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슬라이드 3장15:21EN
AI Engineer· 2026년 11월 9일Ashwin 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.금융 AI평가(Evals)에이전트 엔지니어링
슬라이드 3장17:57EN
AI Engineer· 2026년 11월 9일Maty 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 teaming에이전트 인증
50:17EN
20VC with Harry Stebbings· 2026년 11월 9일팟캐스트 · 2명Mistral’s Arthur Mensch on sovereign AI and the compute bottleneck게스트 Arthur Mensch · 진행자 Harry StebbingsThe CEO says customers need model choice and continuity, while European infrastructure must scale ahead of demand.AI Strategy엔터프라이즈 AI인프라와 배포+2
슬라이드 3장18:56EN
AI Engineer· 2026년 11월 9일Pratyusha 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 & performance평가와 관측 가능성Product Management
슬라이드 4장45:21EN
Theo - t3․gg· 2026년 11월 9일Theo: 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.코딩 에이전트개발 워크플로와 테스트Software engineering+2
슬라이드 3장16:57EN
Every· 2026년 11월 9일팟캐스트Fable 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 Models코딩 에이전트Developer productivity+2
19:24EN
AI Engineer· 2026년 11월 9일Richard 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.코딩 에이전트Human-AI Collaboration개발 워크플로와 테스트+1
슬라이드 3장15:28EN
AI Engineer· 2026년 11월 9일Ryan 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 orchestration코딩 에이전트개발 워크플로와 테스트+2
슬라이드 4장1:50:34EN
AI Engineer· 2026년 11월 9일A 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
슬라이드 8장19:50EN
AI Engineer· 2026년 11월 9일Keiji 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.코딩 에이전트평가(Evals)에이전트 엔지니어링+2
슬라이드 4장20:51EN
AI Engineer· 2026년 11월 9일Jason 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.에이전트 엔지니어링모델과 학습인프라와 배포
슬라이드 4장24:47EN
How I AI· 2026년 11월 9일팟캐스트Claire 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 Models코딩 에이전트Generative media+2
슬라이드 4장24:18EN
Matthew Berman· 2026년 11월 9일Fable 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.코딩 에이전트Foundation ModelsAI cost & performance+2
슬라이드 7장18:32EN
AI Engineer· 2026년 11월 8일Why 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.에이전트 엔지니어링엔터프라이즈 AIData quality & curation+1
슬라이드 3장23:15EN
Latent Space· 2026년 11월 8일팟캐스트 · 2명Jay Parikh: GitHub must adapt as coding agents change development게스트 Jay Parikh · 진행자 Shawn WangGitHub's scale, model choices and security are changing as agents join developers, says Microsoft CoreAI's Jay Parikh.코딩 에이전트개발 워크플로와 테스트인프라와 배포+2
58:33EN
Lenny's Podcast· 2026년 11월 8일팟캐스트 · 2명Gemini’s product chief on testing models and building ahead of them게스트 Tulsee Doshi · 진행자 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 Models평가(Evals)+2
46:40EN
Peter Yang· 2026년 11월 8일팟캐스트 · 2명Ashley Alexander: How AI Helps Me Care for My Parents With Cancer게스트 Ashley Alexander · 진행자 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· 2026년 11월 8일팟캐스트 · 2명What makes AI-generated work feel like slop?진행자 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
슬라이드 6장18:56EN
AI Engineer· 2026년 11월 8일How 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.에이전트 엔지니어링엔터프라이즈 AI평가(Evals)+2
슬라이드 7장18:39EN
AI Engineer· 2026년 11월 8일How 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.평가(Evals)에이전트 엔지니어링엔터프라이즈 AI
슬라이드 5장16:09EN
AI Engineer· 2026년 11월 8일How 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.에이전트 엔지니어링엔터프라이즈 AIWorkflow automation+1
슬라이드 6장20:28EN
AI Engineer· 2026년 11월 8일Why 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 productivity에이전트 엔지니어링Software engineering+1
슬라이드 6장1:21:42EN
Y Combinator· 2026년 11월 8일What 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
슬라이드 3장31:22EN
AI Engineer· 2026년 11월 7일Nouha 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 systems코딩 에이전트Agent orchestration+2
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