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.
SF Bay Area
Empirical
Washington, D.C.
Policy and Governance
Strategy and Forecasting
Founding and Field-Building
SF Bay Area
Empirical
SF Bay Area
Theory
Biosecurity
SF Bay Area
Theory
Biosecurity
Strategy and Forecasting
SF Bay Area
Strategy and Forecasting
Empirical
SF Bay Area
Policy and Governance
SF Bay Area
Empirical
Biosecurity
Washington, D.C.
Systems Security
Policy and Governance
London
Empirical
London
Biosecurity
SF Bay Area
Founding and Field-Building
Empirical
Systems Security
SF Bay Area
Founding and Field-Building
SF Bay Area
Empirical
Boston
Policy and Governance
London
Biosecurity