# CERN and Mistral Sign Statement of Intent to Build What CERN Calls a 'Large Physics Model'

Times of AI Desk · 2026-10-15 · Research

[https://timesof.ai/2026/10/cern-mistral-large-physics-model-statement-of-intent](https://timesof.ai/2026/10/cern-mistral-large-physics-model-statement-of-intent)

> CERN and Mistral signed a statement of intent on Oct. 15 for a long-term partnership on foundation models for science. Its first aim is a single pretrained 'Large Physics Model', which CERN calls the first foundation model for collider physics, trained on billions of simulated LHC collisions. No budget or timeline was given.

This is a statement of intent, not a funded project, on the announcement's own terms. **CERN** and **Mistral** said on **Thursday, October 15** that they have signed a statement of intent to establish a long-term partnership focused on foundation models for scientific discovery.

Its first ambition is a single pretrained **"Large Physics Model"**, which CERN calls "the first foundation model for collider physics." CERN says it will be trained on billions of simulated proton-proton collisions at the Large Hadron Collider and support tasks from reconstructing collisions and identifying particles to flagging unexpected signals and evaluating future detector designs.

CERN says it has stored around one exabyte of LHC data, and that collision numbers will rise tenfold with the HL-LHC, expected around 2030. CERN chief information officer **Enrica Porcari** said the work should "serve the whole physics community and be shared." Mistral's **Johannes Brandstetter** said the partners could develop capabilities "that have the potential to lead to new scientific discoveries."

## Limits

- The announcement did not give a budget, compute figure, timeline or licence; "shared" does not establish open weights. Both statements come from the partners; no independent coverage was read.

## Sources

- [CERN: CERN and Mistral join forces to accelerate AI for science (October 15, 2026)](https://home.cern/cern-and-mistral-join-forces-to-accelerate-ai-for-science/)