How and why we should build a national library of generative AI use cases and benchmark tests

Last update: Monday 6/9/25

Coding has rapidly become the most successful use case for Large Language Models. Models can now code so well that all Big Tech and many smaller companies are making drastic reductions in the size of their coding staffs. That's bad news ... for software engineers. 

The good news ... for experts in a wide range of other fields ... is that new employment opportunities are just over the horizon for computer savvy personnel who learn how to use generative AI to solve complex problems in their fields. So how can they learn these new skills? Click Here to read more ... 

Ezra Klein, "The Matrix", and Big Tech's current efforts to trivialize LLMs

Last update: 5/31/23 

Once again, the editor of this blog calls his readers' attention to some cogent observations about artificial intelligence (AI) from Ezra Klein, his favorite public intellectual. Mr. Klein's observations appeared in a recent NY Times op ed ==> "Beyond the ‘Matrix’ Theory of the Mind", Ezra Klein, NY Times, 5/28/23. As the editor suggested in a previous note on this blog, "Ezra Klein: the public intellectual as AI critic", Klein is brilliant and well informed; but he is not an AI expert, so his incisive comments illuminate the limits of what can be understood about large language models (LLMs) and other AI technologies by non-experts.