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4,421 件
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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
48:20EN
a16z· 2026年10月3日ポッドキャスト · 3 人Why Specialized AI Could Challenge the All-Purpose Modelゲスト Alex Atallah, Amjad Masad · ホスト Erik TorenbergOpenRouter and Replit leaders discuss model choice, agent coordination and safety.AI agentsモデルと学習エンタープライズ AI+1
1:05:01EN
20VC with Harry Stebbings· 2026年10月3日ポッドキャスト · 2 人Chase Lochmiller on AI Data Centers, Energy and GPU Economicsゲスト Chase Lochmiller · ホスト Harry StebbingsCrusoe’s CEO discusses the constraints on AI infrastructure, the economics of GPU capacity and his company’s approach to energy and managed inference.インフラとデプロイEnergyInference+2
1:30:54EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月3日ポッドキャストHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2ホスト Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.エージェントRoboticsMultimodal AI+3
1:11EN
All-In Podcast· 2026年10月3日ポッドキャストChamath Palihapitiya on Three AI Governance PracticesA short proposal for tracing AI activity, mapping policies to risk and keeping audit evidence.AI Regulation安全性とガバナンスエンタープライズ AI
1:20:35EN
Y Combinator· 2026年10月2日Beyond GPUs: Optical, Neuromorphic and Biological ComputingFrançois Chaubard, Ilker Oguz, Alok Vasudev, Sean Cole · Y CombinatorYC Paper Club explores alternative hardware and the algorithms that might use it.AI researchインフラとデプロイモデルと学習
1:22:29EN
All-In Podcast· 2026年10月2日ポッドキャスト · 4 人All-In: A White House AI Accord, Economic Data and Midterm Predictionsホスト Jason Calacanis, Chamath Palihapitiya, David Sacks, David FriedbergThe hosts discuss voluntary AI governance, cyber defense, economic pressures and differing election forecasts.AI SafetyAI RegulationCybersecurity+2
51:08EN
Hard Fork· 2026年10月2日ポッドキャスト · 4 人Personal AI Agents: Convenience, Oversight and New Frictionゲスト Mike Isaac, Erin Griffith, Eli Tan · ホスト Max ReadHard Fork discusses hands-on use, security and the limits of self-regulation.Personal agentsAI SafetyPrivacy & data governance
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