3 ms·

Seen a few people claim from time to time that real world experience is the "special sauce" of general AI. I've never seen anything to substantiate this claim.

Seen a few people claim from time to time that real world experience is the "special sauce" of general AI. I've never seen anything to substantiate this claim. We all live in a box, we all experience our world through simple electrical signals. Other than being unsubstantiated, the real world only runs at 1x, simulated world can run at any rate your computing platform supports.

garmaine 8y ago
Much of our reasoning develops from metaphorical comparisons with our embodied experiences. E.g. it is certainly true that we gain spatial awareness from embodiment, and it is worth noting how much of our language of reasoning uses spatial metaphors. Can we expect a non-embodied AI whose only view of the world is text we feed it to develop a similar understanding? That’s the steelmanned argument at least.
gremlinsinc 8y ago
One feature also is hardware capabilities (storage + processing), the human body/mind is extremely capable. It can store an unknown amount of data, it boggles my 'mind' at the amount that can be stored in such a small area compared to today's hdd's and sdd's, then how fast we can bring up those memories - yet we don't always have those memories in quick access points, sometimes we have to think real hard to remember something. We also don't remember EVERY single detail about something, only key characteristics, where I think a lot of AI tries to learn/store/remember everything about something. The storing of that can take up precious resources, to create service droids that can do everything using AGI we need the computer that runs it to be essentially the size of a real human brain. Which we need to find ways to map AI tech more closely to biology. There's also the fact that we are born with instincts built up over millenia, passed down. We also absorb random tidbits of data with no actual purpose. We watch the news and our toddler gets excited at the commercials, I don't know what he's learning from it, but getting him to turn his attention away from it is nigh impossible. You can see the processing going on, it's amazing to watch him learn. I just think we need to think outside the current ai 'boxes' with dl/ml and consider their may be whole swath's of things we're missing, whole pieces of the puzzle before we get to AGI or the Singularity.

garmaine 8y ago

Much of our reasoning develops from metaphorical comparisons with our embodied experiences. E.g. it is certainly true that we gain spatial awareness from embodiment, and it is worth noting how much of our language of reasoning uses spatial metaphors. Can we expect a non-embodied AI whose only view of the world is text we feed it to develop a similar understanding? That’s the steelmanned argument at least.

gremlinsinc 8y ago

One feature also is hardware capabilities (storage + processing), the human body/mind is extremely capable. It can store an unknown amount of data, it boggles my 'mind' at the amount that can be stored in such a small area compared to today's hdd's and sdd's, then how fast we can bring up those memories - yet we don't always have those memories in quick access points, sometimes we have to think real hard to remember something. We also don't remember EVERY single detail about something, only key characteristics, where I think a lot of AI tries to learn/store/remember everything about something. The storing of that can take up precious resources, to create service droids that can do everything using AGI we need the computer that runs it to be essentially the size of a real human brain. Which we need to find ways to map AI tech more closely to biology. There's also the fact that we are born with instincts built up over millenia, passed down. We also absorb random tidbits of data with no actual purpose. We watch the news and our toddler gets excited at the commercials, I don't know what he's learning from it, but getting him to turn his attention away from it is nigh impossible. You can see the processing going on, it's amazing to watch him learn. I just think we need to think outside the current ai 'boxes' with dl/ml and consider their may be whole swath's of things we're missing, whole pieces of the puzzle before we get to AGI or the Singularity.