최신 글
4,225개정렬
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.
23:00ENOpenAI· 2026년 10월 7일From Individual Agents to Team Workflows: A DevDay DemonstrationJason · Jane StreetOpenAI’s Jason explores context, shared pages and reusable plugins.
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.
23:04ENOpenAI· 2026년 10월 7일AI Cost per Completed Task: Models, Caching and EvaluationAn OpenAI DevDay panel discusses cost–quality tradeoffs in AI applications.
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.
22:01ENOpenAI· 2026년 10월 7일Codex Beyond the Laptop: Cloud Tasks and Team WorkflowsA DevDay 2026 demonstration of cloud environments, collaboration and agent interfaces.
19:40ENOpenAI· 2026년 10월 7일How OpenAI Teams Use ChatGPT for Ongoing WorkA DevDay 2026 presentation on launch monitoring, research and shared knowledge.
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.
0:29EN
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.
21:29EN
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.
0:39ENMatthew 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.
25:39ENMatthew 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.
12:49ENOpenAI· 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.
13:12ENOpenAI· 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.
50:13EN
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.
28:17ENTheo - 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.
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.
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.
2:40:38ENCognitive 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.
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.
29:39ENThe 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.
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.
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.
49:48ENa16z· 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.더 보기4,225개 중 24개 표시