Nathan Lambert -- Character Training
This stream works on character training for language models, and on research to understand the open model ecosystem, including policy-facing work.
Stream overview
Character training work + research to understand the open model ecosystem (e.g. policy facing)
Mentors
Boston
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Nathan Lambert works at a stealth post-training nonprofit. Lambert was previously the post-training lead at the Allen Institute for AI.
Mentorship style
Fellows we are looking for
Project selection
The Winter 2027 cohort offers a wide range of research streams led by experts across AI alignment, interpretability, governance, and safety. Each stream provides its own research agenda, methodology, and mentorship focus.
Boston
Empirical
Empirical
London
Empirical
London
Empirical
London
Empirical
Montreal
Empirical
SF Bay Area
Empirical
Theory
London
Empirical
Founding and Field-Building
Policy and Governance
SF Bay Area
Empirical
Systems Security
London
Empirical
Washington, D.C.
Policy and Governance
London
Empirical
Washington, D.C.
Policy and Governance
SF Bay Area
Strategy and Forecasting
Policy and Governance
SF Bay Area
Founding and Field-Building
London
Biosecurity
Washington, D.C.
Biosecurity
London
Empirical