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4,455 件
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33:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月8日ポッドキャスト · 2 人A Weekend Prototype Now Autocompletes a Third of Brex Expensesホスト Sarah Guo, Elad GilPedro Franceschi tells Sarah Guo and Elad Gil how a 48-hour GPT-3.5 hack became an assistant for 30,000 companies — and why firing 20,000 customers was a leadership-bandwidth decision.企業と戦略エンタープライズ AI金融 AI+3
1:22:41EN
20VC with Harry Stebbings· 2024年8月7日ポッドキャスト · 2 人Alexis Ohanian on Angel City, Sports Ownership and the Business of Attentionゲスト Alexis Ohanian · ホスト Harry StebbingsThe investor explains his Angel City thesis, the club’s revenue and governance, and why he sees value in sports storytelling and creators.InvestingVenture CapitalCompany Building+2
スライド 4 枚9:51EN
Matthew Berman· 2024年8月7日Strawberry Rumors and Two Anonymous Chatbot Reasoning TestsMatthew Berman · Forward FutureIn August 2024, Matthew Berman examined speculation about OpenAI’s next model and tested mystery chatbots on simple reasoning puzzles. Later disclosures clarified the identity of one of them.Reasoning & test-time compute評価(Evals)Foundation Models+2
1:50:08EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月7日ポッドキャストWaymo's Injury Rate Is Five Times Lower. It Still Loses to a Lyft.ホスト Nathan LabenzHuman drivers average one fatal crash per 100 million miles — and that bar still defines the self-driving debate.エージェントAutonomous Driving安全性とガバナンス+3
スライド 4 枚8:06EN
Jane Street· 2024年8月7日How OCaml's Proposed Include Functor Syntax Reduces RepetitionRichard Eisenberg · Jane StreetA reverse-array example shows how to derive common module functions from a minimal implementation without an extra wrapper module.Programming LanguagesSoftware engineering
スライド 5 枚12:17EN
Matthew Berman· 2024年8月7日Testing Gemini 1.5 Pro on Code, Reasoning, Images and VideoMatthew Berman · Forward FutureMatthew Berman compares standard and experimental Gemini versions in an informal 2024 review, finding mixed results and repeated output errors.Gemini評価(Evals)Multimodal AI+2
1:00EN
Hard Fork· 2024年8月7日ポッドキャスト · 2 人Stephen Nedoroscik and the Roots of Pommel HorseA short conversation about the gymnast, stereotypes and the apparatus’s history.History
スライド 3 枚17:27EN
Matthew Berman· 2024年8月6日AI News in August 2024: Figure 02, Groq and Training-Data DisputesMatthew Berman · Matthew BermanMatthew Berman surveys robot previews, an inference funding round, AI watermarking, synthetic robot data and new creative tools.RoboticsAI HistorySynthetic data+2
1:07:34EN
Sequoia Capital· 2024年8月6日ポッドキャストGitHub Didn’t Believe Copilot Was Writing 25% of the CodeThomas Dohmke tells Sequoia how an unplanned GPT-3 experiment became Copilot, why GitHub still will not train its own foundation model, and how he wants a billion people writing software by 2030.コーディングエージェントCompany BuildingDeveloper productivity+3
スライド 5 枚8:39EN
Matthew Berman· 2024年8月6日Figure 02: A Look at Figure AI’s Humanoid Robot and Its Long-Term AmbitionsMatthew Berman · Forward FutureMatthew Berman examines Figure’s 2024 announcement, from redesigned hands and onboard vision to the company’s ambitions for physical labor and homes.RoboticsComputer VisionMultimodal AI+2
1:13:02EN
20VC with Harry Stebbings· 2024年8月5日ポッドキャスト · 2 人David Cahn on AI Infrastructure, Capital Spending and Venture Convictionゲスト David Cahn · ホスト Harry StebbingsThe Sequoia investor examines data centers, chips and power before explaining how he evaluates companies and builds conviction.AI cost & performanceインフラとデプロイEnergy+2
1:00EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月5日ポッドキャストBuilding AI Products When Research Changes the ConstraintsA short discussion of model quality, training time and development uncertainty.プロダクトと UXモデルと学習
46:47EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月3日ポッドキャストEditing Video Like a Document: How Descript Puts AI in the Copilot Seatホスト Nathan LabenzDescript CEO Andrew Mason on Underlord, why the timeline had to die, and what a ten-times-more-expensive editor would look like.プロダクトと UXProduct StrategyGenerative media+3
58:31EN
20VC with Harry Stebbings· 2024年8月2日ポッドキャスト · 2 人Ben Fiechtner on Deal Design, Forecasting and Building Sales Teamsゲスト Ben Fiechtner · ホスト Harry StebbingsClari’s chief revenue officer explains his quarterly sales cadence, how to find real buying constraints, and what he looks for when hiring.SalesGo-to-MarketHiring+2
4:51EN
Jane Street· 2024年8月2日How Jane Street’s Creative Engagement Team Shapes Company CultureTala, Lana · Jane StreetTeam members describe how events, design and digital projects bring colleagues together and introduce the firm to new people.Company CultureCreativityHiring+1
スライド 5 枚9:58EN
Matthew Berman· 2024年8月2日Abstract AI: A Proposed Routing Layer for Language ModelsMatthew Berman · Forward FutureMatthew Berman outlines a startup idea for choosing models and workflows by cost, speed and quality.Model routing & gatewaysAI cost & performanceエージェント工学+2
8:37:34EN
Lex Fridman· 2024年8月2日ポッドキャスト · 2 人The first Neuralink patient beat a world record with most of his electrodes goneゲスト Elon Musk · ホスト Lex FridmanLex Fridman talks with Elon Musk, the Neuralink team, and Noland Arbaugh about a wireless brain implant, the software that rescued it, and why bandwidth is Musk’s bet on living with AI.Brain-Computer InterfacesHuman-AI CollaborationAGI(汎用人工知能)+3
1:03:22EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月2日ポッドキャストA 40-person team at $35 million ARR: HeyGen made AI avatars a business, not a demoホスト Nathan LabenzJoshua Xu and Benchmark’s Victor Lazarte tell Nathan Labenz how a camera-replacement product grew past 40,000 business customers — and why half the faces on this episode are fake.マルチモーダルとメディアGenerative media画像と動画+3
21:59EN
Hard Fork· 2024年8月2日ポッドキャスト · 3 人How DeepMind’s Math Systems Reached an Olympiad Silver-Level Scoreゲスト Pushmeet Kohli · ホスト Kevin Roose, Casey NewtonPushmeet Kohli explains formal proofs, training, timing and the limits of a 2024 result.
3:18EN
Jane Street· 2024年8月1日Rory on Production Engineering and Incident Support at Jane StreetRory · Jane StreetA production engineer describes monitoring order engines, responding to outages and building a supportive team.オブザーバビリティと信頼性インフラとデプロイCareers+1
スライド 5 枚11:34EN
Matthew Berman· 2024年8月1日Testing Mistral Large 2: Coding, Reasoning and Safety in 2024Matthew Berman · Forward FutureMatthew Berman tests Mistral’s 123-billion-parameter model with small coding tasks, logic puzzles and ethical hypotheticals. The results are promising but narrowly scoped.Foundation Models評価(Evals)Open-weight models+2
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月1日ポッドキャスト · 2 人Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numberedホスト Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.モデルと学習AGI TimelinesPretraining & midtraining+3
スライド 3 枚8:34EN
Matthew Berman· 2024年7月31日The Promise and Tradeoffs of Running AI on Phones and Other DevicesMatthew Berman · Forward FutureIn a Qualcomm-partnered video, Matthew Berman explores local AI, model routing and demonstrations across phones, PCs, cars and drones.Local inferenceModel routing & gatewaysAI cost & performance+2
1:09:06EN
20VC with Harry Stebbings· 2024年7月31日ポッドキャスト · 2 人Ethan Mollick on AI Adoption, Education and the Uncertain Path to AGIゲスト Ethan Mollick · ホスト Harry StebbingsThe Wharton professor argues that model progress is only part of the story: organizations, product design and human choices determine how AI changes work and education.AI AdoptionAI in EducationAI Strategy+2
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