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15:33ENFiggie 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.
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, Ron Minsky, Dan 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.
27:16ENTudor Brindus on Finding and Reducing System JitterTudor Brindus · Jane StreetA memory ping-pong benchmark reveals how virtualization, interrupts, CPU frequency changes and speculation can disrupt low-latency systems.
15:59ENTail Calls and Local Regions in OCamlA list-counting example reveals why a local closure can escape at a tail call, and how regional mode and [@nontail] affect the result.
23:25ENRichard Eisenberg: How OCaml Locals Reduce Garbage-Collected AllocationRichard Eisenberg · Jane StreetAn annotated list-processing example shows why locality must be preserved both when values are created and when functions consume them.
22:27ENHow OCaml Infers LocalityA look at local and global mode inference, module signatures, mode crossing for integers, and conversions between function types.
15:17ENOCaml Locals, Modes, and SubmodingA worked explanation of how local and global modes control escaping values, and how those modes interact with function types.
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.
25:44ENWhy Functional Programming Matters at Jane StreetA Jane Street developer revisits John Hughes’s classic argument and explains why expressive static types rank highest for trading systems.
28:31ENIncremental: Self-Adjusting Computations in OCamlSebastian · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.
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.