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The Threat of AI Regulation with Brian Chau

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Sisällön tarjoaa CSPI. CSPI tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

Brian Chau writes and hosts a podcast at the From the New World Substack, and recently established a new think tank, the Alliance for the Future.

He joins the podcast to discuss why he’s not worried about the alignment problem, where he disagrees with “doomers,” the accomplishments of ChatGPT versus DALL-E, the dangers of regulating AI until progress comes to a halt in the way it did with nuclear power, and more. With his background in computer science, Brian takes issue with many of those who write on this topic, arguing that they think in terms of flawed analogies and know little about the underlying technology. The conversation touches on a previous CSPI discussion with Leopold Aschenbrenner, and the value of continuing to work on alignment.

Brian’s view is that AI doomers are making people needlessly pessimistic. He believes that this technology has the potential to do great things for humanity, particularly when it comes to areas like software development and biotech. But the post-World War II era has seen many examples of government hindering progress, and AFF is dedicated to stopping that from happening with artificial intelligence.

Listen to the conversation here, or watch the video here.

Links

Donate to AFF

AFF manifesto

Brian on diminishing returns to machine learning, and discussing AI with Marc Andreessen

Vaswani et al. on transformers

Limits of current machine learning techniques


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.cspicenter.com
  continue reading

71 jaksoa

Artwork
iconJaa
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on December 17, 2024 15:49 (23d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 407148034 series 2853093
Sisällön tarjoaa CSPI. CSPI tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

Brian Chau writes and hosts a podcast at the From the New World Substack, and recently established a new think tank, the Alliance for the Future.

He joins the podcast to discuss why he’s not worried about the alignment problem, where he disagrees with “doomers,” the accomplishments of ChatGPT versus DALL-E, the dangers of regulating AI until progress comes to a halt in the way it did with nuclear power, and more. With his background in computer science, Brian takes issue with many of those who write on this topic, arguing that they think in terms of flawed analogies and know little about the underlying technology. The conversation touches on a previous CSPI discussion with Leopold Aschenbrenner, and the value of continuing to work on alignment.

Brian’s view is that AI doomers are making people needlessly pessimistic. He believes that this technology has the potential to do great things for humanity, particularly when it comes to areas like software development and biotech. But the post-World War II era has seen many examples of government hindering progress, and AFF is dedicated to stopping that from happening with artificial intelligence.

Listen to the conversation here, or watch the video here.

Links

Donate to AFF

AFF manifesto

Brian on diminishing returns to machine learning, and discussing AI with Marc Andreessen

Vaswani et al. on transformers

Limits of current machine learning techniques


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.cspicenter.com
  continue reading

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