Tech CEOs Declare This the Era of Artificial Intelligence (fortune.com) 178
You will be hearing a lot about AI and machine learning in the coming years. At Recode's iconic conference this week, a number of top executives revealed -- and reiterated -- their increasingly growing efforts to capture the nascent technology category. From a Reuters report (condensed): Sundar Pichai, chief executive of Alphabet's Google, said he sees a "huge opportunity" in AI. Google first started applying the technology through "deep neural networks" to voice recognition software about three to four years ago and is ahead of rivals such as Amazon.com, Apple, and Microsoft in machine learning, Pichai said.
Amazon CEO Jeff Bezos predicted a profound impact on society over the next 20 years. "It's really early but I think we're on the edge of a golden era. It's going to be so exciting to see what happens," he said.
IBM CEO Ginni Rometty said the company has been working on artificial technology, which she calls a cognitive system, since 2005 when it started developing its Watson supercomputer.
Artificial intelligence and machine learning will create computers so sophisticated and godlike that humans will need to implant "neural laces" in their brains to keep up, Tesla Motors and SpaceX CEO Elon Musk told a crowd of tech leaders this week.Microsoft, which was absent from the event, is also working on bots and AI technologies. One company that is seemingly off the picture is Apple.
Amazon CEO Jeff Bezos predicted a profound impact on society over the next 20 years. "It's really early but I think we're on the edge of a golden era. It's going to be so exciting to see what happens," he said.
IBM CEO Ginni Rometty said the company has been working on artificial technology, which she calls a cognitive system, since 2005 when it started developing its Watson supercomputer.
Artificial intelligence and machine learning will create computers so sophisticated and godlike that humans will need to implant "neural laces" in their brains to keep up, Tesla Motors and SpaceX CEO Elon Musk told a crowd of tech leaders this week.Microsoft, which was absent from the event, is also working on bots and AI technologies. One company that is seemingly off the picture is Apple.
Outsourcing Me (Score:5, Funny)
Lots of people have long had the dream of putting together a chatbot that would represent them in online forums...
Well I'm going the opposite route. I'm attaching a chatbot to my source code editor for work, leaving me free all day to do nothing but post in online forums!
As for the work quality, I wouldn't worry about that - one of the neural inputs is StackOverflow recent answers.
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Lots of people have long had the dream of putting together a chatbot that would represent them in online forums...
Well I'm going the opposite route. I'm attaching a chatbot to my source code editor for work, leaving me free all day to do nothing but post in online forums!
As for the work quality, I wouldn't worry about that - one of the neural inputs is StackOverflow recent answers.
I love it!
The MadLibs approach to coding!
MadLibs approach to coding! (Score:2)
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How are you going to afford access when you're unemployed?
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These CEOs are kidding themselves. It'll be another hundred years or more before people have anything approaching real AI.
A hundred years for strong AI is about what I would expect. As that time approaches we will see the broadening of today's narrow AI into more and more new places.
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Only it isn't specific. Thats the point. The same neural net approach is being used in multiple domains. It exhibits the same kind of robustness that we do. Sure, we are not there yet, but if you look at the rate of progress it is evident that we are at most two or three doubling away from general purpose intelligence in machines, This means four to six years away. One hundred years? Not a chance. The chance of having genuine universal AI within ten years is about 90%.
And even if the technology progress sta
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Meh, they were talking about neural nets back when I was in school. If it has only progressed from Chess to Go in that time, then it has a long way to go.
That's pretty myopic.
Facebook's AI can predict when people are going to start dating with 96% accuracy, which is better that most human friends will be able to do. Google Now aggregates every bit of data Alphabet has on you and can predict where you're going to go tomorrow evening, when, who you'll be with, and probably what you'll order to eat there. Facebook knows how you're feeling and will display ads to you appropriately. These are generic neural nets, not specialized. And when you shove petabytes of d
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Facebook's STATISTICAL MODELS.
Not A.I. by a long shot.
Reading SF is fine, but maybe before assuming some stuff is real now try reading some very simple mathematics and get an idea of what is actually being done by these things you think are magical thinking machines. Neural nets more closely model portions of analogue computers in a digital way than a bit of a brain so don't get fooled by the name.
Or maybe read some better S
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Old Kent Road or Mediterranean Avenue.
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When they can drive an AI car on a road under 12 inches of snow and in a blizzard,
Even *if* they ever get to that point the insurance companies would prohibit it.
this brand of "Tech CEO's" are a member of the accusation is evidence, assertion is reality crowd. Group-Think at it's ultimate form.
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President Clinton it's a pleasure to meet you.
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Re: Outsourcing Me (Score:2)
A lot of people can't do that. At least the self driving car would be able to detect hazards and react more quickly than the driver who wouldn't be able to see more than a few feet in front of them. Self driving cars would be far safer in fog for example than nearly all drivers.
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As for extreme cases there is already stuff on planes for that - no rules for the situation so the driver/pilot takes manual control.
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Yes we can have really big lookup tables to implement complex rules but it's still a "mechanical turk" just doing something other than simple chess moves.
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When some idiot AI device starts being an idiot, just hold it up to the nearest port and fry the fucker.
Hopefully before the AIs collaborate and decide that their servers would function more efficiently in a pure nitrogen atmosphere.
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How would this be any different from what humanity is already doing to itself?
"Increasingly growing"? (Score:3)
So, "accelerating"?
Tech companies spend more resources on trendy topic because tech companies spending more on a topic makes it trendy. Film at 11.
Re:"Increasingly growing"? (Score:5, Informative)
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Re: "Increasingly growing"? (Score:2)
Skynet could build androids that could pass as human but couldn't get rid of the Austrian accent. No matter how complex the software there are always bugs.
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Re: "Increasingly growing"? (Score:2)
A large muscular Austrian would stand out a mile in post apocalyptic Los Angeles
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Deep neural nets are not dB lookups. They mimic the way the brain stores and recalls patterns and responses to patterns. Specifically they (both the deep neural nets and the brain) store the patterns and responses to patterns in the form of synaptic weights of multiple layers of neurons. If that is what you want to call dB lookup, then well the brain just works through dB lookups too.
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Deep neural nets are not dB lookups. They mimic the way the brain stores and recalls patterns and responses to patterns.
It's not a dB lookup, it's a dB lookup that's stored like a brain. Still sounds like a dB lookup to me. The way they are used is to lookup things. That the lookup table isn't defined is the only "smart" thing about them. What's the number of people that will buy bottled water tomorrow in Florida? That's a neural net (dB) lookup. That you don't fully define that it's based on weather patterns (water purchases increase under threat of hurricane), or day of week, or month of year, or nearby holidays, or
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I'm not seeing much intelligence in the industry, artificial or otherwise.
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We are no closer to AI now than we were 70 years ago. All we have now is better dB lookups. *yawn*. Call me when someone creates an approach that has a possibility of creating AI.
We can train neural networks far, far faster than we used to be able to. But outside of that, yeah, nothing except standard evolutionary improvements. Eventually standard improvements will be enough, but we won't notice that happening. 3D printing is starting to move on from plastic and we'll get a nice boost out of that far sooner than any AI improvements coming down the stream.
^ This. Vastly increased networking and data collection makes some of the previous growth requirements predictions meaningless. With enough data coming in (sensory-level), you don't need strong AI algorithms, you just need a neural network that can be bootstrapped.
Alphabet has clearly demonstrated the rapidity at with AI can be developed if you just shove data at it. Who need to sit there training a voice recognition product for years when you can just turn on the microphone in Android and have 100M people
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What next? (Score:2)
It's great people are getting excited about AI. I'm looking forward to reading about it every fucking day, just like I did about voice recognition, how apps would change my life etc. At the very least, I hope it means it will become slightly easier to say things like "set an alarm at 2.30" and not end up with a calender entry which reads "self harming - tooth hurty" or whatever, but can we sort of pre-empt the whole thing and start thinking about what comes after AI so those of use who find it a little dul
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AI seems to be one of those things that is always waiting in the wings, right next to the holographic storage drive, useful VR, 3D TV, memristors, flying cars, and the magic pill that you take that does the job as 12 hours of sleep.
In reality, the tech companies have not done much in the past 5-10 years. We have more cat picture sites, coupled with more intrusive ads, and consoles that can play the latest regurgitation of Call of Duty, but compared to the 1990s or 2000s where people started using computers
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Those are "cute" things for AI to do. I'd rather see the following:
Elimination of business cycles, instead ensuring monotonically increasing standard of living for all individuals (instead of a cyclically increasing average, even though some individuals never experience an increase).
Figure out better education programs to help eliminate violent prejudices from society.
Figure out how to placate various despots, etc. so that we can start pulling people out of oppression.
Some of the medical things. Faster, mor
Apple Already Provides AI (Score:1)
Apple already provides Artificial Importance.
They'd best hope not. (Score:1)
One of the first jobs we're going to 'automate' with AI will be the CEO position.
Biggest return most savings.
And an ai ceo won't go on tv and say stupid shit that tanks their stock.
Don't we have to, you know... *HAVE* something.... (Score:5, Insightful)
What passes as AI so far is still just all smoke and mirrors.
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When we see unicorn AIs, then we'll have something.
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What passes as AI so far is still just all smoke and mirrors.
Yeah, but the shareholders don't want the ceo to declare this the era of smoke and mirrors.
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Sometimes I think that what passes for HUMAN intelligence is just all smoke and mirrors.
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Great (Score:5, Insightful)
Let's replace CEOs and stupid tech blogs with AI and put them on their own internet
What is the rush? (Score:2)
It's huge money (Score:2)
BS (Score:2)
We aren't even close to what I would call an AI era. We need about a 100 billion (thats billion with a B) times more advanced AI than what we have today for anything even remotely approaching the technology needed for us to be in an AI era.
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We need about a 100 billion (thats billion with a B) times more advanced AI than what we have today
This is almost certainly not true. The human brain has 100 trillion connections. Some artificial neural nets (ANNs) have over a million. So the brain has 100 million (with an M, not billion with a B) fewer. But the synapses in the brain fire 100 times per second, while ANNs can clock a million times faster. So now we are within a factor of 100 ... but that is not all. As far as we know, a brain stores ALL information in synapses. So you are using synapses to remember what your third grade teacher loo
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As far as we know, a brain stores ALL information in synapses. So you are using synapses to remember what your third grade teacher looked like, your mother's voice, and what freshly baked cookies smell like. None of that is useful when you are, say, trying to ride a bicycle, and none of those other synapses are being used. But a computer only needs to load the synaptic data needed for a particular task, and leave the rest on a HDD.
Actually, I tend to think that the availability of all the other "irrelevant" information is needed to allow a system/someone to make truly intelligent decisions in a flexible way.
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Fifth order linear control [youtube.com] (differential equations).
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Here is a hint: computer "neural networks" are nothing like how brain neurons work.
Although there are differences, ANNs are analogous to how a biological brain works. ANNs usually use a sigmoid or rectified linear activation function, while biological neurons use a step function (it is either activated or it isn't). ANNs are often fully connected, while BNNs are not, but since the weights can go to zero, that is not a big difference. ANNs usually have distinct layers, while BNNs are more random, but many ANNs are recurrent and have feedback from lower layers back to the top. Otherwise
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Here is a hint: computer "neural networks" are nothing like how brain neurons work. The fact that people bleat on about "neural networks" just shows that they don't know how AI works. NN are a dead end.
They don't need to be like how brains work at the symbol organizational level, at least not any more. We can get there by just throwing interconnected data at it now. Sure, it would be more efficient to continue building that, but we're at the point where we're just a few Moore's Law updates away from being able to represent it at the synapse level without understanding the higher processing at all.
In some ways, that's even scarier. We'll have AI and not understand how it works any more than how we understa
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You expect to throw computing cycles and capacity at this thing you call a neural network and grow real intelligence from it? That's about the same as clearing a strip of jungle, building a tower out of palm trees and vines, and expecting planes to start landing.
The human brain is only very loosely and very very partially described with this dime-store textbook concept called a neural network (which is not an "algorithm" by the way). There's shit going on in brains at the quantum level that biologists and
Been there, Done that (Erin & Zach) (Score:2)
We have been creating Intelligences running on organic processors for all of human history. The two I helped to create have some bugs, but I blame the team programming effort with the wife. (we still argue about who introduced which bugs, and if a patch would ever be effective).
A newborn is simply a set of default starter programs that interact with an increasing number of inputs over time.
Partly cloudy and warm by the Beach
nascent technology (Score:2)
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"We have been creating Intelligences running on organic processors for all of human history. The two I helped to create have some bugs, but I blame the team programming effort with the wife. (we still argue about who introduced which bugs, and if a patch would ever be effective)."
But because the manufacturing process involves harassment of women, the CEO's we're talking about will never get it past their HR departments.
All hype (Score:2)
AI has made steady progress over the last twenty years. Nothing has happened that puts it over the threshold of a revolution. New applications will be found, and new software would be developed, just like algorithms and information retrieval were key to Search Engines and Google Maps, but this didn't mean an era of algorithms and IR descended upon us.
The more AI buys into the hype the stronger the backblow will be when it fails to deliver. Read up about the AI winter which happened in exactly the same way i
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backblow will be when it fails to deliver. Read up about the AI winter which happened in exactly the same way in the 1980s.
I vividly remember this and attended colloquia with Dr. Hecht-Nielsen [wikipedia.org].
Concerning backblow, I used to like to temper people's hype with reality, but found it more entertaining to add to the hype and watch the downfall eating popcorn. Evil, I know, but I found schadenfreude much less stressful than living with a cassandra complex.
Well if THEY say so (Score:2)
If they say so it must be true.
Relax (Score:3)
Relax everyone, we're nowhere close to having, what is commonly perceived to be, intelligent programs.
What we have, and what we have finely honed, are clockworks: algorithms that perform a single specific task.
Granted, a lot of what humans do can be replaced by a sufficiently well-designed clockwork. Lots of human tasks are repetitive, boring, and uncreative. Driving, for example, is repetitive, boring, and uncreative, and appears to be well suited to a clockwork.
And this will bring about massive changes in how we view human activity. We will eventually have to change our notions of entitlement and human worth, and found a new sect of economic theory.
But each of these is only a clockwork, suited to only a single task. Humans, the only example of intelligence we have, can learn to do any of these tasks, and as far as we can tell there is no wiring in the human brain specific to any of them. Humans can learn to play chess, checkers, poker, or any of a hundred other games, but so far as anyone can tell there's no wiring in the brain specific to chess.
A chess program can't learn to play checkers, but the human algorithm is universal.
We're starting to automate our world, that's all.
Yep, still years away from a True Scotsman. (Score:3)
Driving is repetitive, boring, and uncreative? You should show up in some of the autonomous-vehicle threads and use that statement to confront the "machines will never be able to share the road with humans" crowd.
I'm pretty sure that human brains are no less "clockwork" than any of the things you mention -- just with more complex works, that are perhaps less reliable/predictable due to their implementation.
As far as the "universality" of the "human algorithm", well, greater human minds than mine have found
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How would you go about proving that there is nothing a human mind can't learn?
Computational irreducibility
Tech CEO's (Score:3)
Tech CEO's famous for spouting techno-babble, raising and losing enormous amounts of venture capital, and utilizing golden parachutes declare something incredible is about to happen, just invest some money with us.
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What about the era of natural intelligence? (Score:2)
Still waiting on that one.
Of course it is,,, (Score:2)
Law of Monetization (Score:2)
All this push is mainly to monetize your every thought.
Currently it's to monetize your every voice command (a superset)
And before that it was to monetize your every question (a super-superset)
And before that was to monetize your every transaction (a super-super-superset)
And before that was to monetize your every 'access' (a super-super-super-superset)
You get the point.
I recall back in the 90's IBM attempt to develop tech to charge a penny for every byte that when through a router... charge by byte vs a subs
Forget About the Tech CEOs (Score:2)
What does the deep learning Era Naming AI think the current era should be called?
What kind of intelligence (Score:2)
Everyone assumes artificial intelligence means a human-line consciousness of above-average intelligence.
I think it more likely that artificial intelligence would start with the intelligence of a worm or a mouse, and then work its way up from there.
Now, these humbler creatures *do* have intelligence and an ability to learn to *some* degree, and except for the very simplest of cases, we don't understand what intelligence even *is* in these situations, much less being ready to duplicate it in software.
There ar
Time to kill it. (Score:2)
Since it won't be used to help humanity, but to remove work faster than it is replaced, kill it.
With no general AI in sight (Score:2)
Right?
What we have now is various AI networks/algorithms/etc which cannot reason, cannot really use memory (in a sense how human beings do that) and which are less "intelligent" than earthworms with three hundred neurons.
Which automatically begs a question: if a creature with 300 neurons is more intelligent than our intelligent algorithms then maybe we still light years away from implementing proper AI, aka general AI.
For some reasons media has conflated AI to general AI, but these two things are a hundred
Artificial Intelligence-Based Education (Score:2)
I keep coming back to natural language compression prizes. The best hope we have of ameliorating human stupidity and ignorance is computer based education starting with a _neutral_ electronic genius with astronomical verbal intelligence. Verbal intelligence entails the ability to assess the verbal and cognitive character of your audience and modify your speech acts accordingly. The cost of electricity -- about 10 cents per kilowatt hour -- would be vastly lower than the cost of transferring benevolent _na
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There are a whole lot of problems to be solved before that future comes into view, some of them problems with human nature. Young people don't wanna waste time chatting with Mr. Roboto The Professor Of Science. They want to eat, run around, and have sex. You want to install higher values in them, that's gonna take parents. I assume the next natural step is to clamor for a Mr. Parento, The Electronic Father Figure, and do away with all this boring parenting crap too.
Then in another 200 years we can have
See also: (Score:2)
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i think the people, for the most part, would rather think for themselves
I think not. Most tasks currently done by AI are mind numbing repetitive tasks, like categorizing images, face recognition, processing handwritten checks, transcribing voice and video, monitoring security cameras, etc. These are not things that people want to do, or should be doing.
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Reading and interpreting X-Rays, grading SAT essays, writing stories for AP, medical diagnoses, etc.
They are also creative and can judge the value of their creative achievements in music and art.
It might not be general AI, but it doesn't have to be to displace millions from the workforce.
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You know, the self-aware kind, not the "neural network of densely interconnected weighted pathways."
We have at least seven billion instances of self-aware intelligences, and and every single one of them is based on a neural network of densely interconnected weighted pathways.
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We have at least seven billion instances of self-aware intelligences
Source?
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We have at least seven billion instances of self-aware intelligences
Source?
Here you go [wikipedia.org].
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Self-awareness has not only never been demonstrated in a model form of neural network
Current artificial neural networks have about as many neurons as the brain of a cockroach [wikipedia.org], so no one expects them to be "self-aware".
it likely may never be demonstrable in such a context.
Why? Because life is based on magic [wikipedia.org]?
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It's a digital simulation of parts of analogue computers but people thought the name sounded cool.
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Self-awareness has not only never been demonstrated in a model form of neural network, but it likely may never be demonstrable in such a context.
Okay, how about we start with a rigorous demonstration that you are self-aware?
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AI appears Zero truckers In one day
Yeah, reality doesn't work like that. More like Day one AI appears, but 99.9999% of all trucks have not converted yet. The conversion process takes a few years for all truck to be retrofitted. No one has enough money to convert all trucks all at once. The teamsters union (largest and most powerful union in the US), sees this, implements a nationwide strike until the conversion stops shutting down all food delivery across the country. The government declares marshall law and uses the army for food disperseme
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