Hugging Face's Clem Delangue on Open Source AI and the LLM Bubble | MTS Live

May 23, 2026

1:05

Hugging Face's Clem Delangue on Open Source AI and the LLM Bubble | MTS Live

Here's a surprising twist: Clem Delangue from Hugging Face argues the real bubble isn’t in big, API-driven language models. It’s in the hype around their rapid, costly expansion. According to Delangue, open-source AI is quietly reshaping the game, making AI more accessible and adaptable. He points out that open-weight models — those that anyone can tweak — are gaining ground, especially as the US and China compete for AI dominance. But here's where it gets interesting — Delangue suggests robotics could be the next big interface for AI, transforming how we interact with technology daily. This shift might even sideline the current LLM bubble, which, as he explains, is inflated by hype rather than true innovation. As content+a16zpodcast@a16z.com reports, the real future might lie in open infrastructure that encourages collaboration and safety. So, what’s next? Those who build flexible, open systems could win in this rapidly evolving landscape, not just those chasing the biggest models.

Clem Delangue joins MTS to discuss the global open-source AI landscape, the current large language model bubble, and the future of consumer robotics.

Originally aired on MTS, Theo Jaffee and Sofia Puccini speak with Clément Delangue, CEO at Hugging Face, about the global open-source AI race, why he believes the real bubble is in API-based large language models, and how robotics could become the next major interface for AI. They also discuss AI safety, U.S.-China competition, open-weight models, and why Hugging Face became the infrastructure layer for open AI development.

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Follow Clem on X: @ClementDelangue

Follow Theo on X: @theojaffee

Follow Sofia on X: @schisofrenia

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