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4,450 件
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59:29EN
PragerU· 2026年10月28日David Blumberg on AI, Data Centers and Economic OpportunityMarissa Streit, David BlumbergA venture capitalist discusses technology and values with PragerU’s Marissa Streit.AI Strategy企業と戦略Education
2:50:35EN
PowerfulJRE· 2026年10月28日ポッドキャスト · 2 人Jimmy Carr and Joe Rogan on Comedy, Attention and Creative Practiceゲスト Jimmy Carr · ホスト Joe RoganA wide-ranging conversation about performance, technology and personal meaning.ComedyCreativityCommunication
スライド 5 枚14:09EN
AI Engineer· 2026年10月28日Taylor Luttrell-Williams on Finding Logic Vulnerabilities with SonarQube Hunter AgentTaylor Luttrell-Williams · SonarSonar’s Taylor Luttrell-Williams explains how a security agent maps a codebase, investigates logic flaws and presents validated findings alongside conventional scans.CybersecurityAI securityCode review & verification+2
56:23EN
Conversations with Tyler· 2026年10月28日ポッドキャスト · 2 人Roman Mars on the Design Hidden in Streets, Cities and Flagsゲスト Roman Mars · ホスト Tyler CowenThe 99% Invisible creator joins Tyler Cowen to examine everyday design through usability, beauty and the people a system serves.DesignStorytellingProduct Design
スライド 5 枚16:29EN
AI Engineer· 2026年10月28日Chris Vela on Benchmarking vLLM Configurations with Runpod BenchPodChris Vela · RunpodRunpod’s Chris Vela demonstrates a dashboard for comparing LLM serving configurations and choosing performance settings with workload-specific data.InferenceBenchmarksAI cost & performance+2
スライド 5 枚38:47EN
Theo - t3․gg· 2026年10月28日Theo’s Long-Running Agent Experiments: Verification, Compute and CostTheo Browne · Ping LabsA skateboard game and two compiler projects show how repeated checks and flexible compute can sustain agent work—and how expensive those loops can become.コーディングエージェントエージェント工学AI cost & performance+2
59:27EN
Unsupervised Learning: With Jacob Effron· 2026年10月28日ポッドキャスト · 3 人Modal’s Erik Bernhardsson on GPU Supply, Inference and Agentsゲスト Erik Bernhardsson · ホスト Patrick Chase, Jacob EffronA conversation about fragmented compute markets, developer infrastructure and the economics of AI workloads.インフラとデプロイInference
スライド 7 枚21:11EN
Matthew Berman· 2026年10月28日Matthew Berman tests DeepSeek V4.1 Flash: coding, vision and local appsMatthew Berman · Forward FutureA hands-on tour of visual coding, image reasoning, local applications and provider economics reveals both impressive results and visible flaws.コーディングエージェントMultimodal AILocal inference+2
44:21EN
PragerU· 2026年10月28日A Parent Alert on Halloween, Student Surveys and Education PolicyJill SimonianJill Simonian presents PragerU’s views on schools and parental participation.EducationPublic HealthPolitical Philosophy
スライド 6 枚18:52EN
AI Engineer· 2026年10月28日Manish Kapur and Addy Osmani on Verifying AI Software FactoriesManish Kapur, Addy Osmani · SonarSonar’s Manish Kapur and Anthropic’s Addy Osmani discuss code review, evidence and layered checks as coding agents increase the pace of software changes.ソフトウェアファクトリーCode review & verificationコーディングエージェント+2
1:00:17EN
a16z· 2026年10月28日ポッドキャスト · 3 人Mark Cuban on Healthcare Prices, AI and the Case for Transparencyゲスト Mark Cuban · ホスト Julie Yoo, Erik TorenbergThe Cost Plus Drugs co-founder discusses contracts, personalized medicine and entrepreneurship with Julie Yoo and Erik Torenberg.AI in healthcarePricingEntrepreneurship+1
スライド 5 枚18:35EN
AI Engineer· 2026年10月28日Kamil Potrec on Agent Authentication, Delegation and Gateway ControlsKamil Potrec · KeycardKeycard’s Kamil Potrec explains why agents need distinct identities, scoped credentials and auditable authorization, and where gateways can help.エージェント認証AI securityCybersecurity+2
1:36:30EN
Theo Von· 2026年10月28日ポッドキャスト · 2 人Sophie Cunningham on Basketball, Visibility and Life in the WNBAゲスト Sophie Cunningham · ホスト Theo VonThe player talks with Theo Von about competition, league growth, compensation and faith.Leadership
0:37EN
Matthew Berman· 2026年10月28日Google Announces Gemini 4 CarbonMatthew Berman · Forward FutureMatthew Berman briefly discusses the model announcement and phased access.モデルと学習
35:04EN
Chris Williamson· 2026年10月28日ポッドキャスト · 2 人Chris Williamson's UK Tour: Four Cities, Four Shows and Finding a Rhythmホスト Chris WilliamsonA behind-the-scenes tour diary follows the first week from Edinburgh to Manchester, including nerves, revisions and life on the bus.Personal GrowthMental HealthStorytelling
1:06:10EN
The Knowledge Project Podcast· 2026年10月27日ポッドキャスト · 2 人Steven Kotler on Flow, Focus and Learningゲスト Steven Kotler · ホスト Shane ParrishThe author discusses deep attention, the balance between challenge and skill, and how play and curiosity shape his work.Decision MakingCreativityLeadership+1
1:01:02EN
Citadel Securities· 2026年10月27日ポッドキャスト · 3 人Sequoia's Alfred Lin and Konstantine Buhler on AI, Investment and the Agent Economyゲスト Alfred Lin, Konstantine Buhler · ホスト Nohshad ShahAt Citadel Securities' 2026 conference, the partners discuss their investment process, model competition, computing constraints and future opportunities.Venture CapitalAI StrategyAI agents+2
13:26EN
Chris Williamson· 2026年10月27日ポッドキャスト · 2 人John Kiriakou on Espionage, Geopolitics, and Recruiting Intelligence Sourcesゲスト John Kiriakou · ホスト Chris WilliamsonThe former CIA officer shares his assessment of foreign influence, explains how sources are recruited, and recounts the Kim Philby case.Geopoliticsセキュリティと安全性History
スライド 7 枚18:56EN
AI Engineer· 2026年10月27日John Feminella: Five Controls for AI Agents, and the $900 Million Bank ErrorJohn Feminella · Two SigmaA payment mistake shows why good intentions and approval prompts are not enough. Feminella describes practical controls for giving agents useful autonomy.安全性とガバナンスエージェント工学金融 AI+2
スライド 5 枚18:12EN
AI Engineer· 2026年10月27日Tim Tyler: An Accountability Framework for AI Agents as a Digital WorkforceTim Tyler · GraviteeThe Gravitee speaker applies identity, sponsorship, authority and oversight to agents, drawing on how organizations manage human work.安全性とガバナンスエージェント工学エージェント認証+1
スライド 4 枚14:38EN
AI Engineer· 2026年10月27日Mikyo King on Code Mode, Sandboxes and Agent EvaluationMikyo King · Arize AIArize AI’s Mikyo King explains how agents can compose tools in code, what sandboxing adds, and how his team evaluates the approach.エージェント工学MCP とツールSandboxes & isolation+2
スライド 11 枚29:44EN
硅谷101· 2026年10月27日Harry Wang: AI, Two-Dimensional Semiconductors, and the Future of Chip ManufacturingA semiconductor researcher explains materials, yield, AI-controlled experiments, and a proposed feedback loop between models and chips.SemiconductorsAI for science
スライド 6 枚23:22EN
AI Engineer· 2026年10月27日Noyan Tokgozoglu: How Optiver Builds an AI Platform for Fast, Measurable DecisionsNoyan Tokgozoglu · OptiverThe trading firm’s AI engineering lead explains same-day model adoption, on-premises infrastructure, cost controls and the limits of replaying agent evaluations.AI platform engineering評価(Evals)AI cost & performance+2
スライド 5 枚20:06EN
AI Engineer· 2026年10月27日How Arize Rebuilt Its Alyx Agent: Planning, Memory and EvaluationFuad Ali · Arize AIFuad Ali traces two years of decisions behind an in-product agent, from harness-controlled plans to compact memory and production-derived tests.エージェント工学Agent memory評価とオブザーバビリティ+1
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