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Cognitive Revolution "How AI Changes Everything"hier +32Derniers articles
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1:26:46ENThere Likely Is a Level of Intelligence We Shouldn't Go PastAnime : Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.
0:33ENMistral Large 4’s Rubik’s Cube Simulation Fails a Functionality TestMatthew Berman · Forward FutureMatthew Berman tests a generated Rubik’s Cube simulation and finds that scrambling and color handling fail in different iterations.
1:15:51ENThe AI Race, Founder Loyalty and the New Rules of Enterprise SoftwareInvité : Dev Ittycheria, Jason Lemkin, Rory O’Driscoll · Anime : Harry StebbingsHarry Stebbings, Dev Ittycheria, Jason Lemkin and Rory O’Driscoll debate model competition, startup exits and what happens when AI agents choose vendors.
34:50ENClawLabs: Building Open Source with Shared AgentsKevin LinA DevDay demonstration of team workflows, ongoing automation and agent controls.
33:33ENIs the $200 Codex Plan Still Worth It?Theo Browne · Ping LabsTheo Browne compares subscription usage, API-equivalent estimates, model efficiency and the cost of Ultrafast.
2:45:14ENAI Safety Strategy and Work Agents: From Formal Methods to Better EvaluationsInvité : Evan Miyazono, Edward Hu · Anime : Nathan LabenzEvan Miyazono and Edward Hu discuss neglected risks, agent identity, workplace benchmarks and reward design.
18:35ENItamar Friedman on AI Code Review and Engineering ContextDanielle, Itamar FriedmanQodo’s CEO discusses reviewers, knowledge and human judgment at DevDay 2026.
23:00ENFrom Individual Agents to Team Workflows: A DevDay DemonstrationJason · Jane StreetOpenAI’s Jason explores context, shared pages and reusable plugins.
1:59:04ENSam Newman on Resilient Distributed SystemsInvité : Sam Newman · Anime : Gergely OroszMicroservice tradeoffs, observability, retries and preserving understanding with AI.
23:04ENAI Cost per Completed Task: Models, Caching and EvaluationAn OpenAI DevDay panel discusses cost–quality tradeoffs in AI applications.
1:10:12ENOutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell AnywayAnime : Nathan LabenzCEO Woodson Martin on software that never breaks, why most enterprise work does not need a frontier model, and how AI is finally shrinking the IT backlog.
22:01ENCodex Beyond the Laptop: Cloud Tasks and Team WorkflowsA DevDay 2026 demonstration of cloud environments, collaboration and agent interfaces.
19:40ENHow OpenAI Teams Use ChatGPT for Ongoing WorkA DevDay 2026 presentation on launch monitoring, research and shared knowledge.
1:23:05ENBuilding Shared Infrastructure for Online SafetyInvité : Camille François · Anime : Reid Hoffman, Aria FingerROOST’s Camille François discusses open tools, review workflows and protection for young people.
0:29ENTheo’s Ultrafast Test: $600 of Usage for Two PR ReviewsTheo Browne · Ping LabsA short example illustrates how quickly token costs can rise when using Ultrafast for everyday review work.
21:29ENMistral Large 4 Preview: European Open Weights, Cyber Benchmarks and Setup FrictionMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported specifications and benchmarks, then tests it in an agent coding workflow.
0:39ENFinding Nano Banana 2.1 in Google AI StudioMatthew Berman · Forward FutureMatthew Berman shows the model selector and generates a close-up portrait in a short October 2026 demonstration.
25:39ENPersonal AI Assistants in Practice: Briefs, Family Logistics, Email and BillsMatthew Berman · Forward FutureMatthew Berman describes how he connects assistants to everyday workflows and sets approval rules for consequential actions.
12:49ENAlex Mashrabov: Higgsfield agents that choose models and launch their own GPUsAlex Mashrabov · HiggsfieldAt OpenAI DevDay 2026, Higgsfield's CEO walks through why a continuous media experience needs an agent that picks models, scores its own output, and provisions GPUs — including a live 10-hour AI stream small teams can now ship.
13:12ENAlexandra Lato on Building Stack Overflow for Agents and Stack Internal with CodexAarti Bagul, Alexandra Lato · OpenAIStack Overflow’s VP of Product explains how a small team used Codex with opposite constraints on two products—and why agent-native design means letting agents contribute knowledge, not just read it.
50:13ENHow SemiAnalysis Compared AI Subscription LimitsInvité : Max Kan, Andrew Megalaa · Anime : Jordan NanosA snapshot of token accounting, cache-heavy workloads and the assumptions behind API-equivalent subscription values.
28:17ENUltrafast Coding: A Live Design Loop With a Steep CostTheo Browne · Ping LabsTheo Browne explores how fast inference changes his workflow, and why he still advises against upgrading solely for Ultrafast.
1:04:26ENAt 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.
2:40:38ENAI’s Memory Wall and the Work of AI EngineeringInvité : Thomas Sohmers, Shawn Wang · Anime : Nathan LabenzThomas Sohmers discusses inference hardware; Shawn Wang examines agent workflows and evaluation.
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