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3,960 件
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1:03:08ZH
Zhang Xiaojun Podcast· 2025年2月7日ポッドキャスト · 2 人朱啸虎:DeepSeek 如何改变我对 AI 的判断ゲスト 朱啸虎 · ホスト 张小珺2025 年初,投资人回顾对开放模型、应用创业和人工智能的看法。AI StrategyOpen-weight modelsVenture Capital+2
1:03:51EN
20VC with Harry Stebbings· 2025年2月5日ポッドキャスト · 2 人Max Levchin on Hiring, Postmortems and Leading Affirmゲスト Max Levchin · ホスト Harry StebbingsThe Affirm founder discusses candid feedback, calculated risk, durable product work and staying focused through public-market volatility.LeadershipCompany BuildingFintech+2
2:16:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月5日ポッドキャストA 10B Model Trained Across Three Continents — and an H200 for $1.49 an Hourホスト Nathan LabenzPrime Intellect's founders lay out a four-step plan to turn spare global GPUs into collectively owned intelligence, and argue that reinforcement learning just made their job easier.インフラとデプロイDistributed training & inferenceAI cost & performance+3
スライド 5 枚10:01EN
Matthew Berman· 2025年2月5日DeepSeek R1 Code Optimization and a $3 Visual Counting ExperimentMatthew Berman · Forward FutureMatthew Berman examines a human-guided coding improvement and a small reinforcement-learning experiment, then considers their implications for AI research.Reinforcement LearningGPU programming & kernelsAI research+2
54:47EN
Sequoia Capital· 2025年2月4日ポッドキャストNinety Thousand Games a Day: Roblox's Bet That AI Should Wash the DishesStef Corazza, head of generative AI at Roblox, tells Sequoia how a free Studio assistant, a community data bargain, and a 3D foundation model are meant to teach AI game development.プロダクトと UXProduct StrategyAI interface design+3
スライド13:04EN
Matthew Berman· 2025年2月4日Deep Research, AI Takeoff and the Limits of Early ReactionsMatthew Berman, Sam Altman · Forward FutureMatthew Berman surveys February 2025 reactions to OpenAI’s research agent and argues that reasoning and tools could accelerate AI progress.AI agentsAGI TimelinesBenchmarks+2
2:49:35ZH
Zhang Xiaojun Podcast· 2025年2月4日ポッドキャスト · 2 人潘嘉怡解读 R1、o1 与 Kimi K1.5:强化学习如何教模型学会推理ゲスト 潘嘉怡 · ホスト 张小珺伯克利博士生潘嘉怡带读 DeepSeek、OpenAI 与 Kimi 的推理模型报告,拆解长思维链、GRPO、奖励设计与蒸馏。R1-Zero 的“顿悟时刻”展示了推理策略如何在强化学习中涌现。Reinforcement Learningモデルと学習AI research+2
1:15:18EN
20VC with Harry Stebbings· 2025年2月3日ポッドキャスト · 2 人Nabeel Hyatt on Venture Investing and the Uncertainty of AIゲスト Nabeel Hyatt · ホスト Harry StebbingsThe Spark Capital partner argues for curiosity, founder relationships and product judgment in a fast-changing market.Venture CapitalInvestingAI Strategy+2
スライド 5 枚12:07EN
Matthew Berman· 2025年2月2日TinyZero: A $30 Reinforcement-Learning Experiment on a Small Arithmetic TaskMatthew Berman · Forward FutureMatthew Berman explains how a pretrained Qwen model learned to search and check answers in Countdown, and why the experiment does not recreate DeepSeek-R1.Reinforcement LearningReasoning & test-time computeAI research+2
5:06:18EN
Lex Fridman· 2025年2月2日ポッドキャストDeepSeek's $5 million training claim and the five-year bet on computeホスト Lex FridmanDylan Patel and Nathan Lambert walk Lex Fridman through DeepSeek-V3 and R1, export controls, TSMC, megaclusters, and who actually makes money in the AI race.企業と戦略Open-weight modelsPretraining & midtraining+3
スライド 7 枚9:58EN
Matthew Berman· 2025年2月1日Matthew Berman Tests o3-mini on Games, Puzzles and Web SearchMatthew Berman · Forward FutureA 2025 hands-on test finds working game prototypes and several successful answers alongside a delayed Tetris row, an ambiguous puzzle and a search configuration mistake.評価(Evals)コーディングエージェントReasoning & test-time compute+2
スライド 3 枚6:44EN
Matthew Berman· 2025年2月1日Testing DeepSeek Janus-Pro for Image Understanding and GenerationMatthew Berman · Forward FutureMatthew Berman tries the 7B multimodal model on diagrams, memes and image prompts using a sponsored cloud GPU demonstration.画像と動画Generative mediaMultimodal AI+2
スライド 6 枚24:22EN
Matthew Berman· 2025年1月31日Dario 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.モデルと学習AI cost & performanceGeopolitics+2
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
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