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슬라이드 6장15:33EN
Jane Street· 2026년 10월 26일Figgie Strategy: Reading Hands, Winning Majorities and Pricing CardsBradley, Mike · Jane StreetJane Street traders Bradley and Mike analyze three games to show how private information, market competition and timing affect card prices.Decision MakingMathematicsFintech
1:48:29EN
Jane Street· 2026년 10월 16일How AI Is Changing Programming: John Crepezzi and Ron MinskyYaron Minsky, John Crepezzi · Jane StreetJane Street’s AI tooling lead and the Signals and Threads host examine agent infrastructure, security, code review and the changing experience of writing software.코딩 에이전트Developer productivity평가(Evals)+2
1:36:37EN
Jane Street· 2026년 9월 23일Aaron Bauer on Teaching Software Engineering in the Age of AIYaron Minsky, Aaron Bauer · Jane StreetHow learning goals, active practice and editor design shape engineering education when models can generate the code.AI in EducationSoftware engineeringEducation+2
슬라이드 9장1:05:45EN
Jane Street· 2026년 9월 11일Cyrus Omar on Live Programming and a Computational Commons for Humans and AICyrus OmarA demonstration of Hazel shows how immediate feedback, structured collaboration and carefully scoped permissions could support people and AI agents working together.Programming LanguagesHuman-AI Collaboration개발 워크플로와 테스트+2
1:25:00EN
Jane Street· 2026년 9월 2일Eric Mannes on Turning Messy External Data Into Trading ResearchYaron Minsky, Eric Mannes · Jane StreetFrom commodity futures and an Excel risk system to point-in-time datasets and AI, Eric Mannes explains the domain knowledge behind data engineering at Jane Street.Data quality & curation개발 워크플로와 테스트Investing+2
슬라이드 7장1:16:29EN
Jane Street· 2026년 8월 26일Grant Sanderson and Alok Puranik: Positional Encodings Through Group TheoryGrant Sanderson, Alok Puranik · 3Blue1BrownStarting with assumptions about attention, they derive matrix exponentials and connect rotations, decay and Jordan blocks to RoPE and ALiBi.Transformers & attentionMathematics머신러닝 기초+1
27:39EN
Jane Street· 2026년 8월 21일3Blue1Brown and Jane Street on Trading, Machine Learning and CultureGrant Sanderson, Nitya, In Young Cho, Craig, Alok Puranik · 3Blue1BrownGrant Sanderson talks with Jane Street colleagues about market making, shared compute, research and the paths that brought them to the firm.Machine LearningFintechCompany Culture+2
4:41EN
Jane Street· 2026년 7월 6일Inside 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.CareersCompany CultureMachine Learning+1
1:34:29EN
Jane Street· 2026년 6월 24일Jacob Baskin on Building Superstore and Scheduling the HiveYaron Minsky, Jacob Baskin · Jane StreetThe Jane Street engineer traces the design choices behind a distributed analytical database and the challenge of allocating a growing research cluster.인프라와 배포Software engineeringDecision Making+1
1:34:36EN
Jane Street· 2026년 6월 1일Nate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.인프라와 배포Programming LanguagesSoftware engineering+2
29:36EN
Jane Street· 2026년 5월 21일Jane Street on GPU Infrastructure, Trading and HiringDwarkesh Patel, Yaron Minsky, Daniel Pontecorvo · Dwarkesh PatelDwarkesh Patel speaks with Ron Minsky and Dan Pontecorvo about trading at different speeds, building data centers and expanding compute and teams.GPU programming & kernels인프라와 배포Machine Learning+2
슬라이드 5장15:48EN
Jane Street· 2026년 5월 15일Inside Jane Street’s Texas AI Data CenterDwarkesh Patel, Yaron Minsky, Daniel Pontecorvo · Dwarkesh PatelDwarkesh Patel tours a 4,032-GPU training facility with Ron Minsky and Dan Pontecorvo, examining liquid cooling, power distribution and operational safeguards.인프라와 배포AI cost & performance
슬라이드 5장1:08:22EN
Jane Street· 2026년 4월 10일Mark Doss on Production Engineering for High-Stakes TradingMark Doss · Jane StreetWhy every order matters, how event-based monitoring detects unexpected failures, and what a realistic incident reveals about trading operations.관측 가능성과 안정성인프라와 배포Software engineering+2
슬라이드 7장46:35EN
Jane Street· 2026년 3월 25일Jon Gjengset on the Cost of Concurrency CoordinationJon GjengsetWhy shared cache lines can make even read-heavy locks slow, and how a different data structure trades writer work for scalable reads.Software engineeringProgramming Languages
1:48:21EN
Jane Street· 2026년 3월 17일Will Wilson on Deterministic Simulation and the Hard Problems of Software TestingYaron Minsky, Will Wilson · Jane StreetThe Antithesis co-founder explains how replayable simulations explore complex software, why properties matter and where testing meets its limits.개발 워크플로와 테스트Software engineeringCode review & verification+2
슬라이드 5장1:22:49EN
Jane Street· 2026년 1월 31일Bryan Cantrill: Why Software and Hardware Must Be Designed TogetherBryan Cantrill · Oxide Computer CompanyFrom a stubborn CPU reset to disappearing drives, Oxide’s cofounder makes the case for designing and debugging computing systems across the hardware–software boundary.Software engineering인프라와 배포관측 가능성과 안정성+2
슬라이드 7장1:20:57EN
Jane Street· 2025년 12월 23일Matt Godbolt: Inside Skylake’s Out-of-Order PipelineMatt GodboltA guided tour of instruction decoding, register renaming, execution and memory ordering, grounded in reverse engineering and careful measurements.SemiconductorsSoftware engineeringBenchmarks
슬라이드 7장1:00:15EN
Jane Street· 2025년 12월 17일Arjun Guha on How Language Models Represent Code and How People Prompt ThemArjun Guha · Northeastern UniversityExperiments with activation steering and student-written prompts reveal how programming models behave—and why evaluating them requires more than a single benchmark score.Programming LanguagesModel Interpretability코딩 에이전트+2
슬라이드 5장47:43EN
Jane Street· 2025년 11월 11일Making GPU Training Faster: Pipelines, Fusion and Custom KernelsCorwin de Zahr, Sylvain Gugger · Jane StreetTwo Jane Street speakers explain how to diagnose idle GPUs, reduce memory traffic and build a parallel reduction kernel.GPU programming & kernels모델과 학습Software engineering
슬라이드 9장55:03EN
Jane Street· 2025년 10월 29일Neil Mitchell: How Pyrefly Checks Python at ScaleNeil Mitchell, Roman · MetaA tour of Python's type system and the incremental architecture behind a fast, open-source checker and language server.Software engineeringOpen-source ecosystems
슬라이드 9장52:05EN
Jane Street· 2025년 10월 24일Corwin de Zahr: Exploring OCaml Runtime Safety Through a CTF ChallengeCorwin de Zahr · Jane StreetA deliberately restricted OCaml sandbox becomes a way to examine type safety, callbacks, memory representation and binary debugging.Programming LanguagesCybersecuritySoftware engineering
1:12:58EN
Jane Street· 2025년 9월 4일Chris Lattner on Mojo and the Search for Portable GPU PerformanceYaron Minsky, Chris Lattner · Jane StreetRon Minsky and Chris Lattner discuss the language and compiler design behind Modular’s effort to make accelerator programming both portable and fast.Programming LanguagesGPU programming & kernelsSoftware engineering+1
슬라이드 11장1:01:23EN
Jane Street· 2025년 8월 27일Will Crichton on Making Rust More UnderstandableWill Crichton · Brown UniversityOwnership visualizations, interactive trait diagnostics and program slicing illustrate an evidence-based approach to developer tools.Programming LanguagesSoftware engineering개발 워크플로와 테스트+1
58:47EN
Jane Street· 2025년 7월 28일Daniel Pontecorvo on Cooling Trading Infrastructure and WorkspacesYaron Minsky, Daniel Pontecorvo · Jane StreetFrom dense GPU racks to movable desks, Jane Street’s physical engineering team designs around heat, power, failure and human comfort.인프라와 배포Energy관측 가능성과 안정성+1
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