The brain has hardcoded conceptions of having a body with hands that can grab, a mouth that can suck, eyes mounted on a moving head that can be used to visually follow objects (the vestibulo-ocular reflex), and these preconceptions are required for human intelligence to start taking control of the human body.
I see no good reason to believe this. In vivo experiements in monkeys suggest that even after development it’s possible to add additional colors via gene therapy to the eyes in a way that causes them to be integrated.
Nonvisual senses like knowing cardinal directions or magnetoperception also can be learned in vivo by adding sensors.
Out of memory I don’t have concrete examples where humans or apes manged to deal with having a 8 legged body but I wouldn’t be surprised if a human brain is fine at learning to do so, especially when it has that amount of limbs from birth.
I would guess that part of the reason why a 6 month year old human child is much more incapable than a 6 year old dog is that the human child depends a lot less on “hardcoded conceptions” then the puppy.
The author of the article even notes that a human child that didn’t grow up in the “nurturing environment of human culture” is radically different then one that is, with suggests that a lot isn’t hardcoded. Unfortunately, the author doesn’t notice the contradiction.
There are currently about seven million people with IQs higher than 150 — better cognitive ability than 99.9% of humanity — and mostly, these are not the people you read about in the news.
There are less than seven million people with IQ’s of 150. IQ is not normed for having 100 for the average citizen of the world.
Saying that very high IQ doesn’t matter when the richest man has something like an 160 IQ (translated from the 1590/1600 SAT score) is also misleading.
US Federal Reserve leadership with Ben Bernake who scored like Gates and Janet Yellen for whom IQ numbers or SAT numbers aren’t public but who got reportedly called by a college “Small lady with large IQ”.
Crucially, the civilization-level intelligence-improving loop has only resulted in measurably linear progress in our problem-solving abilities over time.
We measure GDP growth by a percentage of last years growth and not by absolute numbers because we believe GDP growth is exponential and not linear.
Lastely, even if it would be true if you couldn’t improve AI software, no AI software improvement is necessary for FOOM. In the Age of Em Robin Hanson lays out how Em’s can go FOOM by simply increasing the production of the hardware on which they run without any improvment in their cognitive ability even if they are only as smart as the smartest humans. An AGI can play all of the same tricks and likely can improve their cognition if the process of Alpha Go is any indication.
I see no good reason to believe this. In vivo experiements in monkeys suggest that even after development it’s possible to add additional colors via gene therapy to the eyes in a way that causes them to be integrated.
Nonvisual senses like knowing cardinal directions or magnetoperception also can be learned in vivo by adding sensors.
Out of memory I don’t have concrete examples where humans or apes manged to deal with having a 8 legged body but I wouldn’t be surprised if a human brain is fine at learning to do so, especially when it has that amount of limbs from birth.
I would guess that part of the reason why a 6 month year old human child is much more incapable than a 6 year old dog is that the human child depends a lot less on “hardcoded conceptions” then the puppy.
The author of the article even notes that a human child that didn’t grow up in the “nurturing environment of human culture” is radically different then one that is, with suggests that a lot isn’t hardcoded. Unfortunately, the author doesn’t notice the contradiction.
There are less than seven million people with IQ’s of 150. IQ is not normed for having 100 for the average citizen of the world.
Saying that very high IQ doesn’t matter when the richest man has something like an 160 IQ (translated from the 1590/1600 SAT score) is also misleading.
US Federal Reserve leadership with Ben Bernake who scored like Gates and Janet Yellen for whom IQ numbers or SAT numbers aren’t public but who got reportedly called by a college “Small lady with large IQ”.
We measure GDP growth by a percentage of last years growth and not by absolute numbers because we believe GDP growth is exponential and not linear.
Lastely, even if it would be true if you couldn’t improve AI software, no AI software improvement is necessary for FOOM. In the Age of Em Robin Hanson lays out how Em’s can go FOOM by simply increasing the production of the hardware on which they run without any improvment in their cognitive ability even if they are only as smart as the smartest humans. An AGI can play all of the same tricks and likely can improve their cognition if the process of Alpha Go is any indication.