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Cognitive Revolution "How AI Changes Everything"hier +32Derniers articles
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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.
47:49ENKevin Mandia on AI Attacks and Continuous Security TestingInvité : Kevin Mandia · Anime : David GeorgeThe Armadin CEO explains his company’s approach and his predictions for automated attack and defense.
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.
1:19:35ENAndrew Huberman on Sleep, Neurotechnology and the Future of Brain InterfacesInvité : Andrew Huberman · Anime : Patrick O'ShaughnessyA conversation with Patrick O’Shaughnessy about evidence and possibilities.
29:39ENThe State of Software Engineering in 2026: What Changed and What Did NotGergely Orosz reports from AI labs, startups and large technology companies.
56:31ENPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabAnime : Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.
35:41ENChatGPT Sites for Work, Music and GamesInvité : Kath Korevec · Anime : Claire VoOpenAI’s Kath Korevec demonstrates connected sites and personal projects.
49:48ENWho Pays for Consumer AI, and What Could Bring It to Everyone Else?Invité : Olivia Moore, Josh Elman · Anime : Elena Burgera16z’s consumer AI report finds concentrated spending among power users and asks what products and business models could broaden adoption.
1:10:29ENHow Anthropic Used Claude to Improve App PerformanceTheo Browne · Ping LabsTheo Browne examines a two-week performance sprint, its measurement tools, human review and the tradeoffs behind faster interfaces.
1:11:14ENVenky Ganesan on AI Venture Investing, Ownership and the Cost of Missing OutInvité : Venky Ganesan · Anime : Harry StebbingsMenlo Ventures' partner discusses seed bets, concentrated follow-ons, market cycles, investor liquidity and the discipline needed when AI valuations accelerate.
0:26ENA DeepSeek V4.1 Flash Portrait Painted Through a Browser ToolMatthew Berman · Forward FutureMatthew Berman compares a reference headshot with a stylized result made using a Paint-like website.
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