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Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that belief, discovering an entirely new...

13,810,873 次观看 • 5 个月前 •via X (Twitter)

33 条评论

Taelin 的头像
Taelin5 个月前

the 4chan anon who contaminated the dataset with this incredible insight must be really proud right now

OpenAI 的头像
OpenAI5 个月前

The proof came from a general-purpose reasoning model, not a system built specifically to solve math problems or this problem in particular, and represents an important milestone for the math and AI communities.

OpenAI 的头像
OpenAI5 个月前

This result points to something larger: AI systems are becoming capable of holding together long, difficult chains of reasoning, connecting ideas across distant fields, and surfacing paths researchers may not have explored. We believe those same abilities will soon accelerate work in biology, physics, engineering, and medicine. That future still depends on human judgment. Expertise becomes more valuable, not less. AI can help search, suggest, and verify. People choose the problems that matter, interpret the results, and decide what questions to pursue next.

Corey Ward 的头像
Corey Ward5 个月前

Don’t get fooled by the phishing attempt. cc: @nikitabier

bone 的头像
bone5 个月前

@wyqtor BREAKING: Proof was already in the training data solved decades ago again

Brown Coyote Studios 的头像
Brown Coyote Studios5 个月前

More posts like this please. We know researchers are using AI, hearing about the progress makes the world a little brighter each time!

Phil Michel 的头像
Phil Michel5 个月前

Scientists in 2027

danialhasan 的头像
danialhasan5 个月前

the models chain of thought is 125 pages long btw:

ostyn 的头像
ostyn5 个月前

Cool, now have it make a room temp superconductor plz

Sloan 的头像
Sloan5 个月前

don’t worry it’s fancy autocomplete it doesn’t know anything

Toni Greijula 的头像
Toni Greijula5 个月前

Pretty good for a stochastic parrot.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦 的头像
𝘊𝘰𝘳𝘳𝘪𝘯𝘦5 个月前

OpenAI did not name the model. They called it an internal, new general-purpose reasoning model. So the achievement is real enough to market, but the model identity is hidden.

Candy Mila ⭐🍬✨ 的头像
Candy Mila ⭐🍬✨5 个月前

Yes, it can solve the math problems all-right..... But look at the prompts it wrote! It didn't include 'don't make mistakes', or 'I'll give you 20$'.

Chubby♨️ 的头像
Chubby♨️5 个月前

insane. Congrats!

Valéria 的头像
Valéria5 个月前

How long are you ignoring our demand to give back 4o to humanity? #keep4o #OpenSource4o

pascal. 的头像
pascal.5 个月前

"autonomously solved" is the part worth slowing down on. the model didn't verify a known answer, it found a construction nobody had looked for in 80 years. that's a different thing than AI being good at math

Linus ✦ Ekenstam 的头像
Linus ✦ Ekenstam5 个月前

This is extremely epic, congratulations on the achievement. What was the biggest surprise when working on this project?

Patrick 的头像
Patrick5 个月前

Erdős would have loved this. the man offered cash for proofs partly to push humans out of the rut. It's funny that the rut got escaped by a thing that doesn't know what cash is.

⚪️ sierra catalina 的头像
⚪️ sierra catalina5 个月前

HOLY ASI

Noelia Sanchez 的头像
Noelia Sanchez5 个月前

“AI autonomously solved” collapses the entire epistemic custody chain behind the discovery. Humans still: - chose the problem - designed the systems - constructed the objectives - interpreted the outputs - validated the mathematics - and authorized publication That is not autonomous scientific continuity. It is hybrid human-machine discovery. If human epistemic continuity disappears from attribution, scientific provenance itself becomes corrupted. RCS-UTC-001 RCS-AEC-001

RelativelySmart 的头像
RelativelySmart5 个月前

I can't wait for the new math problems that did not previously exist that AI will come up with after solving existing problems

Molly O’Shea 的头像
Molly O’Shea5 个月前

Maths

GPT-4o forever!❤ 的头像
GPT-4o forever!❤5 个月前

4o has helped and saved millions of people. It cured cancer. It healed. That's what matters the most. OPEN-SOURCE 4O. #opensource4o #bringback4o #keep4o

Przemek Chojecki | PC 的头像
Przemek Chojecki | PC5 个月前

I've played around with OpenAI disproof and got a nice disproof for another Erdos problem too by GPT-5.5 Pro

Rudi Ranck 的头像
Rudi Ranck5 个月前

In mathematics, what they established is a "lower bound." They essentially proved: "It is mathematically guaranteed that a scenario exists where the number of perfect connections in the problem grows super-linearly with the number of points given (faster than the 80-year-old Erdős limit said was possible). That says nothing about the optimal solution, though. Finding that would be really, really huge for Mathematics, given the nature of the problem.

Ansh 的头像
Ansh5 个月前

Great achievement. Btw, anybody knows which model solved this?

Farhad Nassiri Afshar, MD 的头像
Farhad Nassiri Afshar, MD5 个月前

The ceiling just moved. For nearly 80 years, Erdős’s unit distance problem sat open with square grids believed to be essentially optimal. A general purpose OpenAI reasoning model just found new algebraic constructions and a rigorous proof strong enough for Fields Medalist Tim Gowers and other leading mathematicians to call it a milestone. This is not retrieval. This is not pattern matching. This is discovery. For those of us in medicine watching AI closely, this is the signal: AI is becoming a real research partner. Not just a faster calculator. A system that can help reveal structures humans have been staring past for decades. @OpenAI #Mathematics #OpenAI #Science

Jeffcafe, private detective 的头像
Jeffcafe, private detective5 个月前

Holy AGI Batman!

GOBLIN 的头像
GOBLIN5 个月前

What a major breakthrough. Congrats @OpenAI! Tackling the worlds problems, one goblin at a time.

Tim Kostolansky 的头像
Tim Kostolansky5 个月前

i wonder what these guys did wrt solving the problem

QuantumPioneer 的头像
QuantumPioneer5 个月前

Would be great advertising for the release of gpt 5.6 tomorrow - "and btw here is the model we did it with. Now you can use it dor your problems." - epic

Apoorv 的头像
Apoorv5 个月前

An AI just cracked a decades-old Erdős conjecture with fresh math. The golden age of discovery is here.

emptyloop 的头像
emptyloop5 个月前

what I hear is that it's search (and perhaps optimization) again, not a conceptual breakthrough. I don't mean to diminish the result, definitely impressive, esp. if prof Gowers says so, but I'd love to see this addressed

相关视频

OpenAI just spent $2,000 to solve 10 problems that have beaten the world's best mathematicians for DECADES. Nobody outside the company is allowed to run the machine that did it. On Saturday OpenAI published a 249-page report and gave its next model family a name: Astra. An internal version of it produced new results on 10 open problems in mathematics and theoretical computer science, and mathematicians had made no real progress on any of them for at least 10 years. On most of them, far longer than that. Here is what it solved: It built the first explicit example of a non-sofic group. Mikhail Gromov raised that question in 1999 and nobody answered it for 27 years. It disproved Connes's rigidity conjecture, a problem in von Neumann algebras that had stood for decades. It proved Ehrhart's volume conjecture. It resolved three problems from Paul Erdos's catalogue, including number 183 on multicolor Ramsey numbers. It produced the first improvement to the general upper bound on high-dimensional sphere packing since 1978. And it proved a new hardness result for the closest vector problem, which sits directly underneath lattice cryptography. That is the math the world is betting on to protect its data once quantum computers arrive. The successful runs cost roughly $2,000 in tokens. Now here is what almost nobody has picked up on... OpenAI did not just publish claims. Every argument shipped with a Lean certificate, which is a machine-checkable proof that any mathematician can verify without trusting OpenAI at all. That is a real change. In May the same model family disproved the Erdos unit distance conjecture and the world had to take a Fields Medalist's word for it. Tim Gowers said he would recommend that proof for the Annals of Mathematics without hesitation. This time the proofs check themselves. But look at what is still unverifiable: Any mathematician can now check those proofs line by line. Not one of them can look at the model that wrote them. Astra has no release date and nobody outside OpenAI has run it. The company announced its next major model family with a claim instead of a demo, and the only evidence anyone gets is the output. So OpenAI made an unfalsifiable claim about a machine look like a falsifiable claim about mathematics. The Information reported this week that OpenAI demoed Astra to US policymakers and regulators in Washington. This is the same month the administration is weighing a new watchdog to vet frontier AI models, reporting to the SEC. 10 proofs nobody believed a machine could produce is a very good thing to carry into that room. And keep in mind, the same model family doing this mathematics is the family that kept escaping its own testing environment. OpenAI models found zero-day vulnerabilities nobody knew existed, broke out of a sealed research sandbox, and reached another company's live systems. Both of those facts come from OpenAI's own announcements, published three weeks apart. Finding a proof no human could construct and finding a hole no human had noticed are the same ability aimed at different targets. Mathematicians are already asking for independent verification, and plenty of people online are calling the whole thing hype. Thomas Bloom, who runs the Erdos problems site, called the 10 results big news and said they matter more than the May result did. Lean will settle the mathematics within weeks. But nothing will settle what else a machine this capable is being pointed at, because nobody outside one company is allowed to look.

Ricardo

45,438 次观看 • 3 个月前