The Catchup
Dive into the world of trending topics every Monday morning with us on The CatchUp! Our podcast unravels the complexities of today’s biggest stories, from the rapid advancements in Artificial Intelligence to the latest global news. Engage with our unfiltered opinions and spontaneous, in-depth discussions that dive into AI's impact on society and beyond. Our unscripted conversations offer fresh perspectives and insights, making “catching up” the perfect blend of real talk and real topics. Tune in for thought-provoking analysis and lively debate that will redefine your Monday mornings.
The Catchup
Exploring Artificial Intelligence: Energy Requirements, Potential Lawsuits, and Impact on Journalism
Are you ready to dive deep into the complex world of artificial intelligence? As we all know, AI is a double-edged sword, bringing both innovation and challenges. Today, we're going to unravel the power requirements of AI technologies and how they're pushing for cleaner energy sources. We're also going to chat about the New York Times' potential lawsuit against OpenAI and Chat GPT, which is stirring up legal implications worldwide. If that wasn't enough, we'll also cover the recent changes in the New York Times' terms of service that could disrupt Chat GPT's knowledge base. Stick around, because you won't want to miss this!
Transitioning to a heavier topic, we'll address the elephant in the room: AI's environmental footprint. With climate change making headlines daily, we're going to discuss the role AI technologies, server farms, and Bitcoin mining play in this global crisis. As we pivot to our final discussion point, we'll contemplate the implications of AI becoming a primary source of information and the potential consequences of relying less on traditional search engines. This episode is going to open your eyes to AI's undeniable influence on our lives and the future of our world. So, buckle up for a thrilling ride through the realm of AI!
Let's get into it!
Follow us!
Email us: TheCatchupCast@Gmail.com
So we're talking this week about the struggles of AI. Right, we're back on AI train, a thing that has to find the season of catch up podcasts, right, mm? Hmm, so we're talking about the old AI issues really because one of them they're both big issues One of them seems to be more immediate than the other. First of all, chat, gpt and other big AI like it. Right, they draw a lot of power because they have multiple, multiple computers for processing that provide processing horsepower for this AI, right, mm?
Speaker 1:hmm, and that's a big dream on power, big dream of resources. So we're going to talk about that. We're also going to talk about the New York Times possibly I want to report accurate releases for target matter journalistic media possibly is gearing up to sue AI, specifically open AI, sorry, and chat GPT at that would be. You know, potentially what they're saying is we'll come back to this further. I'm not explaining this well all right now, but we'll come back to this further. What potentially could happen is this lawsuit, if it happens, could go to a federal judge that apparently, if it favors the New York Times, chat GPT would have to scrub all of its knowledge and start over, which is crazy it is, and so it's definitely a good talking point. We want to discuss that also.
Speaker 1:A side note the New York Times actually changed its terms of service. That prevents any AI from, you know, scrubbing or not scrubbing, but you know, gathering information from that site. You know, I don't really know quite how you prevent that. I guess you have to be in the API, right, because it would be.
Speaker 2:It wouldn't be in the APIs. It would be similar to, kind of like, what has happened with the social media platform formerly known as Twitter.
Speaker 1:I know as X.
Speaker 2:Exactly when they. They changed the API ruling. I think Reddit also did something similar, where they changed how their API is used. So, yeah, I believe you can do it in the API and so that way the AI is not able to easily go in there and grab specific data points and stuff.
Speaker 1:Right, and what is API stand for?
Speaker 2:You know, I don't know, we're going to have to Google that one. I actually don't know that one. Let's find out, let's let's pull it up I see it all the time.
Speaker 1:I see it all the time because I work with these social media platforms a lot. I've always wanted you know you want you see it all the time because, oh yeah, I do. Multiple reasons, yeah, application program interface.
Speaker 2:Programming.
Speaker 1:Programming interface. You're right, seems a little redundant. Not really it's good. So yeah, that is going to be interesting, because I do know. So chat GPT has been without Internet surfing abilities for over a month now. They seemingly have not been able to get the issue that they've had fixed, and so they've been without Internet abilities for, like I said, over a month.
Speaker 2:Or at least that plug in. You know, is that right Plug in?
Speaker 1:Yeah, exactly, but you know I can't search anything that's current on chat GPT right now. But, yeah, I totally understand what you're saying. Yes, but one thing I asked, I think I wanted to look at Something I'd posted before, right, because it was posted something for my music. And so I wanted to look at something I posted before and it said sorry, but you know, facebook's API, which is also the same as Instagram's, prevents me from searching for this stuff. And I was like, hey, yeah, mm, hmm, so that's kind of the reason for that.
Speaker 1:So yeah, that's interesting, man. We got a lot to talk about. We sure do, man.
Speaker 1:So I just say we go ahead and get into it. What's going on? Everybody, I'm John and I'm Denison, and this is the catch up. All right, before we get back into our main topic. I just wanted to discuss the three best ways. Let me say, when I say discussed, right, I just want you to sit down on the couch, talk with me for a second. I'm just trying to connect with you, man, exactly, you and I have been going our separate ways for so long. You know I try to sit down with conversation. You want to go play video games? So, listener, whoever you are.
Speaker 1:This was not directed at Denison, in case you were confused. The listener, I just want to have a conversation with you, man. I want to let you know the three best ways to support this show. You know, there they are flying across your screen. Number one oh man, it's always the build up and in case RSX type are nice dude, pretty slick. They were like really cool if it was red. You know, for historical reasons, number one is Please leave us rain in review.
Speaker 1:Wherever you're listening, wherever you're watching. It really helps us to grow, helps us to know what we can do to do better or what we're already doing well, but it also gets us down from more people too.
Speaker 2:So it's a big help.
Speaker 1:Please just take a few seconds to leave five stars or whatever you're feeling, right? I feel like I preach this week after week.
Speaker 1:I'm really serious. It would help us a lot. You know I'm not going to be a fan of it. It would help us a lot, you know. So please just take a few seconds to help us out. Number two is give us a follow. Oh my gosh, oh, I spoke too soon. There's a red model right there. Dang, that was crazy. I shouldn't have. Should have held my, held my tongue. Number two is follow us on Facebook or on YouTube at our podcast name and we go live every Thursday night talking about our topics in real time. If you don't already watch us this way, it allows you to jump in the discussion with us in real time and leave your comments, and we want to have a discussion with all of you, and you're getting the format, the record version like that in real time. But it's more.
Speaker 1:You know, as cool as that is, we want to be able to have a really great conversation with you and expand this discussion as a whole. And number three oh man, you really pulled that PS5 controller out of the bag. All right, there is your three right there. No way it's an Xbox controller. I was, I was duped, I was bamboozled. All right, we're going to show you a little Something, something you might say.
Speaker 2:This is not on show and tell.
Speaker 1:Yeah, this is not on a shirt, right? Just picture it. Let's go ahead and get into it with a nice big pair of headphones. You know, I'm saying that is something Looks real clean, right? So that's something that you could have wrapped around your body, you know round your noggin man. Not to make it sound weird or anything, but I think actually I can give you all a better example. Give me two, give me two seconds. You store Perfect.
Speaker 2:One, two.
Speaker 1:Hey, I wasn't ready. I thought I was.
Speaker 2:Time out man.
Speaker 1:Yeah, I know time flies when you're trying to show off your merch.
Speaker 2:You are man. I mean, you're right, you're right, time does fly, but it is what it is.
Speaker 2:Yeah, yeah, we're out here trying to show the people you know show and tell, just like you know when you were, when you were younger, you know, and you went to class and you always brought your favorite toy right and you got to bring it up to the front of the class and show them your favorite toy right. We were just trying to show our favorite clothing that we have, you know, our favorite merch To our audience, you know, so you guys can check it out and, you know, if you feel so inclined, go ahead and snack. You know a couple of things.
Speaker 1:And I just want to say too I feel so disappointed in myself because this is not on our shop page and it needs to be, you know, Mm. Hmm, so let's see no, we don't want black. You can't see the design.
Speaker 2:No, you can't, no, you can't. So, it does look good, no it does.
Speaker 1:We'll just, we'll leave it at that. It looks clean, because I for some reason can't. Oh, there we go, let's show it to the people.
Speaker 2:Show it to the people.
Speaker 1:All right guys. Sorry for the long wait on this. I forgot how to use the website that we do this on Little little gray action, right? Just a standard gray. I know a lot of people like gray around here. Good hard work. Look are you sharing.
Speaker 2:There we go, I can see that. That is pretty done clean.
Speaker 1:It's actually me modeling it, you know.
Speaker 2:And you grew out your beard a lot.
Speaker 1:Yeah, yeah me. Me not being able to is just a part of my character. Dude, I actually have a full beard.
Speaker 2:I see I see Full black beard. Yeah, yeah, I tend to, I tend to, you had to dye your hair as well.
Speaker 1:That's. I can't leave it. It's all about the lighting, you know. Ok, ok, that's interesting lighting, hey, but you didn't ask about the gains, though. Let's go. Yeah, so you know, good, clean shirt. I'll get this added to our shop for you. I think you'll like this one. This is the guaranteed Favorite, for sure, without doubt. So please check that out. That's over at our shop. By the time you hear this, you'll be at our shop in the link below. So, yeah, please check that out. I know you'll like it. All right, let's get into this topic here, this here topic. Why don't you start us off, man, talking about the AI and the power that's required for it, right?
Speaker 2:Yeah, of course. So, as you all may know, we have been going through a sweltering, hot summer, you know, and throughout all of that I'm sure everyone's kind of heard of, like you know, this is becoming a more a new normal, as it were, due to climate change, you know, just because of how many or how much CO2 that we're pumping into the atmosphere and all the all the things that come with that.
Speaker 1:Right, which I actually have a question for you, right, mm-hmm, saturday. What's your high?
Speaker 2:Let's see Texas High in Texas. Let's see what we got here.
Speaker 1:Give me a second here, the and surprising me, hours on Saturday is one oh seven.
Speaker 2:Well, that's crazy.
Speaker 1:Sunday it's one oh seven and Monday is really crazy and Monday it's one oh five. Tuesday one oh three. Wednesday one oh one. Thursday one oh one man, it doesn't drop below a hundred till a week from tomorrow that's crazy, it's not, it's right.
Speaker 2:Yeah, I mean, we've been in the hundreds for a while, man, we are expected to get a little bit of a cold front here, though you know good old cold front. It's going to be 97 degrees, man, cold front. Gotta get the jacket out.
Speaker 1:I'm about to say you got that north face ready, man, mm-hmm, yeah. So I just wanted. I was curious and brought that up because I'm feeling it. I'm very much feeling it, man. We've already had a couple of one. Oh, seven days up here we already had 10 days straight of 100 plus degrees. You know I'm saying so mm-hmm. I feel that. So anyway, go ahead, sorry no worries.
Speaker 2:So, yeah, I was really gonna say is you know, since, as everyone said, you know, due to these changes in our the amount of CO2 that we have in our atmosphere, as well as some of the changes that are going on and how that is affecting and heating us up a lot of pressure has been started to grow on finding cleaner energy sources and reducing the energy that we do consume and stuff like that. And all of that being said goes towards what we're, you know, one of the topics that we're going to be talking about, which is chat, gpt or even other. Ai is like chat GPT, using a huge amount of power, because you know, although we love to, you know, use these ai is these these chat bots and use them for you know, a wide variety of tasks and stuff like that. And it feels like magic, right, you know you're, you're typing in there like, hey, what do I do? Blah, blah, blah, and it's just boom, we get you this whole clean answer, really well thought out, and stuff like that. But what we're not really seeing or talking about much behind the scenes is that you know, all these ai models are having to be powered via data centers, right, data centers with big server farms, so it's just tons and tons of very high power computers and GPUs that are crunching this data and then pushing it out to us, the consumers, the users right of these products, to to essentially, you know, get all of our magical experience.
Speaker 2:But in these big, gigantic, massive data farms or server farms, you know, data centers. They consume a lot of power and the more users that you have means that there's their. There are more instances of this ai needing more computing power, which would also mean that it needs more servers, which also means more power. Servers cost power and if, especially if, you're already running them at the, you know, the highest amount that you can, they're consuming a huge more, or a huge amount more power than they were before.
Speaker 2:And, depending on how our movement towards cleaner energy sources, most of the time these data centers, since they're using so much power and it's a 24 seven job they're not getting their energy from a clean, much more sustainable energy source, right. They're going to be most likely getting them from coal plants, right? Or or natural gas, or different types of fossil fuel, different types of fossil fuels, because those currently at least, since we haven't really gone through a, you know, a huge process of trying to overhaul how our energy has been created or is being created. Our electricity most are still in that coal power. Coal powered gas, natural gas powered.
Speaker 1:More pollutant, more fossil fuel intensive power generation right, so it's great more of a climate issue, right correct, correct, yeah it's.
Speaker 2:It's something that actually, when Bitcoin was really high, oh yeah, oh dude, we okay, go ahead.
Speaker 2:I want to cut you off no, no worries, I was just going to say, yeah, like when Bitcoin was really big, bitcoin mining became a really big deal, but it also became kind of a climate thing, because again you're going to be the more people, more consumers right, because that's more people instead of these big server farms. Now you're having, like, individuals consuming more powers to their home, which again can lead to more fossil fuels being burned, which means more CO2 being pumped into our atmosphere, or a greenhouse gases. It doesn't even have to just be CO2, sometimes it can be others and overall, creating a higher environmental impact than it once previously was. And it took a couple of laws and sanctions and stuff like that that happened against different individuals, not just like actual individuals, like consumers, but other different stuff like that that was out there to try to lower the amount of people trying to do that kind of stuff, right, you know yeah, yeah, no, I feel that, um, you know, it's interesting.
Speaker 1:One thing I was thinking about this is kind of like a different direction, I guess. But you know, ai is kind of like a thing that can lead to so many new innovations because it's advanced and it's seen like human thinking, right, like the collaboration you know, and, um, what's interesting about that, right, is one of those things you would think are new sources of energy, right, but instead it's causing such a gigantic problem for that. Yeah, I mean, how do you think this would compare to, say, like Google, right, like Google's facility, like, say, chat GBT, right, mm-hmm, what it takes to power that, how does that compare to? I mean, I don't know if you know this, I'm totally open for peer speculation on this right, but the amount of power in GPUs, cpus, like you said, that takes to power chat GBT, for example, what about like Google's search engine? How would those two compare, right?
Speaker 2:Um, you know that's a great question and I'm going to say that this is, for sure, more speculation on my end, but I would say that it is using a pretty decent amount of energy comparably.
Speaker 2:But I almost feel like chat GBT would end up using more Now. Of course, over time I think it would get a little bit less. But the reason why I'm saying this is that Google has had years and years of time to perfect the algorithm that is used for their Google searches, which has also most likely created a lot of performance gains as well, so that a regular Google search, or most people's Google search, is going to use a fraction of the power that it used to use when they first implemented Google search and all sorts of other stuff like that. Um, because, you know, not only are you getting efficiency gains when it comes to just overall hardware right, as hardware advances, it can do more tasks with uh, with uh using less power, good stuff like that but then you also have the fact, too, of just a much more tighter, better um algorithm better, better and more efficient algorithm to be able to product or conduct to those searches uh without any issues or with far less issues, as well as far less power.
Speaker 1:Yeah.
Speaker 2:I'm sorry, man, that's all good man.
Speaker 1:There's some Daffy duck going there for a second.
Speaker 2:I did, man, I really did, I did.
Speaker 1:I'm sorry, that was just funny. Um, oh man, um, okay, so, uh, well, I guess one of my, one of my thoughts would be um, couldn't it help develop, uh, the hardware that would take less size and energy to power it right, yeah, yeah, I mean like the snake eating its tail, but reversed, you know.
Speaker 2:Yeah, I mean I, I do feel as though eventually we're going to get to that kind of process where it's it's the amount of good that it's actually putting out is far outweighs the amount of energy that it's using. Right, I, I can see it as akin to, um what we're current. You know, scientists are currently trying to continuously replicate with uh fusion power right and fusion where it's currently. We can create a fusion reaction, but the amount of power that it takes for us to continue that reaction not only create it, but continue that reaction um outweighs the amount of energy that we are actually getting out of the equation. Um. Only recently, right, we've had breakthroughs, and this has been decades and decades um of us researching and, and you know, getting closer to making more efficient things Um.
Speaker 2:But have we gotten to a point where, at least um relatively recently, we've been able to create a nuclear reaction, that a nuclear fusion reaction I need to be very specific there um that is able to produce more energy than what it's required to be put into it? Um, and so I think AI for sure is going to get to that point, right. But I think it's that it's that tipping glass right. It's figuring out what is the right? How long will it take? The cool part about it is AI is very quick and especially generative AI that we have, where it's learning consistently and growing, and the amount of data that we can continue to feed into it, the faster that it'll learn and faster that it'll grow, and so it's only a matter of time of being able to figure out ways to make it far more efficient and how it does its processes, as well as far more efficient in, like other alternatives, to make sure that it can produce, right in some ways, more, um, energy than what it takes to, uh, maintain it or increase it.
Speaker 1:Yeah, well. Well, I guess one thought was having while you're talking to was. You know, the possibility is one day these become the main thing, right? Yeah, like AI is the main thing. There's not search engines, right? Well, not in the status that they're in now, correct.
Speaker 2:Correct, yeah, and the instance that we see it now, I think it'll be a very different landscape, kind of some sort of an amalgamation of like a search engine and a chat bot and other thing like that. Right, it's kind of like what we first, at least what my first envision of like a Google Assistant would be, or a Siri would be yeah, or your iPhone users, we're out of here. But, yeah, I feel like it would be something akin to that where you're not going to any of these anymore. You're just like, hey, what is this? You?
Speaker 1:know, help me find whatever Right Exactly, or do this task or whatever so of course you always want to go more and more green, but I mean, would it be a problem if that's like the biggest power drawer that we have from a technology standpoint someday in the future? You know?
Speaker 2:I mean, sure, I guess that wouldn't be the worst thing, but it is one of those things that we still need to be cognizant of. I mean honestly, if anything, this should be one of the biggest reasons why we should push more towards more green energy creation methods, greener energy creation methods. So that way we are not, you know, that way we can have our cake and eat it too. You know, you can use a huge amount of power, but you have these tons and tons of redundant green energies that are not polluting and are zero carbon, footprint-wise or whatever like that and not like zero carbon as in. I'm buying carbon credits, because that is a thing, but zero carbon as in. I am literally not producing any greenhouse gases to go up into our atmosphere. So I think it does have that possibility of really pushing us towards that.
Speaker 1:Yeah, yeah, I agree, that's interesting, that's really cool. Well, no, that's awesome. That's awesome, man, yeah.
Speaker 2:I mean sorry, Well, go ahead.
Speaker 1:No, I was just thinking of something silly. But no, what were you going to say? Because I was about to move on to the next topic. Unless you want to add more, no, no.
Speaker 2:Actually, I was going to say I was like this leads us great, perfectly into our next topic and I'm going to let you take it over, yeah.
Speaker 1:That's what I'm talking about. We've been doing a podcast for a while, yeah, so you know. I kind of laid it out at the intro here, but the New York Times, reportedly, is thinking about suing chat GPT. They added to their terms of service just a few weeks ago that AIs could not scrub their website for information, which I find that fascinating, because I'm sure there already have been others that have done it, but I'm sure there'll be more. You know to follow this. That's going to be. It's going to hinder its growth. But the real big thing is, if it sues chat GPT, this could go to a place where it's in the federal court and if New York Times wins, then chat GPT would be completely scrubbed clean. Like you know, Mr Clean would come in there and just be, like you know, and it would have to start completely over. But see, the difference this time is so many websites would be blocked from it studying Right. So this is interesting. What I have a hard time getting on board with the journalism issues.
Speaker 2:You know what I mean? No, I get, that, is it?
Speaker 1:because most of the stuff's behind the paywall.
Speaker 2:Like I would say that right, because I mean, think about it right. We already know that when a lot of these journal, these news papers, as well as just these news stations moved online, they started to really struggle because, you know, a lot of their user base was from you know, the paper, right, getting the paper in the mail or whatever like that. And so when we started moving more towards a digital age, people were less likely, even if the subscription was really cheap, but they were less likely to pay that subscription model. They were more likely to use other means to be able to, yeah, get the news that they wanted and all that kind of stuff.
Speaker 2:Correct, correct, right. So I can't understand where they're coming from. Where now you're going to have an AI that's going to do this right without ever seeing the article right or deliver the information without ever like delivering? Who created this article? Who wrote this article? Where did it come from? Blah, blah. Of course, you know, putting in standards for AIs to like, cite their sources and all sorts of other stuff is great, but it still is. There's very few people who are going to go back and actually check right. Think about it. When people Google search something, they're very it's very rare for them to go back and be like, hmm, all right, I got that one opinion, let me jump to the next one. Let me jump to the next one and I read a couple of different articles. Now they're going to stick with that first one. That sounds right to them and they're going to keep going.
Speaker 1:I agree, man, that's interesting. So, yeah, I don't know. This is interesting to me. I wonder as to what it is that they're concerned about having been scrubbed, because if it's like historical details, I mean that's going to be everywhere. But if it's like exact things that they wrote, I don't know. I mean, I don't know, man. Yeah, the scope is kind of broad. It's not plagiarism.
Speaker 2:What's that? Oh yeah, the scope's kind of broad.
Speaker 1:Right, because you know again, I've never had chat GBT. Give me something that's verbatim, something else right, mm-hmm? Yeah, I just don't know, man, That'd be really interesting for it to be completely plagiarized. I mean, we talked about this a few weeks ago. That's what some of these people think is that their work is, just like a lot of authors and artists and stuff, their works is straight up getting plagiarized. You know, mm-hmm, and I have yet to see that. I have seen, like you know, using information gains to write its own thing. You know, but I just haven't seen that. Maybe that's why this lawsuit won't go anywhere. You know what I mean. But also, my biggest question was this I wanted to ask you this because we've talked about this before Chat GBT wasn't taught by going to website to website, to website to website. It was taught sorry, in this massive database, right?
Speaker 2:Yeah, yeah, essentially, yeah, it was a massive data set that it had or that they purchased from another company, most likely of information that that company was able to obtain via the or sorry, either via scraping or, you know, asking permission or whatever, and then subsequently selling that information that they were able to obtain to you know different organizations like OpenAI, who would use that then to train their AI model off of this, off of that data right. So you know, it is very important and it does kind of it can cause issues later on down the road because we don't know exactly how. Like I said before, it's pretty broad, so it can have broader implications than just AI.
Speaker 1:I agree, yeah, yeah, that's a good point. So I was just thinking about that because, you know, that kind of makes information even more of a valuable than it was before. You know, and now all these AI is like some of the eyes are going to be made behind the scenes and they're not going to do the best things, right yeah?
Speaker 2:yeah, exactly, you know, it's one thing that's kind of interesting that I thought of, too, is that I feel like for the longest time we had already we had started to get to the point of where a lot of these people who were housing so much data, so much user data especially, didn't know what to use it for. And then, long comes, you know, here comes along AI. Right, you can feed that exact that user data that you're just holding on to to these organizations that are creating AI's and AI models, and you can now have a new use for that data that you've been collecting, that data and that information that you've been using for.
Speaker 1:That's a good point.
Speaker 2:Yeah, data brokers are.
Speaker 1:It's a very lucrative field because of that you know Right, which is that's not an easy field either. But man that's been going on for a long time and now it's probably more profitable of a use than ever, you know.
Speaker 2:Yeah, exactly.
Speaker 1:Yeah Well, I think we had a good discussion about this. That was more of a quick mention on my part, no real reason to dive into it deeper because it's not official yet, you know. Yeah, so unless you had something you wanted to add, bro.
Speaker 2:No, I mean, I think the only thing that I wanted to add is that it's really interesting to see these first few lawsuits or even political hearings that are going to come up with, not just OpenAI, but all these other companies that are trying to jump into the AI game. It's interesting to see where these rules, rulings of these cases can, how that can change and shape how our AI is and how it works in the future. In some ways, maybe this is the tinfoil hat to me, but this is one way where one way to slow down or stop the progression of AI. Yeah, it's definitely that, because at least, even if you wanted to do a pause, this is one of the best ways to do it. If you can get a judge to side with your lawsuit, then you can set AI creation, as well as AI progression, back by maybe years worth.
Speaker 1:Yeah, absolutely yeah, they have to find another way to gain information. That's a good point. Yeah, there could even be situations where, depending on what the court asks for, they could ask for a stay or a hold on chat GPT's services. They could be blocked out before the trial even starts or, I guess, while the trial is going on. It's interesting. Well, I think we had a good discussion on this man.
Speaker 2:Also.
Speaker 1:I just went full screen and I basically just realized it looks like I have an outline of hair around this giant baby face. It's like when you shadow the edges. That's what it looks like.
Speaker 1:Anyway, on that note, thank you guys so much for tuning in. We have a great time every week doing this. Just because we're best friends, we're brothers, we get to catch up. You guys make this even better. So thank you so much for being here, for being here every week. Please remember to like, share and subscribe. Smash the follow subscribe button and we'll catch up with you next week.
.JPG)