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The Myth of AI – Jaron Lanier

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Re: The Myth of AI – Jaron Lanier

#31

Earlier quoted context omitted.

That's a religious position. We have absolutely no idea what consciousness is or how it works. More than that, we have don't even have ad hoc good models for motivation and personality, never mind useful formal and explicit models. I think Lanier is absolutely right, and I think there's a strong quasi-theological element running through all of AI and programming. Programming is a lot like making spells and incantatio…

> That's a religious position. We have absolutely no idea what consciousness is or how it works. Well we know that it exists, or at the very least seem to exists. And there is nothing in the physical word that we have understood so far that cannot be ultimatly expressed computationally—even if it’s usually not the most useful formalism. It is of course somewhat a leap of faith to then say _everything_ is computation…

It is of course somewhat a leap of faith to then say _everything_ is computation (or can be expressed as computation)

You don't need any kind of leap of faith to actually start working on it. That's the wonderful thing about AI and AGI more broadly. You can actually go work on it, today. Are you going to solve it immediately? Of course not, but at least you can chip away at the problems.

Re: The Myth of AI – Jaron Lanier

#32

I think Jaron knows what many engineers who have worked on AI know: That the external promise of AI is far more inflated than the capability of the actual technology. It's simply that when the current technology gets just complicated enough for the above-average person to no longer understand, everyone starts assigning magical properties and expectations to it. This results in short term over-valuations, which inevit…

Actually, it's not as inflated as you might imagine. For example, extend Deep Minds work on video games to a fully simulated 3D environment of a factory. Now, have Deep Mind learn to 'play the factory' to produce goods (starting off with the current process as the baseline). Suddenly, the potential gets pretty exciting. Assuming of course, the AI doesn't get control of the Factory by accident and does something terri…

You comment is already forecasting, overvaluing, and then presently justifying yourself using guesses based on a technology you likely don't fully understand.

Re: The Myth of AI – Jaron Lanier

#33
There is a point in the article which the author kind of glosses over that is really important. A lot of the bots (Siri, Cortana, Slack bot, etc...) are refined through free data provided by the masses. These systems get smarter at what they do, essentially for free.

And his second point, that once an AI understands it users preferences, it ability to change slows down because unlike when it started, it ignores virgin data, and only follows what hit has been taught. That is a huge potential issue. Seems like a topic ripe for researchers in Machine learning to jump on.

Re: The Myth of AI – Jaron Lanier

#34
It is, in some sense, a very simple problem. When and if we advance to the point that AI algorithms are themselves capable of writing AI algorithms, what happens then? Quantify (albeit vaguely) the rate at which AI algorithms can improve AI algorithms. If that number turns out to be roughly as slow as human beings, there's no significant problem. If it turns out that number is greatly larger than human beings, that's a problem.

It is not particularly clear than the number is large; hard problem is hard. No sarcasm; arguably "general intelligence" is the hardest possibly engineering problem. Adding a bit more intelligence to the problem when it will already be getting worked on by a lot of humans may not move the needle much to speak of at all. But it is not particularly clear that that rate is small either, though; humans are smart, yet at the same time, really dumb in a lot of ways. We have terrible working memory (7 +/- 2 items is absurdly small). We have lots of irrational biases. We have lots of things to do in our lives that are not "thinking" (eating, sleeping, etc.), and the vast majority of our brain is dedicated to those problems, not rational thought. We are terrible at manipulating vast symbol systems without taking immense shortcuts, which inevitably completely color our manipulations. What happens when something that lacks those restrictions is turned loose on the problem of writing AI algorithms?

Heck if I know. I'm a human too.

I honestly think that those people who are utterly convinced the rate must necessarily be slow are just as wrong as those who are utterly convinced it must necessarily be fast. We really don't know, but it is hardly an invalid concern.

So far, AI algorithms have not written very many AI algorithms. I've seen some toys where one AI algorithm is hooked up to tune another one, but I'm not sure if any of them have ever been practically useful. (All I know is all the ones I've personally seen have amounted to toys.) And the system as a whole is generally constrained by what the final AI algorithm can output anyhow; if the domain and range of the AI function are immutably fixed, there's not much the AI-meta-system can do to "escape" and do anything terribly nasty.

I do think we're still a ways away from this being an issue. AI is currently still very much constrained to problems a great deal simpler than "writing AI algorithms", which is right up there with the hardest possible things that human intelligences are currently capable of, and that only to a rare few highly trained and highly talented individuals. We're easily decades away from this problem. But when the day comes, well, I wouldn't bet on the self-improving AI experiencing multiple orders-of-magnitude improvement in mere minutes, but I'd sure hate to bet the future of the species that it's not possible. It is not unreasonable to be concerned that the knee could be very steep. We'll know more as we get closer.

Re: The Myth of AI – Jaron Lanier

#35

There is a point in the article which the author kind of glosses over that is really important. A lot of the bots (Siri, Cortana, Slack bot, etc...) are refined through free data provided by the masses. These systems get smarter at what they do, essentially for free. And his second point, that once an AI understands it users preferences, it ability to change slows down because unlike when it started, it ignores virgi…

He might have seemed to gloss over it because he's written an entire book about it called "Who Own's the Future".

Re: The Myth of AI – Jaron Lanier

#36
post #3

"There has been a domineering subculture—that's been the most wealthy, prolific, and influential subculture in the technical world—that for a long time has not only promoted the idea that there's an equivalence between algorithms and life, and certain algorithms and people, but a historical determinism that we're inevitably making computers that will be smarter and better than us and will take over from us." On a dif…

With regard to "vestigial monotheism": I think what you're describing is just a property of discourses in general, in that they're all built around bodies of knowledge which have fixed points [assumptions/truths/whatever], and that participants act in such a way as to keep those things stable.

Definitely seen things like this before, very poignant. Not to knock on Kurzweil and friends too hard [lots of interesting stuff in both spaces obviously], but I've had this vibe from talking with self-described Singularitarians as well (there's some overlap between those circles).

Re: The Myth of AI – Jaron Lanier

#37

Earlier quoted context omitted.

Because it's based in faith that something will happen, not a rational determination based on facts on hand.

What? We are actually building this stuff... It's about as much faith as Doug Englebart had about the PC.

No, we're building ELIZA with larger databases. You can't take any research we have on hand today and say "a natural extension of this leads to consciousness". Part of that is because we don't even understand what consciousness is. Part of that is because we don't have any realistic work beyond pattern matching.

That's why it's not rational. There is no fact you can exploit to come to this conclusion. That's called "faith", regardless of the particular subject matter.

A little faith is important. We didn't know if the first astronauts would survive orbit, and we didn't really have any data to prove it unequivocally. We just had faith that our limited understanding wasn't missing anything and the only way we could find out would be to put people in orbit. We found out soon enough.

But it's really, really a bad idea to call something rational when it's really faith, just because you don't want to be associated with religion.

Re: The Myth of AI – Jaron Lanier

#38
post #3

"There has been a domineering subculture—that's been the most wealthy, prolific, and influential subculture in the technical world—that for a long time has not only promoted the idea that there's an equivalence between algorithms and life, and certain algorithms and people, but a historical determinism that we're inevitably making computers that will be smarter and better than us and will take over from us." On a dif…

vestigial monotheism That's a fantastic metaphor. I'm curious though how someone could act in a religious manner about a self-driving car. To the original point though, I am very much in the camp of "historical determinism that we're inevitably making computers that will be smarter and better than us" and here is why: I believe that intelligence (and "consciousness" if you want to go down that rabbit hole) is complet…

I did a poor job of providing examples of religious behavior, but as history shows people can believe and behave in a religious manner about most anything. Including self-driving cars.

I took a comparative world religion a long time ago; I can't easily find the handy behavior list we had to memorize. We were taught something vaguely Mandaville-ian, I don't know if that outlook is still current and cool, but at least you can find Mandaville's opinion in the wikipedia. The "aspects" section of the wikipedia religion article would be a good start.

Shared faith based belief in the inevitability of some rather objectively unrealistic future outcome, in this case "We're all gonna use self driving cars", critically based solely on faith. A mythology, using the "a story that is important for the group whether or not it is objectively or provably true" wiki definition, where progress has always happened in the past and therefore will always happen in the future, when reality is progress only comes from obtaining and using energy, and our petroleum is running out while our population expands, so you do the math on the realistic future trajectory of progress, furthermore there's no question in the religion about the narrative that progress necessarily automatically equals self driving cars, instead of "busses and trains and subways" or not commuting at all or whatever. There's a fair amount of superstition involved aka everything the general public or journalists say about anything technical, legal, or economic WRT the topic of self driving cars, they're just making unreasoned noises at each other. Its always accompanied by extensive and exhaustive ethical baggage, in this case about preferred lifestyles, the value of work, urban planning, as if the self driving car is actually important relative to VPN deployment or subsidized public transit or star trek style transporters, yet despite its irrelevance there's a great pile of associated ethical baggage and related extreme judgment. There's a strong self policing society, where certain aspects of the religion are strongly amplified via endless ceremonial repetition, and the not-devout-enough are tossed out or punished via ridicule or otherwise.

Note that you can discuss self driving cars in non-religious ways, much as you can scientifically study aspects of a religion. That doesn't mean the adherents are not thinking/believing, communicating, and organizing in a religious style or manner, that just means you looked at them from a non-religious perspective.

Some historical religions being a little hard to believe in the modern scientific world, doesn't mean all religions are false; quite possibly we will have self driving cars in the future. That future success won't be a disproof of past observational behavior, under the "walks like a duck, quacks like a duck, it IS a duck" doctrine of what is a religion. Praying to each other for deliverance in the form of a self driving car won't bring it here any faster, but if it does somehow arrive anyway, the physical manifestation of that idol/miracle doesn't prove the praying was the cause of the effect/idol/miracle.

Re: The Myth of AI – Jaron Lanier

#39
post #20

Earlier quoted context omitted.

While I don't agree with Lanier, being an AI skeptic isn't quite the same as saying that self driving cars can't happen: we don't yet have a good understanding of either consciousness or tractable general optimization algorithms, so it's still possible that there's something that will make it impossible. Unlikely, perhaps, but possible. Also, your sarcasm about the self driving car might have been too subtle. ;)

What you see with respect to self-driving cars IMO is a lot of people who SO want them to exist that they assign timelines that are so optimistic they'd be rolling on the floor laughing if applied to projects they had direct familiarity with. Of course, it's also fueled by a lot of hype and hand-wavy statements about exponential growth and the like. Like many other aspects of AI, I'm not sure just about anyone thinks…

I'm a little confused. We have self-driving cars. Of course there are still corner cases and bugs and regulatory issues, but cars have driven for fair distances on existing roads without a human driving. I had assumed, therefore, that the point @VLM was making was that, like self-driving cars, we already have AI by many of the standards of earlier AI researchers (the "when it works, it's not called AI any longer" argument).

Re: The Myth of AI – Jaron Lanier

#40

I think Jaron knows what many engineers who have worked on AI know: That the external promise of AI is far more inflated than the capability of the actual technology. It's simply that when the current technology gets just complicated enough for the above-average person to no longer understand, everyone starts assigning magical properties and expectations to it. This results in short term over-valuations, which inevit…

Actually, it's not as inflated as you might imagine. For example, extend Deep Minds work on video games to a fully simulated 3D environment of a factory. Now, have Deep Mind learn to 'play the factory' to produce goods (starting off with the current process as the baseline). Suddenly, the potential gets pretty exciting. Assuming of course, the AI doesn't get control of the Factory by accident and does something terri…

Reinforcement learning isn't magic pixie dust that suddenly solves AI.

One thing we often do is assume for some compact subproblem that AI will offer massive optimizations relative to our current human baseline. However it often turns out that engineers have spent enough time to do a good enough job that the relative improvement is either not existant or small when focused on optimizing subcomponents of a system. With your video game reference there are some games that q learning does better than humans and others that does worse. For the factory floor I know data scientists and industrial engineers run optimizations to increase productivity and reduce costs. With their constraints it becomes hard or impossible for any algorithm to find a much more optimal solution especially when their problem is convex where the human generated solution is provably globally optimal.

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