I'm not sure which is worse: the singularity with a bullshit detector or without.
IBM's Watson Memorized 'Urban Dictionary,' Then His Overlords Had to Delete It
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Re: IBM's Watson Memorized 'Urban Dictionary,' Then His Overlords Had to Delete It
#12I like how someone commented on the main article that the time is getting close to where AI can step up to the plate of creativeness and how widespread and easy this will make our lives. Watson is a giant server farm, not a single PC, this stuff won't make a huge impact until IBM can shrink it or until computers get much much faster and smaller. Not that it won't happen, it's just not "around the corner" in any way.
Re: IBM's Watson Memorized 'Urban Dictionary,' Then His Overlords Had to Delete It
#13I like how someone commented on the main article that the time is getting close to where AI can step up to the plate of creativeness and how widespread and easy this will make our lives. Watson is a giant server farm, not a single PC, this stuff won't make a huge impact until IBM can shrink it or until computers get much much faster and smaller. Not that it won't happen, it's just not "around the corner" in any way.
Wireless communication is widespread enough that I don't think it matters too much where Watson "lives". The inputs and outputs required from "him" (for questioning, anyway, not for training) are tiny, so bandwidth isn't much of a concern. Assuming the architecture for it is parallel enough that it can be responding to lots of people at once how much it is distributed vs hosted on one system isn't particularly releva…
Re: IBM's Watson Memorized 'Urban Dictionary,' Then His Overlords Had to Delete It
#14' "In tests it even used the word bullshit in an answer to a researcher's query." ' I'm not sure which is worse: the singularity with a bullshit detector or without.
Re: IBM's Watson Memorized 'Urban Dictionary,' Then His Overlords Had to Delete It
#15I saw the headline and assumed the story was going to be that management decided that computer memorization was copyright infringement. Glad it was just a computer acting like a teenager and cursing at the dinner table.
There's a certain human element there that makes this really, really amazing -- a machine with actual personality, molded by what it picks up from its environment. It's like a baby, learning to speak.
Sam Witwicky: "How did he learn to talk like that?"
Optimus Prime: "We learned Earth's languages from the World Wide Web."
Re: IBM's Watson Memorized 'Urban Dictionary,' Then His Overlords Had to Delete It
#16Re: IBM's Watson Memorized 'Urban Dictionary,' Then His Overlords Had to Delete It
#17' "In tests it even used the word bullshit in an answer to a researcher's query." ' I'm not sure which is worse: the singularity with a bullshit detector or without.
If the singularity had a bullshit detector, it would kick Ray Kurzweil out.
Re: IBM's Watson Memorized 'Urban Dictionary,' Then His Overlords Had to Delete It
#18Re: IBM's Watson Memorized 'Urban Dictionary,' Then His Overlords Had to Delete It
#19I like how someone commented on the main article that the time is getting close to where AI can step up to the plate of creativeness and how widespread and easy this will make our lives. Watson is a giant server farm, not a single PC, this stuff won't make a huge impact until IBM can shrink it or until computers get much much faster and smaller. Not that it won't happen, it's just not "around the corner" in any way.
1.Problems that we don't know how to solve yet, but we think we are close to based on "similar" problems we have solved.
2.Problems that we have a solution for, but it currently takes an unreasonable amount of time to use these solutions in practice.
Problems in class 1 are like AI in the 1960-70s, everybody thought we were super close to amazing AI based on discoveries we'd had, but these estimates were very wrong.
Problems in class 2 are like nlp and ml work in the 90s and 00s. A rather large chunk of 'wow' ml/nlp we have in applications today were pretty much solved 20 years ago, but there was no sane way to run them, certainly not on your cell phone.
Problems in class 2 are safer bets, there does seems to be consistant increases in processing power, memory, etc. Problems in class 1 are harder to guess because as history has shown, just because a solution seems similar doesn't mean that it actually is (shortest path is solved, longest path is NP-hard, shortest path touching all points once (ie. tsp) is NP-hard).
I think it's safe to say having Watson on our smart phones is right "around the corner" (20-30 years?) saying that we'll create "creative" AI, not so much.