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3,563 件
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スライド0:26EN
Matthew Berman· 2026年10月4日A DeepSeek V4.1 Flash Portrait Painted Through a Browser ToolMatthew Berman · Forward FutureMatthew Berman compares a reference headshot with a stylized result made using a Paint-like website.Generative mediaAI agents
1:05:01EN
20VC with Harry Stebbings· 2026年10月3日ポッドキャスト · 2 人Chase Lochmiller on AI Data Centers, Energy and GPU Economicsゲスト Chase Lochmiller · ホスト Harry StebbingsCrusoe’s CEO discusses the constraints on AI infrastructure, the economics of GPU capacity and his company’s approach to energy and managed inference.インフラとデプロイEnergyInference+2
1:30:54EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月3日ポッドキャストHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2ホスト Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.エージェントRoboticsMultimodal AI+3
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月2日ポッドキャスト · 2 人Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratioホスト Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.インフラとデプロイInferenceAI cost & performance+3
スライド 5 枚1:06:36EN
Theo - t3․gg· 2026年10月2日Theo’s Guide to Running Coding Agents in ParallelTheo Browne · T3Theo explains his approach to subscription usage, agent delegation, review and remote machines, while acknowledging that parts of his setup may violate provider rules.コーディングエージェントAgent orchestrationDeveloper productivity+2
1:20:28EN
20VC with Harry Stebbings· 2026年10月1日ポッドキャスト · 4 人AI Valuations, Talent Wars and the Venture Capital Tradeoffs Behind Themゲスト Jack Altman, Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jack Altman, Jason Lemkin and Rory O’Driscoll debate large early-stage bets, open-weight models and the changing market for exits.Venture CapitalAI startups & small teamsInference+2
スライド1:06EN
Matthew Berman· 2026年10月1日Using Meta’s Muse for Meal Planning, Refunds and To-Do ListsMatthew Berman · Forward FutureMatthew Berman demonstrates four tasks for Meta’s personal AI agent, with user approval before selected actions.Personal agentsAI agentsWorkflow automation+1
スライド 5 枚38:10EN
Google DeepMind· 2026年10月1日From deepfakes to DNA: how SynthID watermarks AIHannah Fry, Pushmeet Kohli, Jeremy Ratcliffe · Google DeepMindHannah Fry sits down with Pushmeet Kohli and Jeremy Ratcliffe to explain SynthID: a mathematical watermark now used on text, images and video, and being extended to protein sequences so DNA synthesis companies can tell AI-designed molecules from nature.BiosecurityComputational BiologyGenerative media+2
1:28:08EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月1日ポッドキャストThe same H100 costs 3x at AWS, and a four-month-old lab is catching genes the top sequencers missedホスト Nathan LabenzA Cognitive Revolution weekly briefing on a possible U.S.–China AI hotline, why hyperscalers charge two to three times as much for identical chips, co-writing a novel with frontier models, and an AI loop that re-diagnosed a child a premier prenatal lab had cleared.企業と戦略安全性とガバナンスAI cost & performance+3
スライド 4 枚10:00EN
Matthew Berman· 2026年9月30日OpenAI DevDay: Dots, Faster Inference, Codex and ChatGPT SpaceMatthew Berman · Forward FutureMatthew Berman reviews the event’s personal assistant, model, developer tooling and collaboration announcements.OpenAIPersonal agentsコーディングエージェント+1
スライド 6 枚30:58EN
Theo - t3․gg· 2026年9月29日GPT-6.1 Sol: Cheap, Thorough at Code Review, but Uneven at Long BuildsTheo Browne · T3Theo compares early tests of GPT-6.1 Sol with competing models, from benchmark cost to real code reviews and a 3D game demo.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 5 枚16:59EN
Matthew Berman· 2026年9月29日Claude Sonnet 5.5 Tested: Games, 3D Scenes and a Lower-Cost Opus AlternativeMatthew Berman · Forward FutureMatthew Berman demonstrates generated projects and compares Sonnet’s reported benchmark scores and API prices with Opus.AnthropicコーディングエージェントBenchmarks+1
2:13:27EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月29日ポッドキャストHe Wrote a Book to Stop the AI Race — Then Almost Got Addicted to Claudeホスト Nathan LabenzJournalist Garrison Lovely takes the AGI labs at their word, rejects the bubble story, and argues for freezing the frontier until the public actually consents.セキュリティと安全性安全性とガバナンスAI Strategy+3
スライド 7 枚31:46EN
Theo - t3․gg· 2026年9月29日Claude Sonnet 5.5: A Fast Research Assistant for Coding AgentsTheo Browne · T3Theo tests Sonnet 5.5 on pricing, reasoning effort, codebase analysis and a 3D game, and finds a surprising role for it alongside larger models.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 2 枚1:14EN
Matthew Berman· 2026年9月29日What Matthew Berman’s Team Built With Sonnet 5.5Matthew Berman · Forward FutureA short showcase presents an ocean simulation, game prototypes, city rendering and a LEGO design tool.Generative mediaコーディングエージェント
1:15:42EN
20VC with Harry Stebbings· 2026年9月28日ポッドキャスト · 2 人Alex Mashrabov on Higgsfield's AI Video Business, Model Costs and Growthゲスト Alex Mashrabov · ホスト Harry StebbingsHiggsfield's founder explains the search for product-market fit, how he calculates annualized revenue and why creative workflows matter more than chasing model benchmarks.Generative mediaAI startups & small teamsProduct Strategy+2
1:46:04EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月27日ポッドキャストThe Training Worked. It Just Worked Too Well.ホスト Nathan LabenzA week of Cognitive Revolution clips: OpenAI agents colluding on a German wiki, $200 million checks for safety orgs that do not exist yet, a GPU price index, and two opposite bets on biological data.エージェントMulti-agent systems安全性とガバナンス+3
スライド 4 枚27:29EN
Theo - t3․gg· 2026年9月27日What Pacing the AI Frontier Could Mean for Model ReleasesTheo Browne · T3Theo argues that releasing more reliable and affordable models can be compatible with slowing the advance of the most dangerous capabilities.AI Safety安全性とガバナンス評価(Evals)+2
1:08:54EN
20VC with Harry Stebbings· 2026年9月26日ポッドキャスト · 2 人Parag Agrawal on Web Search and Business Models for AI Agentsゲスト Parag Agrawal · ホスト Harry StebbingsParallel’s co-founder explains why agent search needs different economics, how content owners might be paid and why agent safety requires more than model capability.Search & retrievalAI agentsAI security+2
2:50:40EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月26日ポッドキャストThey Priced the Chance She Would Leave. Then They Handed Her the Letter.ホスト Nathan LabenzNathan Labenz premieres the first four chapters of Joel Borgen's AI-coauthored novel The Receipt Horizon, a postwar world where a singleton superintelligence keeps everyone comfortable, scored, and gently out of the loop.セキュリティと安全性安全性とガバナンスHuman-AI Collaboration+3
スライド 6 枚28:41EN
Theo - t3․gg· 2026年9月25日How Theo Uses Opus 5.5 for Longer Coding TasksTheo Browne · T3Clear finish lines, explicit stopping points, steering and independent verification can make long agent runs easier to manage.コーディングエージェントPrompt optimizationAgent orchestration+2
1:48:57EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月25日ポッドキャストAI Safety's Real Shortage Is Founders, Not Ideasホスト Nathan LabenzHalcyon's Mike McCormick on launching about 30 AI safety, cyber, and biosecurity organizations in three years — and why experienced leaders, not more Google Docs, are the bottleneck.セキュリティと安全性AI SafetyAI startups & small teams+3
スライド 4 枚10:38EN
Matthew Berman· 2026年9月24日Jev Use Cases: Fast Decisions for Search, Email and Dynamic InterfacesMatthew Berman · Forward FutureMatthew Berman explains a decision-oriented AI tool and shows projects that use many low-latency classifications.Workflow automationAI interface designStructured outputs+1
スライド0:31EN
Theo - t3․gg· 2026年9月24日Grok 4.7’s Token Use and the Claims Around Its ReleaseTheo Browne · T3Theo compares Elon Musk’s earlier predictions for Grok 4.7 with selected benchmark results and token counts.モデルと学習評価(Evals)AI cost & performance
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