Am I Right To Be Feeling This Way?
Family Life2 mins ago
Oh Dear Another Dead Road User Killed By Computer
129 Answers
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When are we going to accept that our current software ability is insufficient for this application? at least Uber has the sense to halt their tests.
When are we going to accept that our current software ability is insufficient for this application? at least Uber has the sense to halt their tests.
Answers
If this stuff Is that good, why are we about to spend billions on infrastructu
21:28 Tue 20th Mar 2018
If this stuff Is that good, why are we about to spend billions on infrastructure and signalling etc. for HS2 which presumably will have drivers...and run on rails.....early 19th century technology..... Cars are late 19th century technology and have barely changed in a century. The methods of propulsion, control and stopping them is the same as it ever was and they have no infrastructure to speak of, in the main sharing what is there with bicycles, pedestrians, horses and much other just as they have since day one. Politicians the world over are obviously hoping that a few geeks can fix all this with a box of switches screwed to every car, but I fear that they have a very long and disappointing wait...
Looks like the future is already here:-
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Keep up, TTT.
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Keep up, TTT.
Deepmind for the GO program uses 3 TPU's (NOT CPUs) with 135 Tflops and 1800Gb of storage, with a clever algorithm maintaining a nural net, huge storage and power much more than deep blue that beat Kasparov at chess. QED, clever algorithm huge power can give the illusion of thinking. Basically they threw processing power at it.
I am not sure that anyone who goes around saying "there is no such thing as machine learning" is qualified to tell us who has and has not grasped the basics of computing.
I mean, at the very least, you should appreciate that the term "machine learning" refers to a very specific type of program where the software is able to improve its ability to process information given to it within a certain context. It may not be the same as "learning" for humans but it's still learning in a sense, and a very meaningful one. The AlphaZero software was able to become better than any human or other computer at Go (and Chess and Shogi) with only a single (adaptable) piece of code, as long as it was told what the rules were (and with enough computing power thrown at the resulting neural network).
I strongly suspect, all the same, that your computing ability and knowledge far outstrips mine, but to dismiss machine learning is, at the very least, an abuse of language.
I mean, at the very least, you should appreciate that the term "machine learning" refers to a very specific type of program where the software is able to improve its ability to process information given to it within a certain context. It may not be the same as "learning" for humans but it's still learning in a sense, and a very meaningful one. The AlphaZero software was able to become better than any human or other computer at Go (and Chess and Shogi) with only a single (adaptable) piece of code, as long as it was told what the rules were (and with enough computing power thrown at the resulting neural network).
I strongly suspect, all the same, that your computing ability and knowledge far outstrips mine, but to dismiss machine learning is, at the very least, an abuse of language.
Tora, are you aware of the theories that human intelligence is based on simple algorithms?
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This is my reason for attempting to try to get you to explain the difference between human and machine intelligence. They grow ever closer every day.
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This is my reason for attempting to try to get you to explain the difference between human and machine intelligence. They grow ever closer every day.
"It may not be the same as "learning" for humans but it's still learning in a sense," - yes it's how a machine "learns" by remembering information and algorithms that are clever enough to utilise that information. There is no intelligence or reasoning, no "thinking"- You can write an algorithm for closed systems where the rules are known and that the opposition will obey the rules, eg GO, Draughts, Chess. Not so for infinite variables and rules that are at best interpreted differently at worst ignored at will with no consistency, as in the highway.
Not all human drivers use much intelligence either.
I mean, it seems to me that the problem is, still, that you (and anyone else against self-driving cars) seem to be holding them to impossible standards, while deliberately overlooking the even grater failings of the human drivers they are eventually going to replace. I don't for a second mean to minimise the death of this pedestrian, but thousands of others like them died last year when self-driving cars weren't even involved, and I am not sure why this isn't relevant.
If you can introduce a measure that can reduce road deaths by even a small fraction, it seems well worth the effort. And, in time, I think it's safe to expect self-driving cars to reduce road deaths by a great deal more than that. That's what the testing is for.
There are many tests they will still fail. I'd venture to suggest that so do rather a lot of human drivers.
I mean, it seems to me that the problem is, still, that you (and anyone else against self-driving cars) seem to be holding them to impossible standards, while deliberately overlooking the even grater failings of the human drivers they are eventually going to replace. I don't for a second mean to minimise the death of this pedestrian, but thousands of others like them died last year when self-driving cars weren't even involved, and I am not sure why this isn't relevant.
If you can introduce a measure that can reduce road deaths by even a small fraction, it seems well worth the effort. And, in time, I think it's safe to expect self-driving cars to reduce road deaths by a great deal more than that. That's what the testing is for.
There are many tests they will still fail. I'd venture to suggest that so do rather a lot of human drivers.
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