Chaînes mises à jour récemment

Choisissez-en une pour ne voir qu’elleToutes les chaînes →

Résultats

20 articles
Trier
5 diapositives20:55EN
AI Engineer· 26 oct. 2026Jesse Hall: Build Voice Agents for Conversations, Not LeaderboardsJesse Hall · LiveKitLiveKit’s Jesse Hall explains how to evaluate voice agents as real-time systems: understand callers, handle interruptions, keep talking while tools run, and measure the delay people actually hear.IA vocaleIngénierie d’agentsÉvaluations+2
8 diapositives18:27EN
AI Engineer· 26 oct. 2026Daksh Gupta on Building a Better AI Code Review AgentDaksh Gupta · GreptileGreptile co-founder Daksh Gupta explains why a webhook plus a coding agent is not enough for reliable pull-request review—and how targeted prompts, incident data, model inversion, codebase context, browser testing, and task-specific model routing can help.Code review & verificationAgents de codeWorkflows de développement et tests+2
23:48EN
20VC with Harry Stebbings· 26 oct. 2026Podcast · 2 voixSatya Nadella on Zero Trust for AI and Why Every Company Should Own Its IntelligenceInvité : Satya Nadella · Anime : Harry StebbingsThe Microsoft CEO argues that capable agents need security boundaries even as alignment research remains unsettled, and explains why firms should retain the value created by their own AI use.IA en entrepriseAI securityÉvaluations+2
6 diapositives25:50EN
MBMatthew Berman· 24 oct. 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
2 diapositives17:42EN
AI Engineer· 21 oct. 2026Is a Faster Model Actually Faster? Measure the Finished Job, Not the TokensMorgan Suo · MiniMaxMiniMax's Morgan Suo takes the engineering changes inside M3.1 Flash one by one and asks the question that matters to users: does the job an analyst needs actually get done sooner, cheaper and correctly?AI cost & performanceInferenceQuantization+2
5 diapositives16:57EN
MBMatthew Berman· 22 sept. 2026Grok 4.7 Compared: Coding, Knowledge Work and Cost per TaskMatthew Berman · Forward FutureMatthew Berman examines reported benchmarks and prices while noting missing competitors and limited hands-on testing.BenchmarksAI cost & performanceAgents de code+1
5 diapositives16:50EN
MBMatthew Berman· 3 sept. 2026Gemini 3.8 Flash: Benchmarks, Cost and Hands-On Coding TestsMatthew Berman · Forward FutureMatthew Berman compares Google's September 2026 model announcement with several practical visual and web-building examples.GeminiBenchmarksAI cost & performance+2
5 diapositives20:46EN
MBMatthew Berman· 26 août 2026Open-Weight AI Models: Token Share, Spending and Strategic TradeoffsMatthew Berman · Forward FutureMatthew Berman examines a Vercel AI Gateway snapshot and argues that model usage and spending can tell very different stories.Open-weight modelsAI cost & performanceAI Strategy+2
4 diapositives27:13EN
MBMatthew Berman· 21 juil. 2026Kimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.Open-weight modelsAI cost & performanceAI Regulation+2
3 diapositives18:34EN
MBMatthew Berman· 7 juil. 2026Model Routing for AI Coding: A Worked Cost ExampleMatthew Berman · Forward FutureMatthew Berman separates planning, implementation and review to explain how different models can fit different tasks.AI cost & performanceIngénierie d’agentsDeveloper productivity
5 diapositives17:03EN
MBMatthew Berman· 27 mai 2026DeepSWE: Testing Coding Agents on Longer Software TasksMatthew Berman · Forward FutureMatthew Berman reviews Datacurve’s benchmark, its verifier audit and the tradeoffs of comparing models under a shared harness.BenchmarksAgents de codeÉvaluations+2
5 diapositives15:48EN
JSJane Street· 15 mai 2026Inside Jane Street’s Texas AI Data CenterDwarkesh Patel, Yaron Minsky, Daniel Pontecorvo · Dwarkesh PatelDwarkesh Patel tours a 4,032-GPU training facility with Ron Minsky and Dan Pontecorvo, examining liquid cooling, power distribution and operational safeguards.Infrastructure et déploiementAI cost & performance
5 diapositives22:31EN
MBMatthew Berman· 5 févr. 2026Matthew Berman’s OpenClaw Setup: Models, Workflows, and SecurityMatthew Berman · Forward FutureA walkthrough of a personal AI assistant’s configuration, scheduling, integrations and practical automations, with attention to the risks of granting it access.AgentsIngénierie d’agentsSécurité+1
3 diapositives15:45EN
MBMatthew Berman· 18 avr. 2025AI News: Gemini 2.5 Flash, OpenAI Models, Claude Research and Kling 2.0Matthew Berman · Forward FutureMatthew Berman reviews a week of 2025 model releases, research tools and agent announcements, including historical price and benchmark comparisons.Modèles et entraînementAI cost & performanceAgents
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 févr. 2025Podcast · 2 voixThe $5.5 Million Was Only the Last MileAnime : Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.Modèles et entraînementAI StrategyAI cost & performance+3
23:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 janv. 2025Podcast · 2 voixA Hundred GPUs in Seconds: Why Modal Threw Out Docker and KubernetesAnime : Sarah Guo, Elad GilErik Bernhardsson tells Elad Gil that AI inference is too bursty for year-long GPU contracts, and that the cloud should feel as fast as a laptop.Infrastructure et déploiementInferenceAI cost & performance+3
5 diapositives19:06EN
MBMatthew Berman· 28 déc. 2024Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.Ingénierie d’agentsAgentsÉvaluations+1
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 mai 2024Podcast · 2 voixThe Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power PlantAnime : Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.Infrastructure et déploiementAI cost & performanceIngénierie du contexte+3
26:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 11 avr. 2024Podcast · 2 voixGPT-4-Class Models Will Be Cheap. The Frontier Will Still Need a Patron.Anime : Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Mosaic’s Law, Microsoft’s Inflection hire, where the real money sits, and why the first AI wave looks consumer.Entreprise et stratégieIA en entrepriseAI Strategy+3
23:57EN
No Priors: AI, Machine Learning, Tech, & StartupsPodcast · 2 voixChips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI BoomAnime : Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.Entreprise et stratégieInfrastructure et déploiementAI cost & performance+3