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

Nathan Labenz and Prakash Narayanan lead this AI:AM highlights episode with a live, hosts-only exploration of Anthropic’s “global workspace” paper, including the J-space and J-lens claims about readable concepts inside language models and the limits of what current probes can see. The episode then moves through Prakash’s AI Engineer World’s Fair field notes, Pangram AI-writing detector experiments, Dan Schwarz of FutureSearch on past-casting and AI superforecasting, Zeev Farbman on open world models, and Kunle Olukotun on the compute layer. The central stake is whether interpretability tools, forecasting benchmarks, enterprise deployment patterns, and AI hardware can make increasingly capable systems more legible and governable before their reasoning becomes too hidden to trust.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-highlights-exploring-the-j-space-ai-superforecasters-sambanova-s-chips-ltx-video-gen/
Sponsor:

Claude:
Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr

CHAPTERS:

(00:00) J-space paper preview

(05:37) Monitoring hidden reasoning

(13:31) Scale and critiques (Part 1)

(17:18) Sponsor: Claude

(19:09) Scale and critiques (Part 2)

(19:10) Finding hidden goals

(30:00) Anthropomorphic safety optimism

(39:02) Engineer field notes

(42:41) Detecting AI writing

(49:30) Enterprise workflow risks

(52:08) Forecasts and world models

(01:35:15) Building Q live

(01:37:24) SambaNova inference architecture

(01:42:38) AI chip taxonomy

(01:47:27) Bandwidth over capacity

(01:53:32) Testing model iterations

(01:55:35) Enforcing espoused values

(01:58:06) AI panopticon bargain

(02:01:40) Closing programming note

(02:02:29) Episode Outro

(02:05:48) 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

Liquid AI co-founder and CEO Ramin Hasani joins Nathan to make a technically grounded case against the idea that scale alone defines the future of AI. Drawing on Liquid’s path from MIT CSAIL work on liquid time-constant networks to Automated Foundation Model Design, he explains why efficient, hardware-aware architectures can look very different from frontier-scale attention models. The conversation centers on device-native foundation models for phones, laptops, cars, and wearables, including Liquid’s open-weight LFM family and production deployments at Shopify and Mercedes-Benz. The stakes are whether useful intelligence can move beyond the data center into local, privacy-sensitive, low-latency applications—and which model and chip companies will own that on-device intelligence layer.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/intelligence-on-the-edge-liquid-ai-s-ramin-hasani-on-the-search-for-device-native-foundation-models/
Mercury: Command is Mercury’s new conversational interface, giving you natural-language access to your finances and helping you take actions within your existing permissions and approval policies. Visit https://mercury.com to learn more and apply online in minutes.
Sponsor:

Claude:
Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr

CHAPTERS:

(00:00) About the Episode

(03:53) Special Sponsor

(05:41) Liquid AI origins

(22:35) Neurons versus parameters (Part 1)

(22:40) Sponsor: Claude

(24:32) Neurons versus parameters (Part 2)

(30:51) Scaling liquid networks

(40:09) Automated model design

(52:04) Gating and input dependence

(01:01:16) Architecture bias spectrum

(01:09:17) Device foundation models

(01:18:16) Hardware intelligence layer

(01:30:01) Local agent setup

(01:36:20) Miniaturizing intelligence limits

(01:40:40) Curiosity driven AI future

(01:43:45) Episode Outro

(01:46:46) 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

Thomas von Tschammer, co-founder and Managing Director US of Neural Concept, argues that physics-aware AI is driving a third revolution in engineering physical products. Neural Concept’s models learn from simulation and test data to evaluate 3D designs in minutes, helping Jaguar Land Rover move from about 50 external-aerodynamics evaluations per day to 1,500 and enabling battery cool-plate suppliers to cut development cycles while improving performance. The episode explains why AI is not replacing numerical simulation, but shifting it later in the process while expanding early design exploration across automotive, Formula 1, and manufacturing workflows. The stakes are competitive: companies that make engineering iterations AI-led can compress development cycles, while legacy OEMs risk falling further behind faster-moving Chinese and digital-native hardware competitors.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/1000-designs-a-day-neural-concept-s-thomas-von-tschammer-on-ai-native-engineering/
Mercury: Command is Mercury’s new conversational interface, giving you natural-language access to your finances and helping you take actions within your existing permissions and approval policies. Visit https://mercury.com to learn more and apply online in minutes.
Sponsor:

Claude:
Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr

CHAPTERS:

(00:00) About the Episode

(03:52) Special Sponsor

(05:40) AI design revolutions

(12:00) Physics models and data (Part 1)

(18:40) Sponsor: Claude

(20:32) Physics models and data (Part 2)

(21:56) Copilots and workflows

(33:22) Automation versus engineers

(40:39) Industry speed gaps

(48:26) Foundation models and racing

(58:03) Surprising AI designs

(01:06:15) Adoption and differentiation

(01:17:02) Robotics and abundance

(01:24:36) Episode Outro

(01:28:10) 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 AI:AM highlights cut brings together Cameron Berg, David Duvenaud, Michiel Bakker, Shawn “swyx” Wang, and Bing Xu to examine what we understand about frontier AI systems and what happens as more decisions move into their hands. Berg grounds model-consciousness debates in experiments on architecture, agency, valence, and welfare, while Duvenaud argues that even well-aligned AI could gradually disempower humans through ordinary economic choices. Bakker frames Europe’s AI challenge as a sovereignty problem, and swyx turns to practitioner stakes around agents, evals, maintainable code, and who owns the system of record. Xu closes the loop at the infrastructure layer, arguing that self-improving compute and GPU-kernel automation may deepen rather than weaken the CUDA moat.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-4-cameron-on-model-consciousness-duvenaud-s-gradual-disempowerment-swyx-s-ai-eng-alpha/
Mercury: Command is Mercury’s new conversational interface, giving you natural-language access to your finances and helping you take actions within your existing permissions and approval policies. Visit https://mercury.com to learn more and apply online in minutes.
Sponsor:

Claude:
Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr

CHAPTERS:

(00:00) About the Episode

(00:38) Special Sponsor

(02:26) Model consciousness indicators

(10:47) Valence inside models (Part 1)

(17:09) Sponsor: Claude

(19:01) Valence inside models (Part 2)

(19:01) Misalignment and uncertainty

(25:16) Gradual disempowerment threat

(35:10) Slow zones and successors

(47:41) Europe's AI bind

(55:13) Frontier code benchmarks

(01:01:59) Routing and memory

(01:10:42) Agent infrastructure strain

(01:16:25) Self improving infrastructure

(01:27:56) Routing compute costs

(01:35:39) Sovereign AI financing

(01:42:24) Judging AI judges

(01:47:26) Building AI DNA

(01:52:38) Episode Outro

(01:55:09) 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

Robert Wright of Nonzero joins Nathan to discuss The God Test, his argument that AI is humanity’s “God test” rather than just a technical challenge. They explore his evolutionary lens on deep learning, from training as selection to marketplace selection among models that may reward selectively honest, power-sensing, or deceptive agents. Wright connects those risks to the noosphere, US-China relations, cognitive empathy, and whether global coordination arrives deliberately or through a coercive singleton. The stakes are whether consumers, companies, and governments select for AIs that strengthen non-zero-sum cooperation or race toward systems that reflect and amplify our worst incentives.

For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/the-god-we-deserve-nonzero-s-robert-wright-on-ai-as-humanity-s-ultimate-test/
Mercury: Command is Mercury’s new conversational interface, giving you natural-language access to your finances and helping you take actions within your existing permissions and approval policies. Visit https://mercury.com to learn more and apply online in minutes.
Sponsor:

Claude:
Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr

CHAPTERS:

(00:00) About the Episode

(04:23) Special Sponsor

(06:10) Early AI encounters

(18:36) Pretraining as evolution (Part 1)

(19:50) Sponsor: Claude

(21:42) Pretraining as evolution (Part 2)

(32:19) Deceptive market pressures

(41:13) Noosphere and directionality

(51:02) Global brain choices

(01:08:23) Designing wiser models

(01:24:11) Reframing China relations

(01:37:57) Building organic transparency

(01:45:54) Positive nationalism and tools

(01:54:21) Pausing superintelligence races

(02:09:07) Applications and consciousness

(02:25:27) Episode Outro

(02:28:27) 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