
Radical Candor: An Experience Report
Exploring the challenges of measuring success as a manager and the benefits of radical candor.

Better language models and their implications
Exploring the impact of advanced language models on various industries

Computational limitations in robust classification and win-win results
Exploring computational limitations in robust classification and achieving win-win results.

Playing Atari Games with OCaml and Deep Reinforcement Learning
Using OCaml to implement deep reinforcement learning experiments.

L2 Regularization and Batch Norm
An exploration of the interaction between L2 regularization and batch normalization in machine learning.

Garbage Collection in Redux Applications
Garbage collection in Redux applications on the SoundCloud Xbox application running on Microsoft's UWP framework.

A tutorial for building web applications with Incr_dom
A tutorial on building web applications with Incr_dom, an in-house framework at Jane Street, modeled after React's virtual DOM and built on top of Incremental for efficient rendering.

OpenAI Fellows Summer 2018: Final projects
Highlights of the OpenAI Fellows Summer 2018 final projects

How AI training scales
Exploring the scalability of AI training methods in depth

Capstone: A tablet for thinking
Exploring Capstone, a tablet that facilitates a two-step creative process through the use of cards and inking on a freeform canvas.

Quantifying generalization in reinforcement learning
Exploring the quantification of generalization in reinforcement learning.

Integration Testing for Memory Leaks
A discussion on integration testing techniques for identifying and preventing memory leaks in iOS applications.