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Azeem Azhar: The Exponential View

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Manage episode 417347138 series 2975159
Content provided by The Gradient. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Gradient or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Episode 122

I spoke with Azeem Azhar about:

* The speed of progress in AI

* Historical context for some of the terminology we use and how we think about technology

* What we might want our future to look like

Azeem is an entrepreneur, investor, and adviser. He is the creator of Exponential View, a global platform for in-depth technology analysis, and the host of the Bloomberg Original series Exponentially.

Reach me at editor@thegradient.pub for feedback, ideas, guest suggestions.

Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (00:32) Ad read — MLOps conference

* (01:05) Problematizing the term “exponential”

* (07:35) Moore’s Law as social contract, speed of technological growth and impedances

* (14:45) Academic incentives, interdisciplinary work, rational agents and historical context

* (21:24) Monolithic scaling

* (26:38) Investment in scaling

* (31:22) On Sam Altman

* (36:25) Uses of “AGI,” “intelligence”

* (41:32) Historical context for terminology

* (48:58) AI and teaching

* (53:51) On the technology-human divide

* (1:06:26) New technologies and the futures we want

* (1:10:50) Inevitability narratives

* (1:17:01) Rationality and objectivity

* (1:21:13) Cultural affordances and intellectual history

* (1:26:15) Centralized and decentralized AI systems

* (1:32:54) Instruction tuning and helpful/honest/harmless

* (1:39:18) Azeem’s future outlook

* (1:46:15) Outro

Links:

* Azeem’s website and Twitter

* Exponential View


Get full access to The Gradient at thegradientpub.substack.com/subscribe
  continue reading

130 episodes

Artwork
iconShare
 
Manage episode 417347138 series 2975159
Content provided by The Gradient. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Gradient or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Episode 122

I spoke with Azeem Azhar about:

* The speed of progress in AI

* Historical context for some of the terminology we use and how we think about technology

* What we might want our future to look like

Azeem is an entrepreneur, investor, and adviser. He is the creator of Exponential View, a global platform for in-depth technology analysis, and the host of the Bloomberg Original series Exponentially.

Reach me at editor@thegradient.pub for feedback, ideas, guest suggestions.

Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (00:32) Ad read — MLOps conference

* (01:05) Problematizing the term “exponential”

* (07:35) Moore’s Law as social contract, speed of technological growth and impedances

* (14:45) Academic incentives, interdisciplinary work, rational agents and historical context

* (21:24) Monolithic scaling

* (26:38) Investment in scaling

* (31:22) On Sam Altman

* (36:25) Uses of “AGI,” “intelligence”

* (41:32) Historical context for terminology

* (48:58) AI and teaching

* (53:51) On the technology-human divide

* (1:06:26) New technologies and the futures we want

* (1:10:50) Inevitability narratives

* (1:17:01) Rationality and objectivity

* (1:21:13) Cultural affordances and intellectual history

* (1:26:15) Centralized and decentralized AI systems

* (1:32:54) Instruction tuning and helpful/honest/harmless

* (1:39:18) Azeem’s future outlook

* (1:46:15) Outro

Links:

* Azeem’s website and Twitter

* Exponential View


Get full access to The Gradient at thegradientpub.substack.com/subscribe
  continue reading

130 episodes

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