PeopleofSuperintelligence

Researcher

Virgile Richard

Virgile Richard is an AI researcher whose coauthored Mistral work spans reasoning and coding models, compact language models, speech systems, and multimodal safety. In 2025, they coauthored Magistral, Mistral's first reasoning model, and the Devstral-Small report for code agents. In 2026, they coauthored Ministral 3, Voxtral Realtime, and Voxtral TTS, and contributed to Shieldstral.

Works
2
Citations
0
h-index
0

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. June 2025

    Magistral reasoning model

    In June 2025, they coauthor Magistral, Mistral's first reasoning model, and a paper describing a scalable reinforcement-learning pipeline.

  2. August 2025

    Devstral for code agents

    In August 2025, they coauthor the Devstral technical report, which introduces Devstral-Small as a lightweight open-source model for code agents.

  3. January 2026

    Ministral 3

    In January 2026, they coauthor Ministral 3, a family of parameter-efficient dense language models designed for compute- and memory-constrained applications.

  4. February 2026

    Voxtral Realtime

    In February 2026, they coauthor Voxtral Realtime, a natively streaming speech-recognition model that matches offline transcription quality at sub-second latency.

  5. March 2026

    Voxtral TTS

    In March 2026, they coauthor Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as 3 seconds of reference audio.

  6. July 2026

    Shieldstral safety classifier

    In July 2026, they contribute to Shieldstral, a 3B-parameter policy-adaptive 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 each year from 1955 to 2025, tracing the shift from university labs to companies.
  2. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  3. 43% of living people shaping AI work outside their country of birthWe estimate that 43% of living people shaping AI work outside their country of birth (520 of 1,198 people with known birth and employment countries).
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionWe estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Sources and credits

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  1. Magistral arxiv.org. Checked 21 October 2026.
  2. Devstral: Fine-tuning Language Models for Coding Agent Applications arxiv.org. Checked 21 October 2026.
  3. Ministral 3 arxiv.org. Checked 21 October 2026.
  4. Voxtral Realtime arxiv.org. Checked 21 October 2026.
  5. Voxtral Realtime — Lacuna lacuna.tiptreesystems.com. Checked 21 October 2026.
  6. Voxtral TTS arxiv.org. Checked 21 October 2026.
  7. Virgile Richard | alphaXiv alphaxiv.org. Checked 21 October 2026.
  8. Shieldstral arxiv.org. Checked 21 October 2026.