PeopleofSuperintelligence

Researcher

Hamish Ivison

Hamish Ivison is a language-model researcher whose work spans open models and post-training methods. At the University of Sydney, they studied Arts and IT before working on Ai2’s AllenNLP team and completing Ai2’s predoctoral program; they began a University of Washington PhD in 2023. Across open language-model projects, they coauthored Tülu 2, OLMo, Tülu 3, OLMo 3, and TESS 2, then coauthored Tmax, an open reinforcement-learning recipe for terminal agents. As of October 2026, they are a PhD student in UW’s H2Lab and a part-time researcher at FAIR under Mike Lewis.

Timeline

  1. By 2023

    From Sydney to a UW PhD

    At the University of Sydney, they earn degrees in Arts and IT, with majors in Linguistics, Classical Greek, and Computer Science. Before their PhD, they work as a predoctoral researcher on Ai2’s AllenNLP team, complete Ai2’s Predoctoral Young Investigators program, and become a PhD student at the University of Washington in 2023.

  2. 2023

    Tülu 2 adaptation work

    In 2023, they coauthor work on Tülu 2, which releases instruction datasets, fine-tuned Llama 2 models, and code for open adaptation of language models.

  3. 2024

    OLMo and open language research

    OLMo is a 2024 project they coauthor: a competitive open language model built for scientific study and released with open training data, training code, and evaluation code.

  4. 2024

    Tülu 3 post-training

    Tülu 3 is another 2024 project they coauthor, an open family of post-trained models released with data, code, and training recipes. Its training methods include supervised fine-tuning, direct preference optimization, and reinforcement learning with verifiable rewards.

  5. 2025

    OLMo 3 and TESS 2

    OLMo 3 is a fully open family of 7B and 32B models they coauthor in 2025; they also coauthor TESS 2, an instruction-following diffusion language model. The OLMo 3 release includes each stage, checkpoint, data point, and dependency used to build the models.

  6. 2025

    PhD research at UW

    A third-year PhD student at UW in 2025, they focus on post-training methods for language models, particularly data selection and reinforcement learning.

  7. 2026

    Tmax for terminal agents

    Tmax extends their 2026 research to terminal agents: they coauthor an open reinforcement-learning recipe and release a terminal dataset, open-weight models, and code for future research.

  8. As of October 2026

    FAIR research and context models

    At the University of Washington’s H2Lab, they are a PhD student and a part-time researcher at FAIR under Mike Lewis. In 2026, they coauthor Context Language Models, which lets language models manage context by making unrestricted updates to a file.

  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. Hamish Ivison | Research, publications, and writing by Hamish Ivison, a PhD student working on language model post-training and reinforcement learning. ivison.id.au. Checked 19 October 2026.
  2. Predoctoral young investigators program | Ai2 allenai.org. Checked 19 October 2026.
  3. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 arxiv.org. Checked 19 October 2026.
  4. OLMo: Accelerating the Science of Language Models arxiv.org. Checked 19 October 2026.
  5. Tulu 3: Pushing Frontiers in Open Language Model Post-Training arxiv.org. Checked 19 October 2026.
  6. Olmo 3 arxiv.org. Checked 19 October 2026.
  7. Hamish Ivison - ACL Anthology aclanthology.org. Checked 19 October 2026.
  8. Annual Research Showcase: Innovations in Computing - Paul G. Allen School of Computer Science & Engineering cs.washington.edu. Checked 19 October 2026.
  9. Tmax: A simple recipe for terminal agents arxiv.org. Checked 19 October 2026.
  10. Context Language Models arxiv.org. Checked 19 October 2026.