Fundamentally, they are based on gathering an extraordinary amount of linguistic data (much of it codified on the internet), finding correlations between words (more accurately, sub-words called "tokens"), and then predicting what output should follow given a particular prompt as input. For all the alleged complexity of generative AI, at their core they really are models of language.
Nvidia repurchased $91B shares since 2018, not $112.5B; Mr. Burry appears to have incorrectly included RSU taxes. Employee equity grants should not be conflated with the performance of the repurchase program. Nvidia's employee compensation is consistent with that of peers. Employees benefiting from a rising share price does not indicate the original equity grants were excessive at the time of issuance.
The Vanguard S&P 500 ETF ( NYSEMKT: VOO) had its worst day in months on Thursday, falling 1.6%, and the selloff appears likely to continue as Friday dawns, with the ETF down another 1% premarket. And why? Your guess is as good as anyone else's. Theories range from worries that artificial intelligence isn't generating the efficiencies it was supposed to (such that investments in AI aren't paying off for companies using it) to fears that AI stocks have been bid up to unsustainable valuations.
A whopping 53 percent of just over 5,000 US adults polled in June think that AI will "worsen people's ability to think creatively." Fifty percent say AI will deteriorate our ability to form meaningful relationships, while only five percent believe the reverse. While 29 percent of respondents said they believe AI will make people better problem-solvers, 38 percent said it could worsen our ability to solve problems.