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1:06:39ENWhy Jane Street Uses OCamlA Jane Street talk explains how functional programming and static types support reliable trading software, and examines the costs of choosing a less common language.
23:58ENEffective ML: Errors, Abstraction and Managing ComplexityA Jane Street engineer discusses explicit failure, boilerplate, type-system restraint and the practical role of side effects.
1:04:56ENYaron Minsky on Incremental: From Research Idea to Production LibraryYaron Minsky · Jane StreetA history of the algorithms, memory problems and performance tradeoffs behind Jane Street’s OCaml library for self-adjusting computations.
1:12:41ENRon Minsky on Trading, Correctness and Jane Street’s Shift to OCamlYaron Minsky · Jane StreetA Jane Street technologist explains the market-making business and why readability, types and predictable performance shaped the firm’s choice of OCaml.
51:35ENYaron Minsky on Effective ML: Interfaces, Invariants and Code ReadersYaron Minsky · Jane StreetIn the first part of a 2011 Harvard lecture, Jane Street’s Yaron Minsky shows how OCaml interfaces and types can make long-lived code easier to understand and change.
10:20EN
Lex FridmanPódcast · 2 vocesHow C++ Is Standardized: Votes, Consensus and the Move to a Three-Year Release CycleInvitado: Bjarne Stroustrup · Presenta: Lex FridmanBjarne Stroustrup explains how the ISO committee works, why C++0x slipped to C++11, and how shorter cycles made C++14, C++17 and C++20 arrive on time.
10:24ENLex FridmanPódcast · 2 vocesConcepts: How C++ Finally Got Compile-Time Constraints on TemplatesInvitado: Bjarne Stroustrup · Presenta: Lex FridmanBjarne Stroustrup explains what C++ concepts are, why they are real and shippable today, and why it took decades to get them right.
40:25ENLex FridmanPódcastA Language That Knows the World: Stephen Wolfram on Computable KnowledgePresenta: Lex FridmanIn this clip from the Lex Fridman Podcast, Stephen Wolfram explains what makes the Wolfram Language different from ordinary programming languages and how it grew into a computable knowledge base, from Wolfram Alpha to computational contracts.
57:15ENLex FridmanPódcastInside Torch and Autograd: How Deep Learning Libraries Compute GradientsPresenta: Lex FridmanAlex Wiltschko of Twitter walks through Lua Torch, then explains automatic differentiation and what separates modern deep learning frameworks.
14:47ENLex FridmanPódcast · 2 vocesBuild Your Own Types: What Bjarne Stroustrup Learned from Simula, Fortran and LispInvitado: Bjarne Stroustrup · Presenta: Lex FridmanThe creator of C++ traces how Simula's user-defined types shaped his language, and why he builds for constrained, long-lived systems.