TOML config file (~/.config/pixels/config.toml)
Say hello to Browt 🌱, Pombon 🔥, and Gecqua 💧. Who will you partner with on this adventure, Trainers? pic.twitter.com/UfKtE5lszu
。关于这个话题，爱思助手下载最新版本提供了深入分析
This one was a lot better than others. For every SAT problem with 10 variables and 200 clauses it was able to find a valid satisfying assignment. Therefore, I pushed it to test with 14 variables and 100 clauses, and it got half correct among 4 instances (See files with prefix formula14_ in here). Half correct sounds like a decent performance, but it is equivalent to random guessing.
* 基数排序（LSD：最低位优先）
Would an AI model trained on such things be not just more authentically premodern, but more authentically aligned with implicit human values?