GPT 5.4 solves Erdos problem mathematicians had worked on for years
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Date: April 17th, 2026 11:35 AM
Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,...
80 minutes of GPT 5.4 and it one shotted it. This wasn’t one of the problems that didn’t attract mathematician attention too. It had been worked on by many notable mathematicians over the years. Value of human intelligence is going to ZERO. Productive mathematicians will be increasingly running agent swarms rather than doing work themselves.
https://x.com/liam06972452/status/2044051379916882067?s=46
(http://www.autoadmit.com/thread.php?thread_id=5857819&forum_id=2#49823312) |
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Date: April 17th, 2026 11:58 AM
Author: .,.,...,..,.,.,:,,:,...,:::,...,:,.,.:..:.
The difference with this one is that it had attracted a lot of attention and had actually been worked on by serious people. The other Erdos problems were basically ones that were fairly straightforward but hadn’t been of substantial interest. The proof here was unusual and had tackled the problem in an unexpected way. Maybe the math equivalent of move 37 with Alphago where we can start seeing the effects of RL training causing these models to abandon human strategies
(http://www.autoadmit.com/thread.php?thread_id=5857819&forum_id=2#49823352) |
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Date: April 17th, 2026 12:09 PM
Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,...
cr, it’s over. Human society did the hard work of figuring out how to do matrix multiplications really quickly and now we can soon rest forever
(http://www.autoadmit.com/thread.php?thread_id=5857819&forum_id=2#49823369) |
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Date: April 17th, 2026 12:26 PM
Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,...
the skepticism about this is completely retarded. it's been almost a year since AI got gold at the IMO and the models are much better now. people can't cope about the rapidly approaching human intellectual obsolescence
(http://www.autoadmit.com/thread.php?thread_id=5857819&forum_id=2#49823405) |
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Date: April 17th, 2026 12:35 PM
Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,...
that place is so unhinged about ai
(http://www.autoadmit.com/thread.php?thread_id=5857819&forum_id=2#49823436) |
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Date: April 17th, 2026 12:29 PM
Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,...
(http://www.autoadmit.com/thread.php?thread_id=5857819&forum_id=2#49823410) |
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Date: April 17th, 2026 1:22 PM
Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,...
(http://www.autoadmit.com/thread.php?thread_id=5857819&forum_id=2#49823610) |
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Date: April 17th, 2026 1:09 PM
Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,...
the general theme of modern AI research is that it's easy to get superhuman performance in domains where data generation is cheap. if you have a game environment you can run simulations with, you can take a garbage learning algorithm and a model that knows nothing about the world and train it on 300 million frames and it will get sufficient generalization to work well. this has been replicated over and over in many different settings. math and software engineering are similar in that you can easily throw together simulations and then feed the data back into the learning algorithm. there's no equivalent for legal research.
the likely trajectory is domains like this doesn't get automated immediately, while SWE performance continues to improve rapidly. Mythos and its successors get deployed to run their own AI training experiments to improve generalization. since compute is increasingly plentiful, they can do the equivalent of millions of man hours of AI research in a short period of time. deficiencies in generalization get eliminated and these other areas fall.
(http://www.autoadmit.com/thread.php?thread_id=5857819&forum_id=2#49823574) |
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