Why Open Source AI Beats Big Tech - Thomas Wolf (Hugging Face)
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Why Open Source AI Beats Big Tech - Thomas Wolf (Hugging Face)
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Thomas Wolf is the Co-Founder and Chief Science Officer of Hugging Face, one of the most important companies in open-source AI.
Hugging Face has become the central platform for AI builders, researchers, and companies working with machine learning models, datasets, and open-source tools.
In this episode, Thomas explains how Hugging Face started as a game company, why the team pivoted into open-source AI, and how a weekend project around Google’s BERT model became one of the first major signals that Hugging Face could become much bigger.
He also shares why open-source AI matters, how Hugging Face thinks about robotics, and why the future of AI may depend on openness, affordability, privacy, and giving builders access to powerful tools.
Thomas is a physicist, lawyer, PhD, and AI founder. Before building Hugging Face, he studied physics, law, and the rules that govern both the physical world and society. Today, he works at the center of the AI ecosystem, helping make machine learning models, tools, and infrastructure more accessible to developers around the world.