Leading academic mathematicians now worried about AI putting them out of work
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Date: May 10th, 2026 12:58 PM Author: bistre macaca station
https://x.com/wtgowers/status/2052830948685676605?s=46
AI can now generate results in a couple hours that are basically equivalent to a chapter in a math phd thesis. Pretty 180. Hopefully these people can learn to do something actually productive for humanity instead of getting paid to solve puzzles only they care about. SWE and math being wrecked by AI should free up a lot of human capital.
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#49878547) |
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Date: May 10th, 2026 4:08 PM Author: Vivacious Plum Gas Station Hunting Ground
LLMs have no empirical model of the world. They cannot check hypotheses. All they can do is create them. They need a human to check them
The reason why they are able to self-check hypotheses in math and coding is because you can literally run checks of those within digital engines, on a computer
You can't do that for irl. LLMs will always be confined to digital computer environments
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#49878810) |
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Date: May 11th, 2026 4:00 PM Author: Vivacious Plum Gas Station Hunting Ground
No, they are only capable of predictions within their training data. They cannot generalize, period. LLMs are incapable of generalization as a basic property of how they work
I can't tell if people who claim they can generalize have become so entranced by LLMs that they genuine believe it, or they're just lying to hype up the technology, or a blend of both
Legit general AI is coming. People will build virtual RL environments with real world physics and throw massive amounts of money and compute at them. They will find clever ways to impart some base level of virtual environment RL training to robot brains and so the robots have enough training scaffolding that they can gather their own data irl and learn effectively from that, slowly but surely
But LLMs cannot generalize. LLM technology is limited to the world of language. Coding, writing, anything digital bc everything digital is code based. Nothing beyond that irl
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#49880386) |
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Date: May 11th, 2026 7:24 PM Author: Vivacious Plum Gas Station Hunting Ground
i meant out of distribution generalization, yes, sorry
the issue is that language does not capture anything close to Reality (the physical world). it seems to me like people are getting way too caught up into thinking there actually is some kind of overarching Platonic World Of Forms that sits above Physical Reality that LLMs are tapping into and operating on. but this isn't true. language is just language. it's not the real world. LLMs are only ever going to be able to "model" and extrapolate within this limited Language-World, because that is what they are trained on. they have no mechanism to interact directly with Reality
like i said above, this only applies to LLMs. other forms of AI that *can* interact directly with Reality will be developed. but this distinction matters imo because LLMs are being dishonestly hyped up as the end all be all of AI, and purported to be able to do things they cannot actually do (or will ever be able to do). this dishonesty can potentially become very dangerous if people in power decide to cynically (or even just ignorantly) appeal to LLM outputs for their decision-making and moral judgments
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#49880777) |
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Date: May 11th, 2026 7:58 PM Author: flesh ticket booth
Sure I think if the target is general embodied cognition I think the system needs direct contact, modeling to "reality".
But I still think the phrase “compression layer over reality” should not be interpreted as “kinda sorta in the ballpark.” a theory in a physics textbook isn't reality in itself either, it isn't identical to reality but it still is encoding real constraints and makes a real diff.
I get your point, that llmss can model the world only through the representational channels they are trained on, but what they are trained on still constains information about the real world even if lossy
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#49880853) |
Date: May 11th, 2026 7:45 PM Author: passionate pale menage
"mathematics departments, who owe a duty of care to their students"
LOL, is this rube not familiar with the modern university system?
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#49880809) |
Date: May 20th, 2026 7:52 PM Author: bistre macaca station
And now it solves the first truly major unsolved problem. Value of human intelligence is heading straight to zero. 180^180
https://x.com/wtgowers/status/2057175727271800912?s=46
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#49892236) |
Date: July 10th, 2026 11:48 PM Author: bistre macaca station
GPT 5.6 just solved an extremely well known problem in graph theory that had stumped them for a long time.
https://x.com/__eknight__/status/2075643450196971805?s=46
The sentiment in math research circles is becoming increasingly negative given even current abilities and the extreme rate of progress. LJL. We don’t need smart people to spend decades working on “theoretical” math. The sooner we can automate this, the better society will be
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#49992358) |
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Date: July 11th, 2026 1:27 AM Author: flesh ticket booth
Do not return merely because current approaches fail or agents report theorem-strength gaps.
Continue launching new rounds, reopening blocked approaches only when there is a genuinely
new mechanism, and searching for fresh formulations.
Return only when a complete affirmative proof has been found and survives adversarial audit.
Do not return a reduction, partial result, isolated missing lemma, “best effort” summary, or
explanation of why the problem is difficult.
Spend at least 8 hours on this before even thinking of returning or giving up.
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#49992460) |
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Date: July 18th, 2026 7:14 PM
Author: .,.,...,..,.,.,:,,:,...,:::,...,:,.,.:..:.
Got every question right on this year’s International math olympiad. Also recently resolved a major problem in statistics. It’s over for humans.
https://github.com/SignalPilot-Labs/AutoFyn/blob/production/results/imo-2026/pdfs/IMO_performance_by_GPT_5_6_sol.pdf
https://x.com/wfithian/status/2077218361398964684?s=46
(http://www.autoadmit.com/thread.php?thread_id=5865573&forum_id=2#50008906) |
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