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4,172 件
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57:31EN
20VC with Harry Stebbings· 2025年1月31日ポッドキャスト · 2 人TS Anil on Monzo’s Turnaround, Product Strategy and Global Ambitionsゲスト TS Anil · ホスト 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
スライド 4 枚9:58EN
Matthew Berman· 2025年1月31日OpenAI 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
スライド 4 枚15:22EN
AI Explained· 2025年1月31日o3-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· 2025年1月30日ポッドキャスト · 2 人Why Rick Caruso's Palisades Village Stood While Two Manhattans Burnedホスト 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· 2025年1月30日ポッドキャストA Million Tokens Cannot Write a Good Jokeホスト 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.評価とオブザーバビリティ評価(Evals)Benchmarks+3
スライド 5 枚7:41EN
Matthew Berman· 2025年1月30日CES 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· 2025年1月30日Five AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.エンタープライズ AIエージェントモデルと学習+1
スライド0:52EN
Matthew Berman· 2025年1月29日Genie 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"· 2025年1月29日ポッドキャストBox Holds 100 Billion Files. Its CEO Says Enterprises Only Move for a 10xホスト 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.企業と戦略エンタープライズ AIAI Strategy+3
1:00:02EN
20VC with Harry Stebbings· 2025年1月29日ポッドキャスト · 2 人Jonathan Ross on DeepSeek, Open Models and AI Infrastructureゲスト Jonathan Ross · ホスト Harry StebbingsThe Groq CEO discusses reported training costs, inference demand, competitive strategy and the security concerns surrounding AI.InferenceAI cost & performanceGeopolitics+2
スライド 3 枚5:27EN
Matthew Berman· 2025年1月29日Ways 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
スライド 4 枚20:34EN
Matthew Berman· 2025年1月28日DeepSeek 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.モデルと学習AI cost & performanceOpen-weight models+2
52:30EN
Sequoia Capital· 2025年1月28日ポッドキャストMove 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.エージェントReinforcement Learningエージェント工学+3
スライド16:45EN
Matthew Berman· 2025年1月27日DeepSeek-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· 2025年1月27日ポッドキャスト · 2 人Wayne Ting on Turning Lime Around, One Operational Detail at a Timeゲスト Wayne Ting · ホスト 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· 2025年1月26日ポッドキャスト · 2 人Decline Is a Choice: Marc Andreessen on Power, Censorship, and a Second Roaring Twentiesゲスト Marc Andreessen · ホスト 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.企業と戦略AI StrategyGeopolitics+3
スライド 4 枚14:55EN
Matthew Berman· 2025年1月25日How 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"· 2025年1月25日ポッドキャストFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the Tableホスト 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.モデルと学習Reinforcement LearningReasoning & test-time compute+3
1:12:04EN
20VC with Harry Stebbings· 2025年1月24日ポッドキャスト · 2 人Carlos Delatorre on Hiring Salespeople and Building a Repeatable Pipelineゲスト Carlos Delatorre · ホスト 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· 2025年1月23日ポッドキャスト · 2 人The Forest Will Burn. The Only Question Is on Whose Terms.ホスト 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
スライド0:55EN
Matthew Berman· 2025年1月23日A 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
スライド 5 枚37:58EN
Matthew Berman· 2025年1月23日OpenAI 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 useエージェントAI Safety+1
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月22日ポッドキャストTwenty-atom crystals taught an AI the physics of a heartbeatホスト 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.モデルと学習AI for science機械学習の基礎+3
スライド 4 枚15:10EN
Matthew Berman· 2025年1月22日DeepSeek 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.Reasoning & test-time compute評価(Evals)Open-weight models+2
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