Building a Foundation Stack for General-Purpose Robots
TL;DR
This article is brought to you by X Square Robot. Large language models gave artificial intelligence a working recipe. Pretrain a large model on broad data, and general capability follows. Robotics has no such recipe.
Nauti's Take
For small teams, this is mainly a source-quality check: the story lays out a clear architectural bet, but not proof that the stack holds up across messy real-world tasks. If you are evaluating robotics workflows, verify data provenance, sim-to-real performance, and failure rates outside curated demos first.