
How China Caught U.S. AI — With Grace Shao
Grace Shao is the author of AI Proem. Shao joins Big Technology Podcast to discuss how Chinese AI labs have caught their American rivals despite operating with less advanced computing infrastructure. Tune in to hear how talent, specialization, open-source collaboration, and fierce competition helped models like Kimi K3 approach the U.S. frontier, and what that means for OpenAI, Anthropic, and the business of selling intelligence. We also cover model distillation, China’s compute constraints, the growing importance of AI products, why top researchers are returning to China, and the country’s emerging robotics advantage. Hit play for a clea...
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resources at its disposal? And what does it mean if USA iLabs permanently lose their lead
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Is this episode right for you?
B2 · Upper-intermediate
Comfortable if you already follow TV news
- 78% of the words are B1 or easier.
- 182 words a minute: natural, fairly fast speech.
- 291 harder words (B2 and up) in the whole episode.
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The opening of the episode. The whole transcript is in the player.
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How does China keep catching up to the U.S. in AI despite having much fewer state-of-the-art resources at its disposal? And what does it mean if USA iLabs permanently lose their lead to China? We'll talk about it with a leading China analyst, Grace Shao, right after this. In the face of ongoing disruption and opportunity, TMT leaders need to deliver tangible results,
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For more information, visit pwc.com. Welcome to Big Technology Podcast, a show for cool-headed and nuanced conversation of the tech world and beyond. Today we're going to talk all about China's rise in AI, which is really now a multi-year phenomenon, and whether the United States can maintain any semblance of a lead over China
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