『"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis』のカバーアート

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

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

著者： Erik Torenberg Nathan Labenz
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A biweekly podcast where hosts Nathan Labenz and Erik Torenberg interview the builders on the edge of AI and explore the dramatic shift it will unlock in the coming years. The Cognitive Revolution is part of the Turpentine podcast network. To learn more: turpentine.co2023 マネジメント・リーダーシップ リーダーシップ 社会科学 経済学
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  • Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses

    Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses
    2026/08/14
    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
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    2 時間 7 分
  • Thinking in Silico: Goodfire CTO Dan Balsam on Concept Manifolds & a $1000/Month ML Research Agent

    Thinking in Silico: Goodfire CTO Dan Balsam on Concept Manifolds & a $1000/Month ML Research Agent
    2026/08/08
    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
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    1 時間 57 分
  • Pick Your Poison: Zvi Mowshowitz on the Unipolar/Multipolar AGI Dilemma, OpenFace & Pacing the ...

    Pick Your Poison: Zvi Mowshowitz on the Unipolar/Multipolar AGI Dilemma, OpenFace & Pacing the ...
    2026/08/05
    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
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    2 時間 58 分
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