one thing i think people dont appreciate enough about @poolsideai is their unusual degree of openness - not only have they shipped an excellent Small model that somehow beat @thinkymachines at coding， but most people （like @eliebakouch） have been shouting out their excellent papers， but also they're among a rare few to actually expose their full eval dataset as well - beautifully published， with across 6 public benchmarks with 4 runs each and hundreds of turns per run. you can satisfy for yourself if they rewardhack. brilliant.