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23:04EN
OpenAI· 2026년 10월 7일AI Cost per Completed Task: Models, Caching and EvaluationAn OpenAI DevDay panel discusses cost–quality tradeoffs in AI applications.AI cost & performance평가(Evals)인프라와 배포
1:10:12EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 7일팟캐스트OutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell Anyway진행자 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.기업과 전략엔터프라이즈 AI코딩 에이전트+3
22:01EN
OpenAI· 2026년 10월 7일Codex Beyond the Laptop: Cloud Tasks and Team WorkflowsA DevDay 2026 demonstration of cloud environments, collaboration and agent interfaces.개발 워크플로와 테스트Agent orchestration
19:40EN
OpenAI· 2026년 10월 7일How OpenAI Teams Use ChatGPT for Ongoing WorkA DevDay 2026 presentation on launch monitoring, research and shared knowledge.제품과 UXAI Strategy
1:23:05EN
Reid Hoffman· 2026년 10월 7일팟캐스트 · 3명Building Shared Infrastructure for Online Safety게스트 Camille François · 진행자 Reid Hoffman, Aria FingerROOST’s Camille François discusses open tools, review workflows and protection for young people.안전과 거버넌스AI Safety
슬라이드0:29EN
Theo - t3․gg· 2026년 10월 7일Theo’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.코딩 에이전트AI cost & performance
슬라이드 5장21:29EN
Matthew Berman· 2026년 10월 7일Mistral 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.Open-weight modelsBenchmarksAI security+1
슬라이드 2장0:39EN
Matthew Berman· 2026년 10월 7일Finding 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.멀티모달과 미디어GeminiCreativity
슬라이드 5장25:39EN
Matthew Berman· 2026년 10월 7일Personal 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.Personal agentsWorkflow automationProductivity+1
12:49EN
OpenAI· 2026년 10월 7일Alex 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.에이전트인프라와 배포Generative media+2
13:12EN
OpenAI· 2026년 10월 7일Alexandra 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.코딩 에이전트엔터프라이즈 AI에이전트+2
슬라이드 3장50:13EN
SemiAnalysis· 2026년 10월 7일팟캐스트 · 3명How SemiAnalysis Compared AI Subscription Limits게스트 Max Kan, Andrew Megalaa · 진행자 Jordan NanosA snapshot of token accounting, cache-heavy workloads and the assumptions behind API-equivalent subscription values.PricingInference모델과 학습+1
슬라이드 7장28:17EN
Theo - t3․gg· 2026년 10월 6일Ultrafast 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.코딩 에이전트AI cost & performanceDeveloper productivity
47:49EN
a16z· 2026년 10월 6일팟캐스트 · 2명Kevin Mandia on AI Attacks and Continuous Security Testing게스트 Kevin Mandia · 진행자 David GeorgeThe Armadin CEO explains his company’s approach and his predictions for automated attack and defense.AI security보안과 안전AI agents
1:04:26EN
Sequoia Capital· 2026년 10월 6일팟캐스트At 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.인프라와 배포AI cost & performanceInference+3
2:40:38EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 6일팟캐스트 · 3명AI’s Memory Wall and the Work of AI Engineering게스트 Thomas Sohmers, Shawn Wang · 진행자 Nathan LabenzThomas Sohmers discusses inference hardware; Shawn Wang examines agent workflows and evaluation.인프라와 배포SemiconductorsAI 엔지니어링 리더십+1
1:19:35EN
Invest Like The Best· 2026년 10월 6일팟캐스트 · 2명Andrew Huberman on Sleep, Neurotechnology and the Future of Brain Interfaces게스트 Andrew Huberman · 진행자 Patrick O'ShaughnessyA conversation with Patrick O’Shaughnessy about evidence and possibilities.NeuroscienceBrain-Computer InterfacesHuman-AI Collaboration
29:39EN
The Pragmatic Engineer· 2026년 10월 6일팟캐스트The State of Software Engineering in 2026: What Changed and What Did NotGergely Orosz reports from AI labs, startups and large technology companies.Software engineering코딩 에이전트Developer productivity
56:31EN
Unsupervised Learning: With Jacob Effron· 2026년 10월 6일팟캐스트Post-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab진행자 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.모델과 학습Post-trainingReinforcement Learning+3
35:41EN
How I AI· 2026년 10월 5일팟캐스트 · 2명ChatGPT Sites for Work, Music and Games게스트 Kath Korevec · 진행자 Claire VoOpenAI’s Kath Korevec demonstrates connected sites and personal projects.Product DesignWorkflow automationAI agents
49:48EN
a16z· 2026년 10월 5일팟캐스트 · 3명Who Pays for Consumer AI, and What Could Bring It to Everyone Else?게스트 Olivia Moore, Josh Elman · 진행자 Elena Burgera16z’s consumer AI report finds concentrated spending among power users and asks what products and business models could broaden adoption.AI StrategyProduct StrategyAI agents+1
슬라이드 14장1:10:29EN
Theo - t3․gg· 2026년 10월 5일How 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.코딩 에이전트Developer productivitySoftware engineering
1:11:14EN
20VC with Harry Stebbings· 2026년 10월 5일팟캐스트 · 2명Venky Ganesan on AI Venture Investing, Ownership and the Cost of Missing Out게스트 Venky Ganesan · 진행자 Harry StebbingsMenlo Ventures' partner discusses seed bets, concentrated follow-ons, market cycles, investor liquidity and the discipline needed when AI valuations accelerate.Venture CapitalInvestingAI startups & small teams+1
슬라이드0:26EN
Matthew Berman· 2026년 10월 4일A 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.Generative mediaAI agents
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