絞り込み結果
416 件並び順
29:38EN
20VC with Harry Stebbings· 2023年9月25日ポッドキャスト · 2 人Marc Benioff on Salesforce, San Francisco and Personal Prioritiesゲスト Marc Benioff · ホスト Harry StebbingsThe Salesforce co-founder discusses his AI ambitions, a five-question planning framework, philanthropy and work arrangements.
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月21日ポッドキャスト · 2 人A Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.ホスト Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.
18:17EN
Matthew Berman· 2023年9月15日AI News in September 2023: Apple, Model Releases and InfrastructureMatthew Berman · Forward FutureMatthew Berman surveys a week of consumer products, autonomous-driving claims, safety policies and research, alongside an unverified extraterrestrial claim.
16:22ENMatthew Berman· 2023年8月25日AI News in August 2023: Models, Copyright Disputes and the Business of AIMatthew Berman · Forward FutureMatthew Berman reviews a week of AI releases and legal battles, from Python in Excel and Meta's translation model to copyright and personalized feeds.
15:49ENMatthew Berman· 2023年8月24日Matthew Berman on AI Adoption, Hype and the Case for CautionMatthew Berman · Forward FutureA 2023 response to a skeptical assessment of ChatGPT and Bing weighs early usage patterns, creative work and AI risks.
24:40EN20VC with Harry Stebbings· 2023年8月22日ポッドキャスト · 2 人Tim Urban on Curiosity, Research and the Writing Processゲスト Tim Urban · ホスト Harry StebbingsThe Wait But Why writer explains how he chooses questions, learns unfamiliar subjects and turns research into stories for curious readers.
23:22EN20VC with Harry Stebbings· 2023年8月11日ポッドキャスト · 2 人Adam Mosseri on Launching Threads: Social Graphs, Creators and Retentionゲスト Adam Mosseri · ホスト Harry StebbingsEight days after launch, Instagram’s head explains how Threads used existing relationships, recruited early creators and faced the harder problem of keeping users.
18:08ENMatthew 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.
23:20EN20VC with Harry Stebbings· 2023年6月14日ポッドキャスト · 2 人Rishi Sunak on UK AI Policy, Talent and Education in 2023ゲスト Rishi Sunak · ホスト Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.
19:38ENMatthew Berman· 2023年6月9日Orca: Teaching a Smaller Model with GPT-4 ExplanationsMatthew Berman · Forward FutureMatthew Berman reviews Microsoft Research’s 2023 Orca paper and its approach to training a 13-billion-parameter model on detailed teacher responses.
26:18EN20VC with Harry Stebbings· 2023年5月9日ポッドキャスト · 2 人Avlok Kohli on Startup Funding, Fund Liquidity and AngelList’s AI Workflowsゲスト Avlok Kohli · ホスト Harry StebbingsA 2023 conversation about venture financing conditions, secondary fund positions and automating parts of fund administration.
20:48ENMatthew Berman· 2023年4月24日Matthew Berman’s ChatGPT Coding Workflow: Build, Test, and IterateMatthew Berman · Forward FutureA 2023 walkthrough builds a Python command-line chat client while showing how to plan, debug, and revise AI-generated code. The software interfaces and model limits described are historical.
15:37ENMatthew Berman· 2023年3月22日AI News in March 2023: Firefly, Gen-2, Bard and Job ExposureMatthew Berman · Forward FutureMatthew Berman reviews early generative media launches, a labor-exposure study and single-image view synthesis.
17:06ENMatthew Berman· 2023年3月11日A 2023 Walkthrough of the ChatGPT API and a Python Naming AppMatthew Berman · Forward FutureMatthew Berman explains the GPT-3.5 Turbo launch, tokens and temperature, then runs an older DaVinci-based Flask example.
25:42EN
Jane Street· 2022年11月8日Graham and Andrea Work Through a Trading Mock InterviewMichael, Graham, Andrea · Jane StreetA 20-sided die game shows how a trading interview can develop through clarification, quantitative estimates and collaborative problem-solving.
28:48EN20VC with Harry Stebbings· 2022年10月25日ポッドキャスト · 2 人Rishi Sunak on Talent, Investment and Policy Trade-Offs in 2021ゲスト Rishi Sunak · ホスト Harry StebbingsIn an interview recorded while he was chancellor, Sunak discusses startup-inspired policymaking, immigration proposals, the Future Fund and the limits of government action.
17:19EN
Lex Fridman· 2020年3月17日ポッドキャストMoney Is a Game of Points: Vitalik Buterin on Coordination, Public Goods, and Quadratic Fundingホスト Lex FridmanVitalik Buterin explains money as a social point system, why value can survive without physical backing, and how quadratic funding tries to fix public-good underfunding.
16:03ENLex Fridman· 2020年2月22日ポッドキャスト · 2 人Quantum Supremacy Is a Well-Defined Speedup, Not a Useful Taskゲスト Scott Aaronson · ホスト Lex FridmanScott Aaronson explains what Google's 53-qubit experiment actually demonstrated, how it was verified, and why complexity theory can offer evidence but not proof against classical spoofing.
26:02ENLex Fridman· 2020年2月9日ポッドキャストMoore’s Law Is Not Dead—It Is a Cascade of S-Curvesホスト Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
20:44ENLex Fridman· 2020年1月5日ポッドキャスト · 2 人The Staff Job That Became a Dictatorship: Stalin's Improbable Road to Powerゲスト Stephen Kotkin · ホスト Lex FridmanStephen Kotkin traces how war, revolution, contingency, and a new administrative post let Stalin build a personal dictatorship inside the Bolshevik regime.
20:34ENLex Fridman· 2019年10月26日ポッドキャスト · 2 人Teaching Machines the Frameworks Humans Take for Grantedゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
25:44ENJane Street· 2017年3月9日Why Functional Programming Matters at Jane StreetSebastian Funk · Jane StreetA Jane Street developer revisits John Hughes’s classic argument and explains why expressive static types rank highest for trading systems.
28:31ENJane Street· 2017年3月9日Incremental: Self-Adjusting Computations in OCamlSebastian Funk · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.
23:58ENJane Street· 2016年3月31日Effective ML: Errors, Abstraction and Managing ComplexityYaron Minsky · Jane StreetA Jane Street engineer discusses explicit failure, boilerplate, type-system restraint and the practical role of side effects.もっと見る416 件中 24 件を表示