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3,765 件
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41:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年5月28日ポッドキャスト · 2 人After Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big Onesホスト Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.セキュリティと安全性AI securityエージェント工学+3
スライド 6 枚2:34:17EN
Matthew Berman· 2026年5月28日Matthew Berman Tests Claude Opus 4.8 and Dynamic Workflows LiveMatthew Berman · Forward FutureA launch-day walkthrough compares Anthropic’s reported benchmarks with informal coding experiments and a multi-agent website redesign.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 6 枚47:33EN
Theo - t3․gg· 2026年5月27日How Theo’s AI Coding Workflow ChangedTheoA walkthrough of remote agents, project context, short prompts, verification and pull-request decisions.開発ワークフローとテストコーディングエージェントコンテキストエンジニアリング+2
2:18:33ZH
Zhang Xiaojun Podcast· 2026年5月27日ポッドキャスト · 2 人戴雨森:复盘 AI 投资判断,重新理解 Harness 与创业机会ゲスト 戴雨森 · ホスト 张小珺真格基金管理合伙人与张小珺讨论模型、智能体产品、组织变化和主动修正观点。AI startups & small teamsエージェント工学コーディングエージェント+2
スライド 5 枚17:03EN
Matthew Berman· 2026年5月27日DeepSWE: Testing Coding Agents on Longer Software TasksMatthew Berman · Forward FutureMatthew Berman reviews Datacurve’s benchmark, its verifier audit and the tradeoffs of comparing models under a shared harness.Benchmarksコーディングエージェント評価(Evals)+2
1:41:58EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月26日ポッドキャストA thousand people on guard, a million in the sprintホスト Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.セキュリティと安全性安全性とガバナンスAI Strategy+3
45:33EN
Sequoia Capital· 2026年5月26日ポッドキャストCursor Ships 1TB of Composer Weights Across Oceans in Under a MinuteFederico Cassano and Fireworks' Dima walk through the globally split RL stack that trained Composer 2 on a sparse trillion-parameter MoE.インフラとデプロイDistributed training & inferenceReinforcement Learning+3
37:56EN
Theo - t3․gg· 2026年5月26日Claude Code, Codex, and Cursor: Three Approaches to AI CodingTheo Browne · T3Theo compares terminal-first coding agents, local verification, cloud execution, and the trade-offs behind their interfaces.コーディングエージェント開発ワークフローとテストComputer use+2
スライド 8 枚31:22EN
Matthew Berman· 2026年5月26日Cursor Composer 2.5 and the Economics of Coding ModelsMatthew Berman, Sundar Pichai · Forward FutureMatthew Berman examines coding benchmarks, model costs and enterprise budgets, then considers Cursor’s partnership with SpaceX and Anthropic’s demand for compute.コーディングエージェントAI cost & performanceBenchmarks+2
1:07:45EN
20VC with Harry Stebbings· 2026年5月26日ポッドキャスト · 2 人Andrew Feldman on AI Chips, Data Centers and Compute Demandゲスト Andrew Feldman · ホスト Harry StebbingsCerebras’s CEO discusses memory supply, inference speed, community impacts and US chip policy.SemiconductorsInferenceインフラとデプロイ+2
スライド 7 枚37:30EN
Theo - t3․gg· 2026年5月24日Cursor Composer 2.5: Speed, Coding Benchmarks, and the Limits of EvaluationTheo Browne · T3Theo examines Cursor’s coding model, its training methods, practical performance, and the difficulty of independent testing.コーディングエージェントモデルと学習AI cost & performance+2
2:13:11EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月24日ポッドキャストThe Models Understand Shutdown. They Just Don't Care.ホスト Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.セキュリティと安全性安全性とガバナンスAI security+3
1:23:34EN
20VC with Harry Stebbings· 2026年5月23日ポッドキャスト · 3 人20VC on Enterprise Sales Hiring, Compensation and AIゲスト Chad Peets, Chris Degnan · ホスト Harry StebbingsChad Peets and Chris Degnan discuss building sales teams, forecasting revenue and competing for talent while AI changes enterprise markets.SalesHiringGo-to-Market+2
59:41EN
Unsupervised Learning: With Jacob Effron· 2026年5月22日ポッドキャストThe GPT moment for video hasn’t arrived, but AGI may already be hereホスト Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.モデルと学習World modelsReinforcement Learning+3
1:27:17EN
20VC with Harry Stebbings· 2026年5月21日ポッドキャスト · 3 人AI Funding, IPO Expectations and the Politics of Layoffs: Jason Lemkin and Rory O’Driscollゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsA 20VC roundtable examines reported Anthropic financing, AI spending, software valuations, chip infrastructure and speculative IPOs, then considers the politics of job losses.Venture CapitalAI cost & performanceエンタープライズ AI+2
29:36EN
Jane Street· 2026年5月21日Jane Street on GPU Infrastructure, Trading and HiringDwarkesh Patel, Yaron Minsky, Daniel Pontecorvo · Dwarkesh PatelDwarkesh Patel speaks with Ron Minsky and Dan Pontecorvo about trading at different speeds, building data centers and expanding compute and teams.GPU programming & kernelsインフラとデプロイMachine Learning+2
30:34EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年5月21日ポッドキャスト · 2 人Cerebras Waited Ten Years for a Market That Finally Needed Speedホスト Sarah Guo, Elad GilFounder and CEO Andrew Feldman walks No Priors through wafer-scale chips, a $20 billion OpenAI deal, and why a dinner-plate processor only mattered once AI became an everyday tool.インフラとデプロイCompany BuildingLeadership+3
スライド 4 枚27:16EN
Theo - t3․gg· 2026年5月21日GitHub’s Internal Repository Breach and the Nx Console Supply-Chain AttackTheo Browne · T3Theo examines a poisoned editor extension, stolen publishing credentials, and the difficult trade-offs around automatic updates.セキュリティと安全性Cybersecurity開発ワークフローとテスト+2
スライド18:39EN
Matthew Berman· 2026年5月21日Matthew Berman on Andrej Karpathy Joining Anthropic and AI PessimismMatthew Berman, Eric Schmidt · Forward FutureKarpathy’s move to Anthropic prompts a reflection on research talent, public anxiety and how the AI industry talks about the future. Berman separates his own optimism from the harder question of what motivates someone else’s career choice.AnthropicAI StrategyFuture of Work+2
1:01:14EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月20日ポッドキャストThe Model Eats the Scaffolding: How Google Plans to Ship Agents Everywhereホスト Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.企業と戦略エージェント工学Distillation+3
30:19EN
Matthew Berman· 2026年5月20日Sundar Pichai on AI Agents, Open Models and Google’s Compute ConstraintsMatthew Berman, Sundar Pichai · Forward FutureAt Google I/O 2026, Pichai discusses trust in agents, cyber model releases, open ecosystems, efficient models and the infrastructure needed to serve them.AI agentsAI StrategyCybersecurity+2
スライド 3 枚23:36EN
Theo - t3․gg· 2026年5月20日Gemini 3.5 Flash, Antigravity CLI, and Railway’s Cloud OutageTheo Browne · T3Theo questions a model launch, a developer-tool transition, and a cloud outage while examining the costs and dependencies behind each.コーディングエージェントGeminiAI cost & performance+2
38:24EN
Sequoia Capital· 2026年5月19日ポッドキャストServal's Bet: Keep ServiceNow's Primitives, Take Humans Out of the BuildJake Stauch tells Sequoia's Pat Grady how a two-year-old ITSM startup uses codegen agents, boring enterprise controls, and "fewer, better" hiring to rebuild employee support for the AI era.企業と戦略エンタープライズ AIWorkflow automation+3
スライド 4 枚39:05EN
Theo - t3․gg· 2026年5月19日Why GitHub Copilot Changed Its Billing for Agent WorkflowsTheo Browne · T3Theo explains why one agent request can consume vastly different resources, and what that means for subscription pricing.コーディングエージェントAI cost & performancePricing Strategy+2
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