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Earlier quoted context omitted.
I'm specifically talking about the strategies used in Deep / Machine learning to approximate intelligence through probability.
Wait, how is that actually different than what our brains do? From what I know, our cognitive system is built in quite a similar fashion of probabilistic pattern matching with backpropagation, coupled with some "ad-hoc" heuristic subsystems.
I’ve been finding it difficult to find concrete examples of where AI is useful. Suggestion engines? Alg optimization? What would be something my parents would recognize that is being helped by AI?
- Camera that make better looking pictures
- Better looking movies / videogames
- Better medical diagnostics.
- Face recognition
- City surveillance; finding criminals, lost children.
Well said: > Thus, just as humans built buildings and bridges before there was civil engineering, humans are proceeding with the building of societal-scale, inference and decision making systems that involve machines, humans and the environment. Just as early buildings and bridges sometimes fell to the ground — in unforeseen ways and with tragic consequences — many of our early societal scale inference and decision m…
I'm not an AI researcher (although from my internet reading that's not a hard title to claim ;)) but I feel that ML/DL can't go much farther than they already have. The concept of "we just need more power" is an obvious fallacy to me.
Humans are proof that machine intelligence can be improved quite a bit. We are just complicated machines, no?
Machines are the tools we make to aid the above.
Well said: > Thus, just as humans built buildings and bridges before there was civil engineering, humans are proceeding with the building of societal-scale, inference and decision making systems that involve machines, humans and the environment. Just as early buildings and bridges sometimes fell to the ground — in unforeseen ways and with tragic consequences — many of our early societal scale inference and decision m…
that's a trivial statement, unless he can suggest a different way to do things. Should people have held off building any bridges, until the 20th century arrived ? Building things and science have always evolved side-by-side in a feedback loop.
Earlier quoted context omitted.
I'm specifically talking about the strategies used in Deep / Machine learning to approximate intelligence through probability.
Wait, how is that actually different than what our brains do? From what I know, our cognitive system is built in quite a similar fashion of probabilistic pattern matching with backpropagation, coupled with some "ad-hoc" heuristic subsystems.
Michael Jordan is just mad he missed the boat on deep learning. Must be tough being that brilliant and at the same time get left in the dust by algorithms from the 90's and just sheer brute force. The AI revolution is here, from Google search to Uber pool to auto correct to recommendation engines, it is just a slow process.
What are we defining as AI now? It seems like AI has had a lot of hype in the past few years, but I really don't think we're even close unless it's created by mistake. We don't understand the brain fully, we don't understand consciousness, we just know so little in the grand scheme of things. Do we have the computing power to come anywhere close to what we need, will we have that computing power any time soon without…
The biggest challenge yet unconquered is getting your "average" business ($1-100m revenue, zero AI knowledge) using ML to help with literally anything they do . I'd wager less than 1% of businesses outside of SV even have a clue where to begin, or what to use it for, my employer included. "Do we hire some AI guys?" We'll need to crack the 1%-using-it mark for me to consider the revolution "begun"...
> The biggest challenge yet unconquered is getting your "average" business ($1-100m revenue, zero AI knowledge) using ML to help with literally anything they do. Does the AI which can help with literally everything a business does exist? That sounds rather general purpose and extremely open-ended.
I’ve been finding it difficult to find concrete examples of where AI is useful. Suggestion engines? Alg optimization? What would be something my parents would recognize that is being helped by AI?