aaraujo002

Maybe, but it still seems like an excuse. OpenAI has a proprietary model capable of solving these problems and is willing to share the results with the mathematical community. So basically, the ask is to just not use the model and leave the problems unsolved?

This happens all the time, even without AI. Other researchers or PhD students can publish the same results before you. I say that based on my experience during my PhD.

The Advisory Group states in its recommendations [1]:

"We want to state clearly from the start: we do not endorse this practice, and we ask them to stop testing advanced mathematical problems on proprietary models."

To me, this is a take against progress so that mathematicians can keep their jobs. What would we do if, instead of math, we were talking about diseases? Are we going to keep diseases around so that doctors can keep their jobs too?

[1] https://agmai.org/general-sep29/

I am European, and I feel the same way.

Europe has been anti-innovation for a long time, completely missing the tech wave in the 2000s. I was hopeful that Europe would learn from its past mistakes, but now it is also completely missing the AI wave and falling behind.

The politics are bad, way too user-centric (see Arthur Mensch complaining about AI regulation), and the European mentality does not help. The social safety net is strong, which is good, but perhaps too generous given the state of the economy. Without sufficient economic growth, it becomes unsustainable, leading to a lower and lower quality of social benefits.

People complain, rightly so, that things were better before, but nobody does anything or even seems to understand that innovation and economic growth are what fuel everything.

I am very bearish on the state of Europe, which, as a European, makes me sad.

Disclaimer: I have immigrated to the US.

OP’s link is the statement on the events of the last few days. Tristan Buckmaster also released mathematical papers alongside this statement:

https://mastodon.social/@tristanbuckmaster/11723341370570119...

And here are Terence Tao’s comments on the results: https://mathstodon.xyz/@tao/117233527638291447

They released the code here: https://github.com/anthropics/fermats-last-theorem

This is a position paper. Its purpose is to advocate for a specific viewpoint to the ML community.

From [1]: "Position papers make an argument for a viewpoint or perspective about what should be done [...]"

[1] https://icml.cc/Conferences/2026/CallForPositionPapers

The model should perform better with JSON prompts than with natural language prompts. The safety filter may also be triggered incorrectly by natural language prompts, we are aware of this and will make a future checkpoint update to improve it.

See how to prompt the model here: https://github.com/ideogram-oss/ideogram4/blob/main/docs/pro...

Disclaimer: I work at Ideogram.