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

2:47:09
 
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Manage episode 397438796 series 1531348
The 80000 Hours Podcast and The 80000 Hours team에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The 80000 Hours Podcast and The 80000 Hours team 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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

309 에피소드

Artwork
icon공유
 
Manage episode 397438796 series 1531348
The 80000 Hours Podcast and The 80000 Hours team에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The 80000 Hours Podcast and The 80000 Hours team 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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

309 에피소드

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