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4,470 件
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1:04:31EN
20VC with Harry Stebbings· 2023年7月10日ポッドキャスト · 2 人Simon Sinek on Trust, Listening and the Work of Being a Better Leaderゲスト Simon Sinek · ホスト Harry StebbingsThe author discusses identity, difficult conversations and how leaders can create space for honest feedback and productive dissent.LeadershipCommunicationRelationships+2
スライド 3 枚12:20EN
Matthew Berman· 2023年7月10日Testing UltraLM 13B: A Small Model’s Strengths and Reasoning ErrorsMatthew Berman · Forward FutureA 2023 local test finds useful writing and simple coding alongside failures in games, arithmetic and logic.Open-weight models評価(Evals)モデルと学習+1
スライド 3 枚10:44EN
Matthew Berman· 2023年7月9日Can AI Help Humans Align More Powerful AI?Matthew Berman · Forward FutureMatthew Berman examines OpenAI’s 2023 Superalignment proposal, its plans for AI-assisted oversight, and the unanswered question of who evaluates the evaluators.AI AlignmentAI Safety人による検証(HITL)+2
2:28:37EN
Lex Fridman· 2023年7月6日ポッドキャスト · 2 人The Marshals Came for an Underground City. RFK Jr. Still Wants a President Who Can Say Noゲスト Robert F. Kennedy Jr · ホスト Lex FridmanOn Independence Day 2023, Lex Fridman sat with Robert F. Kennedy Jr. for two and a half hours on Cuba, Ukraine, the CIA, pharma, and why the shopping cart still has to go back.Political PhilosophyGeopoliticsPhilosophy+3
1:33:56EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月6日ポッドキャストThe AI Scouting Report: 90 Minutes From GPT-4's Exam Scores to Whether Models Understandホスト Nathan LabenzNathan Labenz spends a solo episode walking through what general-purpose models can do, how they are trained, how capabilities unlock, and whether they understand anything at all.モデルと学習機械学習の基礎Scaling Laws+3
スライド 3 枚9:01EN
Matthew Berman· 2023年7月4日Installing and Testing DragGAN Locally: Matthew Berman’s 2023 WalkthroughMatthew Berman · Forward FutureA historical walkthrough of point-based image editing, dependency workarounds and the limits of an early DragGAN release.Generative media画像と動画Machine Learning
1:40:07EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月4日ポッドキャストThirty thousand voltage updates a second: inside Skydio’s autonomy stackホスト Nathan LabenzHayk Martiros walks Nathan Labenz through a two-pound drone that sees in every direction, runs more than ten neural nets on board, and will not be weaponized.エージェントRoboticsAutonomous Systems+3
2:20EN
Jane Street· 2023年7月3日Sean on Hospitality and Office Life at Jane StreetSean · Jane StreetA member of Jane Street's London hospitality team describes fresh food, teamwork and the office events that bring colleagues together.Company CultureCareers
スライド 5 枚16:39EN
AI Explained· 2023年7月3日Phi-1 and the Value of Textbook-Quality Training DataA 2023 analysis of a small coding model, synthetic data, repeated training and uncertain AI timelines.モデルと学習Data quality & curationAI Safety
スライド 3 枚7:05EN
Matthew Berman· 2023年7月2日Aider’s Early Coding Assistant: Snake and an Existing Rails ProjectMatthew Berman · Forward FutureMatthew Berman demonstrates the terminal tool’s 2023 workflow, from generating and iterating on a game to proposing a dependency change in a repository.コーディングエージェント開発ワークフローとテストSoftware engineering+1
1:47:05EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月1日ポッドキャストEdit Meaning, Not Tokens: Linus Lee on Latent-Space Interfacesホスト Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.プロダクトと UXAI interface designProduct Strategy+3
スライド 5 枚9:33EN
Matthew Berman· 2023年6月30日Testing SDXL 0.9: Image Quality, Clipdrop and a Midjourney ComparisonMatthew Berman · Forward FutureIn June 2023, Matthew Berman tries Stability AI’s image model, compares selected prompts with Midjourney and demonstrates Clipdrop’s lighting tool.Generative media画像と動画Open-weight models+1
2:09EN
Jane Street· 2023年6月30日Dan on Trading Desk Operations at Jane StreetDan · Jane StreetA London trading desk operations team member explains the variety of the role, what interviews seek, and why asking questions matters.CareersCompany Culture
2:21EN
Jane Street· 2023年6月30日Varun on Software Engineering at Jane StreetVarun · Jane StreetA London-based developer describes useful technical foundations, OCaml training and team matching at Jane Street.Software engineeringCareersCompany Culture
54:00EN
20VC with Harry Stebbings· 2023年6月30日ポッドキャスト · 2 人Douwe Kiela on Data, Retrieval and Enterprise AIゲスト Douwe Kiela · ホスト Harry StebbingsThe Contextual AI CEO discusses language model trade-offs, evaluation, open models and the hurdles to enterprise use.エンタープライズ AI検索拡張生成(RAG)Data quality & curation+2
3:08:46EN
Lex Fridman· 2023年6月29日ポッドキャスト · 2 人Who owns the off switch? George Hotz on tinygrad, open-source AI, and Godゲスト George Hotz · ホスト Lex FridmanOn his third Lex Fridman podcast, the comma.ai and tiny corp founder argues that compute, intelligence, and the off switch should live in people's houses, not in a trusted few.オープンソースとコミュニティインフラとデプロイOpen-source ecosystems+3
51:22EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年6月29日ポッドキャスト · 2 人Three IPOs Later, Frank Slootman Still Thinks the Job Is Urgencyホスト Sarah Guo, Elad GilSnowflake's CEO tells No Priors how he picked the right elevator, turned a 15-person backup startup into an EMC acquisition, and why a data lake is a landfill you should not train on.企業と戦略Company BuildingLeadership+3
スライド 6 枚18:08EN
Matthew Berman· 2023年6月29日Six Language Models Compared on an Informal 2023 Prompt SetMatthew Berman · Forward FutureMatthew Berman tests coding, writing and reasoning with H2O GPT, finding a tie under a small and subjective rubric.BenchmarksOpen-weight modelsモデルと学習+1
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· 2023年6月29日ポッドキャストA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer Awayホスト Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.モデルと学習Multimodal AITransformers & attention+3
1:04:52EN
20VC with Harry Stebbings· 2023年6月28日ポッドキャスト · 2 人Jennifer Hyman on Building Rent the Runway and Managing for the Long Termゲスト Jennifer Hyman · ホスト Harry StebbingsThe founder discusses hiring, rental economics, paid marketing, board leadership and the work of turning a fashion subscription into a durable business.EntrepreneurshipCompany BuildingLeadership+2
5:02EN
Matthew Berman· 2023年6月28日Matthew Berman on Publishing Videos About Unrestricted AI ModelsMatthew Berman · Forward FutureAfter viewers raise concerns, Berman explains how he weighs freedom of information, research and the risk of misuse.Free Speech安全性とガバナンスAI Safety+1
1:52:46EN
Cognitive Revolution "How AI Changes Everything"· 2023年6月27日ポッドキャストCharge Neural Nets by Connection Length, and the Black Box Splits Into Modules You Can Seeホスト Nathan LabenzMIT physicist Ziming Liu walks Nathan Labenz through BIMT, a brain-inspired training trick that sparsifies networks until you can read them by looking.モデルと学習Model Interpretability機械学習の基礎+3
スライド 5 枚59:36EN
Matthew Berman· 2023年6月27日Pascal Pfeiffer on Retrieval, Open Models, Kaggle and Fine-Tuning with H2O LLM StudioMatthew Berman, Pascal Pfeiffer · Forward FutureIn a 2023 interview, H2O.ai’s Pascal Pfeiffer explains document retrieval and parameter-efficient fine-tuning, reflects on Kaggle competitions and demonstrates LLM Studio. He and Matthew Berman also consider coding assistants and unverified rumors about model architecture.ファインチューニング検索拡張生成(RAG)Open-weight models+2
27:25EN
3Blue1Brown· 2023年6月27日Convolution: Adding Probability DistributionsGrant Sanderson · 3Blue1BrownTwo visualizations connect weighted dice, continuous densities and the central limit theorem.MathematicsEducation
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