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152 件
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1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月9日ポッドキャストHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him Anywayホスト Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.Prompting & in-context learningPrompt optimizationエージェント工学+3
59:11EN
Sequoia Capital· 2024年6月25日ポッドキャストDon't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.コーディングエージェントエージェント工学評価(Evals)+3
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月22日ポッドキャストA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.ホスト Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.モデルと学習AI in healthcareMultimodal AI+3
49:50EN
Sequoia Capital· 2024年6月18日ポッドキャストUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.エージェントエージェント工学Agent orchestration+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月7日ポッドキャスト · 2 人Meta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion Questionホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Gemini, Mistral, NVIDIA’s upgrade cycle, Klarna’s support bot, and why the real AI spend still sits with the hyperscalers.企業と戦略AI Strategyエンタープライズ AI+3
スライド 4 枚55:29EN
Matthew Berman· 2024年2月24日Building a CrewAI Newsletter Team: Scraping, Summarizing and DebuggingMatthew Berman, Joe · Forward FutureMatthew Berman builds a two-agent newsletter prototype, works through input and scraping errors, and shows what still needs to be fixed.Multi-agent systemsエージェント工学Workflow automation+2
1:45:21EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月30日ポッドキャスト600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4ホスト Nathan LabenzSander Schulhoff walks Nathan Labenz through the prompting habits that still work, the role-play myth that does not, and the global HackAPrompt contest that mapped how language models get hijacked.セキュリティと安全性Prompt injectionAI security+3
1:43:07EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月20日ポッドキャストAn Agent Posted Five Tweets — and 5,000 People Didn't Noticeホスト Nathan LabenzMultiOn founder Div Garg walks Cognitive Revolution through what web agents can actually do in early 2024, what they cost, and why guardrails have to sit outside the model.エージェントエージェント工学コンテキストエンジニアリング+3
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年1月18日ポッドキャスト · 2 人After a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelホスト Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.コーディングエージェント検索拡張生成(RAG)コンテキストエンジニアリング+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月12日ポッドキャストTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experimentホスト Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.エージェントAI for scienceエージェント工学+3
1:06:39EN
Unsupervised Learning: With Jacob Effron· 2024年1月9日ポッドキャストOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need Yearsホスト Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.企業と戦略AI StrategyPrompting & in-context learning+3
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月2日ポッドキャストIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%ホスト Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.エージェントエージェント工学Reasoning & test-time compute+3
32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年11月16日ポッドキャスト · 2 人Fourteen People, $200 Million of Compute, and the Reliability Bottleneck for Agentsホスト Sarah Guo, Elad GilImbue co-founders Kanjun Qiu and Josh Albrecht on why agents fail, why language models cannot learn general algorithms, and why they are spending a giant round on GPUs rather than headcount.エージェントコーディングエージェントエージェント工学+3
1:14:48EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月8日ポッドキャストDevDay Probably Created Thousands of Startups, Says OpenAI's Logan Kilpatrickホスト Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.企業と戦略Product Strategyエージェント工学+3
スライド 6 枚38:07EN
Matthew Berman· 2023年10月26日AutoGen Advanced Tutorial: Configuration, Memory, Retrieval and ToolsMatthew Berman · Forward FutureMatthew Berman walks through the 2023 AutoGen interface for multi-agent configuration, caching, retrieval, teachable memory and function calls.エージェント工学Agent orchestration検索拡張生成(RAG)+2
1:25:11EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月26日ポッドキャスト105 lines of code, a million impressions, and a VC who refused to found the companyホスト Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.エージェントエージェント工学Agent orchestration+3
スライド 4 枚32:14EN
Matthew Berman· 2023年10月20日MemGPT: Managing LLM Memory Beyond a Fixed Context WindowMatthew Berman, Charles Packer, Vivian Fang · Forward FutureMatthew Berman reviews the 2023 research, demonstrates document retrieval and hears from authors Charles Packer and Vivian Fang about their plans.Agent memoryコンテキストエンジニアリング検索拡張生成(RAG)+2
1:32:41EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月5日ポッドキャストThere are maybe 5,000 people who can train frontier models. The rest need AI engineersホスト Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.企業と戦略エージェント工学コーディングエージェント+3
55:13EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月7日ポッドキャストTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI Townホスト Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.エージェントエージェント工学Agent memory+3
1:39:53EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月8日ポッドキャストUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer Intelligenceホスト Nathan LabenzMichele Catasta, Replit's new VP of AI, lays out a generate-execute-learn loop he will not call AGI, a 2x-to-1000x productivity ladder, and a keystroke-level data advantage.コーディングエージェントDeveloper productivityAI startups & small teams+3
39:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年7月27日ポッドキャスト · 2 人Palantir's 13th Employee: The Model Is a Stochastic Genie. Ontology Is the Stake That Tethers Itホスト Sarah Guo, Elad GilCTO Shyam Sankar on 550 microservices, air-gapped submarines, and why Palantir's ontology is what large language models were waiting for.企業と戦略エンタープライズ AIAI Strategy+3
59:41EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月13日ポッドキャストHumans Are Single-Threaded. MULTI·ON Wants 100 Agents Running Anywayホスト Nathan LabenzStanford PhD dropout Div Garg put a personal agent in Chrome so it can reuse your logins, ask for help when it stalls, and stop before it hits Buy.エージェントPersonal agentsComputer use+3
58:26EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月25日ポッドキャストSeventy Percent of the Inbox Is a Pitch: Matt Welsh on the First Wave of AI Agentsホスト Nathan LabenzThe Fixie.ai founder maps copilot versus delegation, the missing appendages into our systems, and why agents will need guardrails, memory hygiene, and probably an earpiece.エージェントエージェント工学Agent memory+3
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月6日ポッドキャストThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.ホスト Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.RAG とナレッジエージェント工学評価(Evals)+3
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