Good morning cyber traders happy Tuesday everyone welcome back on another exciting you know trading Tuesday I usually call it a lot of good stuff moving on get a lot of greens happening on the watch list got a nice little run up on this F.W.B.I. stock look at that it was a nine dollar stock at the beginning of the you know back in the beginning of January but it's making a little bit of come back looks pretty nice good spread goodbye I know some of you guys jumped on it early in the morning we'll talk a little bit more about it. But before we go ahead just kind of kind of get prepared what we got going on this week. Once again it's the early part of the week. Tuesday Wednesdays and Thursdays are the best days to trade so we've got a couple of good stocks that made some big moves not only that but there were some really nice moves on some brand name stocks to keep an eye on them but. Even though the market was up a little bit yesterday we're getting a little bit of a down market right now.  You know I've been a big fan that Tesla trade it's been really breaking out right now when I was looking over here on level four. Oops I took it out hold on. You know we've been talking a lot about Tesla and the reason why I like about stocks like this and other ones it has just great iceberg orders you know I mean you got those big block orders and what I want to show you on this one was really cool. There's a ladder effect going on. Let me show you what's going on right here so you guys can see it. So there was a buyer over here right around here about ten twenty thousand then you bid it up that's twenty three twenty four thousand is a nineteen thousand and you see how the stock started. You started back here on eight forward this morning and he kind of held it at the two twenty two eighty and now look at we had twenty three thirty and get a nice little pushes here and you can see this guy right here at two or four just canceled and lowered his order. So we're getting some nice guy nice iceberg orders on this stock and that included a couple other ones we're going to check out. So let's go over that really quick. Yeah I mean Grant like you just said there's a lot of really good steps that are going on certain stocks but I do want to cover some of the stocks we did trade it yesterday. So anyway so we got going on right here and regarding about what happened early this morning I mean yesterday.  OK so this was probably if you were here logged in on social media you know we're live every morning at nine a.m. we were talking about ASST yesterday and a lot of people did really really well in pre market with this ASST. And then you could see it just kind of died when the market opened up. So it was just a great great spring pre market trade stock went from a dollar fifty all the up to three dollars. I know a lot of you guys quit trading after that and you know what that's all that matters you're going to be here all day you know that where it comes down to it. But the what was really nice about yesterday what moved really well was all the crew stocks.  Now by the time I found it and we kind of shared it it was around 1450 so there was still a good movement there. But what was nice about this order right here for everyone that's in our trading room you all witnessed that there was a huge iceberg order at 15. And then it pushed it back down all the way to 1430 1436 came back up to fifteen dollars did not want to get past that big big order out there. I think it was like what 260,000 shares or something like that right. So I mean now it kind of broke it. I wonder if he's still out there buying it. So over here I'm looking at it right here and you can see that there's that 15. He's not there anymore at 23. I mean it looks like he usually sometimes they pull the order early but but there was this order right here for about 120,000 around $15 around seven o'clock this morning 120,000 shares. Wow looks like he pulled his order big order execution got executed here looks like it's pushing up so the stock is moving up pretty nicely. Okay. So I'm putting all these stocks on on my list and not only that but Norwegian also really nice move to $17 stock all the way up to 18. You could see the long term trades. So listen they were not on our watch list as a day trade for some of you know this but yesterday they became day trades and I'm looking like swing trades. So those all look pretty good now Royal Caribbean I know a lot of people look at it and like oh I'm a Royal Caribbean fan. Yeah it was a good good day trade a good swing trade day trading was as nice as carnival and Norwegian they trade so much better. All right. So that one was that new trade yesterday which some of you missed out. Once again, I'm not this is what makes this exciting to get ready for the next day. Okay. Because there's a lot of fishing at water and just whatever you just didn't go out today. Don't worry about this could be new ones couple of the ones just want to show you what you missed out. AUD was awesome 62 cents went to $1.50. And then Carvana. Carvana has been like we just been trading this thing like an animal CD CDNA. This stock has just been, you know, great push good volatility starting to get a little volatile though. It's got these little nasty shakes got to be careful of it. But but if you want to keep an eye on it, you know put on a watch list it's there it's there and it's moving pretty well again today. This morning it's not it's not up a lot 4%, but it is doing pretty well too. And oh, one last thing I also want to point out all those California bank stocks that went out of business. They're also did pretty well. Got a good pop on that one. They became good swings key bank also pack W they're moving up nice and slow from their lows, but they're a little bit. Not more of day trades, but they've been pretty good swing trades. All right. So I got the I'm putting the the all the cruise liners on our watch list. So we got Norwegian we got we'll keep those on. And we're also going to throw back on Carvana again because that's been moving pretty well too. Now that's how you know when things trickle in from the day trade and could go into a swing trade and follow along. Now there are a couple of really good ones I want to point out. Now there's this one that we found earlier which is doing pretty awesome nice 53,000 share buyer just showed up since we started. So you're right here. You can see him right there. 53,000 just show up at 9 a.m. So you can start seeing program trading starting to kick in right now. So that one the only concern I have about it trade 20 million shares of pre-market. And as of right now, you know, it's up 134%. I know that is some of you were up that much money. I think you probably take a profit. Not only that, if you look in May, if you look over here in March, $3 is a big resistance levels and it got close to waiting to back off. So I want to see you get past this three. The only good thing which some of you don't know that are watching online but cyber traders, you know this. I'm not seeing any three sellers yet. Maybe they're waiting till the market opens up, but we'll see how that pans out. So we got the FWBI. Cheap, nice, inexpensive, gorgeous. Another stock that made that looks like it's moving, but she started back off. So about 48% is this MGIH. I'm pretty volatile in pre-market. I don't have it. I got to load it up over here. MGIH had it off here. We get some data on it. Let's see what we're looking at right here. So, okay, we had a buyer that was executed that looks pretty good right here. You can see this big low volume bar right here at 905. There was a, it's not a lot. 28,000. Yeah, this guy right here was holding up pretty strong. 16,000, you know, about 24,000 when you add up all together. It's holding up pretty good. So it looks like we got some good support levels around 260 on this stock, which is right around here. You can see that's really the low, almost got into it. So that's where that buyer was. He canceled. Now remember, we talked about this yesterday in the trading room and a lot of you saw this. Sometimes you'll see orders out there. They'll cancel it and also then they like, you know, screw it. I got to buy the stock. So they'll sit in market and they'll buy it. So we see that a lot and we saw a lot of great opportunities in the trading room when it did that how the stock moves. So once again, by the way, if you're watching on YouTube or any of these social media on the top left hand corner, if you want to join our trading room and be there all day, just take your phone, scan that QR code, you know, and get in there. All right. But we're going to trickle. We trade a lot of these stocks going into that open. So that's another one that's moving. YS backed off SOFO. This one, not really, it's kind of channeling right now. I'm seeing orders at both places. So it had a really good pop. I hit a resistance levels right around a buck 15 came back down and you could see that on the intraday chart here. I'm seeing orders out there. Some buyers is showing up, you know, it's 4 million shares. I'll put them on the watch list because it is an Aztec stock and, you know, you always get some kind of movement there. SIOL, another one, nice cheap stock, 15%, 4 million nice spread, two size a little small. She did back off from 380. She's down to 270. That's a pretty big drop for a pre-market and a cheap stock like that. All right. I'm done there. New York Stock Exchange, AHI. For some of you who are here, this was awesome. Okay. But like we always say, it ends up in the gainers, ends up on the losers.  We traded this about two days ago. Went from 60 cents to 320, killed it, you know, and boom, now you can see it's tanking. So parties over, fortunately, could almost guarantee you that's not on your shortlist. Your broker will let you short it. All right. New York Stock Exchange, not always very rarely you'll find something pretty good in there. But Oracle's moving pretty nicely. Oracle's like doing phenomenal. Not that we're going to trade Oracle, but, and GameStop, look at this. Look at that little Faustal flag right there. Not bad. Not bad. GameStop. Everybody see that right there? Let's keep an eye on that. GME, haven't traded that a while. NEO was good too yesterday. That's right, Josh. Got to bring that. We'll keep an eye on that one. NEO looks like it's moving also. Had a good move yesterday. And also we're throwing NEO on that list too. All right. Okay. So regarding about, so that pretty much does it. Now, before we leave, couple of big announcements I want to talk about. So first of all, you know today's Tuesday. It's traders talk at 11 o'clock. So we're going to have that in the cybergroup room. So if you're in a trader in the room, don't go anywhere. You know we stop commentary at 1030. Give you about a 30 minute break and go into that. So if a lot of you know this, that we have that, what you recall, we have the, we have that event that's going on this. Oh, the pre-market. It's called the pre-market coaching group. And it starts in July. So if you have not spoken to your education advisor, remember it's a very small group. It's like six people. It's, if you like group coaching, if you like coaching, you might want to do the small group coaching, the advisor about how to get into that. I think you definitely want to jump into that too. And then tomorrow I believe we're going to have Rich do a, a workshop with you guys in the cybergroup room. Once again, same time, 11 o'clock, how to set up your program, how to set up your execution system and what separates one brokerage firm and why you want to do it another. I know that's like everyone's biggest issue. So you don't want to miss those events. Remember 20% trading, 80% education. Okay. Everyone does the opposite. You can't make money unless you learn how to trade properly. So please take advantage of all those things that we give you here at cyber trade university with all the instructors and all the students. Okay. With that knowledge. So we got the list here. Listen, if I see something good, we'll go out there and share it. Make sure you're, you have our app. Make sure you have our alerts on our Twitter. We'll send those links out to everyone. So in the meantime, I'll see you guys back here at 230. Actually, if you're in the cybergroup room, we'll see you back at 11. We'll start commentary when the market opens up, but everyone on social media will see you back here at 230. Or once again, click on that. You cure our code on the top left-hand corner and we'll get you in there. Cyber traders. Once again, like we always say, you see something, you say something. And if you're new here to cyber trading university, you're one of those trial members, make sure you spoke to education advisor so you tell you exactly what to expect because it is going to be overwhelming from you. But when you explain to you in those workshops, you're going to see that, damn, all this time you've been trading blind and we need to fix that. Good luck everyone. Happy trading and be safe. We'll see you back at 230.


Hi everyone, Sean with jaspyscasebreaks.com here doing the team random randomizer for Panini Elite 6 box picker team number 7, where you're guaranteed a team. So this is a picker team, what we took 13 of the teams, put them into a randomizer, sold 13 spots, we're going to randomize the 13 customers names, and the 13 teams that are in the randomizer including the Jags, the Bears, Bucks, Dolphins, Eagles, all the way down to Washington. And whatever name the customer matches up with, whatever team they match up with this is whatever team they get for this 6 box break, which is the first half of a fresh case. Picker team 8, second half of the case is in the store now. So here is a list of customers from Simon Meyer down to Last Spot Mojo, Adam Sainange, and the teams from the Jags down to the Washington football team. Dice will randomize both lists and pair them up. A one-on-one, Snake Eyes, two times guys, good luck. One, two. From Matt down to Shawn Matic. Are we only randomizing? We will only randomize the customer's names, so there you go. I'm glad we didn't randomize the teams. So actually let me cut this list from here. Glad I read. So two times on the randomizer for the customers, there is the full list. So Matt McLaughlin gets the Jags, Shawn Matic with the Bears, Simon Meyer with the Bucks, Shawn O'Leary, Dolphins, Eagles and Vikings, Shawn Matic, Packers, Adam Sainange, Cowboys, David Duffy, Broncos, Simon Meyer, Giants, Shawn Matic, Raiders, Shawn O'Leary, Rams, Shawn Matic with the Washington football team. That is two times on the randomizer for the customers, two times on the dice, and that's the team randomizer for 2021 Peony Elite 6 box picker team number 7, team random, where you're guaranteed a team. And there you go, picker team number 7 coming up next. I'm Shawn, jaspyscasebricks.com. Thanks for hanging out. We'll see you next time.


So, I'm Captain Damien from the French Army. I come from the 40th artillery regiment in France, which is the artillery regiment with support to the second Armored Brigade. And we are very keen here to train with the Britain. And we have integrated in the EFP battlegroup. So I'm the artillery legion officer, which is used to connect between the British headquarters and the French squadron with its MBT Leclerc and the Hoser kind of vehicles. I come from the Champagne region, very famous, nice, 150 km east of Paris, where is a lot of training areas and stuff like this. Yes, I'm married for six years right now, and that's it. How's it been? It's very interesting for us to train with the British, with them for four months. And with the US, just right now, because it's nice for me to remember the great history in command we have since the Second World War and the First World War before. And I'm very happy to work with you. See you again firing, because we have not exactly the same guns, but it's very nice. And we are very happy to do that.


the applications that we have seen in real life, they are hundreds of microservices. Literally, imagine I have to go for each microservice and set its CPU threshold. First of all, I'll go mad doing that. Secondly, every time there's a release, and nowadays you get releases daily, it can change that. So you have to keep reevaluating. This is not practical. It's certainly not something a human being should be meant to do. This is perfect for a machine. This is why we used AI for this. Hi, this is Yoho Sapilbharti and we are here at KubeCon and CloudReadyCon in Chicago. Today, we have with us Raj Nair, CEO of Avesha Raj. It's great to have you on the show. Thank you. I'm happy to be here. It's my pleasure to host you here today. We are at this event. You have a presence here. You have folks have a booth here. Talk a bit about what has been your experience so far at this event. It's been very, very good. Had some excellent conversations with potential customers and partners and so we're looking forward to this. It's been a very great show so far. It is a great show. Did you folks make any announcement here at the show? We did announce our partnership with Dell and also we did a press release to that effect. We are very happy to be here. We also have this new product called Smart Scalar. We are unveiling here at this show and it's been a great product and especially at these times to help you to bring your cloud spend under control. Smart Scalar is a new category of product in the cloud optimization space and what it does is it takes metrics like application level metrics and infrastructure metrics and then brings uses AI techniques to do a predictive scaling of your pods. So this is new because other tools, they can give you recommendations. They don't actually do any scaling. We actually do the scaling and so this is new and it uses also some advanced AI. In fact, the same AI that was used for training chat GPT, the exact same reinforcement learning engine called PPO, Proximal Policy Optimization is exactly what we use to train this. So it's really a really advanced tool that can do amazing things for your cloud spend and to get you visibility into how your applications are behaving and how they're performing from release to release. You have all of that in a dashboard. So it's an awesome product. You said that there are tools which will give recommendations but they will not auto scale. Does that mean that you folks are the only one who are doing it? I just want to understand the state of ecosystem. There are other tools but they're not as advanced as we are doing, particularly from the way we're using generative AI for doing the scaling and the beauty of that is Ours is completely, it removes all work from the DevOps guys. So this is very useful. We also have some very interesting features like we have an event scaler. So what you can do is you can have a calendar of events and you can say to what level you want it to be scaled up and then right before the event our system would actually scale up your pods to the level that is needed. And just in case, let's say you didn't guess right and more than double of those came, no problem, we can handle that. So it's also adaptive. So beauty of that is somebody can get this product and start saving money today. Why? Just think of it, according to Gartner, at least 50% of clusters are underutilized or underutilized. With this, you can simply have a lights on, lights off schedule and that's it. You set that up, you say that these are my working hours. You don't have to be accurate because this will cope with if there are errors but then you immediately start saving money for idle servers that are just kept idle that's burning money in the clouds. Of course, we are here. So we have to talk about the elephant in the room which is Kubernetes complexity. Yes. Talk a bit about the impact of this complexity on cost. Well, just take this example. The applications that we have seen in real life they have hundreds of microservices. Literally, imagine I could go for each microservice and set its CPU threshold. I will have, first of all, I'll go mad doing that. And secondly, every time there's a release and nowadays, you get releases daily, it can change that. So you have to keep re-evaluating this. This is not practical. It's certainly not something a human being should be meant to do. This is perfect for a machine. This is why we used AI for this. Let's talk about one of the hottest topic these days, genitive AI. Do you think that it's just another hype or it's a reliable technology like Linux kernel or Kubernetes? I mean, I have been talking to a lot of companies which are putting Genitive AI into their products that they're building for enterprise customers. And then company like Avisah bet on it. It kind of validates these technologies. So I want to hear from you. How much are you relying on Genitive AI in your products and services? Yeah, no, it's a very good question. I think there is some hype to it. There's definitely, because even from our own experiences using chat GPT, we can very quickly see its limitations. You know, after you use it for a week or two, you'll start running into problems where it is saying something which is not necessarily true and like them. So you cannot use these tools blindly. You have to use it with common sense. What we have done is we have taken the good parts of it, which is the fact that you can train it and with a human in the loop. And that model can then be used to do some of the automation. But we are not entirely relying on that. Not do we recommend that. Which is, for example, why in the case of our event scaler, we allow you, the human, to put the schedules and so on. This will then compensate if there are any errors. A balanced approach is always the best approach. And I would not recommend that any other way. And even when it is running, we give you, like for example, if you were scaling up for an event, we actually do a connected to the GitOps where you get a PR, which you can approve. Any deviations, any abnormal things, always an alert is sent so that the human knows what's going on. And I would not recommend that it's not involved at all. It should be involved, human should be involved to oversee it. But it will be a great tool to reduce the TDM for humans. That's the way I look at it. Can you talk about how does Avesha fit into this cloud native ecosystem? Talk a bit about how you make developers life easier so that they can continue to focus on their core job, which is to be their core job, which is to write business application that adds value to these businesses. The interesting thing about using these technologies like Smart Scalar and even our other product CubeSlices, which is a way for you to handle a multi-cluster deployment. So think of an application that has to be in different locations, either full stack or even what they call poly cloud, where some portions are in different clouds. Well, in both these products, we are reducing the TDM of work, of which is very non-productive work that an application developer has to go through. In the case of the CubeSlices, they right now don't have any visibility. First of all, the connectivity is a problem that it can wait for the networking folks to set it up. Secondly, even after that, they don't get visibility and they have to take multiple dashboards, correlated, it's a lot of work. The Smart Scalar too, the issue is whenever there's a new release, you have no idea how it's performing. We have a view for the developer where they can look at how their performance changed over time. How did it, you know, has it suddenly decreased? They wouldn't know this unless they did lots of testing. We, when we do this, we have a, as a part of this Smart Scalar, there's a portion that continuously evaluates each microservice for its performance and looking at data. And then it's presenting this to you in a very visual way. So you don't need to do all of the tedious work. It is telling you that something is wrong and you can take action from that. So we believe we've added a lot of value from that standpoint, from a productivity standpoint. Let's also talk about cloud cost. Of course, there are companies, there are tools. They help with cloud cost management. Many helps with metering. Talk a bit about the role that Avesha is playing in this space. You'd always need tools such as, there are many in the market, they can tell you what is your current cloud spend in AWS and Google and so on, right? We are not in that category, but they work very well with us because now, after you do your optimization with Smart Scalar, you wanna see if that made a difference in the spend, you can go back to those tools. But we show you in a dashboard everything about the optimum behavior for your applications and if there's any deviation from that, you will know that immediately because just think of it, there are many dimensions to this problem. This is why it is a data science problem. You look at application, this application latency, there are errors, then there's infrastructure like CPU, memory, then there's the request per second. All of these things have to be taken into account and then of course the utilization that you wanna achieve. And if you look at the pods, the pod spec that you wanna have because again, that's another factor, it's too complicated for humans. This is why you need a tool like this. It takes all this data, munges it and gives it to you in a form that you can understand easily and it also takes actions or provides you also the ability to override it if you want. So these are all the benefits of this tool. Going back to the point of Kubernetes complexity, do you see that things will get simpler and easier or you see that this complexity will going to become more complicated? We actually see it becoming more and more complex, mostly because it is after all, just starting to be adopted at scale, Kubernetes. And now we see application or uses of it in a lot of areas, even for critical infrastructure. So now there's a need to claim the complexity. See, it's no longer, for example, multi-cluster, multi-cloud is a foregone contortion and Kubernetes itself didn't have support for that natively. So now you're left with a problem, right? So these are just the beginnings of it. Now with scale, we see issues like this, how do you scale this? How do you scale with pods and it's no longer, you could have gotten away with just a little bit of over-provisioning, but now if you did over-provisioning for all of your 100 clusters, you're going to go broke. So I think it's very important to pay attention to that. Very important to pay attention to the scaling aspects and to cost for Kubernetes to be successful. It's a great tool, but it needs this additional automation just help it get under control. And this is why we did this. Now let's talk about the evolution of Avesha. If you look at the evolution of the whole ecosystem, the evolution of the whole market, how are you folks evolving so that you are there with the customers wherever they are in their journey? Our founding principle is to be a SaaS, okay? So we have the, at least from the point of view of the product. Now, we have a work, you know, the CubeStrice can be completely installed in your premise without any connection to our system, which is fine. We support that, but we will, it's a subscription model. The reason we did this is we want to grow with the customer's needs. And they have been the ones asking for features and that's how we have been evolving this product. And we stayed true and committed to that. We want to, at all costs, make our customers delighted. And so that is our only role. So whatever be there, so to answer your question, initially we had some beliefs in our heads about the workloads, you know, a Panacea where workloads will just move around everywhere. We found that that's not the case. And then we learned that there are specific use cases. There is the migration use case, there's the resilience use case. These are specific actual customer use cases for, for example, a CubeStrice. And the interesting thing about Smart Scalar, if I told you, which is again an evolution of thought, we were thinking, oh, is it just all about because we were able to show dramatic savings of the cloud spend itself, you know, down to like, I mean, in some cases 70%. If I told you that that is not what is interesting customers, you may be shocked because they're more interested in their automation. For them, they have a small DevOps, they don't always trust their DevOps team. They know this problem as we solve. So they like the fact that we are solving it. It is not the raw costs, which is a shock in the beginning. But we understand the way they're coming from because for them, you know, they're not what these are institutions that are not worried about, they're growing very well. Saving some money on the cloud is not their focus. They want their DevOps guys to be more efficient because that will help them in their top line. Makes sense, right? Right. And also give us kind of either a glimpse or a teaser of what things are there in the pipeline. What to expect from Avesha next? We do have another product in that development. We call it Smart Traffic Director. And that one allows you to move your workloads to different clusters in response to load and latency and things like that. That is being in development. We hope to have that by the end of the year or early next year. The other one, of course, is that as we see more opportunities for automation, more things that we can bring into Smart Scalar to do its own magic of learning on its own, you know, better learnings, for example, on the VPA side, because that's another complicated area. So we want to use AI in more and more complex things for Kubernetes space to essentially fulfill the original motive for Kubernetes, which was to make this whole DevOps process more simpler and easier to deploy. We want to make sure that that stays the same. So AI is the magic that you can use for that. When we talk about developers, we do have to talk about developer experience. We do have to talk about culture. Talk a bit about the importance of culture for enterprises. Now, because of culture, sometimes they choose tools that fit perfectly into their culture. At the same time, there are tools, services that kind of becomes a catalyst to bring that cultural change which is needed in these organizations. First of all, I mean, a good point. What we have seen, you know, is that the, like the DevOps folks are super busy in all our customers. So they don't have the bandwidth to do anything beyond just the easiest push button type of operations. So what that means is we are seeing a shift, you know, to more and more of a SaaS, you know, purely, you know, including with CubeSrize, you know, one of the things that we're trying to do is introduce a managed control plane because the more we can do that can offload them, the more they want to adapt. So that is where the trend we are seeing from a culture standpoint. The other thing, of course, is there are customers. I mean, a lot of customers who still have VMs. The question is we can't ignore that. How do we help them in this transformation? So we are looking into connecting with VMs on the side of at least CubeSrize. And there are some explorations for some, couple of customers where they want to see if they can utilize our smart scaler with VMs, but, you know, where they would put the VM into a, like your word or whatever, you know, and then see there's some things we can do there. We are looking into those areas. So there are such things that are happening. Again, I'm not saying it's a culture thing I said, but it is the legacy. Raj, thank you so much for taking time out today and talk about Ayesha, all the things that you folks are building, working on. I see there are a lot of things to talk about. So I look forward to talk to you again soon. Thank you. Thank you very much, Apnil, and enjoy talking to you.


Jim Son is here today with the FanDuel Hurry Up where you're talking about undervalued tight ends for season long fantasy football. One guy on that list for me is Mike Gesicchi, currently the tight end 11, but he is my tight end number eight. There is more competition for targets now in my end, which is a down thing for Mike Gesicchi, but he gets the kind of targets we want. Downfield targets and red zone targets and there should be more red zone targets to go around this year because the Dolphins offense should get a tick up with Will Fuller and Jalen Waddell now in the fold. Gesicchi may not get as many raw targets, but the kinds of targets he gets have a lot of value and to me, that is worthwhile as a tight end 11 of being a target in the middle rounds of drafts. Another guy I like this year is Irv Smith of the Minnesota Vikings, currently the tight end 12, he is my tight end number nine and it's similar to Gesicchi. Irv Smith gets the kinds of targets that we want. Over the final four games at the end of last year with no Kyle Rudolph, Irv Smith only had 14% of the Vikings targets, but he had 25% of the team's deep targets in that time and 29% of the red zone targets. This is a team that is efficient from a passing perspective and will generate trips to the red zone. And when they get there, they showed last year they will throw Irv Smith the football. Irv Smith definitely has the talent, a former high-end draft pick now getting a larger role and to me, he deserves to be a target for us at tight end in that mid tier where there aren't a lot of firm answers. If you're looking for a super sleeper at tight end this year, give me Blake Jarwin. And yes, there is plenty of risk with Blake Jarwin because he's coming off an ACL and that means he may not have a big role in this offense, but it doesn't really matter. He's going as a tight end 20 through, which means the risk for him is basically non-existent. If he doesn't get targets, cut him and go somewhere else. But the upsides here are there. Jarwin showed in 2019, he could produce when he got volume. He did exactly that. And now he goes to an offense that looks to be pretty efficient for this year with a healthy offensive line, good weapons around Dak Prescott. And that means they should generate red zone trips. That's what we want for our tight end. Red zone trips, chances for touchdowns. So yes, the risk is there for Blake Jarwin, but so is the upside. And to me, that makes him a high quality target in the later rounds in your drafts. That's all we have for today on the Fandal Hurry Up. I think these tight ends should be pretty fun. NFL season is just around the corner. We'll talk to you once again next week right here on the Fandal Hurry Up.


guys welcome back to our channel. My name is Andrea with Food and Mentory Adventures in Food and I am here today with a Costco haul. I have not been to Costco in a while and I spent 178 bucks so let me jump right in. So the first thing that we needed was some toilet paper that was $22 and then I got a lot of really good sales items so I got this pizza. It is a 12 pack. I haven't tried it so I do hope that it's good. It's a 12 pack. You get six pepperoni and four cheese pizzas and they were on sale for $6.99 which I thought was a really good deal because I'm at home all day with my son and Howard is working from home so this is a quick lunch for us. If you've had it before and it's good let me know. I'm really curious and then my husband really loves these steamed dumplings and these were also on sale and they were $7 and they were originally I think 12 bucks. I really wanted to try this Korean barbecue pork jerky. I love stuff like that. I love Korean food and these were these were not on sale. They were a new item. They were well actually I'm sorry they were on sale. They were $8.69 or it was $8.69 I should say and then I am always using crescent rolls for different recipes. These were on sale for $5.79. You get five of them. They don't expire until May and you know that if you buy these in the grocery stores like $2.50 for a tube of crescent roll so it's a really good deal. What I was most excited to see at Costco were these wings because last time I went to Costco they didn't have them. I did find the Korean barbecue wings at the grocery store and I bought a bag at the grocery store which was one pound and it was like $6.50 or something. So they are actually having a sale on these wings. You get a there's four pounds in here and it was $12.50 or $13.50 a bag. I can't remember which. So I got two Korean barbecue because I love these wings and then I got one sweet Chipotle barbecue which we have not tried yet and then they also had buffalo but Howard does not like buffalo so I didn't get them. I didn't bother but I'm hoping that we both like these. If we do I may go back and get another bag before the sale ends. Then I got my lean ground beef. I really like this lean ground beef. It comes in it's frozen and you get five rolls or five chubs in a bag and they are 91% lean 9% fat and it was $17.49. So I got two bags because I only have two pounds of ground beef in my freezer and I use ground beef a lot. So I just grabbed two. The last time I got this beef they had a limit of one bag and the limit was gone so I just grabbed two. So an impulse item that I did buy today were these cookies. They were 8.99 European cookies and I do love these. I really like the ones from Pepperidge Farm with the assorted cookies but as you can see this is a pretty big box of cookies and let me try to flip it over. This is it shows you all the different cookies on the side on the back. It gives you a description of what's in the box and the flavors are pretty unique. So for instance that white heart is actually a strawberry flavored biscuit and white chocolate that sounded really good. This one right here on the end is an orange flavored shortcake. That sounds good to me too and then this one is right here is a short red cup filled with lemon flavored cream. That sounds good to me too and then this one is a vanilla sandwich cookie. All the flavors sounded really good and I hesitated on getting this. I had it in my car and I took it out and then I put it back because I couldn't pass it up. So I got that. Got some that was a longer store than I'm sure you guys wanted. Got some Kleenex and the Kleenex brand was actually cheaper than the Costco brand. These were on sale for I'm looking at my receipt here. These were on sale for $14 and then I saw these little sleepers for Harrison 18 months. He's not you know in this size yet but he will be pretty soon and I thought they were really cute. These were $11.99 for the sleepers and they don't have the fitties on them. These are really cute. Then I got Howard's some avocados and I think that and there were $2.99 for seven large avocados and I feel like last time I got him avocados from Costco they weren't good. He doesn't remember that but we'll see hopefully he'll like them and then I needed some more salsa. Mateo's is probably one of my favorite salsas that's out there and it's $5.99. This was $5.99 which is a really good deal because the smaller ones in the store are like $4.99 so can't beat that. Then we needed some eggs 24 eggs for I think these were $3.29. So that's it. This is everything that I picked up from my Costco haul. I hope you guys enjoyed it. If you did please give us a thumbs up and if you have not subscribed to our channel I certainly hope you'll do so. Thanks so much for watching and we'll see you guys next time.


If I could change one thing about Davis, I'll put more shopping centers here because then we'll have a lot more people here. It'll be a lot funer too. Like Sam kind of like what he said. Like put more like, well like put like more like CD places and stuff like that. Yeah okay. I'd put more places where kids can hang out. Like fun places. Yeah like the third and B because I heard they were closing that down. Cut. You should raise all the speed limits in Davis 10 miles an hour because it's completely ridiculous. If I could change one thing about Davis it would be to bring an arcade back such as this arcade here because it kind of just mysteriously shut down and now if you want to play video games you have to go all the way to campus and play on campus and the problem with the ones on campus is that the games are always broken and basically just really screwed up and it's kind of inconvenient since I'm not a student anymore and I have no reason really to be on campus most times so something down telling like an arcade would be nice to have again. I'm so sad this one's gone. Oh lights down at all. Like that's about it. I would get rid of that horrible shopping center where borders and the gap and plutas and all those places are. I don't like that shopping center at all because I think it represents nothing but corporate greed and I can't believe this town would be willing to support that kind of junk here. If I could change one thing about Davis I'll put more shopping centers here. Cut. There needs to be a donut shop downtown.


Today's digital environment overwhelms us with stimuli from many different sources such as advertising campaigns, emails, social media messages, push notifications and many more. These stimuli intend to attract our attention. Basically, these exogenous stimuli can redirect our attention involuntarily and independently of our goals, intentions and awareness. In fact, such exogenous attention stimuli can trigger effective processing which interrupts slower cognitive processes and induces rapid and spontaneous decisions. The experimental psychology literature highlights an important relation between individual attention triggers and risk-taking in various domains such as sports, traffic or illicit substances. Now we are interested in financial markets. Thus inspired by this literature, we want to study the impact of individual attention triggers on risk-taking in the financial domain. Hence, we test the hypothesis that financial attention triggers increase financial risk-taking. We conduct an empirical analysis to study our research questions. There are two main challenges that we have to overcome to be able to study the impact of exogenous attention triggers on individuals risk-taking. First, we have to observe individual triggers of attention. While we do observe a large number of aggregate attention triggers such as TV ads, for example, we commonly do not observe who actually sees a specific TV ad and who does not. However, such knowledge is important to be able to study our research questions. Second, we have to be able to control for individuals risk-taking when they do not observe a particular attention trigger. Thus, we have to be able to observe both individuals who observe a push notification, who observe an attention trigger and those who do not. Then we can compare the risk-taking of individuals who do not observe an attention trigger to those that observe an attention trigger. We overcome these challenges with our access to a novel dataset. We observe the customers of a large broker that sends standardized push notifications to its customers. These push notifications serve as attention triggers that we can directly relate to the same individual's trading activities and risk-taking. This allows us to then study a standard difference in differences approach and compare the risk-taking of individuals who observe an attention trigger and those who do not observe an attention trigger in the same stock at the same time. Our measure of risk-taking is the leverage of an individual trade. Leverage increases the scope of extreme returns and thus is a pure measure of risk-taking. Importantly, the leverage is not dependent on the stock that investors trade, nor on their wealth. Thus, this setup allows us to study our research question and to test our hypothesis. Our main result is that attention triggers increase investors' risk-taking. Attention triggers induce investors to trade with higher leverage. In line with the concept of effective processing, we also find that the median reaction time of investors to push notifications is very short. Quantitatively, the effect that we observe allows us to explain approximately 12.5% of the standard deviation of investors' leverage usage. We believe that this effect is rather large. To put this effect into perspective, we take a look at a recent study by Andersen et al., who studies the risk-taking of individuals after they incur losses due to bank failures in the aftermath of the global financial crisis. In response to such a huge personal experience, investors decrease their risk-taking and this decrease allows the authors to explain approximately 37.5% of investors' risk-taking. Thus, given that we only observe a small push notification that does not contain any fundamental information, this effect that we observe is quite remarkable. Next, we are interested whether the increase in risk-taking is equal for all investors and for all stocks. Thus, we study whether the increase in risk-taking varies with the decision maker, with the decision domain and with the context. We find that male investors, younger investors and less experienced investors increase their risk-taking more after receiving an attention trigger. We also find that the effect is more pronounced for stocks that the investor is less familiar with. Lastly, we observe that the increase in risk-taking is more pronounced for larger firms, for firms with more analyst coverage and for firms with more news coverage. Our findings are highly relevant for two important reasons. First, from an academic perspective, understanding the risk-taking behavior of individuals is crucial to the study of choice under uncertainty, a better understanding of financial markets and financial stability. Second, from a practical perspective, we observe this large number of attention triggers in our digital environment these days that affect investor behavior. Many brokerage services send standardized push notifications to their customers. They may do so to provide their users a unique user experience and to keep them engaged with the app. Thus, it is very important to understand the impact of such services on individuals' risk-taking and trading activities. Illustrating the causal mechanisms that underlie financial risk-taking provides us with entry points to design interventions to modify individuals' risk-taking in situations in which decision makers or society desires such changes. Moreover, we believe that studying the impact of attention triggers on other investment dimensions, such as the portfolio composition, for example, may be a fruitful avenue for future research. In particular, push notifications may help investors to overcome the issue of having under-diversified portfolios. Having better diversified portfolios may actually outweigh the effect of larger risk-taking at the individual level. Also, push notifications may help investors to overcome investment biases, such as, for example, the disposition effect.


So, if you haven't heard, the 3DS servers have just shut down. This means no more online play, no more downloading updates, and most importantly, no more Dragon Quest DLC. You see, the 3DS has two mainline Dragon Quest games, DQ7 and DQ8, and what you might not know is that they both had DLC. Dragon Quest 7 had these DLC tablets that you could download from Nintendo servers, they had lots of additional content including new areas with exclusive monsters, rewards, and even some special story chapters, while Dragon Quest 8 had various weapons, armor, and accessories that would give players a huge boost, including the Sword of Erdrick. Now, because the servers are shut down, this makes getting the DLC kind of difficult, especially if you want to have the complete experience for these games. So that's why I'm going to show you, right now, how to access the DLC for Dragon Quest 7 and Dragon Quest 8. Now, first things first, you're going to have to have a hack 3DS to do any of this. Now that I know, some of you don't want to do that, I've heard it many times, I don't want to hack my 3DS. Look just hack it, there is no reason not to hack your 3DS right now. You are missing out on so much functionality just using a stock firmware, plus what are they going to do? Ban you from the non-existent servers that they just shut down? If anything, this is a very good reason to hack your 3DS because otherwise there's so little you can do with the console. So with that said, I'm not going to show you how to hack your 3DS because it'll take too long and it's really easy. If your 3DS isn't already hacked, just go to this website right here, 3ds.hacks.guide and follow the instructions.  So follow the instructions and when you get to this point where you have an app called Luma and an app called FBI loaded on your console, then you can come back to this point and we can begin. So first things first, I'm going to show you how to get DQ8's DLC first because it's a lot easier. And this part is easy because with DQ8 you only have the DLC items to deal with. So it's just a matter of using a cheat code with Luma to cheat the items into your inventory. I know it doesn't sound ideal but this is the only way to do this and it's super easy. So it's probably best to do this on a brand new save because the cheat code in question will overwrite the first 29 items in your bag with the DLC items. And this might be harder to do if you already have a game going. So use this cheat code with caution. So everything you need is going to be found here in my google drive. I have a DQ8 folder and a DQ7 folder. In the DQ8 folder I've not only included the cheat codes but I also included various optional mods to enhance the game. You're welcome. So I've got various patches here for you to apply using Laird FS if you choose to do so. These are completely optional. I'm including an orchestral patch that replaces the game's shitty MIDI soundtrack with a symphonic suite. And of course we also have the uncensorship patch to restore the game's outfits. Because as we all know, gazing upon Jessica Albert's thighs is an essential part of the Dragon Quest 8 experience and I'm not about to dishonor the memory of Akira Toriyama by playing a butchered version of his game. I'll include a tutorial on how to use these patches in the description because that's not what we're here for today. We're here for the DLC and you're going to want to use this text file right here for that. This file has the cheat code that you will be using. In order to activate the cheat you have to go to the 3DSSD card root, click on Luma, then title, then depending on your version of Dragon Quest 8 you will make a folder here with a specific name. If your copy of DQ8 is a North American copy the folder will be called this, a whole bunch of numbers. If it's a PAL European copy it will be this. They're very similar looking so make sure you choose the right name. This is very important. You then drop the cheat code text file into your folder. Then it's a matter of inserting the SD card back into your 3DS and booting up the game and starting a new save file. Now you need to at least get to Fairbury to activate the cheat, that's the first town in the game. You can't do it here in this intro tutorial section. If you do it here you will crash the game, trust me I've done it. Get through this quick section and when you arrive in Fairbury you're going to hit these buttons. Left shoulder button, down on the d-pad and select. You click all three of these, then you get into this little homebrew menu. Then you simply go down to cheats and here you activate the cheat to give you your items. And if you check your bag you will see that all the DLC items are here. Now it's safe to go back into the cheat menu and turn off the cheat code so it doesn't overwrite anything else. And that's it, the items should all be here and in your inventory. There's a lot of great weapons here to use, you can use Erdrick's sword which is awesome and I'm sure most people wouldn't want to miss out on this. And that's how you get DQ-8's DLC, very simple right? Well unfortunately DQ-7 is not as simple. So with DQ-7 you've got these DLC tablets with unique areas to explore and actual story chapters so it's a bit more important.  They have to be downloaded from Nintendo's servers.  Of course there are some efforts to make fan servers for 3DS games which seems promising but at the moment they aren't very stable and they haven't added support for DQ-7 yet. So I decided that the best way to preserve this DLC is to run a clean save file with Ostr and Marible as low a level as possible with no chest or barrels open at all to make several save files that people will then use to experience the DLC. And this is where the app called Checkpoint will come into play. So first you need to install Checkpoint onto your 3DS. To do this you download Checkpoint.CIA from the Google Drive. Drop it anywhere on your 3DS SD card. I prefer to have a dedicated CIA folder but it's completely up to you. Boot up FBI, navigate to where you put the Checkpoint CIA, select it and choose Install and Delete. It'll take a little bit of time to install so just wait. And when it's installed we're ready to work on DQ-7. So what you have to do first is play Dragon Quest 7 and save in the game. Very self-explanatory. This will create the folder that we will need to use. You will then go into my Google Drive's DQ-7 folder and here you have different save files to choose from. These are named after the people I had helped me with this project. Danny Fofani from North America and Grania from Ireland who both play through the entire game per my instructions based on a guide by Ignacia to create a clean save file for players to use where Oster and Maribel are both level one so you can enjoy the game from the start. Grania even made an interesting video detailing what the process was like which I think you should definitely check out later on. I'll link it down in the description. Now it doesn't matter if you have an NTSC copy or PAL copy of the game, they are both interchangeable so it's only a matter of reading the readme's, seeing the differences and deciding which one you want to use. Sadly the saves won't work on a Japanese copy of the game. Ironically only the western versions of the game were preserved for a game series that is much bigger in Japan than it is here. Which is really unfortunate but what are you going to do? There is not a lot of time to get this done. So you go into one of the folders and find two save folders to choose from. There's one for when you just get to the haven and one for the exclusive post game DLC. Because we couldn't possibly put them all in one file, these saves each have the DLC spread across three different save files which is unfortunate but it's better than nothing. You can still enjoy the DLC. So you select these two folders, copy them, then you go to the 3DS SD card route.  And here is where you paste the two folders you copied. And that's it for this step. Now insert the SD card into your 3DS, boot it up, open up the checkpoint app, let all your games load up, navigate to the Dragon Quest 7 icon, then you select the game. And here you will choose to either backup or restore a save file. You can backup your own save game, name it whatever you want and reload it later on. It's like having a memory card for your 3DS. It's one of the biggest reasons I tell people to hack this thing. So anyway you're going to want to choose restore to use the save file provided. Simply choose the save file you dropped on the SD card, restore it, and soon enough it should be done. So now which is a matter of playing Dragon Quest 7, you'll immediately notice that there's three different save files and this is because we couldn't fit all the DLC in one save file. So check out the readme, choose the one you want to use, and you'll probably end up here in the Haven download bar which sadly won't work anymore.  To use the DLC tablets, you just leave this building and go over to this area. Then it's a matter of inserting the tablet into this pedestal, and if you're done with this and want to change to another save, it's as simple as going back into checkpoint and doing the same thing again but for a different save. And that's it. That's how you get the DLC for Dragon Quest 7 and Dragon Quest 8 on the 3DS. Honestly, it kind of sucks that they even did DLC for these games since it's a 3DS game. They could have literally just had it unlocked from the get go, but unfortunately we have to go through all these hoops just to get it, and this is the best we have so far. Maybe one day there will be a better option but for now this will have to do. So I hope this video was helpful. If you enjoyed this and you're interested in messing around with Dragon Quest 9's additional content, I also have a video on that right here that you should definitely check out as well. I'll see you there.


I'm here to tell you guys that those individual blog posts while engaging and hopefully great traffic drivers of their own can be turned into not only a thing that makes you say at parties I'm an author and something that you can also use to market whatever you are blogging about. I'm not on the screen I'm not on the screen technical difficulties. Well anyway so I can at least talk to you without my slides up there. So basically what I do for a living is I write content for my clients and eventually we end up doing a lot of similar content. A lot of our clients are attorneys personal injury divorce things like that and you end up writing very similar topics as individual blog posts. We got to thinking wow these could actually be turned into chapters of an e-book and so that's what my company started doing. We started taking our clients pre-written content and repurposing it into an e-book. That's not to say that we just publish a bunch of blog posts as an e-book because not only does that not have as much value as a full-on new e-book but that's also not giving our clients a lot of value. So what we do is we take very well performing blog posts on their site and we'd say okay we'd organize them in a very logical format such as if you got into a car accident here's seven steps to take after a car accident you know call the police get your injuries treated document all of your medical expenses and whatnot call an attorney call your insurance company so on and so forth. We would flesh out their blogs that we've already written and rewrite them maybe update some statistics if we use car crash statistics or if legislation changed about the local insurance laws we would update everything and then we would make it into a digestible format. Our e-books usually run somewhere between 20 and 30 pages could be a little longer if we throw in some images or some graphics but it's to say that you don't need to write Lord of the Rings again and have you know hundreds of pages in this e-book if you want to go that gung-ho I'm not going to stop you but is this autoplaying now I don't want you to autoplay stop no okay well actually that brings me up to speed here so let's pause and go back one there we go um so like I said you look for well-performing blog posts and in this case this would be your content audit you can do this very easily in both WordPress itself as you can see the top posts and pages here your views or you can do it through Google Analytics by going into your behavior and seeing your um pages in your content so talk to your analytics person if someone else handles your web traffic or if you use there's a ton of plugins that do that as well I'm not here to talk about that um but basically find what's working for you and utilize that as your momentum to start your e-book the next step is to organize your e-book as I was saying before if you have a step-by-step thing like if you have a cooking blog uh you might want to do step-by-steps for how to repurpose garbage left over from making a dish so like when I do a chicken I always butcher a whole chicken and I always have like wing tips and the backbone and whatnot I save that and I make soup stock so you would do you know different steps for things like that if you're a car nut and you like to do tutorials on how to replace an engine you could do step-by-step on how to replace an engine in some kind of car um so you want to organize logically in that case if you're doing step-by-steps or if you just have blogs about the same kind of general topic like if you talk a lot about um like I'm from Orlando so we do the disney parks if you talk a lot about how you have a child with a peanut allergy and you're always saying oh well we don't only you know this restaurant because they're all you know peanut allergy friendly you could do an entire blog about where the best places are for people with allergies to eat in the disney parks um don't be afraid to add extra chapters too when it helps the flow of your book so if you haven't blogged about something yet but you have three other blogs about that topic make that fourth blog into part of your e-book and then a marketing point there is you can market extra content not found on my blog already that's something that's always a good enticing thing when you're trying to actually sell a book because no one wants to buy a book of blogs that can already read on the internet but if you add in extra content that's fresh in the book that's a better sell then you write like I said before you can just copy your blog post as the e-book chapters people have done that before it does work but you want to always give your reader something of extra value because that shows you're invested in what you're giving is more than just trying to get another buck out of it um as I said before 20 to 30 pages don't try to write a novel you can even be as short as 10 pages if you're giving substantial information you don't just want words on paper you always want to enhance I always design a cover for my e-book because if you end up in someone like amazon marketplace on the kindle marketplace or um on iphones uh books uh newsstand and whatnot you have a cover and I'm sure all of you have seen like the 99 cent or the free ones that just have like text on white and or maybe some really bad graphic put a little thought into it you can even go on fiverr.com and say hey someone designed me an e-book cover I wrote a book about making soup stock so you know just a picture of a pot and some nice text and bam you're done um you can add images within the content to provide natural pauses and breaks so it's not just wall after wall of text especially if it's images that are from your own experiences so if you blog a lot about personal stuff use your own photos because not only do you not have to pay for stock images or worry about copyrights but that's also just giving a better connection to what you're doing adding video and e-books is possible will it actually animate no but you can do hyperlinks and qr codes that will link to your youtube videos that also drives traffic to your youtube page if you have a youtube page then you publish most e-book reading platforms love pdfs so does everyone's personal computer your cell phone pretty much any digital device can read a pdf so that is the easiest and stressless format that you can publish to if you want to get on i-books kindle or nook um you can learn how to format them just honestly just google it uh those are links that um I assume our slides are going to be available publicly so you'll be able to click through them but like i-books if you actually search apple's service database they'll tell you how to do it in their thing um nook is a little harder to find actual instructions on so but that's because they have their whole proprietary format and then marketing uh not to say that you really have to market your e-book you could just put it on your own site and say hey look if you like my blog you can read it all right here in this nice little neat book I would always start by offering your book for free we do that for our attorney clients where we say hey download our free guide to what to do after a car crash because that's giving their potential clients valuable information and then at the end it's basically a marketing ploy that says reach out to me for more information because this isn't actually legal advice this is more common sense advice and if you really want legal advice obviously I can't give it to you for free so call me schedule an appointment and we'll talk always write a blog post to announce your new e-book because the cycle of life blogs turn into e-books e-books turn into blogs and so on and so forth plus that's also something that people can pick up and re-sindicate for you so on and so forth um adding a widget to your homepage that shows off your awesome books is a great idea because it's always right there front and center I've got a free e-book so someone goes to your blog and they're like oh yeah she's a blogger oh she's got an e-book whoa we got it we got a publisher here you know we got an author um you can now promote yourself as an author because you have published an actual e-book and you can also distribute it using some great um wordpress plugins easy digital downloads is my personal favorite they make selling any kind of digital content whether it be a theme or um a pdf of instructions super easy they integrate with like everything I love them beyond your book you're now a published author people have downloaded your book presumably when they download your book you will ask them for like their name in their email address because that's just good practice when you're offering something as a download you now have their email addresses you can start an automation follow-up sequence with MailChimp or some other email platform but I love MailChimp because they have the cutest mascots and they sponsor word camps so yay um and I'm not affiliated with any of these companies by the way I just have love uh so automation uh if you are selling any kind of product like if you run a cooking blog and you have your own line of secret spice that you sell you can use that to say hey you downloaded my e-book on recipes for making soup stock so now buy my you know spice mix or whatever uh you can also start an automation sequence to let them know about new blog posts that you have or if you have a speaking engagement coming up at a word camp something like that um you also have the opportunity to just start a newsletter which would integrate them into getting your blog posts on a regular basis so some final thoughts um if you're looking to increase blog exposure definitely start out with the free e-book and then you can eventually put it up for sale once it gains some momentum um you can use your email list to your advantage for newsletters social networking etc but don't forget to include an opt out always you know you're selling them a product or giving them the free product and let them opt out because that's just good practice and release revised editions is necessary if you included statistics or whatever don't feel bad about putting out a version two when you have something new because then you're gaining a cult following uh so if you have any questions about e-books and whatnot find me out in the hallways I'll be here the rest of the weekend and I hope you have a great rest of the word camp


Hello friends, I am Sanjay Gupta. In this video, I am going to demonstrate you how you can use Caloc and free functions of dynamic memory location in C programming. Before starting, you can note my information. You can connect with me by following these details which are available in front of you. You can open my YouTube channel by typing my name Sanjay Gupta in YouTube search bar. My channel will be available there. You can open it. Here various programming related playlists are available. You can improve your programming skills by watching these videos which are available in this channel. You can follow my YouTube channel by subscribing my YouTube channel through the link which is available here in red color. Now I am going to demonstrate you the use of Caloc and free functions. So first time including two header files. First one is stdio.h and second one is stdlib.h. Now I am defining main function. Inside main function, I am declaring a pointer variable n and variable i. Now with the help of printf, I am going to display the message enter size of array. So I want to read multiple values. That's why I have mentioned this message. Now with the help of scanf, I am going to read that size from user. So scanf will read that size and the value will be stored inside n variable. Now with the help of caloc function, I am going to allocate dynamic memory. So this dynamic memory will be allocated at execution time. So you can see how I am implementing this. So this statement is responsible for dynamic memory allocation. So here I have used caloc function or you can say I have called caloc. Here two arguments are passed. First is n which will provide number of blocks and size of int means the size of each block which will be available in that memory and the allocated memory base address will be typecasted into integer pointer and that will be stored inside p pointer. Now with the help of p, I can access all the locations of the array which is allocated through caloc dynamically. So now I am going to print a message that is elements r. So this message will be displayed on console. Now I am just going to implement a for loop which will display all the values which are available at different locations allocated through caloc. So caloc function automatically fills zero value in each block of dynamically allocated memory. So I am just going to display those elements through printf. So for that purpose I am using this notation as to risk p plus i. So p is having base address. I have added i in that base address and that base address is the reference with the help of this asterisk sign. So the value which is available on a particular address will be displayed on console. Now after completion of this loop, I can call free function. So free function is used to deallocate dynamically allocated memory. And then at last I can call sorry at last I can write return zero. So this is the complete implementation of caloc and free functions. Now I can execute this code. So I am entering four as size of array. You can see the output. All the elements are printed as zero because caloc automatically fills zero at different locations which are allocated through it. So with the help of this for loop, I have displayed those blocks and with the help of free, those dynamic blocks will be automatically freed so that they can be used by another application which is currently being executed in your computer. Now I am going to read values from user and then I am going to display those values with the help of a loop. So I am copying these statements and I am pasting them here. So now after dynamic memory location, I am going to read n numbers from user and then those n elements will be displayed from sorry those n elements will be displayed on console. So this message enter elements will be displayed on console. Loop will repeat n times then in place of printf I have to use scanf and I just have to pass addresses of each location. That's why I have removed asterisk sign. So this block is responsible for reading part and this block is responsible for printing part. So this way after dynamic memory location, I can read elements from user and I can display those elements back on console. Now I am executing this code. You can see it is asking for size. I am entering four. So I have to enter four elements. So I am entering one, two, three, four. You can see the output. It is showing four elements which is entered by me as output. So this way I have demonstrated you how you can use calop and free functions in C programming which are available for dynamic memory allocation and for dynamic memory deallocation. So I hope you have understood how you can use these functions for dynamic memory allocation. If you want to watch more programming related videos, you can follow or subscribe my youtube channel through the url youtube.com slash sanjay gupta underscore tech school. You can download my programming app Techimace which is available on google play. Thank you for watching this video.


So I'm going to read a few books or a few poems from my book and then a few newish ones. I'm glad to have my book because that means I'm less of a mess now when I come to things. I have all my poems with me. So I'm going to start with this one called Island's Daughter. I know the land only as my fingertips trace it, dotted roads puttering through Tuna Puna, town of my father's birth rests between market tents, white and puffy, drawn like parachutes, just landed on this map of Trinidad. I wish this map would show the highest tree my father climbed as a boy, let me ascend and meet the dare his small feet left there, and recover the prints he resolved to leave behind. I should know all he knows, I say, while his distance disagrees. Let my feet unveil what he won't reveal to me. I wish this map would show the food my father devoured. I could walk the whole of this island for the good palau, the bake, the roti. These meals melt from mountain sides and I don't know where they grow. Can I ever taste their salty steam wafting from my own stovetop if I don't know where they grow? I wish this map would show where the queer girls go. In places of pretending those girls don't exist, they hold each other somewhere, perhaps in plain sight. Perhaps they are the intertwined vines slipping through the seams of buildings as I reach for a stem firm fingers grasp my hand. I wish this map would show home. Show me why my throat sings a distorted distant echo of Calypso, why Trinidad's mosquitoes inflate me trying to resuscitate my dry, dulled skin, why guidebooks detail trails for tourists but no passages to revival for the island's daughters. This is not a map for finding myself, no. But I know where I am not. There are no lines drawn by hand. There are no parachutes to carry me gently home. This one's called what I meant to say. I made her a promise I couldn't keep. Knowing that didn't stop me from trying, stumbling over every forever before falling to rest with my head between her breasts. Maybe all I meant to say was, I feel comfortable here right now, but it came out sounding like a vow. Our first time was my first time taking a woman's virginity, though I didn't know it until she hummed something like, I've never done that before. And I said, huh? When I meant to say what the fuck? When she said, wow, I'm not a virgin anymore. I said it again, huh? When I meant to say what in the actual fuck? I should have known when she was digging through me like my pussy was a thrift store sale bin. I should have known when she stopped and gasped. I can't find your clit, though I didn't know she was trying. Or when she cooed, I see love in your eyes or maybe I've made love to your thighs. I wish I'd known before I tossed her around like a swear word empty of its meaning. Hardly scandalous enough to bring satisfaction as it clicks off the tongue. If I'd known, I might have recalled that promise I made to myself. Never to do a virgin the way somebody once did me. Here's one more from the book. This is Woman Who Love. I learned to love a woman here. By hearing the beat of my heart find the echo of water drumming in the ground beneath us. There is a balance here. Every ebb has its flow, every sunrise, a sunset. So if I love a woman till our world tilts on its side we won't be tilting long till the earth brings us back to center. I learned to love a woman by moving toward her. Inside my muscles are memories of the woman who carried me and she who carried her and the one who carried her from their blood floods the rhythm of my walk. I learned to love a woman by looking in the mirror and there I saw her, her body and mind reflecting my own, her gaze never veering from my eyes. I learned to love a woman by changing my fist from the shape of a grenade to the shape, the size, the pulse of a beating heart. A beat for every time my anger meets silence. A beat for every wall I wish to knock down. I wanted to fight fear without losing what I've learned from it so I learned to love a woman. If we hurt each other here they will only be pains of the growing kind. We hold each other like the soil hugging out our ever unfolding roots. Two women who love, that's called a revolution. Our bodies turning till we face something new till our shapes are all new and everything we touch is a blaze with hot clay of unset stone. There is a balance here. So each time I lose I learn to love and each time I love I learn to see the light of fire and every footprint behind me. I'm going to read a few more and this one's called What Do I Mean by Queer?  I heard that once and I tucked it so deep under my tongue that now I can't identify myself without cussing you out and I'm almost sorry for that.  Because it's not all about sex but if you're getting something out of demanding an explanation from me you best believe I'm getting off first.  Some of it's about how I leaned through the world knowing nobody had me in mind when they came up with our society's design. And queer as in I must have cut school straight through anatomy lessons because other people seem to know so clearly which parts belong on which bodies and whose bodies belong on whose bodies and meanwhile I'm just trying to be somebody, sidling up to somebody and I forget to check if their parts fit with mine. Queer as in no parts fit quite perfectly with mine. No body parts or parts of the globe or parts of speech in this language we speak. Queer as in I make up my own words. Come wrap your lips around them to see what I see. Thanks. So I've been writing a lot about cultural appropriation which people aren't happy about. I've been accused of like white genocide which was new. So I wrote a poem about it. This is preparation for nose appropriation. When white celebrities decide my nose is cool I'll spot its shape in the glossy pages of fashion magazines, nose jobs working their way from thin to thick and I'll wonder if they'll ever know how I grew up wishing for a nose with a body that could be born from Europe.   I already knew I was stuck in my skin but I'd learned that bodies can change that sometimes someone can say you're like a white girl in a black girl's skin and that is supposed to be a compliment. When white girls decide my nose is cool I won't be any closer to beauty.   And on the inevitable day when white girls decide that the era of the in vogue wide nose is over I'll return to the mirror thick and dark and natural as shifting earth, body and face always changing but never changed from what they were born to be. And I'm just going to read one more. This one's for Sandra Bland. It's rules for the body of a black woman. Don't let my body be anything else but womanly. This is my responsibility on this earth, my obligation in this nation where a womanly body doesn't prepare for war. Guess I'm hands up and surrender to this war I was born into just by virtue of birth into a lineage of dark goddess warriors. So don't let my body be too aggressive. In surrender there's all kinds of too aggressive. Heart beat too fast. Hands reach too quickly for the white flag I keep in my purse. Mouth too quick to say something easily read as a threat seeing as dark lips are involved. Don't let my body be too brave. May there always be a tremble, always a gulp. May the presence of authority send me cowering back to a history where nobody needed handcuffs or jail cells to keep me captive. Even Brie Newsom, brave as she is, thought you never know who might walk by as she clutched the top of the Confederate flagpole. Could have been someone wearing the very flag she was tearing down. Could have been someone holding a gun, someone who'd want nothing more than to see her body hanging. And she could have let that stop her if she hadn't been too brave. Don't let my body be too soft. Without some sliver of resistance left where would a night stick find satisfaction in the skin it strikes when it beats into me? Don't let my body be too shapely not like Bessie Smith, not like Josephine Baker, not like Misty Copeland, the first of us at the top of the American Ballet Theatre where she's forgotten the ballet code more important than pointing your toes. The one that says a body with curves that stretch a leotard film then takes up too much space, even on the biggest stage. But don't let my body be too thin.  You need something to hold on to, don't you? Even with my fingers full only when I'm feeding another body, tell me again how I'm only somebody if I'm somebody's mama or I'm mammy to another body's babies. Don't let my body be beastly. I'll continuously straighten up into civilization or else I'll revert to some uncultured vision of victory in nature of all wretched things. Or I'll also have a body like Serena Williams, championed arms unstoppable in battle and flexing the muscles to prove it. Don't let my body prove anything but dedication to the promise that I am womanly. Don't let my body be graceless. Make my body arouse other bodies, but don't let my body touch too many other bodies and don't let my body be mine, never mine. Let it be a white woman's doll, let it be a white man's pleasure, let it be yours. But don't let it be good enough or you'll have to call it something else. Call it savage, call it insane, call it devoid of spirit or just a body, already just a body even before I'm dead. Let my body be an animated corpse, my life only just an imagination, my imagination as the lone instrument with the audacity to speak as if I am alive. If I die in police custody, I did not hang myself.   Don't let my body get tired. With all the burden these contradictions create, I'm bound to get tired, but once I've surrendered my body for dragging through this bullet-ridden bone-breaking concrete sea, tired's just another word for beaten. And like the nightsticks find, my body's still got some resistance in me. Thank you.


Today, we're here speaking to Jason Tower, the Country Director for the United States Institute of Peace, Myanmar program. Welcome, Jason. Thank you for coming today. Thanks for having me on, Andrew. We're here to talk about your extensive work in uncovering the transnational crime networks emanating from Southeast Asia. More and more, we're hearing about how these are security threats in the region. Can you please explain how these transnational criminal networks are operating in Southeast Asia? Yeah, we've particularly seen since the pandemic and since the military coup in Myanmar that we're facing a global security crisis generated by the influence and presence of these criminal groups across Southeast Asia, but first and foremost in Myanmar where conditions created by the coup and the complete destruction of the country's police force, the country's civil society and media, other types of factors that would have otherwise made this society resilient to incursions from transnational crime have been almost completely eliminated. So what we've seen happen since the pandemic is that transnational criminal networks, largely relocating out of the People's Republic of China, have built a web of influence across the region with countries like Cambodia, Myanmar being hit the hardest, but also with these networks having tentacles in the Philippines, Malaysia, Thailand, Laos and several other countries in the region. During the pandemic, when China locked down, you saw a pretty dramatic shift away from the Chinese market and away from casino-based crimes to just outright fraud and scams. And what was particularly worrisome was a trend towards the use of forced labor in these different types of scams that are now being perpetrated across the region, but especially in Myanmar. You have these structures that have been created that look very much like penal colonies on the outside. And effectively what happens is that criminal actors put out fraudulent advertisements on social media, sometimes even setting up fraudulent recruitment companies, employment companies, and they'll target a global population. People will be applying for what they think is a tech job or maybe a service industry job will fly into a place like Thailand, which is one of the common transit countries, and then they'll be trafficked across the border into Myanmar, really never to be heard from again once they've been brought into one of these penal colony-style criminal enclaves where scams are being perpetrated. Using some very technologically advanced types of fraud that often involve what is known as pig butchering, which is a type of criminal activity which involves, really it starts with someone reaching out to a victim on WhatsApp, maybe just sending along a message, hi, how are you? The individual receives the message, maybe they'll click to try to figure out who it is that's messaging them and they'll see a picture of an attractive looking person potentially of the opposite gender. And then from there over a course of months, usually the perpetrator, who often is also a victim because again this is forced labor, will build a romantic relationship or a deep relationship of trust with the victim. Once that relationship is established, there will be an effort to introduce some type of investment opportunity. And usually the victims at that point will begin putting funds in and they'll see returns. The platforms will show returns, often the perpetrators will even transfer small amounts of money to the victims to sort of build that trust further.  And it's usually once the perpetrator has more or less detected that the victim is fully in for all they're able to put in in terms of their assets into that investment opportunity that they'll slaughter the pig, they'll take the platform offline and they'll escape inflicting both financial but also emotional damage on the victim. This is happening already to the tune of several billion U.S. dollars here in the United States but it's happening around the world. And you've spoken about how many Chinese people and Chinese population have been victim and originally were the main targets but it's grown. Are there any other connections to the Chinese government or to other Chinese informal institutions that can be traced to both the criminals themselves and the response that may or may not be happening? I think what's fascinating about this is that the criminal actors themselves are largely from China. The term pig butchering actually is from the Chinese, Sazupan, it originated in China, it was perfected in China. But a lot of the criminal networks were chased out of China by Chinese police. And I think where you're seeing some very interesting dynamics at play is that they're getting deeply intertwined with overseas Chinese networks, with the Chinese Communist Party's United Front, with overseas Chinese associations, with affiliations to either the party or government. There's deep ties there between a lot of these criminal networks and those many different organizations because these networks are in many ways poly-criminal. They operate in kind of an illicit area more broadly, building tremendous influence with political elites across Southeast Asia. And so often when the Chinese government is approaching different political issues, it will turn to the overseas Chinese community for support. And some of the key influencers there actually are affiliated with these criminal networks. Many of the victims have also been Chinese and China has seen massive amounts of capital outflow as a result of many of these scams. And so you have seen the Chinese government try to crack down to some extent. But the focus of the crackdown has really been more on the lower-level aspects of the industry, not on the higher-level players. And so you'll see where China has put in place stronger and stronger banking restrictions to prevent financial flows from Southeast Asia. It's gone after some of the money mules, often who are even older people who've been tricked into opening up a large number of bank accounts and then selling those bank accounts onto criminal actors who will help move money, right? So the Chinese response has really focused on the lowest level of some of the players involved in what is a massive industrial-scale criminal operation. Your day-to-day work for a long time has been on and in Myanmar. How has the coup in 2021 and the ensuing crisis and conflict and ongoing conflict, how has that, if it has exacerbated this problem and played into this problem of the transnational criminal networks? Yeah, in a major way, because prior to the coup, this trend of these transnational criminal actors co-opting elites across the region, this has been going on for now roughly two decades. It's not new, but what was new for Myanmar is that criminal actors were targeting more and more geographical spaces across the country, right? A lot of the earlier networks focused on the China-Myanmar border, but more recently, around 2017, criminals really focused on the Thai-Myanmar border area. And that was something new and something that I think the National League for Democracy government at the time was very concerned about. And so you saw the NLD after some of these criminal networks created this Shui Koko Yatai New City illicit gambling zone on the Thai-Myanmar borderland in cooperation with, interestingly, Chinese state-owned enterprises. You saw the NLD begin some investigation, trying to find out what exactly was going on there. Was this a BRI project or was this something else? And as they dug deeper, they started to discover that actually this was an enclave that by design was being created to house illicit gambling and scam operations. And so because of a lot of the propaganda around it, because of the fact that the Chinese government and many government agencies had been co-opted into signing ceremonies around the project, have been co-opted into some of the public narratives around the project, the NLD had to take some pretty considerable risks in approaching China about this. But they did do that. They approached China. They pushed back a bit. And in the end, the Chinese government came out and it publicly acknowledged that this was not a part of its BRI, disassociated with the project, and it pledged to help the NLD crack down. And after that happened, you saw the NLD turn around and begin to put pressure on the Myanmar army, because the Myanmar army was actually the main actor involved in encouraging this type of investment. It was the border guard force of the Myanmar army, the Karan border guard force unit that was set up by the army in 2009 that initiated this in partnership with the criminal networks. And so because the NLD put all this pressure on the military and had China also putting some pressure, public pressure there. You saw an effective crackdown. The city was effectively taken offline in December of 2020, just a couple of months before the coup. After the coup and after the military started going about the process of systematically dismantling the NLD government and prisoning its leadership, going and crushing civil society and a lot of the other actors that were working along with the NLD to try to crack down on this criminal activity. You saw that enclave reopen and you saw many copycats start to really scale up their operations in this space. So many more scam syndicates and criminal networks following the coup have come in and you no longer really have any major elements in Myanmar that are willing to do anything about this problem. Quite to the contrary, the military and its border guard forces are some of the key beneficiaries of the activity. Well, that leads me right to my next question. I mean, you've talked about how this sort of was a concentrated crime and it was mostly targeting the Chinese and then sort of the region, but now it's a global threat. How does the U.S. implicated? I mean, what does this mean for the U.S. national security? You saw in May of this year that the FBI put out a warning, warning Americans of the risks of being trafficked through employment fraud, these forms of fake job advertisements. This is going to impact I think a lot of job seekers moving forward because there's just less certainty now around jobs overseas and how to ensure that the jobs are legitimate. So there's I think some very serious security threats here. Interpol has also released a warning, it's a global warning, which warns of the threat of this form of trafficking. And in the warning, the language that's used to describe the threat is that basically anyone anywhere can now be a target of human trafficking. What should be done going forward to help both by the U.S. and our partners? I think one of the key needs is for the U.S. to begin asserting more leadership around the world on dealing with this, given that it is something that's impacting U.S. security, impacting U.S. nationals. Plus it's impacting people from many of our partner countries and from people from countries that we have alliances with. So I think that there's ways to build on U.S. partnerships to begin putting more resources and effort into having a coordinated crackdown, which could really focus on the Southeast Asia region because I think that that's the epicenter of this. Dealing with the problem in Myanmar is going to be extremely difficult because of the fact that you have this ongoing crisis generated by the Myanmar army, which is one of the key beneficiaries of this behavior. But I think within other parts of the region, the U.S. could be working with countries in the Mekong region, countries across ASEAN at strengthening governance, closing some of the governance gaps in the banking sector, closing some of the gaps in terms of how criminals are able to access fintech or deploy fintech to move money around. I think there's a lot that could be done with U.S. leadership on strengthening governance and in closing off the ability of these criminal networks to continue advancing this form of activity and impunity. Thank you, Jason. Thank you for all the work you've been doing in your team on uncovering these issues and we look forward to your continued analysis. And thank you for being with us today. Yeah, thanks so much. Thanks so much for having me.