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4,209 件
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23:04EN
OpenAI· 2026年10月7日AI Cost per Completed Task: Models, Caching and EvaluationAn OpenAI DevDay panel discusses cost–quality tradeoffs in AI applications.AI cost & performance評価(Evals)インフラとデプロイ
1:10:12EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月7日ポッドキャストOutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell Anywayホスト 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.企業と戦略エンタープライズ AIコーディングエージェント+3
22:01EN
OpenAI· 2026年10月7日Codex Beyond the Laptop: Cloud Tasks and Team WorkflowsA DevDay 2026 demonstration of cloud environments, collaboration and agent interfaces.開発ワークフローとテストAgent orchestration
19:40EN
OpenAI· 2026年10月7日How OpenAI Teams Use ChatGPT for Ongoing WorkA DevDay 2026 presentation on launch monitoring, research and shared knowledge.プロダクトと UXAI Strategy
1:23:05EN
Reid Hoffman· 2026年10月7日ポッドキャスト · 3 人Building Shared Infrastructure for Online Safetyゲスト Camille François · ホスト Reid Hoffman, Aria FingerROOST’s Camille François discusses open tools, review workflows and protection for young people.安全性とガバナンスAI Safety
スライド0:29EN
Theo - t3․gg· 2026年10月7日Theo’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.コーディングエージェントAI cost & performance
スライド 5 枚21:29EN
Matthew Berman· 2026年10月7日Mistral 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
スライド 2 枚0:39EN
Matthew Berman· 2026年10月7日Finding 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.マルチモーダルとメディアGeminiCreativity
スライド 5 枚25:39EN
Matthew Berman· 2026年10月7日Personal 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· 2026年10月7日Alex 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.エージェントインフラとデプロイGenerative media+2
13:12EN
OpenAI· 2026年10月7日Alexandra 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.コーディングエージェントエンタープライズ AIエージェント+2
スライド 3 枚50:13EN
SemiAnalysis· 2026年10月7日ポッドキャスト · 3 人How SemiAnalysis Compared AI Subscription Limitsゲスト Max Kan, Andrew Megalaa · ホスト Jordan NanosA snapshot of token accounting, cache-heavy workloads and the assumptions behind API-equivalent subscription values.PricingInferenceモデルと学習+1
スライド 7 枚28:17EN
Theo - t3․gg· 2026年10月6日Ultrafast 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.コーディングエージェントAI cost & performanceDeveloper productivity
47:49EN
a16z· 2026年10月6日ポッドキャスト · 2 人Kevin Mandia on AI Attacks and Continuous Security Testingゲスト Kevin Mandia · ホスト David GeorgeThe Armadin CEO explains his company’s approach and his predictions for automated attack and defense.AI securityセキュリティと安全性AI agents
1:04:26EN
Sequoia Capital· 2026年10月6日ポッドキャストAt 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.インフラとデプロイAI cost & performanceInference+3
2:40:38EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月6日ポッドキャスト · 3 人AI’s Memory Wall and the Work of AI Engineeringゲスト Thomas Sohmers, Shawn Wang · ホスト Nathan LabenzThomas Sohmers discusses inference hardware; Shawn Wang examines agent workflows and evaluation.インフラとデプロイSemiconductorsAI エンジニアリングのリーダーシップ+1
1:19:35EN
Invest Like The Best· 2026年10月6日ポッドキャスト · 2 人Andrew Huberman on Sleep, Neurotechnology and the Future of Brain Interfacesゲスト Andrew Huberman · ホスト Patrick O'ShaughnessyA conversation with Patrick O’Shaughnessy about evidence and possibilities.NeuroscienceBrain-Computer InterfacesHuman-AI Collaboration
29:39EN
The Pragmatic Engineer· 2026年10月6日ポッドキャストThe State of Software Engineering in 2026: What Changed and What Did NotGergely Orosz reports from AI labs, startups and large technology companies.Software engineeringコーディングエージェントDeveloper productivity
56:31EN
Unsupervised Learning: With Jacob Effron· 2026年10月6日ポッドキャストPost-Training Wins Inference: Why Owning the Weights Beats Betting on One Labホスト 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.モデルと学習Post-trainingReinforcement Learning+3
35:41EN
How I AI· 2026年10月5日ポッドキャスト · 2 人ChatGPT Sites for Work, Music and Gamesゲスト Kath Korevec · ホスト Claire VoOpenAI’s Kath Korevec demonstrates connected sites and personal projects.Product DesignWorkflow automationAI agents
49:48EN
a16z· 2026年10月5日ポッドキャスト · 3 人Who Pays for Consumer AI, and What Could Bring It to Everyone Else?ゲスト Olivia Moore, Josh Elman · ホスト 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
スライド 14 枚1:10:29EN
Theo - t3․gg· 2026年10月5日How 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.コーディングエージェントDeveloper productivitySoftware engineering
1:11:14EN
20VC with Harry Stebbings· 2026年10月5日ポッドキャスト · 2 人Venky Ganesan on AI Venture Investing, Ownership and the Cost of Missing Outゲスト Venky Ganesan · ホスト 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
スライド0:26EN
Matthew Berman· 2026年10月4日A 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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