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4,468 件
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スライド 4 枚17:43EN
Matthew Berman· 2023年11月6日OpenAI DevDay 2023: GPT-4 Turbo, Custom GPTs and Developer ToolsMatthew Berman, Sam Altman, Satya Nadella · Forward FutureMatthew Berman reviews OpenAI’s 2023 announcements, from longer context and cheaper API calls to custom GPTs and their implications for developers.OpenAIインフラとデプロイエージェント工学+2
52:14EN
20VC with Harry Stebbings· 2023年11月6日ポッドキャスト · 2 人Joey Zwillinger on Allbirds’ Market Decline and Turnaround Planゲスト Joey Zwillinger · ホスト Harry StebbingsThe Allbirds co-founder discusses the company’s 2023 share-price decline, inventory and distribution changes, and its goals for profitability.Company BuildingLeadershipProduct Strategy+2
1:03:46EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月3日ポッドキャストWhen Code Costs a Dime, You Throw the App Awayホスト Nathan LabenzLindy founder Flo Crivello tells Nathan Labenz how an AI employee learns APIs from documentation, why GPT-4 made quality the only metric that matters, and why even he wants aviation-style rules for AI.エージェント安全性とガバナンスAGI(汎用人工知能)+3
57:16EN
20VC with Harry Stebbings· 2023年11月3日ポッドキャスト · 4 人Jack Altman, Auren Hoffman and Jason Lemkin Debate Founder-Led Venture Fundsゲスト Jack Altman, Auren Hoffman, Jason Lemkin · ホスト Harry StebbingsThe operators and investors discuss founder advice, limited-partner obligations, time trade-offs and whether their model can scale.Venture CapitalFoundersInvesting+2
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年11月2日ポッドキャスト · 2 人Reliability is the bottleneck. Autonomy is what would make AI feel alive.ホスト Sarah Guo, Elad GilIlya Sutskever talks with Sarah Guo and Elad Gil about AlexNet, OpenAI’s capped-profit bet, why smaller models mainly lose reliability, and the line he draws for digital life.モデルと学習AGI(汎用人工知能)Scaling Laws+3
16:14EN
AI Explained· 2023年11月2日AGI Timelines and AI Safety Commitments: The 2023 DebateA historical comparison of forecasts, the Bletchley summit and research on model behavior.AGI(汎用人工知能)AI Safety安全性とガバナンス
1:16:06EN
20VC with Harry Stebbings· 2023年11月1日ポッドキャスト · 2 人David Meyer on Product Management, Customer Curiosity and Building Teamsゲスト David Meyer · ホスト Harry StebbingsThe Databricks product leader explains why product work is a balancing act, how to test assumptions with customers, and what he looks for when hiring.Product ManagementProduct LeadershipHiring+1
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月31日ポッドキャストThe Historian Who Taught GPT-3.5 to Beat GPT-4ホスト Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.RAG とナレッジ検索拡張生成(RAG)ファインチューニング+3
スライド 3 枚5:31EN
Matthew Berman· 2023年10月30日Connecting MemGPT to AutoGen AgentsMatthew Berman · Forward FutureIn a 2023 tutorial, Matthew Berman configures a MemGPT-backed coding agent alongside an AutoGen product manager and runs a short group chat.Agent memoryMulti-agent systemsコーディングエージェント
1:16:45EN
20VC with Harry Stebbings· 2023年10月30日ポッドキャスト · 2 人Nick Tomaino on Crypto Investing, FTX and the NFT Debateゲスト Nick Tomaino · ホスト Harry StebbingsThe 1confirmation founder discusses fund discipline, token incentives, OpenSea and the limits of conviction in a 2023 conversation.CryptocurrencyVenture CapitalInvesting+2
17:11EN
Theo - t3․gg· 2023年10月30日Next.js 14 in Context: Server Actions and Partial PrerenderingTheo Browne · Ping LabsTheo explains the 2023 release and its rendering tradeoffs.Software engineeringProduct engineeringDeveloper productivity
スライド 6 枚10:13EN
Matthew Berman· 2023年10月28日Building a Business Chatbot with GPTBots.aiMatthew Berman · Forward FutureIn a sponsored 2023 walkthrough, Matthew Berman configures an assistant, adds business knowledge, corrects a response and builds a branching flow.AI agentsプロダクトと UXエージェント工学+1
50:31EN
20VC with Harry Stebbings· 2023年10月27日ポッドキャスト · 2 人Ed Sim on Seed Valuations, Inception Investing and Reserving for Growthゲスト Ed Sim · ホスト Harry StebbingsThe Boldstart founder explains his early financing framework, the risks of excess capital and why follow-on discipline matters.Venture CapitalInvestingStartups+2
スライド 3 枚6:40EN
Matthew Berman· 2023年10月27日Running MemGPT with an Open-Weight Model on RunPodMatthew Berman · Forward FutureMatthew Berman connects the original MemGPT project to a model served through text-generation-webui, then tests a simple memory interaction. The demonstration uses a remote GPU and historical software versions.Agent memoryLocal inferenceOpen-weight models+1
36:22EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年10月26日ポッドキャスト · 2 人One Attacker and a For Loop: Why Email Is Still the Softest Target in an AI Arms Raceホスト Sarah Guo, Elad GilMaterial Security co-founder Ryan Noon on how 2016 election hacks, Google and Microsoft's email duopoly, and large language models are rewriting both sides of cybersecurity.セキュリティと安全性AI securityエンタープライズ AI+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
1:01:06EN
20VC with Harry Stebbings· 2023年10月25日ポッドキャスト · 2 人Ely Lerner on Startup Advisors, Growth Strategy and Focusゲスト Ely Lerner · ホスト Harry StebbingsThe former Yelp and Chime product leader explains how to choose and compensate advisors, identify a growth lever, and balance strategic bets with essential defensive work.Growth StrategyProduct ManagementStartups+1
26:40EN
20VC with Harry Stebbings· 2023年10月24日ポッドキャスト · 2 人Matthew Prince and Harry Stebbings Debate How Narrowly Startups Should Focusゲスト Matthew Prince · ホスト Harry StebbingsThe Cloudflare co-founder and 20VC host examine early customers, ambitious visions and the different goals of venture-backed and bootstrapped companies.Company BuildingProduct-Market FitVenture Capital+2
1:26:30EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月24日ポッドキャストMost of this data has never been in a database: Chroma's wartime CTO on RAGホスト Nathan LabenzAnton Troynikov returns to The Cognitive Revolution to argue that retrieval quality is mostly the embedding, that Chroma should own the RAG loop, and that GPT still fails a basic Game of Life test of reasoning.RAG とナレッジ検索拡張生成(RAG)Embeddings+3
53:34EN
20VC with Harry Stebbings· 2023年10月23日ポッドキャスト · 2 人Matthieu Rouif on PhotoRoom's Focus, Mobile Growth and AI Designゲスト Matthieu Rouif · ホスト Harry StebbingsThe PhotoRoom co-founder explains how user testing, a narrow audience and mobile distribution shaped the photo-editing business.Product StrategyAI Product ManagementGrowth Strategy+2
32:34EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年10月23日ポッドキャスト · 2 人Ten Thousand Certified Engineers in a Year: Google Cloud's Order of Operations for Enterprise AIホスト Sarah Guo, Elad GilKawal Gandhi, head of generative AI in Google Cloud's Office of the CTO, walks Sarah Guo and Elad Gil through dogfooding, the efficiency-productivity-creativity ladder, and why customer weights are the IP that cannot leak.企業と戦略エンタープライズ AIAI Strategy+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
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月18日ポッドキャスト1,000 H100s Take 115 Days; 22,000 Take Fiveホスト Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.モデルと学習AI researchModel Interpretability+3
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