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Are we ready for human-level AI by 2030? Anthropic's co-founder answers

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Manage episode 474641620 series 2498265
Content provided by EPIIPLUS 1 Ltd / Azeem Azhar and Azeem Azhar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EPIIPLUS 1 Ltd / Azeem Azhar and Azeem Azhar 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://ppacc.player.fm/legal.

Anthropic's co-founder and chief scientist Jared Kaplan discusses AI's rapid evolution, the shorter-than-expected timeline to human-level AI, and how Claude's "thinking time" feature represents a new frontier in AI reasoning capabilities.

In this episode you'll hear:

  • Why Jared believes human-level AI is now likely to arrive in 2-3 years instead of by 2030
  • How AI models are developing the ability to handle increasingly complex tasks that would take humans hours or days
  • The importance of constitutional AI and interpretability research as essential guardrails for increasingly powerful systems

Our new show

This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET on Exponential View. You can tune in through my Substack linked below. The format is experimental and we'd love your feedback, so feel free to comment or email your thoughts to our team at [email protected].

Timestamps:

(00:00) Episode trailer

(01:27) Jared's updated prediction for reaching human-level intelligence

(08:12) What will limit scaling laws?

(11:13) How long will we wait between model generations?

(16:27) Why test-time scaling is a big deal

(21:59) There’s no reason why DeepSeek can’t be competitive algorithmically

(25:31) Has Anthropic changed their approach to safety vs speed?

(30:08) Managing the paradoxes of AI progress

(32:21) Can interpretability and monitoring really keep AI safe?

(39:43) Are model incentives misaligned with public interests?

(42:36) How should we prepare for electricity-level impact?

(51:15) What Jared is most excited about in the next 12 months

Jared's links:

Azeem's links:

Produced by supermix.io

  continue reading

195 episodes

Artwork
iconShare
 
Manage episode 474641620 series 2498265
Content provided by EPIIPLUS 1 Ltd / Azeem Azhar and Azeem Azhar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EPIIPLUS 1 Ltd / Azeem Azhar and Azeem Azhar 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://ppacc.player.fm/legal.

Anthropic's co-founder and chief scientist Jared Kaplan discusses AI's rapid evolution, the shorter-than-expected timeline to human-level AI, and how Claude's "thinking time" feature represents a new frontier in AI reasoning capabilities.

In this episode you'll hear:

  • Why Jared believes human-level AI is now likely to arrive in 2-3 years instead of by 2030
  • How AI models are developing the ability to handle increasingly complex tasks that would take humans hours or days
  • The importance of constitutional AI and interpretability research as essential guardrails for increasingly powerful systems

Our new show

This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET on Exponential View. You can tune in through my Substack linked below. The format is experimental and we'd love your feedback, so feel free to comment or email your thoughts to our team at [email protected].

Timestamps:

(00:00) Episode trailer

(01:27) Jared's updated prediction for reaching human-level intelligence

(08:12) What will limit scaling laws?

(11:13) How long will we wait between model generations?

(16:27) Why test-time scaling is a big deal

(21:59) There’s no reason why DeepSeek can’t be competitive algorithmically

(25:31) Has Anthropic changed their approach to safety vs speed?

(30:08) Managing the paradoxes of AI progress

(32:21) Can interpretability and monitoring really keep AI safe?

(39:43) Are model incentives misaligned with public interests?

(42:36) How should we prepare for electricity-level impact?

(51:15) What Jared is most excited about in the next 12 months

Jared's links:

Azeem's links:

Produced by supermix.io

  continue reading

195 episodes

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