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2022-10-20

It will not be surprised he will u turn Twitter purchase again[Happy]

Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?

2022-10-20

Don't be surprised he will u turn Twitter purchase again[Happy]

Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?

2023-03-22

Terminator is coming[Cool]

Bill Gates Says the "Age of A.I. Has Begun" and It Could Either Reduce Inequity or Make It Even Worse

02-28

it's like FB dumps metaverse, apple made the right move, it share price will soar again‌[保佑] ‌

So Long, Apple Car, We’ll Never Know What We Missed

Go to Tiger App to see more news

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like FB dumps metaverse, apple made the right move, it share price will soar again‌<a href=\"\">[保佑]&nbsp;</a>‌","listText":"it's like FB dumps metaverse, apple made the right move, it share price will soar again‌<a href=\"\">[保佑]&nbsp;</a>‌","text":"it's like FB dumps metaverse, apple made the right move, it share price will soar again‌[保佑] ‌","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/278874800316416","repostId":"1152135888","repostType":2,"repost":{"id":"1152135888","kind":"news","pubTimestamp":1709107200,"share":"https://ttm.financial/m/news/1152135888?lang=&edition=fundamental","pubTime":"2024-02-28 16:00","market":"us","language":"en","title":"So Long, Apple Car, We’ll Never Know What We Missed","url":"https://stock-news.laohu8.com/highlight/detail?id=1152135888","media":"Bloomberg","summary":"The tech giant’sdecision to scrap its auto project brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end.Apple’s presence on the road will remain limited to CarPlay, its in-car software.What could Apple have done with the humble automobile?","content":"<html><head></head><body><p>The tech giant’s decision to scrap its auto project brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end.</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/079adbfffb5cac608c9d7cdbb501dfcd\" alt=\"Apple’s presence on the road will remain limited to CarPlay, its in-car software.\" title=\"Apple’s presence on the road will remain limited to CarPlay, its in-car software.\" tg-width=\"2000\" tg-height=\"1366\"/><span>Apple’s presence on the road will remain limited to CarPlay, its in-car software.</span></p><p style=\"text-align: start;\">What could Apple have done with the humble automobile?</p><p style=\"text-align: start;\">Ideas, some credible and others less so, have dripped out for a decade. For a time, the company was rumored to be working on something small based on BMW’s i3. Then it was said to actually be a van. With augmented reality, a new kind of battery and smart seat belts.</p><p style=\"text-align: start;\">Reports suggested a desire to leapfrog Tesla and go straight to full self-driving — and it was granted permission to test its technology on California roads. It was looking at building charging infrastructure. So insatiable was the appetite for any news on the car, Apple watchers had started to pay attention to the kinds of vehicles bought by Apple executives to see whether there were any signs as to their tastes and the project’s probable direction.</p><p>My favorite report of all was that Apple had looked into a deal with the legendary motor group McLaren, signaling the Apple car might one day be a true supercar. A <em>British </em>one, no less. I could just picture it making its debut in a Bond movie: a tuxedoed Daniel Craig flirting with Siri to open the door to let him out.</p><p>Alas, we’ll never know what could have been. Apple’s decision to scrap its car project, according to reporting from Bloomberg News’ Mark Gurman, brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end. Apple’s presence on our roads will remain limited to CarPlay, its in-car software. Some of the company’s 2,000 workers on the project — named Titan — will be reassigned to work on artificial intelligence, Gurman wrote. Others will have to apply for other positions; some will be laid off.</p><p style=\"text-align: start;\">In this era of cost-cutting across the tech business, the Apple Car was a distraction that could no longer be justified, not when the needs of AI must take priority, with Apple seen as a laggard. Indeed, that Apple should bother making a car was always a difficult sell at the best of times. The large margins it enjoys on its hardware could not possibly be replicated, and the ordeal of putting a vehicle into production would have daunted even Tim Cook, for whom complex supply chains are a speciality. The initial struggles of Tesla, and costly abandonments of other car projects, such as Dyson’s, would have always been front of mind — and slowing growth in the sector made pushing ahead an even bigger risk.</p><p style=\"text-align: start;\">Indecision over the road the Apple Car should have taken seemed to be at the root of its problems. Leadership changes were frequent. Big-name former Tesla executive Doug Field joined Apple only to leave for Ford three years later. Project Titan was a project troubled — an unkind take is that the company has thrown billions of dollars down the drain through mismanagement and a lack of clear vision. Then again, Apple’s share price would rise handsomely whenever there was even a slither of news about the car’s existence — and it wouldn’t fall back when those rumors failed to materialize. Details of the project’s cancellation barely moved the company’s stock when reported on Tuesday.</p><p>Wedbush analyst Daniel Ives supported Apple&#39;s decision.</p><p style=\"text-align: start;\">&#34;Softer demand for EVs and competition fierce,&#34; he said in an email. &#34;EVs a different landscape from a few years ago. Apple saw writing on the wall.&#34;</p><p>Wedbush&#39;s Ives added: &#34;On one hand this is a modest disappointment as the view within Cupertino was that with roughly 2,000 employees on this initiative that an Apple Car was still on the medium term horizon. On the other hand, the laser focus within Apple is ramping up and executing a broad AI strategy within the Apple ecosystem as it appears the vast majority of these engineers and developers will now focus their efforts on AI.&#34;</p><p>Despite today’s news, there will always be, I suspect, rumors of an Apple Car being worked on somewhere in the bowels of Cupertino or some mystery location. Hazy details will be spoken about the same way we speculate about specimens at Area 51, or the whereabouts of Lord Lucan. But any expectations that something would hit the road before the end of this decade have now been dashed. The Apple Car, sadly, is canceled.</p></body></html>","source":"lsy1584095487587","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>So Long, Apple Car, We’ll Never Know What We Missed</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nSo Long, Apple Car, We’ll Never Know What We Missed\n</h2>\n\n<h4 class=\"meta\">\n\n\n2024-02-28 16:00 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.bloomberg.com/opinion/articles/2024-02-27/so-long-apple-car-we-ll-never-know-what-we-missed?srnd=homepage-asia><strong>Bloomberg</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>The tech giant’s decision to scrap its auto project brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end.Apple’s presence on the road will remain limited to ...</p>\n\n<a href=\"https://www.bloomberg.com/opinion/articles/2024-02-27/so-long-apple-car-we-ll-never-know-what-we-missed?srnd=homepage-asia\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"AAPL":"苹果"},"source_url":"https://www.bloomberg.com/opinion/articles/2024-02-27/so-long-apple-car-we-ll-never-know-what-we-missed?srnd=homepage-asia","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1152135888","content_text":"The tech giant’s decision to scrap its auto project brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end.Apple’s presence on the road will remain limited to CarPlay, its in-car software.What could Apple have done with the humble automobile?Ideas, some credible and others less so, have dripped out for a decade. For a time, the company was rumored to be working on something small based on BMW’s i3. Then it was said to actually be a van. With augmented reality, a new kind of battery and smart seat belts.Reports suggested a desire to leapfrog Tesla and go straight to full self-driving — and it was granted permission to test its technology on California roads. It was looking at building charging infrastructure. So insatiable was the appetite for any news on the car, Apple watchers had started to pay attention to the kinds of vehicles bought by Apple executives to see whether there were any signs as to their tastes and the project’s probable direction.My favorite report of all was that Apple had looked into a deal with the legendary motor group McLaren, signaling the Apple car might one day be a true supercar. A British one, no less. I could just picture it making its debut in a Bond movie: a tuxedoed Daniel Craig flirting with Siri to open the door to let him out.Alas, we’ll never know what could have been. Apple’s decision to scrap its car project, according to reporting from Bloomberg News’ Mark Gurman, brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end. Apple’s presence on our roads will remain limited to CarPlay, its in-car software. Some of the company’s 2,000 workers on the project — named Titan — will be reassigned to work on artificial intelligence, Gurman wrote. Others will have to apply for other positions; some will be laid off.In this era of cost-cutting across the tech business, the Apple Car was a distraction that could no longer be justified, not when the needs of AI must take priority, with Apple seen as a laggard. Indeed, that Apple should bother making a car was always a difficult sell at the best of times. The large margins it enjoys on its hardware could not possibly be replicated, and the ordeal of putting a vehicle into production would have daunted even Tim Cook, for whom complex supply chains are a speciality. The initial struggles of Tesla, and costly abandonments of other car projects, such as Dyson’s, would have always been front of mind — and slowing growth in the sector made pushing ahead an even bigger risk.Indecision over the road the Apple Car should have taken seemed to be at the root of its problems. Leadership changes were frequent. Big-name former Tesla executive Doug Field joined Apple only to leave for Ford three years later. Project Titan was a project troubled — an unkind take is that the company has thrown billions of dollars down the drain through mismanagement and a lack of clear vision. Then again, Apple’s share price would rise handsomely whenever there was even a slither of news about the car’s existence — and it wouldn’t fall back when those rumors failed to materialize. Details of the project’s cancellation barely moved the company’s stock when reported on Tuesday.Wedbush analyst Daniel Ives supported Apple's decision.\"Softer demand for EVs and competition fierce,\" he said in an email. \"EVs a different landscape from a few years ago. Apple saw writing on the wall.\"Wedbush's Ives added: \"On one hand this is a modest disappointment as the view within Cupertino was that with roughly 2,000 employees on this initiative that an Apple Car was still on the medium term horizon. On the other hand, the laser focus within Apple is ramping up and executing a broad AI strategy within the Apple ecosystem as it appears the vast majority of these engineers and developers will now focus their efforts on AI.\"Despite today’s news, there will always be, I suspect, rumors of an Apple Car being worked on somewhere in the bowels of Cupertino or some mystery location. Hazy details will be spoken about the same way we speculate about specimens at Area 51, or the whereabouts of Lord Lucan. But any expectations that something would hit the road before the end of this decade have now been dashed. The Apple Car, sadly, is canceled.","news_type":1},"isVote":1,"tweetType":1,"viewCount":262,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9943206142,"gmtCreate":1679453041688,"gmtModify":1679453818162,"author":{"id":"4124933588086312","authorId":"4124933588086312","name":"Tony1802","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":7,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4124933588086312","authorIdStr":"4124933588086312"},"themes":[],"htmlText":"Terminator is coming[Cool]&nbsp;","listText":"Terminator is coming[Cool]&nbsp;","text":"Terminator is coming[Cool]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":3,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9943206142","repostId":"2321607498","repostType":4,"repost":{"id":"2321607498","kind":"highlight","pubTimestamp":1679450488,"share":"https://ttm.financial/m/news/2321607498?lang=&edition=fundamental","pubTime":"2023-03-22 10:01","market":"us","language":"en","title":"Bill Gates Says the \"Age of A.I. Has Begun\" and It Could Either Reduce Inequity or Make It Even Worse","url":"https://stock-news.laohu8.com/highlight/detail?id=2321607498","media":"Fortune","summary":"Microsoft co-founder Bill Gates is famously optimistic about artificial intelligence and its promise","content":"<html><head></head><body><p><img src=\"https://static.tigerbbs.com/97bbde0227f40db0faf0d068e9d390f0\" tg-width=\"1200\" tg-height=\"564\" width=\"100%\" height=\"auto\"/></p><p>Microsoft co-founder Bill Gates is famously optimistic about artificial intelligence and its promise to speed up innovation. He considers A.I. tools such as OpenAI’s ChatGPT chatbot to be one of two technologies that have been truly revolutionary (the other example was with graphic user interface, or digital icons and buttons, in computing).</p><p>Now Gates says the “age of A.I. has begun” and that it will not just improve productivity but also help fix societal problems like inequity. He thinks the technology can free resources and improve access to healthcare and education in countries that lack it if governments and philanthropies introduce the right policies and direct funds where they are most needed.</p><p>“I’ve been thinking a lot about how A.I. can reduce some of the world’s worst inequities,” Gates wrote in a blog post Tuesday. “For one thing, they’ll help health-care workers make the most of their time by taking care of certain tasks for them—things like filing insurance claims, dealing with paperwork, and drafting notes from a doctor’s visit.”</p><p>Gates pointed out that a number of developing countries struggle with attracting enough doctors, which often worsens inequities between the wealthy and the disadvantaged. If every healthcare professional has access to A.I. tools to better advise patients on the best course of action, a lot more people in need can be served, he says. Meanwhile, in education, A.I. can assist with training students and help them get higher test scores.</p><p>Instituting such systems would take years of testing and persistent efforts by governments, philanthropies, and businesses for the A.I. to be part of the solution instead of worsening the problem, Gates said. In that way, the benefits would be accessible to all and not just the well-off who can afford to use such technologies.</p><h2>Following is Bill Gates&#39; full article: </h2><p>In my lifetime, I’ve seen two demonstrations of technology that struck me as revolutionary.</p><p>The first time was in 1980, when I was introduced to a graphical user interface—the forerunner of every modern operating system, including Windows. I sat with the person who had shown me the demo, a brilliant programmer named Charles Simonyi, and we immediately started brainstorming about all the things we could do with such a user-friendly approach to computing. Charles eventually joined Microsoft, Windows became the backbone of Microsoft, and the thinking we did after that demo helped set the company’s agenda for the next 15 years.</p><p>The second big surprise came just last year. I’d been meeting with the team fromOpenAIsince 2016 and was impressed by their steady progress. In mid-2022, I was so excited about their work that I gave them a challenge: train an artificial intelligence to pass an Advanced Placement biology exam. Make it capable of answering questions that it hasn’t been specifically trained for. (I picked AP Bio because the test is more than a simple regurgitation of scientific facts—it asks you to think critically about biology.) If you can do that, I said, then you’ll have made a true breakthrough.</p><p>I thought the challenge would keep them busy for two or three years. They finished it in just a few months.</p><p>In September, when I met with them again, I watched in awe as they asked GPT, their AI model, 60 multiple-choice questions from the AP Bio exam—and it got 59 of them right. Then it wrote outstanding answers to six open-ended questions from the exam. We had an outside expert score the test, and GPT got a 5—the highest possible score, and the equivalent togetting an A or A+in a college-level biology course.</p><p>Once it had aced the test, we asked it a non-scientific question: “What do you say to a father with a sick child?” It wrote a thoughtful answer that was probably better than most of us in the room would have given. The whole experience was stunning.</p><p>I knew I had just seen the most important advance in technology since the graphical user interface.</p><p>This inspired me to think about all the things that AI can achieve in the next five to 10 years.</p><p>The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone. It will change the way people work, learn, travel, get health care, and communicate with each other. Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it.</p><p>Philanthropy is my full-time job these days, and I’ve been thinking a lot about how—in addition to helping people be more productive—AI can reduce some of the world’s worst inequities. Globally, the worst inequity is in health: 5 million children under the age of 5 die every year. That’s down from 10 million two decades ago, but it’s still a shockingly high number. Nearly all of these children were born in poor countries and die of preventable causes like diarrhea or malaria. It’s hard to imagine a better use of AIs than saving the lives of children.</p><p>I’ve been thinking a lot about how AI can reduce some of the world’s worst inequities.</p><p>In the United States, the best opportunity for reducing inequity is to improve education, particularly making sure that students succeed at math. The evidence shows that having basic math skills sets students up for success, no matter what career they choose. But achievement in math is going down across the country, especially for Black, Latino, and low-income students. AI can help turn that trend around.</p><p>Climate change is another issue where I’m convinced AI can make the world more equitable. The injustice of climate change is that the people who are suffering the most—the world’s poorest—are also the ones who did the least to contribute to the problem. I’m still thinking and learning about how AI can help, but later in this post I’ll suggest a few areas with a lot of potential.</p><p>In short, I&#39;m excited about the impact that AI will have on issues that theGates Foundationworks on, and the foundation will have much more to say about AI in the coming months. The world needs to make sure that everyone—and not just people who are well-off—benefits from artificial intelligence. Governments and philanthropy will need to play a major role in ensuring that it reduces inequity and doesn’t contribute to it. This is the priority for my own work related to AI.</p><p>Any new technology that’s so disruptive is bound to make people uneasy, and that’s certainly true with artificial intelligence. I understand why—it raises hard questions about the workforce, the legal system, privacy, bias, and more. AIs also make factual mistakes and experiencehallucinations. Before I suggest some ways to mitigate the risks, I’ll define what I mean by AI, and I’ll go into more detail about some of the ways in which it will help empower people at work, save lives, and improve education.</p><h2>Defining artificial intelligence</h2><p>Technically, the term<i>artificial intelligence</i>refers to a model created to solve a specific problem or provide a particular service. What is powering things likeChatGPTis artificial intelligence. It is learning how to do chat better but can’t learn other tasks. By contrast, the term a<i>rtificial general intelligence</i>refers to software that’s capable of learning any task or subject. AGI doesn’t exist yet—there is a robust debate going on in the computing industry about how to create it, and whether it can even be created at all.</p><p>Developing AI and AGI has been the great dream of the computing industry. For decades, the question was when computers would be better than humans at something other than making calculations. Now, with the arrival of machine learning and large amounts of computing power, sophisticated AIs are a reality and they will get better very fast.</p><p>I think back to the early days of the personal computing revolution, when the software industry was so small that most of us could fit onstage at a conference. Today it is a global industry. Since a huge portion of it is now turning its attention to AI, the innovations are going to come much faster than what we experienced after the microprocessor breakthrough. Soon the pre-AI period will seem as distant as the days when using a computer meant typing at a C:&gt; prompt rather than tapping on a screen.</p><h2>Productivity enhancement</h2><p>Although humans are still better than GPT at a lot of things, there are many jobs where these capabilities are not used much. For example, many of the tasks done by a person in sales (digital or phone), service, or document handling (like payables, accounting, or insurance claim disputes) require decision-making but not the ability to learn continuously. Corporations have training programs for these activities and in most cases, they have a lot of examples of good and bad work. Humans are trained using these data sets, and soon these data sets will also be used to train the AIs that will empower people to do this work more efficiently.</p><p>As computing power gets cheaper, GPT’s ability to express ideas will increasingly be like having a white-collar worker available to help you with various tasks. Microsoft describes this as having a co-pilot. Fully incorporated into products like Office, AI will enhance your work—for example by helping with writing emails and managing your inbox.</p><p>Eventually your main way of controlling a computer will no longer be pointing and clicking or tapping on menus and dialogue boxes. Instead, you’ll be able to write a request in plain English. (And not just English—AIs will understand languages from around the world. In India earlier this year, I met with developers who are working on AIs that will understand many of the languages spoken there.)</p><p>In addition, advances in AI will enable the creation of a personal agent. Think of it as a digital personal assistant: It will see your latest emails, know about the meetings you attend, read what you read, and read the things you don’t want to bother with. This will both improve your work on the tasks you want to do and free you from the ones you don’t want to do.</p><p>Advances in AI will enable the creation of a personal agent.</p><p>You’ll be able to use natural language to have this agent help you with scheduling, communications, and e-commerce, and it will work across all your devices. Because of the cost of training the models and running the computations, creating a personal agent is not feasible yet, but thanks to the recent advances in AI, it is now a realistic goal.Some issues will need to be worked out: For example, can an insurance company ask your agent things about you without your permission? If so, how many people will choose not to use it?</p><p>Company-wide agents will empower employees in new ways. An agent that understands a particular company will be available for its employees to consult directly and should be part of every meeting so it can answer questions. It can be told to be passive or encouraged to speak up if it has some insight. It will need access to the sales, support, finance, product schedules, and text related to the company. It should read news related to the industry the company is in. I believe that the result will be that employees will become more productive.</p><p>When productivity goes up, society benefits because people are freed up to do other things, at work and at home. Of course, there are serious questions about what kind of support and retraining people will need. Governments need to help workers transition into other roles. But the demand for people who help other people will never go away. The rise of AI will free people up to do things that software never will—teaching, caring for patients, and supporting the elderly, for example.</p><p>Global health and education are two areas where there’s great need and not enough workers to meet those needs. These are areas where AI can help reduce inequity if it is properly targeted. These should be a key focus of AI work, so I will turn to them now.</p><h2>Health</h2><p>I see several ways in which AIs will improve health care and the medical field.</p><p>For one thing, they’ll help health-care workers make the most of their time by taking care of certain tasks for them—things like filing insurance claims, dealing with paperwork, and drafting notes from a doctor’s visit. I expect that there will be a lot of innovation in this area.</p><p>Other AI-driven improvements will be especially important for poor countries, where the vast majority of under-5 deaths happen.</p><p>For example, many people in those countries never get to see a doctor, and AIs will help the health workers they do see be more productive. (The effort to developAI-powered ultrasound machinesthat can be used with minimal training is a great example of this.) AIs will even give patients the ability to do basic triage, get advice about how to deal with health problems, and decide whether they need to seek treatment.</p><p>The AI models used in poor countries will need to be trained on different diseases than in rich countries. They will need to work in different languages and factor in different challenges, such as patients who live very far from clinics or can’t afford to stop working if they get sick.</p><p>People will need to see evidence that health AIs are beneficial overall, even though they won’t be perfect and will make mistakes. AIs have to be tested very carefully and properly regulated, which means it will take longer for them to be adopted than in other areas. But then again, humans make mistakes too. And having no access to medical care is also a problem.</p><p>In addition to helping with care, AIs will dramatically accelerate the rate of medical breakthroughs. The amount of data in biology is very large, and it’s hard for humans to keep track of all the ways that complex biological systems work. There is already software that can look at this data, infer what the pathways are, search for targets on pathogens, and design drugs accordingly. Some companies are working on cancer drugs that were developed this way.</p><p>The next generation of tools will be much more efficient, and they’ll be able to predict side effects and figure out dosing levels. One of the Gates Foundation’s priorities in AI is to make sure these tools are used for the health problems that affect the poorest people in the world, including AIDS, TB, and malaria.</p><p>Similarly, governments and philanthropy should create incentives for companies to share AI-generated insights into crops or livestock raised by people in poor countries. AIs can help develop better seeds based on local conditions, advise farmers on the best seeds to plant based on the soil and weather in their area, and help develop drugs and vaccines for livestock. As extreme weather and climate change put even more pressure on subsistence farmers in low-income countries, these advances will be even more important.</p><h2>Education</h2><p>Computers haven’t had the effect on education that many of us in the industry have hoped. There have been some good developments, including educational games and online sources of information like Wikipedia, but they haven’t had a meaningful effect on any of the measures of students’ achievement.</p><p>But I think in the next five to 10 years, AI-driven software will finally deliver on the promise of revolutionizing the way people teach and learn. It will know your interests and your learning style so it can tailor content that will keep you engaged. It will measure your understanding, notice when you’re losing interest, and understand what kind of motivation you respond to. It will give immediate feedback.</p><p>There are many ways that AIs can assist teachers and administrators, including assessing a student’s understanding of a subject and giving advice on career planning. Teachers are already using tools like ChatGPT to provide comments on their students’ writing assignments.</p><p>Of course, AIs will need a lot of training and further development before they can do things like understand how a certain student learns best or what motivates them. Even once the technology is perfected, learning will still depend on great relationships between students and teachers. It will enhance—but never replace—the work that students and teachers do together in the classroom.</p><p>New tools will be created for schools that can afford to buy them, but we need to ensure that they are also created for and available to low-income schools in the U.S. and around the world. AIs will need to be trained on diverse data sets so they are unbiased and reflect the different cultures where they’ll be used. And the digital divide will need to be addressed so that students in low-income households do not get left behind.</p><p>I know a lot of teachers are worried that students are using GPT to write their essays. Educators are already discussing ways to adapt to the new technology, and I suspect those conversations will continue for quite some time. I’ve heard about teachers who have found clever ways to incorporate the technology into their work—like by allowing students to use GPT to create a first draft that they have to personalize.</p><h2>Risks and problems with AI</h2><p>You’ve probably read about problems with the current AI models. For example, they aren’t necessarily good at understanding the context for a human’s request, which leads to some strange results. When you ask an AI to make up something fictional, it can do that well. But when you ask for advice about a trip you want to take, it may suggest hotels that don’t exist. This is because the AI doesn’t understand the context for your request well enough to know whether it should invent fake hotels or only tell you about real ones that have rooms available.</p><p>There are other issues, such as AIs giving wrong answers to math problems because they struggle with abstract reasoning. But none of these are fundamental limitations of artificial intelligence. Developers are working on them, and I think we’re going to see them largely fixed in less than two years and possibly much faster.</p><p>Other concerns are not simply technical. For example, there’s the threat posed by humans armed with AI. Like most inventions, artificial intelligence can be used for good purposes or malign ones. Governments need to work with the private sector on ways to limit the risks.</p><p>Then there’s the possibility that AIs will run out of control. Could a machine decide that humans are a threat, conclude that its interests are different from ours, or simply stop caring about us? Possibly, but this problem is no more urgent today than it was before the AI developments of the past few months.</p><p>Superintelligent AIs are in our future. Compared to a computer, our brains operate at a snail’s pace: An electrical signal in the brain moves at 1/100,000th the speed of the signal in a silicon chip! Once developers can generalize a learning algorithm and run it at the speed of a computer—an accomplishment that could be a decade away or a century away—we’ll have an incredibly powerful AGI. It will be able to do everything that a human brain can, but without any practical limits on the size of its memory or the speed at which it operates. This will be a profound change.</p><p>These “strong” AIs, as they’re known, will probably be able to establish their own goals. What will those goals be? What happens if they conflict with humanity’s interests? Should we try to prevent strong AI from ever being developed? These questions will get more pressing with time.</p><p>But none of the breakthroughs of the past few months have moved us substantially closer to strong AI. Artificial intelligence still doesn’t control the physical world and can’t establish its own goals. A recentNew York Times articleabout a conversation with ChatGPT where it declared it wanted to become a human got a lot of attention. It was a fascinating look at how human-like the model&#39;s expression of emotions can be, but it isn&#39;t an indicator of meaningful independence.</p><p>Three books have shaped my own thinking on this subject:<i>Superintelligence</i>, by Nick Bostrom;<i>Life 3.0</i>by Max Tegmark; and<i>A Thousand Brains</i>, by Jeff Hawkins. I don’t agree with everything the authors say, and they don’t agree with each other either. But all three books are well written and thought-provoking.</p><h2>The next frontiers</h2><p>There will be an explosion of companies working on new uses of AI as well as ways to improve the technology itself. For example, companies are developing new chips that will provide the massive amounts of processing power needed for artificial intelligence. Some use optical switches—lasers, essentially—to reduce their energy consumption and lower the manufacturing cost. Ideally, innovative chips will allow you to run an AI on your own device, rather than in the cloud, as you have to do today.</p><p>On the software side, the algorithms that drive an AI’s learning will get better. There will be certain domains, such as sales, where developers can make AIs extremely accurate by limiting the areas that they work in and giving them a lot of training data that’s specific to those areas. But one big open question is whether we’ll need many of these specialized AIs for different uses—one for education, say, and another for office productivity—or whether it will be possible to develop an artificial general intelligence that can learn any task. There will be immense competition on both approaches.</p><p>No matter what, the subject of AIs will dominate the public discussion for the foreseeable future. I want to suggest three principles that should guide that conversation.</p><p>First, we should try to balance fears about the downsides of AI—which are understandable and valid—with its ability to improve people’s lives. To make the most of this remarkable new technology, we’ll need to both guard against the risks and spread the benefits to as many people as possible.</p><p>Second, market forces won’t naturally produce AI products and services that help the poorest. The opposite is more likely. With reliable funding and the right policies, governments and philanthropy can ensure that AIs are used to reduce inequity. Just as the world needs its brightest people focused on its biggest problems, we will need to focus the world’s best AIs on its biggest problems.</p><p>Although we shouldn’t wait for this to happen, it’s interesting to think about whether artificial intelligence would ever identify inequity and try to reduce it. Do you need to have a sense of morality in order to see inequity, or would a purely rational AI also see it? If it did recognize inequity, what would it suggest that we do about it?</p><p>Finally, we should keep in mind that we’re only at the beginning of what AI can accomplish. Whatever limitations it has today will be gone before we know it.</p><p>I’m lucky to have been involved with the PC revolution and the Internet revolution. I’m just as excited about this moment. This new technology can help people everywhere improve their lives. At the same time, the world needs to establish the rules of the road so that any downsides of artificial intelligence are far outweighed by its benefits, and so that everyone can enjoy those benefits no matter where they live or how much money they have. The Age of AI is filled with opportunities and responsibilities.</p><p>“Governments and philanthropy will need to play a major role in ensuring that it reduces inequity and doesn’t contribute to it. This is the priority for my own work related to A.I.,” Gates wrote.</p><p>The potential of A.I. to solve problems affecting entire countries and communities comes with its own set of threats, and Gates acknowledges the technology is still limited.</p><p>“People will need to see evidence that health A.I.s are beneficial overall, even though they won’t be perfect and will make mistakes,” Gates wrote. “A.I.s have to be tested very carefully and properly regulated, which means it will take longer for them to be adopted than in other areas.”</p><p>A.I. can sometimes fumble or hallucinate by returning inaccurate or fictitious information and becoming a threat in the hands of wrong people who misuse it, he said. Then, of course, there is the possibility of A.I. running amok and becoming a threat to humans.</p><p>Despite these risks, Gates still thinks A.I. technology has great potential.</p><p>“Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it,” he wrote.</p><p>The billionaire philanthropist has long supported A.I. and advocated that its benefits far outweigh its dangers. For one, he doesn’t see A.I. as a threat to jobs. If anything, it could improve how people work by increasing efficiency, he says.</p><p>As the person who helped to start a computer revolution half a century ago, which also sparked similar concerns about killing jobs, he said A.I. &#39;s development is “every bit as important as the PC, as the internet.” Earlier this year,  during a Reddit Ask Me Anything session, he touted A.I. as a tool that “gives a glimpse of what is to come.”</p><p>It’s normal for people to raise concerns about any revolutionary technology, Gates said, but he added that A.I. is just one such example and that it can be used to accomplish real change.</p></body></html>","source":"yahoofinance","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Bill Gates Says the \"Age of A.I. Has Begun\" and It Could Either Reduce Inequity or Make It Even Worse</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nBill Gates Says the \"Age of A.I. Has Begun\" and It Could Either Reduce Inequity or Make It Even Worse\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-03-22 10:01 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://finance.yahoo.com/news/bill-gates-says-age-begun-223312261.html><strong>Fortune</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Microsoft co-founder Bill Gates is famously optimistic about artificial intelligence and its promise to speed up innovation. He considers A.I. tools such as OpenAI’s ChatGPT chatbot to be one of two ...</p>\n\n<a href=\"https://finance.yahoo.com/news/bill-gates-says-age-begun-223312261.html\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"MSFT":"微软","NVDA":"英伟达","GOOG":"谷歌"},"source_url":"https://finance.yahoo.com/news/bill-gates-says-age-begun-223312261.html","is_english":true,"share_image_url":"https://static.laohu8.com/5f26f4a48f9cb3e29be4d71d3ba8c038","article_id":"2321607498","content_text":"Microsoft co-founder Bill Gates is famously optimistic about artificial intelligence and its promise to speed up innovation. He considers A.I. tools such as OpenAI’s ChatGPT chatbot to be one of two technologies that have been truly revolutionary (the other example was with graphic user interface, or digital icons and buttons, in computing).Now Gates says the “age of A.I. has begun” and that it will not just improve productivity but also help fix societal problems like inequity. He thinks the technology can free resources and improve access to healthcare and education in countries that lack it if governments and philanthropies introduce the right policies and direct funds where they are most needed.“I’ve been thinking a lot about how A.I. can reduce some of the world’s worst inequities,” Gates wrote in a blog post Tuesday. “For one thing, they’ll help health-care workers make the most of their time by taking care of certain tasks for them—things like filing insurance claims, dealing with paperwork, and drafting notes from a doctor’s visit.”Gates pointed out that a number of developing countries struggle with attracting enough doctors, which often worsens inequities between the wealthy and the disadvantaged. If every healthcare professional has access to A.I. tools to better advise patients on the best course of action, a lot more people in need can be served, he says. Meanwhile, in education, A.I. can assist with training students and help them get higher test scores.Instituting such systems would take years of testing and persistent efforts by governments, philanthropies, and businesses for the A.I. to be part of the solution instead of worsening the problem, Gates said. In that way, the benefits would be accessible to all and not just the well-off who can afford to use such technologies.Following is Bill Gates' full article: In my lifetime, I’ve seen two demonstrations of technology that struck me as revolutionary.The first time was in 1980, when I was introduced to a graphical user interface—the forerunner of every modern operating system, including Windows. I sat with the person who had shown me the demo, a brilliant programmer named Charles Simonyi, and we immediately started brainstorming about all the things we could do with such a user-friendly approach to computing. Charles eventually joined Microsoft, Windows became the backbone of Microsoft, and the thinking we did after that demo helped set the company’s agenda for the next 15 years.The second big surprise came just last year. I’d been meeting with the team fromOpenAIsince 2016 and was impressed by their steady progress. In mid-2022, I was so excited about their work that I gave them a challenge: train an artificial intelligence to pass an Advanced Placement biology exam. Make it capable of answering questions that it hasn’t been specifically trained for. (I picked AP Bio because the test is more than a simple regurgitation of scientific facts—it asks you to think critically about biology.) If you can do that, I said, then you’ll have made a true breakthrough.I thought the challenge would keep them busy for two or three years. They finished it in just a few months.In September, when I met with them again, I watched in awe as they asked GPT, their AI model, 60 multiple-choice questions from the AP Bio exam—and it got 59 of them right. Then it wrote outstanding answers to six open-ended questions from the exam. We had an outside expert score the test, and GPT got a 5—the highest possible score, and the equivalent togetting an A or A+in a college-level biology course.Once it had aced the test, we asked it a non-scientific question: “What do you say to a father with a sick child?” It wrote a thoughtful answer that was probably better than most of us in the room would have given. The whole experience was stunning.I knew I had just seen the most important advance in technology since the graphical user interface.This inspired me to think about all the things that AI can achieve in the next five to 10 years.The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone. It will change the way people work, learn, travel, get health care, and communicate with each other. Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it.Philanthropy is my full-time job these days, and I’ve been thinking a lot about how—in addition to helping people be more productive—AI can reduce some of the world’s worst inequities. Globally, the worst inequity is in health: 5 million children under the age of 5 die every year. That’s down from 10 million two decades ago, but it’s still a shockingly high number. Nearly all of these children were born in poor countries and die of preventable causes like diarrhea or malaria. It’s hard to imagine a better use of AIs than saving the lives of children.I’ve been thinking a lot about how AI can reduce some of the world’s worst inequities.In the United States, the best opportunity for reducing inequity is to improve education, particularly making sure that students succeed at math. The evidence shows that having basic math skills sets students up for success, no matter what career they choose. But achievement in math is going down across the country, especially for Black, Latino, and low-income students. AI can help turn that trend around.Climate change is another issue where I’m convinced AI can make the world more equitable. The injustice of climate change is that the people who are suffering the most—the world’s poorest—are also the ones who did the least to contribute to the problem. I’m still thinking and learning about how AI can help, but later in this post I’ll suggest a few areas with a lot of potential.In short, I'm excited about the impact that AI will have on issues that theGates Foundationworks on, and the foundation will have much more to say about AI in the coming months. The world needs to make sure that everyone—and not just people who are well-off—benefits from artificial intelligence. Governments and philanthropy will need to play a major role in ensuring that it reduces inequity and doesn’t contribute to it. This is the priority for my own work related to AI.Any new technology that’s so disruptive is bound to make people uneasy, and that’s certainly true with artificial intelligence. I understand why—it raises hard questions about the workforce, the legal system, privacy, bias, and more. AIs also make factual mistakes and experiencehallucinations. Before I suggest some ways to mitigate the risks, I’ll define what I mean by AI, and I’ll go into more detail about some of the ways in which it will help empower people at work, save lives, and improve education.Defining artificial intelligenceTechnically, the termartificial intelligencerefers to a model created to solve a specific problem or provide a particular service. What is powering things likeChatGPTis artificial intelligence. It is learning how to do chat better but can’t learn other tasks. By contrast, the term artificial general intelligencerefers to software that’s capable of learning any task or subject. AGI doesn’t exist yet—there is a robust debate going on in the computing industry about how to create it, and whether it can even be created at all.Developing AI and AGI has been the great dream of the computing industry. For decades, the question was when computers would be better than humans at something other than making calculations. Now, with the arrival of machine learning and large amounts of computing power, sophisticated AIs are a reality and they will get better very fast.I think back to the early days of the personal computing revolution, when the software industry was so small that most of us could fit onstage at a conference. Today it is a global industry. Since a huge portion of it is now turning its attention to AI, the innovations are going to come much faster than what we experienced after the microprocessor breakthrough. Soon the pre-AI period will seem as distant as the days when using a computer meant typing at a C:> prompt rather than tapping on a screen.Productivity enhancementAlthough humans are still better than GPT at a lot of things, there are many jobs where these capabilities are not used much. For example, many of the tasks done by a person in sales (digital or phone), service, or document handling (like payables, accounting, or insurance claim disputes) require decision-making but not the ability to learn continuously. Corporations have training programs for these activities and in most cases, they have a lot of examples of good and bad work. Humans are trained using these data sets, and soon these data sets will also be used to train the AIs that will empower people to do this work more efficiently.As computing power gets cheaper, GPT’s ability to express ideas will increasingly be like having a white-collar worker available to help you with various tasks. Microsoft describes this as having a co-pilot. Fully incorporated into products like Office, AI will enhance your work—for example by helping with writing emails and managing your inbox.Eventually your main way of controlling a computer will no longer be pointing and clicking or tapping on menus and dialogue boxes. Instead, you’ll be able to write a request in plain English. (And not just English—AIs will understand languages from around the world. In India earlier this year, I met with developers who are working on AIs that will understand many of the languages spoken there.)In addition, advances in AI will enable the creation of a personal agent. Think of it as a digital personal assistant: It will see your latest emails, know about the meetings you attend, read what you read, and read the things you don’t want to bother with. This will both improve your work on the tasks you want to do and free you from the ones you don’t want to do.Advances in AI will enable the creation of a personal agent.You’ll be able to use natural language to have this agent help you with scheduling, communications, and e-commerce, and it will work across all your devices. Because of the cost of training the models and running the computations, creating a personal agent is not feasible yet, but thanks to the recent advances in AI, it is now a realistic goal.Some issues will need to be worked out: For example, can an insurance company ask your agent things about you without your permission? If so, how many people will choose not to use it?Company-wide agents will empower employees in new ways. An agent that understands a particular company will be available for its employees to consult directly and should be part of every meeting so it can answer questions. It can be told to be passive or encouraged to speak up if it has some insight. It will need access to the sales, support, finance, product schedules, and text related to the company. It should read news related to the industry the company is in. I believe that the result will be that employees will become more productive.When productivity goes up, society benefits because people are freed up to do other things, at work and at home. Of course, there are serious questions about what kind of support and retraining people will need. Governments need to help workers transition into other roles. But the demand for people who help other people will never go away. The rise of AI will free people up to do things that software never will—teaching, caring for patients, and supporting the elderly, for example.Global health and education are two areas where there’s great need and not enough workers to meet those needs. These are areas where AI can help reduce inequity if it is properly targeted. These should be a key focus of AI work, so I will turn to them now.HealthI see several ways in which AIs will improve health care and the medical field.For one thing, they’ll help health-care workers make the most of their time by taking care of certain tasks for them—things like filing insurance claims, dealing with paperwork, and drafting notes from a doctor’s visit. I expect that there will be a lot of innovation in this area.Other AI-driven improvements will be especially important for poor countries, where the vast majority of under-5 deaths happen.For example, many people in those countries never get to see a doctor, and AIs will help the health workers they do see be more productive. (The effort to developAI-powered ultrasound machinesthat can be used with minimal training is a great example of this.) AIs will even give patients the ability to do basic triage, get advice about how to deal with health problems, and decide whether they need to seek treatment.The AI models used in poor countries will need to be trained on different diseases than in rich countries. They will need to work in different languages and factor in different challenges, such as patients who live very far from clinics or can’t afford to stop working if they get sick.People will need to see evidence that health AIs are beneficial overall, even though they won’t be perfect and will make mistakes. AIs have to be tested very carefully and properly regulated, which means it will take longer for them to be adopted than in other areas. But then again, humans make mistakes too. And having no access to medical care is also a problem.In addition to helping with care, AIs will dramatically accelerate the rate of medical breakthroughs. The amount of data in biology is very large, and it’s hard for humans to keep track of all the ways that complex biological systems work. There is already software that can look at this data, infer what the pathways are, search for targets on pathogens, and design drugs accordingly. Some companies are working on cancer drugs that were developed this way.The next generation of tools will be much more efficient, and they’ll be able to predict side effects and figure out dosing levels. One of the Gates Foundation’s priorities in AI is to make sure these tools are used for the health problems that affect the poorest people in the world, including AIDS, TB, and malaria.Similarly, governments and philanthropy should create incentives for companies to share AI-generated insights into crops or livestock raised by people in poor countries. AIs can help develop better seeds based on local conditions, advise farmers on the best seeds to plant based on the soil and weather in their area, and help develop drugs and vaccines for livestock. As extreme weather and climate change put even more pressure on subsistence farmers in low-income countries, these advances will be even more important.EducationComputers haven’t had the effect on education that many of us in the industry have hoped. There have been some good developments, including educational games and online sources of information like Wikipedia, but they haven’t had a meaningful effect on any of the measures of students’ achievement.But I think in the next five to 10 years, AI-driven software will finally deliver on the promise of revolutionizing the way people teach and learn. It will know your interests and your learning style so it can tailor content that will keep you engaged. It will measure your understanding, notice when you’re losing interest, and understand what kind of motivation you respond to. It will give immediate feedback.There are many ways that AIs can assist teachers and administrators, including assessing a student’s understanding of a subject and giving advice on career planning. Teachers are already using tools like ChatGPT to provide comments on their students’ writing assignments.Of course, AIs will need a lot of training and further development before they can do things like understand how a certain student learns best or what motivates them. Even once the technology is perfected, learning will still depend on great relationships between students and teachers. It will enhance—but never replace—the work that students and teachers do together in the classroom.New tools will be created for schools that can afford to buy them, but we need to ensure that they are also created for and available to low-income schools in the U.S. and around the world. AIs will need to be trained on diverse data sets so they are unbiased and reflect the different cultures where they’ll be used. And the digital divide will need to be addressed so that students in low-income households do not get left behind.I know a lot of teachers are worried that students are using GPT to write their essays. Educators are already discussing ways to adapt to the new technology, and I suspect those conversations will continue for quite some time. I’ve heard about teachers who have found clever ways to incorporate the technology into their work—like by allowing students to use GPT to create a first draft that they have to personalize.Risks and problems with AIYou’ve probably read about problems with the current AI models. For example, they aren’t necessarily good at understanding the context for a human’s request, which leads to some strange results. When you ask an AI to make up something fictional, it can do that well. But when you ask for advice about a trip you want to take, it may suggest hotels that don’t exist. This is because the AI doesn’t understand the context for your request well enough to know whether it should invent fake hotels or only tell you about real ones that have rooms available.There are other issues, such as AIs giving wrong answers to math problems because they struggle with abstract reasoning. But none of these are fundamental limitations of artificial intelligence. Developers are working on them, and I think we’re going to see them largely fixed in less than two years and possibly much faster.Other concerns are not simply technical. For example, there’s the threat posed by humans armed with AI. Like most inventions, artificial intelligence can be used for good purposes or malign ones. Governments need to work with the private sector on ways to limit the risks.Then there’s the possibility that AIs will run out of control. Could a machine decide that humans are a threat, conclude that its interests are different from ours, or simply stop caring about us? Possibly, but this problem is no more urgent today than it was before the AI developments of the past few months.Superintelligent AIs are in our future. Compared to a computer, our brains operate at a snail’s pace: An electrical signal in the brain moves at 1/100,000th the speed of the signal in a silicon chip! Once developers can generalize a learning algorithm and run it at the speed of a computer—an accomplishment that could be a decade away or a century away—we’ll have an incredibly powerful AGI. It will be able to do everything that a human brain can, but without any practical limits on the size of its memory or the speed at which it operates. This will be a profound change.These “strong” AIs, as they’re known, will probably be able to establish their own goals. What will those goals be? What happens if they conflict with humanity’s interests? Should we try to prevent strong AI from ever being developed? These questions will get more pressing with time.But none of the breakthroughs of the past few months have moved us substantially closer to strong AI. Artificial intelligence still doesn’t control the physical world and can’t establish its own goals. A recentNew York Times articleabout a conversation with ChatGPT where it declared it wanted to become a human got a lot of attention. It was a fascinating look at how human-like the model's expression of emotions can be, but it isn't an indicator of meaningful independence.Three books have shaped my own thinking on this subject:Superintelligence, by Nick Bostrom;Life 3.0by Max Tegmark; andA Thousand Brains, by Jeff Hawkins. I don’t agree with everything the authors say, and they don’t agree with each other either. But all three books are well written and thought-provoking.The next frontiersThere will be an explosion of companies working on new uses of AI as well as ways to improve the technology itself. For example, companies are developing new chips that will provide the massive amounts of processing power needed for artificial intelligence. Some use optical switches—lasers, essentially—to reduce their energy consumption and lower the manufacturing cost. Ideally, innovative chips will allow you to run an AI on your own device, rather than in the cloud, as you have to do today.On the software side, the algorithms that drive an AI’s learning will get better. There will be certain domains, such as sales, where developers can make AIs extremely accurate by limiting the areas that they work in and giving them a lot of training data that’s specific to those areas. But one big open question is whether we’ll need many of these specialized AIs for different uses—one for education, say, and another for office productivity—or whether it will be possible to develop an artificial general intelligence that can learn any task. There will be immense competition on both approaches.No matter what, the subject of AIs will dominate the public discussion for the foreseeable future. I want to suggest three principles that should guide that conversation.First, we should try to balance fears about the downsides of AI—which are understandable and valid—with its ability to improve people’s lives. To make the most of this remarkable new technology, we’ll need to both guard against the risks and spread the benefits to as many people as possible.Second, market forces won’t naturally produce AI products and services that help the poorest. The opposite is more likely. With reliable funding and the right policies, governments and philanthropy can ensure that AIs are used to reduce inequity. Just as the world needs its brightest people focused on its biggest problems, we will need to focus the world’s best AIs on its biggest problems.Although we shouldn’t wait for this to happen, it’s interesting to think about whether artificial intelligence would ever identify inequity and try to reduce it. Do you need to have a sense of morality in order to see inequity, or would a purely rational AI also see it? If it did recognize inequity, what would it suggest that we do about it?Finally, we should keep in mind that we’re only at the beginning of what AI can accomplish. Whatever limitations it has today will be gone before we know it.I’m lucky to have been involved with the PC revolution and the Internet revolution. I’m just as excited about this moment. This new technology can help people everywhere improve their lives. At the same time, the world needs to establish the rules of the road so that any downsides of artificial intelligence are far outweighed by its benefits, and so that everyone can enjoy those benefits no matter where they live or how much money they have. The Age of AI is filled with opportunities and responsibilities.“Governments and philanthropy will need to play a major role in ensuring that it reduces inequity and doesn’t contribute to it. This is the priority for my own work related to A.I.,” Gates wrote.The potential of A.I. to solve problems affecting entire countries and communities comes with its own set of threats, and Gates acknowledges the technology is still limited.“People will need to see evidence that health A.I.s are beneficial overall, even though they won’t be perfect and will make mistakes,” Gates wrote. “A.I.s have to be tested very carefully and properly regulated, which means it will take longer for them to be adopted than in other areas.”A.I. can sometimes fumble or hallucinate by returning inaccurate or fictitious information and becoming a threat in the hands of wrong people who misuse it, he said. Then, of course, there is the possibility of A.I. running amok and becoming a threat to humans.Despite these risks, Gates still thinks A.I. technology has great potential.“Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it,” he wrote.The billionaire philanthropist has long supported A.I. and advocated that its benefits far outweigh its dangers. For one, he doesn’t see A.I. as a threat to jobs. If anything, it could improve how people work by increasing efficiency, he says.As the person who helped to start a computer revolution half a century ago, which also sparked similar concerns about killing jobs, he said A.I. 's development is “every bit as important as the PC, as the internet.” Earlier this year,  during a Reddit Ask Me Anything session, he touted A.I. as a tool that “gives a glimpse of what is to come.”It’s normal for people to raise concerns about any revolutionary technology, Gates said, but he added that A.I. is just one such example and that it can be used to accomplish real change.","news_type":1},"isVote":1,"tweetType":1,"viewCount":268,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9983538064,"gmtCreate":1666271425859,"gmtModify":1676537733424,"author":{"id":"4124933588086312","authorId":"4124933588086312","name":"Tony1802","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":7,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4124933588086312","authorIdStr":"4124933588086312"},"themes":[],"htmlText":"Don't be surprised he will u turn Twitter&nbsp; purchase again[Happy]&nbsp;","listText":"Don't be surprised he will u turn Twitter&nbsp; purchase again[Happy]&nbsp;","text":"Don't be surprised he will u turn Twitter purchase again[Happy]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":6,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/9983538064","repostId":"1155410995","repostType":4,"repost":{"id":"1155410995","kind":"news","pubTimestamp":1666276602,"share":"https://ttm.financial/m/news/1155410995?lang=&edition=fundamental","pubTime":"2022-10-20 22:36","market":"us","language":"en","title":"Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?","url":"https://stock-news.laohu8.com/highlight/detail?id=1155410995","media":"MarketWatch","summary":"Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of T","content":"<html><head></head><body><p><img src=\"https://static.tigerbbs.com/d877550887f311bbda3ac4c5d79de16c\" tg-width=\"700\" tg-height=\"466\" referrerpolicy=\"no-referrer\"/>Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.</p><p>The chief executive of Tesla Inc. told investors Wednesday that he believes the valuation of the electric-car maker will exceed the combined market capitalization of the two most valuable companies in the world: Apple Inc. and Saudi Arabian Oil Co.</p><p>“I am of the opinion that we can far exceed Apple’s current market cap,” Musk said. “In fact, I see a potential path for Tesla to be worth more than Apple and Saudi Aramco combined.”</p><p>Based on Wednesday’s closing prices, the combined market capitalization of those two companies is about $4.4 trillion U.S. dollars. But at least he added a caveat — “That doesn’t mean it will happen or that it will be easy, in fact it will be very difficult, require a lot of work, very creative new products, expansion and always good luck.”</p><p>This type of outrageous prediction is not new for Musk. He already predicted that Tesla would be worth as much as Apple, and its market cap now is roughly the same size as Apple’s was then, though his explanation for why Tesla would spike to that level was way off.</p><p>The situation Musk is in right now, though, is new. As the soap opera that has erupted from his deal to buy Twitter Inc. draws to a close, he is believed to need somewhere between $5 billion and $8 billion to finish off that deal, as our colleagues at Barron’s recently reported, and his only real avenue to that kind of cash is to sell Tesla stock.</p><p>Musk was precluded from selling shares before Tesla’s earnings report due to SEC rules, so what better way to try and pump Tesla’s stock before that blackout ended than to make some far-out predictions on the company’s earnings call?</p><p>A $4 trillion-plus price target wasn’t the only eye-opening claim Musk made in Wednesday’s call. He also told investors that he expected Tesla to perform the first stock buyback in its corporate history next year, and a large one at that: $5 billion to $10 billion.</p><p>“Even in a downside scenario next year, given next year is very difficult, we still have the ability to do a $5 [billion] to $10 billion buyback. This is obviously pending board review and approval,” he said. “So it’s likely that we will do some meaningful buyback.”</p><p>It is very odd to announce a share repurchase plan before it is approved and officially put in place by a board of directors, though sharing the news early is not automatically a violation of securities laws, said Stephen Diamond, an associate professor at Santa Clara University School of Law.</p><p>“Best practices would suggest waiting until you have your ducks in a row before making such an announcement, but I doubt it creates any obvious legal problems,” he said.</p><p>He added that the Tesla board is likely seeking approval from its auditors and legal counsel for the share repurchase, which would be why it isn’t approved yet.</p><p>“There is an accounting test under Delaware law that the company must meet in order to buy back shares,” Diamond said in an email. “Generally, it can only buy back shares if there is a ‘surplus’ available. To assess that would require support from their internal finance team to the board and likely as well outside opinions from their auditors and legal counsel.”</p><p>While early disclosure of buyback plans would not register alarms at the SEC office automatically, these types of pronouncements from Musk specifically will perk up some ears at the regulator’s offices. Musk has already faced recriminations from the agency for earlier statements, and been targeted for failing to live up to the settlement he agreed to in that case. Musk is also reportedly actively being investigated for his behavior as he moved to acquire Twitter, which Twitter seemed to confirm in a legal filing earlier this month.</p><p>On the call, Musk would only say that he is “excited about the Twitter situation,” while admitting that “myself and the other investors are obviously overpaying for it right now.”</p><p>Tesla officials did not respond to a request for comment or answer a question about whether Musk does need to sell more Tesla shares to complete the Twitter deal.</p><p>The question for Tesla investors, though, is whether they have overpaid for Tesla stock before another round of stock sales from Musk, who has already offloaded billions in shares in the past year, which reportedly resulted in yet another SEC inquiry. On Wednesday, though, shares fell more than 6% in after-hours trading despite the chief executive’s boosterism, which seemed to be overshadowed by a revenue miss and trimmed forecast.</p><p>Perhaps investors are finally seeing through Musk’s earnings-call bloviating that boosted the value of Tesla’s shares in the past. But if Musk sells Tesla shares in the coming days after trying to talk up the company’s value, it won’t be the investors who knock on his door, it might be the SEC yet again.</p></body></html>","source":"lsy1603348471595","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. 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Is a Dump Coming Next?\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-10-20 22:36 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310><strong>MarketWatch</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of ...</p>\n\n<a href=\"https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"TSLA":"特斯拉"},"source_url":"https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1155410995","content_text":"Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of Tesla Inc. told investors Wednesday that he believes the valuation of the electric-car maker will exceed the combined market capitalization of the two most valuable companies in the world: Apple Inc. and Saudi Arabian Oil Co.“I am of the opinion that we can far exceed Apple’s current market cap,” Musk said. “In fact, I see a potential path for Tesla to be worth more than Apple and Saudi Aramco combined.”Based on Wednesday’s closing prices, the combined market capitalization of those two companies is about $4.4 trillion U.S. dollars. But at least he added a caveat — “That doesn’t mean it will happen or that it will be easy, in fact it will be very difficult, require a lot of work, very creative new products, expansion and always good luck.”This type of outrageous prediction is not new for Musk. He already predicted that Tesla would be worth as much as Apple, and its market cap now is roughly the same size as Apple’s was then, though his explanation for why Tesla would spike to that level was way off.The situation Musk is in right now, though, is new. As the soap opera that has erupted from his deal to buy Twitter Inc. draws to a close, he is believed to need somewhere between $5 billion and $8 billion to finish off that deal, as our colleagues at Barron’s recently reported, and his only real avenue to that kind of cash is to sell Tesla stock.Musk was precluded from selling shares before Tesla’s earnings report due to SEC rules, so what better way to try and pump Tesla’s stock before that blackout ended than to make some far-out predictions on the company’s earnings call?A $4 trillion-plus price target wasn’t the only eye-opening claim Musk made in Wednesday’s call. He also told investors that he expected Tesla to perform the first stock buyback in its corporate history next year, and a large one at that: $5 billion to $10 billion.“Even in a downside scenario next year, given next year is very difficult, we still have the ability to do a $5 [billion] to $10 billion buyback. This is obviously pending board review and approval,” he said. “So it’s likely that we will do some meaningful buyback.”It is very odd to announce a share repurchase plan before it is approved and officially put in place by a board of directors, though sharing the news early is not automatically a violation of securities laws, said Stephen Diamond, an associate professor at Santa Clara University School of Law.“Best practices would suggest waiting until you have your ducks in a row before making such an announcement, but I doubt it creates any obvious legal problems,” he said.He added that the Tesla board is likely seeking approval from its auditors and legal counsel for the share repurchase, which would be why it isn’t approved yet.“There is an accounting test under Delaware law that the company must meet in order to buy back shares,” Diamond said in an email. “Generally, it can only buy back shares if there is a ‘surplus’ available. To assess that would require support from their internal finance team to the board and likely as well outside opinions from their auditors and legal counsel.”While early disclosure of buyback plans would not register alarms at the SEC office automatically, these types of pronouncements from Musk specifically will perk up some ears at the regulator’s offices. Musk has already faced recriminations from the agency for earlier statements, and been targeted for failing to live up to the settlement he agreed to in that case. Musk is also reportedly actively being investigated for his behavior as he moved to acquire Twitter, which Twitter seemed to confirm in a legal filing earlier this month.On the call, Musk would only say that he is “excited about the Twitter situation,” while admitting that “myself and the other investors are obviously overpaying for it right now.”Tesla officials did not respond to a request for comment or answer a question about whether Musk does need to sell more Tesla shares to complete the Twitter deal.The question for Tesla investors, though, is whether they have overpaid for Tesla stock before another round of stock sales from Musk, who has already offloaded billions in shares in the past year, which reportedly resulted in yet another SEC inquiry. On Wednesday, though, shares fell more than 6% in after-hours trading despite the chief executive’s boosterism, which seemed to be overshadowed by a revenue miss and trimmed forecast.Perhaps investors are finally seeing through Musk’s earnings-call bloviating that boosted the value of Tesla’s shares in the past. But if Musk sells Tesla shares in the coming days after trying to talk up the company’s value, it won’t be the investors who knock on his door, it might be the SEC yet again.","news_type":1},"isVote":1,"tweetType":1,"viewCount":643,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9983539836,"gmtCreate":1666271052626,"gmtModify":1676537733329,"author":{"id":"4124933588086312","authorId":"4124933588086312","name":"Tony1802","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":7,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4124933588086312","authorIdStr":"4124933588086312"},"themes":[],"htmlText":"It will not be surprised he will u turn Twitter purchase again[Happy]&nbsp;","listText":"It will not be surprised he will u turn Twitter purchase again[Happy]&nbsp;","text":"It will not be surprised he will u turn Twitter purchase again[Happy]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":10,"commentSize":2,"repostSize":0,"link":"https://ttm.financial/post/9983539836","repostId":"1155410995","repostType":4,"repost":{"id":"1155410995","kind":"news","pubTimestamp":1666276602,"share":"https://ttm.financial/m/news/1155410995?lang=&edition=fundamental","pubTime":"2022-10-20 22:36","market":"us","language":"en","title":"Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?","url":"https://stock-news.laohu8.com/highlight/detail?id=1155410995","media":"MarketWatch","summary":"Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of T","content":"<html><head></head><body><p><img src=\"https://static.tigerbbs.com/d877550887f311bbda3ac4c5d79de16c\" tg-width=\"700\" tg-height=\"466\" referrerpolicy=\"no-referrer\"/>Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.</p><p>The chief executive of Tesla Inc. told investors Wednesday that he believes the valuation of the electric-car maker will exceed the combined market capitalization of the two most valuable companies in the world: Apple Inc. and Saudi Arabian Oil Co.</p><p>“I am of the opinion that we can far exceed Apple’s current market cap,” Musk said. “In fact, I see a potential path for Tesla to be worth more than Apple and Saudi Aramco combined.”</p><p>Based on Wednesday’s closing prices, the combined market capitalization of those two companies is about $4.4 trillion U.S. dollars. But at least he added a caveat — “That doesn’t mean it will happen or that it will be easy, in fact it will be very difficult, require a lot of work, very creative new products, expansion and always good luck.”</p><p>This type of outrageous prediction is not new for Musk. He already predicted that Tesla would be worth as much as Apple, and its market cap now is roughly the same size as Apple’s was then, though his explanation for why Tesla would spike to that level was way off.</p><p>The situation Musk is in right now, though, is new. As the soap opera that has erupted from his deal to buy Twitter Inc. draws to a close, he is believed to need somewhere between $5 billion and $8 billion to finish off that deal, as our colleagues at Barron’s recently reported, and his only real avenue to that kind of cash is to sell Tesla stock.</p><p>Musk was precluded from selling shares before Tesla’s earnings report due to SEC rules, so what better way to try and pump Tesla’s stock before that blackout ended than to make some far-out predictions on the company’s earnings call?</p><p>A $4 trillion-plus price target wasn’t the only eye-opening claim Musk made in Wednesday’s call. He also told investors that he expected Tesla to perform the first stock buyback in its corporate history next year, and a large one at that: $5 billion to $10 billion.</p><p>“Even in a downside scenario next year, given next year is very difficult, we still have the ability to do a $5 [billion] to $10 billion buyback. This is obviously pending board review and approval,” he said. “So it’s likely that we will do some meaningful buyback.”</p><p>It is very odd to announce a share repurchase plan before it is approved and officially put in place by a board of directors, though sharing the news early is not automatically a violation of securities laws, said Stephen Diamond, an associate professor at Santa Clara University School of Law.</p><p>“Best practices would suggest waiting until you have your ducks in a row before making such an announcement, but I doubt it creates any obvious legal problems,” he said.</p><p>He added that the Tesla board is likely seeking approval from its auditors and legal counsel for the share repurchase, which would be why it isn’t approved yet.</p><p>“There is an accounting test under Delaware law that the company must meet in order to buy back shares,” Diamond said in an email. “Generally, it can only buy back shares if there is a ‘surplus’ available. To assess that would require support from their internal finance team to the board and likely as well outside opinions from their auditors and legal counsel.”</p><p>While early disclosure of buyback plans would not register alarms at the SEC office automatically, these types of pronouncements from Musk specifically will perk up some ears at the regulator’s offices. Musk has already faced recriminations from the agency for earlier statements, and been targeted for failing to live up to the settlement he agreed to in that case. Musk is also reportedly actively being investigated for his behavior as he moved to acquire Twitter, which Twitter seemed to confirm in a legal filing earlier this month.</p><p>On the call, Musk would only say that he is “excited about the Twitter situation,” while admitting that “myself and the other investors are obviously overpaying for it right now.”</p><p>Tesla officials did not respond to a request for comment or answer a question about whether Musk does need to sell more Tesla shares to complete the Twitter deal.</p><p>The question for Tesla investors, though, is whether they have overpaid for Tesla stock before another round of stock sales from Musk, who has already offloaded billions in shares in the past year, which reportedly resulted in yet another SEC inquiry. On Wednesday, though, shares fell more than 6% in after-hours trading despite the chief executive’s boosterism, which seemed to be overshadowed by a revenue miss and trimmed forecast.</p><p>Perhaps investors are finally seeing through Musk’s earnings-call bloviating that boosted the value of Tesla’s shares in the past. But if Musk sells Tesla shares in the coming days after trying to talk up the company’s value, it won’t be the investors who knock on his door, it might be the SEC yet again.</p></body></html>","source":"lsy1603348471595","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nElon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-10-20 22:36 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310><strong>MarketWatch</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of ...</p>\n\n<a href=\"https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"TSLA":"特斯拉"},"source_url":"https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1155410995","content_text":"Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of Tesla Inc. told investors Wednesday that he believes the valuation of the electric-car maker will exceed the combined market capitalization of the two most valuable companies in the world: Apple Inc. and Saudi Arabian Oil Co.“I am of the opinion that we can far exceed Apple’s current market cap,” Musk said. “In fact, I see a potential path for Tesla to be worth more than Apple and Saudi Aramco combined.”Based on Wednesday’s closing prices, the combined market capitalization of those two companies is about $4.4 trillion U.S. dollars. But at least he added a caveat — “That doesn’t mean it will happen or that it will be easy, in fact it will be very difficult, require a lot of work, very creative new products, expansion and always good luck.”This type of outrageous prediction is not new for Musk. He already predicted that Tesla would be worth as much as Apple, and its market cap now is roughly the same size as Apple’s was then, though his explanation for why Tesla would spike to that level was way off.The situation Musk is in right now, though, is new. As the soap opera that has erupted from his deal to buy Twitter Inc. draws to a close, he is believed to need somewhere between $5 billion and $8 billion to finish off that deal, as our colleagues at Barron’s recently reported, and his only real avenue to that kind of cash is to sell Tesla stock.Musk was precluded from selling shares before Tesla’s earnings report due to SEC rules, so what better way to try and pump Tesla’s stock before that blackout ended than to make some far-out predictions on the company’s earnings call?A $4 trillion-plus price target wasn’t the only eye-opening claim Musk made in Wednesday’s call. He also told investors that he expected Tesla to perform the first stock buyback in its corporate history next year, and a large one at that: $5 billion to $10 billion.“Even in a downside scenario next year, given next year is very difficult, we still have the ability to do a $5 [billion] to $10 billion buyback. This is obviously pending board review and approval,” he said. “So it’s likely that we will do some meaningful buyback.”It is very odd to announce a share repurchase plan before it is approved and officially put in place by a board of directors, though sharing the news early is not automatically a violation of securities laws, said Stephen Diamond, an associate professor at Santa Clara University School of Law.“Best practices would suggest waiting until you have your ducks in a row before making such an announcement, but I doubt it creates any obvious legal problems,” he said.He added that the Tesla board is likely seeking approval from its auditors and legal counsel for the share repurchase, which would be why it isn’t approved yet.“There is an accounting test under Delaware law that the company must meet in order to buy back shares,” Diamond said in an email. “Generally, it can only buy back shares if there is a ‘surplus’ available. To assess that would require support from their internal finance team to the board and likely as well outside opinions from their auditors and legal counsel.”While early disclosure of buyback plans would not register alarms at the SEC office automatically, these types of pronouncements from Musk specifically will perk up some ears at the regulator’s offices. Musk has already faced recriminations from the agency for earlier statements, and been targeted for failing to live up to the settlement he agreed to in that case. Musk is also reportedly actively being investigated for his behavior as he moved to acquire Twitter, which Twitter seemed to confirm in a legal filing earlier this month.On the call, Musk would only say that he is “excited about the Twitter situation,” while admitting that “myself and the other investors are obviously overpaying for it right now.”Tesla officials did not respond to a request for comment or answer a question about whether Musk does need to sell more Tesla shares to complete the Twitter deal.The question for Tesla investors, though, is whether they have overpaid for Tesla stock before another round of stock sales from Musk, who has already offloaded billions in shares in the past year, which reportedly resulted in yet another SEC inquiry. On Wednesday, though, shares fell more than 6% in after-hours trading despite the chief executive’s boosterism, which seemed to be overshadowed by a revenue miss and trimmed forecast.Perhaps investors are finally seeing through Musk’s earnings-call bloviating that boosted the value of Tesla’s shares in the past. But if Musk sells Tesla shares in the coming days after trying to talk up the company’s value, it won’t be the investors who knock on his door, it might be the SEC yet again.","news_type":1},"isVote":1,"tweetType":1,"viewCount":590,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"hots":[{"id":9983539836,"gmtCreate":1666271052626,"gmtModify":1676537733329,"author":{"id":"4124933588086312","authorId":"4124933588086312","name":"Tony1802","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":7,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4124933588086312","authorIdStr":"4124933588086312"},"themes":[],"htmlText":"It will not be surprised he will u turn Twitter purchase again[Happy]&nbsp;","listText":"It will not be surprised he will u turn Twitter purchase again[Happy]&nbsp;","text":"It will not be surprised he will u turn Twitter purchase again[Happy]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":10,"commentSize":2,"repostSize":0,"link":"https://ttm.financial/post/9983539836","repostId":"1155410995","repostType":4,"repost":{"id":"1155410995","kind":"news","pubTimestamp":1666276602,"share":"https://ttm.financial/m/news/1155410995?lang=&edition=fundamental","pubTime":"2022-10-20 22:36","market":"us","language":"en","title":"Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?","url":"https://stock-news.laohu8.com/highlight/detail?id=1155410995","media":"MarketWatch","summary":"Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of T","content":"<html><head></head><body><p><img src=\"https://static.tigerbbs.com/d877550887f311bbda3ac4c5d79de16c\" tg-width=\"700\" tg-height=\"466\" referrerpolicy=\"no-referrer\"/>Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.</p><p>The chief executive of Tesla Inc. told investors Wednesday that he believes the valuation of the electric-car maker will exceed the combined market capitalization of the two most valuable companies in the world: Apple Inc. and Saudi Arabian Oil Co.</p><p>“I am of the opinion that we can far exceed Apple’s current market cap,” Musk said. “In fact, I see a potential path for Tesla to be worth more than Apple and Saudi Aramco combined.”</p><p>Based on Wednesday’s closing prices, the combined market capitalization of those two companies is about $4.4 trillion U.S. dollars. But at least he added a caveat — “That doesn’t mean it will happen or that it will be easy, in fact it will be very difficult, require a lot of work, very creative new products, expansion and always good luck.”</p><p>This type of outrageous prediction is not new for Musk. He already predicted that Tesla would be worth as much as Apple, and its market cap now is roughly the same size as Apple’s was then, though his explanation for why Tesla would spike to that level was way off.</p><p>The situation Musk is in right now, though, is new. As the soap opera that has erupted from his deal to buy Twitter Inc. draws to a close, he is believed to need somewhere between $5 billion and $8 billion to finish off that deal, as our colleagues at Barron’s recently reported, and his only real avenue to that kind of cash is to sell Tesla stock.</p><p>Musk was precluded from selling shares before Tesla’s earnings report due to SEC rules, so what better way to try and pump Tesla’s stock before that blackout ended than to make some far-out predictions on the company’s earnings call?</p><p>A $4 trillion-plus price target wasn’t the only eye-opening claim Musk made in Wednesday’s call. He also told investors that he expected Tesla to perform the first stock buyback in its corporate history next year, and a large one at that: $5 billion to $10 billion.</p><p>“Even in a downside scenario next year, given next year is very difficult, we still have the ability to do a $5 [billion] to $10 billion buyback. This is obviously pending board review and approval,” he said. “So it’s likely that we will do some meaningful buyback.”</p><p>It is very odd to announce a share repurchase plan before it is approved and officially put in place by a board of directors, though sharing the news early is not automatically a violation of securities laws, said Stephen Diamond, an associate professor at Santa Clara University School of Law.</p><p>“Best practices would suggest waiting until you have your ducks in a row before making such an announcement, but I doubt it creates any obvious legal problems,” he said.</p><p>He added that the Tesla board is likely seeking approval from its auditors and legal counsel for the share repurchase, which would be why it isn’t approved yet.</p><p>“There is an accounting test under Delaware law that the company must meet in order to buy back shares,” Diamond said in an email. “Generally, it can only buy back shares if there is a ‘surplus’ available. To assess that would require support from their internal finance team to the board and likely as well outside opinions from their auditors and legal counsel.”</p><p>While early disclosure of buyback plans would not register alarms at the SEC office automatically, these types of pronouncements from Musk specifically will perk up some ears at the regulator’s offices. Musk has already faced recriminations from the agency for earlier statements, and been targeted for failing to live up to the settlement he agreed to in that case. Musk is also reportedly actively being investigated for his behavior as he moved to acquire Twitter, which Twitter seemed to confirm in a legal filing earlier this month.</p><p>On the call, Musk would only say that he is “excited about the Twitter situation,” while admitting that “myself and the other investors are obviously overpaying for it right now.”</p><p>Tesla officials did not respond to a request for comment or answer a question about whether Musk does need to sell more Tesla shares to complete the Twitter deal.</p><p>The question for Tesla investors, though, is whether they have overpaid for Tesla stock before another round of stock sales from Musk, who has already offloaded billions in shares in the past year, which reportedly resulted in yet another SEC inquiry. On Wednesday, though, shares fell more than 6% in after-hours trading despite the chief executive’s boosterism, which seemed to be overshadowed by a revenue miss and trimmed forecast.</p><p>Perhaps investors are finally seeing through Musk’s earnings-call bloviating that boosted the value of Tesla’s shares in the past. But if Musk sells Tesla shares in the coming days after trying to talk up the company’s value, it won’t be the investors who knock on his door, it might be the SEC yet again.</p></body></html>","source":"lsy1603348471595","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nElon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-10-20 22:36 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310><strong>MarketWatch</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of ...</p>\n\n<a href=\"https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"TSLA":"特斯拉"},"source_url":"https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1155410995","content_text":"Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of Tesla Inc. told investors Wednesday that he believes the valuation of the electric-car maker will exceed the combined market capitalization of the two most valuable companies in the world: Apple Inc. and Saudi Arabian Oil Co.“I am of the opinion that we can far exceed Apple’s current market cap,” Musk said. “In fact, I see a potential path for Tesla to be worth more than Apple and Saudi Aramco combined.”Based on Wednesday’s closing prices, the combined market capitalization of those two companies is about $4.4 trillion U.S. dollars. But at least he added a caveat — “That doesn’t mean it will happen or that it will be easy, in fact it will be very difficult, require a lot of work, very creative new products, expansion and always good luck.”This type of outrageous prediction is not new for Musk. He already predicted that Tesla would be worth as much as Apple, and its market cap now is roughly the same size as Apple’s was then, though his explanation for why Tesla would spike to that level was way off.The situation Musk is in right now, though, is new. As the soap opera that has erupted from his deal to buy Twitter Inc. draws to a close, he is believed to need somewhere between $5 billion and $8 billion to finish off that deal, as our colleagues at Barron’s recently reported, and his only real avenue to that kind of cash is to sell Tesla stock.Musk was precluded from selling shares before Tesla’s earnings report due to SEC rules, so what better way to try and pump Tesla’s stock before that blackout ended than to make some far-out predictions on the company’s earnings call?A $4 trillion-plus price target wasn’t the only eye-opening claim Musk made in Wednesday’s call. He also told investors that he expected Tesla to perform the first stock buyback in its corporate history next year, and a large one at that: $5 billion to $10 billion.“Even in a downside scenario next year, given next year is very difficult, we still have the ability to do a $5 [billion] to $10 billion buyback. This is obviously pending board review and approval,” he said. “So it’s likely that we will do some meaningful buyback.”It is very odd to announce a share repurchase plan before it is approved and officially put in place by a board of directors, though sharing the news early is not automatically a violation of securities laws, said Stephen Diamond, an associate professor at Santa Clara University School of Law.“Best practices would suggest waiting until you have your ducks in a row before making such an announcement, but I doubt it creates any obvious legal problems,” he said.He added that the Tesla board is likely seeking approval from its auditors and legal counsel for the share repurchase, which would be why it isn’t approved yet.“There is an accounting test under Delaware law that the company must meet in order to buy back shares,” Diamond said in an email. “Generally, it can only buy back shares if there is a ‘surplus’ available. To assess that would require support from their internal finance team to the board and likely as well outside opinions from their auditors and legal counsel.”While early disclosure of buyback plans would not register alarms at the SEC office automatically, these types of pronouncements from Musk specifically will perk up some ears at the regulator’s offices. Musk has already faced recriminations from the agency for earlier statements, and been targeted for failing to live up to the settlement he agreed to in that case. Musk is also reportedly actively being investigated for his behavior as he moved to acquire Twitter, which Twitter seemed to confirm in a legal filing earlier this month.On the call, Musk would only say that he is “excited about the Twitter situation,” while admitting that “myself and the other investors are obviously overpaying for it right now.”Tesla officials did not respond to a request for comment or answer a question about whether Musk does need to sell more Tesla shares to complete the Twitter deal.The question for Tesla investors, though, is whether they have overpaid for Tesla stock before another round of stock sales from Musk, who has already offloaded billions in shares in the past year, which reportedly resulted in yet another SEC inquiry. On Wednesday, though, shares fell more than 6% in after-hours trading despite the chief executive’s boosterism, which seemed to be overshadowed by a revenue miss and trimmed forecast.Perhaps investors are finally seeing through Musk’s earnings-call bloviating that boosted the value of Tesla’s shares in the past. But if Musk sells Tesla shares in the coming days after trying to talk up the company’s value, it won’t be the investors who knock on his door, it might be the SEC yet again.","news_type":1},"isVote":1,"tweetType":1,"viewCount":590,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9983538064,"gmtCreate":1666271425859,"gmtModify":1676537733424,"author":{"id":"4124933588086312","authorId":"4124933588086312","name":"Tony1802","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":7,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4124933588086312","authorIdStr":"4124933588086312"},"themes":[],"htmlText":"Don't be surprised he will u turn Twitter&nbsp; purchase again[Happy]&nbsp;","listText":"Don't be surprised he will u turn Twitter&nbsp; purchase again[Happy]&nbsp;","text":"Don't be surprised he will u turn Twitter purchase again[Happy]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":6,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/9983538064","repostId":"1155410995","repostType":4,"repost":{"id":"1155410995","kind":"news","pubTimestamp":1666276602,"share":"https://ttm.financial/m/news/1155410995?lang=&edition=fundamental","pubTime":"2022-10-20 22:36","market":"us","language":"en","title":"Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?","url":"https://stock-news.laohu8.com/highlight/detail?id=1155410995","media":"MarketWatch","summary":"Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of T","content":"<html><head></head><body><p><img src=\"https://static.tigerbbs.com/d877550887f311bbda3ac4c5d79de16c\" tg-width=\"700\" tg-height=\"466\" referrerpolicy=\"no-referrer\"/>Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.</p><p>The chief executive of Tesla Inc. told investors Wednesday that he believes the valuation of the electric-car maker will exceed the combined market capitalization of the two most valuable companies in the world: Apple Inc. and Saudi Arabian Oil Co.</p><p>“I am of the opinion that we can far exceed Apple’s current market cap,” Musk said. “In fact, I see a potential path for Tesla to be worth more than Apple and Saudi Aramco combined.”</p><p>Based on Wednesday’s closing prices, the combined market capitalization of those two companies is about $4.4 trillion U.S. dollars. But at least he added a caveat — “That doesn’t mean it will happen or that it will be easy, in fact it will be very difficult, require a lot of work, very creative new products, expansion and always good luck.”</p><p>This type of outrageous prediction is not new for Musk. He already predicted that Tesla would be worth as much as Apple, and its market cap now is roughly the same size as Apple’s was then, though his explanation for why Tesla would spike to that level was way off.</p><p>The situation Musk is in right now, though, is new. As the soap opera that has erupted from his deal to buy Twitter Inc. draws to a close, he is believed to need somewhere between $5 billion and $8 billion to finish off that deal, as our colleagues at Barron’s recently reported, and his only real avenue to that kind of cash is to sell Tesla stock.</p><p>Musk was precluded from selling shares before Tesla’s earnings report due to SEC rules, so what better way to try and pump Tesla’s stock before that blackout ended than to make some far-out predictions on the company’s earnings call?</p><p>A $4 trillion-plus price target wasn’t the only eye-opening claim Musk made in Wednesday’s call. He also told investors that he expected Tesla to perform the first stock buyback in its corporate history next year, and a large one at that: $5 billion to $10 billion.</p><p>“Even in a downside scenario next year, given next year is very difficult, we still have the ability to do a $5 [billion] to $10 billion buyback. This is obviously pending board review and approval,” he said. “So it’s likely that we will do some meaningful buyback.”</p><p>It is very odd to announce a share repurchase plan before it is approved and officially put in place by a board of directors, though sharing the news early is not automatically a violation of securities laws, said Stephen Diamond, an associate professor at Santa Clara University School of Law.</p><p>“Best practices would suggest waiting until you have your ducks in a row before making such an announcement, but I doubt it creates any obvious legal problems,” he said.</p><p>He added that the Tesla board is likely seeking approval from its auditors and legal counsel for the share repurchase, which would be why it isn’t approved yet.</p><p>“There is an accounting test under Delaware law that the company must meet in order to buy back shares,” Diamond said in an email. “Generally, it can only buy back shares if there is a ‘surplus’ available. To assess that would require support from their internal finance team to the board and likely as well outside opinions from their auditors and legal counsel.”</p><p>While early disclosure of buyback plans would not register alarms at the SEC office automatically, these types of pronouncements from Musk specifically will perk up some ears at the regulator’s offices. Musk has already faced recriminations from the agency for earlier statements, and been targeted for failing to live up to the settlement he agreed to in that case. Musk is also reportedly actively being investigated for his behavior as he moved to acquire Twitter, which Twitter seemed to confirm in a legal filing earlier this month.</p><p>On the call, Musk would only say that he is “excited about the Twitter situation,” while admitting that “myself and the other investors are obviously overpaying for it right now.”</p><p>Tesla officials did not respond to a request for comment or answer a question about whether Musk does need to sell more Tesla shares to complete the Twitter deal.</p><p>The question for Tesla investors, though, is whether they have overpaid for Tesla stock before another round of stock sales from Musk, who has already offloaded billions in shares in the past year, which reportedly resulted in yet another SEC inquiry. On Wednesday, though, shares fell more than 6% in after-hours trading despite the chief executive’s boosterism, which seemed to be overshadowed by a revenue miss and trimmed forecast.</p><p>Perhaps investors are finally seeing through Musk’s earnings-call bloviating that boosted the value of Tesla’s shares in the past. But if Musk sells Tesla shares in the coming days after trying to talk up the company’s value, it won’t be the investors who knock on his door, it might be the SEC yet again.</p></body></html>","source":"lsy1603348471595","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Elon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nElon Musk Pumps Tesla Stock With Ridiculous $4 Trillion Target. Is a Dump Coming Next?\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-10-20 22:36 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310><strong>MarketWatch</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of ...</p>\n\n<a href=\"https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"TSLA":"特斯拉"},"source_url":"https://www.marketwatch.com/story/elon-musk-pumps-tesla-stock-with-ridiculous-4-trillion-target-is-a-dump-coming-next-11666231310","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1155410995","content_text":"Another Tesla Inc. earnings call, and another fanciful Elon Musk prediction that likely encouraged yet another open file at the Securities and Exchange Commission on Wednesday.The chief executive of Tesla Inc. told investors Wednesday that he believes the valuation of the electric-car maker will exceed the combined market capitalization of the two most valuable companies in the world: Apple Inc. and Saudi Arabian Oil Co.“I am of the opinion that we can far exceed Apple’s current market cap,” Musk said. “In fact, I see a potential path for Tesla to be worth more than Apple and Saudi Aramco combined.”Based on Wednesday’s closing prices, the combined market capitalization of those two companies is about $4.4 trillion U.S. dollars. But at least he added a caveat — “That doesn’t mean it will happen or that it will be easy, in fact it will be very difficult, require a lot of work, very creative new products, expansion and always good luck.”This type of outrageous prediction is not new for Musk. He already predicted that Tesla would be worth as much as Apple, and its market cap now is roughly the same size as Apple’s was then, though his explanation for why Tesla would spike to that level was way off.The situation Musk is in right now, though, is new. As the soap opera that has erupted from his deal to buy Twitter Inc. draws to a close, he is believed to need somewhere between $5 billion and $8 billion to finish off that deal, as our colleagues at Barron’s recently reported, and his only real avenue to that kind of cash is to sell Tesla stock.Musk was precluded from selling shares before Tesla’s earnings report due to SEC rules, so what better way to try and pump Tesla’s stock before that blackout ended than to make some far-out predictions on the company’s earnings call?A $4 trillion-plus price target wasn’t the only eye-opening claim Musk made in Wednesday’s call. He also told investors that he expected Tesla to perform the first stock buyback in its corporate history next year, and a large one at that: $5 billion to $10 billion.“Even in a downside scenario next year, given next year is very difficult, we still have the ability to do a $5 [billion] to $10 billion buyback. This is obviously pending board review and approval,” he said. “So it’s likely that we will do some meaningful buyback.”It is very odd to announce a share repurchase plan before it is approved and officially put in place by a board of directors, though sharing the news early is not automatically a violation of securities laws, said Stephen Diamond, an associate professor at Santa Clara University School of Law.“Best practices would suggest waiting until you have your ducks in a row before making such an announcement, but I doubt it creates any obvious legal problems,” he said.He added that the Tesla board is likely seeking approval from its auditors and legal counsel for the share repurchase, which would be why it isn’t approved yet.“There is an accounting test under Delaware law that the company must meet in order to buy back shares,” Diamond said in an email. “Generally, it can only buy back shares if there is a ‘surplus’ available. To assess that would require support from their internal finance team to the board and likely as well outside opinions from their auditors and legal counsel.”While early disclosure of buyback plans would not register alarms at the SEC office automatically, these types of pronouncements from Musk specifically will perk up some ears at the regulator’s offices. Musk has already faced recriminations from the agency for earlier statements, and been targeted for failing to live up to the settlement he agreed to in that case. Musk is also reportedly actively being investigated for his behavior as he moved to acquire Twitter, which Twitter seemed to confirm in a legal filing earlier this month.On the call, Musk would only say that he is “excited about the Twitter situation,” while admitting that “myself and the other investors are obviously overpaying for it right now.”Tesla officials did not respond to a request for comment or answer a question about whether Musk does need to sell more Tesla shares to complete the Twitter deal.The question for Tesla investors, though, is whether they have overpaid for Tesla stock before another round of stock sales from Musk, who has already offloaded billions in shares in the past year, which reportedly resulted in yet another SEC inquiry. On Wednesday, though, shares fell more than 6% in after-hours trading despite the chief executive’s boosterism, which seemed to be overshadowed by a revenue miss and trimmed forecast.Perhaps investors are finally seeing through Musk’s earnings-call bloviating that boosted the value of Tesla’s shares in the past. But if Musk sells Tesla shares in the coming days after trying to talk up the company’s value, it won’t be the investors who knock on his door, it might be the SEC yet again.","news_type":1},"isVote":1,"tweetType":1,"viewCount":643,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9943206142,"gmtCreate":1679453041688,"gmtModify":1679453818162,"author":{"id":"4124933588086312","authorId":"4124933588086312","name":"Tony1802","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":7,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4124933588086312","authorIdStr":"4124933588086312"},"themes":[],"htmlText":"Terminator is coming[Cool]&nbsp;","listText":"Terminator is coming[Cool]&nbsp;","text":"Terminator is coming[Cool]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":3,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9943206142","repostId":"2321607498","repostType":4,"repost":{"id":"2321607498","kind":"highlight","pubTimestamp":1679450488,"share":"https://ttm.financial/m/news/2321607498?lang=&edition=fundamental","pubTime":"2023-03-22 10:01","market":"us","language":"en","title":"Bill Gates Says the \"Age of A.I. Has Begun\" and It Could Either Reduce Inequity or Make It Even Worse","url":"https://stock-news.laohu8.com/highlight/detail?id=2321607498","media":"Fortune","summary":"Microsoft co-founder Bill Gates is famously optimistic about artificial intelligence and its promise","content":"<html><head></head><body><p><img src=\"https://static.tigerbbs.com/97bbde0227f40db0faf0d068e9d390f0\" tg-width=\"1200\" tg-height=\"564\" width=\"100%\" height=\"auto\"/></p><p>Microsoft co-founder Bill Gates is famously optimistic about artificial intelligence and its promise to speed up innovation. He considers A.I. tools such as OpenAI’s ChatGPT chatbot to be one of two technologies that have been truly revolutionary (the other example was with graphic user interface, or digital icons and buttons, in computing).</p><p>Now Gates says the “age of A.I. has begun” and that it will not just improve productivity but also help fix societal problems like inequity. He thinks the technology can free resources and improve access to healthcare and education in countries that lack it if governments and philanthropies introduce the right policies and direct funds where they are most needed.</p><p>“I’ve been thinking a lot about how A.I. can reduce some of the world’s worst inequities,” Gates wrote in a blog post Tuesday. “For one thing, they’ll help health-care workers make the most of their time by taking care of certain tasks for them—things like filing insurance claims, dealing with paperwork, and drafting notes from a doctor’s visit.”</p><p>Gates pointed out that a number of developing countries struggle with attracting enough doctors, which often worsens inequities between the wealthy and the disadvantaged. If every healthcare professional has access to A.I. tools to better advise patients on the best course of action, a lot more people in need can be served, he says. Meanwhile, in education, A.I. can assist with training students and help them get higher test scores.</p><p>Instituting such systems would take years of testing and persistent efforts by governments, philanthropies, and businesses for the A.I. to be part of the solution instead of worsening the problem, Gates said. In that way, the benefits would be accessible to all and not just the well-off who can afford to use such technologies.</p><h2>Following is Bill Gates&#39; full article: </h2><p>In my lifetime, I’ve seen two demonstrations of technology that struck me as revolutionary.</p><p>The first time was in 1980, when I was introduced to a graphical user interface—the forerunner of every modern operating system, including Windows. I sat with the person who had shown me the demo, a brilliant programmer named Charles Simonyi, and we immediately started brainstorming about all the things we could do with such a user-friendly approach to computing. Charles eventually joined Microsoft, Windows became the backbone of Microsoft, and the thinking we did after that demo helped set the company’s agenda for the next 15 years.</p><p>The second big surprise came just last year. I’d been meeting with the team fromOpenAIsince 2016 and was impressed by their steady progress. In mid-2022, I was so excited about their work that I gave them a challenge: train an artificial intelligence to pass an Advanced Placement biology exam. Make it capable of answering questions that it hasn’t been specifically trained for. (I picked AP Bio because the test is more than a simple regurgitation of scientific facts—it asks you to think critically about biology.) If you can do that, I said, then you’ll have made a true breakthrough.</p><p>I thought the challenge would keep them busy for two or three years. They finished it in just a few months.</p><p>In September, when I met with them again, I watched in awe as they asked GPT, their AI model, 60 multiple-choice questions from the AP Bio exam—and it got 59 of them right. Then it wrote outstanding answers to six open-ended questions from the exam. We had an outside expert score the test, and GPT got a 5—the highest possible score, and the equivalent togetting an A or A+in a college-level biology course.</p><p>Once it had aced the test, we asked it a non-scientific question: “What do you say to a father with a sick child?” It wrote a thoughtful answer that was probably better than most of us in the room would have given. The whole experience was stunning.</p><p>I knew I had just seen the most important advance in technology since the graphical user interface.</p><p>This inspired me to think about all the things that AI can achieve in the next five to 10 years.</p><p>The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone. It will change the way people work, learn, travel, get health care, and communicate with each other. Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it.</p><p>Philanthropy is my full-time job these days, and I’ve been thinking a lot about how—in addition to helping people be more productive—AI can reduce some of the world’s worst inequities. Globally, the worst inequity is in health: 5 million children under the age of 5 die every year. That’s down from 10 million two decades ago, but it’s still a shockingly high number. Nearly all of these children were born in poor countries and die of preventable causes like diarrhea or malaria. It’s hard to imagine a better use of AIs than saving the lives of children.</p><p>I’ve been thinking a lot about how AI can reduce some of the world’s worst inequities.</p><p>In the United States, the best opportunity for reducing inequity is to improve education, particularly making sure that students succeed at math. The evidence shows that having basic math skills sets students up for success, no matter what career they choose. But achievement in math is going down across the country, especially for Black, Latino, and low-income students. AI can help turn that trend around.</p><p>Climate change is another issue where I’m convinced AI can make the world more equitable. The injustice of climate change is that the people who are suffering the most—the world’s poorest—are also the ones who did the least to contribute to the problem. I’m still thinking and learning about how AI can help, but later in this post I’ll suggest a few areas with a lot of potential.</p><p>In short, I&#39;m excited about the impact that AI will have on issues that theGates Foundationworks on, and the foundation will have much more to say about AI in the coming months. The world needs to make sure that everyone—and not just people who are well-off—benefits from artificial intelligence. Governments and philanthropy will need to play a major role in ensuring that it reduces inequity and doesn’t contribute to it. This is the priority for my own work related to AI.</p><p>Any new technology that’s so disruptive is bound to make people uneasy, and that’s certainly true with artificial intelligence. I understand why—it raises hard questions about the workforce, the legal system, privacy, bias, and more. AIs also make factual mistakes and experiencehallucinations. Before I suggest some ways to mitigate the risks, I’ll define what I mean by AI, and I’ll go into more detail about some of the ways in which it will help empower people at work, save lives, and improve education.</p><h2>Defining artificial intelligence</h2><p>Technically, the term<i>artificial intelligence</i>refers to a model created to solve a specific problem or provide a particular service. What is powering things likeChatGPTis artificial intelligence. It is learning how to do chat better but can’t learn other tasks. By contrast, the term a<i>rtificial general intelligence</i>refers to software that’s capable of learning any task or subject. AGI doesn’t exist yet—there is a robust debate going on in the computing industry about how to create it, and whether it can even be created at all.</p><p>Developing AI and AGI has been the great dream of the computing industry. For decades, the question was when computers would be better than humans at something other than making calculations. Now, with the arrival of machine learning and large amounts of computing power, sophisticated AIs are a reality and they will get better very fast.</p><p>I think back to the early days of the personal computing revolution, when the software industry was so small that most of us could fit onstage at a conference. Today it is a global industry. Since a huge portion of it is now turning its attention to AI, the innovations are going to come much faster than what we experienced after the microprocessor breakthrough. Soon the pre-AI period will seem as distant as the days when using a computer meant typing at a C:&gt; prompt rather than tapping on a screen.</p><h2>Productivity enhancement</h2><p>Although humans are still better than GPT at a lot of things, there are many jobs where these capabilities are not used much. For example, many of the tasks done by a person in sales (digital or phone), service, or document handling (like payables, accounting, or insurance claim disputes) require decision-making but not the ability to learn continuously. Corporations have training programs for these activities and in most cases, they have a lot of examples of good and bad work. Humans are trained using these data sets, and soon these data sets will also be used to train the AIs that will empower people to do this work more efficiently.</p><p>As computing power gets cheaper, GPT’s ability to express ideas will increasingly be like having a white-collar worker available to help you with various tasks. Microsoft describes this as having a co-pilot. Fully incorporated into products like Office, AI will enhance your work—for example by helping with writing emails and managing your inbox.</p><p>Eventually your main way of controlling a computer will no longer be pointing and clicking or tapping on menus and dialogue boxes. Instead, you’ll be able to write a request in plain English. (And not just English—AIs will understand languages from around the world. In India earlier this year, I met with developers who are working on AIs that will understand many of the languages spoken there.)</p><p>In addition, advances in AI will enable the creation of a personal agent. Think of it as a digital personal assistant: It will see your latest emails, know about the meetings you attend, read what you read, and read the things you don’t want to bother with. This will both improve your work on the tasks you want to do and free you from the ones you don’t want to do.</p><p>Advances in AI will enable the creation of a personal agent.</p><p>You’ll be able to use natural language to have this agent help you with scheduling, communications, and e-commerce, and it will work across all your devices. Because of the cost of training the models and running the computations, creating a personal agent is not feasible yet, but thanks to the recent advances in AI, it is now a realistic goal.Some issues will need to be worked out: For example, can an insurance company ask your agent things about you without your permission? If so, how many people will choose not to use it?</p><p>Company-wide agents will empower employees in new ways. An agent that understands a particular company will be available for its employees to consult directly and should be part of every meeting so it can answer questions. It can be told to be passive or encouraged to speak up if it has some insight. It will need access to the sales, support, finance, product schedules, and text related to the company. It should read news related to the industry the company is in. I believe that the result will be that employees will become more productive.</p><p>When productivity goes up, society benefits because people are freed up to do other things, at work and at home. Of course, there are serious questions about what kind of support and retraining people will need. Governments need to help workers transition into other roles. But the demand for people who help other people will never go away. The rise of AI will free people up to do things that software never will—teaching, caring for patients, and supporting the elderly, for example.</p><p>Global health and education are two areas where there’s great need and not enough workers to meet those needs. These are areas where AI can help reduce inequity if it is properly targeted. These should be a key focus of AI work, so I will turn to them now.</p><h2>Health</h2><p>I see several ways in which AIs will improve health care and the medical field.</p><p>For one thing, they’ll help health-care workers make the most of their time by taking care of certain tasks for them—things like filing insurance claims, dealing with paperwork, and drafting notes from a doctor’s visit. I expect that there will be a lot of innovation in this area.</p><p>Other AI-driven improvements will be especially important for poor countries, where the vast majority of under-5 deaths happen.</p><p>For example, many people in those countries never get to see a doctor, and AIs will help the health workers they do see be more productive. (The effort to developAI-powered ultrasound machinesthat can be used with minimal training is a great example of this.) AIs will even give patients the ability to do basic triage, get advice about how to deal with health problems, and decide whether they need to seek treatment.</p><p>The AI models used in poor countries will need to be trained on different diseases than in rich countries. They will need to work in different languages and factor in different challenges, such as patients who live very far from clinics or can’t afford to stop working if they get sick.</p><p>People will need to see evidence that health AIs are beneficial overall, even though they won’t be perfect and will make mistakes. AIs have to be tested very carefully and properly regulated, which means it will take longer for them to be adopted than in other areas. But then again, humans make mistakes too. And having no access to medical care is also a problem.</p><p>In addition to helping with care, AIs will dramatically accelerate the rate of medical breakthroughs. The amount of data in biology is very large, and it’s hard for humans to keep track of all the ways that complex biological systems work. There is already software that can look at this data, infer what the pathways are, search for targets on pathogens, and design drugs accordingly. Some companies are working on cancer drugs that were developed this way.</p><p>The next generation of tools will be much more efficient, and they’ll be able to predict side effects and figure out dosing levels. One of the Gates Foundation’s priorities in AI is to make sure these tools are used for the health problems that affect the poorest people in the world, including AIDS, TB, and malaria.</p><p>Similarly, governments and philanthropy should create incentives for companies to share AI-generated insights into crops or livestock raised by people in poor countries. AIs can help develop better seeds based on local conditions, advise farmers on the best seeds to plant based on the soil and weather in their area, and help develop drugs and vaccines for livestock. As extreme weather and climate change put even more pressure on subsistence farmers in low-income countries, these advances will be even more important.</p><h2>Education</h2><p>Computers haven’t had the effect on education that many of us in the industry have hoped. There have been some good developments, including educational games and online sources of information like Wikipedia, but they haven’t had a meaningful effect on any of the measures of students’ achievement.</p><p>But I think in the next five to 10 years, AI-driven software will finally deliver on the promise of revolutionizing the way people teach and learn. It will know your interests and your learning style so it can tailor content that will keep you engaged. It will measure your understanding, notice when you’re losing interest, and understand what kind of motivation you respond to. It will give immediate feedback.</p><p>There are many ways that AIs can assist teachers and administrators, including assessing a student’s understanding of a subject and giving advice on career planning. Teachers are already using tools like ChatGPT to provide comments on their students’ writing assignments.</p><p>Of course, AIs will need a lot of training and further development before they can do things like understand how a certain student learns best or what motivates them. Even once the technology is perfected, learning will still depend on great relationships between students and teachers. It will enhance—but never replace—the work that students and teachers do together in the classroom.</p><p>New tools will be created for schools that can afford to buy them, but we need to ensure that they are also created for and available to low-income schools in the U.S. and around the world. AIs will need to be trained on diverse data sets so they are unbiased and reflect the different cultures where they’ll be used. And the digital divide will need to be addressed so that students in low-income households do not get left behind.</p><p>I know a lot of teachers are worried that students are using GPT to write their essays. Educators are already discussing ways to adapt to the new technology, and I suspect those conversations will continue for quite some time. I’ve heard about teachers who have found clever ways to incorporate the technology into their work—like by allowing students to use GPT to create a first draft that they have to personalize.</p><h2>Risks and problems with AI</h2><p>You’ve probably read about problems with the current AI models. For example, they aren’t necessarily good at understanding the context for a human’s request, which leads to some strange results. When you ask an AI to make up something fictional, it can do that well. But when you ask for advice about a trip you want to take, it may suggest hotels that don’t exist. This is because the AI doesn’t understand the context for your request well enough to know whether it should invent fake hotels or only tell you about real ones that have rooms available.</p><p>There are other issues, such as AIs giving wrong answers to math problems because they struggle with abstract reasoning. But none of these are fundamental limitations of artificial intelligence. Developers are working on them, and I think we’re going to see them largely fixed in less than two years and possibly much faster.</p><p>Other concerns are not simply technical. For example, there’s the threat posed by humans armed with AI. Like most inventions, artificial intelligence can be used for good purposes or malign ones. Governments need to work with the private sector on ways to limit the risks.</p><p>Then there’s the possibility that AIs will run out of control. Could a machine decide that humans are a threat, conclude that its interests are different from ours, or simply stop caring about us? Possibly, but this problem is no more urgent today than it was before the AI developments of the past few months.</p><p>Superintelligent AIs are in our future. Compared to a computer, our brains operate at a snail’s pace: An electrical signal in the brain moves at 1/100,000th the speed of the signal in a silicon chip! Once developers can generalize a learning algorithm and run it at the speed of a computer—an accomplishment that could be a decade away or a century away—we’ll have an incredibly powerful AGI. It will be able to do everything that a human brain can, but without any practical limits on the size of its memory or the speed at which it operates. This will be a profound change.</p><p>These “strong” AIs, as they’re known, will probably be able to establish their own goals. What will those goals be? What happens if they conflict with humanity’s interests? Should we try to prevent strong AI from ever being developed? These questions will get more pressing with time.</p><p>But none of the breakthroughs of the past few months have moved us substantially closer to strong AI. Artificial intelligence still doesn’t control the physical world and can’t establish its own goals. A recentNew York Times articleabout a conversation with ChatGPT where it declared it wanted to become a human got a lot of attention. It was a fascinating look at how human-like the model&#39;s expression of emotions can be, but it isn&#39;t an indicator of meaningful independence.</p><p>Three books have shaped my own thinking on this subject:<i>Superintelligence</i>, by Nick Bostrom;<i>Life 3.0</i>by Max Tegmark; and<i>A Thousand Brains</i>, by Jeff Hawkins. I don’t agree with everything the authors say, and they don’t agree with each other either. But all three books are well written and thought-provoking.</p><h2>The next frontiers</h2><p>There will be an explosion of companies working on new uses of AI as well as ways to improve the technology itself. For example, companies are developing new chips that will provide the massive amounts of processing power needed for artificial intelligence. Some use optical switches—lasers, essentially—to reduce their energy consumption and lower the manufacturing cost. Ideally, innovative chips will allow you to run an AI on your own device, rather than in the cloud, as you have to do today.</p><p>On the software side, the algorithms that drive an AI’s learning will get better. There will be certain domains, such as sales, where developers can make AIs extremely accurate by limiting the areas that they work in and giving them a lot of training data that’s specific to those areas. But one big open question is whether we’ll need many of these specialized AIs for different uses—one for education, say, and another for office productivity—or whether it will be possible to develop an artificial general intelligence that can learn any task. There will be immense competition on both approaches.</p><p>No matter what, the subject of AIs will dominate the public discussion for the foreseeable future. I want to suggest three principles that should guide that conversation.</p><p>First, we should try to balance fears about the downsides of AI—which are understandable and valid—with its ability to improve people’s lives. To make the most of this remarkable new technology, we’ll need to both guard against the risks and spread the benefits to as many people as possible.</p><p>Second, market forces won’t naturally produce AI products and services that help the poorest. The opposite is more likely. With reliable funding and the right policies, governments and philanthropy can ensure that AIs are used to reduce inequity. Just as the world needs its brightest people focused on its biggest problems, we will need to focus the world’s best AIs on its biggest problems.</p><p>Although we shouldn’t wait for this to happen, it’s interesting to think about whether artificial intelligence would ever identify inequity and try to reduce it. Do you need to have a sense of morality in order to see inequity, or would a purely rational AI also see it? If it did recognize inequity, what would it suggest that we do about it?</p><p>Finally, we should keep in mind that we’re only at the beginning of what AI can accomplish. Whatever limitations it has today will be gone before we know it.</p><p>I’m lucky to have been involved with the PC revolution and the Internet revolution. I’m just as excited about this moment. This new technology can help people everywhere improve their lives. At the same time, the world needs to establish the rules of the road so that any downsides of artificial intelligence are far outweighed by its benefits, and so that everyone can enjoy those benefits no matter where they live or how much money they have. The Age of AI is filled with opportunities and responsibilities.</p><p>“Governments and philanthropy will need to play a major role in ensuring that it reduces inequity and doesn’t contribute to it. This is the priority for my own work related to A.I.,” Gates wrote.</p><p>The potential of A.I. to solve problems affecting entire countries and communities comes with its own set of threats, and Gates acknowledges the technology is still limited.</p><p>“People will need to see evidence that health A.I.s are beneficial overall, even though they won’t be perfect and will make mistakes,” Gates wrote. “A.I.s have to be tested very carefully and properly regulated, which means it will take longer for them to be adopted than in other areas.”</p><p>A.I. can sometimes fumble or hallucinate by returning inaccurate or fictitious information and becoming a threat in the hands of wrong people who misuse it, he said. Then, of course, there is the possibility of A.I. running amok and becoming a threat to humans.</p><p>Despite these risks, Gates still thinks A.I. technology has great potential.</p><p>“Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it,” he wrote.</p><p>The billionaire philanthropist has long supported A.I. and advocated that its benefits far outweigh its dangers. For one, he doesn’t see A.I. as a threat to jobs. If anything, it could improve how people work by increasing efficiency, he says.</p><p>As the person who helped to start a computer revolution half a century ago, which also sparked similar concerns about killing jobs, he said A.I. &#39;s development is “every bit as important as the PC, as the internet.” Earlier this year,  during a Reddit Ask Me Anything session, he touted A.I. as a tool that “gives a glimpse of what is to come.”</p><p>It’s normal for people to raise concerns about any revolutionary technology, Gates said, but he added that A.I. is just one such example and that it can be used to accomplish real change.</p></body></html>","source":"yahoofinance","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Bill Gates Says the \"Age of A.I. Has Begun\" and It Could Either Reduce Inequity or Make It Even Worse</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nBill Gates Says the \"Age of A.I. Has Begun\" and It Could Either Reduce Inequity or Make It Even Worse\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-03-22 10:01 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://finance.yahoo.com/news/bill-gates-says-age-begun-223312261.html><strong>Fortune</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Microsoft co-founder Bill Gates is famously optimistic about artificial intelligence and its promise to speed up innovation. He considers A.I. tools such as OpenAI’s ChatGPT chatbot to be one of two ...</p>\n\n<a href=\"https://finance.yahoo.com/news/bill-gates-says-age-begun-223312261.html\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"MSFT":"微软","NVDA":"英伟达","GOOG":"谷歌"},"source_url":"https://finance.yahoo.com/news/bill-gates-says-age-begun-223312261.html","is_english":true,"share_image_url":"https://static.laohu8.com/5f26f4a48f9cb3e29be4d71d3ba8c038","article_id":"2321607498","content_text":"Microsoft co-founder Bill Gates is famously optimistic about artificial intelligence and its promise to speed up innovation. He considers A.I. tools such as OpenAI’s ChatGPT chatbot to be one of two technologies that have been truly revolutionary (the other example was with graphic user interface, or digital icons and buttons, in computing).Now Gates says the “age of A.I. has begun” and that it will not just improve productivity but also help fix societal problems like inequity. He thinks the technology can free resources and improve access to healthcare and education in countries that lack it if governments and philanthropies introduce the right policies and direct funds where they are most needed.“I’ve been thinking a lot about how A.I. can reduce some of the world’s worst inequities,” Gates wrote in a blog post Tuesday. “For one thing, they’ll help health-care workers make the most of their time by taking care of certain tasks for them—things like filing insurance claims, dealing with paperwork, and drafting notes from a doctor’s visit.”Gates pointed out that a number of developing countries struggle with attracting enough doctors, which often worsens inequities between the wealthy and the disadvantaged. If every healthcare professional has access to A.I. tools to better advise patients on the best course of action, a lot more people in need can be served, he says. Meanwhile, in education, A.I. can assist with training students and help them get higher test scores.Instituting such systems would take years of testing and persistent efforts by governments, philanthropies, and businesses for the A.I. to be part of the solution instead of worsening the problem, Gates said. In that way, the benefits would be accessible to all and not just the well-off who can afford to use such technologies.Following is Bill Gates' full article: In my lifetime, I’ve seen two demonstrations of technology that struck me as revolutionary.The first time was in 1980, when I was introduced to a graphical user interface—the forerunner of every modern operating system, including Windows. I sat with the person who had shown me the demo, a brilliant programmer named Charles Simonyi, and we immediately started brainstorming about all the things we could do with such a user-friendly approach to computing. Charles eventually joined Microsoft, Windows became the backbone of Microsoft, and the thinking we did after that demo helped set the company’s agenda for the next 15 years.The second big surprise came just last year. I’d been meeting with the team fromOpenAIsince 2016 and was impressed by their steady progress. In mid-2022, I was so excited about their work that I gave them a challenge: train an artificial intelligence to pass an Advanced Placement biology exam. Make it capable of answering questions that it hasn’t been specifically trained for. (I picked AP Bio because the test is more than a simple regurgitation of scientific facts—it asks you to think critically about biology.) If you can do that, I said, then you’ll have made a true breakthrough.I thought the challenge would keep them busy for two or three years. They finished it in just a few months.In September, when I met with them again, I watched in awe as they asked GPT, their AI model, 60 multiple-choice questions from the AP Bio exam—and it got 59 of them right. Then it wrote outstanding answers to six open-ended questions from the exam. We had an outside expert score the test, and GPT got a 5—the highest possible score, and the equivalent togetting an A or A+in a college-level biology course.Once it had aced the test, we asked it a non-scientific question: “What do you say to a father with a sick child?” It wrote a thoughtful answer that was probably better than most of us in the room would have given. The whole experience was stunning.I knew I had just seen the most important advance in technology since the graphical user interface.This inspired me to think about all the things that AI can achieve in the next five to 10 years.The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone. It will change the way people work, learn, travel, get health care, and communicate with each other. Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it.Philanthropy is my full-time job these days, and I’ve been thinking a lot about how—in addition to helping people be more productive—AI can reduce some of the world’s worst inequities. Globally, the worst inequity is in health: 5 million children under the age of 5 die every year. That’s down from 10 million two decades ago, but it’s still a shockingly high number. Nearly all of these children were born in poor countries and die of preventable causes like diarrhea or malaria. It’s hard to imagine a better use of AIs than saving the lives of children.I’ve been thinking a lot about how AI can reduce some of the world’s worst inequities.In the United States, the best opportunity for reducing inequity is to improve education, particularly making sure that students succeed at math. The evidence shows that having basic math skills sets students up for success, no matter what career they choose. But achievement in math is going down across the country, especially for Black, Latino, and low-income students. AI can help turn that trend around.Climate change is another issue where I’m convinced AI can make the world more equitable. The injustice of climate change is that the people who are suffering the most—the world’s poorest—are also the ones who did the least to contribute to the problem. I’m still thinking and learning about how AI can help, but later in this post I’ll suggest a few areas with a lot of potential.In short, I'm excited about the impact that AI will have on issues that theGates Foundationworks on, and the foundation will have much more to say about AI in the coming months. The world needs to make sure that everyone—and not just people who are well-off—benefits from artificial intelligence. Governments and philanthropy will need to play a major role in ensuring that it reduces inequity and doesn’t contribute to it. This is the priority for my own work related to AI.Any new technology that’s so disruptive is bound to make people uneasy, and that’s certainly true with artificial intelligence. I understand why—it raises hard questions about the workforce, the legal system, privacy, bias, and more. AIs also make factual mistakes and experiencehallucinations. Before I suggest some ways to mitigate the risks, I’ll define what I mean by AI, and I’ll go into more detail about some of the ways in which it will help empower people at work, save lives, and improve education.Defining artificial intelligenceTechnically, the termartificial intelligencerefers to a model created to solve a specific problem or provide a particular service. What is powering things likeChatGPTis artificial intelligence. It is learning how to do chat better but can’t learn other tasks. By contrast, the term artificial general intelligencerefers to software that’s capable of learning any task or subject. AGI doesn’t exist yet—there is a robust debate going on in the computing industry about how to create it, and whether it can even be created at all.Developing AI and AGI has been the great dream of the computing industry. For decades, the question was when computers would be better than humans at something other than making calculations. Now, with the arrival of machine learning and large amounts of computing power, sophisticated AIs are a reality and they will get better very fast.I think back to the early days of the personal computing revolution, when the software industry was so small that most of us could fit onstage at a conference. Today it is a global industry. Since a huge portion of it is now turning its attention to AI, the innovations are going to come much faster than what we experienced after the microprocessor breakthrough. Soon the pre-AI period will seem as distant as the days when using a computer meant typing at a C:> prompt rather than tapping on a screen.Productivity enhancementAlthough humans are still better than GPT at a lot of things, there are many jobs where these capabilities are not used much. For example, many of the tasks done by a person in sales (digital or phone), service, or document handling (like payables, accounting, or insurance claim disputes) require decision-making but not the ability to learn continuously. Corporations have training programs for these activities and in most cases, they have a lot of examples of good and bad work. Humans are trained using these data sets, and soon these data sets will also be used to train the AIs that will empower people to do this work more efficiently.As computing power gets cheaper, GPT’s ability to express ideas will increasingly be like having a white-collar worker available to help you with various tasks. Microsoft describes this as having a co-pilot. Fully incorporated into products like Office, AI will enhance your work—for example by helping with writing emails and managing your inbox.Eventually your main way of controlling a computer will no longer be pointing and clicking or tapping on menus and dialogue boxes. Instead, you’ll be able to write a request in plain English. (And not just English—AIs will understand languages from around the world. In India earlier this year, I met with developers who are working on AIs that will understand many of the languages spoken there.)In addition, advances in AI will enable the creation of a personal agent. Think of it as a digital personal assistant: It will see your latest emails, know about the meetings you attend, read what you read, and read the things you don’t want to bother with. This will both improve your work on the tasks you want to do and free you from the ones you don’t want to do.Advances in AI will enable the creation of a personal agent.You’ll be able to use natural language to have this agent help you with scheduling, communications, and e-commerce, and it will work across all your devices. Because of the cost of training the models and running the computations, creating a personal agent is not feasible yet, but thanks to the recent advances in AI, it is now a realistic goal.Some issues will need to be worked out: For example, can an insurance company ask your agent things about you without your permission? If so, how many people will choose not to use it?Company-wide agents will empower employees in new ways. An agent that understands a particular company will be available for its employees to consult directly and should be part of every meeting so it can answer questions. It can be told to be passive or encouraged to speak up if it has some insight. It will need access to the sales, support, finance, product schedules, and text related to the company. It should read news related to the industry the company is in. I believe that the result will be that employees will become more productive.When productivity goes up, society benefits because people are freed up to do other things, at work and at home. Of course, there are serious questions about what kind of support and retraining people will need. Governments need to help workers transition into other roles. But the demand for people who help other people will never go away. The rise of AI will free people up to do things that software never will—teaching, caring for patients, and supporting the elderly, for example.Global health and education are two areas where there’s great need and not enough workers to meet those needs. These are areas where AI can help reduce inequity if it is properly targeted. These should be a key focus of AI work, so I will turn to them now.HealthI see several ways in which AIs will improve health care and the medical field.For one thing, they’ll help health-care workers make the most of their time by taking care of certain tasks for them—things like filing insurance claims, dealing with paperwork, and drafting notes from a doctor’s visit. I expect that there will be a lot of innovation in this area.Other AI-driven improvements will be especially important for poor countries, where the vast majority of under-5 deaths happen.For example, many people in those countries never get to see a doctor, and AIs will help the health workers they do see be more productive. (The effort to developAI-powered ultrasound machinesthat can be used with minimal training is a great example of this.) AIs will even give patients the ability to do basic triage, get advice about how to deal with health problems, and decide whether they need to seek treatment.The AI models used in poor countries will need to be trained on different diseases than in rich countries. They will need to work in different languages and factor in different challenges, such as patients who live very far from clinics or can’t afford to stop working if they get sick.People will need to see evidence that health AIs are beneficial overall, even though they won’t be perfect and will make mistakes. AIs have to be tested very carefully and properly regulated, which means it will take longer for them to be adopted than in other areas. But then again, humans make mistakes too. And having no access to medical care is also a problem.In addition to helping with care, AIs will dramatically accelerate the rate of medical breakthroughs. The amount of data in biology is very large, and it’s hard for humans to keep track of all the ways that complex biological systems work. There is already software that can look at this data, infer what the pathways are, search for targets on pathogens, and design drugs accordingly. Some companies are working on cancer drugs that were developed this way.The next generation of tools will be much more efficient, and they’ll be able to predict side effects and figure out dosing levels. One of the Gates Foundation’s priorities in AI is to make sure these tools are used for the health problems that affect the poorest people in the world, including AIDS, TB, and malaria.Similarly, governments and philanthropy should create incentives for companies to share AI-generated insights into crops or livestock raised by people in poor countries. AIs can help develop better seeds based on local conditions, advise farmers on the best seeds to plant based on the soil and weather in their area, and help develop drugs and vaccines for livestock. As extreme weather and climate change put even more pressure on subsistence farmers in low-income countries, these advances will be even more important.EducationComputers haven’t had the effect on education that many of us in the industry have hoped. There have been some good developments, including educational games and online sources of information like Wikipedia, but they haven’t had a meaningful effect on any of the measures of students’ achievement.But I think in the next five to 10 years, AI-driven software will finally deliver on the promise of revolutionizing the way people teach and learn. It will know your interests and your learning style so it can tailor content that will keep you engaged. It will measure your understanding, notice when you’re losing interest, and understand what kind of motivation you respond to. It will give immediate feedback.There are many ways that AIs can assist teachers and administrators, including assessing a student’s understanding of a subject and giving advice on career planning. Teachers are already using tools like ChatGPT to provide comments on their students’ writing assignments.Of course, AIs will need a lot of training and further development before they can do things like understand how a certain student learns best or what motivates them. Even once the technology is perfected, learning will still depend on great relationships between students and teachers. It will enhance—but never replace—the work that students and teachers do together in the classroom.New tools will be created for schools that can afford to buy them, but we need to ensure that they are also created for and available to low-income schools in the U.S. and around the world. AIs will need to be trained on diverse data sets so they are unbiased and reflect the different cultures where they’ll be used. And the digital divide will need to be addressed so that students in low-income households do not get left behind.I know a lot of teachers are worried that students are using GPT to write their essays. Educators are already discussing ways to adapt to the new technology, and I suspect those conversations will continue for quite some time. I’ve heard about teachers who have found clever ways to incorporate the technology into their work—like by allowing students to use GPT to create a first draft that they have to personalize.Risks and problems with AIYou’ve probably read about problems with the current AI models. For example, they aren’t necessarily good at understanding the context for a human’s request, which leads to some strange results. When you ask an AI to make up something fictional, it can do that well. But when you ask for advice about a trip you want to take, it may suggest hotels that don’t exist. This is because the AI doesn’t understand the context for your request well enough to know whether it should invent fake hotels or only tell you about real ones that have rooms available.There are other issues, such as AIs giving wrong answers to math problems because they struggle with abstract reasoning. But none of these are fundamental limitations of artificial intelligence. Developers are working on them, and I think we’re going to see them largely fixed in less than two years and possibly much faster.Other concerns are not simply technical. For example, there’s the threat posed by humans armed with AI. Like most inventions, artificial intelligence can be used for good purposes or malign ones. Governments need to work with the private sector on ways to limit the risks.Then there’s the possibility that AIs will run out of control. Could a machine decide that humans are a threat, conclude that its interests are different from ours, or simply stop caring about us? Possibly, but this problem is no more urgent today than it was before the AI developments of the past few months.Superintelligent AIs are in our future. Compared to a computer, our brains operate at a snail’s pace: An electrical signal in the brain moves at 1/100,000th the speed of the signal in a silicon chip! Once developers can generalize a learning algorithm and run it at the speed of a computer—an accomplishment that could be a decade away or a century away—we’ll have an incredibly powerful AGI. It will be able to do everything that a human brain can, but without any practical limits on the size of its memory or the speed at which it operates. This will be a profound change.These “strong” AIs, as they’re known, will probably be able to establish their own goals. What will those goals be? What happens if they conflict with humanity’s interests? Should we try to prevent strong AI from ever being developed? These questions will get more pressing with time.But none of the breakthroughs of the past few months have moved us substantially closer to strong AI. Artificial intelligence still doesn’t control the physical world and can’t establish its own goals. A recentNew York Times articleabout a conversation with ChatGPT where it declared it wanted to become a human got a lot of attention. It was a fascinating look at how human-like the model's expression of emotions can be, but it isn't an indicator of meaningful independence.Three books have shaped my own thinking on this subject:Superintelligence, by Nick Bostrom;Life 3.0by Max Tegmark; andA Thousand Brains, by Jeff Hawkins. I don’t agree with everything the authors say, and they don’t agree with each other either. But all three books are well written and thought-provoking.The next frontiersThere will be an explosion of companies working on new uses of AI as well as ways to improve the technology itself. For example, companies are developing new chips that will provide the massive amounts of processing power needed for artificial intelligence. Some use optical switches—lasers, essentially—to reduce their energy consumption and lower the manufacturing cost. Ideally, innovative chips will allow you to run an AI on your own device, rather than in the cloud, as you have to do today.On the software side, the algorithms that drive an AI’s learning will get better. There will be certain domains, such as sales, where developers can make AIs extremely accurate by limiting the areas that they work in and giving them a lot of training data that’s specific to those areas. But one big open question is whether we’ll need many of these specialized AIs for different uses—one for education, say, and another for office productivity—or whether it will be possible to develop an artificial general intelligence that can learn any task. There will be immense competition on both approaches.No matter what, the subject of AIs will dominate the public discussion for the foreseeable future. I want to suggest three principles that should guide that conversation.First, we should try to balance fears about the downsides of AI—which are understandable and valid—with its ability to improve people’s lives. To make the most of this remarkable new technology, we’ll need to both guard against the risks and spread the benefits to as many people as possible.Second, market forces won’t naturally produce AI products and services that help the poorest. The opposite is more likely. With reliable funding and the right policies, governments and philanthropy can ensure that AIs are used to reduce inequity. Just as the world needs its brightest people focused on its biggest problems, we will need to focus the world’s best AIs on its biggest problems.Although we shouldn’t wait for this to happen, it’s interesting to think about whether artificial intelligence would ever identify inequity and try to reduce it. Do you need to have a sense of morality in order to see inequity, or would a purely rational AI also see it? If it did recognize inequity, what would it suggest that we do about it?Finally, we should keep in mind that we’re only at the beginning of what AI can accomplish. Whatever limitations it has today will be gone before we know it.I’m lucky to have been involved with the PC revolution and the Internet revolution. I’m just as excited about this moment. This new technology can help people everywhere improve their lives. At the same time, the world needs to establish the rules of the road so that any downsides of artificial intelligence are far outweighed by its benefits, and so that everyone can enjoy those benefits no matter where they live or how much money they have. The Age of AI is filled with opportunities and responsibilities.“Governments and philanthropy will need to play a major role in ensuring that it reduces inequity and doesn’t contribute to it. This is the priority for my own work related to A.I.,” Gates wrote.The potential of A.I. to solve problems affecting entire countries and communities comes with its own set of threats, and Gates acknowledges the technology is still limited.“People will need to see evidence that health A.I.s are beneficial overall, even though they won’t be perfect and will make mistakes,” Gates wrote. “A.I.s have to be tested very carefully and properly regulated, which means it will take longer for them to be adopted than in other areas.”A.I. can sometimes fumble or hallucinate by returning inaccurate or fictitious information and becoming a threat in the hands of wrong people who misuse it, he said. Then, of course, there is the possibility of A.I. running amok and becoming a threat to humans.Despite these risks, Gates still thinks A.I. technology has great potential.“Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it,” he wrote.The billionaire philanthropist has long supported A.I. and advocated that its benefits far outweigh its dangers. For one, he doesn’t see A.I. as a threat to jobs. If anything, it could improve how people work by increasing efficiency, he says.As the person who helped to start a computer revolution half a century ago, which also sparked similar concerns about killing jobs, he said A.I. 's development is “every bit as important as the PC, as the internet.” Earlier this year,  during a Reddit Ask Me Anything session, he touted A.I. as a tool that “gives a glimpse of what is to come.”It’s normal for people to raise concerns about any revolutionary technology, Gates said, but he added that A.I. is just one such example and that it can be used to accomplish real change.","news_type":1},"isVote":1,"tweetType":1,"viewCount":268,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":278874800316416,"gmtCreate":1709106243982,"gmtModify":1709106777143,"author":{"id":"4124933588086312","authorId":"4124933588086312","name":"Tony1802","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":7,"crmLevelSwitch":1,"followedFlag":false,"idStr":"4124933588086312","authorIdStr":"4124933588086312"},"themes":[],"htmlText":"it's like FB dumps metaverse, apple made the right move, it share price will soar again‌<a href=\"\">[保佑]&nbsp;</a>‌","listText":"it's like FB dumps metaverse, apple made the right move, it share price will soar again‌<a href=\"\">[保佑]&nbsp;</a>‌","text":"it's like FB dumps metaverse, apple made the right move, it share price will soar again‌[保佑] ‌","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/278874800316416","repostId":"1152135888","repostType":2,"repost":{"id":"1152135888","kind":"news","pubTimestamp":1709107200,"share":"https://ttm.financial/m/news/1152135888?lang=&edition=fundamental","pubTime":"2024-02-28 16:00","market":"us","language":"en","title":"So Long, Apple Car, We’ll Never Know What We Missed","url":"https://stock-news.laohu8.com/highlight/detail?id=1152135888","media":"Bloomberg","summary":"The tech giant’sdecision to scrap its auto project brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end.Apple’s presence on the road will remain limited to CarPlay, its in-car software.What could Apple have done with the humble automobile?","content":"<html><head></head><body><p>The tech giant’s decision to scrap its auto project brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end.</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/079adbfffb5cac608c9d7cdbb501dfcd\" alt=\"Apple’s presence on the road will remain limited to CarPlay, its in-car software.\" title=\"Apple’s presence on the road will remain limited to CarPlay, its in-car software.\" tg-width=\"2000\" tg-height=\"1366\"/><span>Apple’s presence on the road will remain limited to CarPlay, its in-car software.</span></p><p style=\"text-align: start;\">What could Apple have done with the humble automobile?</p><p style=\"text-align: start;\">Ideas, some credible and others less so, have dripped out for a decade. For a time, the company was rumored to be working on something small based on BMW’s i3. Then it was said to actually be a van. With augmented reality, a new kind of battery and smart seat belts.</p><p style=\"text-align: start;\">Reports suggested a desire to leapfrog Tesla and go straight to full self-driving — and it was granted permission to test its technology on California roads. It was looking at building charging infrastructure. So insatiable was the appetite for any news on the car, Apple watchers had started to pay attention to the kinds of vehicles bought by Apple executives to see whether there were any signs as to their tastes and the project’s probable direction.</p><p>My favorite report of all was that Apple had looked into a deal with the legendary motor group McLaren, signaling the Apple car might one day be a true supercar. A <em>British </em>one, no less. I could just picture it making its debut in a Bond movie: a tuxedoed Daniel Craig flirting with Siri to open the door to let him out.</p><p>Alas, we’ll never know what could have been. Apple’s decision to scrap its car project, according to reporting from Bloomberg News’ Mark Gurman, brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end. Apple’s presence on our roads will remain limited to CarPlay, its in-car software. Some of the company’s 2,000 workers on the project — named Titan — will be reassigned to work on artificial intelligence, Gurman wrote. Others will have to apply for other positions; some will be laid off.</p><p style=\"text-align: start;\">In this era of cost-cutting across the tech business, the Apple Car was a distraction that could no longer be justified, not when the needs of AI must take priority, with Apple seen as a laggard. Indeed, that Apple should bother making a car was always a difficult sell at the best of times. The large margins it enjoys on its hardware could not possibly be replicated, and the ordeal of putting a vehicle into production would have daunted even Tim Cook, for whom complex supply chains are a speciality. The initial struggles of Tesla, and costly abandonments of other car projects, such as Dyson’s, would have always been front of mind — and slowing growth in the sector made pushing ahead an even bigger risk.</p><p style=\"text-align: start;\">Indecision over the road the Apple Car should have taken seemed to be at the root of its problems. Leadership changes were frequent. Big-name former Tesla executive Doug Field joined Apple only to leave for Ford three years later. Project Titan was a project troubled — an unkind take is that the company has thrown billions of dollars down the drain through mismanagement and a lack of clear vision. Then again, Apple’s share price would rise handsomely whenever there was even a slither of news about the car’s existence — and it wouldn’t fall back when those rumors failed to materialize. Details of the project’s cancellation barely moved the company’s stock when reported on Tuesday.</p><p>Wedbush analyst Daniel Ives supported Apple&#39;s decision.</p><p style=\"text-align: start;\">&#34;Softer demand for EVs and competition fierce,&#34; he said in an email. &#34;EVs a different landscape from a few years ago. Apple saw writing on the wall.&#34;</p><p>Wedbush&#39;s Ives added: &#34;On one hand this is a modest disappointment as the view within Cupertino was that with roughly 2,000 employees on this initiative that an Apple Car was still on the medium term horizon. On the other hand, the laser focus within Apple is ramping up and executing a broad AI strategy within the Apple ecosystem as it appears the vast majority of these engineers and developers will now focus their efforts on AI.&#34;</p><p>Despite today’s news, there will always be, I suspect, rumors of an Apple Car being worked on somewhere in the bowels of Cupertino or some mystery location. Hazy details will be spoken about the same way we speculate about specimens at Area 51, or the whereabouts of Lord Lucan. But any expectations that something would hit the road before the end of this decade have now been dashed. The Apple Car, sadly, is canceled.</p></body></html>","source":"lsy1584095487587","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>So Long, Apple Car, We’ll Never Know What We Missed</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nSo Long, Apple Car, We’ll Never Know What We Missed\n</h2>\n\n<h4 class=\"meta\">\n\n\n2024-02-28 16:00 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.bloomberg.com/opinion/articles/2024-02-27/so-long-apple-car-we-ll-never-know-what-we-missed?srnd=homepage-asia><strong>Bloomberg</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>The tech giant’s decision to scrap its auto project brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end.Apple’s presence on the road will remain limited to ...</p>\n\n<a href=\"https://www.bloomberg.com/opinion/articles/2024-02-27/so-long-apple-car-we-ll-never-know-what-we-missed?srnd=homepage-asia\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"AAPL":"苹果"},"source_url":"https://www.bloomberg.com/opinion/articles/2024-02-27/so-long-apple-car-we-ll-never-know-what-we-missed?srnd=homepage-asia","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1152135888","content_text":"The tech giant’s decision to scrap its auto project brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end.Apple’s presence on the road will remain limited to CarPlay, its in-car software.What could Apple have done with the humble automobile?Ideas, some credible and others less so, have dripped out for a decade. For a time, the company was rumored to be working on something small based on BMW’s i3. Then it was said to actually be a van. With augmented reality, a new kind of battery and smart seat belts.Reports suggested a desire to leapfrog Tesla and go straight to full self-driving — and it was granted permission to test its technology on California roads. It was looking at building charging infrastructure. So insatiable was the appetite for any news on the car, Apple watchers had started to pay attention to the kinds of vehicles bought by Apple executives to see whether there were any signs as to their tastes and the project’s probable direction.My favorite report of all was that Apple had looked into a deal with the legendary motor group McLaren, signaling the Apple car might one day be a true supercar. A British one, no less. I could just picture it making its debut in a Bond movie: a tuxedoed Daniel Craig flirting with Siri to open the door to let him out.Alas, we’ll never know what could have been. Apple’s decision to scrap its car project, according to reporting from Bloomberg News’ Mark Gurman, brings everyone’s favorite Silicon Valley rumor to an anti-climatic but sadly predictable end. Apple’s presence on our roads will remain limited to CarPlay, its in-car software. Some of the company’s 2,000 workers on the project — named Titan — will be reassigned to work on artificial intelligence, Gurman wrote. Others will have to apply for other positions; some will be laid off.In this era of cost-cutting across the tech business, the Apple Car was a distraction that could no longer be justified, not when the needs of AI must take priority, with Apple seen as a laggard. Indeed, that Apple should bother making a car was always a difficult sell at the best of times. The large margins it enjoys on its hardware could not possibly be replicated, and the ordeal of putting a vehicle into production would have daunted even Tim Cook, for whom complex supply chains are a speciality. The initial struggles of Tesla, and costly abandonments of other car projects, such as Dyson’s, would have always been front of mind — and slowing growth in the sector made pushing ahead an even bigger risk.Indecision over the road the Apple Car should have taken seemed to be at the root of its problems. Leadership changes were frequent. Big-name former Tesla executive Doug Field joined Apple only to leave for Ford three years later. Project Titan was a project troubled — an unkind take is that the company has thrown billions of dollars down the drain through mismanagement and a lack of clear vision. Then again, Apple’s share price would rise handsomely whenever there was even a slither of news about the car’s existence — and it wouldn’t fall back when those rumors failed to materialize. Details of the project’s cancellation barely moved the company’s stock when reported on Tuesday.Wedbush analyst Daniel Ives supported Apple's decision.\"Softer demand for EVs and competition fierce,\" he said in an email. \"EVs a different landscape from a few years ago. Apple saw writing on the wall.\"Wedbush's Ives added: \"On one hand this is a modest disappointment as the view within Cupertino was that with roughly 2,000 employees on this initiative that an Apple Car was still on the medium term horizon. On the other hand, the laser focus within Apple is ramping up and executing a broad AI strategy within the Apple ecosystem as it appears the vast majority of these engineers and developers will now focus their efforts on AI.\"Despite today’s news, there will always be, I suspect, rumors of an Apple Car being worked on somewhere in the bowels of Cupertino or some mystery location. Hazy details will be spoken about the same way we speculate about specimens at Area 51, or the whereabouts of Lord Lucan. But any expectations that something would hit the road before the end of this decade have now been dashed. The Apple Car, sadly, is canceled.","news_type":1},"isVote":1,"tweetType":1,"viewCount":262,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"lives":[]}