A Robot the Size of the World
We’re going to start connecting those LLMs and other AI systems to both sensors and actuators. In other words, they will be connected to the larger world, through APIs. They will receive direct inputs from our environment, in all the forms I thought about in 2016. And they will increasingly control our environment, through IoT devices and beyond.
Bruce Schneier
https://www.schneier.com/blog/archives/2023/12/a-robot-the-size-of-the-world.html
@corlin Can confirm. I see one impedance factor for now is the high cost of setting up machine learning systems to work on the 20% (Pareto) of cases they _might_ be useful. Usual analysis works fine on 80+% of issues. Sensor anomalies/motor health blips/weird stuff are rare; machine learning approaches need data so are weak on rare problems.
Someone'll do it anyway and chip away on the cost and accumulate more data.