Podcast: China's new AI wave: open source, agents, innovation

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Watch or listen to the High Capacity podcast on:YouTubeApple PodcastsSpotifyIn this episode, I speak with Tom Wang, head of APAC ecosystem at Hugging Face. We talk about China’s latest wave of AI models, areas where Chinese AI labs are pushing forward, the rise of agents and OpenClaw, and what’s next for Chinese open source AI.Links:Tom Wang on Twitter / XTom Wang on Hugging FaceTranscriptKyle Chan (00:00)Welcome to the High Capacity Podcast. I’m your host, Kyle Chan, a fellow at Brookings. I’m thrilled to be joined today by my guest, Tom Wang, Head of Asia-Pacific Ecosystems at Hugging Face, which is the global platform for open-source AI. Welcome, Tom, and thanks for coming on the show.Tom (00:19)Thanks for the introduction. Hello, everyone. It’s my pleasure to be part of the podcast and share some of my thoughts with you.Kyle Chan (00:28)Great. I thought maybe we could start off by talking about what you do at Hugging Face. Maybe you can help describe what Hugging Face is, what your role is with the Asia-Pacific ecosystem, and how that gives you a special view into what’s happening in China’s open-source AI landscape.Tom (00:52)Yeah, for sure. For a very quick introduction to Hugging Face, you can think of it as the GitHub for AI. So instead of storing files and source code, we’re a hub for all the AI models, all the weights, and all the datasets. We also have a bunch of AI demos. We call them Hugging Face Spaces, so that you can try out all the SOTA models without actually having to download the models to your local hardware and run them on very expensive GPUs.So basica…