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4,060 件
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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
1:08:12EN
20VC with Harry Stebbings· 2025年1月22日ポッドキャスト · 2 人George Sivulka on Hebbia, Enterprise AI and the Future of Workゲスト George Sivulka · ホスト Harry StebbingsThe Hebbia founder discusses document analysis, inference scaling, enterprise adoption and his forecasts for models and employment.エンタープライズ AIAI agentsInference+2
スライド 2 枚7:57EN
Matthew Berman· 2025年1月22日Stargate’s 2025 Announcement and the OpenAI–Microsoft PartnershipMatthew Berman · Forward FutureMatthew Berman reviews the planned US AI infrastructure project and a contemporaneous change to compute arrangements.インフラとデプロイOpenAIAGI(汎用人工知能)+1
スライド 5 枚8:52EN
Matthew Berman· 2025年1月21日Industry Reactions to DeepSeek R1’s 2025 ReleaseMatthew Berman · Forward FutureMatthew Berman reviews early reactions to DeepSeek R1, from open-weight reasoning models and local hardware to benchmark results and API pricing.Open-weight modelsReasoning & test-time computeBenchmarks+2
52:06EN
Sequoia Capital· 2025年1月21日ポッドキャストLinkedIn spent five years on graph neural nets. She wants any company to see value in four weeksKumo co-founder Hema Raghavan argues that the graph was always sitting in your warehouse tables — and that a SQL-like predict clause is how ordinary companies finally get to use it.企業と戦略エンタープライズ AIGo-to-Market+3
1:24:57EN
Unsupervised Learning: With Jacob Effron· 2025年1月21日ポッドキャストA 50,000-GPU cap and a 1,700-chip loopholeホスト Jacob EffronSemiAnalysis founder Dylan Patel walks through the AI diffusion rule, China’s compute squeeze, and how xAI stood up a 100,000-GPU cluster in a closed Memphis appliance factory.インフラとデプロイAI RegulationGeopolitics+3
スライド 3 枚12:15EN
Matthew Berman· 2025年1月20日DeepSeek-R1: Open-Weight Reasoning, Benchmark Results and a First TestMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s January 2025 release, compares reported benchmarks and prices, and tries a handful of reasoning prompts.Reasoning & test-time computeOpen-weight modelsReinforcement Learning+2
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