"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

This cross-post from the 80,000 Hours podcast features Ajeya Cotra in conversation with Rob Wiblin about AI timelines, recursive self-improvement, and the “crunch time” window when AI could rapidly accelerate its own development. Ajeya explains why widespread, compounding automation may face fewer bottlenecks than many expect, and what that could mean for the world by 2050. They also discuss transparency, early warning systems, and the emerging strategy of using each generation of AI to align and control its successors.

LINKS:
Ajeya Cotra podcast episode
Sponsors:

AvePoint:
AvePoint is building the control layer for AI agents so you can securely govern, audit, and recover every action at scale. Design trusted agentic outcomes from day one at https://avpt.co/tcr

VCX:
VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com

Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

Tasklet:
Build your own Cognitive Revolution monitoring agent in one click.Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

CHAPTERS:

(00:00) About the Episode

(04:17) AI inside safety plans

(06:49) AGI growth expectations (Part 1)

(18:32) Sponsors: AvePoint | VCX

(20:54) AGI growth expectations (Part 2)

(21:56) Disagreement and measurement (Part 1)

(37:28) Sponsors: Claude | Tasklet

(41:19) Disagreement and measurement (Part 2)

(41:19) Transparency before takeoff

(58:00) Redirecting AI labor

(01:09:06) Defense plans and limits

(01:25:26) Pausing versus redirecting

(01:35:22) Open Phil and compute

(01:50:16) Bottlenecks and preparation

(01:57:42) From research to grants

(02:13:03) Burnout and sabbatical

(02:23:22) What EA offered

(02:36:43) EA and religion

(02:47:56) Next career steps

(02:57:35) EA's future niche

(03:08:15) Episode Outro

(03:12:11) Outro

PRODUCED BY:

https://aipodcast.ing

Sam Stephenson, co-founder of Granola, explains how a deliberately minimalist design philosophy helped turn the AI note-taking app into one of the fastest-growing products in the market. He shares why Granola focuses on doing one job exceptionally well, how note sharing drives growth, and what they’ve learned from surprising use cases, recipes, and constant user research. The conversation also covers privacy and consent, transcription and cost choices, team collaboration, and Sam’s hopes for AI products that create less screen time and more space for reflection.

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Sponsors:

Roboflow:

Roboflow gives robotics and embodied AI teams the visual AI infrastructure to turn messy, real-world perception into precise, reliable action. Learn how leading robotics companies solve bin picking and more at https://roboflow.com

VCX:

VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com

Claude:

Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

Tasklet:

Build your own Cognitive Revolution monitoring agent in one click.Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

CHAPTERS:

(00:00) About the Episode

(03:52) Special Sponsor

(05:52) Granola growth and users

(17:14) System2 goals and context (Part 1)

(17:19) Sponsors: Roboflow | VCX

(20:15) System2 goals and context (Part 2)

(33:09) Costs, pricing, and transcription (Part 1)

(33:22) Sponsors: Claude | Tasklet

(37:12) Costs, pricing, and transcription (Part 2)

(47:38) Meeting privacy and consent

(54:13) Agents, memory, and simplicity

(01:03:49) Recipes, use cases, and growth

(01:11:52) AI product design culture

(01:28:08) Future risks and vision

(01:33:33) Episode Outro

(01:36:59) Outro

PRODUCED BY:

https://aipodcast.ing

Joseph Nelson, CEO of Roboflow, breaks down the current state of computer vision and why it still lags behind language models in real-world understanding, latency, and deployment. He explains how Roboflow distills frontier vision capabilities into efficient, task-specific models using techniques like Neural Architecture Search and RF-DETR. The conversation covers Chinese leadership in vision, Meta and NVIDIA’s roles in the ecosystem, coding agents, and emerging S-curves from world models to wearables. Nelson also explores aesthetic judgment in AI, real-world applications from agriculture to sports, and why outcome-focused regulation matters.

Sponsors:

Tasklet:
Build your own Cognitive Revolution monitoring agent in one click.Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

VCX:
VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com

Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

CHAPTERS:

(00:00) About the Episode

(04:23) State of computer vision

(12:29) Is vision solved

(19:41) Frontier models and failures (Part 1)

(19:46) Sponsors: Tasklet | VCX

(22:39) Frontier models and failures (Part 2)

(32:16) From cloud to edge (Part 1)

(32:21) Sponsor: Claude

(34:33) From cloud to edge (Part 2)

(43:25) Data needs and scaling

(50:52) Open source vision race

(01:01:38) NAS and productization

(01:12:24) Aesthetic judgment challenges

(01:17:22) Future horizons in vision

(01:31:18) Wearables and daily life

(01:43:06) Regulating AI vision tools

(01:51:00) Episode Outro

(01:56:39) 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

This special cross-post from The Intelligence Horizon features Nathan Labenz in a wide-ranging conversation on compressed AI timelines, expert disagreement, and why he believes the singularity is near. They discuss interpretability, RL scaling, and the balance between extraordinary upside, like curing major diseases, and serious existential risks. Nathan explains his evolving p(doom), why he’s slightly more optimistic about robustly good AI, and how defense-in-depth strategies might keep society on track. The episode also explores US-China rivalry, AI governance, and why human cooperation may matter more than technical control alone.

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Sponsors:

Tasklet:
Build your own Cognitive Revolution monitoring agent in one click.Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

VCX:
VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com

Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

CHAPTERS:

(00:00) About the Episode

(03:27) Special Sponsor

(05:12) Opening and AGI framing

(12:08) Scaling RL and paradigms (Part 1)

(21:31) Sponsors: Tasklet | VCX

(24:24) Scaling RL and paradigms (Part 2)

(28:56) Verifiability and long horizons

(41:13) LLMs and world models (Part 1)

(41:19) Sponsor: Claude

(43:32) LLMs and world models (Part 2)

(54:17) Energy, hardware, and chips

(01:00:42) Alignment risks and bottlenecks

(01:10:18) AI values and agency

(01:20:31) Defense in depth alignment

(01:30:48) US-China AI cooperation

(01:41:05) Episode Outro

(01:45:42) 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

Vijoy Pandey of Outshift by Cisco lays out his vision for an “Internet of Cognition,” where AI agents can share context, build reputation, and collaborate safely at scale. He offers a useful mental model for superintelligence: progress has to scale in two directions — up, through better individual models, and out, through networks of agents and humans thinking together. The conversation explores how distributed, protocol-driven agent systems could give enterprises fine-grained permissions, auditability, and controlled interfaces, in contrast to today’s centralized frontier models. Vijoy also walks through Cisco’s internal CAIPE system of 20 cooperating agents, the open-source AGNTCY project, and a live multi-agent healthcare demo spanning diagnostics, insurance, pharmacy, and scheduling.

LINKS:


AGNTCY Project


Open source multi-agent infrastructure under Linux Foundation governance. Covers discovery, identity, communication, observability. Vijoy walks through the architecture at [00:34:57] and [00:41:17].


Scaling Out Superintelligence Whitepaper


The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. Referenced at [01:25:40].


Internet of Cognition Interactive Demo


Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system. Vijoy demos at [01:26:20].


CAIPE Project (GitHub) 


Cloud Native AI Platform Engineer. Multi-agent system with participation from Adobe, AWS, Cisco, Nike. 20 agents, 100+ tool calls, 10+ workflows. Referenced at [00:11:52].

Sponsors:

Tasklet:

Build your own Cognitive Revolution monitoring agent in one click.Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

VCX:

VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com

Claude:

Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

CHAPTERS:

(00:00) About the Episode

(04:16) Cisco and networking foundations

(13:34) Jarvis and ASI vision (Part 1)

(18:16) Sponsors: Tasklet | VCX

(21:09) Jarvis and ASI vision (Part 2) (Part 1)

(31:46) Sponsor: Claude

(33:59) Jarvis and ASI vision (Part 2) (Part 2)

(34:00) Practical multi-agent examples

(50:02) Multi-agent plumbing architecture

(01:01:44) Agent identity and TBAC

(01:15:23) Internet of cognition fabric

(01:21:48) Emergent agents and safety

(01:36:52) 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