artificial intelligence

Here’s the answer: Approximate Transcript: In this video is about how long it takes to install and set up and use and get using GPT. For All. For all this is supposed to be one of the easiest, if not the easiest, it’s just an uninstaller. Basically, I haven’t done any research other than you know, I think I watched a video on it a couple weeks ago. And I have these two lakes. So let’s see how long this takes to just get it going. And I’m I pause the video a few times, which is why I’m doing the stopwatch just for your convenience, but so that we can keep an honest time of okay, how long does this really take? Alright, let’s go. So I’m not maybe I should read this, but I’m just I’m not going to I mean, because it’s text on a computer that somebody wants me to read therefore I will not read it. There’s just too much I can’t be bothered with five whole sentences. Alright, so it’s installing it on my computer Yes, I definitely read the license okay. Alright, so I installed it. Let’s see okay, so hold on, I’m going to pause the video to pull up the folder. Didn’t see that it left a little shortcut on my desktop. Looks like that. So I spent 30 seconds looking for something available models. I don’t know anything about this or will download that to the groovy one. See how long that takes I’ll pause the video considering trying to click on this although it looks like it’s kind of grayed out so I was thinking maybe I could go through the options while this download here. Let’s just see what happens Nope. Okay, so that took about a minute it just got done downloading it and maybe a little bit longer. And to be clear, this is Windows 10 that um, the music on here I’ll pull up I was trying to pull up my computer settings but it didn’t work I already installed Okay, so now we click here. Let’s just see 10 And you’re done. Ninja cowboy the let’s just see how it got since he goes through it without going into any settings just at its base level. And this is a pretty nice computer but uh you know it’s not like the best computer in the world either. Okay, well that’s not very useful so let’s click on the settings here remember how many threads My computer has my processor it’s a lot Okay, so it took us about three and a half minutes to get to here but I’m not sure how useful this is. But this right knee home like you about basketball like you are you’re just bliss so very fast to install Okay, here we go. I’m not sure it is getting the like you are Yoda thing but it’s getting some of it was about to say I don’t know how useful it is because it didn’t this this first response is pretty bad. I’m an injury cowboy. How do I do it doesn’t really move forward. But this at least is writing a poem about basketball. Not really doing it Yoda styles but that’s that’s pretty tough one I think it’s also a little a little bit slow here on this, let’s just stop generating because I feel like it’s degenerated enough. I wonder if the any of these other models are better. If I can just click download and then let it do that in the background and then select it later. So is there a new conversation if I just want to start a fresh one? As summarized above, wonderful it’ll actually do that. I’m trying to see if it like reads up their temperature maximum length if it actually goes up so I mean, like start to finish with me spending 30 seconds looking for something that was right For my face about three and a half, four minutes to actually be up and running, which is pretty, pretty great. But trying to decide if it’s actually very useful now if it’s not useful it’s probably very close I think that these models these these models that you’re able to download and install on your computer or have gotten are getting much better very quickly and I feel like you know with the the ability to use GPT for to train this would be this can be grown very quickly to a level on par with GE GPD for it seems like technically that’s against their terms of service but if people are just doing this not to sell it just to give it away, then I don’t really see what they what they can do about it or how they can even prove it. I guess the way in which they train it it might there might be like oh clearly this person is doing a lot of training was shut them down. So it did not get this one. All right, well very easy to install questionable value. They will play with it in a different in a different video and show you kind of like what its pros and cons are. And let me know if you’re interested in that. Please leave a comment below. Let me know and do I do read all those comments and try to respond to most if not all of them. Thank you very much and have a good day.  

There’s a lot of BS & hype out there right now about AI. In this video I attempt to cut through the BS and identify the reality. Approximate Transcript: Hi, this video is about AI BS versus AI reality. There’s actually this really, I thought really well done video by this comedian, I can’t remember his name. But this is what he looks like that I thought was actually really thoughtful and really well done a lot of ways. And he had a lot of points about things that I think were were practical and realistic. But that also sometimes, I think, missed the point and missed the conclusion. And so I thought it would be useful to shoot a separate video talking about some of the stuff that is BS, because he brings up a lot of valid points. And I do recommend you watch it, especially if you’re feeling too high on AI, and you think it’s like the best thing ever, when a kid is going to be able to do everything. And you also, you know, find yourself wondering, like, is this really AI? And this is a valid point that he brings up, you know, he says it’s a real field of computer science. But a lot of what we’re seeing right now is AI marketing, where people just slap ai ai on things. And I think I remember I saw a picture a political cartoon where basically somebody had named a book AI about AI, and then the company paid for it because it had AI in there. It’s a really funny joke about like, AI, pizza, AI, volume Nam, stuff like that. That is just sort of like hey, just trying to market things and say it because it’s hot right now. This is any kind of compares it to like crypto in the metaverse. So I’d say the metaverse is dead. Crypto, and they made over promises. I don’t know if it really if there’s really a potential there for it to do is nearly as much value as some of the people that talked about it. Additionally, you know, there’s a lot of jokes going around. There’s a lot of people who were super into crypto that are now super into their crypto experts, and now they’re AI experts. And that’s not me, I never really was that interested in crypto. I did have some Bitcoins that I sold at about between 42 and $45,000 when it was at that point, and I was never really a super big believer in crypto, just because I didn’t really it just wasn’t obvious to me. That doesn’t mean that there isn’t there. It wasn’t obvious to me like the kind of the broad applications for it. It did seem like it seemed like there was some potential with the blockchain. But there’s still some major issues with the blockchain. So I think crypto being people being disappointed in it is accurate. And the metaverse I don’t even like immediately dismissed. I don’t even really know what really what the objective was there. I thought that was even dumber. And I remember hearing something like Disney had like a team of 20 or 50 people who were just for the metaverse, which is kind of crazy to me that they laid off as the metaverse basically is dead. And that he talks about like an AI D DJ. I like his term AI tech bros, which I’m not sure if I count is that probably not the game a little bit more reasonable. I’m not trying to say AI does everything it may be I do sometimes say that just to be joking. With the 42 robots thing, it’s a reference to, to Hitchhiker’s Guide to the Galaxy, among other things, and we’re, you know, AI is the answer to life and everything. And to some degree, it has the potential to do that. But, you know, I think he also acknowledges that there, there are some genuine benefits for it. So I’m going to go into some a lot of his criticisms of AI in specifics and point out where I think he’s wrong and where I think he’s right or, or maybe something a lot of cases just kind of half, right. I still don’t like this, he’s really funny. So at a minimum, you’ll, you should be entertained. He talks about full self driving, this is something he jumps into pretty heavy. And I think he’s right and wrong about this. You know, Elon Musk has been saying full self driving cars coming in a year since 2014. True, he did finally deliver on it. Air quotes, I have it in my car, I shot a separate video on it, as well. So you can check that out on the channel. But he did kind of deliver on it in 2022. Towards the end of the year, it whether or not it’s full self driving, and I would say no, I do know some people, I have a model three, and someone has a Model S who says it’s way, way better than what I’m experiencing. So maybe the Model S is better. It’s also a newer car. So maybe there’s slightly better hardware or something in it that makes his better. But I want to point out something here, which is that just because it’s can’t be solved now, doesn’t mean it can’t be solved. And this is really important to understand, because it seems to be an assumption that I hear over and over again, not just for self driving, but for all sorts of things. And there’s a little bit of a theme and a few other places like this was envisioned like the Wright brothers. Where we started off at was so far from you had these old timey pictures of these guys like flapping their wings, and thinking that that’s gonna help them fly and

Artificial Intelligence development is moving FAST… …It got me thinking about what we can expect in just 1 year from now. The thing about technology development is that a technology advancement in one area often speeds up the advancements in other areas — which is why tech growth is exponential. So, we could be seeing crazy stuff in just 12 months… Watch the video for more details: Approximate Transcript: In this video is about AI over the next 12 months, what do I expect to see what seems likely, and I’m shooting this in April of 2023. So this would be April 2020. For that I would be making these by this time i, this is what I expect to see. So first of all, expect to see an explosion of narrow AI models. Why is this because there you can have faster development time, it’s less, less expensive to develop more data is not necessarily better, you reaching that threshold of data, when you’re when the narrow model is much more narrow is much, much, much easier. Also, in some cases, there’s like low error tolerance. So in the example I’ve given this in a lot of videos, like an AI surgeon, you definitely, that’s almost certainly going to be a specific model, maybe even at first AI models for a specific type of surgery. Or, and then it goes from there. Like for example, like gallbladder surgery, or just for gall bladders, right, and then just for stomach surgeries, or whatever. And then maybe like they they kind of generalize to different types, different areas. So maybe the chest area, the stomach area, the ankle or whatever. Again, these are, these are things that you do not want a little slip up, you don’t want to be calling the GPT four API and have it get a little bit creative with how it does this, at least with regards to some parts of it. And maybe what you do is you there’s certain parts of it that are you for your for your the narrow model. And then if GPT four is like the best general reasoning, if it runs into something that it doesn’t understand it calls to GP for for reasoning. And then the actions it takes are, are done with the different models. So a kind of pointing out another thing here, which is that just because it’s a narrow model, doesn’t mean it works by itself. Sometimes I think you need multiple models that and I think Tesla does this, where they have two different models. And if they don’t agree, then it doesn’t take the action. So they like they have to agree. And so this, this kind of points to several different neuro models that approach things from a different angle. I think, again, I’ve mentioned medical, a lot of times I think this is the primary area, the first area, we will see the most AI development because it’s just the most potential here, there’s just so many things, AI is really, really good with medical with testing out different, suggesting different drugs, because there’s just literally unlimited practical purposes, there’s unlimited amount of like combinations, two ways to put the molecules and form them and, and shape them and do their structure, that it’s not really possible for humans to take to take that job on themselves. And again, this is not an exhaustive list. Like I, I think that if I were to spend another five minutes, I could probably add another five, there’s just a lot. And then legal logistics, data analysis, math and physics, software development, all of these things as the price of an ease of developing a model, and setting it up on Nvidia has their new AI cloud where you can basically get the same CPU GPU type stuff that that open AI uses in terms of the processors, and start small, just like other cloud computing, that’s gonna really make it a lot easier to do some of this stuff. But there’s just, this is a huge predictor, I think that there’ll be just way, way more and some of them extremely, extremely useful, and actually pretty well formed to where they’re, they’re adding a ton of value to society. I think it’s pretty likely it’s if it’s not out by in a year by April 2024. Then, you know, it’ll be out soon. That’s what I would expect, you know, that the time it took from GPT, three to GPT. Four, wow, I just looked it up. I thought it was faster than that. It’s actually it was actually almost almost three years. So more like two years and nine months. So that’s quite a bit of time. Some people have heard, say, GPT. Five, they do seem to be speeding this up open AI. Maybe it’s more like late 2024, maybe even all the way into 2025. It’s hard to say. But I do I do expect that with their success, especially with chat GPT that, that they’re going to be able to put more resources in it. They have more funding that you know, they’re going to get more customers, which should speed everything up and just put things on people’s radar. So maybe maybe if we’re lucky a year from now, we’ll have GPT five it’s I think it’s maybe a coin flip. Maybe it’s even less likely that a year from now, but it’s still is not our Mo possibility. And if it’s out, you know, it’s it scores better than 99% plus people on like all testing, there’s a large context window. We calling this mega modal model, not multi modal model, just because maybe it takes on everything. It’s hard to it’s hard to kind of fathom how good its logic and reasoning would be. Just because it’s really, really good, right, right now, I think we’re gonna run into, we’re gonna run into a