최근 업데이트된 채널

선택하면 해당 채널만 표시모든 채널 보기 →

최신 글

4,008개
정렬
슬라이드0:22EN
Matthew Berman· 2026년 10월 21일A Robot Bodyguard Video Shows Dramatic Rescue ScenariosMatthew Berman · Forward FutureMatthew Berman reacts to a short robot demonstration depicting fighting and vehicle-rescue scenarios.Robotics평가(Evals)
45:08EN
Matthew Berman· 2026년 10월 21일Sam Altman on AI Discovery, Consciousness, Compute and a Human-Centered FutureMatthew Berman, Sam Altman · Forward FutureIn a conversation with Matthew Berman, Altman discusses scientific progress, personal assistants, recursive self-improvement and the importance of human agency.AI for sciencePersonal agentsConsciousness+2
0:32EN
Matthew Berman· 2026년 10월 21일Sam Altman on the Continuing Demand for Software WorkSam Altman, Matthew Berman · OpenAIIn a short interview excerpt, Altman says demand for software may be larger than expected even as AI changes how it is made.Future of WorkSoftware engineering코딩 에이전트
슬라이드16:58EN
AI Engineer· 2026년 10월 20일Lincoln Murr on Payments, Trading, and Trust for AI AgentsLincoln Murr · CoinbaseCoinbase’s AI product lead describes x402, potential financial workflows, and a gradual approach to agent autonomy.AI Strategy제품과 UX안전과 거버넌스
슬라이드 6장15:30EN
AI Engineer· 2026년 10월 20일How Monzo Built Agent Chip into a Reusable Banking PlatformFelippe Felisola Caso, Francesco Galletta · MonzoMonzo’s team explains the platform, access controls and workflows behind its in-house agent.코딩 에이전트Agent orchestration엔터프라이즈 AI+2
슬라이드 2장34:47EN
SemiAnalysis· 2026년 10월 20일팟캐스트 · 3명Why SemiAnalysis Raised Its 2027 Data Center Forecast게스트 Jeremie Ontiveros, Reyk Knuhtsen · 진행자 Jordan NanosJeremie Ontiveros and Reyk Knuhtsen explain their project-level model, construction risks and the possibility of a future capacity imbalance.인프라와 배포Semiconductors
슬라이드 3장17:41EN
AI Engineer· 2026년 10월 20일Al Chen: Evidence, Recovery and Data Controls for AI in BanksAl Chen · CiscoA practical discussion of vulnerabilities, disaster recovery and sensitive data in bank AI deployments.엔터프라이즈 AI보안과 안전Privacy & data governance+2
37:14EN
The Builders· 2026년 10월 20일Elon Musk on AI Control, Robot Abundance, and His Regrets About DOGE게스트 Elon Musk · 진행자 Walter IsaacsonWalter Isaacson asks Elon Musk how humanity can remain safe and find purpose as AI grows more capable, and challenges him on politics, empathy, and the future he is building.AI SafetyRoboticsAGI(범용 인공지능)+2
55:07EN
a16z· 2026년 10월 20일팟캐스트 · 2명Karan Singhal on AI, Trust and the Future of Health Care게스트 Karan Singhal · 진행자 Jay RughaniOpenAI’s health AI research lead discusses medical evaluations, patient support and the gap between information and care.AI in healthcareAI SafetyAI research
슬라이드 6장17:42EN
AI Engineer· 2026년 10월 20일Oliver Kennon: Why GPU Operating Capability Changes the Cost of AIOliver Kennon · SemiAnalysisA comparison of inference configurations leads to a broader discussion of useful output, security, costs and compute futures.InferenceAI cost & performance인프라와 배포+2
슬라이드 4장31:13EN
Theo - t3․gg· 2026년 10월 20일Theo on Why Smarter Models Help More Than DevelopersTheo Browne · Ping LabsFrom game modifications to compiler experiments, Theo revisits his assumptions about who benefits from more capable AI.코딩 에이전트Developer productivityHuman-AI Collaboration+1
28:23EN
GOTO Conferences· 2026년 10월 19일Learning Ash: Declarative Elixir Apps, Testing and ExtensibilityChristian Alexander, Rebecca Le, Zach DanielRebecca Le and Zach Daniel explain how their book and the framework evolved together.Software engineering
1:01:59EN
a16z· 2026년 10월 19일팟캐스트 · 2명Jean-Denis Greze on Leaving Tax Software to Build an AI Assistant게스트 Jean-Denis Greze · 진행자 Alex RampellThe Town founder explains why a growing tax business was not the opportunity he wanted, and how he thinks AI agents could change everyday work.AI startups & small teamsPersonal agentsEntrepreneurship+1
슬라이드 3장17:32EN
AI Engineer· 2026년 10월 19일Evan Kormos: Building Evidence Before Letting Agents Work with Less SupervisionEvan Kormos · CoinbaseA Coinbase engineer explains policy boundaries, workflow graphs, evaluations and a staged approach to oversight.에이전트 엔지니어링평가(Evals)엔터프라이즈 AI+1
슬라이드 3장51:37EN
AI Engineer· 2026년 10월 19일Pamela Fox: Test Model Swaps Against Your Own ApplicationPamela Fox · MicrosoftA hands-on workshop compares grounding, vision, tool use and evaluation across model configurations.평가(Evals)에이전트 엔지니어링검색 증강 생성(RAG)+1
슬라이드 3장18:51EN
AI Engineer· 2026년 10월 19일Prathik Naidu: Using Acquisitions to Deploy AI in ServicesPrathik Naidu · Long LakeLong Lake’s founding partner explains the investment and operational case for buying services companies and deploying AI inside them.기업과 전략Company BuildingAI Strategy+1
슬라이드 2장18:14EN
AI Engineer· 2026년 10월 19일Jediah Katz: Why Agent Harnesses Still Matter as Models ImproveJediah Katz · SpaceXAIA harness engineer discusses the model data flywheel, long-running agents, security and efficiency.에이전트 엔지니어링코딩 에이전트AI cost & performance+1
40:33EN
All-In Podcast· 2026년 10월 19일팟캐스트 · 2명Dylan Field on Figma, AI and Why Design Still Matters게스트 Dylan FieldThe Figma CEO discusses the failed Adobe acquisition, competition from AI model providers and the role of human intention in creative work.제품과 UXGenerative mediaProduct Strategy
1:19:50EN
20VC with Harry Stebbings· 2026년 10월 19일팟캐스트 · 2명Sameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company Culture게스트 Sameer Dholakia · 진행자 Harry StebbingsThe Bessemer partner explains his approach to pricing fast-growing AI companies, backing founders and building teams, while discussing the risks behind his optimistic forecasts.Venture CapitalAI StrategyLeadership+2
슬라이드 5장1:01:04EN
AI Engineer· 2026년 10월 18일Nick Nisi and Zack Proser: Give Coding Agents Evidence That Their Work Is DoneNick Nisi, Zack Proser · WorkOSA WorkOS workshop uses a broken waitlist to show how repeatable checks, receipts and evaluations support agent-assisted development.코딩 에이전트개발 워크플로와 테스트평가(Evals)+2
슬라이드 4장31:47EN
Theo - t3․gg· 2026년 10월 18일Theo on Asking Agents for Outcomes and Building the Tools They NeedTheo Browne · Ping LabsA tool-call report, a troubleshooting playbook and connected data show how prompting can reshape product engineering.Prompting & in-context learning코딩 에이전트에이전트 엔지니어링+2
슬라이드 5장44:30EN
AI Engineer· 2026년 10월 18일Denys Linkov: Making Messy Insurance Claims Data Useful for AIDenys Linkov · WisedocsWisedocs’ AI leader describes duplicate records, missing evidence, evaluation and the path from individual medical claims to portfolio insights.AI in healthcareData quality & curation평가(Evals)+2
슬라이드0:22EN
Matthew Berman· 2026년 10월 18일DeepSeek's Memory Use: A Short Claim About KV CacheMatthew Berman · Forward FutureMatthew Berman links lower cache memory use to serving more tokens, but the excerpt does not state the comparison behind its figures.KV caching & prefix reuseInference인프라와 배포
슬라이드 4장49:35EN
AI Engineer· 2026년 10월 18일OpenProse: Declaring Outcomes for Event-Driven Agent WorkflowsDan Barrett, Raymond Weitekamp · OpenProseDan Barrett and Raymond Weitekamp demonstrate Markdown contracts, pull-request review and financial model documentation.Agent orchestrationMulti-agent systemsWorkflow automation+2
더 보기4,008개 중 24개 표시