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The BS-Industrial Complex of Phony A.I.

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Re: The BS-Industrial Complex of Phony A.I.

#172
post #144

Earlier quoted context omitted.

Verification is easy, just like with humans. It's called a driver's license. And since the AI does not tire and can probably be sped up, you can put it through hundreds of thousands of hours of driving quickly in a good simulator with adversarial and normal situations, then rate it at various tasks. Just like we should do with human drivers, but fail to. Explanation is harder. But we probably shouldn't care, even in…

In the world of investments, that would be called buzzwordily as “back testing”. But is it sufficient to answer _why_ the machine chose to act a certain way given a certain set of instantaneous input criteria?

No. But, as the parent post said, we don't always know why a human driver chose to act a certain way either. So that shouldn't be a blocker.

Re: The BS-Industrial Complex of Phony A.I.

#173
post #162
post #73

At the Biennale in Venice (one of the most important art shows there is) I saw a work which looked like this: There was a metal frame holding two glas plates with ventian sediment inbetween (sand, soil, mud). In the center there was another metal frame which formed a hole. There also were to PCB boards with ATMEGA micro controllers. In the text the artist claimed she controlled the biome of the soil with an AI using…

>all that counts is that you call it AI even if it is a simple algorithm Is that incorrect though? I think a lot of people here are making a lot of assumptions about a very vague and ill-defined term. To me it seems like AI is just a way of saying that a program is capable of making decisions. There is no implicit tie-in to machine learning or neural networks or anything like that. These decisions can come from 5 lin…

If we start calling sorting algorithms artifical intelligence, then the term losses its last bit of meaning and becomes synonymous with algorithm.

Re: The BS-Industrial Complex of Phony A.I.

#174
Imho it has gone further. In a way, all the things described as not actually AI now "are" AI, because the term AI has been used in that way so many times.

I don't think we'll ever use a better (more accurate) term for the ML- and data-driven value current systems create. Instead "true" AI will get a new fancy name to build the next hype around in several year.

Re: The BS-Industrial Complex of Phony A.I.

#176

Earlier quoted context omitted.

Just like not all astrophysicists reach Nobel prize level achievements not all machine-learning graduates will innovate in their field. But to help you out, in order to find people who are likely to innovate, find out if that is their goal. If it is not then you know not to hire them. But if that's their goal, maybe start some kind of "program" where you give these people a chance. 6 months. A year maybe. If the are…

Sorry if I wasn't clear, our problems are CRUD at modest scale. There is little room for the application of machine learning.

> There is little room for the application of machine learning

You see people trying to shoehorn ML into many such system though, and there is money in it, which is why people are chasing it to have it on their CVs.

Like the noSQL hype of a some years ago it'll settle down and people will gravitate back more towards the right tool for the job (which will sometimes be ML based, but often not, just as "noSQL" is sometimes the right tool or right enough). ML will survive where it is the best tool for the job, or at least where it can be genuinely useful and not significantly sub-optimal.

> our problems are CRUD at modest scale.

I see some of our client base looking into ML and "Big Data", and I despair a little because they often fail badly at getting "little data" correct. It is actually part of the sales pitch for ML: let the AI filter out the crap in your inputs and give you something approximating a decent answer as output. They'd be much better served working on fixing the data sources or using more traditional cleansing methods, but that seems like harder work compared to the new magic some consultant is extolling. ML isn't a magic bullet, but it is currently being sold as one.

Re: The BS-Industrial Complex of Phony A.I.

#177
post #148

I think honestly think westworld (yes the tv-series) has the best explanation of why general intelligence is a hard problem to solve. They mention consciousness but I think the same apply to intelligence in general. Humans in my mind aren't different from say a program you write except that we have a lot more input and possible outputs depending on a much larger variant of external variables. If we could build machin…

I find this analysis reductionist. You're basically saying "brains aren't hard to reproduce once you have biological sensors and actuators." Why not? They're _extremely_ delicate, intricate organs. Claim 2 is also a difficult one: of course you can easily claim consciousness doesn't exist, but it is impossible to argue by logic. You need a metaphysical philosophical framework, and then it's already left the realm of…

I'm not sure the claim is that consciousness doesn't exist. More that it is an emergent property of complex systems rather than something that is (or can be) deliberately programmed.

Re: The BS-Industrial Complex of Phony A.I.

#178
post #73

At the Biennale in Venice (one of the most important art shows there is) I saw a work which looked like this: There was a metal frame holding two glas plates with ventian sediment inbetween (sand, soil, mud). In the center there was another metal frame which formed a hole. There also were to PCB boards with ATMEGA micro controllers. In the text the artist claimed she controlled the biome of the soil with an AI using…

Good observation. This has happened with the word robot for many years. It is AI time now. :(

Re: The BS-Industrial Complex of Phony A.I.

#179

The author seems confused about what artificial general intelligence is. People have not meaningfully moved towards AGI - it's still a distant pipe dream. The closest we've gotten is probably a Dota bot that's pretty good as long as you give the bot a huge advantage. Which is an incredible piece of technology, but about as close to AGI as an ant is to a human.

Not even an ant. If AGI is a human then what we have is the equivalent of synthetic RNA molecules.

What? Ants don’t have general intelligence, and even ant colonies’ decision making (= simple swarm intelligence) is readily replicable in a programmed system, and has been, for a while.

I don’t think a gradual scale is very helpful because I don’t think that the progression from current-generation AI to AGI is going to be gradual (it will require at least one paradigm shift). That said, if you want to compare AI progress to actual animals then our current-gen AI way beyond ants. Note that, while we haven’t fully mapped the neurons/connectome of ants yet, this is unnecessary to emulate their decision-making power. And we have mapped (and can simulate) the full connectome of simpler animals (e.g. C. elegans, P. dumerilii) so we’re definitely a long way beyond single molecules.

Re: The BS-Industrial Complex of Phony A.I.

#180
post #120
post #72

Earlier quoted context omitted.

AGI is not needed for self-driving. None of what is mentioned above is a deal-breaker for self-driving car service: - lidar at night works just fine - plenty of cities with no or very little snow - construction zones: blacklisting, remote monitoring & manual mapping, detection of cones, barriers, re-painted lanes - self-driving cars with 360 degree view and plenty of patience and no distraction are safer for bicyclis…

> plenty of cities with no or very little snow But what happens that rare day it snows? Hundreds of deads? Cars get recalled for much less than that.

There have been a bunch of prototype self driving cars driving in snow. I'm not sure it's fundamentally a much different problem to self driving in general. eg https://www.engadget.com/2018/05/08/waymo-snow-navigation/

Sure they may perform worse in snow but humans do too.

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