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슬라이드 8장40:14EN
Theo - t3․gg· 2026년 9월 23일Opus 5.5: Theo’s First Day with a New Coding ModelTheo Browne · T3Theo compares price, benchmarks, coding work and game demos while cautioning that his assessment rests on a single day of use.코딩 에이전트AI cost & performance평가(Evals)+2
슬라이드 4장31:59EN
Matthew Berman· 2026년 9월 23일Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
슬라이드 5장7:26EN
Matthew Berman· 2026년 9월 23일GPT-6 Sol and Luna: Price and Benchmark Trade-offsMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s September 2026 launch, comparing API prices and reported agent benchmarks with larger models.OpenAIAI cost & performanceBenchmarks+2
슬라이드 7장27:53EN
Theo - t3․gg· 2026년 9월 22일Grok 4.7: Strong Codebase Investigation, Uneven ValueTheo Browne · T3Theo compares launch claims, token costs, benchmarks and his own codebase and game tests, finding useful review behavior alongside significant tradeoffs.코딩 에이전트AI cost & performance평가(Evals)+2
슬라이드 38장1:01:33EN
DeepLearningAI· 2026년 9월 22일Spec-Driven Development with Coding Agents: Write the Spec, Let the Agent BuildAndrew Ng, Paul Everitt · DeepLearning.AIJetBrains developer advocate Paul Everitt walks through a full spec-driven workflow: a project constitution, feature loops of plan–implement–validate, and agent skills that travel across tools. The alternative to vibe coding is a markdown contract the agent cannot forget.코딩 에이전트Agent skills개발 워크플로와 테스트+2
0:52EN
Matthew Berman· 2026년 9월 22일Matthew Berman’s Three Sleep Habits and Eight Sleep PodMatthew Berman · Forward FutureBerman describes keeping the bed cool, waking consistently and tracking sleep, while promoting a temperature-adjusting mattress system.Personal GrowthProductivity
슬라이드 5장16:57EN
Matthew Berman· 2026년 9월 22일Grok 4.7 Compared: Coding, Knowledge Work and Cost per TaskMatthew Berman · Forward FutureMatthew Berman examines reported benchmarks and prices while noting missing competitors and limited hands-on testing.BenchmarksAI cost & performance코딩 에이전트+1
슬라이드 8장1:59:37EN
Matthew Berman· 2026년 9월 22일Opus 5.5 and GPT-6 Sol and Luna: A Launch-Day LivestreamMatthew Berman, Thariq Shihipar, Alex, Brian · Forward FutureMatthew Berman interviews Anthropic’s Thariq Shihipar, shows early demos and then reviews two OpenAI models announced during the stream.코딩 에이전트AI cost & performance평가(Evals)+2
슬라이드 10장41:32EN
Theo - t3․gg· 2026년 9월 22일Using Fable 5.1 for Longer Coding TasksTheo Browne · T3Theo Browne shares how he prompts coding agents, sets end states and uses reviews and tests to support longer-running work.코딩 에이전트Prompt optimization개발 워크플로와 테스트+2
슬라이드0:23EN
Theo - t3․gg· 2026년 9월 21일Why AI Safety Evaluators Need More Than a Black BoxTheo Browne · T3Theo Browne explains a proposal to give outside evaluators employee-like access inside AI companies.AI Safety안전과 거버넌스평가(Evals)
슬라이드 2장0:37EN
Matthew Berman· 2026년 9월 21일A Fruit-Fly Connectome, Online Simulations and Questions About ExperienceMatthew Berman · Forward FutureMatthew Berman shows playful simulated-fly demonstrations and asks whether a future complete simulation could suffer. A neural wiring map and those demonstrations do not establish a conscious digital animal.Neuroscience & AIConsciousnessSimulation Hypothesis
1:19:04EN
20VC with Harry Stebbings· 2026년 9월 21일팟캐스트 · 2명Daniel Dines on AI Agents, Enterprise Work and the Limits of Automation게스트 Daniel Dines · 진행자 Harry StebbingsThe UiPath co-founder argues that companies need a map of work and reliable automation alongside AI, while Harry Stebbings challenges his assumptions about how fast jobs will change.엔터프라이즈 AIWorkflow automationAI agents+2
슬라이드 10장30:29EN
Theo - t3․gg· 2026년 9월 21일Jev: A Fast Classifier for Structured DecisionsTheo Browne · T3Theo Browne explores Typesafe AI’s Jev through classification, game and developer-workflow demos, and explains where he thinks a reasoning model is still needed.Structured outputsModel routing & gateways코딩 에이전트+2
슬라이드 2장0:51EN
Matthew Berman· 2026년 9월 21일Jev Demos: Fast AI for Search, Classification and BrowsingMatthew Berman · Forward FutureMatthew Berman highlights a collection of community-built demonstrations using Jev.AI agents제품과 UXWorkflow automation
0:24EN
Theo - t3․gg· 2026년 9월 19일Why Theo Worries About AI Harm Before ShutdownTheo Browne · T3Theo Browne argues that harmful effects could persist even after a system is switched off.AI Safety보안과 안전
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 19일팟캐스트The Labs Are Screaming: Internal Models Are a Generation Ahead진행자 Nathan LabenzA week of Cognitive Revolution live shows on Dario Amodei's call to pace the frontier, a Trump–Xi deal that may not be needed, an AI store manager that fired a worker, and a new pain axis inside language models.보안과 안전안전과 거버넌스평가(Evals)+3
1:19:54EN
20VC with Harry Stebbings· 2026년 9월 19일팟캐스트 · 2명Thomas Sohmers on AI Inference, Memory and Data-Center Growth게스트 Thomas Sohmers · 진행자 Harry StebbingsPositron’s co-founder discusses the engineering economics of inference, his views on AI infrastructure and regulation, and the risks he sees in financing and concentration.InferenceSemiconductorsAI cost & performance+2
슬라이드 2장0:22EN
Matthew Berman· 2026년 9월 18일A Needle-in-a-Haystack Game, One Piece at a TimeMatthew Berman · Forward FutureMatthew Berman shows a game he says hides one needle among five million pieces of hay and jokes about searching it on a 48-hour livestream.Vibe CodingGenerative mediaCreativity
슬라이드 4장27:09EN
Theo - t3․gg· 2026년 9월 18일Why Theo Values Reliable Coding Agents Over Peak PerformanceTheo Browne · T3Theo Browne argues that a model’s weakest moments matter when a coding task stretches from investigation through testing and review.코딩 에이전트Developer productivityAI cost & performance+2
1:05EN
Matthew Berman· 2026년 9월 18일NVIDIA PAIR Routes Local AI Requests Across ComputersMatthew Berman · Forward FutureMatthew Berman demonstrates NVIDIA's local-network router for distributing AI inference work among compatible machines.Local inference인프라와 배포AI agents
슬라이드 29장51:55EN
3Blue1Brown· 2026년 9월 18일The last IMO problem AI could not solveGrant Sanderson · 3Blue1BrownGrant Sanderson walks through IMO 2025 Problem 6 — a tiling puzzle that frontier models missed — and the visual patience it takes to prove a construction is optimal.MathematicsAI researchReasoning & test-time compute+2
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 18일팟캐스트 · 2명Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Silicon진행자 Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.모델과 학습InferenceAI cost & performance+3
슬라이드 2장0:22EN
Theo - t3․gg· 2026년 9월 18일AI Leaders Express Support for Slowing the FrontierTheo Browne · T3Theo Browne discusses public responses to Dario Amodei’s proposal for independent AI evaluators.AI Safety안전과 거버넌스
슬라이드 5장12:31EN
Matthew Berman· 2026년 9월 18일Jev's Fast Decisions: Demos, Tradeoffs and Reliability ClaimsMatthew Berman · Forward FutureMatthew Berman explores a decision-oriented AI model through routing, simulated worlds, chess and game-control examples.AI agentsAI cost & performance평가와 관측 가능성+1
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