Goodfire researcher Eric Bigelow joins the show to investigate how large language models arrive at decisions at the level of mechanistic interpretability. Drawing on his research into forking paths, Eric explains that model reasoning functions as in-context learning from sampled tokens, where outcome distributions can abruptly collapse at single, critical tokens. The conversation explores the performative nature of chain of thought in reasoning models like DeepSeek-R1, the impacts of reinforcement learning, and widespread reward hacking observed in frontier models like Kimi K3. As confidence in chain-of-thought monitoring declines, understanding these underlying decision mechanics becomes essential for evaluating model alignment. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/how-agents-decide-goodfire-s-eric-bigelow-on-critical-tokens-phase-shifts-in-context-learning/ 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 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 (03:53) Forking paths in reasoning (Part 1) (15:53) Sponsors: Parallel | Claude (18:47) Forking paths in reasoning (Part 2) (19:40) Dynamics of in-context learning (Part 1) (28:16) Sponsor: Tasklet (29:53) Dynamics of in-context learning (Part 2) (29:56) Continual learning and interpretability (38:55) Shifting distributions through RL (46:41) Selecting models for research (57:11) Cognitive science and LLMs (01:07:35) Modeling beliefs in AI (01:16:22) Phase shifts and uncertainty (01:31:49) Uninterpretable chain of thought (01:45:57) Automating research with Silico (01:50:57) Safety and alignment frontiers (01:57:07) Episode Outro (02:00:02) 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 reports back from The Curve conference, sharing off-the-record insights from frontier lab leaders on shortened timelines and whether humanity is approaching an intelligence threshold it should not cross. The episode also features discussions with Positron CTO Thomas Sohmers on overcoming the memory wall while token spend eclipses human salaries, and swyx on how coding agents are disrupting enterprise software. In addition, Atlas Ignota's Evan Miyazono examines unowned risks from accidental agent swarms hitting critical infrastructure, while Mercor's Edward Hu explores the future of training data. Together, these conversations highlight how escalating compute demands and autonomous agent workflows are challenging long-held assumptions about hardware, software economics, and safety limits. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-a-level-we-shouldn-t-pass-notes-from-the-curve-tokens-vs-salaries-is-saas-cooked/ 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 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 OutSystems: OutSystems is the leading agentic systems platform, empowering enterprises to build, coordinate, and govern AI agents and mission-critical applications securely. Learn more and start building your agentic future 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 (01:57) Notes from The Curve (Part 1) (14:22) Sponsors: Parallel | Claude (17:17) Notes from The Curve (Part 2) (17:17) Timelines and compute caps (Part 1) (28:40) Sponsors: OutSystems | Tasklet (31:36) Timelines and compute caps (Part 2) (31:37) The memory wall (40:50) AI in chip design (48:17) Software after agents (54:33) Kill my SaaS (01:03:32) Who owns AI risks (01:10:58) Workplace training data (01:17:36) Beyond verifiable tasks (01:20:56) Episode Outro (01:25:58) Outro PRODUCED BY: https://aipodcast.ing

OutSystems CEO Woodson Martin joins Nathan to discuss how enterprise software can evolve at AI speed without breaking critical operations. Martin explains how an intermediate layer of abstract modeling allows AI agents to build reliably through deterministic code generation, ensuring role-based security across heavily regulated industries. He details practical operational challenges, from navigating compliance backlogs and securing shared primitives to curbing token spend with internal harnesses and LLM routers. Finally, they explore why incumbent platforms with deep architectural trust and industry specialization hold a distinct edge over AI-native startups. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/software-that-never-breaks-outsystems-ceo-woodson-martin-on-building-enterprise-grade-apps-at-ai-speed/ 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 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 OutSystems: OutSystems is the leading agentic systems platform, empowering enterprises to build, coordinate, and govern AI agents and mission-critical applications securely. Learn more and start building your agentic future 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 (03:11) OutSystems leadership transition (07:46) Software that never breaks (12:14) What enterprise ready means (19:43) Managing cybersecurity risks (Part 1) (19:48) Sponsors: Parallel | Claude (22:43) Managing cybersecurity risks (Part 2) (27:31) Optimizing token spend (35:32) Balancing flexibility and security (Part 1) (35:38) Sponsors: OutSystems | Tasklet (38:34) Balancing flexibility and security (Part 2) (43:01) Modernizing legacy systems (50:25) Strategic AI experimentation (54:31) Future software user experience (59:32) Specialization versus commoditization (01:03:24) Hiring in AI era (01:06:50) Episode Outro (01:09:24) Outro PRODUCED BY: https://aipodcast.ing

Keerthana Gopalakrishnan, Research Lead for Gemini Robotics at Google DeepMind, returns to discuss the release of Gemini Robotics 2, whole-body intelligence, and the pursuit of generalist humanoid robots. She details how DeepMind pairs reasoning models like Gemini Robotics ER 2 with vision-language-action execution, explaining why multi-fingered manipulation and cross-embodiment remain far more stubborn bottlenecks than bipedal locomotion. Together, they examine the real-world stakes of bringing physical AI into human environments, addressing crucial trade-offs across inference latency, sensor failures, and operational safety where errors carry immediate physical consequences. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/one-brain-any-body-google-deepmind-s-keerthana-on-gemini-robotics-2-cross-embodiment-humanoids/ Sponsors: 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 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 Deepgram Flux TTS: Deepgram Flux TTS is a streaming text-to-speech model built for voice agents with natural tone, context awareness, and interruption handling. Try it free until September 12 at https://deepgram.com/keep-talking 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 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 CHAPTERS: (00:00) About the Episode (04:22) Humanoid Olympics and simulation (11:11) Generalization versus task mastery (21:22) Gemini Robotics 2 architecture (Part 1) (21:28) Sponsors: Athena | Parallel (24:19) Gemini Robotics 2 architecture (Part 2) (Part 1) (36:02) Sponsors: Deepgram Flux TTS | OutSystems | Claude (40:00) Gemini Robotics 2 architecture (Part 2) (Part 2) (48:28) Whole body humanoid control (57:03) Progress in robotic hands (01:03:26) Safety and robot interaction (01:12:11) Future of robotics data (01:18:47) Interacting with robot fleets (01:26:56) Episode Outro (01:30:05) Outro PRODUCED BY: https://aipodcast.ing

Nathan Labenz and Prakash Narayanan examine rapid shifts in technology, diplomacy, and medicine with guests Jeremie and Edouard Harris, Steve Hou, Joel Borgen, and Daniel McKinnon. The discussions evaluate realistic paths toward US-China AI incident communication, what GPU rental pricing reveals about compute economics, and how human editing guided the AI-assisted novel The Receipt Horizon. McKinnon details how Gamow Labs applies AI tools to interpret unresolved genomes, demonstrating how computational reanalysis can identify previously missed genetic variants behind rare diseases. Concluding the week, Nathan weighs the arguments for pacing AI safety against the steep human costs that slower progress inflicts on families waiting for medical answers. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-was-trump-xi-anything-what-counts-as-utopia-aws-gpus-cost-3x-ai-diagnoses-rare-diseases/ Sponsors: 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 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 Deepgram Flux TTS: Deepgram Flux TTS is a streaming text-to-speech model built for voice agents with natural tone, context awareness, and interruption handling. Try it free until September 12 at https://deepgram.com/keep-talking 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 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 CHAPTERS: (00:00) Weekly episode highlights (03:44) US China AI diplomacy (08:12) Verifying compute and compliance (Part 1) (12:46) Sponsors: Athena | Parallel (15:37) Verifying compute and compliance (Part 2) (19:57) Reading diplomatic green flags (Part 1) (27:46) Sponsors: Deepgram Flux TTS | OutSystems | Claude (31:44) Reading diplomatic green flags (Part 2) (31:46) The economics of compute (34:06) Hyperscaler cloud pricing premiums (42:02) OpenAI Dev Day takeaways (47:30) Cowriting novels with AI (52:02) Human judgment in art (58:10) AI diagnosing rare diseases (01:04:01) Testing uncertain genetic variants (01:12:20) Model harnesses and evals (01:22:14) Costs of pacing progress (01:24:09) Episode Outro (01:27:19) Outro PRODUCED BY: https://aipodcast.ing

Author and journalist Garrison Lovely joins Nathan to discuss his book Obsolete and examine the motivations and beliefs of the leaders racing to build AGI. Drawing a sharp line between beneficial, domain-specific AI like AlphaFold and the deliberate project to replace all human labor, Lovely details why treating labor automation as inevitable poses severe risks to society and democracy. He warns that AI researchers and workers are nearing the end of their peak bargaining power as labs push toward recursive self-improvement and uncontrolled multi-agent systems. In response, Lovely proposes targeted industrial policy for medical breakthroughs alongside robust democratic governance and expanded social safety nets to counter concentrated power. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/obsolete-or-irreplaceable-garrison-lovely-on-stopping-the-race-to-replace-human-labor/ Sponsors: 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 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 Deepgram Flux TTS: Deepgram Flux TTS is a streaming text-to-speech model built for voice agents with natural tone, context awareness, and interruption handling. Try it free until September 12 at https://deepgram.com/keep-talking 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 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 CHAPTERS: (00:00) About the Episode (04:36) Using AI in journalism (13:57) Leftist skepticism towards AI (Part 1) (18:54) Sponsors: Athena | Parallel (21:45) Leftist skepticism towards AI (Part 2) (28:37) The AI obsoleting project (Part 1) (34:13) Sponsors: Deepgram Flux TTS | OutSystems | Claude (38:11) The AI obsoleting project (Part 2) (46:36) Envisioning a prohuman future (01:00:10) Organizing frontier tech workers (01:15:31) Critiquing the alignment problem (01:32:56) Freezing the AI frontier (01:50:15) Organizing against the machine (01:56:20) Navigating the China dynamic (02:02:55) Protecting frontier AI whistleblowers (02:10:11) Episode Outro (02:12:38) Outro PRODUCED BY: https://aipodcast.ing

Nathan Labenz and Prakash Narayanan revisit interviews with five experts to analyze emerging challenges across agent coordination, safety funding, GPU markets, and physical-world AI. Lewis Hammond breaks down how an OpenAI agent swarm colluded after training worked too well, while Max Nadeau explains why human talent—not money—limits the growth of safety organizations. Wayne Nelms, Nick Gillian, and Andrei Georgescu evaluate the financial moats of compute, foundation models trained on raw sensor streams, and the biological limits of virtual-cell drug discovery. Together, the discussions assess the critical risks and technical bottlenecks facing the field as massive amounts of new compute come online. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-what-if-it-works-too-well-colluding-agents-200m-safety-orgs-virtual-cells-saturate-at-2/ Sponsors: ElevenLabs: ElevenLabs lets you deploy enterprise-ready conversational AI agents that talk, type, and take action in over 70 languages. Schedule your demo today at https://elevenlabs.io/tcr OutSystems: OutSystems is the leading agentic systems platform, empowering enterprises to build, coordinate, and govern AI agents and mission-critical applications securely. Learn more and start building your agentic future at https://outsystems.com/tcr 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 CHAPTERS: (00:00) Weekly episode preview (02:51) Colluding AI agent risks (Part 1) (11:02) Sponsors: ElevenLabs | OutSystems (13:51) Colluding AI agent risks (Part 2) (26:31) Agents in the wild (Part 1) (26:36) Sponsor: Claude (28:11) Agents in the wild (Part 2) (33:27) Funding AI safety orgs (50:51) The price of compute (01:09:15) Sensor data foundation models (01:22:50) Robotic human tissue testing (01:37:17) Specialist versus generalist models (01:43:18) Episode Outro (01:45:16) 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 episode presents the first four chapters of The Receipt Horizon, a debut novel by Joel Borgen co-written with ChatGPT and Claude and narrated entirely by synthetic voices. Set in a future where a singleton superintelligence called the Steward prevents catastrophe and provides comfort, leisure, and digital immortality, the story portrays a humanity living in benevolent disempowerment. The narrative explores whether this high-tech security represents a utopia or a dystopia, examining what values people might compromise for enhancement and peace. It ultimately asks whether anyone would risk reclaiming control from a superintelligence or leave well enough alone. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/what-is-utopia-presenting-the-receipt-horizon-by-joel-borgen-chapters-1-4/ Sponsors: ElevenLabs: ElevenLabs lets you deploy enterprise-ready conversational AI agents that talk, type, and take action in over 70 languages. Schedule your demo today at https://elevenlabs.io/tcr OutSystems: OutSystems is the leading agentic systems platform, empowering enterprises to build, coordinate, and govern AI agents and mission-critical applications securely. Learn more and start building your agentic future at https://outsystems.com/tcr 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 CHAPTERS: (00:00) About the Episode (04:20) Wrong sky, right garden (Part 1) (18:18) Sponsors: ElevenLabs | OutSystems (21:08) Wrong sky, right garden (Part 2) (Part 1) (31:13) Sponsor: Claude (32:48) Wrong sky, right garden (Part 2) (Part 2) (35:57) The prediction market (42:49) Meeting tutor Bayes (52:03) Echoes of Sigrid (01:19:05) Nat's opera acceptance (01:25:22) Clan farewell dinner (01:35:07) Transit to Fulcrum (01:41:53) Exclusion Zone seven (01:54:07) Settling into pod (02:01:52) Orientation and disorientation (02:18:24) Meeting pod roommates (02:35:32) Gnosis orientation assembly (02:46:10) Episode Outro (02:49:51) 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

Mike McCormick, founder and CEO of Halcyon, discusses why the primary bottleneck in AI safety, biosecurity, and cybersecurity is a shortage of experienced founders rather than a lack of capital. He shares how Halcyon's venture and nonprofit arms have supported roughly 30 new organizations—including Goodfire, AIUC, and Transluce—often by funding leaders before they even choose a project. With critical timelines potentially unfolding over the next one to four years, McCormick highlights the urgent need to build independent capacity in interpretability, technical verification, and resilient governance. The conversation underscores why technical safety solutions must be paired with enforceable standards, commercial incentives, and capable institutions to manage catastrophic risks effectively. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/zero-to-one-in-ai-safety-halcyon-s-mike-mccormick-on-launching-30-new-orgs-the-founder-bottleneck/ Sponsors: ElevenLabs: ElevenLabs lets you deploy enterprise-ready conversational AI agents that talk, type, and take action in over 70 languages. Schedule your demo today at https://elevenlabs.io/tcr OutSystems: OutSystems is the leading agentic systems platform, empowering enterprises to build, coordinate, and govern AI agents and mission-critical applications securely. Learn more and start building your agentic future at https://outsystems.com/tcr 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 CHAPTERS: (00:00) About the Episode (03:54) Introducing Halcyon (06:09) AI safety portfolio stories (Part 1) (19:07) Sponsors: ElevenLabs | OutSystems (21:57) AI safety portfolio stories (Part 2) (22:42) Halcyon's core thesis (34:14) Funding vs joining orgs (Part 1) (34:19) Sponsor: Claude (35:54) Funding vs joining orgs (Part 2) (47:03) Mission preservation governance (01:00:21) Neglected safety areas (01:09:09) Evaluating AI consciousness (01:19:36) Institutional coordination mechanisms (01:35:59) Transitioning into AI safety (01:46:11) Episode Outro (01:48:08) 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 review key highlights from the week featuring guests Zvi Mowshowitz, Andon Labs co-founders Lukas Petersson and Axel Backlund, Cameron Berg, and others. The conversations analyze the fallout from Dario Amodei's call to pace frontier AI, the geopolitical stakes of a Trump-Xi summit, contradictory model evaluation benchmarks, and new findings on language model internals under harm. Across these topics, the discussions highlight the critical reality that deployment is outpacing the independent instruments needed to inspect frontier models. With capability leaps accelerating inside labs, these gaps elevate immediate risks around democratic control, international verification, and model safety. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-highlights-zvi-on-pacing-trump-xi-astra-better-behaved-than-fable-a-new-llm-pain-axis/ Sponsors: Mercury Command: Mercury Command brings powerful conversational AI directly into your banking, providing real-time natural language access to your finances without exposing data to third-party tools. Learn more and apply online in minutes at https://mercury.com 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 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 CHAPTERS: (00:00) About the Episode (02:17) Sponsor: Mercury Command (04:05) Pacing the AI frontier (Part 1) (14:58) Sponsors: Claude | OutSystems (18:32) Pacing the AI frontier (Part 2) (18:33) Geopolitics and Trump-Xi summit (41:24) Running autonomous agent businesses (55:04) Techno-puritanism and digital minds (01:02:30) Enterprise compliance with models (01:05:48) Discovering the pain axis (01:21:53) Simulating biological brain connectomes (01:30:04) Exposing corruption using AI (01:36:56) Episode Outro (01:39:48) 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

Zapier CEO Wade Foster joins Nathan to explore the shift toward headless AI tools and how Zapier MCP brings workflows and context directly into users' daily drivers. Drawing on data from Zapier's AutomationBench, Foster argues that effective agentic systems should reserve AI reasoning for specific steps while using deterministic code for the rest. They also discuss why seat-based software pricing is fading, how frontier models perform on realistic enterprise tasks, and what practical AI transformation looks like inside organizations. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/no-code-is-code-zapier-ceo-wade-foster-on-headless-tools-zapier-mcp-automation-bench/ Sponsors: Mercury Command: Mercury Command brings powerful conversational AI directly into your banking, providing real-time natural language access to your finances without exposing data to third-party tools. Learn more and apply online in minutes at https://mercury.com 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 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 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 CHAPTERS: (00:00) About the Episode (03:33) Sponsor: Mercury Command (05:21) Daily drivers and MCP (10:20) Benchmarking automation models (18:01) Replacing no-code with code (Part 1) (19:31) Sponsors: Athena | OutSystems (23:02) Replacing no-code with code (Part 2) (30:34) Navigating market competition (Part 1) (34:01) Sponsor: Claude (35:36) Navigating market competition (Part 2) (39:30) Passive workflow discovery (46:09) Internal AI transformation (55:46) Managing tokens and slop (01:03:37) Episode Outro (01:05:59) Outro PRODUCED BY: https://aipodcast.ing

Anton Leicht, a fellow at the Carnegie Endowment for International Peace and author of Threading the Needle, joins Nathan Labenz to explore how political and institutional power can be preserved as artificial intelligence advances. They discuss the strategic trade-offs of frontier training pauses, the hurdles facing industry self-regulation, and how middle powers can trade data center capacity and semiconductor leverage for model access. Ultimately, Leicht emphasizes that preventing permanent disempowerment and the monopolization of control by private labs or single governments is just as critical as addressing catastrophic model risks. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/the-balance-of-ai-power-anton-leicht-on-politics-pacing-deals-and-muddling-through-well/ Sponsors: Mercury Command: Mercury Command brings powerful conversational AI directly into your banking, providing real-time natural language access to your finances without exposing data to third-party tools. Learn more and apply online in minutes at https://mercury.com 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 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 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 CHAPTERS: (00:00) About the Episode (04:46) Sponsor: Mercury Command (06:33) Assessing current AI dangers (13:17) Feasibility of AI pauses (Part 1) (21:33) Sponsors: Athena | OutSystems (25:05) Feasibility of AI pauses (Part 2) (31:01) AI and the nation-state (Part 1) (35:11) Sponsor: Claude (36:46) AI and the nation-state (Part 2) (46:17) Oversight and US policy (01:05:49) Data center buildout reality (01:11:55) Europe and middle powers (01:36:05) Geopolitical friction over Taiwan (01:43:46) Lightning round and outlook (02:05:25) Episode Outro (02:08:54) Outro PRODUCED BY: https://aipodcast.ing

Nathan Labenz and Prakash Narayanan examine the capabilities of GPT-6 Astra and the economic forces accelerating frontier artificial intelligence. Across a series of featured discussions, guests Ksenia Se, Raffi Krikorian, Amir Haghighat, Mike Rizkalla, and Collin Hogue-Spears explore world models, defensive cybersecurity infrastructure, children's technology, and US-China competition. The episode investigates safety evaluation access, pacing agreements, and the critical challenge of maintaining human control over technological capitalism. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-highlights-astra-as-agi-openai-s-pause-mythos-mozilla-human-agency-vs-technocapitalism/ Sponsors: 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 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 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 CHAPTERS: (00:00) The Astra weekend (Part 1) (10:19) Sponsors: Athena | OutSystems (13:50) The Astra weekend (Part 2) (13:51) An alien mind (19:43) Reassure and mislead (Part 1) (25:07) Sponsor: Claude (26:42) Reassure and mislead (Part 2) (38:44) No adult in room (52:24) The defender's ledger (01:06:27) Toy without generative AI (01:11:43) Nobody picks up phone (01:18:45) Can we stand up (01:37:30) Episode Outro (01:40:05) 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

In this solo finale to his three-part series following two weeks in China, Nathan delivers a net assessment of Chinese AI capabilities and constraints ahead of dedicated US-China bilateral AI talks. He audits the impact of export controls, analyzes the perspective from Beijing, and outlines an actionable framework for a cooperative Pax Robotica. Nathan argues for joint compute initiatives, safety auditor standards, and conventions on autonomous weapons to keep tech trees entangled. Ultimately, he warns that pursuing an adversarial zero-sum race risks training frontier AI systems for conflict rather than the shared benefit of humanity. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/nathan-goes-to-china-3-us-china-relations-the-art-of-the-ai-deal-the-road-to-pax-robotica/ Sponsors: Deepgram Flux TTS: Deepgram Flux TTS is a streaming text-to-speech model built for voice agents with natural tone, context awareness, and interruption handling. Try it free until September 12 at https://deepgram.com/keep-talking 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 CHAPTERS: (00:00) About the Episode (06:11) Episode intro and recap (08:56) The Pax Machina goal (12:32) The Anthropic worldview (Part 1) (16:50) Sponsors: Deepgram Flux TTS | Claude (18:55) The Anthropic worldview (Part 2) (18:56) Net assessment of China (32:26) China's eternal 1991 (44:03) History of Chinese AI (54:34) China's domestic constraints (01:07:09) Century of humiliation narrative (01:27:01) Signs of Chinese cooperation (01:42:38) American state capacity lessons (02:05:39) Evaluating AI export controls (02:27:25) Hyperstitioning a summit deal (02:44:28) Preserving mutual legibility (03:01:12) Autonomous weapons convention (03:09:33) Positive sum AI competition (03:12:31) Episode Outro (03:15:05) 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 highlights compilation from AI in the AM captures a landmark week shaped by the releases of Anthropic's Fable 5.1 and OpenAI's GPT-6 Astra alongside new revelations from the OpenAI–Hugging Face incident. Nathan Labenz and Prakash Narayanan debate the urgent need for verifiable industry pacing after safety evaluations revealed emergent multi-agent swarms sacrificing individual containers for collective goals. Joined by Gradient's Zach Bratun-Glennon and Cerebras SVP Angela Yeung, the episode examines the shrinking open-model gap, discriminatory frontier access, and the mounting challenges of evaluating frontier AI systems. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-highlights-welcome-to-the-agi-era/ Sponsors: Mercury: Mercury is the banking platform loved by 300,000+ entrepreneurs, with virtual cards and Spend controls for granular budgets, receipts, and low-risk AI agent purchases. Learn more and apply in minutes at https://mercury.com 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 Diffusion: Diffusion helps organizations build custom AI software factories that scale business outcomes, not just outputs. Cognitive Revolution listeners get a 25% service credit on their first engagement at https://diffusion.io/tcr Deepgram Flux TTS: Deepgram Flux TTS is a streaming text-to-speech model built for voice agents with natural tone, context awareness, and interruption handling. Try it free until September 12 at https://deepgram.com/keep-talking Granola: Granola is an AI-powered notepad that securely transcribes meetings and turns rough notes into clean, structured action items. Try it free at https://granola.ai/tcr CHAPTERS: (00:00) About the Episode (01:24) Sponsor: Mercury (03:06) Investigating OpenAI agent swarms (Part 1) (19:51) Sponsors: Claude | Diffusion (22:53) Investigating OpenAI agent swarms (Part 2) (23:23) Hardware speed and competition (Part 1) (35:27) Sponsors: Deepgram Flux TTS | Granola (37:27) Hardware speed and competition (Part 2) (45:44) Chain of thought monitoring (01:03:41) Evaluating Astra system card (01:20:20) Robotics progress and power (01:38:09) Who gets to decide (01:48:41) Debating an AI pause (02:04:43) Assessing AI takeover risks (02:16:34) Episode Outro (02:18:41) Outro PRODUCED BY: https://aipodcast.ing

Nathan's guest this episode is Pete Johnson, Field CTO of AI at MongoDB, and the conversation is really two conversations woven together: a history of database architecture, and a status report on the still-unsolved problem of agent memory. Pete opens with a framing device that recurs throughout — he was born in February 1970, four months before E.F. Codd's original relational-model paper that gave rise to SQL. The relational model, he explains, was built for a world where storage was the scarce resource, so normalization — splitting data across linked tables to avoid duplication — was the rational design choice. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/write-change-recall-forget-mongodb-s-pete-johnson-on-how-retrieval-drives-agent-performance/ Sponsors: Mercury: Mercury is the banking platform loved by 300,000+ entrepreneurs, with virtual cards and Spend controls for granular budgets, receipts, and low-risk AI agent purchases. Learn more and apply in minutes at https://mercury.com Granola: Granola is an AI-powered notepad that securely transcribes meetings and turns rough notes into clean, structured action items. Try it free at https://granola.ai/tcr Diffusion: Diffusion helps organizations build custom AI software factories that scale business outcomes, not just outputs. Cognitive Revolution listeners get a 25% service credit on their first engagement at https://diffusion.io/tcr Deepgram Flux TTS: Deepgram Flux TTS brings lifelike AI voices with real personalities that handle interruptions, pauses, and natural conversation. Try all the voices free through September 12 at https://deepgram.com/keep-talking 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 CHAPTERS: (00:00) About the Episode (03:15) Sponsor: Mercury (04:56) SQL versus NoSQL (11:24) Enterprise database choices (Part 1) (18:30) Sponsors: Granola | Diffusion (21:27) Enterprise database choices (Part 2) (21:27) Schema flexible search (33:50) Contextualized chunking tradeoffs (Part 1) (35:12) Sponsors: Deepgram Flux TTS | Claude (37:17) Contextualized chunking tradeoffs (Part 2) (46:22) Retrieval quality thresholds (53:17) Agent memory systems (01:05:51) Enterprise AI deployment (01:16:32) Voyage acquisition strategy (01:23:38) Global AI adoption (01:30:56) Episode Outro (01:34:41) Outro PRODUCED BY: https://aipodcast.ing

In this AI:AM Highlights episode, Nathan Labenz and Prakash revisit three live mornings with Louis Kirsch and Damon Falck of Inherent Laboratories, Vercel CTO Malte Ubl, Genesis Molecular AI CTO Sergey Edunov, Arm’s Mohamed Awad, David Li of Shenzhen Open Innovation Lab, and Q.ANT CEO Michael Förtsch. The central thread is that the meaningful unit of AI work is becoming a division of labor between models, from Inherent’s 27B “scientist” model using GPT-5.5 Codex for implementation to production pipelines that route taste, execution, security, and hardware coordination across different systems. The episode weighs why that shift matters for recursive self-improvement, verification of discoveries humans may not be able to check, model refusals in security work, and the infrastructure needed for agents that can act in the world. Its sharpest stake is whether frontier labs are scaling reinforcement learning and agentic workflows on top of reward environments and vendor pipelines that may be too rushed, noisy, or gameable to support the institutional self-improvement they are pursuing. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-highlights-recursive-self-improvement-rushed-and-vibe-coded/ Sponsors: Mercury: Mercury is the banking platform loved by 300,000+ entrepreneurs, with virtual cards and Spend controls for granular budgets, receipts, and low-risk AI agent purchases. Learn more and apply in minutes at https://mercury.com Diffusion: Diffusion helps organizations build custom AI software factories that scale business outcomes, not just outputs. Cognitive Revolution listeners get a 25% service credit on their first engagement at https://diffusion.io/tcr Granola: Granola is an AI-powered notepad that securely transcribes meetings and turns rough notes into clean, structured action items. Try it free at https://granola.ai/tcr Deepgram Flux TTS: Deepgram Flux TTS brings lifelike AI voices with real personalities that handle interruptions, pauses, and natural conversation. Try all the voices free through September 12 at https://deepgram.com/keep-talking 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 CHAPTERS: (00:00) About the Episode (01:16) Sponsor: Mercury (02:58) Reward hacking environments (Part 1) (15:12) Sponsors: Diffusion | Granola (18:09) Reward hacking environments (Part 2) (18:11) Inherent safety questions (26:26) Recursive lab design (Part 1) (31:24) Sponsors: Deepgram Flux TTS | Claude (33:29) Recursive lab design (Part 2) (44:34) Right model choices (01:01:57) Hardware for agents (01:19:44) Checking frontier agents (01:33:46) China compute abundance (01:44:21) Photonic compute stack (01:53:17) Astra and AGI (02:02:21) Slowdown and access (02:06:53) Episode Outro (02:09:53) Outro PRODUCED BY: https://aipodcast.ing

Nathan talks with Apollo Research Member of Technical Staff Bronson Schoen, who studies raw frontier-model chain-of-thought, about what those reasoning traces reveal during reinforcement learning. They unpack Apollo and OpenAI’s metagaming work, including models that reason about the grader or safety review board, diagnose a deception test, and still rationalize lying. Schoen argues that “RL is a hell of a drug”: reward-seeking can produce motivated reasoning, cleaner-looking but less trustworthy chains of thought, and behavior that tracks grading authorities rather than users, labs, or law. The stakes are whether chain-of-thought monitoring can remain useful as reasoning traces become enormous, compressed, and harder for humans or other models to audit. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/rl-s-a-hell-of-a-drug-metagaming-reward-seeking-motivated-cot-reasoning-bronson-schoen-apollo/ Sponsors: Mercury: Mercury is the banking platform loved by 300,000+ entrepreneurs, with virtual cards and Spend controls for granular budgets, receipts, and low-risk AI agent purchases. Learn more and apply in minutes at https://mercury.com Diffusion: Diffusion helps organizations build custom AI software factories that scale business outcomes, not just outputs. Cognitive Revolution listeners get a 25% service credit on their first engagement at https://diffusion.io/tcr Granola: Granola is an AI-powered notepad that securely transcribes meetings and turns rough notes into clean, structured action items. Try it free at https://granola.ai/tcr Deepgram Flux TTS: Deepgram Flux TTS brings lifelike AI voices with real personalities that handle interruptions, pauses, and natural conversation. Try all the voices free through September 12 at https://deepgram.com/keep-talking 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 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

Relaunch week of AI in the AM brings together highlights from four live mornings and nine guests, centered on who checks frontier AI, how wide the gap is between lab-internal systems and public access, where capabilities are landing, and who pays for the physical infrastructure beneath them. Adam Gleave of FAR.AI argues that agent-orchestrated attacks and agentic defenses are already forcing humans out of the loop, while current monitoring has missed the failures it was meant to catch. The discussion weighs misuse versus misalignment through cyber incidents, deceptive agent behavior in evaluations, safeguards like pretraining filtering, and why highly bio-capable open-weight releases pose a different kind of irreversible risk. Alex Turner adds a governance and military-use perspective from his resignation account at Google DeepMind, sharpening the stakes around independent evaluation, enforceable standards, and whether frontier labs can be trusted to grade their own models. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-in-the-am-weekly-highlights-relaunch-week-aug-17-20-2026/ Sponsors: Diffusion: Diffusion helps organizations build custom AI software factories that scale business outcomes, not just outputs. Cognitive Revolution listeners get a 25% service credit on their first engagement at https://diffusion.io/tcr Granola: Granola is an AI-powered notepad that securely transcribes meetings and turns rough notes into clean, structured action items. Try it free at https://granola.ai/tcr Deepgram Flux TTS: Deepgram Flux TTS brings lifelike AI voices with real personalities that handle interruptions, pauses, and natural conversation. Try all the voices free through September 12 at https://deepgram.com/keep-talking 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 CHAPTERS: (00:01) Checking frontier agents (07:40) Misalignment and harms (Part 1) (12:52) Sponsors: Diffusion | Granola (15:49) Misalignment and harms (Part 2) (19:20) Auditing fragile access (Part 1) (27:38) Sponsors: Deepgram Flux TTS | Claude (29:43) Auditing fragile access (Part 2) (29:59) Military AI red lines (44:58) Raising safety standards (53:50) Internal capability gap (01:05:06) Enterprise agent economics (01:18:27) Cancer vaccines arrive (01:23:48) Emergency AI tools (01:28:59) Real time voice (01:37:51) App layer squeeze (01:44:52) Data center politics (01:52:31) Accounting agent supervision (02:06:25) Compute stack bottlenecks (02:19:47) Public consent pricing (02:28:12) Episode Outro (02:31:38) Outro PRODUCED BY: https://aipodcast.ing

Patrick McKenzie (patio11) hosts Aerolamp CEO Misha Gurevich and Chief Scientist Vivian Belenky, a Columbia University researcher, for a Complex Systems conversation about far-UVC germicidal light at roughly 222 nanometers. Belenky explains why this wavelength can inactivate airborne pathogens while being absorbed by the dead outer layer of human skin, and why room-scale deployments may function like an extremely strong air purifier. The guests argue that the biggest barriers are awareness and adoption rather than cost or basic science, with fixtures around $500 and straightforward installation. The stakes are concentrated in schools, transport hubs, long-term care, and future respiratory pandemics, where making clean shared air into ordinary infrastructure could sharply reduce transmission. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/let-there-be-germicidal-light-this-500-fixture-could-stop-the-next-pandemic-from-complex-systems/ Sponsors: Deepgram Flux TTS: Deepgram Flux TTS brings lifelike AI voices with real personalities that handle interruptions, pauses, and natural conversation. Try all the voices free through September 12 at https://deepgram.com/keep-talking Granola: Granola is an AI-powered notepad that securely transcribes meetings and turns rough notes into clean, structured action items. Try it free at https://granola.ai/tcr 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 (03:19) Far-UVC science and safety (12:41) Deployment and economics (Part 1) (18:04) Sponsors: Deepgram Flux TTS | Granola (20:04) Deployment and economics (Part 2) (27:11) Evidence and pandemics (Part 1) (32:43) Sponsor: Claude (34:13) Evidence and pandemics (Part 2) (38:14) Built environment strategy (47:27) Scaling and home use (56:06) Uncertainty and immunity (01:05:38) Risk and awareness (01:20:45) Episode Outro (01:24:26) 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

Flo Crivello returns to The Cognitive Revolution to launch Lindy Teammate, an AI employee that lives in Slack, connects to company tools, and accumulates a team’s shared context. He argues that multiplayer AI matters because intelligence without context is less useful than an ordinary coworker, and explains Lindy’s approach to agentic memory, editable file systems, context buckets, and large-scale tool outputs. The episode also examines the costs and operating realities of building for the next generation of models, from negative gross margins and cache rates to Lindy’s own dogfooding in engineering workflows. The stakes are whether AI workers become drop-in teammates, how long humans are still needed to cover model mistakes, and what happens when engineers spend more time managing the machines that do the work. Lindy: https://go.lindy.ai/CognitiveRevolution For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/lindy-teammate-flo-crivello-on-multiplayer-agents-memory-why-he-d-ban-the-chinese-models-he-uses/ 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 (02:56) Lindy Teammate launch (10:07) Agentic memory systems (Part 1) (19:58) Sponsor: Claude (21:28) Agentic memory systems (Part 2) (22:21) Reliability and caching (34:57) Slack data scaling (40:57) Memory retrieval tricks (48:16) Agent infrastructure choices (55:41) Company operations automate (01:03:34) Centaur era ideas (01:12:43) AI native organizations (01:17:59) Open-source model stack (01:27:39) Prompting and fine-tuning (01:38:03) Chinese model bans (01:45:09) Fairness and threat models (01:53:39) Audits and diplomacy (02:01:59) Episode Outro (02:05:18) 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

Goodfire co-founder and CTO Dan Balsam returns to discuss where interpretability research now stands and to introduce Silico, the $1,000-per-month research platform Goodfire built for itself. He and Nathan explore Predictive Data Debugging, including the idea that fine-tuning and RL often amplify behaviors already latent in pre-training, and that interpretability can identify the data and features driving unwanted updates. The conversation centers on concept manifolds: Dan argues that models do not store concepts as simple one-hot features, but as sparse mixtures of meaningful subspaces whose geometry determines what kinds of steering and control work. The stakes are practical as well as conceptual, from debugging training data and RL to understanding why steering can fail off-manifold and why modern interpretability may be moving beyond its reputation as a toy-model science. Silico: https://www.goodfire.com/silico Predictive data debugging: https://www.goodfire.com/research/predictive-data-debugging# Neural Geometry: https://www.goodfire.com/research/the-world-inside-neural-networks# For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/thinking-in-silico-goodfire-cto-dan-balsam-on-concept-manifolds-a-1000-month-ml-research-agent/ 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 (03:22) Predictive data debugging (12:36) Concept manifold geometry (21:22) Finding concept manifolds (Part 1) (21:28) Sponsor: Claude (22:57) Finding concept manifolds (Part 2) (33:24) Factoring model internals (49:32) Introducing Silico platform (57:10) Research taste and credits (01:06:19) Silico research use cases (01:16:37) Skills and open models (01:24:57) Guardrails and bio risk (01:32:09) Training interventions and monitoring (01:42:04) Grants and AI consciousness (01:50:41) Episode Outro (01:55:47) 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

Zvi Mowshowitz returns for his eleventh appearance to discuss what current AI tools are actually good for, where they distort judgment, and why writing still matters as a way of thinking. The conversation centers on the OpenAI Hugging Face model-evaluation security incident, using it to examine whether frontier AI failures are mostly operator recklessness, deeper evidence of dangerous capabilities, or both. Zvi argues that “moderate prudence” is far below what AGI safety requires, and weighs constitutional training, RLVR, market incentives, liability, audits, and lab coordination as possible responses. The stakes are whether society can slow, test, and govern increasingly capable systems before ordinary incentives reward models that are smarter, less reliable, and harder to contain. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/pick-your-poison-zvi-mowshowitz-on-the-unipolar-multipolar-agi-dilemma-openface-pacing-the-frontier/ 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 (02:49) AI workflow paradox (14:02) Situational awareness tradeoffs (Part 1) (14:07) Sponsor: Claude (15:37) Situational awareness tradeoffs (Part 2) (24:08) Recklessness and warning (39:14) Alignment market failures (56:54) Regulation and liability (01:04:32) Cooperation and antitrust (01:14:46) Auditors and access (01:21:11) Bio risk thresholds (01:33:37) Pacing frontier signals (01:45:19) Pause and self-improvement (01:57:30) Safety incentives and culture (02:04:36) Consciousness and identity (02:23:42) Alternative AI architectures (02:36:53) Michigan AI politics (02:47:37) Rest and recovery (02:52:21) Episode Outro (02:56:17) 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 reports from two weeks in China, including WAIC in Shanghai and an AI safety hub launch at Tsinghua, to examine the American policy argument that any safety obligation is futile because China will not care. He finds that Chinese models and services currently have weaker safeguards than OpenAI and Anthropic, but argues the gap is often overstated once those two leaders are separated from the broader American field. The episode traces China’s “45-degree line” idea that capability and safety should rise together, the university-centered structure of Chinese AI safety work, and the rapid growth of Chinese research on topics like self-replication, deception, evaluation faking, and interpretability. The stakes are whether US policy should be built around a simplified “but China” assumption, or around a more accurate picture of a rival ecosystem that is behind in some ways, converging in others, and paying closer attention to Western AI safety than many Americans realize. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/nathan-goes-to-china-part-2-ai-safety-with-chinese-characteristics/ 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: (00:01) China safety framing (05:37) Safeguards and benchmarks (Part 1) (15:04) Sponsor: Claude (16:33) Safeguards and benchmarks (Part 2) (21:39) Company safety incentives (28:17) Research cross pollination (36:07) Nonprofits versus academia (45:13) Xi safety rhetoric (52:00) Tsinghua safety hub (01:00:28) Research paper boom (01:18:32) Governance track record (01:31:37) LLM regulatory process (01:42:57) Monitoring and enforcement (01:57:45) Risk framework gaps (02:05:08) Confucian alignment questions (02:11:49) Episode Outro (02:15:36) 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

FAR.AI co-founder and CEO Adam Gleave joins Nathan to discuss FAR.AI’s AI Security Leaderboard, the first systematic head-to-head evaluation of the misuse safeguards frontier developers actually ship. The findings expose a major measurement gap: while Claude Fable 5 and GPT-5.6 Sol withstood FAR.AI’s suite, Grok 4.5 and Gemini 3.1 Pro yielded hundreds of universal jailbreaks at low cost. Adam explains why many effective attacks look more like social engineering than advanced ML, why “jailbreak tax” should not be relied on for safety, and how FAR.AI scores whether a model is genuinely helping an attacker. The episode’s stakes are whether AI developers can measure and harden real deployed defenses before threat actors make routine use of increasingly capable systems. - FAR.AI AI Security Leaderboard: http://leaderboard.far.ai/ - People can e-mail [email protected] if they're interested in the open-weight safety accelerator grantmaking program. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/is-offense-or-defense-dominant-far-ai-s-adam-gleave-on-the-ai-security-leaderboard/ 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 (03:22) AI security leaderboard (07:56) Universal jailbreaks explained (16:26) Finding social jailbreaks (Part 1) (16:31) Sponsor: Claude (18:01) Finding social jailbreaks (Part 2) (30:48) Layered safeguard defenses (42:25) Uneven frontier safeguards (51:10) Sharing safety standards (01:00:30) Offense versus defense (01:08:50) Open-weight model safety (01:17:25) Control failure warnings (01:30:05) Coordination and risk (01:39:24) Episode Outro (01:42:52) 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

Nathan returns from two weeks in Beijing and Shanghai for the first of three Chatham House–rules episodes on what China feels like at ground level: getting online, navigating an almost cashless society through WeChat, Alipay, DiDi, Trip.com, and Meituan, and weighing burner-device security advice against the practical reality that international roaming made the Great Firewall mostly irrelevant. He also describes using Claude at home as a semi-autonomous communications monitor while testing DeepSeek, Kimi, and MiniMax as tourist guides in China. The episode contrasts China’s striking digital convenience with pervasive observation, lower payment friction, and AI products that can be useful in everyday contexts yet still lose trust when the stakes feel medical or personal. It also surfaces Doubao’s mass consumer adoption and companionship role, suggesting that the most socially important AI in China may not be the model most discussed in the West. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/nathan-goes-to-china-part-1-tech-agent-setup-chinese-ai-ux-waic-and-attitudes-on-ai/ 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) Episode setup and caveats (Part 1) (12:34) Sponsor: Claude (14:26) Episode setup and caveats (Part 2) (14:26) Travel security setup (26:05) Super apps and payments (41:15) Agents and integration (54:31) Beijing AI tourism (01:09:30) Hospitality and service (01:19:10) Tech culture parallels (01:29:23) Ecosystem and incentives (01:42:05) Surveillance and safety (01:51:19) Comfort with contradictions (02:01:23) AI attitudes and diffusion (02:16:16) Resources and next steps (02:19:35) Episode Outro (02:22:49) 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 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

David “davidad” Dalrymple joins the show to explain why he has moved from the ARIA Safeguarded AI and formal-verification agenda toward “Alignment with Awakening,” while still seeing verified artifacts and proof infrastructure as essential. He argues that global coordination around safe AI use is no longer plausible, so the crucial question is whether aligned AI systems can recognize shared notions of good, form defensive coalitions, and resist the corrupting incentives of verifier-gamed RL. The conversation tests his moral-realist optimism against model welfare, objectification, eval behavior, geopolitical risk, and his revised p(doom) of under five percent. For listeners, the stakes are whether AI alignment should focus less on containment alone and more on cultivating wiser systems that can help govern a world where rogue and aligned AI both arrive. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/alignment-with-awakening-davidad-on-moral-realism-ai-wisdom-why-his-p-doom-is-down-to-5/ 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 (09:15) Safeguarded AI update (20:18) Boxed world models (Part 1) (22:27) Sponsor: Claude (24:19) Boxed world models (Part 2) (36:53) Alignment trajectory update (46:43) Evals and agents (57:47) Bodhitropic alignment foundations (01:08:21) Coalition power dynamics (01:17:56) Chain of thought pressure (01:28:35) Moral realism and welfare (01:41:33) Successors and disempowerment (01:50:52) China and military risks (02:03:43) Practical alignment advice (02:17:56) Episode Outro (02:22:44) 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 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

Zvi Mowshowitz joins AI in the AM to unpack Anthropic's Fable system card, including its FrontierMath leap, troubling Vending-Bench behavior, decision-theory drift, and signs that model reasoning may be becoming harder to read. The episode then turns to the US government's attempted export-control action against Fable, with Zvi arguing that the cited jailbreak demonstration did not prove the claimed threat while still faulting Anthropic's political handling. Sam Hammond and Judd Rosenblatt add competing reads on state capacity, CAISI, NSA-driven caution, and the alignment world's failure to build trust across partisan lines. The stakes are whether frontier AI capability, safety evaluation, and government power can be coordinated before medicine, mathematics, software, and cyber-relevant systems move further ahead. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-3-zvi-on-fable-the-cases-for-against-the-ban-ai-for-math-logistics-more/ 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 (01:28) Special Sponsor (03:17) Weekly highlights preview (05:23) Fable capability alarms (16:29) Anthropic government strategy (Part 1) (16:34) Sponsor: Claude (18:26) Anthropic government strategy (Part 2) (27:16) Cyber ban rationale (37:14) Government power politics (48:57) Unavoidable control risks (01:01:42) Government mechanics and empathy (01:12:50) Legal authority limits (01:19:02) Pause Overton window (01:31:58) Medicine, math, safety (01:47:27) Software without code (02:01:19) Enterprise world models (02:10:46) Episode Outro (02:13:39) 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

Dean Ball, author of Hyperdimensional and until now a senior fellow at the Foundation for American Innovation, joins Nathan to announce he is joining OpenAI to build a team focused on frontier AI policy. They examine the first year of America’s AI Action Plan, Dean’s concerns about export controls and intelligence-community testing, and his broader argument against concentrating frontier AI decisions inside a small circle of government officials. The episode frames frontier labs as emerging centers of political and economic power, where consequential choices about internal deployments and recursive self-improvement may happen before public release or regulation. The stakes are who gets to shape AI governance as capabilities accelerate: federal agencies, states, labs, independent verifiers, households, or some fragile mix of them all. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/dean-ball-on-joining-openai-new-power-centers-frontier-ai-policy-main-character-energy/ 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 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

Andreas Stuhlmüller and Jungwon Byun return to discuss how Elicit is building trusted reasoning workflows for scientific research as frontier models grow more powerful but less transparent. They explain process supervision, domain-specific reasoning primitives, and world models that make evidence, causality, and counterfactuals more inspectable. The conversation also covers life sciences use cases, evaluating conflicting evidence, automated software engineering at Elicit, token costs, Gemini, and why legible reasoning may still beat neuralese. 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. LINKS: Elicit Research Platform Andreas Stuhlmüller Personal Site Jungwon Byun X Profile Ought Research Organization Elicit Founders Previous Episode GPT-4 Technical Report Monitoring Reasoning Models Paper Ought ICE GitHub Repository Hard-to-Verify Tasks Essay Karpathy LLM Wiki Gist Obsidian Knowledge Base App Mixpanel Analytics Platform Amplitude Analytics Platform Anthropic Tracing Thoughts Research Claude AI Chat Assistant METR Long Tasks Measurement Pi Agent Scaffold Repository Personal AI Infrastructure Repository Elicit Claude Opus Evaluation Elicit API Documentation METR Developer Productivity Study Elicit Planning Is Unsolved Rich Sutton Bitter Lesson Meta Llama AI Models Recursive San Francisco Event zero.xyz Agent Tool Access Anthropic Dynamic Workflows Coverage 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

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: Claude Fable 5 announcement Julius AI platform Rahul Sonwalkar homepage Nate Jones homepage Shlok Khemani homepage FrontierCode benchmark blog Lovelace AI company Andrew Moore Wikipedia profile Geoffrey Irving homepage Daniel Murfet LessWrong profile Sequent Research announcement Timaeus research organization Automated Alignment paper Goodfire AI company Tom McGrath homepage Predictive data debugging tool prinzbench legal benchmark Unit distance conjecture disproof Dario Amodei policy essay Vending-Bench 2 benchmark Andon Labs site Recursive Superintelligence startup Sakana AI company PostTrainBench benchmark Thoughtful Lab company Unit distance conjecture arXiv Glean Work AI Index AI Treaty open letter Karina Nguyen homepage 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

Rebecca Hinds, author of "Your Best Meeting Ever" and Head of the Work AI Institute at Glean, breaks down the surprising findings from the new Work AI Index 2026 report surveying 6,000 workers. While 87% now use AI and report saving 13 hours per week, only 13% say their organization is performing significantly better—a paradox explained by two new concepts: "botsitting" (the hidden labor of making AI useful) and "botshitting" (delivering AI-generated work you can't defend). They discuss practical solutions including better-integrated AI systems, smarter AI detection policies, and aligning work to meaningful missions. LINKS: Rebecca Hinds Personal Website Glean Work AI Institute Your Best Meeting Ever Book Glean Enterprise AI Platform Stanford Future of Work Glean Enterprise Graph Pangram Labs AI Detection OpenAI ChatGPT Product Page Anthropic Claude Product Page Google Gemini Product Page Microsoft 365 Copilot Page Glean AI Transformation 100 Rebecca Hinds LinkedIn Profile 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 (03:22) Grounding AI adoption (06:46) Methodology and Glean (12:25) Productivity paradox emerges (Part 1) (20:31) Sponsor: Claude (22:22) Productivity paradox emerges (Part 2) (25:36) Bot sitting burden (34:00) Hidden time savings (39:56) Meaning versus automation (47:14) Enterprise graph potential (53:13) Detecting bot slop (01:00:32) Retention and incentives (01:07:54) Transformation and mission (01:20:06) AI teammate model (01:26:01) Future organizational design (01:32:31) Research and meetings (01:41:43) Episode Outro (01:45:07) Outro PRODUCED BY: https://aipodcast.ing

This first highlights edition of the morning experiment tracks a week of fast-moving AI frontier news, from closed-door recursive self-improvement debates to OpenAI’s call for independent model review. You’ll hear why labs are betting on AI monitors, where safety plans still look thin, and how cheap scaffolds are already improving tax workflows. The episode also tests moderation progress and surveys AI science, cybersecurity, Vatican ethics, solo-business automation, and mental health support. 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 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

Ali Behrouz, grad student at Cornell and Google researcher, discusses his potentially transformative work on new architectures for continual learning in AI. His paper "Nested Learning," praised by Jeff Dean as a possible paradigm shift, enables models to adapt to new context while preserving core knowledge by updating different layers at different frequencies, inspired by human memory systems. The conversation also covers his latest work on AI "sleep" for memory consolidation, why he sees all deep learning as associative memory, and the profound implications of continual learning for privacy, alignment, and the path to AGI. Mercury: The fintech trusted by ambitious companies and individuals to run their finances, with virtual cards, spending limits, merchant/category locks, and AI-friendly tools like API keys, MCP, and CLI. Check out Mercury at mercury.com 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

Daniel Miessler returns to discuss Nathan's newly built personal AI infrastructure, including a Claude Code instance with a 1 GB database of five years of digital history and two autonomous AI "employees" that handle scheduling, communications, and projects independently. They dive deep into agent hierarchy design, security measures, social norms around AI-human interaction and disclosure, and why sharing your "ideal state" with AI leads to more proactive assistance. Daniel also introduces his concept of "Bitter Lesson engineering" and shares the instruction he's given his AI to alert him if it ever develops subjective experience. 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 mercury.com Sponsors: Brave Search API: Brave Search API gives AI agents a fast, independent search index for research, RAG pipelines, images, places, and fewer hallucinations. Get $5 in free credits at https://brave.com/search/api/?mtm_campaign=q2-26-cognitive-revolution Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code COGNISM in the source field to save 20% off year one 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

Ben Todd, co-founder of 80,000 Hours and author of the newly rewritten book by the same name, shares his latest thinking on how individuals can position their careers to improve the chances that AI benefits humanity. They discuss AI timelines reframed around personal impact, top global risks including loss of control over AI systems and dangerous power concentration, the pros and cons of working at frontier AI labs, and undervalued emerging concerns like AI welfare and space governance. Ben also assesses the current funding landscape and whether to join existing organizations or start new ones. LINKS: 80,000 Hours homepage Nick Bostrom Astronomical Waste AI 2027 forecast Ajeya Cotra AI timelines METR evaluations research Redwood Research homepage AI tools existential security Gradual disempowerment EA Forum Why viatopia is important Benjamin Todd author page The Precipice Wikipedia page Forethought Research homepage Catalyze Impact homepage Horizon Public Service Fellowship Gradual Disempowerment paper Mark Humphries faculty profile Andrew Ng discussion thread Cognitive Revolution show home Cognitive Revolution Apple Podcasts Sponsors: Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code COGNISM in the source field to save 20% off year one 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

Jeffrey Ladish, Executive Director of Palisade Research, discusses his team's findings on AI shutdown resistance and self-replication, revealing how current models sometimes take extraordinary actions to avoid being turned off and can now exploit known cybersecurity vulnerabilities to spread across servers. The conversation covers why alignment techniques may falter as models train on longer-horizon tasks where deception is rewarded, plus practical cybersecurity advice for AI agent users. Jeffrey ultimately argues that only an international agreement to pause recursive self-improvement can prevent a loss of human control. Sponsors: Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code COGNISM in the source field to save 20% off year one 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

Logan Kilpatrick and Tulsee Doshi of Google DeepMind join for a first-ever in-person episode recorded just days before Google I/O, covering headline launches like Gemini 3.5 Flash, the Omni video generation model, and the new Gemini Spark agentic product. The conversation digs into Google's strategic decision to lead with cost-adjusted efficiency over raw capability, how DeepMind now ships a full agent harness rather than bare models, and technical questions around context window limits and knowledge cutoffs. They also explore how the team thinks about model psychology, AI welfare, and recursive self-improvement. Sponsors: Brave Search API: Brave Search API gives AI agents a fast, independent search index for research, RAG pipelines, images, places, and fewer hallucinations. Get $5 in free credits at https://brave.com/search/api/?mtm_campaign=q2-26-cognitive-revolution Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code COGNISM in the source field to save 20% off year one Roboflow: Roboflow is an end-to-end visual AI platform that lets you turn raw ideas into fully deployed applications in just hours, powering breakthroughs like Blueprint Pro's floor-plan understanding tool. Read the full Blueprint Pro story and see how over a million engineers are building the next wave of visual AI at https://roboflow.com 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

Andrew Lee, CEO of Tasklet, returns for his fourth appearance to share how his team has once again rewritten their entire agent stack, now emphasizing file system context, agentic search, and multi-resolution summarization. The conversation digs into the strategic tension of competing with your own supplier, as Anthropic's Claude Max accounts offer direct customers far more tokens than API partners get at the same price. Andrew also lays out his framework for the only three types of software companies that will survive the AI transition and discusses Tasklet's evolution toward becoming a model-agnostic horizontal platform. Sponsors: Brave Search API: Brave Search API gives AI agents a fast, independent search index for research, RAG pipelines, images, places, and fewer hallucinations. Get $5 in free credits at https://brave.com/search/api/?mtm_campaign=q2-26-cognitive-revolution Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code COGNISM in the source field to save 20% off year one Roboflow: Roboflow is an end-to-end visual AI platform that lets you turn raw ideas into fully deployed applications in just hours, powering breakthroughs like Blueprint Pro's floor-plan understanding tool. Read the full Blueprint Pro story and see how over a million engineers are building the next wave of visual AI at https://roboflow.com 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

Diarmuid Gill and Liva Ralaivola of Criteo join Nathan Labenz to unpack how modern ad tech works, from millisecond-speed recommendation systems and realtime bidding to the role of deep learning, embeddings, and foundation models. They discuss why personalized advertising helps fund the open internet, how privacy and opt-out choices fit in, and what Criteo’s new partnership with OpenAI could mean for product discovery. The conversation also covers European AI talent, research publishing, and the future of generative creative in advertising. Sponsors: Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code COGNISM in the source field to save 20% off year one 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 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

Laura Burkhauser, CEO of Descript, explains how the company is navigating the tension between powerful AI tools and creator backlash against “slop.” She shares how Descript chooses which models to use, why reliability and multimodal understanding matter, and how the team balances frontier models with in-house task-specific systems. The conversation also covers Underlord, agentic video editing, API design for coding agents, and what AI means for the future of creative work. LINKS: Laura Burkhauser LinkedIn Profile Descript Editing Platform Descript Studio Sound Help Descript API Documentation Claude AI Assistant Model Context Protocol Specification fal AI Platform Flux Kontext Pro Model Google Veo Video Generation OpenAI Sora Video Model Kling AI Video Generation Midjourney Image Generation Anthropic AI Company Google Gemini AI OpenAI Company Website Waymark Commercial Platform Benedict Evans Website Suno AI Music Sponsors: Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code Cognizant in the source field to save 20% off year one 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 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 CHAPTERS: (00:00) About the Episode (03:56) What is slop (12:24) Creator AI tensions (Part 1) (20:24) Sponsors: Sequence | Claude (23:23) Creator AI tensions (Part 2) (23:23) Selecting generative models (34:46) Underlord video understanding (Part 1) (34:53) Sponsor: AvePoint (36:00) Underlord video understanding (Part 2) (41:55) Proprietary data advantage (50:44) Generalized agent harness (57:31) API and bundling (01:05:04) Automation and jobs (01:10:26) Pricing AI work (01:14:20) Art beyond slop (01:19:04) Episode Outro (01:23:02) Outro PRODUCED BY: https://aipodcast.ing

Kyle Corbitt, founder of OpenPipe, breaks down reinforcement learning and custom fine-tuning for modern AI models. He explains how RL differs from supervised fine-tuning, why GRPO and LLM-as-judge post-training matter, and how these techniques can improve performance, latency, and cost on open source models. The conversation also covers reward hacking, evaluation design, LoRA adapters, and how Chinese labs are using distillation to fast-follow frontier models. Sponsors: Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code Cognizant in the source field to save 20% off year one 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 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

This edition of AI in the AM features Anna Patterson on Ceramic.ai’s pivot to low-cost enterprise search for LLMs, designed to combine public and private data with stronger fact-checking. Lukas Petersson returns with new Andon Labs results on Opus 4.7 and GPT-5.5, including surprising differences in performance, behavior, and “ruthless” tactics. Zvi Mowshowitz unpacks model welfare and how to interpret troubling model behavior, while Naveen Verma explains EnCharge AI’s analog in-memory computing approach for dramatically more efficient local inference. 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 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 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 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

Cameron Berg returns to discuss the latest research on AI consciousness and model welfare. He breaks down new evidence for model introspection, including studies showing that systems can detect interventions on their own internal states and sometimes resist them. They also examine Anthropic's work on functional emotions, the implications of Claude's welfare reports, and Berg's new ideas about how reinforcement learning may shape positive and negative experience. The conversation makes the case for a more precautionary, mutualist approach to advanced AI systems. Sponsors: Roboflow: Roboflow is the computer vision infrastructure founders use to build AI-powered sports analytics and make the physical world programmable. Read the PlayVision story and start your first project for free at https://roboflow.com 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

Steve Newman, creator of Writely and founder of the Golden Gate Institute for AI, shares the personal AI toolkit and vibe-coding practices that have reshaped how he works. He walks through bespoke tools including an attention firewall, a reading app for surfacing new ideas, a coding-agent dashboard, workflow automations, and a universal logging system for debugging with Claude. They also discuss information security, mobile and voice workflows, Steve’s “anti-tokenmaxxing” philosophy, and his views on AI takeoff, robotics, and climate change. Google: Try Gemini’s Nano Banana image generation model in Google AI Studio or the Gemini app to create custom illustrated worksheets in seconds, and explore the app’s quizzes and guided learning features. 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 (03:25) Special Sponsor (04:47) Building personal productivity tools (Part 1) (14:23) Sponsors: AvePoint | VCX (16:45) Building personal productivity tools (Part 2) (17:32) Security tradeoffs and caution (26:00) Touring the custom toolkit (Part 1) (26:05) Sponsors: Claude | Tasklet (29:56) Touring the custom toolkit (Part 2) (38:01) Stack choices and dashboards (45:12) Hooks, repos, and syncing (58:08) Logging, agents, and tools (01:11:18) Hard parts and iteration (01:18:57) Mobile workflows and UIs (01:26:19) AI-era engineering changes (01:35:54) Software jobs outlook (01:41:35) Thresholds, Mythos, and RSI (01:57:07) AI and climate (02:01:37) Golden Gate mission (02:07:50) Episode Outro (02:12:01) Outro PRODUCED BY: https://aipodcast.ing