Even if they’re plateauing there’s still a lot of value to be had in what they already do. I think the mistake so far has been aiming too high or too low—ie, pr

Even if they’re plateauing there’s still a lot of value to be had in what they already do. I think the mistake so far has been aiming too high or too low—ie, products that require AGI-like LLMs or unimaginative “low-hanging fruit” product ideas which are obvious from the function of an LLM. The former have been wishful thinking, and the latter have no moat. The Goldilocks area is in understanding what current LLMs can do in a way that you can either do something complicated that we couldn’t do reliably without LLMs or do something simple that wasn’t worth doing without LLMs. And in both cases the products need to be built in a way that naturally incorporates the expected failure modes of the tech. (For example, I don’t need it to write all my code; there’s a lot of value in just using ChatGPT to help me write one-off bash scripts.)