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
