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AI is here and its use will increase no matter what you desire. It's really no different than any other technology. As a species, we've consistently been gettin

by tensor 8y ago

AI is here and its use will increase no matter what you desire. It's really no different than any other technology. As a species, we've consistently been getting more and more efficient in most aspects of our lives. How that translates into the well being of the many is a completely different topic. Being more efficient is ultimately only a good thing. But that doesn't mean it will lead to a utopia. Our problems always have been, and always will be, each other. You point to AI as a problem, but we all should really be looking in the mirror instead. It's up to all of us to solve the social troubles that will arise from continual increases in efficiency. UBI is one idea that might help prevent a severe imbalance of resources in society. But it alone won't be enough to solve our social problems, and I don't think most people claim it will. It's a start. If this is really something that keeps you awake at night, be a part of the solution and help us think of realistic ways to address these issues. Going backwards in time isn't an option.

lintuxvi 8y ago
You're right. It's about our thinking. You and I. It's Alan Kay's quote he wants to shout. We need to get better at our solutions, and how we share them.
eksemplar 8y ago
Is AI really here? We process a lot of data, we’ve done so for years, and so far ML hasn’t been able to do it better than our in house analytical scientists. I see how the automation of those analytical scientist work a huge companies like google, where you probably save quite a few millions on having less employees, but even at our 20.000 employee municipality AI is an expense. Sure we could maybe cut the data/analytical staff down to half the size if we replaced them with data scientists, but data scientists are more expensive and you’d also need to pay a license for whatever ML platform you use, and none of our POCs with various consultants or academics have provided us with anything that was better than what we already have. In fact, In every test, it turned out our own human build models were a lot better at predicting and auditing than ML. Heh. AI is also struggling outside of big datas. We’ve run a poc on self driving cars for three years now, and they don’t work, at all. They certainly can work, if we replace and maintain every piece of road infrastructure to their exact needs, but that’s never going to happen. I guess AI will eventually find a usage outside of advertising and privacy invasion, and don’t get me wrong, we certainly use it for things like trolling through millions of old case files as part of our quality control. So it’s not completely useless, but I don’t see how it’ll change the world anytime soon.
- tim333 8y ago
  Waymo have self driving cars without safety drivers going around Phoenix so they at least kind of work. I don't know if that will roll our globally in the near term but it might.

by tensor 8y ago

lintuxvi 8y ago

You're right. It's about our thinking. You and I. It's Alan Kay's quote he wants to shout. We need to get better at our solutions, and how we share them.

eksemplar 8y ago

Is AI really here? We process a lot of data, we’ve done so for years, and so far ML hasn’t been able to do it better than our in house analytical scientists. I see how the automation of those analytical scientist work a huge companies like google, where you probably save quite a few millions on having less employees, but even at our 20.000 employee municipality AI is an expense. Sure we could maybe cut the data/analytical staff down to half the size if we replaced them with data scientists, but data scientists are more expensive and you’d also need to pay a license for whatever ML platform you use, and none of our POCs with various consultants or academics have provided us with anything that was better than what we already have. In fact, In every test, it turned out our own human build models were a lot better at predicting and auditing than ML. Heh. AI is also struggling outside of big datas. We’ve run a poc on self driving cars for three years now, and they don’t work, at all. They certainly can work, if we replace and maintain every piece of road infrastructure to their exact needs, but that’s never going to happen. I guess AI will eventually find a usage outside of advertising and privacy invasion, and don’t get me wrong, we certainly use it for things like trolling through millions of old case files as part of our quality control. So it’s not completely useless, but I don’t see how it’ll change the world anytime soon.

tim333 8y ago
Waymo have self driving cars without safety drivers going around Phoenix so they at least kind of work. I don't know if that will roll our globally in the near term but it might.