Nathan LAMBERT

Nathan is a machine learning researcher who works on building, understanding, and advocating for open language models and other responsible autonomous systems.

He is currently a post-training lead at the Allen Institute for AI.

Featured Posts:

Job Hunt as a PhD in AI / ML / RL: How it Actually Happens
Debugging Deep Model-based Reinforcement Learning Systems
All grad students (should) study graphic design
Reflecting on being a graduate student (in AI) in 2020
A Different Intro to RL in 30 Minutes

Research Directions:

Model Learning
Multi-Agent Systems
Robotics
Reinforcement Learning
Novel Robots
Beneficial AI

Built with Webflow

Papers: See Google Scholar, my CV, Semantic Scholar, see PhD Thesis.
Talks: See YouTube channel or CV.
To stay up to date, subscribe to Interconnects.ai.

Podcast appearances

I host two podcasts.

  1. Interconnects Interviews are ~biweekly and cover the latest technical trends in AI.
  2. The Retort is ~monthly and covers the political economy and stakes of AI.

Otherwise, I sometimes appear on friends' podcasts:

Research
Writing
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Robotics

Intelligent & novel devices to interact with the physical world.

A conceptual rendering of novel microrobot flight trajectories.
A conceptual rendering of novel microrobot flight trajectories.

Machine Learning

The science of using data to decide in the presence of uncertainty.

The optimization landscape with Bayesian Optimization.

Society

Making sure the stakeholders of automation are in the conversation.

A diagram depicting existing fields of socio-technical inquiry in AI
A diagram depicting existing fields of socio-technical inquiry in AI

Guides

Popular Posts

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