He was right a few years ago. But now there are several groups who have developed efficient capable online learning systems that don't require much data or iteration. When these and other existing types of cutting edge neural network advances such as techniques for avoiding catastrophic forgetting are combined with incremental training in diverse environments with general inputs and outputs, I believe we will see general purpose intelligence.<p>I believe we will see some demonstrations of AGI in the next two years. At first they will likely be general but unimpressive and not really as capable as animals or humans, and so people will dismiss them. But quickly the capabilities demonstrated will increase and before 2023-2024 there will likely be consensus that it has been achieved.<p>Look at systems like this one <a href="https://github.com/ogmacorp/EOgmaNeo" rel="nofollow">https://github.com/ogmacorp/EOgmaNeo</a>. It's a whole other type of NN that Kasparov and others aren't even aware of.
Back at the time when Deep Blue won chess match against Kasparov everyone in the media said about superior intelligence of Deep Blue.<p>While I at that time clearly realized that IBM just built brute-force "bulldozer" which can look for 200 million positions per second. Even with that power it had only a slight advantage over Kasparov who can look at only a handful of positions per second.<p>Now, we have another generation of "intelligent" machines based on deep learning but I see this as just upgraded version of brute-force "bulldozers". Now, it takes hundreds of millions of samples to infer the rules which human can infer from only a thousand or even less samples.<p>So I would call truly intelligent machine which can learn to play chess or go looking/playing only to a few thousands examples and calculating only a few moves ahead and not more than a few moves per second. Obviously that machine would beat human intelligence completely.<p>Although, such machine still may not have self-consciousness with qualia but this yet another big challenge.
Also, his interview at Talks@Google with DeepMind’s CEO Demis Hassabis.[0]<p>[0]: <a href="https://www.youtube.com/watch?v=zhkTHkIZJEc" rel="nofollow">https://www.youtube.com/watch?v=zhkTHkIZJEc</a>
He also did a talk at this year’s DEFCON(presumably there’re all for the same book):<a href="https://youtu.be/fp7Pq7_tHsY" rel="nofollow">https://youtu.be/fp7Pq7_tHsY</a>
One thing I'd be interested to learn is, how much of what makes the difference between an above average chess player and a Master or a Grandmaster can be tied to better decision making after looking 3 or 5 moves ahead, and how much is the Master/Grandmaster's ability to look 10+ moves ahead?
“When I lost our rematch in 1997...”<p>It has already been two decades. We’re suppose to be three decades from the singularity. Personally, it doesn’t feel like we’re accelerating towards an AI that surpasses humans, in general.