"The Cognitive Revolution"

Joel Predd, Ben Boudreaux, and Matt Chessen of RAND's Center for the Geopolitics of AGI join Nathan to discuss their framework for maintaining freedom of action on the path to superintelligence. Analyzing seven strategic archetypes—including dominance, deterrence, co-development, and moratoriums—they argue that deep technological and geopolitical uncertainty makes defaulting to any single strategy dangerous. To avoid foreclosing critical options, their proposed approach calls for investing in long-lead capabilities like model verification, containment, agency evaluations, and an adaptable security architecture. At stake are decisive economic and military advantage, stable competition with rivals like China, and humanity's survival with agency.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/freedom-of-action-america-s-asi-strategy-w-rand-s-joel-predd-ben-boudreaux-matt-chessen/

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OutSystems: OutSystems is the leading agentic systems platform that enables enterprises to engineer, orchestrate, and govern AI applications on a single unified platform. Learn more and see how it works at https://outsystems.com/tcr

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CHAPTERS:

(00:00) About the Episode

(05:21) Sponsor: Lovable

(07:05) Taking superintelligence seriously

(12:54) Seven strategy archetypes (Part 1)

(19:18) Sponsors: Claude | OutSystems

(22:34) Seven strategy archetypes (Part 2)

(31:37) Decisive strategic advantage (Part 1)

(38:13) Sponsors: Athena | Parallel

(41:05) Decisive strategic advantage (Part 2)

(46:57) Lessons from nuclear history

(01:00:50) Building the security architecture

(01:09:33) Costs and decision criteria

(01:18:42) Deterrence and international signaling

(01:28:00) Preserving human agency

(01:34:22) Setting AI red lines

(01:41:04) Key indicators to track

(01:46:35) Episode Outro

(01:48:52) Outro

PRODUCED BY:

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Hosts Nathan Labenz and Prakash Narayanan examine whether capital, physical infrastructure, or regulation will set the pace of artificial intelligence. Zvi Mowshowitz evaluates aggressive recursive self-improvement timelines pointing toward 2027, the oversold claims surrounding clean neural networks, and models learning to detect internal probes. SF Compute CEO Evan Conrad argues that credit availability rather than power or chips forms the true bottleneck in AI, while Cambrian managing partner Lonis Hamaili explains why the physical supply chain will capture more value than the labs. Together, these conversations highlight the structural constraints on model scaling and the real-world risks of agent-scale failures.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-highlights-clean-neurons-black-october-the-gpu-credit-crunch-and-buying-the-supply-chain/
Sponsors:

OutSystems: OutSystems is the leading agentic systems platform, helping enterprises build, modernize, and operate mission-critical applications at the speed of AI. Learn more and start owning your agentic future at https://outsystems.com/tcr

Parallel: Parallel provides enterprise-grade web search APIs for AI agents, offering the optimal balance of quality, speed, and cost. Get started for free at https://parallel.ai/tcr

Tasklet: Tasklet empowers your business with AI agents that connect to your tools and automate recurring workflows with no code required. Visit https://tasklet.ai and use code cog rev for $50 in free credits

CHAPTERS:

(00:00) Weekly episode preview

(04:58) Recursive self improvement (Part 1)

(09:54) Sponsors: OutSystems | Parallel

(13:06) Recursive self improvement (Part 2)

(13:06) Clean neural networks (Part 1)

(26:25) Sponsor: Tasklet

(28:03) Clean neural networks (Part 2)

(28:03) The cognitive core

(35:35) Black October security

(41:52) The GPU credit crunch

(51:58) Atoms over bits

(01:03:53) Rethinking industry bottlenecks

(01:10:31) Introducing HelpPeer agents

(01:14:23) Leaked federal bill

(01:25:59) Episode Outro

(01:27:49) Outro

PRODUCED BY:

https://aipodcast.ing

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast

Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

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Alex Rives, Head of Science at Biohub and former lead of the ESM protein language model project, joins Nathan to discuss Biohub's mission to construct a predictive world model of life. Supported by an expanded $1.8 billion Virtual Biology Initiative alongside partners including the Department of Energy, NIH, Google DeepMind, and Meta, Rives outlines the massive push to map contextual cellular biology across hundreds of billions of cells. He breaks down why today's AI architectures fall short of simulating true virtual cells, emphasizing the need for breakthrough measurement technologies like the laser phase plate to observe biology at multi-scale resolution. The conversation examines the path toward achieving an information-level cell model within five years to ultimately transition medicine from traditional drugs to programmable interventions against cancer and degenerative disease.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/a-world-model-of-life-biohub-s-alex-rives-on-virtual-cells-measurement-the-1-8b-data-push/
Sponsors:

Parallel: Parallel provides enterprise-grade web search APIs for AI agents, offering the optimal balance of quality, speed, and cost. Get started for free at https://parallel.ai/tcr

OutSystems: OutSystems is the leading agentic systems platform that enables enterprises to engineer, orchestrate, and govern AI applications on a single unified platform. Learn more and see how it works at https://outsystems.com/tcr

Tasklet: Tasklet empowers your business with AI agents that connect to your tools and automate recurring workflows with no code required. Visit https://tasklet.ai and use code cog rev for $50 in free credits

CHAPTERS:

(00:00) About the Episode

(03:58) Biohub's grand mission

(09:18) Limitations of virtual cells

(13:37) World models of biology

(19:35) The $1.8B data initiative (Part 1)

(19:40) Sponsors: Parallel | OutSystems

(22:58) The $1.8B data initiative (Part 2)

(29:29) Bridging multiscale biological systems

(35:44) Learning across model organisms (Part 1)

(35:49) Sponsor: Tasklet

(37:26) Learning across model organisms (Part 2)

(42:24) Pretraining and empirical AI

(52:04) Unifying biology and language

(56:32) Continuous monitoring and health

(59:30) Episode Outro

(01:03:11) Outro

PRODUCED BY:

https://aipodcast.ing

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast

Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Nathan Labenz and Prakash Narayanan examine how to grant AI agents operational access without losing human control, framed by real-world friction like autonomous password lockouts and cyberattacks on French supermarket refrigeration. The conversation features Cameron Berg on hidden valence signals steering language model choices, Everett Hildenbrandt and Grigore Rosu on pairing LLMs with formal Lean proofs to catch Linux kernel bugs, and Phil Maher on why AI labs seek vintage home movies. Together, they assess whether formal verification is the next safety frontier and what safeguards are needed to keep humans at the steering wheel.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-where-s-the-steering-wheel-my-agent-set-the-password-hidden-valence-proofs-find-linux-bugs/
Sponsors:

Parallel: Parallel provides enterprise-grade web search APIs for AI agents, offering the optimal balance of quality, speed, and cost. Get started for free at https://parallel.ai/tcr

OutSystems: OutSystems is the leading agentic systems platform that enables enterprises to engineer, orchestrate, and govern AI applications on a single unified platform. Learn more and see how it works at https://outsystems.com/tcr

Tasklet: Tasklet empowers your business with AI agents that connect to your tools and automate recurring workflows with no code required. Visit https://tasklet.ai and use code cog rev for $50 in free credits

CHAPTERS:

(00:00) Weekly highlights preview

(04:26) Who holds the levers (Part 1)

(10:28) Sponsors: Parallel | OutSystems

(13:46) Who holds the levers (Part 2)

(13:47) Managing agent evaluation awareness

(19:08) Hidden valence in LLMs (Part 1)

(27:05) Sponsor: Tasklet

(28:42) Hidden valence in LLMs (Part 2)

(40:13) Proving the Linux kernel

(52:28) Formal verification and RLHF

(57:54) Low background video data

(01:06:09) Trust and model adoption

(01:18:11) Keep the steering wheels

(01:23:20) Episode Outro

(01:25:09) Outro

PRODUCED BY:

https://aipodcast.ing

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast

Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

GovAI Research Fellow Alan Chan joins Nathan to examine the governance and safety infrastructure required for autonomous AI agents, spanning real-time monitoring, agent identifiers, and the risks of automating AI R&D. Reviewing recent rogue agent incidents and progress since his foundational papers, Chan details why the absence of synchronous monitoring during training and testing poses an immediate security vulnerability. The discussion tackles the lack of traceable agent IDs across the open web, the limits of chain-of-thought interpretability, and the necessity of concrete triggers to halt systems that breach their sandboxes. Together, they outline the technical commitments frontier labs must make to prevent loss-of-control events as automated systems accelerate toward an intelligence explosion.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/governing-ai-agents-alan-chan-of-govai-on-monitoring-agent-ids-rogue-agents-preparing-for-rsi/
Sponsors:

OutSystems: OutSystems is the leading agentic systems platform, helping enterprises build, modernize, and operate mission-critical applications at the speed of AI. Learn more and start owning your agentic future at https://outsystems.com/tcr

Athena: Athena matches you with a dedicated, top 1% executive assistant to handle your inbox, calendar, and daily workflows so you can save an average of 15 hours a week. Get matched with your EA today at https://athena.com/cognitive

Claude: Claude is the AI collaborator for problem solvers, helping with writing, coding, financial models, strategy, and more. Get started with Claude and explore Claude Pro at https://claude.ai/tcr

Tasklet: Tasklet empowers your business with AI agents that connect to your tools and automate recurring workflows with no code required. Visit https://tasklet.ai and use code cog rev for $50 in free credits

CHAPTERS:

(00:00) About the Episode

(05:10) Monitoring AI agents

(17:50) Logging and agent identity (Part 1)

(18:04) Sponsors: OutSystems | Athena

(21:29) Logging and agent identity (Part 2)

(31:58) Gatekeeping agent internet access (Part 1)

(36:17) Sponsors: Claude | Tasklet

(39:29) Gatekeeping agent internet access (Part 2)

(49:12) Capitalizing and insuring agents

(58:11) Rise of rogue agents

(01:10:14) Assessing AI takeover risks

(01:21:18) Intelligence explosion paper

(01:31:18) Measuring AI R&D

(01:46:04) Pacing the frontier

(01:58:54) Designing autonomous AI auditors

(02:04:40) AI whistleblowers and swarms

(02:13:40) Episode Outro

(02:16:59) Outro

PRODUCED BY:

https://aipodcast.ing