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Jane Street· 6 jul 2026Inside 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.
59:46ENJane Street· 12 mar 2025In 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.
46:37EN
20VC with Harry Stebbings· 22 sept 2023Pódcast · 2 vocesChristian Kleinerman on AI Models, Enterprise Data and Product DecisionsInvitado: Christian Kleinerman · Presenta: Harry StebbingsSnowflake’s product leader discusses model choice, enterprise adoption and the trade-offs between speed, reliability and simplicity.
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Lex Fridman· 12 jun 2021Pódcast · 2 vocesGeometry Is the Cilantro of MathInvitado: Jordan Ellenberg · Presenta: 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.
59:33ENJane Street· 7 oct 2020Laurent 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· 27 jun 2020Pódcast · 2 vocesThe Idea Once Called a Devolution Now Powers Almost Every New ChipInvitado: David Patterson · Presenta: 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· 26 sept 2019Pódcast · 2 voces400 Spins in a Pocket, and a Universe Too Small to Store ThemInvitado: Leonard Susskind · Presenta: 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 FridmanPódcast · 2 vocesMachine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You ThinkInvitado: MIT Sloan · Presenta: 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.