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1:19:10ENA Robot-Arm Shot That Took Months Now Lives in a PromptModeration: Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.
54:45ENA Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on GeneralizationModeration: Nathan LabenzCTO Anastasis Germanidis tells The Cognitive Revolution why video is a fuller record of the world than text, why physics shows up without being programmed in, and how a small lab competes with unlimited compute.
1:54:17ENMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting DeskModeration: Nathan LabenzNathan Labenz talks with Metaculus CEO Deger Turan about epistemic security, a year-long bot tournament, and why a useful forecast is harder than an accurate one.
1:43:47ENThey want AI safety to quote failure odds the way civil engineers quote a bridgeModeration: Nathan LabenzNora Ammann and Ben Goldhaber walk Nathan Labenz through Guaranteed Safe AI: world models, safety specs, verifiers, and why a chatbot’s good character is the wrong type for a dam.
1:45:49ENTrust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the CompanyModeration: Nathan LabenzAndreas Stuhlmüller and Jungwon Byun explain how Elicit keeps frontier models checkable for high-stakes science, and where they think AI reasoning is heading.
1:03:59ENBuilding a World Model of Life: Biohub's Alex Rives on Why Better Measurement Must Come Before Virtual CellsModeration: Nathan LabenzBiohub's head of science explains why today's virtual cell models fall short, how a $1.8 billion data push aims to fix it, and what a five-year information-level model of the cell could unlock.









