Saturday, February 14, 2026

GPT-5.2 derived a new result in theoretical physics. We’re releasing the result in a preprint with researchers from @the_IAS, @VanderbiltU, @Cambridge_Uni, and @Harvard. It shows that a gluon interaction many physicists expected would not occur can arise under specific

Love seeing how Spotify is shipping with Claude Code. Their best developers haven't written a single line of code since December, they fix bugs from their phones, and they shipped 50+ features from Slack during morning commutes https://t.co/rYTVJBHE0s

Gluons carry the strong nuclear force, which is the force that binds quarks together inside protons and neutrons. Without the strong force, atomic nuclei would not exist. It is one of the four fundamental forces of nature and a core part of the Standard Model of particle

The authors of the preprint realized this a year ago and sought to find the correct formula for interactions involving any number n of gluons, going up to n=6 by hand but obtaining complicated expressions that they sought to simplify, without success. GPT-5.2 simplified these

For decades, one specific gluon interaction (“single-minus” at tree level) was widely treated as having zero amplitude, meaning it was assumed not to occur. When an amplitude is zero, physicists may ignore it. But this preprint shows that the conclusion is too strong: in a

Thank you to our collaborators for their partnership. The preprint is available on arXiv and is being submitted for publication. We welcome feedback from the community. https://t.co/zxoZkGFG9x

In modern amplitude theory, simple formulas often signal deeper structure. Showing that a case long thought to be empty actually contains structure sharpens our understanding of the mathematics of the strong force and opens new directions, including extensions to gravity and

hi elie, thanks for your question > 10B active parameters was intentional > M2.5 is getting close to “infinite agent scaling” > knowledge capacity is the main limit > tradeoffs are thoughtfully chosen for efficiency & practicality > pretraining innovations remain exciting areas https://t.co/vbMV0w38Gf

We ❤️ launches! Here’s a recap of what went out this week: — An upgrade to Gemini 3 Deep Think that solves complex modern science and engineering challenges. Scientists, researchers, and enterprises can express interest in Deep Think via our early access program and Google AI

OSINT search engine for mapping real-world infrastructure from OpenStreetMap data. - Telecommunications towers - Power plants and substations - Data centers - Airports and helipads - Ports and harbours - Warehouses and industrial facilities - Pipelines and refineries - Military https://t.co/Dz51fERrxY