YouSaid · the spoken record

Guy Swann

lines on the record: 110
first: 2023-09-20
most recent: 2023-09-20
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“And that his merchant services is having to do to basically put up a barrier to make sure that they're not constantly putting through fraudulent payments. They get that then get reversed. And worst of all, is not only do they get the money back, like not only does the money pull back, but there's like a 25 or 35 fee. It's basically like an overdraft fee every single time it happens. And he said literally thousands, thousands of charges a day. As soon as you just have access, like as soon as you just kind of open up the window, they just come in and merchant services and like companies like that just have to sort out how to do it. And then he was just and then he put underneath it and he says and Bitcoin payments. He's just like, they don't do anything. Like he doesn't think about it. There's not infrastructure for it. There's not like methodology for how to figure out which ones are real or not. They literally just put in Bitcoin payments and those are done. So this entire structure of things that they're having to do to protect against this fraud did again this is the best it's going to be. It's the best it's going to be forever going forward the easiest”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Again, that's now. That's now. In three years, but because of that, because API calls are increasingly going to be GPU intensive, like very computationally intensive and more and more expensive, we're going to have to have funding for all of this. We're going to have to pay for all of it. And we have to move money around in an environment where the fraud is getting worse. There's just not going to be a solution, I don't think, that makes it better. And so one of the things, in fact, this is actually one of the ones where somebody came up to me and gave me like an anecdote at Ditlock Boom that really reinforced this. And they were talking about they're running a merchant services that integrates both fiat and Bitcoin. And he had been, he was taking notes while he was listening to the talk. And this whole section about KYC was specifically, he was just like, oh my God, I hadn't thought about it like this, but you're absolutely right. And he's just started listing and thinking about all the things that they're doing to deal with credit card for fraud.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Hi, I'm Dod Swan. There's no misinformation, and I'm signing up for strike or, you know, whatever it is I got to do my selfie with.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Have you ever done the listen to this instead when you can't read it? So much worse. It's so much worse. I don't understand how that's like a solution to that anyway Having an image of them, like having a video of them, nope, being live, put somebody else's face on mine. I mean, you can live, make a cartoon and put yourself in a completely different environment. Like it's like this green screen stuff on steroids and change the voice live so that it even has like the cadence and the emphasis. And then if you can get $5 with $5, you can get a picture of their ID and get all their social security like any of their identifying information. Well, then how easy is it to make a picture of them holding up their ID or a note that says”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Then you can get it to read the captures. Capture's dead. You know, and you just make a new model, and if they change it, they're going to have a model that will be able to do it better than all humans before the humans catch on to figure out how to use the new thing.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“An agent that can literally go out, pay for services, and assess the best way to accomplish a task. Let me means that you can literally prompt an agent that's connected to the internet to go find all of the things necessary to accomplish this task. And the attacker cannot even know how to do it. The attacker can just ask the agent how to do it or to do it for them and given enough funds to make a return on who they're scamming. Captchas done. Like, I thought it was already in the bag because I had heard someone say that it was, I'm talking about like months and months ago. So I don't know if somebody was recreating this work, but it didn't matter. It was as soon as I was looking into it. There was another model that somebody came out with that can do captures better than anybody. I mean, instantly, like, like the whole idea of like, let's pay someone to do like as soon as you have the data set of like paying a bunch of people to do captures for you.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Something to talk, like if something serious happens, because if you get a call from a number you don't recognize or somebody gets SimSwap that you do know, and then you get a call from them and they sound exactly like them and they're telling you to wire money somewhere or there's an emergency and I just need $2,000 worth of Bitcoin sent to me or something something like that doesn't mean this this person you think you're talking to like my family has some safe words and I think it's prudent to start thinking about that because this attack vector is going to show up quicker than we think But anyway In that sense, all of our tools for digitally proven who you are or just that you are human you just gave an example of like a general LLM that can figure out which LLMs it might need to complete a task or which models it might need”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“It's nothing. Like somebody could call you up and you could be like, hello. And you're like, hey, can I talk to Billy Bob or whatever? It's like, I'm sorry. You have the wrong number. Thank you. Was enough. That's enough. Be wary of phone calls from anybody. And also in that same vein, I think a really, really prudent thing to do as we enter a space where you can't prove someone's human in any digital context anymore, that have a safe word.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Okay. Going back to what I said at the very beginning is that to get an ID and credit card information and stuff is literally just a handful of bucks per person online is, well, with just like one or two good pictures of that person. And it was funny, you originally needed like 30 seconds. One of the first ones, excuse me, 30 minutes of high quality audio, one of the first tools that I used for mimicking somebody else's voice. Like I had to, in fact, one of the ones that I used for the Matrix meme, I had to have five minutes. So it's like incrementally gotten less and less. But I had to go through a bunch of like Lawrence Fishburne interviews and all the scenes in the movie where there wasn't a lot of background noise and cut out like Lawrence Fishburne's conversation until I had five minutes of audio so that I could train it to sound like Lawrence Fishburne so I could make my matrix mean. It used to be 30 minutes of high quality audio then it was five I was like 10 seconds”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“To do all of it. Like, I just think that's just not sustainable. It's not suddenly fundamental reality isn't suddenly different when you turn into a piece of software.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Fundamental principles of reality and realize that AI doesn't negate these things, it doesn't change these things. It's just kind of a new layer of how we're able to digitize how we think as opposed to just like what we think about. That's the space that we've been in, right? We can digitize and store all the things that we think about the media, the text, like all of this stuff. Now we're digitizing how we think, the relationships between those things. I just don't think a general, like a massive general godlike AI that can do all of the things and understands all the things is even slightly computationally efficient. And I think it kind of falls apart as soon as it kind of exists because an entire ecosystem of specialized models that do all of these extremely explicit things as best as they possibly for the same reason in a market of a billion people specializing is a whole hell of a lot better than one giant government putting a boardroom of experts together.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“And so, like, the idea that we're going to have this giant godlike general intelligence that can just do and is capable of anything to everything we know about why evolution works. You know, like the idea isn't to just have maximum total intelligence in all fields. The idea is actually specialization so that you have the minimum required intelligence to accomplish your goal. And when we're facing something that we understand as poorly as these kind of black boxes of pattern recognition and this kind of like stored intelligence in software and data form, I think it's really, really useful to just kind of go back to basic fundamentals is, all right, how does order evolve, period? Like what are its characteristics? And I think if you just kind of take some”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Yes, and this is not only what we have seen specifically that everybody is taking advantage of their specific data set or their specific use case, but it also makes sense from a kind of general intelligence is not an efficient thing perspective. I talked about this. We talk about this a lot with Druv on the last episode of AI Unchained, actually, was just that the overhead of just being intelligent in like a thousand different ways when you're primarily using it for one or two is a lot of excess cost for no reason.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“500,000 investment can provide with a bigger than your normal consumer model and not have any restrictions, not have any restrictions and they can offer essentially the same sort of service That Google is offering. And we've seen exactly this too. Like there's not one LLM service out there. There's like one Apple platform, right? And then there's Google. And then there's one Apple Maps and there's one Google Maps. And then there's like maybe like one or two alternative map services and a lot of them just kind of pull data from the big ones, right? But there's LLMs everywhere.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“One of the things they ask is, how do I kill a process on my computer using the command line or whatever? And it responded, you shouldn't kill people, killing is bad. You should be nice and you should help people. It took the idea of kill and it said this is bad. So a basic function of like, I just want to know how to do a process to kill a command to kill a process. You have to go to some other model. So they're shooting themselves in the foot in this way, which is actually great for us. But where I think the 10 to 20 year timeline is, is that these are self-hosted and that it is increasingly going to go down to smaller and smaller individuals and contribute to the diseconomies of scale. But in the middle ground, where I think we're going to be in the next five to ten is an explosion of alternative services because there's no magic sauce that Google's LLM has that some company with 10 A100 NVIDIA cards, you know, with a 200,000.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Is specifically something that is going to feed back really, really fast, also more broadly with the scope of the ecosystem or environment that is using it. And actually the big billion dollar models are shooting themselves in the foot because they're also so worried about this thing being dangerous or biased or offensive that they're crippling it from being able to do so many things. And the LLM also doesn't have like a moral understanding of what these things are. They're trying to train it on the specific language. So like an example is that the code interpreter of ChatGPT, somebody uses that example. I don't know if they've fixed it or not, but they're obviously doing constant feedback. So they're trying to find that sweet spot. But I don't think there is. Like the idea of having unbiased model is just what kind of bias are you giving it? There's no such thing as the unbiased, right? But”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“But training the models from scratch is an incredibly difficult process. Taking a model that already exists and adding in some specific smaller training or adapting it based on new information and new input from a user base that's interacting with it and then retraining it with just like kind of an incremental improvement is a hell of a lot cheaper a lot Cheaper. So building on other”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“I guess I never really have, I haven't, I've been talking around the point rather than getting straight to it. So let me get straight to it. So, the big thing is that training the models from scratch is a horrific process. It's a really big process. Ask Alex Betsky. They've been training the spirit of Satoshi. It's not easy and it's costing a lot more than they went into it thinking, but they're finally getting like great results and like really liking the direction or whatever. It's just obviously a much larger scope of project than they had intended going into it, but they were committed.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“With the word cat, and it just so happens if you do that on a large enough, high quality enough data set, this essentially relatively simple math function in relationship to the data set. Can pull out an image of a cat and just poof an image of a cat.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“But what it has been trained on are a lot of different questions in which somebody has done some alliteration or explain the definition of alliteration and used an example. And so it understands the pattern of Kling, clang clang is very similar to bing bang bong when it comes to that sort of when the word alliteration or the word A, B, or C or whatever comes up in trying to describe those two things. It understands the pattern between them. So it's never actually able to pull out any specific data it was trained on, but it's able to mimic the relationship that huge amounts of data stored. So that's why like in an image diffuser, you can say cat and it understands if there's a black pixel here that there's probably a white pixel here or an orange pixel here, every single time it saw a picture of every time it saw a picture that was described.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“In massive, massive data sets. And it's why it can actually create relationships that don't actually exist. Like my question about Bibity Bopity cling clang clang is not actually in the data set, right? Like it's not, it's not been trained on somebody asking that exact question.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“What AI is doing, what these models are doing, whether it's an image diffusion or it's a language model or anything like that, is that it's making so many connections between the data that it's literally taking like different groups of words and even letters. And it's coming up with the probability of their relationship. Like it's just coming up. It's just making a bunch of percentages. then it can take those weights. It can take this huge essentially giant oversimplification of how all of this data looks. And it can't actually pull out any of the individual information. All it can do is store the most common and even at the edge the least common, but still most likely to show up if you give it enough words ahead of time, if you give a good prompt for the relationship between any and all words.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“So, a really dumb example, but it's essentially the same sort of concept. So that's what happens when you zip something. But when you unzip it, you don't get like sort of the file back. You get exactly the same thing you put into it, right? Like it's not lossy. It just trades storage space for computation.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“But a really useful analogy that I think is a very valuable is to think of this as like kind of a compression algorithm, like a really, really intense compression algorithm for relationships instead of hard-coded data. So, like when you zip something, what you're doing is basically you're using a math problem so that you can pull out a lot of information with computation. You have to unzip it. Imagine you can just one plus five plus five plus ten plus four is 25. And if you have like that math problem and you like fill in variables, you can actually just store the 25 and the math and the function or whatever that you use rather than like the six data points or whatever it is, right? Got”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“It's writing to and from the hard drive. Like the model has already been built by somebody else off the, you know, an enormous data set. And then you downloaded the weights Interesting way to think about it that I have yet to be contradicted on. I'm sure somebody who understands this in greater detail is going to be like, that's an inaccurate analogy. But I think it's useful. And depending on the response I get from the person who does tell me I'm wrong about it, I'll probably keep using it. If I think, you know, it's like I've used analogies for explaining Bitcoin or whatever and then like a Bitcoin developer will come in and be like, well, that's not exactly right, blah, blah, blah. And I'm like, well, what you said is just kind of nuance to the analogy. But I think the overall picture is actually right. the evil of specificity and nuance kind of obscures the how the bigger picture sometimes”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“They don't change something about their model, like the subscription model just doesn't work very well. And they'll probably figure out how to monetize it. They'll probably turn it around like it's just a terrible trajectory right now. But the thing is, is if they start charging too much, like I do have a subscription just because I really like the tool and I'm trying to play around with as many of them as I can before I sort out my structure and my machine and everything. And I also want to have a good comparison for how to make use of a lot of these things. But if they started charging me like $100 a month, I just use open source. Like I have GPT for all on my computer. Like I run the local one. It's different. I guess not as good as ChatGPT because they have a massive model with a massive amount of GPU power, but it's good enough to keep doing a lot of what I'm doing.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“I think there's definitely an element there and a lot of different companies will try to entice as many users as they can to their platform. But the thing that I was mentioning here is that our interaction is becoming computationally heavy. And so normal API calls are going to start costing money. real money and they've essentially been free up until now free to the point that we could easily just kind of like stick an advertisement in our experience and then that was enough to just kind of make everything freeloaded you know like just make everything sunk cost essentially the entire internet infrastructure is a sunk cost to get ads right And that's going to change a lot with LLMs. And OpenAI is a great example Billion dollars, and they're going to be out of money by the end of like middle 2024 if they don't.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Because of that, that deeper level of understanding, I think AI is going to be our primary, particularly large language models, is going to be our primary mode of interacting with machines. It's going to be an interface in the same way that when I say when Bitcoin is a consensus mechanism and I say it's a lot more like a clock than it is a payment system like Visa. Well, in that same sense, or in a similar way at least, I think AI is a lot more like the keyboard and the mouse than it is Photoshop. It's a window through which we're going to look at and use all of our other programs and applications, not necessarily the program itself that we're after.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Yes, I think because the limitation is purely GPU, it's computation, which oddly enough, it's creating a service, it's creating kind of a software architecture or ecosystem that is interestingly a lot like has a lot of the same characteristics of proof of work because how we interact now with or how we will be interacting with our information and with our network graphs and all of these things will actually be up to now. It hasn't been a heavy computational thing. It's been an organizational and indexing thing, you know, that sort of stuff is we basically have ways of shortcutting through everything. But in order to get a deeper, deeper level of understanding, kind of an intellectual pulling intellectual patterns out of it because the scope of information has just gotten larger and larger and larger until we're losing things in our indexes.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“And so that was a huge thing. And that Google engineer was specifically like he just, part of the article is just like two-thirds of the article, actually. He's just like this list of like this happened. We were certain this wasn't going to work, then it happened like a week later. And you were never going to be able to run a Raspberry Pi. Here's a link to the guy running on Raspberry Pi. It was just like one thing after the other. It's just like them centralizing it and being certain that it wasn't going to. They knew how the space was going to be. It's just kind of that same thing as any person can be arrogant and be certain that they understand the whole picture. But when you let this information out to people, when you release it and you get a million people looking at it, it's just we don't know anything.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Where we have no moat is they were saying that these things would never run on a consumer machine and you'd never be able to do that. You have to have a billion dollars and giant corporation. And so there's going to be this huge lock-in effect. And it was like days. It was like days after llama was leaked. The metas data set, they had it running on a computer, like a basic consumer hardware. And even though it's slow as all get out, they even got in, I think it was like three weeks before they got it running on a Raspberry Pi. Just like with like heavy quantization, basically the open source community, the tool is so useful that there's so many eyes on it and so many brains thinking about how to make it better and more efficient is that they just figure out how to break up the information. And maybe they have to write to and from the hard drive the whole time to get it to work on a really, really crappy piece of machinery, but they can run them on potatoes and they just can or toasters, whatever.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Data set that ended up their results were getting better just because they had a greater scope of site. Whereas Yahoo was still doing it manually and kind of failing at their script version and they weren't prioritizing it because they were just trying to hire more people to manually decide what category of this went in, et cetera, et cetera. Well, we kind of have that same thing going on in AI right now is that you just can't manually do this at the scale of the data you need to do training sets. But then there's also like the models aren't like DLMs being a good example is there's also tons of different weighting and tons of different modes of thinking about the data that are going to fundamentally change how we do this. Like I actually think we're kind of in a plateau right now. We've kind of reached a point where there's this like seven billion to 16 billion parameter models that are out there now that you can run on a consumer machine. And that was one of the other big things is the article I was talking about.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“We now use software abstraction to a hardware abstraction that is insanely fine tuned after thousands and thousands and thousands of iterations to even operate at that level. Well, it's kind of the same way when we're talking about a billion pieces of information. There's no way to manually put this together. So the trick is, A, how to use the AI tools we already have, and B, how to use where do you pull the information from because you simply can't put human eyes like you can't like hire a group of, it's like Yahoo originally did manual search and Google found out a way to do it with script back in the late 90s and Yahoo had much better results when the internet was tiny. There was just a point where they could keep iterating on the script. And as it got like slightly better and slightly better, got closer and closer to what Yahoo's results were, but they could do it on such a larger.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“But you go through it slowly and you just go over and over and over again. And in that sense, there's just one of the big pieces of the puzzle is just finding good data. And because you have to use machines to sort the data. It's like having to use a machine in order to design your circuit or your chip because you've now got so many individual elements on the chip that you couldn't possibly design it without a computer. Nobody can lay out a billion keto of a billion individuals.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“There's a handful of different things, actually. I mean, to some degree, there are elements to that. And in the process, like I'm still kind of in the middle of my journey, I come at this from a very novice or like promature, pro amateur, you know, like I kind of a prosumer position. In the same way that I'm not a developer and I can't build computer components or I don't know circuitry, I can buy a bunch of different components and put them together and make a custom machine. I put myself in the sort of prosumer level and there's still a lot about the models and how these things work that I don't understand. But I'm in the process of reading a bunch of research papers that are about a third percent totally obscured. Like I don't know what I'm reading, but I'm still gleaning more and more information from everyone. It's kind of like what I did with the lightning white paper. First time I read it, I had no idea what the hell I was reading. And about the fifth time, a couple of big pieces started to close.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“And he did like one tenth of the parameters. He did it on like one tenth of the data set, and he actually beat Google Bard in some sort of like quality test or like a user response test. And it was just because he found a really, really clever way to organize the information. So is this”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Turns out the one with the trillion parameters was dumber than the one with 100 billion. And the reason is because quality matters over quantity. And this is becoming a major piece of the puzzle is how do you curate information? It's a whole lot better to train, it's actually better to train it on a billion parameters of extremely high quality material and get really solid human feedback to continue to iterate for some span of time than it is to just get 100 billion parameters of whatever random information that you can. I mean, garbage in, garbage out applies. That's the simplest way to put it. And because of that, and I think there was actually a competition that I read about, there was an article about the story about a dude who made a smaller model. I mean, we're still talking about like, you know, $100,000, $200,000 to train these things. We're not talking about like a small amount of GPU power, but there's a far, far cry from you need a billion dollars to do any.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“There's just tons and tons of data sets out there, like basically a bunch of people have curated these data sets. There's like official data sets. And also there's a really important element that has come into play that was not initially understood and certainly wasn't part of the narrative is that a great example is what I talked about with the 100 billion versus, oh, this one's got a trillion parameters and now it's going to be smarter than all humans.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Think about it. First off, there's no network effect. And a great example of why, or great example to just kind of see its outcome is OpenAI had the, you know, have you ever seen that chart of like a platform or a new service or whatever to a million users? You see the chart and it's like Facebook is like, oh, I did it in just like a few years and blah, blah, blah. And then you see OpenAI, it's just straight up. It's like, I think it was like 24 hours, sub 24 hours to a million users. And now they have in June, they had 1.7 billion visitors to chat GPT, to the website. But in July, they had 1.5. That's a pretty significant decline. And this is also the same period in which we have just had this explosion of alternative models. And the nature of the LLMs, one of the”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Google executive memo that was sent around titled We have no moat and neither does open AI. And he was talking about some of the fundamental characteristics of how large language models and image diffusion models work and the fact that all of these kind of like lock-in network effects, this like if you're on Twitter, it's really hard to leave Twitter. If you're on the Apple platform, it's really hard to leave the Apple platform. naturally like locking us into certain silos or certain platforms effects that a lot of these other technologies have had because we don't have protocols for them don't apply they don't apply why is that that's”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Basically, yeah. And that was scary. I was like, this could undo what Bitcoin is doing unless we get ahead of this. I actually now think that despite the fact that there will be elements of centralizing forces in AI, I actually think this will contribute more to the diseconomies of scale of the giant corporate setup and the government institutions far more to the diseconomies of scale than the economies of scale. in the sense that the bigger you are, the less it helps you. And one of the most amazing things, the article that really kind of tipped me over the edge, I started kind of seeing this picture and I was like, wait a second, this is not quite what it's made out to be. But the one that kind of like kind of put the nail in the coffin for me on like, this is the way I need to take this and like this is this is the way Bitcoiners need to take this was the article that was leaked from”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Image being painted, this picture being painted for us that said only the giant corporations are going to have this and anybody less than a billion dollars just these won't exist”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Yes. And that's what I thought. That's what I thought at first AI is going to be this horrible centralizing force. And especially the way it was talked about in the mainstream media. Man, we have to really make the conversation about open source and self-hosting as loud as possible. And I could not find a good source. So I was like, all right, well, I'm just going to take my journey in finding sources and I'm just going to turn it into a show so that I can kind of save the trouble for everybody else, or at least the 100 people that listen to the show, whatever it is. The other thing that I would constantly hear in the mainstream media is that only big company, and this was also the narrative around like we have to make it safe and we have to make it unoffensive and all of these things unbiased, which is just an idiotic idea, but is that the reason it was so important we did this is because, or we took that approach to it, is because this was only going to be run by a bunch of giant corporations. Oh, this model has 100 billion parameters and we're going to train it on a trillion parameters. And this is how many neural connections there are in the human brain is going to be smarter than us. And like all this kind of like general stuff. So there was this.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“How much we are being manipulated in the digital environment. And when you add AI to that mix, that's going to make that problem just shockingly, shockingly worse. Not to mention the level of Panopticon sort of surveillance and nightmare you're talking about, the greater, because the whole point, the whole wave that these things are incredibly useful tools is by giving them access to everything. Like so if Google has contextual analysis or a contextual based window, one that literally it can understand by knowing what alliterations I use and what like code or a little tagging system that I use on my computer to assess the information that I'm saving and the ideas that I'm talking about, that's a nightmare.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Piece of evidence comes out, and I can easily find it on Google and then turns out that piece of evidence is really convenient for some mainstream narrative and three weeks later, I can't find it on Google. It just gets suppressed in all the different ways that they can suppress it. And so I want that link. So I've just kind of been doing this for years and it's slowly gotten worse and worse and worse over the years. And I generally started doing this during the Iraq war with like a bunch of anti-war links and stuff. And that's when I learned the trick of like if I take a VPN and I'm I say I connect into Germany or I connect through Russia or whatever, I get completely different search results for the exact same Search terms. And that's when I started realizing in another, at a whole nother level.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“I went back to it and I asked ChatGPT, and I was like, I can't remember what it was called. I just know that it's something simple, and it starts with an O. And what keeps popping into my mind is the UCLA speed testing, even though I know that's not what the name of it is. And it was literally just like, you're looking, I think you're looking for Oklo nuclear, whatever. Here's their Wikipedia page, blah, blah, blah. And like, so it knew immediately that it could make that connection. And so anyway, those are just kind of examples of how powerful these things could be. And I think it's, especially with LLMs for kind of search and pulling information together that's like lost. Like let's say in 2020, I started one of the things, one thing that I do is I save notes or links or articles, but all sorts of stuff. The A, either I'm trying to go back to or B are like a piece of evidence because, I mean, God knows how many times like”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“So, like, you can generally ask it via alliteration what sounds like this. And one example I use a lot is Oklo is a nuclear power plant company. And they've created like kind of a modular design that's far safer, requires far less ongoing maintenance, and can essentially be set up in smaller units. So it just are more efficient and smaller setup of the design. But and they were actually partnering with like Bitcoin companies. But I couldn't remember the name of it. All I could remember was Ukla Speed Test. And so I literally just said that. I was like, I'm looking for a company that I cannot remember. And I searched it. I searched it on Google, Doug, Guck Go, Brave, like all the different ones being like, what was the thing? And every time I typed in something that was wrong, it just, it literally took me further away from what I was looking for. And I was like, wait a second, Chad GPT. This was like one of the first times that I realized that I could do this type of question.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“The patterns, I shit you not. I even asked it for lyrics of a song that I was trying to remember. And I could only remember like two or three words, but I remembered the cadence. I remembered the cadence of the rest of the phrase in the song. And so I just said it sounds like this. And I was just like bippity bopity boop boop. And then put in the words that I remembered. And I said it was a rap song and it was this. And I just gave it enough detail and it says, Were you meaning this? And it literally gave me back exactly what I was looking for because it knew it understood the pattern of the that I was simply asking for the emphasis that I was asking for the syllable breakdown, so to speak, of what the words sounded like.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“Don't buy it again, but I try to find it on Torrent or whatever, just so that I can search it because I'm not going to read it again. But I just want to be able to get access to that information. But sometimes I can't even, I don't even know exactly what I'm searching for. I kind of like have a contextual vague idea of what I'm looking for. Like, for example, I don't remember the country. I don't remember the specific time period or something it was, but I remember just some of the details. That's actually been one of the greatest things about like the LLMs, the large language models in search and like perplexity AI and then even just like asking chat GPT general questions is I can ask things that are totally off the wall that I would ask a person and you can't possibly ask Google or some sort of straight index of information and get the answer yeah but the language model can make the connections between the patterns if you specifically say”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT
“But what are those seven data points? Where the hell are they? And I can't, that evidence is just gone, but I know and I can't search it. But imagine if you had like an AI contextual, like just listening to what you were listening to and you could just literally search through the transcription of the thing. In fact, I've been kind of doing this manually by the audiobooks and then I go online. I try to find the ebooks.”
2023-09-20 · We Study Billionaires · BTC148: Bitcoin and AI w/ Guy Swann (Bitcoin Podcast) · IDENTIFIED FROM THE TRANSCRIPT