Artificial Intelligence

OpenAI Announces New Math, Physics and Computer Science Discoveries

OpenAI has announced a series of new discoveries generated by its models across mathematics, computer science, and physics, following a previous release of hundreds of pages of math solutions.

Radwan AbdulhadiEditor and technology writer

Published: October 27, 2026 · Updated: October 27, 2026 · 3 min read

OpenAI Announces New Math, Physics and Computer Science Discoveries — Image: Engadget

Expanding Beyond Mathematics

Just a few weeks after OpenAI released manuscripts with over 700 pages of solutions and progress for 372 major math problems, the company has announced even more discoveries. This time, the developments extend beyond mathematics into computer science and physics.

The latest updates were detailed in a report by Engadget, highlighting how the organization is branching out its artificial intelligence models to tackle complex scientific and theoretical challenges.

New Strategies for Publishing Scientific AI Results

For this release, OpenAI has experimented with three different strategies for sharing its findings. It has published the math results directly so that researchers can look them up and make their own efforts to explain them.

For the computer science and physics results, however, the company formed an external group of expert collaborators. OpenAI asked the group working on the computer science results to explain them in their own writeups and materials while also releasing the AI output to the public. Meanwhile, OpenAI deferred the release of the physics materials entirely to the group handling them. The company is actively welcoming feedback on how to broaden participation and make this process more useful.

Challenging the Exponential Time Hypothesis

OpenAI has added two new manuscripts on GitHub that users can access right now. One manuscript establishes Sogge's local smoothing for waves in every spatial dimension, which is a conjecture about the behavior of solutions to the wave equation.

The other manuscript shows proof that the Exponential Time Hypothesis, an assumption in computer science stating that some problems are just too hard to solve quickly, is false. As OpenAI notes, ETH is widely believed to be true and has served as the basis for hundreds of papers across diverse fields, including databases, computational biology, and geometry.

If ETH is indeed false, researchers could theoretically find better algorithms to solve problems in those fields much more efficiently. The scientists who originally proposed ETH are now part of the expert group that OpenAI asked to examine and explain the model-generated results.

Image related to the report from Engadget · Source: Engadget

Quantum Field Theories and Physics Discoveries

In addition to mathematics and computer science breakthroughs, the latest batch of findings includes physics results involving proof of interacting quantum field theories containing gauge fields and fermions in four dimensions.

The external group examining the physics results has yet to publish formal documentation about it, but they have provided an email address—YANGMILLS4D[@]gmail.com—for all inquiries regarding their ongoing efforts and analysis.

Attribution and Academic Credit

Regarding academic recognition, OpenAI stated that it will not seek any academic credit for the discoveries generated by its models. Instead, the individuals participating in each expert group will receive full credit for the writeups and materials they create.

Furthermore, these groups will be directly responsible for ensuring that the AI-generated results appropriately credit all the human researchers, underlying techniques, and foundational ideas that the company's models drew upon during the discovery process.