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ENTITY Mats

Mats

PulseAugur coverage of Mats — every cluster mentioning Mats across labs, papers, and developer communities, ranked by signal.

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Total · 30d
7
7 over 90d
Releases · 30d
0
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Papers · 30d
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TIER MIX · 90D
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3 day(s) with sentiment data

RECENT · PAGE 1/1 · 7 TOTAL
  1. RESEARCH · CL_90642 ·

    Google DeepMind Explores Why SFT Filters Fail for LLM Safety

    Google DeepMind researchers are investigating why supervised fine-tuning (SFT) filters for safety properties in language models often fail. Their analysis, focusing on Gemini and Olmo, reveals that undesirable traits li…

  2. COMMENTARY · CL_73944 ·

    AI safety researchers urged to join fellowships over solo papers

    Aspiring AI safety researchers are advised against attempting to publish their first paper as a solo author. The author suggests that collaborative environments, such as part-time research fellowships, offer a much high…

  3. COMMENTARY · CL_65302 ·

    Scott Alexander's ACX Open Thread Covers AI Safety, Politics, and Fellowships

    Scott Alexander's Astral Codex Ten open thread highlights several key topics. One discussion point revolves around surprising alumni of the Frankfurt School, including Palantir founder Alex Karp. The thread also feature…

  4. COMMENTARY · CL_57714 ·

    Advice for Aspiring Research Managers in AI Safety

    This article offers advice for individuals interested in research management (RM), particularly within the context of the Machine Assistance & Training Services (MATS) program. The author emphasizes that RM is primarily…

  5. COMMENTARY · CL_37483 ·

    AI safety fellowships urged to offer better feedback for applicants

    An AI safety researcher suggests improvements for fellowship application processes, advocating for more constructive feedback to rejected candidates. The author proposes that fellowships provide detailed recommendation …

  6. COMMENTARY · CL_33133 ·

    MATS AI safety program demands intense work, high compute, and strong references

    A retrospective on the Machine Alignment Training (MATS) program offers insights into the demanding work schedule and significant compute resources required for AI safety research. The author, a former MATS participant,…

  7. RESEARCH · CL_14791 ·

    AI Safety Bootcamp Oxford offers technical and generalist tracks

    OAISI is organizing its fourth AI Safety Research Bootcamp (ARBOx4) in Oxford from June 28 to July 10, 2026. The program offers two tracks: a Technical Research Stream focusing on ML safety techniques and a new Generali…