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9:02ENDario Amodei’s 2025 AI Coding Forecast and Matthew Berman’s ResponseMatthew Berman, Dario Amodei, Mark Zuckerberg · Forward FutureBerman considers a rapid forecast for AI-written code, the rise of coding agents, and speculative longer-term changes to software work.
59:46ENIn Young Cho on Trading Research and Finding Signal in Financial DataYaron Minsky, In Young Cho · Jane StreetIn Young Cho and Ron Minsky discuss the blurred lines between trading, research, and engineering, and why machine learning in markets is difficult.
12:43ENHow OCaml Represents Values in MemoryA practical tour of immediate integers, heap blocks, runtime tags and variant constructors, illustrated with OCaml's Obj module.
48:30EN
20VC with Harry Stebbings· 29 nov 2024Pódcast · 2 vocesGuy Podjarny on AI Coding Tools and the Future of Software DevelopmentInvitado: Guy Podjarny · Presenta: Harry StebbingsThe Tessl CEO examines coding assistants, agentic development, security and the business choices surrounding AI.
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.
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.
53:51ENLiora Friedberg on Solving Puzzles in ProductionYaron Minsky, Liora Friedberg · Jane StreetProduction engineering combines live incident response with software, process improvements and a culture that helps people learn from mistakes. Liora Friedberg and Ron Minsky explore the work at Jane Street.
9:25ENRichard Eisenberg: Using OCaml’s Coercion OperatorRichard Eisenberg · Jane StreetA practical tour of subtyping, polymorphic variants and private type abbreviations, with no runtime conversion cost.
8:06ENHow OCaml's Proposed Include Functor Syntax Reduces RepetitionA reverse-array example shows how to derive common module functions from a minimal implementation without an extra wrapper module.
1:07:34EN
Sequoia Capital· 6 ago 2024PódcastGitHub Didn’t Believe Copilot Was Writing 25% of the CodeThomas Dohmke tells Sequoia how an unplanned GPT-3 experiment became Copilot, why GitHub still will not train its own foundation model, and how he wants a billion people writing software by 2030.
1:03:36ENErin Murphy on Designing Tools for Expert UsersYaron Minsky, Erin Murphy · Jane StreetFrom NASA scientists to Jane Street engineers, a UX designer explains how observation, drawing and collaboration reveal what complex tools need to do.
14:36ENProgramming with OCaml's Local ModeAn example shows how a local list can contain global values, why a non-escaping annotation alone does not ensure stack allocation, and where the experimental feature remains awkward.
11:28ENOCaml Local Types: Regional Parameters and Loop RegionsA demonstration explains why some local parameters can cross a function boundary and how loop regions reclaim allocations.
9:14ENOCaml Local Function Types: Why Partial Application Can EscapeRichard Eisenberg · Jane StreetRichard Eisenberg uses a list-append example to show how a local argument changes the mode of a partially applied function in Jane Street’s OCaml compiler branch.
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.
13:59ENSWE-agent Tutorial: Navigating Repositories and Attempting GitHub FixesMatthew Berman, Carlos · Forward FutureMatthew Berman sets up a research coding agent, hits an installation problem and a cost limit, then shows an author’s successful SymPy benchmark example.
14:23ENTesting DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.
3:30ENRichard Eisenberg on Jane Street's OCaml ExperimentsRichard Eisenberg · Jane StreetJane Street's compiler team is exploring unboxed types, locality modes, and data-race-free parallelism to make OCaml's performance and memory management better suited to its needs.
11:07ENHow OCaml Locals Use a Separate StackA list example shows how region-scoped local values can avoid repeated garbage-collected allocations.
55:29ENBuilding a CrewAI Newsletter Team: Scraping, Summarizing and DebuggingMatthew Berman, Joe · Forward FutureMatthew Berman builds a two-agent newsletter prototype, works through input and scraping errors, and shows what still needs to be fixed.
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.
12:52ENOCaml Local Variables, Return Values and RegionsA worked example shows how `local_` and `exclave_` let a function accept a local value and return a local structure in its caller's region.
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