> They'd also have to be self-assembling from the ground up or rely on human slaves. They'd need to understand the world much better. And they'd have to be incr

> They'd also have to be self-assembling from the ground up or rely on human slaves. They'd need to understand the world much better. And they'd have to be incredibly more power efficient. All robotics needs to drive deployment at scale is (1) useful intelligence & (2) performing novel valuable functions. Both of these are satisfied by current tech (LLM + sensors + robotics) and the existing simplest use cases (assembly lines and repetitive tasks). LLMs get you a moderately-intelligent, mostly-reliable orchestration layer of intelligence on top of deterministic hard robotics. And that's enough for a lot of failure-tolerant, feedback-looped cases. E.g. reading 20 dials in a factory throughout the day or monitoring a production line visually, then figuring out what to do about a problem, then effecting that plan. It'll be deployed in heavily utilized spaces at first, but will eventually trickle down throughout the economy. And that will be when 'control over robots' starts to be an existential threat, for denial of critical services at the minimum. And all of this will inevitably roll out as long as ROI is positive, because that's the way the world works.