Simon Willison’s Weblog

Reality is that LLMs are not AGI -- they're a big curve fit to a very large dataset. They work via memorization and interpolation. But that interpolative curve can be tremendously useful, if you want to automate a known task that's a match for its training data distribution.

Memorization works, as long as you don't need to adapt to novelty. You don't need intelligence to achieve usefulness across a set of known, fixed scenarios.

— François Chollet