The Idiots Guide
Sometimes it's about "ADULTING" enough for the day, and other times it's about Keeping a job, Feeding the family, Educating the kids, and Buying the stuff.
Most of us were taught how to read, write, and math good.
But never taught how to file taxes, change a tire, or cook a meal.
How in the world have we survived?
Well, have no fear, the Idiots are here to guide you.
We don't know much more about all the stuff but we might be just a little further down the road than you.
Make no mistake, most of our advice is more like don't try this at home.
Hope it helps!
The Idiots Guide
What If The Computer Didn't Exist Ep76TIG
Travel through time with us on The Idiot's Guide as we uncover the incredible journey of computer technology from its ancient roots to today's cutting-edge advancements. Imagine a world where calculators were mechanical marvels and computers the size of rooms—until innovations like ENIAC began to shrink technology into more manageable forms. Join us and our guest, Joe Haslam, as we reminisce about the pivotal moments that took us from the abacus to personal computers, and how military innovations laid the groundwork for the networked systems and cloud storage we rely on today. Our conversation is filled with personal anecdotes and historical insights, painting a vibrant picture of how these developments have seamlessly woven computers into our daily lives.
Venture into the realm of high-performance gaming and artificial intelligence as we contrast the simpler consoles of the past with today's powerful gaming PCs. Experience the nostalgia of floppy disks while marveling at the compact data storage solutions of today. And as we discuss AI, we shed light on the misconceptions that surround it, focusing on its current capabilities and the potential it holds. Our dialogue raises caution and optimism, emphasizing the importance of responsible innovation without impeding progress. With thought-provoking insights and engaging stories, this episode is not just about understanding technology—it's about appreciating the strides we've made and envisioning the path ahead.
Today on the Idiot's Guide, we're talking about the invention that completely transformed human progress, from ENIAC to AI. The evolution of the computer puts the future at our fingertips. It started from room-sized machines crunching numbers, and now we have pocket-sized supercomputers and rising artificial intelligence. Computers have reshaped how we work, how we think, how we live, but where did it all begin and how did we get from mechanical calculators to AI systems making decisions in real time? Oh, and here's something fun to think about what if computers were never invented at all? In this episode we'll explore the history of computers, their massive leaps in technology and how they changed the world forever.
Speaker 1:Let's boot this up. I'm your host, adam Richardson, aka the Profit Hacker, and I'm joined by the man in charge, mr Joe Haslam. Welcome to the Idiot's guide. So before we had computers, we had a really archaic device that sits on the shelf up here behind you, the Abacus, and I still. It looks like the same thing that kids have. That's like you turn the little beads and you know eventually they were. Like you can make that so that it actually does like little twists and turns around each other. So you're like a little car moving the bead around the track and through this the little toy in every dentist's office, everywhere yes, yeah, that's really why they invented that is for dentist offices.
Speaker 1:That's, yeah, it's actually because I don't know about them in someone's home. If they did, I'd be worried. They're a dentist. But you know, like, you have this element of like, even mechanical. What is it mechanical? I don't even know what a mechanical calculator is. Is that like?
Speaker 2:I should have brought mine in today, but you actually. So it's a little device. You clear it by lifting the thing and then you take a little stylus and you push the numbers and you add it by oh, really, yeah, and so you, it'll change the color and then you go up and that moves the tens place of the hundreds place. Yeah, I have one. I have everything that comes to computers, accounting, anything see.
Speaker 1:The most I think about is like the 10 key, whatever it is where you're like. My mom used to do that in her bookkeeping and so watching her sit there and like work on this ledger that's like 800 pages thick and like going through and like her hand is just doing this, and then she goes up and she was like and then tapes it to the ledger and then like ghost carries on even more, it's it's crazy, but I'm like okay you know a real accountant when they don't call that a calculator, that is called an adding machine, an adding that's right, you're right, yep yeah so I don't know well, bulky ones.
Speaker 1:I'm not adding machine, I'm definitely not an accountant. I'm like that thing that has, like it has a reel of tape and all that stuff.
Speaker 2:Yeah that's an adding machine, you know, because it's backwards from a calculator.
Speaker 1:You know, and then you think like the punch card system, and I think that, like the mechanical calculator like you speak of, with like this little stylus and things like that, is very similar. The punch card system I think about, like old computers that you know you'd hear them make that noise as they produce this little like card that comes out and that card is actually like a piece of information. I'm like. You know it's.
Speaker 1:It's not even, not even a kilobyte of information yeah, no, not even close you know, it's not even a byte but you've got ones and zeros, and that's all you need yeah, and and so you have this, like the invention of the what ENIAC, which is basically just a giant, you know, mathematical equation calculator in the 40s and 50s, and then you know, like, ultimately it was a tool used in the military or other, I guess, scientific advancements, I don't know, you know, to me, I think that you know they would use this kind of stuff in a, in an element of decoding certain certain things in the military world. Um, and a lot of, I'm like, even to this day, a lot of our you know advancements that society experiences, um, the military is usually kind of the test dummy for that, you know, or they're usually the experiment field where they're going to get the prototypes that they're working with before this is now a general public thing, you know, and that's for safety reasons. Obviously you don't want you want a paid government employee to explode, not an average citizen.
Speaker 2:The first intranets, so the first connected computers like we understand them today. So back in the day we had the land connections, local area networks. Those were actually developed by the military as well in order to have communications across divisions, across groups and everything so that there was clear-cut communication. So how we understand computers today, the whole internet system where everything's stored in the cloud, which is the cloud, isn't somewhere in the sky. It's sitting in an office in a refrigerated space that just has a bunch of little computers in it. That's the cloud cloud, that's the real cloud. It's not sitting somewhere in space. Man, all of those connections that are feeding into this that's the internet is based on original military necessity.
Speaker 1:Yeah, you know. So you have this, then moves to your personal computer. Um, you know, and that my family, like you said, yours and in previous episodes was, you know, computers were a normal thing. I had, uh, I the. The oldest computer I remember our household having was an atari computer, and it was. It didn't have oregon trail on it. That was kind of one of those nostalgic games. Ours was a Winnie the Pooh one and you would have like it would make the wind of the you know the 1,800-acre woods or whatever acre woods it is, and you'd hear the, and then the story would shift you to something else and then everyone would die of dysentery, even in the movie okay, they just didn't have an original plot.
Speaker 1:So you're like we'll just go with, just kidding, no, but you know, like something would go awry and you'd be like, oh man, I'm not, you'd lose in this situation. So very similar to Oregon Trail. But you have the original founding elements of personal computers IBM, apple, what was it Back then? It was like Macintosh and I think we had a Toshiba computer which is actually originally part of Macintosh. It was Mac, toshiba.
Speaker 1:And then Microsoft coming to the fold, to the fold, what early nineties, um, you know, I mean, like obviously it's, it's generation was the eighties, but, uh, but you're talking about its actual like existence in a lot of operating systems. You know, starting from probably late eighties, um, and now to this day, that microsoft is like a standard, you know. But you see that, like the, this evolution quickly has you like. Our last episode, we talked about television and how its birth was. You know, back in the late 20s, uh, 1920s, that is, we are in the late 20s, early 20s of, uh, the, the next, we just hit the mid-20s okay, so, uh, you know so, but you said nearly 100 years ago you're talking the tv was created.
Speaker 1:This one wasn't even that like you're talking. You know forties and fifties. You're playing with really basic. You know calculating models of this, actual computers, where you're talking about DOS, menu item integration and going into the computer programming, the ones and zeros of computers. Computer programming, the ones and zeros of computers. That's probably more seventies.
Speaker 2:You know seventies and eighties before it actually has any level of worthy traction outside of military, maybe late sixties.
Speaker 1:Yeah, so in that environment you're, you're looking at this going, man, I like like that's not a long time. That's 50 years of of computer development, where the other one's almost 100 years. So in half the time computers have advanced exponentially faster in what they're doing to today's society. So, and to now, like you talk about, even even way back in the day, you talk about Apollo moon landing on Mars. You know well, not moon landing, but not Mars, but Mars rover. Okay, mars rovers are. You know you're sending imagery all the way across the universe. You know, look, stop looking at me like I'm speaking languages that you don't understand.
Speaker 2:All the way across our solar system. No, it's the next planet over. It's essentially a tin can with a rope talking to your neighbor. In comparison, why you have to minimize this fleet of mankind In comparison, why you have to minimize this feat of mankind Compared to the JWST, that is reshaping physics as we know it, the foundations of the universe, all the components that go into everything.
Speaker 2:That's the JWST. That's the messages that are coming across our universe. Not tin can with a rope from the next planet over. I took a picture of a rock today. Look at this rock. Not tin can with a rope from the next planet over. I took a picture of a rock today. Look at this rock. I found tire tracks.
Speaker 1:No, they're mine Sorry they're mine In comparison.
Speaker 1:I mean it's not across the universe's, it's not across the universe, it's not across the solar system, okay, it's the next door, whatever, whatever. Okay, I'm giving computer technology too much credit, apparently. So the fact that you know, okay, like, let's zero in on something besides mars, let's talk about what you were just talking about, where, where they're discovering black hole and and elements of of the universe, that that is just mind boggling, defies physics as we know it. And so it's. It's, it's one of those things that's like for us to be able to produce something that will reach out and view those things, and it's because of computer technology that we can produce that stuff. You know that will reach out and view those things and it's because of computer technology that we can produce that stuff. You know, that's what I think is the most impressive part of that. It's like we go from mathematical equations and like that's where it started, like can we get this to say two plus two is four? And how many ways can we explain that into into a computer so that it can do that still, two plus two is four, but still always do that equation correctly? And then you know it's, it's one of those I don't know like, to me that's, that's really a basic idea. But then you're going.
Speaker 1:Now we're seeing on the edge of universe that we know, exploring things that boggle our mind, and that's because of you know, this same thinking about how do we get this to do, a math equation that's so simple for us to now, how do we understand what in this, what in the world we just saw? You know so that this, this idea that now our world is kind of a new economy of digital, you know, digital operations, business operations, everything that we do has catapulted into a digital sphere. That is, you know, a lot of times even the conversation about the need for brick and mortar isn't even there, because you can exist entirely online, other than your actual physical being. You know, and then you go to matrix and your world is blown. You know, yeah, we're not going there, you're just a battery for a machine that's it.
Speaker 2:So that would be the most inefficient battery that has ever existed. We've talked about some pretty inefficient batteries on this channel before.
Speaker 1:Yes, that's true, frogs' legs are more efficient than humans. Okay, anyway, before we process the next point, take a second to hit that like button and subscribe. It's a simple click for you and a giant leap for keeping the podcast growing. Drop a comment if you want. That's you. You can do that too. What's your earliest memory of using a computer? What kind of things did you? What kind of things? Like I said, I played on an Atari game where, you know, winnie the Pooh died of dysentery.
Speaker 2:So you know A few mixed memories there.
Speaker 1:Anyway, hit that like button, subscribe, and we'd love to hear from you. So, okay, now we move into an era where you know, you see this continual progression and it's almost aggressive, you hit about 2,000, and you have two real powerhouses that have really dominated. I want to say this the home personal computer experience is dominated by two powerhouses mainly. Now there's lots of other options out there that you could explore and custom systems, but most operating systems there's about three options, okay, one is uh, one is Microsoft, one is Apple and the other is Linux, and Linux is like I don't know.
Speaker 2:It's the open source option.
Speaker 1:It's an option if you don't want to pay for anything Like. It's great, it does its job. But it's one of those things where you're like you know, you see this now it's almost like a monopoly in the development of this, where you have this tug of war between who's going to be the greatest, instead of where it came from with this ability to do great things in the sphere. It's now just going like my computer's better than your computer. You're flexing on each other. But it also, I think, has created a competitive market to continue to be competitive, which has resulted in really, really high performance tech You're talking about. You know, my son plays video games and he's looking at consoles. That I mean.
Speaker 1:The video game world for computers is insane and the cost for those computers is nuts, you know, and I'm like, oh my gosh. You're like, oh, it's just this little amount. It's only like $4,500 for this computer console that you know. Basically, the characters will jump out on your lap and have a battle in front of you. You know, you're like I don't know why I have to do that, but why is it so much?
Speaker 1:So much so that the graphics on a computer have exceeded that of anything on television. They've gotten to the point now where they make the monitors for computers stronger than, and the video graphics that are coming out of the computers stronger than, what you would see on an average television. So you know, if you plug it into a television you're not gonna get the same graphics that you would get on your monitor. That's how crazy it is like and that's just the image. When you're talking about processing speed, when you're looking at major, you know you talk about crunching numbers. Okay, you're an accountant and you think that, look, I'm gonna throw all of this information at you like this it's pages upon pages and upon pages and within about 30 seconds it's going to spit something back out of a collected summary of what you just did that's really impressive.
Speaker 2:Yeah, it processes. Now, I mean the processing that I do. I have to do use a gaming laptop in order to get it to process the information that I have and it's still really slow. Yeah, that's how much data that I'm processing. I mean the level of processing that I do is something that no human can do in the same amount of time. And it's all reading that data. And it's all reading that data. It's just going back and forth and being able to process that amount of information. The they're usually in super-cooled rooms because of all the heat from all the information data that's going on with heat loss and just massive cool stuff that these supercomputers are able to do.
Speaker 1:Well, and then you think about the idea of a microchip and the development from there, that those are the elements that really run computers, they're the brains of computers and those microchips are really well sought after. Well, you think that microchips in computers also. Now cars are coming with that level of computing. Phones, smartphones have the same technology in them. So the development like what's early or late 50s, early 60s, you have the initial kind of, you know, like creation of a microchip and it's just gotten to the point where they're literally microscopic chip. It's so small that you're talking, you know, like originally they're the size of your hand, that's a microchip. You're like well, that's okay, that's good. You know, when the machine that you know is doing math equations takes up a trailer park, you know. And then now you're like but this can do it. Now that's pretty, that's a pretty good downsize, you know. And now you're going. Well, now I can have almost the same level of entertainment value. Micro computing, access, communication, all that stuff, and the whole thing fits in the palm of my hand.
Speaker 2:I remember a time a video game that I played called Castles 2. It was not a complex game by standards of today. It is as simple as it comes. Castles, okay. In order to install it on my computer, it came on five, three and a quarter floppy disks, oh man. So you had to put in one, let it install and then it would pop a message on the screen put in the next disc.
Speaker 1:So you'd pop that one out, pop the next one in and then take that one out, pop the next one in I may have to actually coach my editor on providing a picture of a floppy disk, because my editor isn't old enough to even know what that is.
Speaker 2:So he's actually, but I mean, those were the small disks that were actually not floppy. We still call them floppy because we were used to the five and an eighth which which was floppy, which was floppy.
Speaker 1:And now it's these little hard like disc cassettes.
Speaker 2:So we used to call them you know what generation you grew up in because we didn't call them 5 1⁄4 or 5 1⁄8 or 3 1⁄4. We called them A discs or B discs yeah, because on your computer you would have drives, you had an A drive. And or B discs yeah, because on your computer you would have drives, you had an A drive.
Speaker 1:So your.
Speaker 2:C drive was your computer drive. Yeah, because the a drive was for the uh five and or for the three and a quarter, and the B drive was for the five and an eighth, and so they were B's and A's.
Speaker 1:Well, and even like moving into discs, when you start doing not just floppies, but now you have CD discs, when you have the data on CDs and then ultimately, that was kind of why nowadays you have things like MP4 or MP3. That is a digital signature of a song that used to be on a recording track. Signature of a song that used to be on a recording track. I have lots of those where they're recordings of me that are on tapes like cassette reels, and it's now digitally transferred over to a library online and it's this, it's it's. It's such a small amount of data that it takes just for one little song. It's insane to me that you know, know, like we had such huge items and that everything that we do in data and information can be brought down to the just the tiniest little bite of information and that same game, that castles 2 game, that took up five of these discs.
Speaker 2:We now have those little flash drives, you know that can be incorporated into little sticks or whatever. Or you've got the little uh sd cards that that game wouldn't even take up one percent of the data capacity on one of these little sd cards I have a.
Speaker 1:I have a jump drive in my office that's a terabyte and it is literally smaller than my pinky.
Speaker 1:But I don't trust it because I've had it fail on me. But you know, if I need to keep a paper document and move it from here to there, absolutely I'm not going to trust a terabyte worth of data on that thing at this point because it has failed me. But just the fact that I have that at my disposal, like I have my computer, that I'm worried about the space because I downgraded the size storage to you know, like it has 250 gigs or something like that. So it's not very big and it's it's it's. You know, it's this idea that we have this astronomical amount of information now that can just be stored in tiny little components. But it's so much storage that it can hold and that's because of computing power that we can do, that we can minimize a phone book worth of stuff, a library of everything. That's why even Google tech is what it is, because it has such a resource of information that we've stored all available to itself. At this point. It's disgusting.
Speaker 2:There's a great scene in Futurama where they show the I think they call it the library that holds the library. I think that's what it is. It holds all of the universe's knowledge, and so they show a shot of it. It's just two discs in the uh library, just just cds sitting on little stands, because all that data is just so compressible to be able to be accessed and just the ability to share that information, to get that information. That's how we can have the cloud, because we're compressing that data so much that it can sit in an environmentally controlled room to be able to access that information from anywhere.
Speaker 1:It's just amazing what that has allowed us to do, I think what's cool about this is the fact that now, with all of this information being added to constantly, we have different resource libraries that everybody commonly goes to. This has now birthed something in our society. We have an episode that we do talk about this in general, about the truth about what AI is.
Speaker 1:And what we have right now is not AI, but in it in the sense of a language model and what they you know, they, they have coined it, ai, um, but it's a language model is really in depth. It's doing a tremendous job of you know, in my opinion. It's never it's like you taught, it's mixed. Everybody has kind of a different perspective about this. You can have something that compliments your skillset. You can have something that you rely entirely on and it replaces your skillset, which is very dangerous.
Speaker 2:Does it replace your skillset? Because the person that's receiving that information is no, I'm not.
Speaker 1:Let me finish what I'm saying. I'm going to speak against that, joe. I'm just saying that there are people who are like I'm sold on just this, I'm going to lean heavily on this which basically makes you perpetuate an error in the language model because it's regurgitating information at that point. So you're just chewing the same food someone else ate.
Speaker 1:Hey, chew this sandwich for me that's a really gross descriptive on how it is, but that's the truth, that is what it is. But now you have, honestly, things that are AI-powered in essence, like things that are AI powered in essence, even in the sense of saying my home, I can have a communication with my, with my device, uh, in my home I can ask it to turn lights on and it turns lights on. Now I I have to kind of coach it through certain things, but if I want it to play a song on my player that I subscribe to, I can ask it to do that and it will find the song. It will play that artist exactly what I'm looking for.
Speaker 2:So it's a voice controlled search engine.
Speaker 1:The idea, though, is that there there is a you know, there is a, a core group of Luddites that are against this situation I am very much. This is vindicating for me, because the first couple episodes I I am not a lot of you were like look at this guy, you look like a lot I I very much am in favor of true artificial intelligence.
Speaker 2:I have had to rename my definition of this type of intelligence to computer or robotic intelligence because of how much the marketing of these AI companies has demeaned the meaning of artificial intelligence, because it's not artificial intelligence at all. It is not real robotic intelligence. Real computer intelligence is an ability to learn and grow, to develop, to change, to overcome its base programming, to be something else, to take in information from multiple sources and be able to put it together, not simply regurgitate something that's already there. These large language models are not AI. For the sake of it, go back 20 years to see what people defined artificial intelligence as we have three minutes left in our episode and it is not this.
Speaker 2:They have changed the definition of ai in order to market a product that is a glorified search engine. Okay, this is not technological advancement. This is for for the sake of uh blood pressure.
Speaker 1:Let's, let's, let's, let's use a different word going forward. I know that you're staring at the notes and the notes. It's AI everywhere, and I understand it is an unfortunate, frustrating descriptive for something that isn't accurate. It's utilized and marketed like that, and so it's like saying, instead of getting me a facial tissue, you get me a Kleenex. You know what I mean. It doesn't mean that.
Speaker 2:No, it's like going to a fancy restaurant and ordering a steak and they bring you a piece of dog meat. That is what calling this stuff AI is like.
Speaker 1:Now I would say that the level of language model they're operating in at this point is impressive For what it is doing and what it assists in doing. It is helpful in a lot of different ways. I think it also comes with concern and caution that a lot of people are trying to do. But because the market is now becoming more competitive, there's been some new people in the race that just recently released some newer language models that are ruffling feathers. You you have a little bit more of a competitive nature, much like apple and microsoft had to. You know they're, they're trying to climb the ladder of creation.
Speaker 2:These were real computers. This is not real AI. All I'm talking about is, if you talk about software development.
Speaker 1:Software development, generally speaking, okay, regardless of whether it's AI or anything else. If you're talking about the development of better editing software or better audio software or better accounting software, the level of competition always thrives innovation. And so, in this sense, even in that, if you don't want it to stay where it is and just be a stagnant pool of regurgitated information, this is how it works, is this is the, the, the origin aspect of where it can actually become robotic intelligence. But right, and calling it AI, we are misleading the entire research.
Speaker 2:And this is coming from someone who researches artificial intelligence.
Speaker 2:Okay, but we're talking From a perspective of human neurological processes, neurocognitive development, as well as from a mathematical standpoint, a computational, mathematical algorithmic process to mimic human neurocognitive development and processing. This is in no way taking us down that path. This is technology that we've had for over 20 years. It's called a search engine. All they're doing is they are putting a bunch of cheap, cheaply paid individuals to filter information into this so that there is more data for the search engine to spit out. That's all this is. All we're doing is dumbing down the system and taking advantage of people who need money to be able to put this data in for super cheap, and calling it.
Speaker 1:AI. If you want to know a little bit more about this passionate description that we're talking about. We do actually have an episode. I will link it at the top of this, but for the sake of this episode and the development and evolution of supercomputer capacity, the industry has leaned in this direction to utilize it as whatever resource it's using it for, and in that sense it has brought to the table a new discussion, and in that discussion is how do we move forward with this and let it be something that doesn't, you know, cripple what we're doing as our innovation or anything like that? It's not necessarily to the point where we go. Are we divided?
Speaker 1:Let me say this the episode is about computers.
Speaker 1:Let's stay in that lane.
Speaker 1:But what, joe, is a big part about that is there is some big questionable elements in the tech that they're talking about, the language models that they're using, and they're giving far too much credit to the model itself for what innovation can be done with our computers that we've seen over our entire lifetime, at least to see how it's evolved to be some really really powerful elements to this stuff and working at lightning speeds. Where you know, even when you think about uploading a game off five disks and when you're trying to build this thing, how long I remember just the actual CDs and how long it would take to do an install of a program that was probably 90 megabytes. You know and you're like, okay, there's eight CDs and 90 megabytes of information and all this is is word processing. You know, like a word Perfect, remember word Perfect Like before there was Microsoft Word. You know it creates an issue where you kind of go what crosses the line? What is an ethical line that we may be struggling with in these innovations going forward? Is that fair enough to say?
Speaker 1:I'm just going to keep quiet.
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Speaker 2:The world would definitely be a lot slower, a lot smaller and definitely a lot less stuff being done.
Speaker 1:I mean I think there's a consensus here on a lot of these episodes where these are elements of communication. You know, I get my news via email by different threads that I follow, from different email or like news story sources, like just like a newspaper. Now it comes in my email and I enjoy that. But if I didn't have that, you know, I wouldn't know what's going on, I'd be uninformed, you know, and sometimes that can have really catastrophic results, because if I'm trying to make you know, make something of my life, I rely on key information in our society in order to continue to progress and be relevant in society. And you know, without that I don't, I don't get that information. But then also, you know, maybe there I don't get that information. But then also, you know, maybe there's video games. My son likes to play video games on there. So how does that work? And then how does you know, like what evolves if it's not computers?
Speaker 1:You know there's computer. I mean video game consoles are little computers. So you have a lot of different things that the way that they behave, the way that we function, cars have computers. There's a lot of things that have computers in them. And if we didn't have that computing power in our society, I feel like we would have significantly less progress in a lot of things. Oh, yeah, you know. So it's safe to say. I believe that computers really kind of make life easier and if we didn't have them we'd be screwed. Yeah, you know, granted like in the era that they didn't have computers. It was just a different time. Now I can't even fathom not having a computer.
Speaker 2:And because I carry it like I can't go.
Speaker 1:I have a computer in my pocket. I can't leave my house without that. I would choose no pants over not having my little phone. Okay, you give me a choice. Everyone else would be like, please, pants. But you know, whatever you get the point, joe, the point. So let's do a quick system check, a quick defrag. I don't think we even do that anymore.
Speaker 1:But of today's discussion we covered how computers went from massive, room-sized machines to the supercomputers and microchips powering our world today. Then we explore this language model race and how it's pushing the boundaries of what computers can do, and finally we imagined a world without computers Definitely not a reality most of us would want to live in at all. Honestly, you think about, you know how much we take for granted because of the fact of how much computer we use all the time. So here's a question when do you think computers will take us next? What's the next thing? Where do you think language models or AI or anything else that you want to call it, or you know, or robotic technology, where is that taking us next? And you know what's the greatest tool, what's the greatest challenge we're going to face in that? Drop your thoughts in the comments. It's time. I'm messing it up. Today, time for jokes with Joe. I'm messing it up. Today, time for Jokes with Joe. All right, here we go.
Speaker 2:Okay, what do you call a cow with no legs?
Speaker 1:Oh, I know this one.
Speaker 2:Oh, you do, I'm a dad. Okay, all right, for those of you that don't know, it's beef.
Speaker 1:Didn't stump him on that one all right, we have reached the end of our show for today. Thank you for listening. Thank you for watching. Don't forget to like and subscribe. Life's too short, so keep laughing and learning, and remember idiots have way more fun. Check your shoes.