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#177 – Nathan Labenz on recent AI breakthroughs and navigating the growing rift between AI safety and accelerationist camps

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Inhalt bereitgestellt von The 80,000 Hours Podcast, The 80, and 000 Hours team. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von The 80,000 Hours Podcast, The 80, and 000 Hours team oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Back in December we spoke with Nathan Labenz — AI entrepreneur and host of The Cognitive Revolution Podcast — about the speed of progress towards AGI and OpenAI's leadership drama, drawing on Nathan's alarming experience red-teaming an early version of GPT-4 and resulting conversations with OpenAI staff and board members.

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

Today we go deeper, diving into:

  • What AI now actually can and can’t do, across language and visual models, medicine, scientific research, self-driving cars, robotics, weapons — and what the next big breakthrough might be.
  • Why most people, including most listeners, probably don’t know and can’t keep up with the new capabilities and wild results coming out across so many AI applications — and what we should do about that.
  • How we need to learn to talk about AI more productively, particularly addressing the growing chasm between those concerned about AI risks and those who want to see progress accelerate, which may be counterproductive for everyone.
  • Where Nathan agrees with and departs from the views of ‘AI scaling accelerationists.’
  • The chances that anti-regulation rhetoric from some AI entrepreneurs backfires.
  • How governments could (and already do) abuse AI tools like facial recognition, and how militarisation of AI is progressing.
  • Preparing for coming societal impacts and potential disruption from AI.
  • Practical ways that curious listeners can try to stay abreast of everything that’s going on.
  • And plenty more.

Producer and editor: Keiran Harris
Audio Engineering Lead: Ben Cordell
Technical editing: Simon Monsour and Milo McGuire
Transcriptions: Katy Moore

  continue reading

252 Episoden

Artwork
iconTeilen
 
Manage episode 397438796 series 1531348
Inhalt bereitgestellt von The 80,000 Hours Podcast, The 80, and 000 Hours team. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von The 80,000 Hours Podcast, The 80, and 000 Hours team oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Back in December we spoke with Nathan Labenz — AI entrepreneur and host of The Cognitive Revolution Podcast — about the speed of progress towards AGI and OpenAI's leadership drama, drawing on Nathan's alarming experience red-teaming an early version of GPT-4 and resulting conversations with OpenAI staff and board members.

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

Today we go deeper, diving into:

  • What AI now actually can and can’t do, across language and visual models, medicine, scientific research, self-driving cars, robotics, weapons — and what the next big breakthrough might be.
  • Why most people, including most listeners, probably don’t know and can’t keep up with the new capabilities and wild results coming out across so many AI applications — and what we should do about that.
  • How we need to learn to talk about AI more productively, particularly addressing the growing chasm between those concerned about AI risks and those who want to see progress accelerate, which may be counterproductive for everyone.
  • Where Nathan agrees with and departs from the views of ‘AI scaling accelerationists.’
  • The chances that anti-regulation rhetoric from some AI entrepreneurs backfires.
  • How governments could (and already do) abuse AI tools like facial recognition, and how militarisation of AI is progressing.
  • Preparing for coming societal impacts and potential disruption from AI.
  • Practical ways that curious listeners can try to stay abreast of everything that’s going on.
  • And plenty more.

Producer and editor: Keiran Harris
Audio Engineering Lead: Ben Cordell
Technical editing: Simon Monsour and Milo McGuire
Transcriptions: Katy Moore

  continue reading

252 Episoden

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