People use the general impressiveness of language produced by humans as a proxy measuring their intelligence, that’s how LLMs became AI. The amount of code out

People use the general impressiveness of language produced by humans as a proxy measuring their intelligence, that’s how LLMs became AI. The amount of code out there lets LLMs learn on examples of a lot of tasks and pass SWE benchmarks. Smart autocomplete and solved problem lookup has value. Even if it doesn’t always work correctly, and doesn’t know what it knows. And for non-programmers they’re indistinguishable from programmers. They produce working code. It’s easy to see how a product manager or a designer or even a manager that didn’t code for years in a large company can think they’re almost as good as devs.