최근 업데이트된 채널

선택하면 해당 채널만 표시모든 채널 보기 →

최신 글

4,377개
정렬
43:23EN
Y Combinator· 2026년 10월 8일Jeetu Patel on Cisco’s AI Infrastructure Bet and Engineering CultureJared Friedman, Jeetu PatelThe Cisco executive talks with YC’s Jared Friedman about growth, security and career lessons.엔터프라이즈 AI인프라와 배포Leadership
1:26:46EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 8일팟캐스트There Likely Is a Level of Intelligence We Shouldn't Go Past진행자 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.기업과 전략안전과 거버넌스AGI Timelines+3
슬라이드 2장0:33EN
Matthew Berman· 2026년 10월 8일Mistral 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.평가(Evals)코딩 에이전트Software engineering
1:15:51EN
20VC with Harry Stebbings· 2026년 10월 8일팟캐스트 · 4명The AI Race, Founder Loyalty and the New Rules of Enterprise Software게스트 Dev Ittycheria, Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Dev Ittycheria, Jason Lemkin and Rory O’Driscoll debate model competition, startup exits and what happens when AI agents choose vendors.엔터프라이즈 AIFoundation ModelsStartups+2
34:50EN
OpenAI· 2026년 10월 7일ClawLabs: Building Open Source with Shared AgentsKevin LinA DevDay demonstration of team workflows, ongoing automation and agent controls.에이전트 엔지니어링Software engineering안전과 거버넌스
슬라이드 6장33:33EN
Theo - t3․gg· 2026년 10월 7일Is 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.코딩 에이전트AI cost & performance모델과 학습
2:45:14EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 7일팟캐스트 · 3명AI Safety Strategy and Work Agents: From Formal Methods to Better Evaluations게스트 Evan Miyazono, Edward Hu · 진행자 Nathan LabenzEvan Miyazono and Edward Hu discuss neglected risks, agent identity, workplace benchmarks and reward design.AI Safety에이전트 엔지니어링평가(Evals)+2
18:35EN
OpenAI· 2026년 10월 7일Itamar Friedman on AI Code Review and Engineering ContextDanielle, Itamar FriedmanQodo’s CEO discusses reviewers, knowledge and human judgment at DevDay 2026.Code review & verification에이전트 엔지니어링Software engineering
23:00EN
OpenAI· 2026년 10월 7일From Individual Agents to Team Workflows: A DevDay DemonstrationJason · Jane StreetOpenAI’s Jason explores context, shared pages and reusable plugins.OpenAI에이전트 엔지니어링Human-AI Collaboration
1:59:04EN
The Pragmatic Engineer· 2026년 10월 7일팟캐스트 · 2명Sam Newman on Resilient Distributed Systems게스트 Sam Newman · 진행자 Gergely OroszMicroservice tradeoffs, observability, retries and preserving understanding with AI.Software engineering관측 가능성과 안정성
33:46EN
Every· 2026년 10월 7일팟캐스트 · 2명How Every Moved From Personal Bots to a Shared Company Agent게스트 Willie Williams · 진행자 Dan ShipperDan Shipper and Willie Williams discuss agent experiments, management feeds and the boundary between work and personal tools.Personal agents엔터프라이즈 AI에이전트 엔지니어링+1
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
더 보기4,377개 중 24개 표시