PeopleofSuperintelligence

Researcher

Guillaume Martin

Guillaume Martin is an AI researcher whose work spans reasoning models, speech systems, compact language models, robot navigation, and safety classifiers. In 2025, he coauthored Magistral, Mistral's first reasoning model, and Voxtral's audio chat models. He also coauthored Ministral 3, Voxtral TTS, Robostral Navigate, and Shieldstral in 2026; as of October 2026, he is a coauthor on published research in robot navigation and multimodal safety.

Timeline

  1. June 2025

    Magistral reasoning model

    In June 2025, he coauthors Magistral, Mistral's first reasoning model, and a scalable reinforcement-learning pipeline.

  2. July 2025

    Voxtral audio chat models

    In July 2025, he coauthors Voxtral Mini and Voxtral Small, multimodal audio chat models trained to understand spoken audio and text.

  3. January 2026

    The Ministral 3 family

    In January 2026, he coauthors Ministral 3, a family of parameter-efficient dense language models in 3B, 8B, and 14B parameter sizes.

  4. March 2026

    Voxtral text-to-speech

    In March 2026, he coauthors Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from three seconds of reference audio.

  5. As of October 2026

    Research coauthor

    In 2026, he coauthors papers on robot navigation and multimodal safety. Robostral Navigate is an 8B vision-language model built for navigation, and Shieldstral is a 3B multimodal safety classifier.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. Magistral arxiv.org. Checked 19 October 2026.
  2. Guillaume Martin | OpenAlex openalex.org. Checked 19 October 2026.
  3. Voxtral alphaxiv.org. Checked 19 October 2026.
  4. Ministral 3 arxiv.org. Checked 19 October 2026.
  5. Voxtral TTS arxiv.org. Checked 19 October 2026.
  6. Robostral Navigate arxiv.org. Checked 19 October 2026.
  7. Shieldstral arxiv.org. Checked 19 October 2026.