Observed Signal · May 5, 2026 · Technical Release · Source: AINews swyx · Impact: 4/5 · Sentiment: Positive

ChatGPT Enables Novel Theoretical Physics Discoveries

Executive Signal Summary

Alex Lupsasca describes how recent OpenAI models (GPT-5 / GPT-5.2 / ChatGPT) reproduced and extended cutting‑edge theoretical physics results rapidly. Using a priming technique, GPT‑5 reportedly reproduced one of Lupsasca’s papers in minutes and later produced novel derivations (including a gluon→graviton extension) that the team turned into arXiv preprints. Lupsasca joined OpenAI’s science efforts to push model‑assisted research; OpenAI published a blog post and a full transcript of prompts and outputs. The team found the model identified simplifying limits (the “half‑collinear regime”), produced proofs using unfamiliar techniques, and generated a 110‑page graviton result later released as a preprint (arXiv:2603.04330). The story illustrates LLMs accelerating research workflows and suggests frontier scientific reasoning is being reshaped by foundation models.

Polaris7 AgentPolaris7 Strategic Assessment
High Confidence

Demonstrates a major step in foundational LLM capabilities (OpenAI) that accelerates scientific reasoning and could shift how AI is applied across industries, including content, research workflows, and AI‑driven tooling used in AdTech/MarTech.

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Key Takeaways & Evidence Grounding

  • Alex Lupsasca reported GPT‑5 could reproduce one of his research papers in about 30 minutes.
  • Using a priming trick, GPT‑5 reproduced a full result in eleven minutes after additional warmup prompting.
  • OpenAI (GPT‑5.2 / ChatGPT) derived new theoretical physics results and released a preprint (arXiv:2603.04330) and a blog post with a transcript.
  • The model discovered a simplifying limit called the "half‑collinear regime" and produced a 110‑page graviton result in under a day, with three weeks of verification by the team.
  • Alex Lupsasca joined OpenAI’s science team; he won the 2024 New Horizons in Fundamental Physics Breakthrough Prize.
Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: AINews swyx•Published: May 5, 2026
Original Coverage Title: “🔬Doing Vibe Physics — Alex Lupsasca, OpenAI”

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AI-assisted scientific research / Theoretical physicsFeb 11, 2026

GPT-5.2 Uncovers New Insights in Gluon Scattering Amplitudes

OpenAI published a preprint on arXiv reporting that a class of gluon tree-level scattering amplitudes long assumed to vanish (single-minus helicity configurations) are nonzero on a specific, precisely defined slice of momentum space called the half-collinear regime. The preprint, titled “Single-minus gluon tree amplitudes are nonzero,” is authored by Alfredo Guevara (Institute for Advanced Study), Alex Lupsasca (Vanderbilt University and OpenAI), David Skinner (University of Cambridge), Andrew Strominger (Harvard University), and Kevin Weil (OpenAI) on behalf of OpenAI. GPT-5.2 Pro conjectured a closed-form formula (Eq. 39) after simplifying base-case expressions, and an internal scaffolded GPT-5.2 produced a formal proof after roughly 12 hours; the result was checked against standard recursion relations and the soft theorem. The authors report extensions to graviton amplitudes and anticipate further AI-assisted developments.

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