Anthropic reported that an unpublished model has made progress on the Riemann hypothesis, a unsolved problem for over 150 years.
The system tested 650 ideas over a day and a half, coordinated 60 subagents, and used 31 million tokens to search for a solution.

What the Anthropic model achieved with the Riemann hypothesis
The Riemann hypothesis is one of the major open problems in mathematics and is linked to the distribution of prime numbers.
Anthropic reported that a model not yet publicly presented managed to significantly increase the lower bound of solutions for which the hypothesis holds.
The result does not constitute a general proof of the hypothesis. Currently, there is a reward of US$1 million for a valid and complete proof.

How artificial intelligence worked to advance the problem
A member of Anthropic without significant mathematical training asked the model to try to solve the problem and then let it organize the work for a day and a half.
During that period, the system tested 650 different ideas and coordinated the work of 60 subagents specialized in various tasks.
2 subagents developed the main mathematical ideas.
13 subagents contributed ideas for those agents.
30 subagents attempted to develop new ideas without success.













