Hi All,
Last time, we saw the work of Mark Sagar, the CEO of Soul Machines. Now, talking about his work, specifically, his creation and innovation do not directly say, "Hey, I am helping humanity!!" He plans to look at the larger picture, where does humanity as a whole want to end, and then he starts painting the picture from a corner.
However, some people like to start right from the center, eventually spreading out affecting all individuals. This requires much less effort, however, it does not always ensure you completing the portrait, and often, innovators find asking themselves, "How far is, actually, too far?"
Talking about "too far", in my opinion, we are very close as well as far away from it. We are very close as we are evolving at an exponential speed...like, it took roughly 10,000 years to get from writing to printing press but only about 500 more to get to e-mail. But, at the same time, we could feel about being very far for human imagination still takes us to a world with robots for every job, every house chore, and every activity. A time where no matter how rich or poor, a person with knowledge and imagination adequate enough to create such functioning bots has to do nothing but sit peacefully by a window with a mug of coffee and an engrossing book.
Now, getting to the part where an artist paints a haven starting from the center, it is indeed a very satisfying job. This is because, in the end, you do get the satisfaction of making the life of another individual liveable...and this keeps you going even when you are the only one on the path.
Just like Gil Weinberg, the founding director of Georgia Tech for Music Technology. He places quite an interesting thought saying, "A.I. is not only going to replace humans, but it is also going to enhance humans." Now, at Georgia Tech Center, he has completed a surprising part of the painting making music, as well as prosthetics, reach its next level. Talking about music, he has developed an incredible bot named Shimon a marimba-playing robot. The bot functions such that its primary algorithm is to study the music being played, then using this accepted input, it can improvise this music. Now that is a pure example of Machine Learning at its best...well, currently. So, Machine Learning...
Machine learning is the ability to find patterns in data. So, if we feed Shimon some song, it would likely notice what note would be and could be played after what note. So, this could mean that Shimon could play 30% A.R.Rahman, another 30% Shankar Mahadevan, another 30% Ajay-Atul and possibly 10% me🎶! creating morphing, humans could never create.
However, this creation gave him the feeling of standing against the talent that today's musicians, so he brought forth an idea that helped musicians work further, practicing, generating and regenerating new and newer and even more new music.
...to know further about his creations, 'follow' my Blogspot at https://hridaywithpeople.blogspot.com/
@WePeople - signing out for today...
See you all on a new day with another innovative creation of such inspiring people.
P.S.:-
Last time, we saw the work of Mark Sagar, the CEO of Soul Machines. Now, talking about his work, specifically, his creation and innovation do not directly say, "Hey, I am helping humanity!!" He plans to look at the larger picture, where does humanity as a whole want to end, and then he starts painting the picture from a corner.
However, some people like to start right from the center, eventually spreading out affecting all individuals. This requires much less effort, however, it does not always ensure you completing the portrait, and often, innovators find asking themselves, "How far is, actually, too far?"
Talking about "too far", in my opinion, we are very close as well as far away from it. We are very close as we are evolving at an exponential speed...like, it took roughly 10,000 years to get from writing to printing press but only about 500 more to get to e-mail. But, at the same time, we could feel about being very far for human imagination still takes us to a world with robots for every job, every house chore, and every activity. A time where no matter how rich or poor, a person with knowledge and imagination adequate enough to create such functioning bots has to do nothing but sit peacefully by a window with a mug of coffee and an engrossing book.
Now, getting to the part where an artist paints a haven starting from the center, it is indeed a very satisfying job. This is because, in the end, you do get the satisfaction of making the life of another individual liveable...and this keeps you going even when you are the only one on the path.
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| Gil Weinsberg Image Courtesy - www.google.com |
Machine learning is the ability to find patterns in data. So, if we feed Shimon some song, it would likely notice what note would be and could be played after what note. So, this could mean that Shimon could play 30% A.R.Rahman, another 30% Shankar Mahadevan, another 30% Ajay-Atul and possibly 10% me🎶! creating morphing, humans could never create.
Shimon
Image Courtesy - https://gtcmt.gatech.edu/robotic-musicianship
However, this creation gave him the feeling of standing against the talent that today's musicians, so he brought forth an idea that helped musicians work further, practicing, generating and regenerating new and newer and even more new music.
...to know further about his creations, 'follow' my Blogspot at https://hridaywithpeople.blogspot.com/
@WePeople - signing out for today...
See you all on a new day with another innovative creation of such inspiring people.
P.S.:-
All expressions in this post are copyrighted to the author (Hriday Kharpude ©).
Sometimes I go bewildered by the fact that humans have created bots and someday these bots will overcome the human intelligence ..... Destroying ourselves ? ..... Thanks for the information
ReplyDeleteAn impressive assertion indeed, however, as I had mentioned in the earlier post, this is just a figment of our imagination because A. I. is nothing but an emulation of us humans.
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