Canales actualizados recientemente

Elige uno para ver solo ese canalVer todos los canales →

Artículos recientes

3981 artículos
Ordenar
43:25EN
AI Engineer· 17 oct 2026How Should Agent Authorization Reflect the User’s Intent?Allie Howe, Ian Livingstone, Michael Davis, Dick Hardt · KeycardA panel from Keycard, JPMorgan Chase and AAuth discusses missions, budgets, sandbox boundaries and independent audit records.AI securityIngeniería de agentesSeguridad+2
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 17 oct 2026PódcastClaude Changed the Password. The Steering Wheel Was Already OptionalPresenta: Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.AgentesSeguridad y gobernanzaIngeniería de agentes+3
1:03:05EN
20VC with Harry Stebbings· 17 oct 2026Pódcast · 2 vocesHarrison Chase on Building Reliable Agents, Model Routing and MemoryInvitado: Harrison Chase · Presenta: Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.AI agentsAgent orchestrationEvaluaciones+2
6 diapositivas1:41:43EN
AI Engineer· 16 oct 2026CJ Avilla and Harrison Stall: Coordinating and Containing Multi-Agent WorkflowsCJ Avilla, Harrison Stall · AnthropicAn Anthropic workshop demonstrates Flows, stock research, code review and controls for budgets, credentials and network access.Multi-agent systemsAgent orchestrationIngeniería de agentes+2
5 diapositivas48:04EN
Theo - t3․gg· 16 oct 2026Theo Explains Scion, Anthropic’s Source-Control System for Agent-Scale WorkTheo Browne · Ping LabsA deep dive into server-side changesets, layered caches, migration results and the limits of a bespoke Git alternative.Software engineeringInfraestructura y despliegueAgentes de programación+2
58:57EN
a16z· 16 oct 2026Pódcast · 2 vocesJad Naous and Martin Casado on AI Coding and Production OperationsInvitado: Jad Naous · Presenta: Martin CasadoA discussion of engineering workflows, observability and whether agents can investigate failures in complex running systems.Observabilidad y fiabilidadAgentes de programaciónSoftware engineering+1
1:48:29EN
Jane Street· 16 oct 2026How AI Is Changing Programming: John Crepezzi and Ron MinskyYaron Minsky, John Crepezzi · Jane StreetJane Street’s AI tooling lead and the Signals and Threads host examine agent infrastructure, security, code review and the changing experience of writing software.Agentes de programaciónDeveloper productivityEvaluaciones+2
20 diapositivas40:44EN
3Blue1Brown· 16 oct 2026Grant Sanderson: There's never been a better time to go into mathGrant Sanderson, Constantin Kogler · 3Blue1BrownStudents fear AI has solved mathematics. Grant Sanderson argues the opposite: even if machines prove theorems better than we do, the institution of math stays valuable—and this is a rare moment when newcomers can reshape it.MathematicsAI for scienceHuman-AI Collaboration+2
18:57EN
AI Engineer· 16 oct 2026How Redding Ridge Uses AI to Assemble Credit Portfolio DataMichael Manapat, Jack McDonald · RowspaceJack McDonald and Rowspace’s Michael Manapat discuss portfolio construction, reconciliation and the need to validate fragmented financial data.IA en finanzasIA empresarialData quality & curation+2
50:31EN
a16z· 15 oct 2026Pódcast · 2 vocesTerry Angelos on Payment Credentials for AI AgentsInvitado: Terry Angelos · Presenta: Alex RampellA discussion of wallet competition, tokenized payments and who is responsible when an agent buys the wrong thing.Agentic commerceAutenticación de agentesIA en finanzas+1
2:51:18EN
Zhang Xiaojun Podcast· 15 oct 2026Pódcast · 2 vocesLindon Gao on Building Dyna Robotics and Finding a Path Through the FogInvitado: Lindon Gao · Presenta: 张小珺Dyna Robotics CEO Lindon Gao explains why his company builds intelligence through real workflows, how hardware and research must evolve together, and how a founder can find clarity by letting go of the need to be right.RoboticsProduct StrategyModelos y entrenamiento+2
2:51:18ZH
Zhang Xiaojun Podcast· 15 oct 2026Pódcast · 2 vocesDyna Robotics 创始人 Lindon Gao:从折叠任务到完整工作流Invitado: Lindon Gao · Presenta: 张小珺从无人零售到机器人创业,Gao 讲述产品研究、真实部署的难题和在不确定性中寻找方向。RoboticsCompany BuildingFounders+2
1:17:09EN
20VC with Harry Stebbings· 15 oct 2026Pódcast · 3 voces20VC on Pro Rata Rights, AI Pricing and the Changing Software MarketInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.Venture CapitalAI cost & performanceRobotics+2
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 15 oct 2026Pódcast · 2 vocesThe Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of CybersecurityPresenta: Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.SeguridadAI securitySeguridad y gobernanza+3
1:02EN
Matthew Berman· 15 oct 2026From Punched Cards to AI Software FactoriesMatthew Berman · Forward FutureMatthew Berman contrasts early programming with an AI-assisted workflow and promotes Factory’s development tools.Fábricas de softwareAgentes de programaciónSoftware engineering+1
41:54EN
All-In Podcast· 15 oct 2026Pódcast · 2 vocesBilly Evans on Elizabeth Holmes’s Trial, Prison and Their FamilyInvitado: Billy Evans · Presenta: David FriedbergIn an All-In interview, Holmes’s husband describes their relationship, his view of the fraud case and a forthcoming documentary.Company BuildingLeadership
56:49EN
Stanford AI Club· 15 oct 2026Alfred Lin on Building in the AI Era: The Diffusion Gap, Founder Conviction, and Fire and IceAlfred Lin, Jason Zhang, Tanvir Bhathal · Sequoia CapitalAt Stanford AI Club, Sequoia’s Alfred Lin explains where he sees opportunity in AI and why learning, human understanding, and operating discipline still shape enduring companies.Company BuildingAI startups & small teamsVenture Capital+2
3 diapositivas2:51:22EN
Cognitive Revolution "How AI Changes Everything"· 14 oct 2026Pódcast · 4 vocesAI Minds and 8 mm Memories: Research, Archives and SimulationInvitado: Cameron Berg, Phil Maher · Presenta: Nathan Labenz, Prakash NarayananCameron Berg discusses hidden model states; Phil Maher explains preserving home movies and a fly-brain demo.ConsciousnessAI researchAI Safety+2
2:17:48EN
Cognitive Revolution "How AI Changes Everything"· 14 oct 2026PódcastAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to BargainPresenta: Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.AgentesSeguridad y gobernanzaAI security+3
7 diapositivas38:30EN
Theo - t3․gg· 14 oct 2026Theo Tests Gemini 4 Argon: Design Strengths and Code-Review ConcernsTheo Browne · Ping LabsA strong result on a narrow skateboarding benchmark contrasts with poor findings in Theo’s own codebase audits.GeminiAgentes de programaciónEvaluaciones+2
5 diapositivas12:14EN
Matthew Berman· 14 oct 2026Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.GeminiBenchmarksAgentes de programación+1
58:49EN
a16z· 14 oct 2026Pódcast · 2 vocesNathan Lambert on Open Models, Frontier Labs and TrilliumInvitado: Nathan Lambert · Presenta: Lisha LiA discussion of compute, post-training data and an open research agenda for understanding AI automation.Open-weight modelsAI researchModelos y entrenamiento+2
4 diapositivas44:12EN
SemiAnalysis· 14 oct 2026Pódcast · 3 vocesGLM 5.3, Sparse Attention and the Cost of InferenceInvitado: Kimbo Chen, Wenyao Gao · Presenta: Jordan NanosSemiAnalysis examines memory bottlenecks, AMD and NVIDIA serving results, post-training and support for Chinese chips.InferenceOpen-weight modelsSemiconductors+1
5 diapositivas10:36EN
Matthew Berman· 13 oct 2026Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.Modelos y entrenamientoBenchmarksAI cost & performance+1
Cargar másMostrando 24 de 3981