Without Humans, Artificial Intelligence Is Still Pretty Stupid (wsj.com)
Christopher Mims, writing for WSJ: The internet giants that tout their AI bona fides have tried to make their algorithms as human-free as possible, and that's been a problem. It has become increasingly apparent over the past year that building systems without humans "in the loop" -- especially in the case of Facebook and the ads it linked to 470 "inauthentic" Russian-backed accounts -- can lead to disastrous outcomes, as actual human brains figure out how to exploit them. Whether it's winning at games like Go or keeping watch for Russian influence operations, the best AI-powered systems require humans to play an active role in their creation, tending and operation (Editor's note: the link could be paywalled; alternative source). Facebook, of course, is now a prime example of this trend. The company recently announced it would add 10,000 content moderators to the 10,000 it already employs -- a hiring surge that will impact its future profitability, said Chief Executive Mark Zuckerberg.
FTFS:
Yet last month we heard that human-in-the-loop AI is actually inferior to human-less AI for Go.
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That's because there is no AI. We got fancy algorithms that appear smart when guided by people, nothing more. They don't "think" and they are neither smart or stupid. That would require intelligence, which is missing from this whole equation...
Look up any documented case of feral humans, either in the wild or confinement. If they have a few years first with parents beforehand, they tend to be OK after a period of catching up - but left completely "unprogrammed", they tend to be completely unable to cope.
Humans need interactions on several levels to "become" humans as we recognize them.
It's not at all surprising that computers would need some of that same kinds of interactions to be able to speak to us on our terms. We take a LOT of faulty shortcuts to real logic in order to play our roles in society, conversations, and our shared understanding of the world.
You can get a lot of that odd 'logic' just by building associations - but it takes a LOT of misunderstanding and correction before you can know if those corrections really work the way others understand them.
Ryan Fenton
This is because what the hypesters are calling "AI" is just computers running software. And computers are dumb and so is software. It has been this way since the computer was invented and will continue this way unless there is some magical leap in computing.
But AI are not lazy and will work to the death and not take breaks.
Normally if you hire someone Who is relatively stupid, they will be a problem because they are lazy too.
If something is so important that you feel the need to post it on the internet... It probably isn't that important.
It has become increasingly apparent over the past year that building systems without humans "in the loop" -- especially in the case of Facebook and the ads it linked to 470 "inauthentic" Russian-backed accounts -- can lead to disastrous outcomes
Because ... a few tens of thousands of dollars worth of FB ads actually caused people who loved Hillary to suddenly vote for the person they hated? This non-sly bit of editorializing (that the Clintons not regaining power to sell access from the White House was a "disaster" brought on by social media externalities) is laughable. Insufficient human involvement in FB's ad-processing may indeed have allowed some pot-stirring foreigners to run ads, but they also allowed an endless stream of domestically-passed-around fake news and toxic memes that were vitriolically and relentlessly anti-Trump to saturate news feeds in the months leading up to the election. None of these things somehow tricked Clinton into regularly showing her patronizing contempt for flyover-country voters. Hillary Clinton wasn't somehow persuaded by Russian ads to blow off even setting foot in Wisconsin while expecting that state to giver her their electoral college votes anyway. The Democrats didn't lose a thousand legislative seats, most of the governorships and both houses of congress during the Obama administration because of minuscule Russian FB ad buys in 2016. This reference to FB's ads buys leading to "disaster" is just another disingenuous attempt to deflect from what really happened.
... who characterized herself entitlement to power based on gender, and who promised to use the Supreme Court as a new legislature. What a huge waste of time and resources.
If there's a "disaster" to describe, it would be the shocking amount of cash the Democrats spent and the celebrity-entertainment-news-industrial-complex expenditure of good will and political capital that was spectacularly squandered in trying to convince people to vote for a chilly, robotically unlikable scold of a candidate with no constructive message and a long record of corruption
Don't disappoint your bird dog. Go to the range.
You run this program, you see a CPU Core peaking. The computer is putting all its effort into doing something that you wouldn't even notice after the screen gets full.
If something is so important that you feel the need to post it on the internet... It probably isn't that important.
That's just what they want us to think.
That has to be the most soul killing job in existence.
When Fascism comes to America, it will call itself Anti-Fascism, and tell you to give up your guns.
It turns out that if you take a newborn and don't have them interact with and learn from other humans they don't learn much and are also quite useless, so this would not be an argument against the idea that these systems are AI, but rather for it. It is not proof they are in fact AI, but it is certainly not proof that they aren't either.
Guns don't kill people; Physics kills people! - John Lithgow as Dick Solomon on Third Rock From The Sun
Most humans do need guidelines, and parents to enforce them in their early years, police a bit later on.
It will impact their profits?!? C'mon...Facebook doesn't deserve the profitability it currently has. I've said it before and I'll say it again, Newspapers wouldn't sell without the important news and ideas that journalists provide to be printed on their pages; nor would those newspaper companies make any money from advertisements. Guess what; journalists / content creators get paid.
Not so on Facebook. The people who post their content on Facebook, or the articles that we link to aren't being properly compensated. Facebook is effectively a monopoly or near monopoly of social networking and can demand higher rates from advertisers without giving back anything in return to those creating the content that people login to see. If anything, due to their massive user base, people are finding it *impossible* to use alternative sites because Facebook has become the method that entire social groups are now using to communicate. One person in a social group cannot simply leave and use a competing service because it would require their entire social group to leave as well. In that way, how is Facebook any different than the Bell companies that were broken up in the 80s due to anti-trust violations when people have no choice but to use the service?
We can see that there's an imbalance here simply by how profitable Facebook has become in such a short amount of time. That's only possible when you approach monopoly status and there's not enough competition to balance the equation.
With that said, it's a little ironic that they're going to complain that policing a system that they created to be highly susceptible to wide spread propaganda because it's going to impact their massive profits. Oh boo effing hoo. You expect us to cry for you when your system is causing harm to our Democracy?
Of course, some implementations work best with humans in the loop. Doesn't mean every piece of AI software will need it.
Actually that's exactly the point. EVERY piece of AI software DOES need it. In this case "humans in the loop" doesn't mean interacting with the program in real time, but it does mean that every single possible thing the computer can do must be programmed in some fashion. Computers don't "learn" either. They load a data set that was given to them in some way, and then they use their programmed algorithms to interpret that data set and perform an action based on it. It's that algorithm that is the "Intelligence" in the equation, and the part that is unchanging.
AI simply doesn't exist in the way anyone seems to think of it. Computers will ALWAYS do exactly what they are programmed to do, no more, no less. Unless something fundamentally changes, that's exactly what's going to continue to happen for the foreseeable future too.
We can prove that because you can take any program ever written, a person can follow the same algorithm, with the same data set and come to the same result every time (though a whole lot slower). If the data is outside what the algorithm is expecting, the computer won't adapt to it, it will continue to follow the exact same algorithm, even if it's no longer appropriate, until someone stops it, or it is unable to do so and crashes.
Feral children are what results from a human brain without human training.
Humans are born with a very plastic and adaptable brain.
WIth human training- it can be come a brain surgeon or theoretical mathematician.
Without human training- it eventually can't even learn to speak and is largely incapable of higher reasoning.
A.I. can't teach generally yet but properly configured once- it won't need humans again.
Just like humans.
She was like chocolate when she drank... semi-sweet at first and then increasingly bitter.
No.
Alphago and Alphago Zero are learning from experience of playing the game.
It's learning by definition. It's not a program. It's not doing loockups.
It's not programmed. The base conditions were set but other than some instrumentations, the humans don't know why Alphago does what it does because they haven't played 134,000 games of go since breakfast.
Alphago Zero surpassed every human grand master go player in less than 100 hours. Human go masters are now learning new plays from it and Alphago.
She was like chocolate when she drank... semi-sweet at first and then increasingly bitter.
No, it's not "learning" anything. It's a lookup table, it was programmed to run all the possible moves so that it can calculate which moves have the highest probability of success in every situation. It can beat a human because no human can remember that many possibilities and calculate them on the fly, but given enough time a human could follow the exact same algorithm and get the exact same results.
If you take that same program, without any modification, and tell it to play chess instead of go, it won't have a clue what to do because it is fundamentally incapable of playing any game other than the one it was programmed to play. It can't learn a new game because it can't actually learn anything at all. All it can do is follow it's programming.
They taught it how to play go by letting it watch games being played. The second version learned by playing against itself.
There are video game playing AIs that learn to play pac-man or other classics by trying things and seeing the results it makes on the screen. They don't even define where the score is, or even that there is a score. They let the algorithm figure out what makes for a better result and it learns to play the game with no rules given to it. If you give the same algorithm a new game it can learn that one just as easily.
If you take that same program, without any modification, and tell it to play chess instead of go, it won't have a clue what to do because it is fundamentally incapable of playing any game other than the one it was programmed to play. It can't learn a new game because it can't actually learn anything at all.
Doesn't sound like you have been paying attention to what the AI has been doing these days. And I do realize it is just a neural net that I myself would not consider to be intelligence. But it does show learning abilities without being programmed how to do things directly.
-- ssoorrrryy,, dduupplleexx sswwiittcchh oonn.. -Quote found on actual fortune cookie.
Your post shows you are completely ignorant of recent advances in A.I. research.
You need to go back to school.
Try the following.. read up on alphago and then go to youtube and watch Go masters observe and comment on Alphago's play.
Then read up on alphago zero.
When you can comment more intelligently than a chatbot... come back and make a more informed criticism.
There are significant limitations on A.I. but it's moving fast. It may never become conscious. Or we may develop an A.I. with emergent consciousness in under a decade. Or we may develop a better theory of consciousness which allows us to implement A.I. with consciousness.
But you are pretty clueless so you need to go back and learn some more.
She was like chocolate when she drank... semi-sweet at first and then increasingly bitter.
They taught it how to play go by letting it watch games being played. The second version learned by playing against itself.
So in other words, they inputted a lookup table.
There are video game playing AIs that learn to play pac-man or other classics by trying things and seeing the results it makes on the screen. They don't even define where the score is, or even that there is a score. They let the algorithm figure out what makes for a better result and it learns to play the game with no rules given to it. If you give the same algorithm a new game it can learn that one just as easily.
Except that's not at all how it works. You always are working from a data table. Either the table is from previous game play, in which case it will be incapable of performing any move that it has never seen done before, or the table is from playing against itself, in which case it needs to know the rules, and then will try to develop every possible combination of legal moves. Either way, it simply calculates from the table what move has the highest success rate for each situation.
In the first situation, you could put it in front of any game, and it would be able to mimic any move it has previously seen, but never come up with a new move that others haven't done before, in the second case it can do any legal move, including ones that nobody has seen before, but only because it has the rules and the lookup table. In that case it will be completely incapable of playing any other game, because the rules you gave it will be different. In fact it likely won't even be able to recognize the other game as needing to be played because it differs from the programming that it was given for the first game.
None of this would fit any definition of "intelligence" as we know it, unless you believe that "on a computer" is different from anything else, in which case you are also the problem with our patent system.
Doesn't sound like you have been paying attention to what the AI has been doing these days.
On the contrary, I've been paying close attention, and see that they have yet to come up with anything that includes even the most basic rudimentary intelligence. So far, about all they've managed to do is build lookup tables with fancy names and high dollar price tags. Anyone impressed with the "intelligence" behind them should have failed their first computer programming or digital logic class.
I've looked in to it.
Alphago impresses people because it manages to make moves they hadn't thought of. It can make those moves because it has a lookup table that it has built of as many possible moves as it could, and can calculate the likelihood of success of each move based on it's algorithm. It is no more intelligent than the paperweight sitting on my desk. You can't take Alphago and ask it to perform a completely different task without re-writing the underlying code because it's not actually capable of "learning" anything. All it can do is build a lookup table, and then look things up in it.
We *may* sometime in the future develop a form of AI, but as of right now there have been zero indications of it yet developed.
I'm not sure what you are calling a lookup table. Having an AI algorithm try things and remember what worked and what did not work does not sound like any kind of input table. The algorithm learns how to play by trying things out. I don't consider it intelligent, so I would suggest you stop confusing things by talking about unrelated things, this conversation is about learning, not about intelligence.
I remember one of the mario playing bots figured out some sort of cheat jump that it did not watch anyone play, because it was not fed any games that were played for it to learn. It found that if the turtle landed on marios head as he was falling in a jump (just after the peak of the jump) it would count as bouncing off of the turtle and kill it while bouncing mario up higher. It also learned to play several other games. This seems a direct opposite of what you said, "can only mimic any move it has previously seen". Or differs from your other statement, "completely incapable of playing any other game".
Unlike other AI programs, MarI/O wasn't taught anything before jumping into the game.
They did give the AI a fitness rating that increased the further to the right that Mario moved. So the rest of the game had to be learned. You would not even have to teach the AI about the buttons for jumping as it can figure that out by trial and error also. If you consider that a self-created database of actions that work to be a lookup table that was created by the programmers, then you have serious problems with your understanding of technical ideas.
-- ssoorrrryy,, dduupplleexx sswwiittcchh oonn.. -Quote found on actual fortune cookie.