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Notes -
Maths is readily verifiable. It's an area where humans struggle, not being something we evolved specifically to do. This is the most exposed salient in human experience, the least defensible terrain.
AI is going to push further ahead in maths. Only this year has AI been capable of introducing any major novel mathematical discoveries whatsoever. Only in the past month has it gotten to this level where they can fire off the slop cannon with abandon, those 700 results were within normal-people token budgets, not 'gigantic agent swarm' budgets. They said it was roughly 3 hours of GPT-6 Pro worth of compute on an internal model for each of those, on average. Next month? Next year?
Tokens will get cheaper, models will get smarter. The AI companies are mostly focusing their resources on more pressing issues anyway, the practical mathematics of coding, AI inference and training. They've been making continual progress there too.
So what if AI currently makes these dumb mistakes like getting a sign wrong. I had an issue just the other day where it was taking a screenshot and finding that there was no oscillation in the animation (but a screenshot is not going to help here, being static) and so I had to tell it to use another method of testing for the issue. If I were Yann LeCun or Gary Marcus or whoever, I'd say this proves they have no world model, no common sense, it's all a scam, LLMs are a false path... But they get better over time, month by month.
Let's at least wait for a full year of AI plateau before setting out who will coexist with AI!
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