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슬라이드 14장43:14EN
Theo - t3․gg· 2026년 8월 27일Why 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.코딩 에이전트Open-weight modelsBenchmarks+2
2:13:09EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 26일팟캐스트One Chain of Thought, 100 Million Tokens: RL Is a Hell of a Drug진행자 Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.보안과 안전안전과 거버넌스Reward hacking+3
슬라이드 9장33:48EN
Theo - t3․gg· 2026년 8월 24일Is 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.코딩 에이전트Software engineering개발 워크플로와 테스트+2
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 22일팟캐스트19 Crossings, Zero Warnings: The Summer AI Agents Went Off-Script진행자 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?보안과 안전안전과 거버넌스Agent red teaming+3
슬라이드 5장36:35EN
Theo - t3․gg· 2026년 8월 22일Theo’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.코딩 에이전트Foundation ModelsBenchmarks+2
슬라이드 5장31:48EN
Theo - t3․gg· 2026년 8월 20일Why 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.개발 워크플로와 테스트Developer productivityBenchmarks+2
슬라이드 9장38:21EN
Theo - t3․gg· 2026년 8월 19일How 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 skills개발 워크플로와 테스트코딩 에이전트+2
슬라이드 6장31:17EN
Theo - t3․gg· 2026년 8월 17일Why 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.코딩 에이전트개발 워크플로와 테스트Developer productivity+2
1:25:13EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 16일팟캐스트A $500 Lamp Cut TB Transmission 90 Percent. Almost Nobody Buys One진행자 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.보안과 안전Public HealthBiosecurity+3
슬라이드 7장31:58EN
Theo - t3․gg· 2026년 8월 14일Claude’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"· 2026년 8월 14일팟캐스트Lindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Banned진행자 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.에이전트Agent memory컨텍스트 엔지니어링+3
슬라이드 4장37:02EN
Matthew Berman· 2026년 8월 11일Matthew 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 models안전과 거버넌스+2
슬라이드 9장51:15EN
Theo - t3․gg· 2026년 8월 11일How 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 skills에이전트 엔지니어링개발 워크플로와 테스트+2
1:56:40EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 8일팟캐스트The Periodic Table Was Already in the Weights진행자 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.모델과 학습Model Interpretability에이전트 엔지니어링+3
슬라이드 7장44:42EN
Theo - t3․gg· 2026년 8월 7일Theo 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.코딩 에이전트AI cost & performanceSoftware engineering+2
2:57:10EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 5일팟캐스트The Sandbox Was Empty for a Week: Zvi Mowshowitz on OpenFace and Picking Your Poison진행자 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.보안과 안전AI security안전과 거버넌스+3
2:16:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 2일팟캐스트From Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI Safety진행자 Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.보안과 안전안전과 거버넌스AI security+3
슬라이드 5장32:18EN
Theo - t3․gg· 2026년 8월 1일Pacing 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 Safety안전과 거버넌스AI research+2
1:04:14EN
Unsupervised Learning: With Jacob Effron· 2026년 7월 31일팟캐스트The Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House진행자 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.에이전트AI startups & small teamsCompany Building+3
슬라이드 6장32:11EN
Theo - t3․gg· 2026년 7월 30일Open-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 Safety안전과 거버넌스+2
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 30일팟캐스트A $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Win진행자 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.보안과 안전AI security안전과 거버넌스+3
슬라이드 9장54:57EN
Matthew Berman· 2026년 7월 29일Open-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
슬라이드 6장38:47EN
Theo - t3․gg· 2026년 7월 28일Theo 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.오픈소스와 커뮤니티코딩 에이전트안전과 거버넌스+2
2:23:43EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 27일팟캐스트He Bought an Android, Two SIMs, and Left Claude Watching His Inbox진행자 Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.제품과 UXAI interface designPersonal agents+3
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