Twitter/X

Alex Luposasca (guest on Latent.Space, episode published 2026-05-11) reports…

2026-05-11 · 11:31 UTC ·@ALupsasca ·1 min read

Brief

Alex Luposasca, on Latent.Space (published 2026-05-11), describes using GPT‑5.x to derive new scattering‑amplitude results (single‑minus gluon trees), solve a year‑long puzzle, generalize methods to graviton amplitudes, and crack a black‑hole perturbation problem. He portrays AI as a productive research 'scout' while warning of hallucination risks and a new bottleneck in paper writing and curation.

Why it matters

Alex Luposasca (guest on Latent.Space, episode published 2026-05-11) reports GPT‑5.x derived new results in scattering amplitudes, including a simplification for single‑minus gluon tree amplitudes (discussed ~14:38–31:26) and a reconstructed proof from scratch (~38:07) to verify validity.

Key details

  • GPT‑5 helped solve a year‑long physics puzzle (~20:56–23:02); GPT Pro then generalized those techniques to graviton amplitudes (~42:27–53:57). Luposasca also credits GPT‑5 with solving a black‑hole perturbation problem (~1:12:46).
  • Luposasca characterizes AI as a 'scout' and collaborator that accelerates theoretical discovery but warns of 'AI slop' risks to publishing quality and says the bottleneck is shifting to human curation, taste, and writing papers (~53:57–1:30:19).
Source evidence

I recently joined @latentspacepod to talk about AI for physics.

We dug into recent work on scattering amplitudes with GPT, and what it suggests about how AI will accelerate theoretical discovery in a rapidly evolving field.

Latent.Space (@latentspacepod)

🔬Doing Vibe Physics

The full story of how GPT‑5.x derived new results in theoretical physics and quantum gravity, live on our Science pod today!

latent.space/p/lupsasca

our conversation with @ALupsasca, an award winning theoretical physicist on his AGI-pilling journey applying GPT5 to physics problems (with a nudge from @markchen90)!

Timestamps
0:00 Introduction to Al's impact on physics research
0:43 Guest introduction: Alex Luposka
2:49 Alex joining OpenAl and the shift in physics research
4:08 The release of GPT-5 and the shift in capabilities
10:05 Explaining Quantum Field Theory and amplitude calculations
14:20 Overview of gluons and the strong force
14:38 Discussing the first research paper on single-minus gluon tree amplitudes
20:56 How ChatGPT helped solve a year-long physics puzzle
23:02 Complexity of manual calculations in physics
26:12 The history and mechanics of Feynman diagrams
27:44 The Parke-Taylor formula and the quest for simplification
31:26 Using ChatGPT to find the simplification in the special phase space region
38:07 Proving the formula from scratch to ensure validity
41:00 Determining the scientific impact and future research
42:27 Introduction to the second paper on graviton amplitudes
45:41 |
Defining particles, irreducible representations, and symmetry
47:46 How GPT Pro generalized the research to gravity
53:57 The epistemological shift: Is this a new way of doing physics?
59:27 The use of Al as a 'scout' for research directions
1:01:44 The role of 'taste' and collaboration with Al
1:10:23 Personal evolution from Al skeptic to resident scientist
1:12:46 Solving a black hole perturbation problem with GPT-5
1:16:34 Discussing whether Al can make original, conceptual leaps
1:20:09 Challenges of 'Al slop' and the future of academic publishing
1:23:13 The bottleneck of writing academic papers
1:30:19 Final takeaways and looking ahead to the next year

Video

— https://nitter.net/latentspacepod/status/2051764833851453662#m