필터 결과
9개정렬
4:41ENInside Jane Street’s Internship: Projects, Mentorship and LearningCody · Jane StreetInterns and employees describe collaborative interviews, learning finance from the basics, and working on projects used by the firm.
59:46ENIn Young Cho on Trading Research and Finding Signal in Financial DataYaron Minsky, In Young Cho · Jane StreetIn Young Cho and Ron Minsky discuss the blurred lines between trading, research, and engineering, and why machine learning in markets is difficult.
2:36:13ZH
Zhang Xiaojun Podcast· 2025년 2월 24일팟캐스트 · 2명松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文게스트 Songlin Yang（松琳） · 진행자 张小珺从动态稀疏注意力到线性注意力混合架构：三条长上下文路线如何兼顾训练、推理与硬件效率
46:37EN
20VC with Harry Stebbings· 2023년 9월 22일팟캐스트 · 2명Christian Kleinerman on AI Models, Enterprise Data and Product Decisions게스트 Christian Kleinerman · 진행자 Harry StebbingsSnowflake’s product leader discusses model choice, enterprise adoption and the trade-offs between speed, reliability and simplicity.
2:41:47EN
Lex Fridman· 2021년 6월 12일팟캐스트 · 2명Geometry Is the Cilantro of Math게스트 Jordan Ellenberg · 진행자 Lex FridmanJordan Ellenberg tells Lex Fridman that the last 150 years of mathematics have been about one question: when two things count as the same.
59:33ENLaurent Mazare on Python, OCaml and Machine LearningYaron Minsky, Laurent Mazare · Jane StreetA researcher compares exploratory notebooks with robust production systems, and explains how language interoperability and resource management connect the two.
1:49:51ENLex Fridman· 2020년 6월 27일팟캐스트 · 2명The Idea Once Called a Devolution Now Powers Almost Every New Chip게스트 David Patterson · 진행자 Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.
57:30ENLex Fridman· 2019년 9월 26일팟캐스트 · 2명400 Spins in a Pocket, and a Universe Too Small to Store Them게스트 Leonard Susskind · 진행자 Lex FridmanLeonard Susskind tells Lex Fridman why quantum computers are not faster laptops, why string theory is a tool rather than a citizenship, and why nobody should claim to have found the bottom of the well.
1:28:53ENLex Fridman팟캐스트 · 2명Machine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You Think게스트 MIT Sloan · 진행자 Lex FridmanLex Fridman's non-technical MIT Sloan lecture explains how machine learning works, why it is so capable at perception, and where it still breaks in the real world.