AI is jagged, but I think sometimes it is easy to overly focus on that. The generalness is a surprise too! LLMs may be optimized for verifia…

AI is jagged, but I think sometimes it is easy to overly focus on that. The generalness is a surprise too! LLMs may be optimized for verifiable fields like coding, but AI is also not bad at corporate strategy & medical advice & writing a sestina & expressing empathy & ideation. Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a…

Things that make the jagged intelligence of AI harder to deal with than the jaggedness of humans: 1) Weaknesses are not always intuitive or …
And all the evidence is is that is that models are getting better all this other stuff at the same time as they are improving in coding. Mor…
Some approaches: 1) Multiple reviews. Some papers already show having many AI team members review a problem reduces errors 2) Building in te…
Hallucinations remain in LLMs, but note that over centuries we have developed complicated, successful machines that take uncertain output fr…
There are more competitive small model makers, but there is still a very big gap between what small models can do and what large models can …

Source: Ethan Mollick (X) | 2026-04-09

Related