I've gone beyond the point where I can reply to every email or request. To help process this information, I have strict rules for where different requests should go.
I do read all of my personal emails, but I do not have time for some responses.
Some guidelines to getting in touch:
- For Ai2 projects, use olmo@allenai.org for OLMo questions and tulu@allenai.org for Tülu post-training questions.
- All engagements with private companies that cannot share the materials publicly are consulting. I do these very rarely and they require a premium price.
- Media should either email me at mail@interconnects.ai or press@allenai.org and mention me.
- All inquires related to promotions or business operations of Interconnects.ai should go to mail@interconnects.ai.
- My primary email is nathan@natolambert.com. This is for direct communications. Emailing me press pitches? See above.
- I have other email addresses. Using these incorrectly (e.g. found on the web randomly) will result in you message being ignored.
- My phone number is intended to be private and any unsolicited contact there is considered spam.
Other forms, from Twitter to Substack DMs are used randomly and do not have a promise of reading content. Email is my primary form of communication.
Note on collaborations: Unfortunately due to the focused nature of my work, I add very few collaborations from external organizations. Feel free to propose it, but especially for cross-organizational collaborations they tend to be inefficient unless scoped in a manner than can be strongly separated and pursued in parallel.
Bio (speaker / casual):
Nathan Lambert is the founder of a stealth AI lab and currently writing Interconnects AI, a well read technical newsletter on AI models and research. He was recently a Senior Research Scientist and post-training lead at the Allen Institute for AI focusing on building open language models like Olmo. He works to increase transparency and understanding of current AI models and systems by building the open ecosystem.
Previously, he helped build an RLHF research team at HuggingFace. He received his PhD from the University of California, Berkeley working at the intersection of machine learning and robotics. He was advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab and Roberto Calandra at Meta AI Research. He was lucky to intern at Facebook AI and DeepMind during his Ph.D. Nathan was was awarded the UC Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism for his efforts to better community norms.
Nathan Lambert is the founder of a stealth AI lab and currently writing Interconnects AI, a well read technical newsletter on AI models and research. He works to increase transparency and understanding of current AI models and systems. He was recently a Senior Research Scientist and post-training lead at the Allen Institute for AI focusing on building open language models. His writing accrues millions of views annually, is the author of the reference textbook on reinforcement learning from human feedback (RLHF), is well-known for his advocacy of American leadership in open-source AI, and has published numerous award winning pieces of scientific work.
Previously, he helped build an RLHF research team at HuggingFace and received his PhD from the University of California, Berkeley working at the intersection of machine learning and robotics. He graduated from Cornell University with a BS in electrical engineering where he spent 4 years on the lightweight crew.
Speaker headshot
