Foundation Models for Oversight | Transluce AI
transluce.org · 8,487 words · saved by 2 readers
A vision for training a foundation model that formalizes, tests, and answers questions about AI model behavior
Foundation Models for Oversight A vision for training a foundation model that formalizes, tests, and answers questions about AI model behavior Jacob Steinhardt Transluce | Published: July 28, 2026 This outlines the research vision for the Oversight Foundations team at Transluce. As an experiment in public transparency, in addition to the high-level vision we've included our current concrete de-risking plan. Of course, many specifics of the plan may change as we execute. We will post regular updates as that plan proceeds to keep you updated. We hope this serves as a valuable resource on how to
saved by
related reading
- Discovering Language Model Behaviors with Model-Written Evaluations — LessWronglesswrong.com
- Self-CTRL: Self-Consistency Training with Reinforcement Learningarxiv.org
- Oversight Assistants: Turning Compute into Understandingbounded-regret.ghost.io
- Introspection Adapters: Training LLMs to Report Their Learned Behaviorsarxiv.org
- Scaling Activation Oracles to Trillion-Parameter Modelstransluce.org
- gpt-4.pdfcdn.openai.com
- Measuring progress on scalable oversightanthropic.com
- Oversight Assistants: Turning Compute into Understandingbounded-regret.ghost.io
- Recommendations for Technical AI Safety Research Directionsalignment.anthropic.com
- On the Opportunities and Risks of Foundation Modelsarxiv.org
- A Steerable Model with Emergent Capabilitiespi.website
- Automated Alignment Researchers: Using large language models to scale scalable oversight \ Anthropicanthropic.com