필터 결과
7개정렬
9:14ENOCaml Local Function Types: Why Partial Application Can EscapeRichard Eisenberg · Jane StreetRichard Eisenberg uses a list-append example to show how a local argument changes the mode of a partially applied function in Jane Street’s OCaml compiler branch.
14:23ENTesting DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.
3:09ENMinjie on Cybersecurity Engineering at Jane StreetMinjie · Jane StreetA Hong Kong software engineer describes learning OCaml, working on an internal permissions system and collaborating across teams on security alerts.
10:20EN
Lex Fridman팟캐스트 · 2명How C++ Is Standardized: Votes, Consensus and the Move to a Three-Year Release Cycle게스트 Bjarne Stroustrup · 진행자 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 Fridman팟캐스트 · 2명Concepts: How C++ Finally Got Compile-Time Constraints on Templates게스트 Bjarne Stroustrup · 진행자 Lex FridmanBjarne Stroustrup explains what C++ concepts are, why they are real and shippable today, and why it took decades to get them right.
14:47ENLex Fridman팟캐스트 · 2명Build Your Own Types: What Bjarne Stroustrup Learned from Simula, Fortran and Lisp게스트 Bjarne Stroustrup · 진행자 Lex FridmanThe creator of C++ traces how Simula's user-defined types shaped his language, and why he builds for constrained, long-lived systems.
11:59ENLex Fridman팟캐스트 · 2명From a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Be게스트 François Chollet · 진행자 Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.