miniblog.

Fascinating talk on applying deep learning to detecting cheaters in CS:GO https://www.youtube.com/watch?v=kTiP0zKF9bc The presenter discusses how they get machine-readable data out of matches, and how they still keep a human in the loop (ML just feeds the human analysis component).

Interesting people keep popping up on the difftastic issue tracker. Here's a discussion of applying structural diff techniques to language-aware merging:

Applying PGO to rustc (on both LLVM and the Rust-based frontend) can provide a ~10% improvement to compile time! https://blog.rust-lang.org/inside-rust/2020/11/11/exploring-pgo-for-the-rust-compiler.html This has been recently merged to Rust's CI: