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What Deep Blue Tells Us About AI in 2017 (Backchannel)
A very good contrast the IBM-Gary Kasparov match 20 years ago, and the AlphaGo-Lee Sedol match last year.
AlphaGo did not need to resort to any of the tactics that IBM used to distract, deceive, and ultimately destroy Kasparov. The human champion, Lee Sedol, ended with respect for his opponent and awe for how far AI had come. But though the match deservedly received attention, it was nowhere near as mythic as the Deep Blue match was. The ground has shifted. Given enough time, money, and machine learning, there’s no cognitive obstacle that machines will not surmount.
The rise of robots: forget evil AI – the real risk is far more insidious
“Even when you think you’ve put fences around what an AI system can do it will tend to find loopholes just as we do with our tax laws. However, the real risk posed by AI – at least in the near term – is much more insidious.
Stuart Russell's (AI pioneer) view on this seems to be quite a practical stance in the short term. In the early days, the risk won't be an AI that is out of control and making unchecked decisions, but rather one that has "absolutely no understanding of consciousness whatsoever."
The critical point here is that in a lot of cases, t...
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Four Questions For Geoff Hinton
In this article, Geoff Hinton (one of the early pioneers of Neural Nets) gives his take on the following questions:
Do you believe you’ll see true artificial intelligence in your lifetime?
What is there to fear about the existence of true artificial intelligence?
How do you foresee AI affecting labor and the economy? Does it help or hurt?
What’s the next big step for the deep learning movement?
Clicking through pages of “unlock the value of your big data!” advertorials, a cynic might suspect that the best (and perhaps only) method of deriving value from big data is to go into the business of telling people how to get value from their big data.
The author's premise here is that big data doesn't work because humans are trying to remain involved in the data-driven decision-making process, hence undermining the true power of algorithmic...
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Jeff Bezos talking about Amazon Echo in 2000!
During the Q&A session of Jeff Bezos' interview by Charlie Rose, the last question was
What's the next really big thing that's not incremental in the world of - a planet where everybody is connected to everybody?
Jeff Bezos: I think if you take the next big step, I believe for mobile, the thing thats going to be the biggest part of that is voice ... you should be able to talk to Amazon.com ... in the short-term it will be kind of a stilted special-purpose language ... but in the long-term it could even be natural language processing.