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1:13:52EN
Matthew Berman· 2023年4月15日Andriy Mulyar on GPT4All, Data Quality and Open Local ModelsMatthew Berman, Andriy Mulyar · Forward FutureThe Nomic AI co-founder explains how GPT4All emerged, why training data matters, and the tradeoffs between local and centralized AI.Local inferenceOpen-weight modelsData quality & curation+2
43:43EN
20VC with Harry Stebbings· 2023年4月14日ポッドキャスト · 2 人David Marcus on PayPal, Libra and Building Open Paymentsゲスト David Marcus · ホスト Harry StebbingsThe Lightspark co-founder reflects on entrepreneurship, payment infrastructure and his 2023 views on regulation and AI.FintechCryptocurrencyCompany Building+2
35:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年4月13日ポッドキャスト · 2 人AGI as a side effect: Noam Shazeer on Transformers, Character.AI, and two-hour chatsホスト Sarah Guo, Elad GilIn April 2023, the Transformer co-author told No Priors how a 22-person startup turned open-ended chat into a consumer product — and treated AGI as a byproduct of making the model smarter.プロダクトと UXCompany BuildingAI startups & small teams+3
2:48:12EN
Lex Fridman· 2023年4月13日ポッドキャスト · 2 人The Asteroid We Are Building Ourselvesゲスト Max Tegmark · ホスト Lex FridmanPhysicist Max Tegmark tells Lex Fridman why a six-month pause on models larger than GPT-4 is not a ban on AI, but a chance to stop a suicide race.セキュリティと安全性Existential Risk安全性とガバナンス+3
1:42:48EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月13日ポッドキャストThe Skype Co-Founder Who Wants a Six-Month Pause on Frontier AIホスト Nathan LabenzJaan Tallinn argues that each 10× jump in training compute carries a 1 to 50 percent chance of ending everything, and that the labs still will not say when they will stop.セキュリティと安全性Existential Risk安全性とガバナンス+3
スライド 2 枚11:16EN
AI Explained· 2023年4月13日A 2023 Discussion of Incremental AI Releases and SafetyIlya Sutskever, Sebastien Bubeck · OpenAIAI Explained examines Greg Brockman’s proposal for gradual model improvements, the uncertainty of forecasts and the challenge of reliability.AI HistoryAI Safetyモデルと学習+1
13:22EN
20VC with Harry Stebbings· 2023年4月13日ポッドキャスト · 2 人Tobi Lütke on Progress, Contentment and Wealthゲスト Tobi Lütke · ホスト Harry StebbingsA 2023 conversation contrasts concerns about the world with a founder’s optimistic perspective.Personal GrowthDecision Making
1:02:01EN
20VC with Harry Stebbings· 2023年4月12日ポッドキャスト · 2 人Joost de Valk on Building Yoast, SEO Fundamentals and the AI Content Shiftゲスト Joost de Valk · ホスト Harry StebbingsThe Yoast founder explains how a free WordPress plugin became a business, what founders get wrong about search, and how AI may change content and software.Content StrategyGrowth StrategyOpen Source+2
スライド 5 枚8:02EN
Matthew Berman· 2023年4月12日Meta’s Segment Anything: Promptable Image Masks and the SA-1B DatasetMatthew Berman · Forward FutureIn April 2023, Matthew Berman reviews Meta’s Segment Anything project and demonstrates selecting image regions with clicks, boxes and automatic mask generation. The model segments pixels; it does not by itself name every object or guarantee accurate results on every image.Computer Vision画像と動画Deep Learning+1
スライド 4 枚11:38EN
Matthew Berman· 2023年4月11日How Generative Agents Populate a Simulated TownMatthew Berman · Forward FutureMatthew Berman explores a Stanford and Google research prototype in which language-model agents remember, plan and interact in a small virtual town.Multi-agent systemsAgent memoryAI research+1
1:09:54EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月11日ポッドキャストA $100 Doctor Visit and a $1 AI: GPT-4 Was Already Unbundling Workホスト Nathan LabenzBefore GPT-4 launched, Nathan Labenz spent two months making the model play a dozen paid professions, then argued with Erik Torenberg about what that does to jobs, regulation, and white-collar status.企業と戦略AI StrategyAGI(汎用人工知能)+3
3:46:39EN
Lex Fridman· 2023年4月9日ポッドキャスト · 2 人He Hated School Math Until a Professor Opened the Book to Quarksゲスト Edward Frenkel · ホスト Lex FridmanEdward Frenkel talks with Lex Fridman about Soviet childhood, the Langlands program, Gödel, AI, and why every hard objective theory still ends with an observer.MathematicsPhysicsPhilosophy of Science+3
スライド 4 枚12:59EN
AI Explained· 2023年4月9日Auto-GPT, Memory and Model Orchestration: Early Agent ExperimentsA 2023 snapshot of iterative prompts, tool use, persistent context and AI safety questions.AI agentsAgent memoryAI Safety+1
1:10:16EN
20VC with Harry Stebbings· 2023年4月7日ポッドキャスト · 2 人Rob Lacher on Building a Venture Firm and Europe’s Entrepreneur Networksゲスト Rob Lacher · ホスト Harry StebbingsThe Visionaries Club founder discusses hiring, fund concentration, follow-on reserves and the role of family businesses in European technology.Venture CapitalInvestingHiring+2
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年4月6日ポッドキャスト · 2 人A 6-Billion-Parameter Clone of ChatGPT’s Core Trickホスト Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.モデルと学習Open-weight modelsファインチューニング+3
スライド 5 枚6:24EN
Matthew Berman· 2023年4月6日BloombergGPT: Mixing Financial and General Data for a Language ModelMatthew Berman · Forward FutureMatthew Berman examines the 2023 finance-focused research model, its training corpus, evaluation and decision not to release weights.金融 AIモデルと学習評価(Evals)+1
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
0:29EN
20VC with Harry Stebbings· 2023年4月6日ポッドキャスト · 2 人Bill Ackman Proposes Taxing Some Borrowing Against Assetsゲスト Bill Ackman · ホスト Harry StebbingsA 2023 policy argument about stock and real-estate borrowing.
スライド 7 枚7:16EN
Matthew Berman· 2023年4月5日Setting Up Alpaca Turbo for Local Language Models: A 2023 TutorialMatthew Berman · Forward FutureMatthew Berman demonstrates an early ChatGPT-style interface for local Alpaca models, from the Conda setup to a short test on a Mac.Local inferenceOpen-weight modelsプロダクトと UX+1
1:33:36EN
20VC with Harry Stebbings· 2023年4月5日ポッドキャスト · 2 人Mike Salguero on Bootstrapping ButcherBox and Subscription Economicsゲスト Mike Salguero · ホスト Harry StebbingsThe ButcherBox founder explains customer acquisition, per-box margins and the trade-offs behind building without venture capital.Company BuildingGrowth StrategyProduct-Market Fit+2
1:33:49EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月4日ポッドキャストSafe Only Because It's Weak: A GPT-4 Red-Teamer and Two Founders Debate the Pauseホスト Nathan LabenzNathan Labenz, who spent six months trying to make GPT-4 misbehave, wants labs to stop training anything bigger; Chroma's Anton Troynikov and Lindy's Flo Crivello argue a six-month freeze buys little and may select for the least careful labs.セキュリティと安全性安全性とガバナンスExistential Risk+3
3:34:58EN
Lex Fridman· 2023年4月4日ポッドキャスト · 2 人An 18-year-old bought a one-way ticket to the Amazonゲスト Paul Rosolie · ホスト Lex FridmanPaul Rosolie had no degree, no funding, and no expedition. Seventeen years later he is still there, protecting a library of life we have not finished reading.StorytellingPhilosophy
スライド7:53EN
Matthew Berman· 2023年4月4日HuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.Agent orchestrationMultimodal AIモデルと学習+1
スライド 3 枚5:08EN
Matthew Berman· 2023年4月3日Chatting with a PDF in Colab Using LangChain and a Vector IndexMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 PDF question-answering notebook; its retrieval workflow does not fine-tune model weights and its revenue example is incorrect.検索拡張生成(RAG)Document understanding & OCR開発ワークフローとテスト+1
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