There’s physics for one. The dough takes the temperature and time it takes to bake in the oven, the rocket needs certain ampunt of propulsion to fly etc.

▲

_puk 2 days ago | parent [-]

So, the "it'll get better" is the robot pizza learning.

There's no reason it won't improve because we know that there is actually a world in which amazing pizzas exist.

Teleporters seems a rather random comparison for the sibling reply

▲

delis-thumbs-7e 2 days ago | parent [-]

I talked about rockets, not ”teleporters”. I also let aside that these systems do not learn, let’s pretend they do. What will it improve in? What does it mean to ”improve”? Ask yourself, what makes the difference between an amazing pizza and kinda ok pizza? How do you quantify that? Is it a binary value the way a mathematic formula either works or doesn’t, or how code runs or does not? Or is it more like poetry? kinda hard to srite into code when something that is literally a matter of taste is ”good”.

Maybe it doesn’t really matter, Marinara is pretty easy to make, 5 ingredients in an oven. Can we improve upen speed, like they say on the article? Up to a point yes, but there’s a bottleneck, the dough itself. It takes certain amount of time to make it into a oval shape, you can’t go too fast, since you break it. And then it has to be in the oven a certain amount of time, no matter what. That has nothing to do with automation, but the physical facts of the matter itself.

Now you have an average pizza that cost a fortune to make, but we accomplished it slightly faster than $10/h pizza chef. You see why those startups all fold?

	▲	_puk a day ago \| parent [-]
		What makes an amazing coffee? That's a truly dialled in experience based on many iterations and fine control of input factors. That's the parallel I'm envisaging. Robo pizza doesn't need to mean 30 second pizza. Just a perfect pizza at the end of the process with no humans involved. I see that as infinitely achievable.