The US is losing its lead in AI
Episode
34 min
Read time
2 min
Topics
Fundraising & VC, Leadership, Artificial Intelligence
AI-Generated Summary
Key Takeaways
- ✓China's AI timeline: The "six months behind" benchmark that once described China's lag behind US frontier models now represents the maximum possible gap, not the average. For everyday consumer-facing models, Chinese labs are either already at parity or will reach it within weeks. Businesses evaluating AI vendors should factor Chinese alternatives into procurement decisions immediately.
- ✓Distillation as competitive shortcut: Chinese firms DeepSeek, Moonshot AI, and MiniMax collectively generated approximately 16 million fraudulent exchanges with Anthropic's Claude to extract training data. This technique — feeding a target model mass queries and using responses to train a rival system — allows resource-constrained teams to compress years of development into months without building foundational capabilities independently.
- ✓Chip export controls losing effectiveness: The core US strategy of restricting advanced semiconductor exports to slow China's AI development was undermined when DeepSeek produced a competitive frontier model using fewer and less advanced chips. Policymakers now face pressure to develop alternative containment strategies, as hardware restrictions alone cannot prevent Chinese labs from achieving model parity.
- ✓AI labs leveraging China threat for regulatory relief: US frontier labs — OpenAI, Anthropic, and Google DeepMind — are using China's AI advances as political leverage to resist domestic regulation. The Trump administration's executive orders explicitly prioritize speed over safety guardrails, and labs argue that any regulatory constraint risks ceding ground to Chinese competitors, a framing that has gained traction in Washington.
- ✓Open-source models creating enterprise pressure: Enterprise customers of major AI labs are actively evaluating open-source model alternatives to reduce costs, routing different query types to different models to save millions in API fees. If Chinese labs continue producing cheaper, efficient frontier-quality open-source models, US labs face simultaneous competitive pressure from abroad and customer defection at home.
What It Covers
The Vergecast examines the narrowing AI gap between the US and China, analyzing how Chinese firms like DeepSeek, Moonshot, and Alibaba have reached near-parity with Silicon Valley's frontier models, and what this means for US policy, tech regulation, and the competitive strategies of OpenAI, Anthropic, and Google.
Key Questions Answered
- •China's AI timeline: The "six months behind" benchmark that once described China's lag behind US frontier models now represents the maximum possible gap, not the average. For everyday consumer-facing models, Chinese labs are either already at parity or will reach it within weeks. Businesses evaluating AI vendors should factor Chinese alternatives into procurement decisions immediately.
- •Distillation as competitive shortcut: Chinese firms DeepSeek, Moonshot AI, and MiniMax collectively generated approximately 16 million fraudulent exchanges with Anthropic's Claude to extract training data. This technique — feeding a target model mass queries and using responses to train a rival system — allows resource-constrained teams to compress years of development into months without building foundational capabilities independently.
- •Chip export controls losing effectiveness: The core US strategy of restricting advanced semiconductor exports to slow China's AI development was undermined when DeepSeek produced a competitive frontier model using fewer and less advanced chips. Policymakers now face pressure to develop alternative containment strategies, as hardware restrictions alone cannot prevent Chinese labs from achieving model parity.
- •AI labs leveraging China threat for regulatory relief: US frontier labs — OpenAI, Anthropic, and Google DeepMind — are using China's AI advances as political leverage to resist domestic regulation. The Trump administration's executive orders explicitly prioritize speed over safety guardrails, and labs argue that any regulatory constraint risks ceding ground to Chinese competitors, a framing that has gained traction in Washington.
- •Open-source models creating enterprise pressure: Enterprise customers of major AI labs are actively evaluating open-source model alternatives to reduce costs, routing different query types to different models to save millions in API fees. If Chinese labs continue producing cheaper, efficient frontier-quality open-source models, US labs face simultaneous competitive pressure from abroad and customer defection at home.
Notable Moment
When asked whether Elon Musk's Grok distilled from OpenAI's models, Musk initially deflected before being compelled under oath to confirm it — then argued that distillation is standard industry practice, inadvertently validating the exact behavior US labs are lobbying Congress to criminalize.
Episode Transcript
Hello, and welcome to the Vergecast, the flagship podcast of the model wars. I'm your friend David Pierce. And today on the show, we're talking about the AI race ongoing between The US and China. For really the last several years, it's been pretty apparent that most of the best models and most of the most ambitious, most impressive AI has been coming out of Silicon Valley. Google, Anthropic, OpenAI, this this handful of companies has been really driving the AI revolution. But then, it has increasingly become clear that China is catching up quickly. We had a big moment a year and a half ago where DeepSeek all of a sudden showed up with a vastly more efficient vastly cheaper model that was almost as good as some of the Frontier stuff, and that became a big deal. Then just this past weekend, two different companies, Moonshot and Alibaba made very clear that they have built Frontier models that they believe to be just as important as anything else coming out of Silicon Valley. There is a race happening between The US and China to win at AI, whatever that means. It's becoming a huge tech story. It's becoming a huge policy story. And I wanna figure out what's gonna happen if and when China catches up and even passes what's happening in the labs in Silicon Valley. So that's what we're gonna talk about. Lauren Feiner and Hayden Field are gonna come. We're gonna do it. But first, here's everything else happening on The Verge today. This is ninety seconds on The Verge for Monday, 07/20/2026. The Odyssey is a huge hit. It made $264,100,000 worldwide this weekend, which is both Christopher Nolan's biggest opening ever and one of the biggest movies of the year so far. I haven't seen it yet. I'm hoping to wait for a 70 millimeter IMAX screening, but those are apparently sold out, like, forever. In general, this has been a big summer for the movies. You have obvious wins like Toy Story five to surprise breakouts like Obsession, both both great movies by the way, it's shaping up to be the best year for movies since before the pandemic, all the way back to 2019. And if going to the movies isn't dead after all, that might be really great news for Hollywood. And maybe bad news for the streaming services that we're pretty sure they'd already won this war. Meanwhile, the European Commission just levied its biggest fine ever against the platform AliExpress for failing to prevent illegal, unsafe, or counterfeit products being sold on the platform. Honestly, if you've ever been on AliExpress, none of that should surprise you. The commission specifically mentioned things like unsafe toys and dangerous cosmetics and said that AliExpress has until October to come up with a plan to fix it. Timoo got a similar fine for similar reasons this year. I don't know if the end of these ultra cheap relatively unmoderated shopping platforms …
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by Anthropic
“Chinese firms DeepSeek, Moonshot AI, and MiniMax collectively generated approximately 16 million fraudulent exchanges with Anthropic's Claude to extract training data”
“When asked whether Elon Musk's Grok distilled from OpenAI's models, Musk initially deflected before being compelled under oath to confirm it”
company
“Chinese firms like DeepSeek, Moonshot, and Alibaba have reached near-parity with Silicon Valley's frontier models”
“Chinese firms DeepSeek, Moonshot AI, and MiniMax collectively generated approximately 16 million fraudulent exchanges with Anthropic's Claude”
“Chinese firms like DeepSeek, Moonshot, and Alibaba have reached near-parity with Silicon Valley's frontier models”
“Chinese firms DeepSeek, Moonshot AI, and MiniMax collectively generated approximately 16 million fraudulent exchanges with Anthropic's Claude”
“US frontier labs — OpenAI, Anthropic, and Google DeepMind — are using China's AI advances as political leverage”
“US frontier labs — OpenAI, Anthropic, and Google DeepMind — are using China's AI advances as political leverage”
“US frontier labs — OpenAI, Anthropic, and Google DeepMind — are using China's AI advances as political leverage”
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