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3 diapositives15:21EN
AI Engineer· 9 nov. 2026Ashwin Paranjape: Testing financial agents against earnings consensusAshwin Paranjape · Samaya AISamaya compares seven models on more than 450 earnings releases using time-limited data, a bias-corrected baseline and several scoring methods.IA en financeÉvaluationsIngénierie d’agents
3 diapositives17:57EN
AI Engineer· 9 nov. 2026Maty Bohacek: Can AI agents impersonate people to pass verification?Maty Bohacek · Stanford UniversityA controlled vault experiment tests whether agents use available audio and video impersonation tools, and how safety alignment changes the result.AI SafetyAgent red teamingAuthentification des agents
50:17EN
20VC with Harry Stebbings· 9 nov. 2026Podcast · 2 voixMistral’s Arthur Mensch on sovereign AI and the compute bottleneckInvité : Arthur Mensch · Anime : Harry StebbingsThe CEO says customers need model choice and continuity, while European infrastructure must scale ahead of demand.AI StrategyIA en entrepriseInfrastructure et déploiement+2
3 diapositives18:56EN
AI Engineer· 9 nov. 2026Pratyusha Duvvuri: Making AI token spending understandable to engineering and financePratyusha Duvvuri · CiscoA Cisco engineering lead explains why provider bills, team ownership and return on investment require different views of the same AI usage.AI cost & performanceÉvaluations et observabilitéProduct Management
4 diapositives45:21EN
Theo - t3․gg· 9 nov. 2026Theo: AI coding makes maintaining the development environment the jobTheo Browne · Ping LabsFrom Twitch to T3 Code, Theo argues that engineers must remove the friction and feedback failures that block agents.Agents de codeWorkflows de développement et testsSoftware engineering+2
3 diapositives16:57EN
Every· 9 nov. 2026PodcastFable 5.2 excels at ambitious builds, but its token costs add upEvery’s early tests found strong coding and creative work; a single documentary run used 1.4 billion tokens.Foundation ModelsAgents de codeDeveloper productivity+2
19:24EN
AI Engineer· 9 nov. 2026Richard Feldman: keep the agent conversation with the codeRichard Feldman · DeltaA shared thread can preserve decisions, reviews and handoff context that otherwise gets lost between teammates.Agents de codeHuman-AI CollaborationWorkflows de développement et tests+1
3 diapositives15:28EN
AI Engineer· 9 nov. 2026Ryan Carson: One manager agent coordinates 20 coding agentsRyan Carson · UntangleUntangle delegates coding, review and merge coordination to agents, but its founder watches each feature before approving shipment.Agent orchestrationAgents de codeWorkflows de développement et tests+2
4 diapositives1:50:34EN
AI Engineer· 9 nov. 2026A financial AI agent must show its workFrancesco Galletta, Felippe Felisola Caso · MonzoA wedding-budget demo pairs tested calculations with evidence, decision gates and independent checks.Harness engineeringAI agentsPersonal Finance+2
8 diapositives19:50EN
AI Engineer· 9 nov. 2026Keiji Kanazawa rebuilt his agent system after reading its codeKeiji Kanazawa · MicrosoftA three-week refactor produced fake agents and expensive tests. He rebuilt around explicit goals and evaluations.Agents de codeÉvaluationsIngénierie d’agents+2
4 diapositives20:51EN
AI Engineer· 9 nov. 2026Jason Mancuso: Scaling agent reinforcement learning across mixed GPUsJason Mancuso · ModalModal combines asynchronous rollouts, mismatch corrections and compressed weight updates to train coding agents across a fragmented GPU fleet.Ingénierie d’agentsModèles et entraînementInfrastructure et déploiement
4 diapositives24:47EN
How I AI· 9 nov. 2026PodcastClaire Vo: Fable 5.2 excels at creative builds, but not every designA marketing animation, furniture guide and 3D typewriter impressed Vo; independently generated website designs did not.Foundation ModelsAgents de codeGenerative media+2
4 diapositives24:18EN
Matthew Berman· 9 nov. 2026Fable 5.2 built playable demos—but several cost thousandsMatthew Berman · Forward FutureMatthew Berman shows games, creative software and simulations, with estimated API costs from $25 to $15,000.Agents de codeFoundation ModelsAI cost & performance+2
7 diapositives18:32EN
AI Engineer· 8 nov. 2026Why a plausible contract analysis missed $800,000Natalia Connolly, Kevin Madura · AlixPartnersAlixPartners’ Natalia Connolly and Kevin Madura show how missing links, renewal clauses and silent access errors can derail an AI procurement analysis.Ingénierie d’agentsIA en entrepriseData quality & curation+1
3 diapositives23:15EN
Latent Space· 8 nov. 2026Podcast · 2 voixJay Parikh: GitHub must adapt as coding agents change developmentInvité : Jay Parikh · Anime : Shawn WangGitHub's scale, model choices and security are changing as agents join developers, says Microsoft CoreAI's Jay Parikh.Agents de codeWorkflows de développement et testsInfrastructure et déploiement+2
58:33EN
Lenny's Podcast· 8 nov. 2026Podcast · 2 voixGemini’s product chief on testing models and building ahead of themInvité : Tulsee Doshi · Anime : Lenny RachitskyTulsee Doshi explains a small-eval starting point, her 60-20-20 product framework and why model behavior itself is a user experience.Product ManagementFoundation ModelsÉvaluations+2
46:40EN
Peter Yang· 8 nov. 2026Podcast · 2 voixAshley Alexander: How AI Helps Me Care for My Parents With CancerInvité : Ashley Alexander · Anime : Peter YangA caregiver uses AI to prepare for appointments, organize records and ask better questions—while keeping doctors at the center of treatment.AI in healthcareHuman-AI CollaborationProductivity
12:38EN
Chris Williamson· 8 nov. 2026Podcast · 2 voixWhat makes AI-generated work feel like slop?Anime : Chris WilliamsonChris Williamson and his guest ask creators to explain their judgments, and to distinguish a tool’s defaults from intentional craft.CreativityGenerative mediaHuman-AI Collaboration
6 diapositives18:56EN
AI Engineer· 8 nov. 2026How Citadel Securities builds a memory that catches troubled projectsJoao Wenzel · Citadel SecuritiesJoao Wenzel describes an agent system that weighs evidence, tracks aging facts and tests its warnings against what happened next.Ingénierie d’agentsIA en entrepriseÉvaluations+2
7 diapositives18:39EN
AI Engineer· 8 nov. 2026How Ramp tests a bookkeeping agent before and after launchRyan Stevens · RampRyan Stevens explains synthetic businesses, all-or-nothing scoring, skill ablation and a two-period test for agent memory.ÉvaluationsIngénierie d’agentsIA en entreprise
5 diapositives16:09EN
AI Engineer· 8 nov. 2026How Range’s financial planners built their own AI workflowsMatt Ragone · RangeMatt Ragone’s team used real cases and existing advice standards to build skills, while keeping a certified planner’s review before client delivery.Ingénierie d’agentsIA en entrepriseWorkflow automation+1
6 diapositives20:28EN
AI Engineer· 8 nov. 2026Why AI coding gains depend on more than faster code generationMartin Harrysson, Prakhar Dixit · McKinseyMcKinsey speakers describe smaller teams, shorter loops, curated context and quality checks observed among enterprise clients.Developer productivityIngénierie d’agentsSoftware engineering+1
6 diapositives1:21:42EN
Y Combinator· 8 nov. 2026What AI biology can do now, from cancer data to DNA designAlfredo Gonzalez, Yusuf Roohani, Garyk Brixi, Divya NoriFour researchers explain patient-specific cancer analysis, virtual cells and genome models, separating early experiments from proposed clinical applications.AI for scienceDrug DiscoveryFoundation Models+1
3 diapositives31:22EN
AI Engineer· 7 nov. 2026Nouha Dziri on Making Coding-Agent Teams More Cost-EfficientNouha Dziri · CohereExperiments on ProgramBench and Commit0 show why the task bottleneck, lead model and coordination design matter more than simply adding agents.Multi-agent systemsAgents de codeAgent orchestration+2
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