Human vs. Artificial Intelligence: Key Similarities and Differences | Philip Hilm | TEDxYouth@Prague
ฝัง
- เผยแพร่เมื่อ 21 ธ.ค. 2015
- Philip revealed what we should expect from artificial intelligence which is a significant part of our lives already.
While math and problem solving comes naturally to Philip, the opposite can be said about his understanding of people. He has long ago recognized, that he needs a very deliberate effort to understand why people think and act the way they do. This has since become a passion and has led to a career as a professional poker player and now as an artificial intelligence researcher. Phil believes artificial intelligence will be the main factor shaping our future. This will be the topic of his talk. As an affectionate father of 2, he finds great purpose in working for a brighter future.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at ted.com/tedx
Totally Undermining The Human Mind
No, brain processing is not just 'on' and 'off' states, or worse '0s' and '1s'. I look forward to when we stop hearing these over-extended analogies. Then, we have a chance to actually understand mind.
Thank you for your feedback. You are absolutely correct, the analogy is a simplification of how the brain works. But whether it is fitting or not is something that divides the scientific community. I could write a novel on the topic, but the TED format is much more compressed. Here are a few of my thoughts:
The brain's functionality can crudely be divided into 'learning' and 'thinking'. Learning is the strengthening or weakening of connections between neurons and thinking is the spiking of neurons. These processes are highly influenced by other factors as tiredness, hormone balance etc.
I think the similarities between artificial and biological 'learning' are vague at best. The artificial 'learning' is commonly done by 'following the slope' using differential equations. The brain is certainly not using differential equations to learn :)
But while an artificial neural network usually has a slightly different architecture than our brain's spiking neural network, I still think it's a pretty good approximation of 'thought'. In both cases it's basically neurons signalling each other. We're even able to replicate 'human' error on a number of tasks by artificial neural networks.
Thank you for your further thoughts on this very interesting frontier.
100% that's another reason why its impossible for a.i to truly be more advanced because not just the brain but also because those who made it are still not advanced to super genius levels of what we call divine Intelligence...
( one can say consciousness ) so theres room for error...an a.i can learn based on certain patterns in nature and humans but for me the way I describe it is basically that the Intelligence of the subconscious realms is far superior...heck...even if someone were to go in their subconscious take control and download information from that altered state...a.i. is basically still a watered down version of that intelligence.
@@spiritakarabbit369 because the brain is a extremely complex object , there more neurons and synapses than there are galaxies
man, you're sweating at the end
03
Who came fro ms jasminka
me
lmaoo me
هل امتلكت روح ايضا!!!!!سوف اعيد تقييم كل ماتعلمته والسبب هو قدرتكم على اختراع انسان
maybe he doesn't know anything about quantum computing
Fear not...
Kurt godel has
proved that no turing machine complete his ever capable alone to
solve
any Fields Medal
Problems, yes that kind of Matematical problems that only Math Genius
is cable of… so relax
..and enjoy a nice ice cream...Muahahahahahaha…..
Dude.. you need to chill..
I know it's scary I have stage fright myself 😂