open models are still incredibly useful, but fill a long-tail ecosystem relative to the closed counterparts that have monopoly ownership stakes in the most valuable areas like knowledge work collaboration, drug discovery, SWE, etc.
You'll find this in most non-professional activities-there's always something auxiliary but still in high demand because people can't do it themselves.
Two other formally odd books I love: Alejandro Zambra's Multiple Choice (trans. by Megan McDowell), structured as a standardized test with e.g. chapters of fill-in-the-blank questions
There are certainly math results which could only have been accomplished because there was a human authentication and an AI involved, but it's hard to disentangle credit. I mean, these tools, they do not replicate all the skills needed to do mathematics, but they can replicate some non-trivial percentage of them, 30, 40%, so they can fill in gaps.
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