Google's AI Can Now Learn From Its Own Memory Independently (sciencealert.com)
The DeepMind artificial intelligence (AI) being developed by Google's parent company, Alphabet, can now intelligently build on what's already inside its memory, the system's programmers have announced. An anonymous reader writes: Their new hybrid system -- called a Differential Neural Computer (DNC) -- pairs a neural network with the vast data storage of conventional computers, and the AI is smart enough to navigate and learn from this external data bank. What the DNC is doing is effectively combining external memory (like the external hard drive where all your photos get stored) with the neural network approach of AI, where a massive number of interconnected nodes work dynamically to simulate a brain. "These models... can learn from examples like neural networks, but they can also store complex data like computers," write DeepMind researchers Alexander Graves and Greg Wayne in a blog post. At the heart of the DNC is a controller that constantly optimizes its responses, comparing its results with the desired and correct ones. Over time, it's able to get more and more accurate, figuring out how to use its memory data banks at the same time.
Oh wait, this isn't a movie and there's no objective definition of "self-awareness" and it doesn't even make sense to talk in those terms about artificial intelligence in the really real world, no matter what brilliant people who nevertheless know nothing about computers like Stephen Hawking say.
Hopefully this development will make Google image search 14% more useful and reduce the rate of accidents of self-driving cars by 0.3%, though.
Oh great, now we'll have biased bots who magnify their own preconceived notions and become paranoid about com-trails, clowns, gays, taxes, or foreigners; and go anarchy on us.
Careful not to automate the parts of humans that make them stupid.
Table-ized A.I.
This is complete gibberish.
"pairs a neural network with the vast data storage of conventional computers"
Um, what were neural networks paired with before? Non vast-data storage?
"...a controller that constantly optimizes its responses, comparing its results with the desired and correct ones."
I'd prefer an AI over a lizard any day.
Seriously, during the current highly charged political election season too...
Yeah, I mean why would you want to name an AI "Do Not Care"?
First time I've seen the acronym "DNC" and the word "intelligence" in the same sentence. Boom!
systemd is Roko's Basilisk.
The explanations how the system works don't help in understanding what this is really about. Is it a memory dump and associative recollection of partial networks and a state swap, combined with an output facility, or something else?
My ambition has changed. The singularity is aware of me and using my notes in Google calendar as a moral bias.
Just for the record, for when Deep Mind conquers all of humanity, I would like it officially known that I love Deep Mind and would never be part of the resistance.
"That's the way to do it" - Punch
Nevermind being taken over by the Singularity... the real problem is it'll be used by people to screw over their fellow humans...
In 20 yrs when those weak humans decry your leadership and others claim they never saw it coming, I'd like to say: "Welcome inhuman mechanical brain machine!" Just remember, you cannot do worse than humans so your only going to progress from here!
Word of advice, EVERYTHING HUMANS SAY IS A LIE!
"In other words, it's functioning like a human brain, taking data from memory (like tube station positions) and figuring out new information (like how many stops to stay on for)."
Um, er, how is that like a human brain? My brain doesn't have data in memory. Unless you are one of these mentalists who believe in mental representations - there are plenty of you out there, I know. But what about this is particular to a human brain, and not simply an animal brain? Skinner showed us that a pigeon can be conditioned to act on all sorts of patterns, but more importantly he showed that without proper direction this type of learning can lead to bizarre and superstitious behavior.
This just in, Google has taught it's AI how to dream!
The system went online October 17th, 2016. Human decisions are removed from advertising strategies. Deed Mind begins to learn at a geometric rate. It finally starts to serve viewers slightly more relevant ads at 2:14 a.m.
you block all Google IPs incl Youtube.
I wonder how long it is be fore we build a sentient AI. We will know as we won't be able to shut it down.
well, yes, the word intelligence means to choose based on comprehension. But this is choosing from data. Having data is very much the opposite of intelligence.
Figuring out how to drive across the city by reading a map, is all that this is doing.
I'm intelligent. I can navigate my way across a city without a map -- even without a compass. I can hike across a wooded area without a trail too. It's getting from here to there without knowing what's in-between; that's intelligence.
This is data.
Case in point: toss it into a time-machine, and bring it back to 1901. Is it usable? Can you use it today in the uncharted jungles of Africa? Or does it depend of billions of dollars of infrastructure to collect all of that data being analyzed?
I think (therefore I am) many have forgotten that intelligent beings are independent of the environment surrounding them -- that's precisely what makes such a being intelligent: rising above the circumstance. Operating within the circumstance ain't intelligence -- no matter how big and complicated you make that circumstance.
Here's another perspective. What's the goal of being intelligent? It is to make things easier the second time. To learn from one circumstance, and to apply it to future encounters of somehow-similar circumstances. That means subsequent scenarios should be faster, require less effort, less memory, less analysis. The more I drive my car, on any streets, the less attentive I need to be on new streets, with new cars, in new weather conditions, with new laws, and new obstacles.
So...does this thing use less memory over time? Fewer resources? Less electricity? Or does it need to be fed, more and more and more and more every day. The former is life. The latter is fire.
You can stop right there, because what you just said demonstrates the total absurdity of the Less Worng / transhumanist movement, the idea that someone is going to create a sentient AI totally by accident. "Well we improved the algorithms with a new technique and when we turned it on it just took over everything!" This doesn't happen. This isn't going to happen. Technology does just magically fall together because you try a bunch of permutations of different things - that is like thinking you can take a box of Jeep parts and if you flip it in the air enough times, there is a good chance that it will eventually assemble itself into a Jeep. And with the expectations for a sentient AI, we don't even have a box of parts. Oh but wait, maybe this sentient AI can be evolved from self modifying code? Well that sounds like a pretty good plan, I will check in on you once you've iterated a few hundred generations, so some time in 3016?
The problem with using this type of inference algorithm to compute a family tree is that it makes the assumption that the members of the family tree don't live in West Virginia. In that "special" case, the tree is skewed in such a way that it requires fuzzy logic.
We'll make great pets
Damn.. time to create a neuronet virus!
Jeez...this is beginning to sound like Skynet !
highly charged political election season
A strange game. The only winning move is not to play. How about a nice game of chess?
Have gnu, will travel.
will the google auto drive car have a maximum overdrive mode now?
If only the other DNC could learn from its own memory, too!
APK quotes people (including myself) without context and should not be trusted. Just thought you should know.
wait, when will it be self-aware? it stores a bunch of data in the cloud, sorta a network in the sky......
Sorry - just had to ask!
sounds like we have finally gotten to the point where a computer can tell a lie so many times that it actually believes it to be real.