Amazing project that trained the GPT-2 language model on text adventure games, producing a game that allows arbitrary prompts!
Game: https://aidungeon.io/
About: https://pcc.cs.byu.edu/2019/11/21/ai-dungeon-2-creating-infinitely-generated-text-adventures-with-deep-learning-language-models/
(Ironic that a text game has large GPU requirements to run too.)
miniblog.
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It's a small thing, but I'm much happier with the output of --version in the latest version of difftastic.
It shows the release version number, the commit hash, and the commit date. This gives you a sense of the age of release, but you still have a reproducible build (unlike build time).
It also shows OS, arch and compiler, because those are common requirements in bug reports.
A nifty "skill tree" approach to mapping out the requirements in Rust's trait solver: https://rust-lang.github.io/wg-traits/roadmap/skill-tree.html
(From https://blog.rust-lang.org/inside-rust/2020/03/28/traits-sprint-1.html)
Chromium exploring using Rust, discussing their safety, ergonomic and performance requirements: