Dratsi Pod

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How the Body Shapes the Way We Think: A New View of Intelligence (Pfeifer & Bongard)

2026-10-2157:14

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!Series: AI Books · Book deep diveRolf Pfeifer and Josh Bongard argue that intelligence emerges through interactions among the brain, the body, and the environment.Robot experiments show how physical form and sensory-motor coordination can contribute to behavior that otherwise appears to require complex computation.The authors develop design principles for complete agents, including ecological balance, redundancy, and coordination among loosely coupled processes.They connect embodiment to development, evolution, collective intelligence, and the emergence of cognition.Applications to memory, everyday robots, and intelligent organizations explore how these principles extend beyond individual machines.Source: How the Body Shapes the Way We Think: A New View of Intelligence · Rolf Pfeifer and Josh BongardExplore: AI & Computer Science · AI BooksRelated episodes: Neuromorphic Intelligence (Yang & Chen) · Bayesian Theories of Cognition (Griffiths, Chater & Tenenbaum)

Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation

2026-10-2146:58

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!Series: Weekly AI Papers · Recent researchAny Time, Any Space tackles the problem of keeping generated video shots consistent across changes of place, viewpoint, and time.The framework turns a screenplay into shot requests with explicit scene, camera, and event-time references.Scene memory stores registered static geometry, while event memory retains dynamic observations indexed by scene, event, and time.Before generating a shot, the system retrieves relevant evidence; afterward, review and state checks decide whether new observations enter memory.The authors report improvements in cross-shot consistency, spatial revisiting, and event replay across four video generators.Source: Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation · Weijie Wang, Haomin Zhang, Ye Li et al.Explore: AI & Computer Science · AI PapersRelated episodes: V-JEPA (LeCun) · VisionHOPE: Visual Backbones as Self-Modifying Learning Systems

An Advanced Course in Probability and Stochastic Processes (Kroese & Botev)

2026-10-2152:58

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!Series: Mathematics & ScienceBook: An Advanced Course in Probability and Stochastic Processes by Dirk P. Kroese and Zdravko I. Botev.Kroese and Botev build a rigorous account of probability from measurable spaces, integration, and random variables.They compare different forms of convergence and develop the law of large numbers and central limit theorem.Conditional expectation connects information and independence to Markov chains and other stochastic processes.Martingales, stopping times, and Brownian motion reveal how random systems evolve over time.The book brings these ideas together through stochastic integration, Itô calculus, and stochastic differential equations.Source: Authors’ official book page · Chapman & Hall/CRC · 2023 · ISBN 9781032320465. Read the free author-provided book.Explore: More Mathematics & Science episodes · Browse all seriesRelated episodes: First Course in Causal Inference (Peng Ding) · Graph Theory (Diestel)

Human-in-the-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI (Robert Monarch)

2026-10-1701:07:54

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!Series: AI Books · Book deep diveBook: Human-in-the-Loop Machine Learning: Active Learning and Annotation for Human-Centered AI by Robert (Munro) Monarch.Robert Monarch explains how human judgment and machine learning can work together to build better models.Active learning uses uncertainty and diversity sampling to select examples that most need human feedback.The book examines how to recruit annotators, write instructions, and measure agreement and annotation quality.It connects reliable training and evaluation data with transfer learning and other ways to improve labeling workflows.Annotation interfaces and human-computer interaction bring these methods together in practical machine learning products.Source: Manning Publications · 2021 · 424 pages · ISBN 9781617296741.Explore: AI & Computer Science · AI Books · AI PapersRelated episodes: Learning Representations by Back-Propagating Errors (Rumelhart, Hinton & Williams) · Machines That Think Like People (Lake et al.)

The Final Solution to the Jewish Question: A Love Story for the Living (Dara Horn)

2026-10-0759:38

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!Series: History & JudaismBook: The Final Solution to the Jewish Question: A Love Story for the Living by Dara Horn.Dara Horn examines why antisemitism persists and why familiar responses often fail to confront it.She combines historical research, reporting, and personal experience to trace recurring myths about Jews.The book questions prevailing approaches to Holocaust education and examines anti-Zionism and American Jewish assimilation.Horn also considers how anti-Jewish propaganda circulates through contemporary institutions and artificial intelligence.She argues for a response centered on freedom, responsibility, and the flourishing of living Jewish communities.Source: Avid Reader Press/Simon & Schuster · September 1, 2026 · 384 pages · ISBN 9781668090169.Explore: More History & Judaism episodes · Browse all seriesRelated episodes: Adorno on Antisemitism · Eichmann vs. Arendt

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