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57:31ENTS Anil on Monzo’s Turnaround, Product Strategy and Global AmbitionsGuest TS Anil · Host Harry StebbingsThe Monzo CEO explains how the bank addressed interlocking funding and control problems, built a diversified revenue model and is thinking about expansion.
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 BurnedHost 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 JokeHost 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 10xHost 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 InfrastructureGuest Jonathan Ross · Host 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 TimeGuest Wayne Ting · Host 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 TwentiesGuest Marc Andreessen · Host 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 TableHost 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 PipelineGuest Carlos Delatorre · Host 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.Host 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 heartbeatHost 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.
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