OpenAI announces three big science discoveries and a new way to work with academics

<figure> <img alt="OpenAI logo with a background of complex math formulas." data-caption="" data-portal-copyright="Image: The Verge" data-has-syndication-rights="1" src="https://platform.theverge.com/wp-content/uploads/sites/2/2026/10/STKS537_AI_MATH_2.jpg?quality=90&#038;strip=all&#038;crop=0,0,100,100" /> <figcaption> </figcaption> </figure> <p class="wp-block-paragraph">Less than a month after its <a href="https://www.theverge.com/ai-artificial-intelligence/1008726/openai-mathematics-solutions-chaos">mass release of hundreds of manuscripts</a> that it said contained solutions to long-standing mathematics questions, OpenAI is back with <a href="https://openai.com/index/building-scientific-understanding-with-academic-communities/">three more "major" discoveries in math, computer science, and physics</a>. What's different this time is the choice to have external experts that OpenAI describes as "shepherds" guiding the results in computer science and physics, while for the math problem it says that they advised it to release the AI output for researchers to work through their own explanations. </p> <blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow"> <p class="wp-block-paragraph"><a href="https://github.com/openai/math/blob/main/history.md"><strong>OpenAI results added to GitHub today:</strong></a></p> <p class="wp-block-paragraph">Local smoothing for the Euclidean wave equation. The proof uses an auxiliary par …</p></blockquote> <p><a href="https://www.theverge.com/ai-artificial-intelligence/1019143/openai-eth-kaseya-science-math-physics">Read the full story at The Verge.</a></p>