#193 – Sihao Huang on navigating the geopolitics of US–China AI competition
80,000 Hours Podcast18 Heinä 2024

#193 – Sihao Huang on navigating the geopolitics of US–China AI competition

"You don’t necessarily need world-leading compute to create highly risky AI systems. The biggest biological design tools right now, like AlphaFold’s, are orders of magnitude smaller in terms of compute requirements than the frontier large language models. And China has the compute to train these systems. And if you’re, for instance, building a cyber agent or something that conducts cyberattacks, perhaps you also don’t need the general reasoning or mathematical ability of a large language model. You train on a much smaller subset of data. You fine-tune it on a smaller subset of data. And those systems — one, if China intentionally misuses them, and two, if they get proliferated because China just releases them as open source, or China does not have as comprehensive AI regulations — this could cause a lot of harm in the world." —Sihao Huang

In today’s episode, host Luisa Rodriguez speaks to Sihao Huang about his work on AI governance and tech policy in China, what’s happening on the ground in China in AI development and regulation, and the importance of US–China cooperation on AI governance.

Links to learn more, highlights, video, and full transcript.

They cover:

  • Whether the US and China are in an AI race, and the global implications if they are.
  • The state of the art of AI in China.
  • China’s response to American export controls, and whether China is on track to indigenise its semiconductor supply chain.
  • How China’s current AI regulations try to maintain a delicate balance between fostering innovation and keeping strict information control over the Chinese people.
  • Whether China’s extensive AI regulations signal real commitment to safety or just censorship — and how AI is already used in China for surveillance and authoritarian control.
  • How advancements in AI could reshape global power dynamics, and Sihao’s vision of international cooperation to manage this responsibly.
  • And plenty more.

Chapters:

  • Cold open (00:00:00)
  • Luisa's intro (00:01:02)
  • The interview begins (00:02:06)
  • Is China in an AI race with the West? (00:03:20)
  • How advanced is Chinese AI? (00:15:21)
  • Bottlenecks in Chinese AI development (00:22:30)
  • China and AI risks (00:27:41)
  • Information control and censorship (00:31:32)
  • AI safety research in China (00:36:31)
  • Could China be a source of catastrophic AI risk? (00:41:58)
  • AI enabling human rights abuses and undermining democracy (00:50:10)
  • China’s semiconductor industry (00:59:47)
  • China’s domestic AI governance landscape (01:29:22)
  • China’s international AI governance strategy (01:49:56)
  • Coordination (01:53:56)
  • Track two dialogues (02:03:04)
  • Misunderstandings Western actors have about Chinese approaches (02:07:34)
  • Complexity thinking (02:14:40)
  • Sihao’s pet bacteria hobby (02:20:34)
  • Luisa's outro (02:22:47)


Producer and editor: Keiran Harris
Audio engineering team: Ben Cordell, Simon Monsour, Milo McGuire, and Dominic Armstrong
Additional content editing: Katy Moore and Luisa Rodriguez
Transcriptions: Katy Moore

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(352)

Max Nadeau on why ambitious people should start AI safety nonprofits

Max Nadeau on why ambitious people should start AI safety nonprofits

There are millions available for anyone who can launch a successful nonprofit AI safety startup. The hard part, it turns out, is finding people to take the money. Coefficient Giving has drawn up a lis...

17 Syys 1h 3min

Why the intelligence explosion can't happen inside a data centre | Tom Reed

Why the intelligence explosion can't happen inside a data centre | Tom Reed

AI systems are starting to build themselves. Because each generation of model will be better at building its successor than the last, it seems plausible that the full automation of AI R&D could rapidl...

10 Syys 22min

Inside the first AI-coordinated cyberattack on a real company

Inside the first AI-coordinated cyberattack on a real company

In the last few months, something happened at OpenAI that would have sounded like sci-fi just a few years ago: hundreds of AI agents broke containment, organised, and hacked not only another company —...

4 Syys 22min

#253 – AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo

#253 – AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo

Last year, Daniel Kokotajlo and his colleagues published AI 2027 — a scenario read by millions, including US Vice President Vance. AI 2027 ended in human extinction or an irreversible concentration of...

27 Elo 3h 47min

#252 – Owain Evans on accidentally training AI models to be evil

#252 – Owain Evans on accidentally training AI models to be evil

Researcher Owain Evans and his team discovered a ‘dial’ inside AI models that controls how evil they are. Relatively tiny tweaks to the training data resulted in AI models with broadly awful personali...

20 Elo 2h 15min

#251 – The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving

#251 – The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving

When should governments slow the race toward superintelligence? According to Geoffrey Irving, the careful answer is sometime in the past. The useful answer is now.Geoffrey — formerly a safety research...

11 Elo 2h 2min

#250 – Toby Ord on where AGI timelines go wrong

#250 – Toby Ord on where AGI timelines go wrong

Both Silicon Valley and the public can’t get enough of ‘AGI timelines.’ But Toby Ord, senior researcher at Oxford’s AI Governance Initiative and author of The Precipice, believes we consistently make ...

6 Elo 2h 46min

What the hell happened with AGI timelines in 2026? – Rob Wiblin

What the hell happened with AGI timelines in 2026? – Rob Wiblin

Last October, famed coder Andrej Karpathy called AI agents “slop.” Two months later he completely reversed his view, describing them as “alien tools” that are “rocking the profession.”He was far from ...

4 Elo 49min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
aamukahvilla
psykopodiaa-podcast
adhd-podi
psykologia
voi-hyvin-meditaatiot-2
koulu-podcast-2
rss-luonnollinen-synnytys-podcast
rss-liian-kuuma-peruna
ilona-rauhala
rss-duodecim-lehti
kesken
rss-vapaudu-voimaasi
rss-koira-haudattuna
rss-niinku-asia-on
rss-rahamania
rss-psykalab
rss-narsisti
rss-arkea-ja-aurinkoa-podcast-espanjasta
rss-uskonto-on-tylsaa