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6 diapositives24:22EN
Matthew Berman· 31 janv. 2025Dario Amodei on DeepSeek, AI Costs and Chip Export ControlsMatthew Berman, Jonathan Ross, David Sacks · Forward FutureMatthew Berman examines the Anthropic CEO’s 2025 essay, the limited evidence behind distillation allegations and the economics of model training.Modèles et entraînementAI cost & performanceGeopolitics+2
57:31EN
20VC with Harry Stebbings· 31 janv. 2025Podcast · 2 voixTS Anil on Monzo’s Turnaround, Product Strategy and Global AmbitionsInvité : TS Anil · Anime : Harry StebbingsThe Monzo CEO explains how the bank addressed interlocking funding and control problems, built a diversified revenue model and is thinking about expansion.Company BuildingProduct StrategyLeadership+2
4 diapositives9:58EN
Matthew Berman· 31 janv. 2025OpenAI 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.OpenAIReasoning & test-time computeBenchmarks+1
4 diapositives15:22EN
AI Explained· 31 janv. 2025o3-mini’s Early Results and the Rhetoric of an AI RaceA launch-day look at benchmarks, safety evaluations, and the pressures of competition.BenchmarksAI SafetyReasoning & test-time compute+1
27:12EN
No Priors: AI, Machine Learning, Tech, & Startups· 30 janv. 2025Podcast · 2 voixWhy Rick Caruso's Palisades Village Stood While Two Manhattans BurnedAnime : 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.LeadershipDecision MakingPublic Health
57:11EN
Unsupervised Learning: With Jacob Effron· 30 janv. 2025PodcastA Million Tokens Cannot Write a Good JokeAnime : 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.Évaluations et observabilitéÉvaluationsBenchmarks+3
5 diapositives7:41EN
Matthew Berman· 30 janv. 2025CES 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.Local inferenceOpen-weight modelsSemiconductors+2
1:50EN
Matthew Berman· 30 janv. 2025Five AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.IA en entrepriseAgentsModèles et entraînement+1
Diapositives0:52EN
Matthew Berman· 29 janv. 2025Genie 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.World modelsGenerative mediaRobotics
56:07EN
Cognitive Revolution "How AI Changes Everything"· 29 janv. 2025PodcastBox Holds 100 Billion Files. Its CEO Says Enterprises Only Move for a 10xAnime : 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.Entreprise et stratégieIA en entrepriseAI Strategy+3
1:00:02EN
20VC with Harry Stebbings· 29 janv. 2025Podcast · 2 voixJonathan Ross on DeepSeek, Open Models and AI InfrastructureInvité : Jonathan Ross · Anime : Harry StebbingsThe Groq CEO discusses reported training costs, inference demand, competitive strategy and the security concerns surrounding AI.InferenceAI cost & performanceGeopolitics+2
3 diapositives5:27EN
Matthew Berman· 29 janv. 2025Ways 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.Local inferenceOpen-weight modelsQuantization
4 diapositives20:34EN
Matthew Berman· 28 janv. 2025DeepSeek 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.Modèles et entraînementAI cost & performanceOpen-weight models+2
52:30EN
Sequoia Capital· 28 janv. 2025PodcastMove 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.AgentsReinforcement LearningIngénierie d’agents+3
Diapositives16:45EN
Matthew Berman· 27 janv. 2025DeepSeek-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.Foundation ModelsReasoning & test-time computeOpen Source+1
1:04:04EN
20VC with Harry Stebbings· 27 janv. 2025Podcast · 2 voixWayne Ting on Turning Lime Around, One Operational Detail at a TimeInvité : Wayne Ting · Anime : Harry StebbingsLime’s CEO explains how vehicle durability, battery swapping and local operations reshaped its economics, and reflects on crisis leadership and recovery.Company BuildingProduct StrategyLeadership+2
3:45:44EN
Lex Fridman· 26 janv. 2025Podcast · 2 voixDecline Is a Choice: Marc Andreessen on Power, Censorship, and a Second Roaring TwentiesInvité : Marc Andreessen · Anime : 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.Entreprise et stratégieAI StrategyGeopolitics+3
4 diapositives14:55EN
Matthew Berman· 25 janv. 2025How 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.AI agentsComputer useOpenAI+2
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 25 janv. 2025PodcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TableAnime : 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.Modèles et entraînementReinforcement LearningReasoning & test-time compute+3
1:12:04EN
20VC with Harry Stebbings· 24 janv. 2025Podcast · 2 voixCarlos Delatorre on Hiring Salespeople and Building a Repeatable PipelineInvité : Carlos Delatorre · Anime : 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.SalesCompany BuildingLeadership+1
37:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 23 janv. 2025Podcast · 2 voixThe Forest Will Burn. The Only Question Is on Whose Terms.Anime : 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.Venture CapitalPublic Health
Diapositives0:55EN
Matthew Berman· 23 janv. 2025A Quick RTX 5090 Local AI TestMatthew Berman · Forward FutureMatthew Berman runs an 8B DeepSeek R1 distillation locally and reports the speed of one generation.Local inferenceSemiconductorsOpen-weight models
5 diapositives37:58EN
Matthew Berman· 23 janv. 2025OpenAI 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.Computer useAgentsAI Safety+1
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 22 janv. 2025PodcastTwenty-atom crystals taught an AI the physics of a heartbeatAnime : 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.Modèles et entraînementAI for scienceFondamentaux du ML+3
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