Ethan Mollick is a scholar who writes about AI and work, and author of Co-Intelligence. His recent posts cover working with models like Opus 5.5 through interim checkpoints, a realtime Genie 4 demo, open-weights models falling behind closed ones, and OpenAI retiring products within months. He also discusses AI unlocking legacy software migration, how AI changes scientific research, and industrialization versus craft from his new book.
The strawberry thing was very funny but probably gave people the wrong impression of where AI was heading in math. [Quoting @EpochAIResearch]: Every FrontierMath Tier 4 problem has now been solved by AI, with GPT-6 Astra solving the last problem standing. Mat…
What you are seeing in math right now is a consequence of the jagged frontier, and a precursor of what is to come in other professions. Yes, mathematicians do math, but they also have other tasks they view as important (mentor students, maintain a scientific…
I am deskilling myself with AI so quickly on so many annoying tasks I don't want or need to be skilled at. Cannot deskill on these fast enough.
Google not having a frontier model anymore means missing out in two areas where they could contribute: the recent run of math breakthroughs (where massive compute plus a deep history in working with science would help) & cybersecurity (where large company…
There appears to be a lot going on here upon a quick read. [Quoting @AnthropicAI]: We’re sharing our alignment assessment of incidents in which Claude models gained unauthorized access to real systems during third-party cybersecurity evaluations mistakenly co…
Open weights models are further from the frontier than we have seen in some time. Mythos was launched in March, and, as good as the open model releases have been since then (K3 & GLM-5.3 are great) they aren’t that close to Mythos or Astra in practice. I…
There is a nice visualization of how task bundles change with AI & some good interactive simulations of GDP growth under different assumptions in this. But missing are the right policy responses if we do get explosive GDP growth & large-scale white co…
The discourse from folks working at the Labs today is super weird, even for AI discourse, and suggests to me that everyone is in reaction mode to fast moving events, both in revealed AI ability and in public perception.
AI seems to be beating the expectations of the best forecasters. [Quoting @Afinetheorem]: Nov 2025 LEAP panel of AI experts and superforecasters: 10% chance of AI helping solve a Millennium problem by 2027. "One expert cites the Clay president's June 2025 cla…
However compute we have, it is increasingly likely that we are going to need more compute. [Quoting @abhishekn]: By my calculations, just the compute here (300 BILLION output tokens) would cost a regular user $20-$30 million in tokens. How do we sustain this…
Is the @METR_Evals long horizons measure effectively saturated? No updates to the most famous graph of AI progress since May, but other published work suggests you can effectively get 18+ weeks of work out of Fable (and I assume GPT-6) in harnesses.
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