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

Nathan Lambert
Stealth Post-training Non-profit
,
Executive Director
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.

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Mentorship style

Fellows we are looking for

Project selection

Streams

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.

Washington, D.C.
Policy & Governance, Strategy & Forecasting
Oxford
AI Welfare
SF Bay Area
Control, Model Organisms, Scheming & Deception, Strategy & Forecasting
SF Bay Area
Interpretability
Tübingen
Dangerous Capability Evals, Agent Foundations, Adversarial Robustness, Monitoring, Scalable Oversight, Scheming & Deception
SF Bay Area
Dangerous Capability Evals, Policy & Governance
New York City
Monitoring, Dangerous Capability Evals, Scalable Oversight, Safeguards
SF Bay Area
Strategy & Forecasting, Policy & Governance
Montreal
Agent Foundations, Dangerous Capability Evals, Monitoring, Control, Red-Teaming, Scalable Oversight
SF Bay Area
Control, Model Organisms, Red-Teaming, Scheming & Deception