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327 件
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0:24EN
Matthew Berman· 2026年3月2日A 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
スライド 4 枚10:17EN
Matthew Berman· 2026年2月19日Anthropic 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· 2026年2月13日Why 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"· 2026年2月5日ポッドキャストA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipelineホスト 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.コーディングエージェントAgent orchestrationコンテキストエンジニアリング+3
スライド 5 枚22:31EN
Matthew Berman· 2026年2月5日Matthew 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.エージェントエージェント工学セキュリティと安全性+1
1:18:04EN
20VC with Harry Stebbings· 2026年1月29日ポッドキャスト · 3 人Brex, AI Inference Costs and the IPO Market: A 20VC Roundtableゲスト Jason Lemkin, Rory O’Driscoll · ホスト 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
スライド 2 枚0:24EN
Matthew Berman· 2026年1月26日Matthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.AI cost & performancePersonal agentsInference
スライド 5 枚17:44EN
Matthew Berman· 2026年1月17日Recursive 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.コンテキストエンジニアリングInference評価(Evals)+2
スライド 3 枚12:13EN
Matthew Berman· 2026年1月15日OpenAI’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· 2026年1月14日ポッドキャストThe 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.インフラとデプロイReinforcement LearningAI startups & small teams+3
1:58EN
Matthew Berman· 2026年1月9日Memory 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.SemiconductorsインフラとデプロイAI cost & performance
1:16:21EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年1月8日ポッドキャスト · 2 人Jensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing Jobsホスト 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.企業と戦略Reasoning & test-time computeAI cost & performance+3
スライド 2 枚1:38EN
Matthew Berman· 2025年12月29日NVIDIA’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
スライド1:55:39EN
Matthew Berman· 2025年12月20日AI 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.インフラとデプロイAI cost & performanceAI research+2
スライド 4 枚9:55EN
Matthew Berman· 2025年12月18日Gemini 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.Benchmarksモデルと学習AI cost & performance+1
38:21EN
Sequoia Capital· 2025年12月16日ポッドキャストHow 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.企業と戦略Company Buildingインフラとデプロイ+3
2:06:09EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月14日ポッドキャストOne ChatGPT query is a second in the microwaveホスト Nathan LabenzAndy Masley walks Nathan Labenz through the energy and water math of AI, from a single prompt to an 80-gigawatt buildout.インフラとデプロイAI cost & performanceScience Communication+1
スライド 4 枚1:58EN
Matthew Berman· 2025年12月12日GPT-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· 2025年12月10日ポッドキャストA 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.インフラとデプロイGenerative media画像と動画+3
57:37EN
Unsupervised Learning: With Jacob Effron· 2025年12月10日ポッドキャストThe hot-swap era for models is over, OpenAI's enterprise product chief saysホスト Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.企業と戦略エンタープライズ AIProduct Strategy+3
1:32:38EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月6日ポッドキャストPolish Is 1% of Frontier Training Data, So Poland Built Its Own Modelホスト 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.企業と戦略Open-weight modelsData quality & curation+3
スライド 5 枚22:48EN
Matthew Berman· 2025年11月25日Matthew 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 Modelsインフラとデプロイ+2
スライド 4 枚10:27EN
Matthew Berman· 2025年11月24日Claude 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.BenchmarksコーディングエージェントMCP とツール+1
スライド 8 枚12:47EN
Matthew Berman· 2025年11月20日Gemini 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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