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9:58ENOpenAI o3-mini Launch: Reasoning Effort, Benchmarks and a Snake TestMatthew Berman · Forward FutureIn January 2025, Matthew Berman reviews OpenAI’s reported results and tries two coding examples with different reasoning settings.
15:22ENo3-mini’s Early Results and the Rhetoric of an AI RaceA launch-day look at benchmarks, safety evaluations, and the pressures of competition.
27:12ENWhy Rick Caruso's Palisades Village Stood While Two Manhattans BurnedModeration: Sarah Guo, Elad GilThe Los Angeles developer and former mayoral candidate on empty hydrants, 40 years of uncut brush, and rebuilding in a year instead of a decade.
57:11ENA Million Tokens Cannot Write a Good JokeModeration: Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.
7:41ENCES 2025 and Running DeepSeek R1 Distills on an RTX 5090Matthew Berman · Forward FutureMatthew Berman tours AI demonstrations at CES and runs two quantized DeepSeek R1 distilled models locally on an NVIDIA GPU.
1:50ENFive AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.
0:52ENGenie 2 Generates Interactive Worlds for AI ResearchMatthew Berman · Forward FutureMatthew Berman explains why Google DeepMind’s image-conditioned world model could help researchers create environments for agents, while the early demonstrations have clear limits.
56:07ENBox Holds 100 Billion Files. Its CEO Says Enterprises Only Move for a 10xModeration: Nathan LabenzAaron Levie tells Nathan Labenz why AI excitement in the enterprise already outruns the early cloud — and why 98% reliability, seat-based SaaS, and incremental savings still will not ship.
1:00:02ENJonathan Ross on DeepSeek, Open Models and AI InfrastructureGast: Jonathan Ross · Moderation: Harry StebbingsThe Groq CEO discusses reported training costs, inference demand, competitive strategy and the security concerns surrounding AI.
5:27ENWays to Try DeepSeek R1: Hosted and Local Distilled ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates DeepSeek chat, Groq’s hosted distill and a local model in LM Studio.
20:34ENDeepSeek R1 and the Debate Over AI Costs and ComputeMatthew Berman · Forward FutureMatthew Berman examines 2025 reactions to DeepSeek, from training efficiency and market losses to open weights, privacy and the possibility of a demand rebound.
52:30ENMove 37 looked like a bug. LLMs still need their AlphaZero momentIoannis Antonoglou, from AlphaGo to Reflection AI, on self-play, reliability, and why compute can still buy intelligence.
16:45ENDeepSeek-R1 and the Debate Over AI Costs and ComputeMatthew Berman · Forward FutureMatthew Berman examines the January 2025 reaction to an open-weight reasoning model, disputed cost claims and competing views of future demand for AI chips.
1:04:04ENWayne Ting on Turning Lime Around, One Operational Detail at a TimeGast: Wayne Ting · Moderation: Harry StebbingsLime’s CEO explains how vehicle durability, battery swapping and local operations reshaped its economics, and reflects on crisis leadership and recovery.
3:45:44ENDecline Is a Choice: Marc Andreessen on Power, Censorship, and a Second Roaring TwentiesGast: Marc Andreessen · Moderation: Lex FridmanThe United States is adding a trillion dollars of national debt every 100 days — and Andreessen says the boom is still there if the country wants it.
14:55ENHow the Industry Reacted to OpenAI Operator in 2025Matthew Berman · Forward FutureMatthew Berman reviews early views on browser agents, their limitations, competing projects and examples of delegated tasks.
1:48:20ENFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TableModeration: Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.
1:12:04ENCarlos Delatorre on Hiring Salespeople and Building a Repeatable PipelineGast: Carlos Delatorre · Moderation: Harry StebbingsThe Harness CRO explains why account executives should prospect, how he structures a weekly pipeline routine, and how sales leaders can train and evaluate their teams.
37:58ENThe Forest Will Burn. The Only Question Is on Whose Terms.Moderation: Sarah Guo, Elad GilConvective Capital’s Bill Clerico walks through why California’s wildfires reached a crescendo, and which wounds are still self-inflicted enough to fix.
0:55ENA Quick RTX 5090 Local AI TestMatthew Berman · Forward FutureMatthew Berman runs an 8B DeepSeek R1 distillation locally and reports the speed of one generation.
37:58ENOpenAI Operator’s 2025 Launch: Browser Tasks, Human Control and LimitsMatthew Berman, Sam Altman · Forward FutureMatthew Berman watches the early Operator demonstration, from restaurant bookings and groceries to safety controls and benchmark results.
1:40:22ENTwenty-atom crystals taught an AI the physics of a heartbeatModeration: Nathan LabenzOrbital Materials' Jonathan Godwin and Tim Duignan tell Nathan Labenz how a neural network trained on tiny crystals simulated a potassium ion channel on a single 2017 GPU.
15:10ENDeepSeek R1 Tested on Coding, Reasoning and Sensitive QuestionsMatthew Berman · Forward FutureMatthew Berman runs the full R1 model on cloud GPUs and tries game programming, reasoning puzzles and politically sensitive prompts.
1:08:12ENGeorge Sivulka on Hebbia, Enterprise AI and the Future of WorkGast: George Sivulka · Moderation: Harry StebbingsThe Hebbia founder discusses document analysis, inference scaling, enterprise adoption and his forecasts for models and employment.
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