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Lab notes
Working with academic communities to build scientific understanding
OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics, and how researchers can verify and build on them.
We are announcing three new discoveries in mathematics, computer science, and physics about harmonic analysis, complexity theory, and quantum field theory.
Our release process continues to evolve in response to feedback from the associated academic communities. In our view, these manuscripts are best understood as a form of raw research data. To convert this raw research data into scientific understanding, in this release we are experimenting with a new approach. We reached out to external experts and asked them to act as shepherds, organizing groups to understand the new results. They advised three different release strategies:
For the math result, release the AI output, leaving researchers free to organize their own efforts to explain the result.
For the computer science result, form an external group of collaborators to explain the result, while making the AI output publicly available for anyone to examine and build on.
The opening of the post, quoted unchanged from OpenAI. The full text continues at the source.