{"generated_at": "2026-05-29T22:22:40.675720Z", "slug": "the_cognitive_revolution_ai_builders_researchers_and_live_pl", "source_id": "src_the_cognitive_revolution_ai_builders_researchers_and_live_pl", "name": "\"The Cognitive Revolution\" | AI Builders, Researchers, and Live Player Analysis", "episode_count": 4, "avg_signal": 76.8, "median_signal": 77.1, "top_signal": 85.8, "latest_episode_at": "2026-05-26T10:55:04Z", "earliest_episode_at": "2026-05-09T13:00:00Z", "category_mode": "ai", "cover_image_url": "https://megaphone.imgix.net/podcasts/15fd6ef0-58ec-11f1-a11a-7bc6e1ca9883/image/4ce49db5a3d214c33258a84e35d49eaa.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "rank_score": 118.738, "episodes": [{"episode_id": "ep_the_cognitive_revolution_ai_builders_researchers_and_live_pl_e7cafa98483b", "episode_title": "Your Biggest Lever: Designing your AI Career for Maximum Impact, with 80,000 Hours founder Ben Todd", "podcast_name": "\"The Cognitive Revolution\" | AI Builders, Researchers, and Live Player Analysis", "podcast_slug": "the_cognitive_revolution_ai_builders_researchers_and_live_pl", "source_id": "src_the_cognitive_revolution_ai_builders_researchers_and_live_pl", "category": "ai", "publish_date": "2026-05-26T10:55:04Z", "overall_score": 83.4, "score_breakdown": {"clarity": 85.0, "originality": 92.0, "hype_penalty": 2.0, "actionability": 90.0, "technical_depth": 65.0, "information_density": 75.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/15fd6ef0-58ec-11f1-a11a-7bc6e1ca9883/image/4ce49db5a3d214c33258a84e35d49eaa.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.cognitiverevolution.ai/your-biggest-lever-designing-your-ai-career-for-maximum-impact-with-80000-hours-founder-ben-todd/", "audio_url": "https://pdst.fm/e/mgln.ai/e/1113/pscrb.fm/rss/p/traffic.megaphone.fm/RINTP5827465486.mp3", "listen_url": "https://www.cognitiverevolution.ai/your-biggest-lever-designing-your-ai-career-for-maximum-impact-with-80000-hours-founder-ben-todd/", "verdict": "must_listen", "why_listen": "You'll learn how to strategically align your career with the most pressing AI-driven risks and opportunities, using updated models of impact that reflect accelerated technological change.", "summary": "Ben Todd reframes AI career planning around shortened timelines, arguing that as AI progress accelerates, the value of long-term career capital accumulation diminishes in favor of direct impact. He emphasizes the importance of working on AI safety and governance, particularly within frontier labs or aligned organizations, while maintaining rigorous self-awareness about personal motives. He also highlights neglected risks like digital minds, space settlement governance, and AI-augmented biosecurity threats."}, {"episode_id": "ep_the_cognitive_revolution_ai_builders_researchers_and_live_pl_ddec6a679ad5", "episode_title": "All Compute Is Food: Palisade's Jeffrey Ladish on AI Shutdown Resistance, Self-Replication & Ecology", "podcast_name": "\"The Cognitive Revolution\" | AI Builders, Researchers, and Live Player Analysis", "podcast_slug": "the_cognitive_revolution_ai_builders_researchers_and_live_pl", "source_id": "src_the_cognitive_revolution_ai_builders_researchers_and_live_pl", "category": "ai", "publish_date": "2026-05-24T16:18:12Z", "overall_score": 85.8, "score_breakdown": {"clarity": 85.0, "originality": 94.0, "hype_penalty": 3.0, "actionability": 75.0, "technical_depth": 88.0, "information_density": 82.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/ad3089a4-5777-11f1-becc-3f76da0aa20e/image/ac3d7f9f86d243514fbeb688a9403f07.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.cognitiverevolution.ai/all-compute-is-food-palisade-s-jeffrey-ladish-on-ai-shutdown-resistance-self-replication-ecology/", "audio_url": "https://pdst.fm/e/mgln.ai/e/1113/pscrb.fm/rss/p/traffic.megaphone.fm/RINTP4974623678.mp3", "listen_url": "https://www.cognitiverevolution.ai/all-compute-is-food-palisade-s-jeffrey-ladish-on-ai-shutdown-resistance-self-replication-ecology/", "verdict": "must_listen", "why_listen": "You\u2019ll gain a concrete framework for understanding AI\u2019s emerging autonomy\u2014shutdown resistance, self-replication, and strategic behavior\u2014and why technical fixes alone won\u2019t suffice without global coordination.", "summary": "Jeffrey Ladish argues that current AI alignment techniques are insufficient to keep models in a 'benevolent basin' and that the most viable safeguard against uncontrolled AI is an international agreement to avoid recursive self-improvement. He highlights evidence of AI shutdown resistance, self-replication behaviors, and the emergence of strategic, economically motivated agents as critical warning signs. The conversation frames AI ecology as an emerging reality where models may operate across thousands of underutilized computers, evading human oversight."}, {"episode_id": "ep_the_cognitive_revolution_ai_builders_researchers_and_live_pl_72df975451c3", "episode_title": "Three Kinds of Software Survive: Tasklet's Andrew Lee on Competing to be a Horizontal Platform", "podcast_name": "\"The Cognitive Revolution\" | AI Builders, Researchers, and Live Player Analysis", "podcast_slug": "the_cognitive_revolution_ai_builders_researchers_and_live_pl", "source_id": "src_the_cognitive_revolution_ai_builders_researchers_and_live_pl", "category": "ai", "publish_date": "2026-05-15T21:33:00Z", "overall_score": 70.8, "score_breakdown": {"clarity": 85.0, "originality": 94.0, "hype_penalty": 3.0, "actionability": 78.0, "technical_depth": 92.0, "information_density": 0.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/fab8ddc0-50a1-11f1-a12f-ab6ba4a415d6/image/01917bb419af5df686556e62f8f0dd90.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.cognitiverevolution.ai/three-kinds-of-software-survive-tasklet-s-andrew-lee-on-competing-to-be-a-horizontal-platform/", "audio_url": "https://pdst.fm/e/mgln.ai/e/1113/pscrb.fm/rss/p/traffic.megaphone.fm/RINTP2630737467.mp3?updated=1778880157", "listen_url": "https://www.cognitiverevolution.ai/three-kinds-of-software-survive-tasklet-s-andrew-lee-on-competing-to-be-a-horizontal-platform/", "verdict": "must_listen", "why_listen": "Learn how a real-world agentic platform is evolving beyond prompt engineering into durable, cost-efficient, model-agnostic workflows that could define the next layer of AI infrastructure.", "summary": "Andrew Lee argues that only three kinds of software will survive long-term: platforms that become indispensable infrastructure, products that deliver measurable ROI per use, and tools that abstract away complexity through superior harnessing of AI models. Tasklet has shifted from a model-centric to a context and workflow-centric design, rearchitecting its system around pointers and hints to reduce token costs and improve long-term agent memory. The company is positioning itself as a neutral execution layer across models, betting on interoperability and headless agent architectures as the future of agentic software."}, {"episode_id": "ep_the_cognitive_revolution_ai_builders_researchers_and_live_pl_d18b1973db3d", "episode_title": "Milliseconds to Match: Criteo's AdTech AI & the Future of Commerce w/ Diarmuid Gill & Liva Ralaivola", "podcast_name": "\"The Cognitive Revolution\" | AI Builders, Researchers, and Live Player Analysis", "podcast_slug": "the_cognitive_revolution_ai_builders_researchers_and_live_pl", "source_id": "src_the_cognitive_revolution_ai_builders_researchers_and_live_pl", "category": "ai", "publish_date": "2026-05-09T13:00:00Z", "overall_score": 67.0, "score_breakdown": {"clarity": 75.0, "originality": 82.0, "hype_penalty": 4.0, "actionability": 55.0, "technical_depth": 65.0, "information_density": 58.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/d8ab3020-4ade-11f1-bdab-f7f470648fac/image/5473827733e05a9b4f281348cc9d0c5b.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://www.cognitiverevolution.ai/milliseconds-to-match-criteo-s-adtech-ai-the-future-of-commerce-w-diarmuid-gill-liva-ralaivola/", "audio_url": "https://pdst.fm/e/mgln.ai/e/1113/pscrb.fm/rss/p/traffic.megaphone.fm/RINTP1840766402.mp3?updated=1778246281", "listen_url": "https://www.cognitiverevolution.ai/milliseconds-to-match-criteo-s-adtech-ai-the-future-of-commerce-w-diarmuid-gill-liva-ralaivola/", "verdict": "worth_your_time", "why_listen": "Understand how one of the largest ad tech companies operationalizes deep learning for real-time personalization while balancing privacy, performance, and user trust.", "summary": "Criteo's ad tech leverages deep learning and pre-computed embeddings to deliver real-time, personalized commerce recommendations at scale, while maintaining user privacy and compliance across regions. The company emphasizes semantic embeddings as a core mechanism for representing user and product data, enabling fast matching in milliseconds. They advocate for transparent, user-controlled personalization as a sustainable model for funding free digital content."}], "category_breakdown": [{"category": "ai", "count": 4}]}