Give a human kid a piece of paper and an envelope and say "make it fit" and roughly 1 out of 5 will fail because they have not yet had the opportunity to watch their parents fold a letter.
For your example, I see an upfront memorization component, which is that your request only works with humans that have previously seen how tea is made. That would be an unsuperwised AI which watches a youtube tutorial and then reduces the task to "get hot water + get tea bag + get container + combine"
Please note how by cultural memorization is again implicitly added. I might use a trash can as the container, but due to our shared culture we'll agree that a mug works best. So this gets reduced with more unsupervised AI to resolve "container" to a list of tolerable objects.
Next comes an exploration phase where human and robot just randomly open cupboards to see what is inside. YOLO should be good enough to recognize the water cooker, the tea bags, and the mug.
Next up comes again memorization. Kids cannot reliably turn on a machine that they have not seen before, so intelligence is probably of little use. Instead, they learn by imitating. An AI would probably again crawl random YouTube videos, check that the cooker looks similarly, then try to imitate that.
I hope I have illustrated that a lot of what we think of as understanding is not much more than repeating a similar situation which we have previously experienced.
That would also be my theory as to why meditating and thinking about an action can actually improve our skill at doing it. We're memorizing a fantasy simulation.
For your example, I see an upfront memorization component, which is that your request only works with humans that have previously seen how tea is made. That would be an unsuperwised AI which watches a youtube tutorial and then reduces the task to "get hot water + get tea bag + get container + combine"
Please note how by cultural memorization is again implicitly added. I might use a trash can as the container, but due to our shared culture we'll agree that a mug works best. So this gets reduced with more unsupervised AI to resolve "container" to a list of tolerable objects.
Next comes an exploration phase where human and robot just randomly open cupboards to see what is inside. YOLO should be good enough to recognize the water cooker, the tea bags, and the mug.
Next up comes again memorization. Kids cannot reliably turn on a machine that they have not seen before, so intelligence is probably of little use. Instead, they learn by imitating. An AI would probably again crawl random YouTube videos, check that the cooker looks similarly, then try to imitate that.
I hope I have illustrated that a lot of what we think of as understanding is not much more than repeating a similar situation which we have previously experienced.
That would also be my theory as to why meditating and thinking about an action can actually improve our skill at doing it. We're memorizing a fantasy simulation.