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27:39EN3Blue1Brown and Jane Street on Trading, Machine Learning and CultureGrant Sanderson, Nitya, In Young, Craig, Alok · 3Blue1BrownGrant Sanderson talks with Jane Street colleagues about market making, shared compute, research and the paths that brought them to the firm.
29:36ENJane 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.
15:48ENInside 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.
1:00:15ENArjun 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.
47:43ENMaking 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.
55:03ENNeil 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.
2:27ENWhat Jane Street Interns and Recruiters Say About ApplyingInterns and recruiters describe the application process, problem-solving interviews, and how they think about finance experience.
5:13ENHow Jane Street’s Accounting Team WorksCarmen, Ava, Hannah · Jane StreetAccounting staff describe shared responsibilities, automation, early involvement in decisions and growth in a flat organization.
4:51ENHow Jane Street’s Creative Engagement Team Shapes Company CultureTala, Lana · Jane StreetTeam members describe how events, design and digital projects bring colleagues together and introduce the firm to new people.
2:13ENInterns Describe Jane Street's 2022 Internship ProgramParticipants reflect on learning, project ownership, colleagues, and discovering possible career paths during their internships.
4:11ENInside Production Engineering at Jane StreetMark, Liora, Joseph · Jane StreetThree engineers describe the balance between resolving live issues and building software that makes support more effective.
25:42ENGraham and Andrea Work Through a Trading Mock InterviewMichael, Graham, Andrea · Jane StreetA 20-sided die game shows how a trading interview can develop through clarification, quantitative estimates and collaborative problem-solving.
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.
1:05:06ENRaph Levien: GPU Compute, Functional Design, and a 2D RendererRaph LevienA tour of GPU execution and memory explains why parallel rendering needs more than simply assigning one thread to every pixel.
1:33:13ENDon Jones on PowerShell, Career Growth, and the First FollowerDon Jones · PluralsightPowerShell educator Don Jones reflects on writing small composable tools, building a resilient career, and helping others join a community.
1:03:45ENJane Street and the OCaml CompilerYaron Minsky · Jane StreetRon Minsky traces an accidental language adoption into a long-term commitment to compiler engineering and a shared open-source ecosystem.
1:06:51ENMarius Eriksen: Reflow for Incremental Cloud Data ProcessingMarius Eriksen · GRAILA functional language and runtime turn data workflows into typed programs, reuse prior results and provision cloud resources on demand.
1:13:25ENNate Foster: Verifying Programmable Network Data PlanesNate Foster, Ron · Cornell UniversityHow p4v applies program verification to packet-processing code, and why its conclusions depend on control-plane assumptions.
1:38:23ENYudkowsky and Hanson Debate Whether an Intelligence Explosion Would Be LocalEliezer Yudkowsky, Robin HansonA historical debate about self-improving AI, accumulated knowledge, innovation and whether a first mover could gain a decisive lead.
59:14ENArjun Guha on Verifying System ConfigurationsArjun Guha · UMass AmherstPuppet manifests can be declarative yet nondeterministic or non-idempotent. A verification tool models resource interactions to find those problems.