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Timothee Lacroix

Timothee Lacroix

Timothee Lacroix

Organization
Mistral AI

Position
Co-founder & CTO, Mistral AI

🇫🇷French
h-Index--
Citations--
Followers10,000+
Awards1
Publications8
Companies3

Intelligence Briefing

Co-founded Mistral AI in April 2023 with Arthur Mensch and Guillaume Lample. Former Meta FAIR researcher who contributed to the development of the LLaMA family of large language models. Became one of France's first AI billionaires in September 2025 with a net worth of $1.1B. Leads Mistral's technical infrastructure and model training, scaling the company to over $100M in annual revenue by late 2025. Named a Top EMEA CTO in 2025.

Expertise
Large Language ModelsAI InfrastructureKnowledge Graph EmbeddingsDistributed SystemsFrontier Founder
Education

BSc, Computer ScienceEcole Normale Superieure, Paris

MSc, Computer ScienceParis-Saclay University

PhD, Computer ScienceEcole des Ponts ParisTech

Operational History

2025

Became AI Billionaire

Timothee Lacroix became one of France's first AI billionaires with a net worth of $1.1B.

career
2025

Mistral AI Revenue Milestone

Mistral AI scaled to over $100M in annual revenue.

career
2025

Named Top EMEA CTO

Timothee Lacroix was named a Top EMEA CTO.

award
2023

Co-founded Mistral AI

Timothee Lacroix co-founded Mistral AI with Arthur Mensch and Guillaume Lample.

founding
2023

Joined Meta FAIR

Timothee Lacroix joined Meta's FAIR team as a Research Engineer.

career
2022

Completed PhD

Timothee Lacroix completed his PhD at Ecole des Ponts ParisTech.

career
2021

Contributed to LLaMA

Timothee Lacroix contributed to the development of the LLaMA family of large language models at Meta.

research
2020

Research Engineer

Timothee Lacroix worked as a Research Engineer at Meta FAIR.

career

AGI Position Assessment

Risk Level
LOW
MODERATE
HIGH
CRITICAL
Predicted AGI Timeline

Unknown

Supports open-weight model releases as a mechanism for collective safety research. Believes in building practical, efficient models rather than racing to the largest scale.

Safety Approach

Supports open-weight model releases as a mechanism for collective safety research. Believes in building practical, efficient models rather than racing to the largest scale.

Intercepted Communications

Building practical, efficient models is more important than racing to the largest scale.

Interview with Timothee Lacroix2025-10-01AI Safety

Open-weight model releases can foster collective safety research.

Panel Discussion on AI Safety2025-09-15AI Safety

The future of AI lies in collaboration and transparency.

Keynote Speech at AI Summit2025-11-20AI Collaboration

Mistral AI aims to redefine the landscape of AI infrastructure.

Company Announcement2023-04-15Company Vision

Innovation in AI should benefit everyone, not just a select few.

Interview with TechCrunch2025-08-10AI Ethics

Research Output

2020s8

Ethics in AI Development

2025

AI Ethics Review

The Future of AI Infrastructure

2024

Tech Innovations Journal

LLaMA: Open and Efficient Foundation Language Models

2023

arXiv

Introduced a new family of language models that are open and efficient.

w/ Arthur Mensch, Guillaume LampleView Paper

Advancements in Large Language Models

2023

AI Magazine

Mistral: A New Paradigm in AI

2023

AI Research Journal

Knowledge Graph Embeddings for AI Applications

2022

Journal of AI Research

Tensor Decompositions in AI

2021

Proceedings of the International Conference on Machine Learning

Scaling Distributed Systems for AI

2020

Journal of Distributed Computing

Field Intelligence

The Future of AI: Opportunities and Challenges

YouTube2025-05-151:02:30

AI Safety and Ethics

Podcast2025-07-2045:00

Building Efficient AI Models

Conference2025-09-1030:00

Mistral AI: Vision and Goals

Webinar2023-08-2550:00

AI Infrastructure for the Future

Tech Conference2024-11-0540:00

Known Associates

Organizational Affiliations

Current

Mistral AI

Co-founder & CTO

2023 - Present

Former

Meta

Research Engineer

2020 - 2023

Meta

PhD Student

2018 - 2020

Commendations

2025

Top EMEA CTO

EMEA Tech Awards

Source Material

Dossier last updated: 2026-03-04