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1:56:16ENSB 813 Would Hand AI Safety Checks to Licensed Private Firms — If Government Can Watch the Watchers진행자 Nathan LabenzGillian Hadfield and Andrew Freedman want California to set AI safety outcomes, license competing certifiers, and give companies a rebuttable presumption in court if they pass.
38:10ENPlus Five for Format, Plus Ten if It Compiles진행자 Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.
12:14ENAI News: Windsurf’s Acquisition, Meta Compute Plans, Grok and VoxtralMatthew Berman · Forward FutureA July 2025 roundup examines developer-tool deals, AI infrastructure, model behavior, reward methods and speech recognition.
15:23ENGrok 4’s Early Reception: Impressive Demos, Safety Questions and Mixed User FeedbackMatthew Berman · Forward FutureMatthew Berman surveys early reactions to xAI’s 2025 model release, from physics simulations and benchmark results to concerns about bias, safety and speed.
26:09ENGrok 4 and Heavy Tested: Coding, Images, Reasoning and Practical QuestionsMatthew Berman · Forward FutureMatthew Berman’s July 2025 hands-on trials produce interactive prototypes and several failures, with important limits on what single examples can establish.
1:28:48ENDoctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.진행자 Nathan LabenzAmbience Healthcare and Cleveland Clinic walk through the AI scribe that cut pajama time, climbed ICD-10 with reinforcement fine-tuning, and won 75% voluntary use.
13:07ENAI News: Grok Controversy, New Models and the Competition for TalentMatthew Berman · Forward FutureMatthew Berman surveys Grok’s antisemitic posts, coding and creative tools, model releases, antibody design and AI hiring in July 2025.
1:42:06ENEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It Goes진행자 Nathan LabenzLabelbox CEO Manu Sharma on the $15 billion Scale deal, RL “gyms,” $250,000 trainers, and why post-training now eats the budget that used to belong to pre-training.
1:19:46ENSuspended from Columbia, He Raised $15 Million to Cheat on Everything진행자 Nathan LabenzRoy Lee, founder of Cluely, argues that an undetectable desktop overlay, AI maximalism, and a post-AGI life of 800-year spans are the same bet.
1:25:32ENo3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI Village진행자 Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.
27:40ENSeedance 1.0 vs. Veo 3: An Informal Text-to-Video ComparisonMatthew Berman · Forward FutureMatthew Berman compares visual quality, motion and prompt adherence across gymnastics, action, animation and fantasy scenes.
1:23:32ENHTTP 402 Slept for Thirty Years. Coinbase Turned It Into a Payment Protocol for AI Agents진행자 Nathan LabenzNemil Dalal, Coinbase's developer platform lead, explains x402, the open standard that lets agents pay for APIs with stablecoins instead of ads or credit cards.
20:44ENAI News: DeepSeek Reports, OpenAI Disputes and Google’s New ToolsMatthew Berman · Forward FutureMatthew Berman reviews June 2025 reporting on model development, talent moves, trademark and copyright disputes, and new AI products and research.
4:05:15ENThey could not agree whether Iran was building a bomb. They still wanted the same next move.진행자 Lex FridmanAfter the Iran-Israel ceasefire, Scott Horton and Mark Dubowitz spend four hours on Lex Fridman arguing over enrichment math, a stolen archive, and whether bombing Fordo makes a weapon more likely or less.
1:22:31ENTwo Hours a Day, 99th Percentile: How Alpha School Made 2-Sigma Real진행자 Nathan LabenzMacKenzie Price explains how Alpha School uses adaptive apps—not chatbots—to finish core academics in two hours a day and still beat the growth models.
24:25ENBuilding a Sleep Tracker With Pythagora 2.0Matthew Berman · Forward FutureMatthew Berman demonstrates an AI-assisted development workflow, from an editable specification to testing and debugging a sleep-tracking prototype.
1:39ENReddit v. Anthropic: Scraping Allegations and the Lawsuit’s ProgressMatthew Berman · Forward FutureMatthew Berman reads from Reddit’s complaint about alleged unauthorized data use; the claims remain disputed as the case proceeds.
1:40ENMatthew Berman's More Optimistic Scenario for AI and White-Collar WorkMatthew Berman · Forward FutureBerman contrasts a warning about job losses with a hypothetical example of one worker managing three AI agents.
14:25ENAI News in June 2025: Gemini Flash-Lite, Video Tools and OpenAI NegotiationsMatthew Berman · Forward FutureMatthew Berman reviews a real-time interface demo, new generative tools, AI hiring and the OpenAI–Microsoft relationship.
1:37:05ENAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a Lie진행자 Nathan LabenzJesse Hoogland and Daniel Murfet of Timaeus argue that singularities in the loss landscape — not the smooth valleys in every slide deck — are what actually govern how neural networks learn, generalize, and go wrong.
54:53ENA Free Voting Board Burned $2 Million. Then It Raised $100 Million.진행자 Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.
38:48ENTask Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in Charge진행자 Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.
1:24:27EN500 Trillion Tokens a Month: How Google Grew 50x in a Year진행자 Nathan LabenzLogan Kilpatrick returns to Cognitive Revolution to unpack Google's mid-2023 merger, why he expects frontier labs to diverge, and why startups still hold the speed advantage.
11:38ENAI News in June 2025: Magistral, Voice Models and Image GenerationMatthew Berman · Forward FutureMatthew Berman reviews Mistral’s reasoning models, voice and browser updates, reports on Meta and Scale AI, and FLUX.1 Kontext.
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