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1:18:15ENIf AI Becomes a Being, Steering It Is SlaveryPresenta: Nathan LabenzEmmett Shear and DeepMind's Séb Krier clash over whether alignment means controlling a tool or raising a creature that cares.
11:34ENNvidia’s Groq Licensing Deal: AI Inference, Talent and Competitive StrategyMatthew Berman, Jonathan Ross · Forward FutureGroq investor Matthew Berman examines a non-exclusive technology license and the move of senior Groq staff to Nvidia, and speculates about the future of AI chips.
1:41:34ENThey Owned the Camera Partition—and Still Couldn't Crash the HelicopterPresenta: Nathan LabenzKathleen Fisher and Byron Cook tell Nathan Labenz how formal methods turn some software bugs into closed cases, from a DARPA helicopter to AWS policies checked a billion times a second.
1:20:57ENMatt Godbolt: Inside Skylake’s Out-of-Order PipelineMatt GodboltA guided tour of instruction decoding, register renaming, execution and memory ordering, grounded in reverse engineering and careful measurements.
1:12:54ENInvestors’ 2026 Predictions: AI, Software Valuations and EmploymentInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll review 2025 and debate software stocks, possible IPOs and AI’s labor-market effects.
40:46ENDoctors Are Rushing to AI. Robotics Will Take a Beating First.Presenta: Sarah Guo, Elad GilSarah Guo and Elad Gil’s 2026 forecast for foundation models, IPOs, robotics, consumer agents, and the bets that are not about AI at all.
1:43:19ENA $100 Million Super PAC Named Him Public Enemy Number One. Donations Went Up.Presenta: Nathan LabenzIn the second half of Cognitive Revolution’s year-end live show, Assemblymember Alex Bores, former White House adviser Dean Ball, and forecaster Peter Wildeford argue over state AI laws, chip sales to China, and what 2026 will actually feel like.
1:58:48ENARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AIPresenta: Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.
12:30ENAI News in December 2025: Gemini 3 Flash, Nemotron 3 and SAM AudioMatthew Berman · Forward FutureMatthew Berman reviews model releases, image generation, multi-model routing, data-center policy and reported AI investment talks.
1:21:57ENCursor, Figma and the Race to Build Across AI WorkflowsInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss venture scale, software convergence and the risks of growth valuations.
1:18:05ENThe Real Bottleneck in AI Research Is Compute, Not IdeasPresenta: Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.
1:00:15ENArjun Guha on How Language Models Represent Code and How People Prompt ThemArjun Guha · Northeastern UniversityExperiments with activation steering and student-written prompts reveal how programming models behave—and why evaluating them requires more than a single benchmark score.
38:21ENHow a Weekend Webcam Came to See 90 Billion Miles a YearSamsara CEO Sanjit Biswas on edge inference, messy road data, and why physical AI only counts once it is installed.
1:11:52ENDavid George on Venture Fund Scale, AI Economics and Backing FoundersInvitado: David George · Presenta: Harry StebbingsThe Andreessen Horowitz growth investor discusses private-market returns, AI company valuations and the judgment behind the firm’s investments.
48:00ENA Two-Second Vote Is Training Models to Be ClickbaitPresenta: Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.
18:09ENTraining a GPT-OSS 2048 Strategy With Verifiable RewardsMatthew Berman · Forward FutureMatthew Berman walks through a local Unsloth notebook, reward checks and one 2048 training run on an RTX 5090.
2:06:09ENOne ChatGPT query is a second in the microwavePresenta: Nathan LabenzAndy Masley walks Nathan Labenz through the energy and water math of AI, from a single prompt to an 80-gigawatt buildout.
1:54:33ENCreative Agents, AI Evaluations and Enterprise Trust: Forward Future LiveMatthew Berman, Nick Wentz, Fabian Stelzer, Tejal Patwardhan, Christina Cacioppo, Jeremy Epling, Spenser Skates · Forward FutureLeaders from Glif, OpenAI, Vanta and Amplitude discuss creative workflows, knowledge-work benchmarks and practical AI adoption in December 2025.
15:01ENAI News in December 2025: Disney, DeepSeek, Runway and MetaMatthew Berman · Forward FutureMatthew Berman reviews an OpenAI licensing deal, reports about AI chips and Meta’s model strategy, video generation, and Rivian’s autonomy plans.
2:05:13ENThe Ark Was Round: Irving Finkel on Cuneiform, Floods, and a Seal From 9000 BCInvitado: Irving Finkel · Presenta: Lex FridmanA British Museum curator argues that writing is older than the textbooks say, that Noah inherited a Mesopotamian story, and that the oldest ark was a giant coracle.
1:58ENGPT-5.2 at Launch: Benchmark Results, Demos and API PricingMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s December 2025 announcement, highlighting selected evaluations, product demos and the cost increase over GPT-5.1.
41:38ENElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the InterfacePresenta: Sarah Guo, Elad GilIn Poland, watching a foreign film is a special kind of pain: one narrator, every character, a flat delivery from start to finish.
1:35:32ENSpaceX Valuations, Harvey’s Growth and the Risks Behind AI DealsInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll examine private-market prices, a proposed media deal, AI applications and fintech competition.
1:02:19ENA Top Video Model's Half-Life Is 30 Days. fal Runs 600 AnywayThe fal founders tell Sequoia why generative video is a compute-bound problem that language-model shops keep underestimating, and why they will not let any customer marry a single model.
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