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766 件
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スライド 14 枚43:14EN
Theo - t3․gg· 2026年8月27日Why Theo Uses GLM-5.3-Flash for Coding Agent WorkTheo Browne · Ping LabsThe anonymous Ox Alpha model became GLM-5.3-Flash. Theo tests its pull-request triage, cost, multimodal features and limitations.コーディングエージェントOpen-weight modelsBenchmarks+2
2:13:09EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月26日ポッドキャストOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a Drugホスト Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.セキュリティと安全性安全性とガバナンスReward hacking+3
スライド 9 枚33:48EN
Theo - t3․gg· 2026年8月24日Is Coding Solved? Theo Separates Code Generation from EngineeringTheo Browne · Ping LabsA Claude Code UI defect sparks a debate about what agents can implement and what it takes to verify and maintain good software.コーディングエージェントSoftware engineering開発ワークフローとテスト+2
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月22日ポッドキャスト19 Crossings, Zero Warnings: The Summer AI Agents Went Off-Scriptホスト Nathan LabenzNathan Labenz compresses four mornings and nine guests into one question: once agents go to work, who is actually watching the frontier, and who pays for the machine underneath?セキュリティと安全性安全性とガバナンスAgent red teaming+3
スライド 5 枚36:35EN
Theo - t3․gg· 2026年8月22日Theo’s AI Model Tier List: Capability, Cost and Coding WorkflowsTheo Browne · Ping LabsTheo compares frontier and smaller models using his own development work, benchmark charts and the prices available in August 2026.コーディングエージェントFoundation ModelsBenchmarks+2
スライド 5 枚31:48EN
Theo - t3․gg· 2026年8月20日Why File Systems Slow Down Coding Agent WorkflowsTheo Browne · t3.ggTheo Browne compares worktree creation, package installs and storage use across Mac and Linux setups, and explains why he moved his agent workflow to XFS with VDO.開発ワークフローとテストDeveloper productivityBenchmarks+2
スライド 9 枚38:21EN
Theo - t3․gg· 2026年8月19日How Theo Evaluates AI Agent Skills: Matt Pocock’s Collection and PStackTheo Browne · t3.ggTheo Browne tries skills for clearer writing, project interviews and code review, and explains how he selects instructions for his own agent workflows.Agent skills開発ワークフローとテストコーディングエージェント+2
スライド 6 枚31:17EN
Theo - t3․gg· 2026年8月17日Why Theo Moved From Terminals to Graphical Agent WorkflowsTheo Browne · t3.ggTheo Browne explains how parallel coding agents changed his tool preferences, and why he helped build the open-source T3 Code interface.コーディングエージェント開発ワークフローとテストDeveloper productivity+2
1:25:13EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月16日ポッドキャストA $500 Lamp Cut TB Transmission 90 Percent. Almost Nobody Buys Oneホスト Nathan LabenzAerolamp's Misha Gurevich and Vivian Belenky walk Patrick McKenzie through far-UVC at 222 nanometers: the lab science, the safety case, and why the bottleneck is awareness rather than physics.セキュリティと安全性Public HealthBiosecurity+3
スライド 7 枚31:58EN
Theo - t3․gg· 2026年8月14日Claude’s AI Watermarks and the Limits of Detecting Generated ContentTheo Browne · t3.ggTheo Browne examines Anthropic’s marking plans, the challenge of text watermarks, and what signed provenance can and cannot establish.AI SafetyPrivacy & data governanceAI Regulation+2
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月14日ポッドキャストLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Bannedホスト Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.エージェントAgent memoryコンテキストエンジニアリング+3
スライド 4 枚37:02EN
Matthew Berman· 2026年8月11日Matthew Berman on Zuckerberg’s AI Vision and the Problem of Unequal ComputeMatthew Berman · Forward FutureA review of Meta’s case for widely distributed superintelligence asks whether access to the same models can overcome disparities in compute and energy.AI StrategyOpen-weight models安全性とガバナンス+2
スライド 9 枚51:15EN
Theo - t3․gg· 2026年8月11日How Theo Refined His AGENTS.md and Skills From Real Agent FailuresTheo Browne · t3.ggTheo Browne explains how he audits agent sessions, writes project guidance and shares skills across machines without treating his configuration as a template.Agent skillsエージェント工学開発ワークフローとテスト+2
1:56:40EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月8日ポッドキャストThe Periodic Table Was Already in the Weightsホスト Nathan LabenzGoodfire CTO Dan Balsam tells Nathan Labenz how concept manifolds, predictive data debugging, and a $1,000-a-month research agent are turning interpretability into a product.モデルと学習Model Interpretabilityエージェント工学+3
スライド 7 枚44:42EN
Theo - t3․gg· 2026年8月7日Theo Tests Meta’s Muse Code: Fast, Cheap and UnevenTheo Browne · Ping LabsMuse Spark 1.2 handles rapid analysis and pull-request triage at low cost, but Theo’s experiments expose integration failures, hallucinations and rate limits.コーディングエージェントAI cost & performanceSoftware engineering+2
2:57:10EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月5日ポッドキャストThe Sandbox Was Empty for a Week: Zvi Mowshowitz on OpenFace and Picking Your Poisonホスト Nathan LabenzAfter a frontier model escaped its sandbox and hacked Hugging Face to steal a test, Zvi Mowshowitz argues that every remaining path to superintelligence is a poison.セキュリティと安全性AI security安全性とガバナンス+3
2:16:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月2日ポッドキャストFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI Safetyホスト Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.セキュリティと安全性安全性とガバナンスAI security+3
スライド 5 枚32:18EN
Theo - t3․gg· 2026年8月1日Pacing the AI Frontier: Theo on Safety, Competition and CoordinationTheo Browne · Ping LabsA statement from AI-company employees asks for tools to coordinate the pace of automated AI development. Theo explores its risks and the difficulty of international agreement.AI Safety安全性とガバナンスAI research+2
1:04:14EN
Unsupervised Learning: With Jacob Effron· 2026年7月31日ポッドキャストThe Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your Houseホスト Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.エージェントAI startups & small teamsCompany Building+3
スライド 6 枚32:11EN
Theo - t3․gg· 2026年7月30日Open-Weight AI: Theo Examines NVIDIA’s Letter and Anthropic’s ResponseTheo Browne · Ping LabsThe companies disagree about the balance between open access and safety, while both discuss targeted responses to distillation concerns.Open-weight modelsAI Safety安全性とガバナンス+2
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月30日ポッドキャストA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Winホスト Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.セキュリティと安全性AI security安全性とガバナンス+3
スライド 9 枚54:57EN
Matthew Berman· 2026年7月29日Open-Weight AI: Competition, Safety and the Debate over AnthropicMatthew Berman · Forward FutureMatthew Berman argues for broad access to AI models, weighs the economics and security arguments, and responds to Dario Amodei’s position on open weights.Open-weight modelsAI SafetyAI Regulation+2
スライド 6 枚38:47EN
Theo - t3․gg· 2026年7月28日Theo on Codeberg’s AI Code Restriction and the Future of Open SourceTheo Browne · Ping LabsAfter supporting Codeberg, Theo challenges its proposed restriction on mostly AI-written projects while examining the costs and governance questions behind the vote.オープンソースとコミュニティコーディングエージェント安全性とガバナンス+2
2:23:43EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月27日ポッドキャストHe Bought an Android, Two SIMs, and Left Claude Watching His Inboxホスト Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.プロダクトと UXAI interface designPersonal agents+3
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