> When taking a shower, I would like fine control over the water temperature, preferably with a feedback loop regulating the temperature. (Preferably also the regulation changes over the duration of the showering.)

That exists, but it’s expensive because of the electronics and mechanics involved. There are so many interfaces with this exact problem.

You also almost certainly don’t want non-deterministic hallucination prone AI controlling physical systems.

Maybe I misunderstood the op, but isn’t the mechanical faucet and our body’s temperature receptors this “fine control with feedback loop”?

Indeed, and to take the UI a step further, humans often prefer automation, if it works reliable. A complicated UI would become simple, just step into the shower.

There’s no complicated UI. You just turn a knob that sets a digital temperature readout.

If you want the shower to save your temperature preferences and start automatically, there’s no reason to build in a computer capable of running an AI.

But in reality you almost certainly don’t want a system like this because you don’t want an AI accidentally turning on your shower when you’re not home, when you do ok to clean it, or grab a razor, or when your toddler wanders in.

Granted an AI could try to determine intent, but it’s never going to get it 100% right. Which is why for physical systems like this you almost always want a physical button to signal intent.

Prompt engineering and using multiple AI models in parallel might find ways to cancel out most hallucinations similar to how consensus-based replication works.

It might. If hallucinations are truly random and not correlated to anything shared between models. For example, something inherent to the data they are trained on. Given how locked down I think potential training data is going to become, and the amount of data required, I think that sharing data between models is almost guaranteed.

Also that sounds like an awful lot of computing power for everyday UIs. It also doesn’t solve the non determinism problem.

It would become less expensive, using less sensors and actuators, when using the predictive and learning abilities of an ai. You can, for safety reasons, keep a mechanical temperature limiter in the loop.

My background is in embedded systems. There is absolutely no way that an AI could make a temperature controlled shower cheaper.

There’s no way to use fewer actuators, and the control system is already dead simple, and uses one temperature sensor per outlet.

Temperature can be measured in different ways. IR radiation and sound can be measured from a distance. The relationship between temperature at the source, of the water exiting the showerhead and time can be learned. Water can be heated in different ways. The valve could also be a pump. Our reaction to the temperature of the water can be sensed.

Who knows, AI can come up with simpler or cheaper solutions that did not cross our mind. I would say, time will tell.

AI might also invent sonic showers, or teleportation to beam the dirt away.

The lack of AI isn’t what’s holding back your dream of a temperature controlled shower in every house.