China

21 statements across 14 episodes · 8 bullish · 5 bearish · 14 people on the record · first statement Jun 19, 2015 by Spencer Kimball · said 203 times in 49 episodes since 2013 · across every show →

Mentions by year

brought up most by Matt Turck (62), Dylan Patel (24), Ryan Greenblatt (15), Clement Delangue (10), Spencer Kimball (6), Nathan Benaich (5), Matt Ocko (5), Sarah Guo (4)

tap a year for its mentions
007581501520132014201520162017201820192020202120222023202420252026episodesmentions
081520132014201520162017201820192020202120222023202420252026episodes it came up in
0057.5101520132014201520162017201820192020202120222023202420252026episodesmentions per episode
2026 103 mentions in 11 episodes 9 per episode
2025 10 mentions in 4 episodes 3 per episode
2024 22 mentions in 4 episodes 6 per episode
2023 7 mentions in 3 episodes 2 per episode
2021 12 mentions in 4 episodes 3 per episode
2020 1 mention in 1 episode
2019 6 mentions in 2 episodes 3 per episode
2018 6 mentions in 3 episodes 2 per episode
2017 9 mentions in 3 episodes 3 per episode
2016 3 mentions in 2 episodes 2 per episode
2015 4 mentions in 2 episodes 2 per episode
2014 9 mentions in 4 episodes 2 per episode
2013 11 mentions in 6 episodes 2 per episode

every mention, scene by scene, with the transcript →

Everything said about China, oldest first

Jun 19, 2015 positive
Assertion Not checkable as stated
CockroachDB has open-source contributors from the US government and China
“We actually have you know open source contributors, like a whole team of 10 people from China, for example, And, ah, you know, some people from the US government because, ah, you know, they're so interested in it.”
Spencer Kimball Jun 19, 2015 ▶ 19:15 Spencer Kimball, Cockroach Labs // A New Kind of Database (Hosted by FirstMark Capital)
Sep 30, 2016
Assertion Not checkable as stated
Uber deployed trip similarity algorithms to fight incentive fraud in China
“Uber used to run this incentive program in China, and, ah, people are trying to game it, so they used to always have, like, similar trips simulated From their, ah, various different devices. So what we did was actually, like, try to find an algorithm where we …”
Praveen Murugesan Sep 30, 2016 ▶ 12:31 The Uber Big Data Story // Praveen Murugesan, Uber (Data Driven NYC / FirstMark)
Nov 20, 2017
Prediction Not checkable as stated
Hoffman: China may lead in healthcare machine learning due to data regulations
“And so we could see, it's very possible we could see more machine learning innovations, or at least in certain areas, Like maybe in healthcare, for instance. We might see more machine learning innovations that happen in China than happen in, in other places.”
Auren Hoffman Nov 20, 2017 ▶ 21:25 Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
Sep 17, 2019 negative
Assertion Not checkable as stated
Guo: B2B software has not been a profitable industry in China
“B to B software has not actually been very profitable a industry in China so far.”
Sarah Guo Sep 17, 2019 ▶ 24:20 Fireside Chat: Sarah Guo, General Partner at Greylock (FirstMark's Data Driven NYC)
Jul 2, 2024 neutral
Assertion Supported
AI optimism is 70% in China and India, 30% in US/UK
“Where 70% of people in China and India are optimistic. Only 30% optimistic about these topics in the UK and the US. They actually explicitly want to have less AI.”
Azeem Azhar Jul 2, 2024 ▶ 32:05 From Business to Warfare: How AI Affects the Modern World | Azeem Azhar
Oct 17, 2024 positive
Assertion Not checkable as stated
Delangue: China is likely the current leader in open-source AI
“China has been publishing much more open source AI lately. I would argue that they're probably the leader today of open source AI which is surprising to some, but for example, in, in video, they've been leading in, in open source AI.”
Clement Delangue Oct 17, 2024 ▶ 15:34 The $4.5B Platform Driving the Open Source AI Revolution | Clem Delangue, CEO, Hugging Face
Nov 14, 2024 positive
Assertion Supported
Chinese AI labs like DeepSeek and Alibaba perform strongly on benchmarks
“China was kind of not in this fight, like, 12 months ago, and now is very much in it. Like, their models like Alibaba's Quen and then this spin out from a quantitative hedge fund DeepSeek, which publishes code models and others, and they've been actually a ver…”
Nathan Benaich Nov 14, 2024 ▶ 10:26 State of AI 2024: Frontier Models, AI Geopolitics, Robotics | Nathan Benaich, Air Street Capital
May 15, 2025 bearish
Prediction Not checkable as stated
Howard: Closed US AI ecosystems will cause China to move faster
“Whereas, oddly, the US companies that used to lead the way have all drawn up the drawbridges, and that's gonna cause China to keep moving faster, because when you're in that more, both collaborative and competitive environment, you just Go way ahead, as we've …”
Jeremy Howard May 15, 2025 ▶ 4:02 Jeremy Howard on Building 5,000 AI Products with 14 People (Answer AI Deep-Dive)
Nov 20, 2025 negative
Assertion Not checkable as stated
Lambert: Chinese companies with $1B+ valuations routinely pirate SaaS software
“Mediumly large, like billion dollar plus valuation companies in China will just like pirate SaaS software.”
Nathan Lambert Nov 20, 2025 ▶ 18:47 Open Source AI Strikes Back — Inside Ai2’s OLMo 3 ‘Thinking"
Feb 5, 2026 bullish
Prediction Not checkable as stated
Patel: China will narrow its lithography gap to five years shortly
“Their lithography is like 10 years behind and I think it'll be five years behind in a couple of years, right?”
Dylan Patel Feb 5, 2026 ▶ 32:58 Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
Feb 5, 2026
Prediction Not checkable as stated
Patel: Without AI leadership, China will overtake the US as hegemon
“But without AI, China definitely will rise to be the global hegemony. They're just gonna outrun America.”
Dylan Patel Feb 5, 2026 ▶ 40:51 Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
Feb 5, 2026
Assertion Supported
China missed its 2020 and 2025 domestic semiconductor production targets
“So in 2015, they made these five-year plans for two, 20 20 and 20 20 five, where they set the percentage of semiconductors they wanted domestically produced. And they've missed the goal both times.”
Dylan Patel Feb 5, 2026 ▶ 23:48 Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
Feb 5, 2026 negative
Assertion Supported
Patel: Huawei used shell companies to procure TSMC chips and Korean HBM
“Well, actually they were using shell companies to get chips from TSMC and using Different methods of like sneaking HBM, which is memory from, you know, Korea through Taiwan to China, right?”
Dylan Patel Feb 5, 2026 ▶ 37:32 Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
Feb 5, 2026
Assertion Supported
Patel: Chinese TV dramas feature semiconductor fab and solar cell researchers
“There are dramas where people fall in love in the fab or dramas where people fall in love and they're photovoltaic, like solar cell researchers and engineers.”
Dylan Patel Feb 5, 2026 ▶ 26:15 Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
Feb 5, 2026 positive
Assertion Not checkable as stated
Patel: China currently has the world's most vertically integrated semiconductor stack
“China has the most vertical stack and semiconductors today.”
Dylan Patel Feb 5, 2026 ▶ 30:40 Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
Jul 2, 2026 positive
Opinion
Catanzaro: Chinese AI achievements are not driven by a copycat mentality
“I think it's absolutely false to say that you know the achievements of some other country are all being created by sort of, you know, copycat mentality. It's just not true.”
Bryan Catanzaro Jul 2, 2026 ▶ 8:53 Inside Nemotron & NVIDIA’s AI Lab | Bryan Catanzaro
Jul 2, 2026 positive
Opinion
Catanzaro: China has been leading in open community-oriented AI development
“I think there's a chance for the rest of the world to catch up to China in the sense that you know, we can understand the benefits of working together as a community to build technologies for AI in a way that I think China has frankly been leading.”
Bryan Catanzaro Jul 2, 2026 ▶ 10:14 Inside Nemotron & NVIDIA’s AI Lab | Bryan Catanzaro
Jul 23, 2026 negative
Opinion
Feldman: Chinese open-source AI models trail GPT, Anthropic, and Gemini
“They are behind in chips. But their approach was at the next level is open source models where they're producing some extraordinary models. Not as good as GPT or Anthropic or Google's Gemini, but very good.”
Andrew Feldman Jul 23, 2026 ▶ 12:59 Cerebras CEO: Why GPUs Can't Do Fast Inference
Aug 27, 2026 neutral
Disclosure
US could use cyber sabotage to slow Chinese AI progress
“Plan B is the branch where we try to, where the U.S. Tries to slow down China. Where the most obvious mechanisms would be things like export controls, but potentially they could get more escalatory than that. Meaning sabotage. Yeah, sabotage like, yeah, like c…”
Ryan Greenblatt Aug 27, 2026 ▶ 35:37 AI Could Take Over in 2029. Is It Already Too Late?
Aug 27, 2026 neutral
Insight
Frontier AI safety coordination requires slowing down China
“And then I think another aspect of this is specifically doing this in a way where part of the story is either slowing down China or cutting a deal with China such that China doesn't overtake and, you know, break this whole proposal.”
Ryan Greenblatt Aug 27, 2026 ▶ 4:54 AI Could Take Over in 2029. Is It Already Too Late?
Sep 10, 2026 bullish
Prediction Not checkable as stated
Socher: Singapore or China probably more likely to adopt AI economic modeling
“My hunch is like Singapore or China will probably be more likely to try to use those ideas. Say, hey, we all agree, or we at least make it very clear that this is our objective function. And then, you know, we're going to really try our best to set the various…”
Richard Socher Sep 10, 2026 ▶ 52:02 When AI Improves Itself | Richard Socher (Recursive)
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.