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167개정렬
4:36ENTesting WizardCoder 15B as a Local Coding AssistantMatthew Berman · Forward FutureMatthew Berman runs the 2023 WizardCoder model locally, testing small Python exercises and a longer Snake game.
3:34:03ENPython Isn't Finished: Chris Lattner on Mojo and the Hardware Mess게스트 Chris Lattner · 진행자 Lex FridmanThe LLVM creator returns to Lex Fridman to argue that Python should grow C-like performance instead of forcing people out of the language.
7:37ENSmol Developer: Generating a Small Python Project From a PromptMatthew Berman · Forward FutureMatthew Berman walks through a 2023 project generator, from a simple Ruby example to a multi-file ChatGPT API program.
5:49ENIan on Software Engineering at Jane StreetIan · Jane StreetA London desk developer explains code review, OCaml training, intern projects and the feedback that comes from sitting near users.
59:38ENRichard Eisenberg on Dependent Types, OCaml, and AI-Assisted ProgrammingYaron Minsky, Richard Eisenberg · Jane StreetHow type systems can express correctness and performance, and why precise, readable specifications still matter when AI writes code.
3:48ENVal on Software Engineering and Collaboration at Jane StreetVal · Jane StreetA London developer explains how colleagues teach new hires, review production code, and work across teams.
3:30ENBrittany on Software Engineering and Internships at Jane StreetBrittany · Jane StreetAn equities desk engineer explains how interns learn finance and OCaml, contribute meaningful projects and collaborate with traders.
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.
37:24ENGrace and Nolen's Software Engineering Mock InterviewGrace, Nolen · Jane StreetA unit-conversion graph illustrates how Jane Street interviewers discuss design, code, errors and communication with a candidate.
3:15:51ENPython Is a Recipe Written for Two Readers게스트 Guido van Rossum · 진행자 Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.
4:11ENInside Production Engineering at Jane StreetMark, Liora Friedberg, Joseph · Jane StreetThree engineers describe the balance between resolving live issues and building software that makes support more effective.
1:00:28ENElla Ehrlich on Modernizing a Critical Trading SystemYaron Minsky, Ella Ehrlich · Jane StreetJane Street’s Gord team rebuilt parts of a legacy data pipeline while preserving availability, and Ehrlich describes the recruiting programs she helped develop.
5:14:50ENThe best programming language is the one you already use게스트 John Carmack · 진행자 Lex FridmanJohn Carmack talks with Lex Fridman about languages, id Software, VR, rockets, and why AGI might be tens of thousands of lines of code.
1:12:09ENDoug Patti on State Machine Replication at Jane StreetYaron Minsky, Doug Patti · Jane StreetHow Concord and Aria use ordered logs and deterministic state machines to build recoverable trading services.
1:22:34ENStephen Dolan on Memory Management, Garbage Collection, and OCamlYaron Minsky, Stephen Dolan · Jane StreetFrom tracing and reference counting to prefetching, local allocation and unboxed types, Dolan explains the tradeoffs behind safe, efficient memory management.
1:01:11ENAnil Madhavapeddy on MirageOS and the Evolution of Operating SystemsYaron Minsky, Anil Madhavapeddy · Jane StreetFrom Xen and unikernels to OCaml's multicore research, a systems researcher explains how changing abstractions reshape infrastructure.
1:00:04ENTy Overby on Bonsai and Building Functional User InterfacesYaron Minsky, Ty Overby · Jane StreetWhy Jane Street built a composable OCaml UI framework, and what its design reveals about incremental computation, browsers, and visual programming.
3:05:24ENTravis Oliphant wrote NumPy in an empty semester — and still wants open source to pay게스트 Travis Oliphant · 진행자 Lex FridmanThe creator of NumPy, SciPy, and Anaconda tells Lex Fridman how array thinking, a priced book, and the packaging wars shaped scientific Python.
2:21:27ENThe IBM Manual Was So Bad He Became a Computer Scientist게스트 Donald Knuth · 진행자 Lex FridmanDonald Knuth talks with Lex Fridman about first programs on an IBM 650, literate programming, the Knuth-Morris-Pratt algorithm, and the hardest theorem he ever proved.
1:00:58ENJames Somers on Technical Writing, Software and RevisionYaron Minsky, James Somers · Jane StreetJane Street’s writer-in-residence discusses documentation as shared knowledge, the tools that keep it useful, and the craft of writing for real readers.
1:02:52ENInside Jane Street’s Software Engineering InternshipYaron Minsky, Jeanne Van Briesen, Matt Else, Grace Zhang · Jane StreetThree former interns describe the real projects, mentorship and decisions that shaped their transition to full-time engineering.
2:46:57ENProgramming Languages Are Bicycles for the Mind게스트 Chris Lattner · 진행자 Lex FridmanChris Lattner talks with Lex Fridman about Swift, LLVM, RISC-V, and why the next leap in computing is as much a language problem as a silicon one.
44:34ENChris Perl on Keeping Network Clocks in SyncYaron Minsky, Chris Perl · Jane StreetHow NTP, PTP and hardware timestamps work together to keep Jane Street’s clocks within a measurable error bound.
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.
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