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슬라이드 5장20:46EN
Matthew Berman· 2026년 8월 26일Open-Weight AI Models: Token Share, Spending and Strategic TradeoffsMatthew Berman · Forward FutureMatthew Berman examines a Vercel AI Gateway snapshot and argues that model usage and spending can tell very different stories.Open-weight modelsAI cost & performanceAI Strategy+2
슬라이드0:48EN
Matthew Berman· 2026년 8월 25일Matthew Berman on Earning From Idle Mac Compute With DarkbloomMatthew Berman · Forward FutureA proposed network of Apple Silicon Macs could serve AI inference, but the earnings shown are projections that depend on hardware, availability and demand.Distributed training & inferenceInferenceLocal inference+1
0:55EN
Matthew Berman· 2026년 8월 25일AGI, Recursive Self-Improvement and SuperintelligenceMatthew Berman · Forward FutureMatthew Berman introduces three AI terms and explains his expectations about their possible progression.AGI(범용 인공지능)AGI TimelinesAI research
0:36EN
Matthew Berman· 2026년 8월 24일Using a Grok Bot for Online ErrandsMatthew Berman · Forward FutureMatthew Berman describes using a bot to handle routine website tasks, including an Amazon return.Personal agentsWorkflow automationComputer use
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
슬라이드21:58EN
Matthew Berman· 2026년 8월 20일How Matthew Berman Uses Grok Bot for Email, Meetings and Everyday TasksMatthew Berman · Forward FutureA tour of connected bots covers practical routines, reported coding workflows and features the host has not yet tried.에이전트Human-AI Collaboration코딩 에이전트+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
슬라이드 4장9:15EN
Matthew Berman· 2026년 8월 17일Six Open-Source Projects for Local AI, Agents, and 3D DesignMatthew Berman · Forward FutureMatthew Berman tours tools for running and training models, giving agents new skills, coordinating work, browsing, and generating 3D meshes.Open-source ecosystemsAgent skillsLocal inference+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 8장25:31EN
Theo - t3․gg· 2026년 8월 13일Grok 4.6: Better Agent Benchmarks, With Tradeoffs in Speed and CostTheo Browne · t3.ggTheo Browne tests Grok 4.6 on design, games and real code, weighing reported benchmark gains against his experience of slower and costlier tasks.코딩 에이전트평가(Evals)AI cost & performance+2
슬라이드1:07EN
Matthew Berman· 2026년 8월 11일Matthew Berman on Relay: Routing Coding Work Across ModelsMatthew Berman · Forward FutureA short demonstration of a free coding skill that assigns planning, implementation and review to different models. Its cost comparison is one example, not a guarantee of savings or equivalent quality.Agent orchestration코딩 에이전트AI cost & performance+2
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
슬라이드 6장18:17EN
Theo - t3․gg· 2026년 8월 8일MCP’s Stateless Redesign: What Changed and Why Theo Is OptimisticTheo Browne · Ping LabsThe July 2026 MCP specification replaces protocol sessions with self-describing requests. Theo examines the benefits, examples, and the problem of migrating older clients and servers.MCP코딩 에이전트인프라와 배포+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 4장13:58EN
Matthew Berman· 2026년 8월 7일Google’s AI Leadership Changes and the Innovator’s DilemmaMatthew Berman · Forward FutureMatthew Berman considers Google’s research history, two leadership changes and an open-model strategy in August 2026.AI StrategyLeadershipOpen-weight models+2
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
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