Subvolts take See Anthropic's Fable model in action, from safety to coding and beyond. Jun 13, 2026
For you
Developers
Learn about Fable's real-world applications in coding and safety, and hear field reports on agents and interpretability.
Business
Understand how advanced AI models like Fable are being integrated into workflows and discuss potential impacts on legal reasoning.
Hype note
3/5Notable

This episode provides a solid roundup of recent AI developments and research discussions from a leading lab.

AI in the AM — Week 2 Highlights (June 2026)

1 h 45 Hosts: Nathan Labenz
0:001:44:47

Audio streams from Erik Torenberg, Nathan Labenz. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

This episode of The Cognitive Revolution features Nathan Labenz discussing Anthropic's Fable launch and its real-world applications. Topics include safety, autonomous coding, 3D world-building, and a Twitter experiment. Guests Geoffrey Irving and Daniel Murfet discuss alignment theory, while others share field reports on data agents, interpretability, and token economics. Mercury, a financial tool, is also featured.

Explained simply

This episode covers how Anthropic's new AI, Fable, is being used in real jobs, like making sure AI is safe and helping write computer code. It also explores new ideas for making AI smarter and more reliable.

Why listen

This episode offers a practical look at Anthropic's Fable model in action, moving beyond theoretical discussions to real workflows. It's for AI researchers, developers, and business leaders interested in the latest advancements in model safety, autonomous systems, and specialized AI applications. The discussions on alignment theory and field reports connect directly to current industry efforts in building more reliable and capable AI systems, mirroring the broader AI race.

On the mic
  • HostNathan Labenz
  • GuestGeoffrey Irving
  • GuestDaniel Murfet
  • GuestRahul Sonwalkar
  • GuestShlok Khemani
  • GuestTom McGrath
  • GuestAndrew Moore
  • GuestNate Jones
  • GuestKarina Nguyen
About
Key facts
  • Episode Title: AI in the AM — Week 2 Highlights (June 2026)
  • Show: The Cognitive Revolution
  • Length: 105 minutes
  • Featured Model: Claude Fable 5
  • Key Discussion Point: Alignment theory and guarantees before recursive self-improvement
Show notes from Erik Torenberg, Nathan Labenz

Week 2 highlights follows Anthropic’s Fable launch in real workflows, from safety gates and API refusals to autonomous coding, 3D world-building, and a Claude-run Twitter experiment. Geoffrey Irving and Daniel Murfet argue for alignment theory and guarantees before recursive self-improvement, while prinz tests Fable on legal reasoning and monitoring. Rahul Sonwalkar, Shlok Khemani, Tom McGrath, and Andrew Moore add field reports on data agents, hybrid authorship, interpretability, context systems, token economics, and power concentration.



Mercury: Run your finances with virtual cards, spending limits, merchant/category locks, and AI-friendly tools like API keys, MCP, and CLI. Check out Mercury at https://mercury.com



LINKS:

Jargon decoded
recursive self-improvement
AI researchers
AI systems that can improve themselves over time
alignment theory
AI safety researchers
Ensuring AI goals match human values
token economics
AI developers
How the cost and use of AI processing units (tokens) affect AI development and deployment
Published
Show
The Cognitive Revolution · Erik Torenberg, Nathan Labenz
Length
1 h 45
Companies
Anthropic
Products
Claude Fable 5, Claude
Summary by
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Same guests, other shows

Questions people ask

What are the real-world applications of Anthropic's Fable model discussed?
The episode covers Fable's use in safety gates, API refusals, autonomous coding, 3D world-building, and a Twitter experiment.
What is the focus of the discussion on alignment theory?
Geoffrey Irving and Daniel Murfet argue for alignment theory and guarantees before recursive self-improvement.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Erik Torenberg, Nathan Labenz.