To The Moon

Big-Tech’s PerformanceIf the tide goes out, who's the first to be caught swimming naked? I'm afraid that's a topic tech companies are starting to worry about this week.While NVDA's earnings continue to indicate strong demand, the hardware cycle tends to lag behind software, and this week's earnings reports from several software companies gave sensitive investors in the market a hint of danger. Combined with poor Treasury auctions, U.S. bond yields remain high, and hawkish responses from top Fed officials have put pressure on stock market liquidity as well.By the close of trading on May 20, the best performer over the past week was $NVIDIA Corp(NVDA)$ +16.38%, followed by $Apple(AAPL)$ +0.2%, while all oth

There’s one word I’ve been thinking a lot about lately: Generalizability.According to Merriam-Webster, generalizable means “to give a general form to” or “to give general applicability to.”In the context of artificial intelligence, generalizability refers to a model or application that has a general purpose rather than a specific purpose. As AI models get better and smarter the quality of what they generalize improves and they generalize more outputs from text to language to images.Usually, generalizing involves tradeoffs for a business. A general-purpose product may not a answer niche or power user’s needs. The general-purpose product typically has a lower value to the average user but has value to a wider number of users than a specialized product.In the context of AI, this dynamic seems