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1:05:45ENCyrus 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.
1:34:36ENNate 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.
46:35ENJon 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.
1:12:58ENChris 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.
1:01:23ENWill Crichton on Making Rust More UnderstandableWill Crichton · Brown UniversityOwnership visualizations, interactive trait diagnostics and program slicing illustrate an evidence-based approach to developer tools.
1:27:41ENRon Minsky on the Saga of Multicore OCaml at Jane StreetRon Minsky · Jane StreetA production migration exposed garbage-collector regressions, led to a new pacing design, and illustrated the difficulty of turning research into reliable infrastructure.
1:19:40ENIan Henry on Building Trader Tools, Functional UIs and Creative CodingRon Minsky, Ian Henry · Jane StreetFrom high-density options interfaces to a 3D playground, Ian Henry and Ron Minsky explore the software choices that make complex tools usable.
40:33ENCharlie Marsh on uv: Python Dependency Resolution and PerformanceCharlie Marsh · AstralThe Astral founder explains universal lockfiles, Python packaging constraints, and the data structures and cache design behind uv.
55:34ENAndrew Hunter on Performance Engineering for Low-Latency SystemsRon Minsky, Andrew Hunter · Jane StreetWhy small optimizations pay at hyperscale, why trading latency is harder to measure, and how profiling, tracing, language design and hardware fit together.
1:22:34ENStephen Dolan on Memory Management, Garbage Collection, and OCamlRon 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 SystemsRon Minsky, Anil Madhavapeddy · Jane StreetFrom Xen and unikernels to OCaml's multicore research, a systems researcher explains how changing abstractions reshape infrastructure.
59:33ENLaurent Mazare on Python, OCaml and Machine LearningRon Minsky, Laurent Mazare · Jane StreetA researcher compares exploratory notebooks with robust production systems, and explains how language interoperability and resource management connect the two.
1:10:27ENGreta Yorsh on Compiler Optimization and FeedbackRon Minsky, Greta Yorsh · Jane StreetFrom formal verification and superoptimization to profile-guided code layout, a compiler engineer explains how performance work meets real users.
59:26ENAndy Ray on FPGAs, Hardware Design and HardcamlYaron Minsky, Andy Ray · Jane StreetJane Street’s hardware design lead explains why programmable circuits can improve performance and how software tooling makes them easier to build and test.
47:18ENUnboxed Types and Memory Layouts for OCamlStephen · Jane StreetStephen explains a proposed type-system extension for controlling data representation while retaining OCaml’s fast separate compilation.
1:14:23ENCristina Rosu: Building Dynamic OCaml Web Apps with Incr_domCristina Rosu · Jane StreetA practical introduction to the Elm architecture, virtual DOM and incremental computation, followed by a live counter-app demonstration.
1:02:34ENAndy Ray on Designing and Running OCaml on FPGAsAndy Ray · Jane StreetHardCaml turns OCaml into a hardware design language. Andy Ray explains FPGA fundamentals, simulation and verification, then demonstrates an OCaml software stack running on a soft CPU.
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.