When you're building a company like this, and you're trying to get product market fit,

you have to find the place where your product can provide the most value in the short-to-mid term,

so you have customers, but at the same time, looking at the long-term, what's the biggest opportunity?

In a way, you're being reinforcement learned as the founder here.

The same way the chess robot we're talking about in terms of reinforcement learning.

You could play the short game, which is, hey, we got to get into factories and figure out how to move

these Dorito chips and batteries into the boxes without crushing them, and quickly 24 hours a day,

if you're under 65 days a year. But also, hey, winning the game could mean maybe losing some

customers with building that general purpose robot that you could put a hundred of them into a factory

and just say, go find work. It is really an interesting concept. This week in startups is brought to you

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All right, one of the most interesting angles for artificial intelligence is how they might

impact robots in the real world. Now, of course, robotics has been going on forever. You've been seeing

Boston Dynamics or Cafe X making coffee or little tiny robots, the Roomba going around your house

and vacuuming. Maybe you've seen the automation at an Amazon factory, incredible to watch.

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