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1:07:34EN
Sequoia Capital· 6 ago 2024PódcastGitHub 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.Agentes de programaciónCompany BuildingDeveloper productivity+3
5 diapositivas8:39EN
Matthew Berman· 6 ago 2024Figure 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· 5 ago 2024Pódcast · 2 vocesDavid Cahn on AI Infrastructure, Capital Spending and Venture ConvictionInvitado: David Cahn · Presenta: Harry StebbingsThe Sequoia investor examines data centers, chips and power before explaining how he evaluates companies and builds conviction.AI cost & performanceInfraestructura y despliegueEnergy+2
1:00EN
Cognitive Revolution "How AI Changes Everything"· 5 ago 2024PódcastBuilding AI Products When Research Changes the ConstraintsA short discussion of model quality, training time and development uncertainty.Producto y UXModelos y entrenamiento
46:47EN
Cognitive Revolution "How AI Changes Everything"· 3 ago 2024PódcastEditing Video Like a Document: How Descript Puts AI in the Copilot SeatPresenta: Nathan LabenzDescript CEO Andrew Mason on Underlord, why the timeline had to die, and what a ten-times-more-expensive editor would look like.Producto y UXProduct StrategyGenerative media+3
58:31EN
20VC with Harry Stebbings· 2 ago 2024Pódcast · 2 vocesBen Fiechtner on Deal Design, Forecasting and Building Sales TeamsInvitado: Ben Fiechtner · Presenta: 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· 2 ago 2024How 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
5 diapositivas9:58EN
Matthew Berman· 2 ago 2024Abstract 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 & performanceIngeniería de agentes+2
8:37:34EN
Lex Fridman· 2 ago 2024Pódcast · 2 vocesThe first Neuralink patient beat a world record with most of his electrodes goneInvitado: Elon Musk · Presenta: 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+3
1:03:22EN
Cognitive Revolution "How AI Changes Everything"· 2 ago 2024PódcastA 40-person team at $35 million ARR: HeyGen made AI avatars a business, not a demoPresenta: 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.Multimodal y mediosGenerative mediaVisión y vídeo+3
21:59EN
Hard Fork· 2 ago 2024Pódcast · 3 vocesHow DeepMind’s Math Systems Reached an Olympiad Silver-Level ScoreInvitado: Pushmeet Kohli · Presenta: Kevin Roose, Casey NewtonPushmeet Kohli explains formal proofs, training, timing and the limits of a 2024 result.
3:18EN
Jane Street· 1 ago 2024Rory 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.Observabilidad y fiabilidadInfraestructura y despliegueCareers+1
5 diapositivas11:34EN
Matthew Berman· 1 ago 2024Testing 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 ModelsEvaluacionesOpen-weight models+2
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 1 ago 2024Pódcast · 2 vocesOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedPresenta: 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.Modelos y entrenamientoAGI TimelinesPretraining & midtraining+3
3 diapositivas8:34EN
Matthew Berman· 31 jul 2024The 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· 31 jul 2024Pódcast · 2 vocesEthan Mollick on AI Adoption, Education and the Uncertain Path to AGIInvitado: Ethan Mollick · Presenta: 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
42:08EN
Sequoia Capital· 30 jul 2024PódcastMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.Código abierto y comunidadOpen-weight modelsDistillation+3
1:18:56EN
20VC with Harry Stebbings· 29 jul 2024Pódcast · 2 vocesDelian Asparouhov on Founders Fund, Conviction and Building CompaniesInvitado: Delian Asparouhov · Presenta: Harry StebbingsThe investor and Varda co-founder discusses venture partnerships, founder leadership, aerospace and the personal beliefs shaping his work.Venture CapitalInvestingCompany Building+2
3 diapositivas13:40EN
Matthew Berman· 29 jul 2024Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight modelsEvaluacionesModelos y entrenamiento+1
0:48EN
Cognitive Revolution "How AI Changes Everything"· 28 jul 2024PódcastInstrumental Convergence and the Concern About AI ShutdownWhy some researchers worry that certain means may help an AI pursue many different goals.AI Safety
1:32:45EN
Cognitive Revolution "How AI Changes Everything"· 27 jul 2024PódcastHe doubled a company with AI — then asked the labs to pause hyperscalingPresenta: Nathan LabenzOn the Nick Halaris Show, Cognitive Revolution host Nathan Labenz argues for adopting today's models fast and slowing the race to systems more powerful than we are.SeguridadSeguridad y gobernanzaExistential Risk+3
3 diapositivas5:50EN
Matthew Berman· 27 jul 2024A Mixture-of-Agents Demo Using Groq and StreamlitMatthew Berman · Forward FutureMatthew Berman walks through a 2024 Groq-powered multi-agent project, from setup to inspecting its layered responses.Multi-agent systemsAgent orchestrationInference+1
52:53EN
20VC with Harry Stebbings· 26 jul 2024Pódcast · 2 vocesNilan Peiris on Wise: Product Value, Word of Mouth and Disciplined GrowthInvitado: Nilan Peiris · Presenta: Harry StebbingsWise’s chief product officer explains how clear savings, useful content and careful acquisition spending supported growth, and where experiments fell short.Growth StrategyFintechProduct Strategy+1
5 diapositivas20:40EN
Matthew Berman· 26 jul 2024SearchGPT, Llama 3.1 and AlphaProof: A July 2024 AI News RoundupMatthew Berman · Forward FutureMatthew Berman reviews new models, search, audio tools, OpenAI policy questions and DeepMind’s mathematical reasoning result.AI researchFoundation ModelsAI Safety+2
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