Nous Research recently released Nomos 1, a new 30B parameter reasoning system that outperformed competitors like Qwen 3 in the 2025 Putnam Contest, scoring 87 out of 120.

The specifics:

The method employs a two-phase process: AI "workers" solve problems and evaluate their own answers, and the best contribution is then chosen in a tournament-style bracket.

Nomos received eight flawless problem scores last year, placing it second out of almost 4,000 human participants.

Additionally, Nous published and made available as open-source a reasoning harness, which is orchestration code that controls the model's problem-solving process.

When Qwen3 was run through the same harness and setup, the score was only 24/120, indicating that model training rather than the harness was responsible for the increases.

Even basic math issues were a barrier for the best AI systems not too long ago, but today a tiny, open model is passing a famously challenging test. The entire industry is poised for an AI-driven boom, with Nomos, AI helping solve intractable problems, and labs bringing in gold medal-winning math models.

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