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

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

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

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

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

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

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