“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

It's not news to anyone that there are concerns about AI’s rising energy bill. But a new analysis shows the latest reasoning models are substantially more energy intensive than previous generations, ...

This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...

Artificial intelligence for formal mathematical reasoning startup Harmonic AI Inc. announced today that it has raised $120 million in new funding on a $1.45 billion valuation. The funding is intended ...

Ribbit Capital Leads Round at $1.45B Valuation of Math-Based AI Venture; Emerson Collective Joins Existing Backers Including Sequoia & Kleiner Perkins PALO ALTO, Calif.--(BUSINESS WIRE)--Harmonic, the ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Is it possible for artificial intelligence to truly “think” better than before? With the release of Qwen 3 Max Thinking, Quinn has made a bold claim: this model represents a leap forward in reasoning, ...

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...