AI can be trained on some special knowledge of person A and another special knowledge of person B. These two persons may never met before and therefore they can not combine their knowledge to get some new knowledge or insight.
AI can do it fine as it knows A and B. And that is knowledge creation.
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I saw such robot's demos doing exactly that on youtube/x - not very precisely yet, but almost sufficiently enough. And it is just a beginning. Considering that majority of the laundry is very similar (shirts, t-shirts, trousers, etc..) I think this will be solved soon with enough training.
Can you share what you've seen? Because from what I've seen, I'm far from convinced. E.g. there is this, https://youtube.com/shorts/CICq5klTomY , which nominally does what I've described. Still, as impressive as that is, I think the distance from what that robot does to what a human can do is a lot farther than it seems. Besides noticing that the folded clothes are more like a neatly arranged pile, what about all the edge cases? What about static cling? Can it match socks? What if something gets stuck in the dryer?
I'm just very wary of looking at that video and saying "Look! It's 90% of the way there! And think how fast AI advances!", because that critical last 10% can often be harder than the first 90% and then some.
Yes, the less sharp angle of the described bike-lane would imply that biker can get into the sidewalk in high speed without issue and harm a pedestrian easier.
Yeah, that's why when pedestrians have to cross where cars are that there is always a stop sign to make sure their high speed won't harm a pedestrian /sarcasm.
That is true, but it is not directly related to this issue. SpaceX doesn't (can't) reuse second stages. (For now.) The one in question which had the anomaly was a "brand new" second stage.
It is more likely that either this is due to a defect which escaped their QA, or a design issue with a very low probability rolling a nat-1 this time, or some change they introduced not working out as they expected. I would not describe any of those as "aging".
Yes, when I bought a few LED lights from Aliexpress (years ago), they got broken in a few months. But I have philips LED light since ~2012 and that still works without any problem.
My experience:
Our last two washer lasted for 20 years each. We have only third one now and first one did not break :)
I have bought many (6) smartphones and non has broken during my usage and also after I passed them to others.
We have 4th TV at home and each one was fully working when we replaced it after ~ 10 years. Current one (Sony), our first LCD is from 2012 and works perfectly (with just new set top box).
I have bought/got many laptops and any of them has broken. I have laptop from 1996 or 1998 which still works. There were software issues there, but they are fixable by update. (I have never bought Acer or Asus though)
AI can do it fine as it knows A and B. And that is knowledge creation.