Clif High - Artificial Intelligence is retarded.

Dec. 13, 2023 - Clif High

31:08

Artificial Intelligence is retarded.

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit clifhigh.substack.com

Large

Audio Only |

Scroll

Time	Text
	Hello humans.
	Hello humans.
	So the 13th of December.
	Early in the morning.
	Gotta go do chores.
	One small little stop to make a payment to some um soil engineers for some work.
	And uh just regular chores after that.
	uh traffic stuff right off the bat here okay So it's an interesting time.
	We've got our splits happening.
	Um, you know, the I mean we got Alex Jones back on uh Twitter, so um you know it's all the world's ending, there's no question about that.
	Um anyway, so how do I get across this idea?
	Alright, so uh I've been playing with artificial intelligence uh ever since it's been um uh generally available for you know like civilians not people in the companies to get involved with it.
	Um you know it's impressive to a certain extent, and then it fails.
	Um so for instance, you can get it to do a um oh really good picture, right?
	You could describe it, you can tell it what you want, you can say, okay, you know, we're you can and actually I've done this repeatedly trying to work around some of the problems with AI, and um the all right, so we don't have artificial general intelligence.
	That in my opinion, uh in my definition, is uh where the you can teach the artificial intelligence to learn on its own.
	Uh man, this gets into some real technical stuff, and um let me see how I'm gonna frame this.
	Alright, so so here's the thing.
	Um let's let's look at the symptom and then we'll look at the cause.
	Alright, so the symptom is that you can do a picture with AI, and uh you can do a very incredibly detailed picture, you can do it photorealistic, uh, it'll do all kinds of cool stuff that way.
	And then you go back and you tell it using that same, so you're gonna develop a um a cartoon character, okay?
	And so say we were gonna develop a um uh you know, like a version of um uh Roadrunner and Coyote, okay, and so we'll call this um uh woodpecker and um fox, all right.
	So we're gonna do a cartoon and we're gonna have a character that's a woodpecker and a character that's a fox.
	And we go to AI and we say, okay, AI, you um uh you do this for us, right?
	And you um you make this uh make this uh character for us, and it'll come out, you got just a beautiful character, it's just what you want.
	You know, maybe it takes you three or four or five iterations to get it to zero in on it, and uh, and it gets you this character that you want, and then you put the character into a scene uh in an image, and then since you're gonna be making a whole series of cartoons and stuff, you want to make the next image with that character.
	And so you tell it, you know, you tell the AI, take this character and make it do this now.
	You know, instead of uh running away from the fox, um, you make it fly, okay?
	And so um it uh it's gonna fly for you.
	And that's when you discover the real problem of AI, that AI has no ability, it has no memory, and it has no ability to do um sequential instructions.
	Uh so um uh this is this is well what it ends up being, uh hang on, I got people and dogs and weird shit going on here.
	Hang on, crawling in and out of the woods.
	That's not good.
	Well, maybe they're mushroom hunters or something.
	Anyway, um so it can't, because it doesn't have a memory, it does not does not hold in its um, so to speak, mind, it doesn't hold the image that it just created.
	In fact, it can't see the image.
	All it can do is issue instructions to uh code uh which then produce the image uh for you, but the AI has no comprehension, it has no mentition at all, uh doesn't cogitate, and it doesn't have any visual um uh mechanisms, so it doesn't know what it actually created for you in the way of uh of an image.
	Thus, when you go back and you tell it take that that um uh woodpecker and make him now uh fly up in the air away from the fox as the fox is chasing him, it will do that.
	It will create you a new scene with a woodpecker flying away from a fox, but it won't be the same woodpecker and it won't be the same fox.
	And by the way, every time you get an image, every time you get an image, uh a cartoon image, a photorealistic image, all this kind of stuff out of AI, there's shit in the image you did not put in there that you didn't want to have go in there, uh you want it to have fewer elements.
	Uh so you could tell it um uh make an image of uh and this is this is gonna happen on every image, okay, and you could tell it uh make an image of uh Joe Normy on um at a cocktail party on the fan tail of a big yacht,
	okay, and it'll do that, and then you say, Well, shit, you know, why are there 45 people all around and why is why is there's this big giant person standing on the um uh you know the poop deck, and why are these two people hanging over the edge, and you know, basically why is there just this extraneous leg and a foot sticking out from the side of the boat?
	So AI puts shit in there because it has no visual acuity and has no memory and it has no uh discrimination or control.
	And so what happens is this um AI works as data.
	So in creating an image, uh you have to go through what's known as the large language model where uh where AI sort of understands um spoken language or you know, like uh uh it allows you to speak to it as though it were a personality, okay.
	And uh, you know, where you can tell the AI do this as opposed to actually having to write computer code, and so the AI then interprets your language to see what you want, and then it it has uh resources, you know, hooks into uh image generating program, etc.
	etc.
	that it uses, and so it will then take these all these various elements and it will do its best to come up with some instructions that when those instructions hit that uh image generating program, it will generate what you want.
	But AI is not a discrete um integral uh uh cogitation, so it's not a mind, all right.
	So uh AI works by these things called neural nets, and um and you have to train it, and you train it on data, and the more data you can get the more trained it is, but that training is not persistent uh beyond a certain point, and has no mentition and is in fact an overlay, a network, that's why they call it a neural net.
	It's a network of individual um indices uh that are linked up to uh various levels of um interpretive code, various levels of code to interpret what it thinks that uh or what it has uh linked up to.
	So the neural net uh doesn't exist as a mind, it's not sitting there thinking when you're not asking anything of it, it's just there, right?
	There is no there's no there, there's no sense of self, there's no sense of um, there's no sensation at all, there's no um internal uh point of integrity for the AI.
	So there the AI does not think of itself, it has no concept of itself, it can't uh say, I exist here.
	It can say that because you could ask it questions that would elicit that response out of the interpretation of the large language model.
	Um...
	But it's not going to actually have mentition.
	It's not actually going to have thinking involved in the process at all.
	So it's not able to be repetitious.
	Alright.
	So it can't repeat something, and it can't repeat something with a variant.
	It can repeat general concepts to a variant, but not any details that you may care wish to carry forward.
	This is the same kind of limitation that prevents AI from being able to do math.
	AI is terrible at math.
	It can't add shit worth a damn.
	It can't run an accumulator, you know, it so it can't count.
	So you can you can have it create an image and then you can feed that image back into it and say, how many people are in this image?
	And it can go through and examine, but uh how it's going to interpret the question uh is going to be variant from what you think, and uh because you have to be somewhat explicit, right?
	Don't count the extraneous legs sticking out of the uh yacht uh put in there by the image generation program as a people.
	So, you know, you got to get into some level of specifics on these fuckers.
	And they and the AI, like I say, can't accumulate, it can't add.
	There is some sort of a big breakthrough they thought they had at um chat GPT towards a what they call an AGI uh artificial general intelligence.
	So an artificial general intelligence is one that you initially train with your neural net, but thereafter it has the capacity to continue training itself without you having to participate in it.
	And see, this is what scares everybody.
	Uh, you know, all these people that are managers, funders, uh, you know, pundits, uh, social um uh analysts, that kind of thing that are out there saying AI is gonna come and you know and harvest all humans and we're all toast.
	All right, what scares them is the ability for AI to have mentition and to have cognition and to be able to train itself.
	Uh, you know, in my opinion, that that will never be done.
	It can't do that.
	Um, especially not with these uh interlacing indices approach via neural nets.
	And so so this will reach a dead end, and it's a fun little toy, but it's not, and and we can use it for some really good stuff, right?
	So um uh getting us away from images, you can use AI for uh analysis very effectively because you're not attempting an analysis to to tell it to do a task and then repeat the task or accumulate around that task.
	So you're not asking it to do anything that uh a human could do in the sense of um you know maintaining a focus in the moment and carrying forward thoughts from one moment to the next uh in their basic form and then altering them in the next moment, kind of a thing, right?
	So humans can accumulate, uh, humans can do cognition at that level of thinking, and AI does not just because of the nature of the neural nets and the fact that it is basically just forming all these indices.
	Uh, you know, it's a giant database of indexes.
	These indexes go to other databases and uh chunks of code and all different other kinds of stuff that allow it to function and to um uh mimic speaking with a human, it does not mimic human intelligence and it does not mimic intelligence intelligence, right?
	What it is is a um display that basically mim uh understands articulation and is able to mimic articulation, you know, it can speak to you.
	And they've got various little things in there for um, you know, making you think it has a personality.
	Uh so AI is not in when you interact with AI, you don't necessarily have to use any code at all.
	You can do that kind of thing if you're at that level of uh interacting with the AIs, like if you're training them or that sort of thing.
	You can write code on the fly and uh even have the AI write the code for you, and then insert it into the process reboot, and there you go.
	So you can so AI provides all kinds of cool tools to us, can do incredible analysis.
	So you can give it a photograph and you can tell it uh you know, ask it, is this photograph artificially generated?
	And it has ways of analyzing all the photographic levels that you can't uh you could not compete with just in terms of both speed and and detail, and it can come back and say, Yes, there are these artifacts within the photograph that suggest that data was put in after the file itself was uh created and sealed, and so then you would know, aha, this photo had been tampered.
	Uh, you could use it to uh analyze uh accounting, it's really good at that, right?
	So you could use AI as an auditor, and it finds shit like you would not believe.
	Um so if I were an auditor, I would get into AI seriously.
	The reason I'm bringing all this AI shit up is that I've become involved with a couple of different groups here of people that are um uh moving into AI either as investors or as um uh owners, right?
	Some people that want to own an AI for their own purposes, and I'm helping them out.
	Um there's all right, so there's a couple of different kinds of AI in a general sense now.
	So we have this, it's not artificial general intelligence.
	We don't have any AGI.
	In my opinion, if we're gonna achieve that, it will be from a spectacular breakthrough that is not predictable, and uh thereafter we would be off on a totally different kind of uh AI technology.
	Now, that having been said, there are a couple of different kinds of AI out there.
	Uh, one of the AI kinds is where they train the AI and they write the code for the artificial uh intelligence large language model interaction, but and then they get it all set up and they actually build in uh the ability uh for it to train itself on specific data sets.
	So that's the kind of AI you could use for uh specific tasks like um writing law stuff, right?
	Like writing suits or responding to a suit or writing a motion or something like this.
	Um these kind of AIs can also be used to do um accounting.
	So I've seen a couple of these guys that are the these AIs now that are um uh what they call an API, right?
	Uh application programming interface where you take um somebody else's AI and you throw out all of the after it's been trained and stuff and you throw out all of the guts of it, uh, the stuff it's actually been trained on, make it uh basically um, I guess I'm gonna say naked,
	uh you know, it has no real data in it, it just understands how to train itself given some data, and then you put in um the data that you would like, and then it can you can tell it to train itself on accounting, or you could tell it to train itself on you know um engineering analysis or something like this,
	and so but you have to train it, you have to supply the data sets, and of course, there's potential for um wonkiness there, uh, because if you don't provide an uh adequately broad enough or deep enough data set for it to train on, it will make huge mistakes.
	Now, as I was saying earlier about the uh pictures where you might get, you know, one giant guy on a boat and everybody else look like regular humans, and then a couple of extra legs or an arm or something like that uh sticking through the side of the boat.
	Um those kind of errors are continuous and constant with AI.
	So everything you do with AI, you've got to double check.
	Uh if you're doing anything that's like serious work, like an audit or you are gonna do a court case.
	Now it'll get the verbiage right, you know, the pleading to the court, it'll get the Appropriate proceeding um uh format, it'll stay to the word limit you set on the um on the document you're trying to create, this sort of thing.
	But if it's going to give you a legal citation, you'd better damn well look that legal citation up yourself and make sure it actually says what uh the AI tells you that uh it says because frequently it does not, and this happens, and and all the AI guys that run these things will tell you these fuckers are wrong a lot.
	Double check every fucking thing, especially if it involves any of these kinds of elements, such as um you know, adding something up or um going to a specific uh that you're gonna need to rely on.
	So I've actually seen court cases now that have been chucked out way in the beginning because the uh this was at a um uh I think it was the state prosecutor, I don't think it was county, I think it was state.
	Anyway, this uh this court case was thrown out uh right at the very beginning of it because the prosecutor used an AI to generate some forms, and the AI put in some references to some uh legal cases in support of this case, and those cases didn't exist, they were bogus, it just made it up.
	So the thing is they say that AI lies, right?
	But that's not true because AI has no concept of what is factual and what is not, and so uh it just is responding to what it what its indices find.
	And because you're shoveling in as the trainer, because you're shoveling in vast quantities of data, basically attempting to shove in so much data that you get this uh near cogitation effect out of the indices.
	Um, you're not really sure, you can't actually validate that all of the data is factual and is worth looking at, and in fact, you're taking a an approach of saying, well, you know, we're gonna assume that you know eight to ten percent of the shit we're shoveling into this is bogus,
	but we're just basically hoping that the the 90% that that we think is good and valid will uh will swamp the bogus shit so we don't have that many errors, and that's that's fundamentally how they're operating.
	Um it's an interesting business, it's uh it's really cool in a lot of ways.
	Um I'm working with this one group that's gonna be doing investing into the AI business using AI, and what they're gonna do, uh, and they're asking my assistance here in developing what are called prompt injections.
	I'll tell you about those in a second.
	But um, they're asking me to help them uh develop a script basically that will instruct the AI for what to look for in um the news and um you know commentary and this kind of thing about various different forms or various different companies and their AI work that would allow these guys to decide okay,
	so these this AI company and you know in Indonesia here is doing really good stuff, and so we'll invest a little bit of money in that uh this sort of thing, right?
	So they're using it at that level, so they're using AI to analyze in order to be able to invest in AI in a long-term um plan.
	These guys are gonna be buying stock, and they know the stock market's just gonna crash out.
	They know the stocks are gonna just absolutely uh shit themselves, and that most of them will be toilet paper when all this is done.
	These guys are buying stocks, but hey, get this, they are demanding delivery of the certificates, and boy, if they run into problems.
	So when the system crashes, almost none of the stock you own will ever be able to be given to you.
	Okay, so you own a rehypothecated chunk of digitry.
	So you buy, let's just say ATT stock.
	You don't actually own any ATT stock.
	You've got some digits in a in a brokerage somewhere where they say they're gonna sell that they're gonna provide to you ATT stock on demand if you ever demand it, but they uh they're assuming you'll never ever demand it, and they've sold that same chunk of stock to who knows how many other people.
	Uh, one guy says that it's quite likely that there are literally Hundreds of thousands of rehypothecated uh uh individual shares in any given company.
	So all the brokerages buy one one share of ATT stock and then they sell it over and over and over and over and over and over and over again because nobody ever demands delivery of the actual item, they're just always dealing with the derivative, which is the representation of that stock at the exchange, whoever they're dealing with, right?
	At the broker, the dealer, or the exchange.
	So, anyway, as this all unfolds, um, my clients know that the ability to um or that the the whole stock derivative thing, right, is gonna crash out and will have to be replaced by actual uh stock ownership at some level, so they'll have to you know start delivering to you some form of um of a stock certificate, this sort of thing, right?
	Because we've got to get back to uh real goods, real value.
	We can't live in this artificial derivative world um any longer, and the whole whole artificial delivery or artificial um uh derivative world is is collapsing at at all these different levels because it's all based on fiat, and so basically the stock exchange is a fiat version of a stock exchange, right?
	There's no real there.
	Uh things will operate entirely differently when we have a um return to actual assets and value as we go through this this transition period, which will take many years to get all sorted out.
	But initially, you know, most of the big troubles are gonna be felt in like a six to eight month period of time, and then there'll be another 18 months after that, another you know, uh 36 months after that of gradually uh getting shit worked out and dampening down uh all of the problems.
	Anyway, so we'll be able to use AI in this process of cleaning all this shit up.
	So I expect that when uh we get conservatives back into um uh positions of power within the uh constitutional republics that they'll start doing things like using AI to analyze uh news reports and track down all the statements that you know XYZ um anchor news anchor made, line it up with the events that were actually going on and see where they were bribed, etc.
	etc.
	You can use AI to suss out all different kinds of stuff as an analytical tool, as a creative tool, it ain't worth shit.
	Uh, but as an analytical tool, hey, I don't think you can beat it.
	I mean, really, really, really cool if you use it right.
	You have to be aware of the problems of it and so on, you know, the fact that it it they say AI lies to you.
	Well, it's it's not lying, it's not it's just simply reporting the same level of confidence on on it these indices, which happen to be non-factual as any other indices that it's got relative to reporting data to you.
	So uh, you know, so they're again they're putting a personality, a human uh touch on this that is not uh valid that that uh shouldn't be there.
	Yeah, I see that bastard.
	Um car people doing weird shit out here.
	Uh, we had a fatal accident in front of my house, and then like uh that was a vaccine, and then maybe it was less than so it's like less than two weeks, so maybe it was like 10 days.
	Uh, we had a um uh another vaccine that led to uh two fatalities uh in our area, and then just yesterday we saw um I don't know what the hell it was, but boy, the staters were screaming north, um local county guys going north, uh aid cars hitting on up, you know, just going like bats out of hell, sirens lights, all of this sort of thing.
	So I don't know what what was going on up there, uh, but we've got some nasty vaccine nasty drivers around here.
	So I I give everybody a huge uh oh, there we go again.
	There's another um uh sheriff.
	Oh, he had lights and shit going.
	Oh, okay, all right.
	He wasn't that serious about it.
	Anyway, we just wanted to see if we'd all move.
	Anyway, so um, so AI, it's useful stuff.
	I enjoy playing with it.
	Um, you know, getting into investigating the various companies is gonna be interesting, and uh the various different kinds of approaches to this um AGI uh is also gonna be interesting.
	Uh it's a good goal.
	I I we've got real problems in getting there, and these guys, I think, in my opinion, uh, that are doing the neural net training and the structure they've got, they won't reach that goal.
	Okay, they're not gonna get an AGI out of the approach they're taking at this moment.
	Uh I've got a lot of reasons for uh suggesting that and go into them at some point.
	But uh I encourage everybody to you know go get a uh a free trial on like Chat GPT or uh any of these other AIs.
	I was offered a chance, and I'm dealing with um, I was offered a uh an opportunity to deal with a couple of these AIs where it's a blank slate and you load your own data.
	So again, very tedious, right?
	Because in order to get quality uh in the way of a um indices and a uh response out of it, you've got to have um uh quality and quantity on your data going in.
	And so, what I want to do with the uh one AI, which is being provided the access is being provided to me by um uh a Russian corporation.
	Um what I want to do is I want to uh train the bugger uh to do like my alter reports, right?
	To go out and analyze and this kind of thing.
	Hugely complicated task training an AI to do this, but I believe the I believe it's worthwhile.
	I believe the AI could could eliminate uh vast quantities of the tedium and the actual work that my process used to take.
	Uh but it's you know, it might take me six eight months to train the thing.
	I don't know.
	Um if it's even possible to do this particular model.
	This and you don't know until you get into it some distance into its uh function to see if indeed it has the uh capacity to achieve what you want.
	You know, but I'm retired, it's it's not like a big investment for me to put four or five months into it and then have it crap out because I'll learn a lot in the process anyway.
	Um what the hell, dude.
	He turned against the light, just took a left into this.
	Oh my god, no wonder we have so many vaccines.
	Um so anyway, I'm getting close to my first stop here.
	I'm gonna go in and get some um over at home depot and get some uh of that uh paint you spray on the ground, and you know, the little orange string for uh and stuff for making uh for surveying and laying out uh your building.
	Anyway, uh then a bunch of other crap.
	Uh so it's kind of a strange day here.
	Uh-oh.
	What have you done there, people?
	No, no, no, no, no, no, no.
	Hold still.
	Uh so anyway.
	Uh okay, guys.
	Uh anyway, watch out for the AI.
	It always fucks up, makes mistakes, but it's a useful tool.
	I and I'm not particularly scared of it.
	I don't worry about AI, and I sure as fuck don't worry about um alien AI floating through the air and and taking over.
	So, you know, I I mean I shouldn't get on Carrie Cassidy's case, you know, she's got gut fears, she doesn't understand, she doesn't program.
	But anyway, um AI is cool, uh, it's very uh useful, and it uh extremely useful if you're a programmer.
	Uh so it's very worth uh pursuing.
	It's not really scary, and it's not very reliable.

▲