Nathan Lambert is a Senior Research Scientist and Post-Training Lead at the Allen Institute for AI (Ai2), where he leads open-source language model development on the OLMo and Tulu series. A UC Berkeley PhD, he previously led the RLHF team at Hugging Face, co-building the TRL library and the Zephyr model. He runs Interconnects AI, a Substack newsletter read by tens of thousands covering post-training, open models, and AI policy, and is the author of The RLHF Book (Manning Publications). With roughly 8,000 academic citations and a reputation for demystifying the hardest parts of modern AI, Lambert is one of the most trusted voices at the intersection of open-source AI research and public education.
Daniel Bourke is an Australian machine learning engineer, educator, and content creator who teaches over 230,000 students worldwide through the Zero to Mastery Academy. Operating under the brand 'mrdbourke', he built a self-designed AI education path from a film degree and zero coding experience, and now creates courses on PyTorch, TensorFlow, and Hugging Face. He co-founded Nutrify, an AI-powered food tracking app, with his brother Joshua, and published his debut novel 'Charlie Walks' in 2024. His newsletter 'Eat, Move, Learn, Make' blends personal philosophy with technical insight.