i read this as : Cows … then Crows … then again Cows. My reading skills are often quite bad 😆. At least i can lol.
P.S. : Great discussion here between @Zerush@lemmy.ml and @yogthos@lemmy.ml .
i bet that, when General Artificial intelligence will be achieved it will be quite simple, like with the discovery of flight - - so many complex proposals, yet the solution was quite simple !
Nature produces all kinds of things : some lightweight, some intelligent, many places with redundancies … often necessary for stability. it’s optimisation process can do great things, yet, with technology it can do some more.
Also cows are very smart animals, also sheeps which are ables to recognize themselves in a mirror, pigs even know how to play simple video games with a joystick.
Certainly many animals are considerably more intelligent than previously thought.
Crows and parrots not only know how to repeat words, but also understand their meaning, they are, together with the great apes, the only ones who allow an intelligible conversation, although with the apes only through sign language, since they lack of a phonetic apparatus necessary to be able to articulate words.
★ Entrepreneur’s & pragmatic approach to the question of creating G.A.i. : major subject : beginning of a new era. ★ Mountcastle’s paper : Main point = The same 6 layered neurone structure in every part of the cortex : it would produce a single workflow (“algorithm”) ★ Great book, culmination of his life’s passion - - some examples a bit long and repetitive - - which is best for lay person (newbies) ? humm… ★ on page 100 : one whole paragraph is repeated twice in a row after a few pages with confusion.
Contradictory statements are numerous there
It’s been a while since I read it. The main parts that stuck with me were about the approach of trying to map out brain structures and figure out what they do. Then implement these in a neural network and see if they produce similar results. This seems like the right approach for trying to figure out how to implement a biologically inspired AI. And the part about the 6 layered structure being repeated in the cortex is very encouraging. If it is a single repeating structure, then there’s a good chance we’ll be able to figure out the algorithm there.
i read this as : Cows … then Crows … then again Cows. My reading skills are often quite bad 😆. At least i can lol.
P.S. : Great discussion here between @Zerush@lemmy.ml and @yogthos@lemmy.ml .
i bet that, when General Artificial intelligence will be achieved it will be quite simple, like with the discovery of flight - - so many complex proposals, yet the solution was quite simple !
Nature produces all kinds of things : some lightweight, some intelligent, many places with redundancies … often necessary for stability. it’s optimisation process can do great things, yet, with technology it can do some more.
Also cows are very smart animals, also sheeps which are ables to recognize themselves in a mirror, pigs even know how to play simple video games with a joystick. Certainly many animals are considerably more intelligent than previously thought. Crows and parrots not only know how to repeat words, but also understand their meaning, they are, together with the great apes, the only ones who allow an intelligible conversation, although with the apes only through sign language, since they lack of a phonetic apparatus necessary to be able to articulate words.
https://piped.kavin.rocks/watch?v=mza1EQ6aLdg
Don’t tell anyone: i like meat 🤭 !
There is some evidence that the brain has a common recurrent structure to it. On Intelligence is a really fun read about this.
You linked this book :
Jeff Hawkins - On Intelligence.pdf 1.5_MB 174_pages dates to 2004My search:
reviews of his new book 2021
he is on Wikipedia
i revied his first book
★ Entrepreneur’s & pragmatic approach to the question of creating G.A.i. : major subject : beginning of a new era.
★ Mountcastle’s paper : Main point = The same 6 layered neurone structure in every part of the cortex : it would produce a single workflow (“algorithm”)
★ Great book, culmination of his life’s passion - - some examples a bit long and repetitive - - which is best for lay person (newbies) ? humm…
★ on page 100 : one whole paragraph is repeated twice in a row after a few pages with confusion. Contradictory statements are numerous there
It’s been a while since I read it. The main parts that stuck with me were about the approach of trying to map out brain structures and figure out what they do. Then implement these in a neural network and see if they produce similar results. This seems like the right approach for trying to figure out how to implement a biologically inspired AI. And the part about the 6 layered structure being repeated in the cortex is very encouraging. If it is a single repeating structure, then there’s a good chance we’ll be able to figure out the algorithm there.