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It amazes me how people are so trusting of computers. Like they are beyond mistakes.
But hey, if you can talk to your phone with perfect results, that's a start.
TM
Then of course they can also learn on their own. But that is still reliant on some human intervention in how we tell them to process the information they have available. Imagine having a photographic memory of every book, tv show, movie, etc. that you'd ever seen since you were born at the tip of your tongue, but not having the brain capacity to connect the relevant information together to make sense of it all. That ability to connect the dots is what we're teaching computers with AI.
Both computers and people will make the same mistakes based on a faulty set of specs to follow. If cost of construction is more important in the planning stage than safety, then corners will be cut (with regard to safety) by both planners.
If we really were concerned about safety in nuclear reactors, then we'd use thorium reactors for energy production. But then you'd have to find another way to produce fissionable materials for nuclear weapons. Which frankly if we're concerned about safety, we could definitely do without anyhow. Do you think a computer would decide to use a far more dangerous method, just so they could stockpile the waste from it in case they needed to blow everybody up?
I've been reading up on this very topic as of late. At the basic level, the brain process/stores/moves information in electrical pulses. So that made me ask, is the brain analog or digital?
The consensus seems to be both.
The human Brain is Digital but the human Mind is Analog
Analog - just like everything from human’s perspective, even Intel’s processors are analog. Digital is just a more convenient engineering approach for modeling analog systems like electrical circuits. Modeling brain as digital system is a challenge for today’s neurosience teams..
The Shop
AI wins $290,000 in Chinese poker competition http://www.bbc.co.uk/news/technology-39564836
I must say, I struggle with stuff like this being AI. I think of what we call AI today is more like efficient information dissemenation, i.e., adaptable mathematics. But it is still just linear algebra. These computers are generating answers only based on the information programmed into them. We have a better undertanding of the information that is programmed which allows for huge mathematical computations that narrow down more "adaptable" type answers.
I think of literal/general AI, as a process of developing its own neural pathway, so to speak, and creating its own organic parameters, separate from any programmed mathematical constraints.
Still interesting stuff though.
AGI is sort of what the smart phones do now "Navigate to this place" "Call this person" etc etc - where they can discern what we're talking about from a multitude of options and still complete the task.
Computers designing computers is a thing at the pinnacle of the industry. This discussion reminds me of a Ted talk by Sam Harris on the subject:
Your last paragraph is a good example of what I think of when I think of AI.
Pit Row
Post a reply to: Bill Gates said