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0:24EN
Matthew Berman· 2026년 3월 2일A Surprise in AI Token Usage and CostsMatthew Berman · Forward FutureMatthew Berman reacts to a rising usage bill and notes why monitoring token consumption matters.AI cost & performanceInference
슬라이드 4장10:17EN
Matthew Berman· 2026년 2월 19일Anthropic Subscription Credentials and OpenClaw: A 2026 Policy DisputeMatthew Berman · Forward FutureMatthew Berman explains why restrictions on Claude subscription OAuth credentials prompted him to change his OpenClaw model setup.AnthropicPersonal agentsAI cost & performance+1
0:58EN
Matthew Berman· 2026년 2월 13일Why Inference Speed Matters for AI AgentsMatthew Berman · Forward FutureMatthew Berman argues that faster model output can make agent workflows more useful, pointing to new Claude and Codex releases in February 2026.InferenceAI cost & performanceAI agents
1:57:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 5일팟캐스트A Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipeline진행자 Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.코딩 에이전트Agent orchestration컨텍스트 엔지니어링+3
슬라이드 5장22:31EN
Matthew Berman· 2026년 2월 5일Matthew Berman’s OpenClaw Setup: Models, Workflows, and SecurityMatthew Berman · Forward FutureA walkthrough of a personal AI assistant’s configuration, scheduling, integrations and practical automations, with attention to the risks of granting it access.에이전트에이전트 엔지니어링보안과 안전+1
1:18:04EN
20VC with Harry Stebbings· 2026년 1월 29일팟캐스트 · 3명Brex, AI Inference Costs and the IPO Market: A 20VC Roundtable게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported deals, AI economics and public-market exits. Their valuations, financial figures and predictions are estimates or reported claims, not independently verified results.Venture CapitalAI cost & performanceInvesting+2
슬라이드 2장0:24EN
Matthew Berman· 2026년 1월 26일Matthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.AI cost & performancePersonal agentsInference
슬라이드 5장17:44EN
Matthew Berman· 2026년 1월 17일Recursive Language Models: Extending Long-Input Work Beyond a Context WindowMatthew Berman · Forward FutureMatthew Berman examines an MIT research approach that lets language models inspect external text and make sub-calls, along with its benchmark and cost tradeoffs.컨텍스트 엔지니어링Inference평가(Evals)+2
슬라이드 3장12:13EN
Matthew Berman· 2026년 1월 15일OpenAI’s Cerebras Deal and the Race for Faster AI InferenceMatthew Berman, Andrew Feldman, Greg Brockman · Forward FutureMatthew Berman explains why inference speed and computing capacity matter, while a closer look at the agreement and benchmark puts his 100-times-faster scenario in context.InferenceSemiconductorsOpenAI+2
37:00EN
Sequoia Capital· 2026년 1월 14일팟캐스트The AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.인프라와 배포Reinforcement LearningAI startups & small teams+3
1:58EN
Matthew Berman· 2026년 1월 9일Memory Shortages and Gaming GPU Prices: Nvidia’s Options in 2026Matthew Berman · Forward FutureMatthew Berman discusses rising memory costs and a possible revival of older graphics cards, while separating predictions from Nvidia’s actual commitments.Semiconductors인프라와 배포AI cost & performance
1:16:21EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 1월 8일팟캐스트 · 2명Jensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing Jobs진행자 Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO uses radiology, open source, and a $2 trillion R&D budget to argue that 2025’s extremes missed the stack.기업과 전략Reasoning & test-time computeAI cost & performance+3
슬라이드 2장1:38EN
Matthew Berman· 2025년 12월 29일NVIDIA’s Groq Licensing Deal and the Inference MarketMatthew Berman · Forward FutureMatthew Berman discusses why NVIDIA licensed Groq’s inference technology and hired members of its team.SemiconductorsInferenceAI cost & performance+1
슬라이드1:55:39EN
Matthew Berman· 2025년 12월 20일AI Infrastructure, Gemini and Prediction Markets: Forward Future LiveMatthew Berman, Nick Wentz, Doug O’Laughlin, Koray Kavukcuoglu, Logan Kilpatrick, Abhishek Fatehpuria · Forward FutureSemiAnalysis, Google DeepMind and Robinhood guests join Matthew Berman and Nick Wentz to discuss model speed, chip supply, research, safety and financial products.인프라와 배포AI cost & performanceAI research+2
슬라이드 4장9:55EN
Matthew Berman· 2025년 12월 18일Gemini 3 Flash: Speed, Coding Tests and the Cost of a Smaller ModelMatthew Berman · Forward FutureMatthew Berman examines visual coding demos and launch-era benchmarks, arguing that Google’s faster model could be useful for automation and everyday AI tasks.Benchmarks모델과 학습AI cost & performance+1
38:21EN
Sequoia Capital· 2025년 12월 16일팟캐스트How a Weekend Webcam Came to See 90 Billion Miles a YearSamsara CEO Sanjit Biswas on edge inference, messy road data, and why physical AI only counts once it is installed.기업과 전략Company Building인프라와 배포+3
2:06:09EN
Cognitive Revolution "How AI Changes Everything"· 2025년 12월 14일팟캐스트One ChatGPT query is a second in the microwave진행자 Nathan LabenzAndy Masley walks Nathan Labenz through the energy and water math of AI, from a single prompt to an 80-gigawatt buildout.인프라와 배포AI cost & performanceScience Communication+1
슬라이드 4장1:58EN
Matthew Berman· 2025년 12월 12일GPT-5.2 at Launch: Benchmark Results, Demos and API PricingMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s December 2025 announcement, highlighting selected evaluations, product demos and the cost increase over GPT-5.1.OpenAIBenchmarksAI cost & performance+2
1:02:19EN
Sequoia Capital· 2025년 12월 10일팟캐스트A Top Video Model's Half-Life Is 30 Days. fal Runs 600 AnywayThe fal founders tell Sequoia why generative video is a compute-bound problem that language-model shops keep underestimating, and why they will not let any customer marry a single model.인프라와 배포Generative media비전과 영상+3
57:37EN
Unsupervised Learning: With Jacob Effron· 2025년 12월 10일팟캐스트The hot-swap era for models is over, OpenAI's enterprise product chief says진행자 Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.기업과 전략엔터프라이즈 AIProduct Strategy+3
1:32:38EN
Cognitive Revolution "How AI Changes Everything"· 2025년 12월 6일팟캐스트Polish Is 1% of Frontier Training Data, So Poland Built Its Own Model진행자 Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.기업과 전략Open-weight modelsData quality & curation+3
슬라이드 5장22:48EN
Matthew Berman· 2025년 11월 25일Matthew Berman on Gemini 3 and the AI Competitive LandscapeMatthew Berman · Forward FutureA November 2025 strategy scorecard weighs models, infrastructure, chips, distribution and data across major AI companies.AI StrategyFoundation Models인프라와 배포+2
슬라이드 4장10:27EN
Matthew Berman· 2025년 11월 24일Claude Opus 4.5: Launch Benchmarks, Pricing and Tool UseMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s November 2025 release, its coding benchmarks and developer tools, while comparing it with contemporary models.Benchmarks코딩 에이전트MCP와 도구+1
슬라이드 8장12:47EN
Matthew Berman· 2025년 11월 20일Gemini 3 Pro's Launch: Industry Reactions, Benchmarks and Google AntigravityMatthew Berman · Forward FutureMatthew Berman reviews early reactions to Gemini 3, from benchmark gains and coding demos to the economics of Google's AI stack.GeminiBenchmarksAI cost & performance+2
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