And welcome back to the Think Tech Hawaii Studio. We've got an exciting episode of Security Matters for you today. Brian Kraus is with me from Dragon Fruit AI. AI in our industry is making a big impact. We're going to get into some of that technology today. We'll talk about specifically, I think, the delivery of the execution delivery that Dragon Fruit has is a little unique. Hopefully, we'll get into some of that. But first, let's meet Brian. Brian, thanks for taking the time to join me today. I think you're coming in from somewhere in the East Coast. I am. Thank you, Andrew. Great to be here. Very excited to talk with you today. I'm coming to you from the other end of the world, so to speak, up in Boston. All right on, Boston. Yeah, my buddy, Sal D'Agostino, I don't know if you run into him, crepes around the industry or not, but he's out of Boston. I've got to get up there and visit with you guys soon as soon as we can all travel again. Well, let's get into kind of your history with the industry. You know, I know we don't all give it away on social media these days, right, because you never know who's hunting you down. But, you know, as much as you'd like to share with our audience about your history and kind of how you developed in the industry and then sort of ended up with Dragon Fruit today. Sure, yeah. So my my history, I mean, I don't want to date myself too much, but I've been in the gray hair does that by itself. But I've been in the industry for, you know, in technology more broadly for about 20 years, more specifically in, you know, more software and technology geared towards the physical security world for about the last 10 or 11 years. I've always been drawn to sort of the new technologies, how to take existing investments in existing technology to the next level to do more and push the boundaries a little bit. So, you know, that being said, I've spent the last several years in the field of artificial intelligence, as it's called in the industry. Before that, I was in software defined storage for video surveillance, which was sort of cutting edge. And even before that, you know, in the in the camera manufacturer space and a mobile security startup as well. So I've had a good diverse experience in software, hardware, as well as, you know, analytics and some of the advanced tech. So it's been a really, really educational and an exciting run. Yeah, it's nice to have that sort of broad perspective and watch it over time. And then, you know, if you if you have a pension for the getting out on the edge a little bit, then, of course, AI shows up, which I think is truly finally starting to change our industry. I noticed that in your history, you had you had an MBA and you also studied to work in, I think, in finance or capital management. Having that business lens on on our industry and on the companies that you've worked with, for me, brings a different perspective. I end up talking to so many industry types that are sort of law enforcement or or a guard background or or even military background. You know, some advanced stuff comes out of the DOD, obviously, those folks. But the business folks tend to be in the in sometimes in the back room, right, the CFO types, and they'll get out. You don't meet them at the shows very often. What's your perspective on how we sort of how we sort of manage investment and money, you know, in our industry to develop things like AI and move the technologies forward that help our customers? Yeah, well, I think the most important thing and what's helped me the most and I spent the early, early days of my career in finance and investment management, I think the most important thing is to help end users and stakeholders in the physical security world understand the impact of the business that the technology has, not necessarily just how it solves for this specific use case within their environment, but how it impacts the business and how it could potentially impact the business more broadly that maybe they haven't thought about and instead of looking at security as a cost center, like traditionally, it always has helping customers to really understand how security can potentially be, you know, a revenue center or an enablement center for the business instead of just a cost center. I think that's been a big part of my success leveraging some of that background that I've had. Yeah, and I think it's not necessarily unique, but that voice doesn't get introduced often enough and early enough in sort of a solution conversation with a client.  And it looks like a cost center. It looks like an insurance policy or whatever. Maybe at that spend, spend, spend instead of that investment, how do we improve the business? And I definitely want to get in in a little bit to how I think that some of these artificial intelligence technologies are going to be able to do that and how they're doing it already for customers. And I think we've improved what I call it, not a hollow approach, but we had algorithms for years, which I'm sure you saw that work some of the time, some of the environments that you recently performed, but a lot of false positives and a lot of problems with some of that technology mostly being deployed improperly in my estimation, right, you know, but the evolution of technology where do you think we are with what you've seen? I know you came from some other AI companies prior. How do you think it's evolving? You know, we've been through the sort of machine learning piece. We've got these convolutional networks of which I have no real expertise, but it's evolving. I hear AI thrown around a lot, which to me was always sort of like machine teaching machines, and I don't know if we're really there yet, but what's your take on the technology and the buildout of it and sort of where we're at and where we're going? Yeah, it's a really good topic, you know, one that we could probably consume a whole show on. But I think generally speaking, I think we're still in the very early days. OK, good. You know, we're at that phase where there's a lot of investment coming into the space where you see a lot of people trying to develop solutions, you know, for different things.  So it's a very crowded space. Overall, I think that's good for the industry. I think it helps to broaden the category. It helps to broaden the awareness and get customers looking and introduced to the technology. And I think what we'll see over the next couple of years is really that consolidation start to happen. Both from a provider perspective where, you know, quality will rise to the top. You'll start to see market share taken by companies that can deliver, you know, algorithms that work in environments that already exist that don't require a lot of, you know, incremental investment to make it work. And so I think you'll also see from a technology perspective, a little bit of evolution in a sense that, OK, now we've validated the use cases in sort of the return on investment for analytics. And the next big question is where can we deliver them from? So, you know, big talk in the industry is, you know, edge core cloud and where that compute comes from. And there's a lot of work going on at the camera makers, chip makers, the cloud providers, so on and so forth. So I think we're at a very interesting place for five years from now. It's going to be a completely different industry. Analytics won't even be a topic. It'll be it'll be table stakes, so to speak, for pretty much every system out there. It'll be done differently for different different folks. But I think you'll start to see that consolidation over the next couple of years. And some of those some of those decisions being made that road map being played out. That's awesome. Yeah, we'll have that. That it's like a you won't even ask if it's there. You'll assume that these sort of features are baked in. I from my perspective, I don't recall a lot of this work or exposure. And we've had Intel show up interesting. You'll catch the hands of sort of leading that charge around the industry in the last few years. And it seems like with Intel came a lot of this work. What's your sort of take on that? I love it that they're here. I mean, we need big name like that to help our industry, you know, breach this technology gap. I just don't remember anyone else with that sort of name playing with us all these years. Yeah, yeah, yeah. Well, well, Intel is, I mean, a pioneer in the space and they've certainly helped to move things along probably more than anybody. Other names, you know, of course, like Amber Ella and NVIDIA knows folks have, of course, invested heavily and seen great returns on some of their products as well. But yeah, we need we need those folks to keep innovating, of course, because, you know, this space, you're talking about massive computational algorithms that require a lot of processing, a lot of compute and the question becomes, you know, where can we perform that compute and the smaller we can make it and the faster we can make it and the more efficient we can make it, we can put it in different places like on a camera and not have to have a server at all or in the cloud. So a lot of those things are, you know, heavy investments from the processing, the chip makers and so on and so forth. And it's really, really great for the industry. And I think, again, that that's going to lead to a lot of change over the next few years, for sure. From what you've seen on the development side, do you think I've talked to some folks about this? Do you think we'll be able to take a scenario? Let's just say we've got a camera watching a room and there's 10 people in it and we're just doing facial recognition. So the camera can handle that compute. Now, let's say the room gets 50 more people and all of a sudden that compute needs to move to a device, maybe on-prem. And now let's say there's a thousand people in the room and we've got to get that up to the cloud to process it. Is that something we're going to be able to do dynamically? Maybe in the near future, you know, where the where the app is smart up to go, ooh, I can't handle this on the camera. I've got to move where it just happens for seamlessly and does the workload. It depends on your definition of near future. I don't think it's near future. So OK, we can certainly do face detection on a camera today. There's, you know, several providers that can do that. The challenge becomes when you want to take what has been captured, right? So I've identified the face as a face. I don't know who it is yet or if it matches anybody in my database. But I've identified that there is a face here. It's gone from fifty to a thousand, as you mentioned. But now I have to actually perform that one to end comparison of what I have in my database. Do I know this person? That's the challenging piece right now that really can't be performed on the camera. And so you'll kind of, at least for that near future, again, depending on what you call near future, that will probably reside either on-prem and a server at the data center or in a cloud environment where we can perform that one to end or end to end comparison. Yeah. And it's that scaling piece I'm interested in. You know, it's you really want to be able to drop the box out there, the device, the sensor, let's call it and let it do its job, regardless of the capacity that it's faced with, right? And it's processing a thousand license plates an hour, but what if it becomes a hundred thousand license plates an hour? Like, I don't know if our traffic's that bad here, but it can be. You know, so I just don't know. I think that some of that that back end work will need to be done for. You know, all the other works getting done and it seems like pure magic, you know, to a lot of people. So the scalability of it's that next piece to be able to leverage the cloud when needed, you know, and I've been looking for somebody to go, yeah, we're doing that. But no one said that, you know, at least on camera. So we'll wait for that day. Yeah, you do with the data, right? I mean, just kind of scanning the scanning the street for license plates is is a very discreet function. Logging those license plates, comparing those license plates to databases that exist somewhere else and creating alerts and so on. That's obviously additional discreet functionality that has to live somewhere and perform somewhere. And that's where you get into the challenge of, you know, what is it you want to do with the data and how much of it can I do just out here by itself versus I need some more CPU to help it? Yeah, that's the way you try to do. You think, well, that is the investment going to be quick enough out at at the edge, you think, in these in the chipsets and the memory and the capacity that's out there? Or is it is there going to be is there a kind of a limit that's like, yeah, we're we're a ways away from, you know, that investment doesn't make enough sense yet. So let's keep it back in the box or in the cloud. Yeah, that's also a great topic. And I think that's one that the industry and customers need to be aware of. You know, I think we're at a very early stage of being able to run, you know, AI on the camera. We've got some initial chipsets that are out there from, you know, the accesses of the world, the bosses of the world's great stuff. But it's really not super advanced computing that they're doing. Right. We can do some general analytics and it's very valuable. But I think what it's creating now is sort of this excitement in the customer base that all I can just do everything on the camera. And then like we talked about here, you sort of have to have that discussion of well, yes, I can do maybe like indexing, but I can't really do anything with the data without, you know, some companion compute somewhere else. So it's great in a sense that it's, it's, you know, they're sort of pushing the envelope and creating all that awareness of what is possible. But for now, probably for the next few years, we're still going to have to bridge that gap to really provide a useful, you know, high utility, you know, product for the customer. Yeah, I love that that there's there's where it's nation. I love that we that we can talk about that being there and educate the clients in that way. We, it goes quick. So we're about halfway through. We're going to take a one minute break. We're going to pay some bills and we're going to be right back with dragon fruit and Brian Krause. Stick around. Welcome back to security matters. We're in the think tech Hawaii studio today and Brian Krause is with us remotely from Boston, Massachusetts, and we're talking dragon fruit AI. We've been past Brian's bio, so you'll have to go back and watch the recording to catch up with us there. I want to get into this technology. Dragon fruit AI. First of all, when did you guys launch? How long have you been around? Yeah, the company's been around for about a couple of years now. You know, like, like many companies, we spent the first year or so building, you know, version one of the product and now we're sort of in that commercial stage where we started launching commercially last year. And now we're in sort of iteration phase refining and adding to the product based on customer feedback is very exciting. That's awesome. Yeah, I went to them, the use cases, like a module graph, which was really important to me. I was like, wow, here's, here's a great way to look at a vertical market and say, here's the things that are work. And I'm presuming those sort of came from customer requests or, or something like that. And, you know, most people develop where the need is. Um, and I thought, wow, now this is awesome. But I saw that some of the deliverables are even by the hour. So I want to, I want to get to the deliverable, but I'd like to talk a little bit about the execution piece when you, when you're building this. So you have to either train or teach an algorithm to learn or, or AI to learn something about an environment. And my understanding is that's done sort of en masse. But then when you get down to the customer site, you have to to refine that a little bit. Is that still the approach or is that, is that different from the approach dragon for each taking? Uh, it's a great question. So just to kind of clarify, um, so there's, there's machine learning and then there's deep learning. Um, deep learning obviously is a subset of machine learning. Um, and, and what, what we and what most analytic providers do is we're, we're not using the customer's data to train our, our network. Okay. Um, so when we deploy, you get the latest, greatest version of our algorithms and obviously being cod based, we're pushing those down, uh, you know, into a production environment, you know, to push up a button. Uh, which is fantastic. Um, but we're not, we're not refining our models based on your employees behaviors or anything like that. Got you. Elsewhere. Um, so there's, there's no deep learning going on from the customer, customer video, uh, but they are getting the latest and greatest algorithms every time they log in. This is one of the benefits of, you know, being a SaaS provider. And, and that algorithm is continually improved from the learning it's doing in real world environments, I'm guessing. So it's constantly improving. Yeah. The algorithms are always tested and improved on, you know, based on data sets, right? So we develop an algorithm and then just continue to, uh, feed it more for lack of a better term, um, just refine those software algorithms to become more crisp, um, and being able to make decisions based on the type of data that we see from physical security networks so that they can make the decisions that they need to make. Um, it's not always perfect, as you know, in a security environment, the, the images that we get and some of the data we get. So you really have to have sharp models that are constantly trained up. Sure. That's awesome. Um, I was looking at just the, the use case module there. And so, and there's, I see a lot in retail and then obviously law enforcement work, venue work, um, smart and state cities, which I think has got a lot of use case stuff. All the folks in New Orleans are, are using this stuff, taking cities, surveillance cameras that are, so we're sort of placed for security, but able to alert on flooding. For example, uh, my teachers look for flooding in certain areas of the city, things like that, and alert people to go, I guess, turn on the pumps or whatever they need. They got water problems there.  I know retail has been big for everybody. Is that sort of where you got started or was it something else? Um, it is one of our early verticals. I think, you know, with our product, we really, um, we really focus on, uh, two key areas. One is what we call occupancy management, um, which is, which is all the analytics that relate to the operations of physical space. So, you know, I want to have a better understanding. I want to drive intelligence out of what's happening in my store, in my casino, in my business, on my manufacturing floor, et cetera. Um, so we, we've got a whole suite of analytics that are designed just for that. Um, and then the other half of our business really is, um, in the post video review, which is huge towards law enforcement, um, security heavy users, which is I've got an incident, um, I've got tons of video that I have to pour through and I need a faster, more efficient way to do that because particularly in the last 12 or 15 months with COVID, um, we are now in do more with less on steroids. Um, and so everybody is looking for tools of efficiency. So early on, those are the real two key areas. Of, you know, is my space being utilized? Do I really need this space? How do I optimize this investment in physical space? And then how do I automate processes of speeding things up when something happened? Um, those are the generally the two broad areas that we've, we've got out early on. And are the consumers, so when that, if you cross those, obviously the investigation guys are typically probably operators, law enforcement operators, or, um, I can understand the investigative types, you know, from an inside of a corporate, you know, Fortune 500 firm, whatever it may be, um, what about the occupancy types?  Um, is that kind of stuff happening like in the real estate industry, or, or what, what do you kind of see in that occupancy peak? Absolutely. Absolutely. Yeah. You know, it's, we definitely learned a lot in that space when it comes to corporate real estate. And, and one of the most interesting things is that some of the states actually tax these corporations based on how much their space is actually used. Wow. Okay.  And we've saved, you know, two, three, four million dollars in single years. Wow. So it's, it's very powerful and, and, you know, obviously with, with COVID and everything else going on in the world, obviously everybody is looking at occupancy. You know, some folks are still doing it. I mean, in retail, you know, I was at, I was at a store this past weekend and I'm still seeing people with an iPad at the front door doing one in one out, like, like at the bar, you know, when you're in college. And to me, it's, it's, it's a little bit crazy that we're still doing that manually when, when I look up and I see a camera right above the person. And I said, you know, I say, you know, that person can go to work and do their job and we could automate that entire process tomorrow. Yeah. And, and so we're seeing a lot of focus on, on that. It really speaks to, again, sort of more broadly, like to do more with last, but we've got a lot of groups within companies, like take retail, for example, where lost prevention, where they never had to worry about any of this stuff. Um, you know, they were focused on shrinkage and the tools and the processes to stop shrinkage. Now they have to worry about social distancing, mass compliance, occupancy of the stores, et cetera. And so at the same time, the team is the half the size it used to be, right? Because top line revenues. So you really are put in a corner to find solutions that can automate and offload a lot of the work that used to be manual, some of which is new. And that's exactly where we live, which is, you know, if you're faced with these types of challenges, let's take a look and see if we can, we can automate a lot of that stuff. So you don't have to, you don't have to put a drag on the team and, um, and not be able to accomplish it. Yeah. Like the one in one out, I think we solved that for parking a lot of years ago, right? You show up and there's a sign. There's 300 empty stalls. You're good to go. I think they have that in my hospital now. So like to not solve it for people, especially now. Well, I mean, we've solved it if people haven't deployed it, but let's talk about the deployment a little bit. So folks engage, I saw that you had, you had, um, you actually offer certain, um, uh, algorithms or analytics for like by the hour and things like that. I thought it was amazing. So, um, talk, talk about the delivery model and how people can engage, um, you know, with dragon fruit and take advantage of some of the technology. Yeah. Our delivery model is one of our biggest differentiators. So, you know, I, I, we came here and started this company to kind of democratize AI, if you will. And when you look at the, the landscape of traditional physical security analytics, it's largely software license base, license, the camera, um, and for customers that have 5,000 cameras, it's, it's a non-starter, um, because I, you know, we just, we can't afford to put a software license on every camera and then put a huge compute environment in place. So what we do is, you know, we have a very flexible modular driven platform that says, if you just want to do people counting at the front door of your store, um, on that one camera in your 50 locations, then that's all you need to purchase and that's all you need to consume.  And if COVID goes away and you no longer have to worry about occupancy, you can sunset that functionality and use some other capabilities in the platform. And it's, you know, very tight to your return on investment model. You know, you don't have to over subscribe or over invest into a big system and use 10% of it, right? It's similar to like what's going on the consumer side where, you know, you have the cable bundle versus the streaming choice. You know, I want to get rid of my cable bundle because I don't need to pay all that because I don't use it. I don't watch it. And I can get by with Netflix and Hulu and maybe, you know, one or two other things and save myself 50% per month. That's the model can be applied to enterprise when it comes to analytics, which is we can right size exactly what you're trying to do with the software. And we can, and it can move over time if you have to. And that's very exciting to be able to bring to the market. It's a big differentiator. It gets us a lot of conversation. Yeah, I think it's super important. It's kind of like, you know, the way Microsoft bundles 0365, right? You can turn it on. You can turn it off. Those may be monthly, you know, for a company, but like in the government space, that's not, you got to buy about a year, which is still like a real problem for my government network, in my opinion. So I love the right sizing. I love that, that delivery, like that kind of use it as you go, consume it as you need. You could spin it up for an event in a certain area for, you know, as long as the cameras are there, right? Which is super flexible. What's the sort of, for the customers, we only got a couple of minute stuff, for your, for your customers, how's that engaging? Is it remote for them? They got to pick up a phone. Do they turn this on themselves and then turn it back off themselves? How's that work? Yeah, so we do have a free trial on our site.  So if you're watching this after the end of April, it might be different location on the site, but it'll stay try for free. And you can sign up and we put some demo content in there, and you can, you can add some videos from your own environment to see how the AI works. But if you're, if you're looking to do something a little more complex than that, I guess, you know, in an enterprise space, you want to, you want to work with us and we have engineers that can support you in through testing and evaluation. You know, you can reach out to us at any time. I'm at Brian at dragonfruit.ai. And, you know, we have info at dragonfruit.ai. We've got the Black Channel in support on the pre-trial. So if you need to get all of us, it shouldn't be too difficult. But we've got a number of ways to engage with us and we're happy to work with, you know, any customer on what they're trying to solve and try to help them look at our technology to do it. I love this, Brian. Thank you so much. Hey, out there in the world, if you want to get engaged with some AI, it doesn't get a whole lot simpler than what dragonfruit is bringing to you. Take it for a test drive, dragonfruit.ai, or get Brian a call, get engaged because this is the world as we know it sooner than we know it, I think. Brian, thanks again so much for joining me today. Have a great rest of your week. Aloha, everybody. Take care out there. Thanks, Andrew.


U.S.C. running back Marshawn Lloyd, what have you felt like your first couple days out here have been like? It's been really good. Being able to compete against everyone, having the opportunity just to be out here. The best athletes are here right now so it's just good to be able to compete against them. Is that why you chose to come to the senior bow? Yes, the best of the best come to the senior bow and if you're not here then it's just it just shows exactly what type of player you are. I mean just this is the best play the best place to be during this time is to be able to showcase your talents in front of the like an early showcase of your talents to all the different scouts and everything. So I just like it's the best place to be at this time. Why is your contact balance so good as a running back? Honestly I don't it's just just how I'm built just the way I've always been and it's I'm actually lucky being able to be a running back you need a good balance so having that is super cool. You played at South Carolina you played at USC how much does it help you now as you enter the pro ranks that you've done it a couple of different ways in terms of systems and what's been asked of you? Oh yeah it's definitely a different system different schemes um USC was a different scheme in South Carolina so just um having different coaches being able to learn to play books and get able to learn new different things it's going to be the same for the NFL because I just feel like I already been through it I've been through the the new play calls I've been through the the newest schemes learning different players so I feel like it's going to be easier when I go to NFL. Why do you have so much comfort in the past game? Because I trust my ability to catch the ball as well as protection I trust everything I do so if you prepare you know well enough and I think you don't have to worry about anything.  Not at all I think past protection is everything for a running back you have to be able to protect the guy next to you and that's just the biggest thing ever. What's the biggest thing NFL teams are trying to find out about Marshawn Lloyd through this process? Honestly just toughness I'm willing to work carry the ball past protection and just be able to run routes I just feel like just all around I just want to show them exactly what Marshawn Lloyd could do. You were a five star coming out of high school you have dealt with expectations all along how much does that help you as you come to the Reese's Senior Bowl and start through this process?  Tough guy Marshawn Lloyd running back USC.


Would you pour a gallon of whole milk on yourself? Your naked body. Uh, yeah, I've done it. Luxie, you wanna know a thing that I did for a video that you can find on the internet? I took a baby doll. No, I took a baby doll and I filled a tub with milk and fruit loops.   Do you think the baby's gay now? Probably. Oh, yeah, fruit loops. The fruit loops. You gotta be free.  I bought the Rosalina costume and fake tits. The fake tits were $167. Well, they're gonna be good fake titties. They're G's. I got the biggest ones I could find.  Oh, you guys will all get titty pics.  I'm gonna take titty pics and send them to all my friends, but I'm gonna like light it. Well, oh my God, I should do a like an only fan set chat. You won't get titty pic titty pics. You guys can have ludes. I need to call my friend Jessica Negry and have her teach me. Dude, Jessica would be instantly down. Are you kidding? Oh, she absolutely would. This eye is freaking me out. I hate that it's stretched like long ways.  Oh, that's not what I think. But I thought that an eyeball still blinks. Wait, yeah. What? Yeah, just bouncy. Oh my God. No, no, watch it blink. You see it blink? Yeah, it doesn't make sense. It doesn't have eyelids. This is just a eyeball. I want to chew on it. I think you're the only one. Did you chew on polypockets when you were a kid? Yeah, absolutely. Do you guys salivate when you see pimple-bopping videos? No comment. Y'all, you can be anything other than a human. What would you be? Can you have a immediate response from my chat? Was snail a snail? I also was thinking about just being dead. Like a rest, you know what I mean? Like a peaceful moment of rest. Just some good rest. So maybe a snail, I guess, but then I got to be scared as well. Have you got to catch a sleep most of the time? Just be a cat if you want to sleep. No, but you still have to exist and like comprehend things. I'd love to be like, like a dragonfly because they're born.  That's a good day. You just want to have one f**king good existence, one good day. Or you can be like a bee. You're born. You f**k.  Well, I don't like the last part of that. How long do you dragonfly stuff? I got to Google it and hold on. I literally think they only live for like a day or something like that. 7 to 56 days. Oh, that's way too long. No, but listen, they're so small that the way that they perceive time is probably different. You're absolutely correct. What? That is something I'm going to be honest. We're getting into like Ashley is starting to like think about things too much. The way that you perceive time depending on your size is something that will never not be f**ked up to me. What? Yeah, if you're small, you perceive time differently than when you're large. Like smaller insects and s**t perceive time differently than we do. If you're like 5'4 versus like 6'2, the person that's 5'4 will experience time twice as fast. I'm aging as I'm aging at such a f**king exponential rate. Y'all, I'm struggling. Oh s**t, what? King Boo takes everything? I've never seen this before.  Oh, is it because it's nighttime?  You got so many coins. That was so nice of y'all. Are you kidding me? All right. Give me the guts. Give me the guts. Give me the guts. Give me the guts.  Give me the guts. Look at that. You just got sprayed. Between y'all in my chat trying to figure out what Beardo's wiki feet score is. I'm not doing well. Sorry, Beardo. I'm literally always called bur- I'm traumatized by Beardo. I have no SARS and one coin. Oh my god, 69. 69, but I'm number one. That's what I was thinking. The number 169. I have no coins. I have three coins. We'll take what you have. That's so embarrassing. Thanks for your cooperation. Really awesome though. That's s**t. And the Bowser space. Bowser's gonna be like, you don't have anything. You know what? You good, fam. Oh, look at him. He's trembling. I feel like those two would have a spicy dynamic in bed. They will. It's hard to figure out who's top in that scenario. Or they just both switch. Who would be? Absolutely. Yeah, Donkey's a bottom for sure. Okay, but like what if, what if Bowser was a bottom? I mean anything is possible. Out of nowhere, someone in my chat just said Jason's married. Like we were all almost like we were all trying to hit on Jason. It wasn't after his strict schedule. Just so everybody knows. Just so everybody knows. He's been in your pants. Oh my God. Oh my God. Oh my God. Maybe I could jump as fast as the spin. You cannot do that. That's not a thing you can do. Oh God. Oh my God, a little bit of a like. I'm spinning my pants. I'm shitting on the ground. No. I'm shitting on the ground. Currently shitting on the ground. No, no, no. Oh my God. Yes, dude. Hard. I'm sorry. This is legitimately incredibly random, but I opened Twitter for half a second and saw this like artwork. And I just got to say I really appreciate under boob. Oh yeah. Under boob is underrated. It's pretty awesome. Wait, how is this under raiding in? Yeah. Who is under raiding under boob? No, it's not talked about enough because I feel like cool. Yeah, everybody takes it. Ask. Nobody's ever show me no matter the size. Just the underneath of the tit. Just the bottom. I feel like my low hanging goes through. But that is not even a thing. That's even better to call it that way. Low hanging fruit. I think I'm going to show some underwear. Hold on, backtrack. I feel like I missed a step. Thank you. You should show some under butt. Oh, you heard it. Okay. I was like, okay, no one heard that.   A little under butt, you know. No, I'm sorry. Some under cheek is also slaps. Yeah, under. Get them shorts or some jeans. Short shorts. This is an incredibly specific thing.  Okay, okay. Yeah, okay. Yeah, yeah, yeah, yeah, yeah, yeah, yeah.  It looks like a second labia, but much thicker. And I'm disturbed by the idea. Listen, I said, I told the story the other day, but I went on a date with this person one time. And afterwards they text me and I realized that instead of typing I well would like to do this. They would spell out E Y E instead of I. Oh, oh. So I had to stop talking. I had to stop talking to them entirely. Just in general, are you boobs or butt? Cause I'm a butt person all the way. I love a good boob. What butts? I really do appreciate more. I have a caveman like boob-booba instinct. What? I have a caveman like draw to the boob-boobus. Oh yeah. No, I'm a I'm a I'm a boob. I'm a boob. I'm a boob. I have to say this way I go through eras. Oh, I see. Like right now I think I'm in my butt era, but sometimes it switches back to the boob era. Yeah, but like a nice pair of thighs and a pair of softball pants. Hard to beat. Softball pants and thighs. Oh, you ever seen a pair of softball pants?  I look at this makes me feel like I haven't seen a pair of softball pants. And let me don't worry. I've sent a picture to BlizzBear and I'll send a picture to you. I like the idea that you're just sending like an Amazon picture of softball pants. I told stream I like search history ones, but I was like, I don't know if y'all do this, but I'll Google like transparent images. But I'll just be like transparent Godzilla. But I was Googling transparent softball pants. And my Pat thought I was Googling like softball pants that were completely see-through. Should I get some softball pants for the Rosalina cosplay? How about we all get it? And then we all recreate the twilight baseball scene. Oh, I wouldn't want nothing in my life. Is anyone really good at editing? I've been editing for a long time. Someone's gotta edit it. I'm leaving y'all.  Please. So is the fire getting colder? I literally have an Alice Cullen wig. I will fight everyone. Yeah, it must be. I would have had Alice Cullen hair in high school if her hair was not curly as fuck. Yeah, wait, who's going to be Emmett? I don't know. Wait, who do you want to be, Ethan? You have to be Jasper. Yeah, everyone said that I have to be Jasper. Yeah, you have to be Jasper. Oh, okay. I mean, I also think you just sitting there eating eggs out of a bag would be a bang in addition though. So whatever.   No Bella's insert. So Bella's just like a cardboard cutout. Whoa. Lexie, do you remember what happened? When V pissed on the floor and then tried to see my coochie? Yeah. I heard that story. Yes, I do remember. How could I forget?  It was a monumentous occasion. I don't, I don't know if we found out, but we confirmed. We confirmed. That's a better way to put it. Oh, you're doing so much better than me. Oh God, no. No, I'm not. Oh God. No, you are.   Somebody's on the video. What video? What video? Well, we have to see it. The budget is absolutely $200. Leah's strange experience. Oh my God.  Oh my God. It's making me anxious. Oh, they throw me at one point. Yeah. Yeah. What? They throw you? They picked me up to throw me. You have so much faith in these people. They, I did not have any faith in those people.  They were like 80. They throw me in the air and they catch me. Oh my God.  I was the whole, it's the, I'm not kidding. Like the person in charge, no tino shade, all tino shade actually is just made it up and it just makes no sense. And it's so bizarre. And they're like, okay, this is what you're doing. And I was like, I'll get paid quite a few pennies an hour to do that. Oh, is there evidence? Evidence since I was watching. Whoa, whoa, whoa. Also, could you imagine how many celebrities would just rent out Disney World during the day? Just cause they could. Why not? Yeah. Oh, and it absolutely would be just cause they could. Yeah. No anything. You're welcome. Luxie. What? I'm so sorry. Don't worry. I really am just here to chat because of this place. We can't disappoint toad. He's our driver. Yeah. Well, I won't. Not my butt. Why did you punch it? I don't know. I'm sorry. We got this. We got this. You and me, Luxie. Come on. I got it. I got it. I got it. We got it. We got it. We got it. We got it. We got it. I'm so sorry, Jason. No, I'm sorry. That was my fault. That was my fault. Yeah. We got it. We got it. We got it. Oh, no. Damn. Yeah. Let's go. I'm so sorry, Jason. Nice job. Did it sound all your fault? We both were just vibing. I am so sorry. Do not apologize. Ravelmore, Ethan. You did a terrible job. 14 out of 15. We're almost done. Jesus.  Give me money.  Sorry. Oh, wow.  If it's money from you. It's okay. It's fine. The question is for this. Who is the thirstiest animal? Oh, it's gonna go back to me. At the end, we'll know who's the wettest also, so. I am and we'll know. Yeah, who is the wettest. Me. Absolutely. I will be the wettest. I have gotten zero on the most clouds. I think cloud is being a big one. Stop! It was just a little bit of paint. Excuse me. I was looking at cloud and it gave me zero humblies. I haven't been under this cloud like ever. It's a little bit upsetting. I just need a couple of brain drops. I feel lucky. Oh, my God. You were under the cloud. I don't know. Who's the wettest? I think it's Jason. Jason, really? I feel like maybe your big Donkey Kong body was the wettest. Oh, it was you, Ashley. Mine was teeny tiny. Under that cloud. I was the smallest. You think I can get three tens? There's a chance. I'm closing my eyes completely. Yeah, that's three tens. You were really close. You almost got ten. All right. Last. Oh, my God. Are you kidding me? I didn't have enough for the star. I didn't. Yeah. No, I didn't have enough for this phone. It was the last mini game. In this mini game, they give Donkey Kong a star at the end, no matter what happens. It's true. They do. I heard that. Yeah, I heard that. They changed the rules. Oh, this one. They changed the rules. Oh, you just want to be in the center of the camera. Yeah, you just want to be like set of frame. Hell yeah. Do you need to be on the podium? Yeah. You do. Let's see.  Yo, come on. Oh, huh. It's a tie. Everyone, everyone. Donkey Kong look great there. Donkey Kong did look great. All right. Here we go. Oh my God. Here we go. All right. Who do you think won? I literally don't know. I don't either. Sightseeing. We'll move to the most. I have no idea.  No, I don't think so. Unlucky. There you go. If did you win again? Yeah. Ethan won two in a row. Did I know because I didn't have any money? It doesn't matter. You have the most three stars. It's the stars. It's not about the money. Yeah, but I thought I thought that I tied on somebody with stars. Nope. Stream title was correct. Only dubs. The successful clairvoyance.


Wesley So finished with 7 out of 10 at the Gibraltar International Chess Festival. Wesley joins us in our studio and talks about the challenges of playing in strong open events. Wesley, good to finish on a high. Yeah, definitely. We have a very interesting game today, very interesting fight. I mean, I didn't get much out of the opening and he wanted to repeat moves, but the position was probably equal for the most part. But I kept playing and, yeah, managed to finally make it after missing Goodwing Chance as my last two games with Black Pieces. Right now it was important for you to go all out today for a good standing. Yeah, yeah, definitely. I mean, I've been trying to win the last three games. By the same time, I kept in mind that it's just as easy to over push. I get overrated there and lose with the White Pieces like what happened with me against Nils Crandelius. So, of course, I wanted to win, but I can't say the King's Gambit yet. Right. Now, you finished on 7 out of 10. How do you evaluate your performance in this event? Well, it was a difficult tournament for me. It's very hard to win games. But basically, I think the turning point was my loss against Nils Crandelius because if I didn't lose that game, then I could definitely fight for the first place. But that changed my tournaments a bit. And then I'm playing lower-rated people like these Indians, Lalit Babu, who defend very well. So, winning opens is far from easy. But it's my first time here in Gibraltar. I really wanted to come and I really wanted to play. And so far, my mother and I, we like the tournament very much. If you know, in Minnesota, we're having a very cold weather right now with, once in a lifetime, ice vortex. A polar vortex. So right now in Minnesota, it's like 100 degrees Fahrenheit cooler. So it's like negative 50 there right now. So I'm very pleased to have managed to escape that. So that's why I always need a tournament in January to escape the weather. Good to have the sun indeed. Now, you mentioned something interesting about the challenge of playing in open events and playing all these players who you don't really, really know well and what they play. Tell us a bit more about that. Well, the main problem is that if you win one game and you, if I win one game and I draw one game, I'm still losing rating points. So it's very difficult. I mean, before here, I played in Isle of Man. I lost 15 points because I made like seven draws in a row. So it's very difficult. And then, you know, these low rated guys, they're fighting for their lives. They're playing some of their best chess and they're quite pleased with a draw and if you ever push, they'll go and beat you. So it's a different mindset. But I think the secret is to not lose a game. It's basically impossible to fight for first place if I lose one in a single game. And, yeah, I guess it's interesting. I mean, Magnus likes, doesn't mind playing in open tournaments, even though he's got incredibly high rating. But I noticed that really top players have a very difficult time not losing rating points. I mean, two years ago Fabian lost 10. And, you know, these low rated players, they sometimes crack, sometimes they don't. But even if they crack, you only really get one or two chances to beat them. And yesterday I missed that. So the push with white and hold with black strategy doesn't really work in open events? It depends how a player starts. Because if you start like David and win four games, the first four games, then definitely by all means, draw with black and push with white. But it's just sometimes it's very important to have a very good start. But if you do your first two games, then you have to basically try to push with both colors. Now, this was your debut at the Gibraltar Masters. Tell us the experience off-board. Well, there's nothing really I can complain about. The playing hall is in the same place as our hotel. And also we get buffet dinners for breakfast and dinner. So everything settled. We have great weather here. We have really strong players. So it's a very good practice for everybody. Even for top players, they don't care about your rating. And it's a very different tournament from what I can say. Because what I can say is like two times the length and also lots of top players. Will we be seeing more of you in open events? Hopefully not. I never gained rating in open events. I mean, not that I care particularly much about my rating, but this year I'm playing a lot of rapid and blitz tournaments. Next month we have the Champions Showdown in St. Louis. And I think it's the chess 960, the Fisher Random. And Grand Chester has three or four rapid blitz tournaments. So I don't really get much chances to play in classical tournaments. But I think there are two opens I really want to play in the world. So Isle of Man and also here in Gibraltar. That's basically it, thankfully. Well, we look forward to having you back with us next year. Enjoy your evening and the gala dinner. Thank you, Tanya. Thank you.


What's going on everyone? Sam here with Layton Sportsguards doing 2021 community select football hobby three box break number 30 random teams. Here is the results to the random again you could always find these on the website under the results tab as well as the link in chat. Let's go ahead and open some select good luck here everyone here we go good luck on this selects been so hot this year yeah yep you got I believe a green already potentially Zach Wilson 58 out of 75 not a green my bad still nasty though on the white that is a white jersey for the Jets there you go New York uh Remandre Stevenson on the silver Trevor Lawrence sensations rookie Russell Wilson silver Jalen Phillips field level Tyler Wallace Gary Brightwell gold Bobby Wagner on the field level 10 out of 10 nice b-wags there you go Seattle who's got the seahawks that's so nasty Daniel H love Bobby Wagner Jamar Chase silver obviously so nasty Devonta Smith rookie your boy Devonta looks like nasty yeah Kyle Pitts uh blue field level Chris Carter 21 out of 49 there you go Vikings Joe Try and Shoyanka for the uh Bucks Jacob Harris Peyton Manning Pat Friar Muth sensation Josh Allen uh Dammi Brown silver club level uh Randall Cunningham five out of 75 on the Silver Auto Vikings there you go Minnesota that's sick and CMC Lee Terrace Marshall we got Garrett Wilson on the XRC there you go XRC Auto I didn't even realize that holy cow that's huge who's got the Jets didn't even register for a second there where the heck are the Jets Jets Jets Jets Kevin H congrats buddy that one yeah sure yeah silver Jonathan Taylor Zach Wilson field level rookie that's nasty actually holy cow dude it's kind of wild uh Tramacitty Matt Stafford on the tri-color uh 80 out of 249 Silver Gronk Jerome Bettis I guess that is kind of like ironic Vaughn uh Amir Smith Marsat tri-color club level to 149 Dave's Mills Highland Hill Silver Snapshots Mike Vic Silver field level Jamar Chase there you go Bangles Luca Forel Evo Snapshots nice Silver Amon Ross St. Brown there you go Lions Kurt Cousins Jonathan Taylor we got Tyree Kill 33 out of 75 on the Patch Auto Chiefs that's pretty sick actually it's got KC Taylor S grabs buddy Cadarius Tony Amon Ross St. Brown rookie Dak it's a red Eric Stokes 41 out of 99 Trey Hendrix in on the Silver Chuba Hubbard I'm gonna go for box one on to box two Montre Patrick Mahomes nice Jamar Chase 37 out of 199 there you go congrats Bangles Silver Josh Palmer on the field level for the Chargers Chages oh we got a Zebra come on baby the club level it's a rookie got Simi Fahoko there you go Cowboys on the Zebra who's got Dallas Jason B congrats field level Zebra baby Damian Harris Frank Darby take that Jamar Chase rookie Lamar uh Derek Henry is that tie-dye tie-dye 22 out of 25 on the Phenomenon there you go Titans Silver Jay Jedis Sack Wilson field level rookie that's a Jersey number yeah you're right Jersey numbered thank you Don yeah Jersey number it's back here uh Paris Campbell on the bronze jersey card the Colts is six out of 49 the Ami Brown Silver DeMonte Smith rookie Kyle Trask Scridge there you go uh Josh Palmer that is 45 out of 149 Chargers Alvin Kamara Navi Harris Kyle Pitts rookie Aaron Rodgers Silver Sam Darnold and Mahomes field level nice Bart Allen Wallace Silver Kyle Trask selection Silver Davis Mills and Amari Cooper Ian Book Joe Montana Silver Trey Lance Phenomenon nice Jacob Harris Silver and JC Jackson Ridley Strayhan Rondale Moore nice one there that is 111 out of 249 for the Cardinals Silver Joe Mixon Christian McCaffrey Framue DeAndre Swift we've got Kenan Wangwu on the RPA going to the Vikings Vikings doing very well here 146 out of 199 he's got Minnesota Matthew K having a good break for yourself there buddy Chase Young, Cherk Derek Gore, Purple Tom Brady there you go puck in the ears 43 out of 75 nice Brady that'll do Silver Big Pong Jeremiah Alucu Coromola Hunter Long Tyree Kill Kyle Trask Warren Moon 16 out of 35 on the color match light blue congrats Jeff G with Tennessee that's nasty that'll be going to the Titans and kind of game up oh you could just hop over to Fahoko I think too yeah I just haven't got through it gotcha I meant to tell you that when I pulled that I was like uh probably not on Mac worthy I'm sad because that ends my streak my I pulled four zebras this year jeez it was um you know out of all the cases I've done it was Mack Jones Trevor Lawrence Tom Brady and Aaron Rodgers those are the four zebras that I pulled this year and now Sammy Fahoko at least it's a rookie I'm glad about that yeah any rookie zebra is always going to be money I was so jealous I think it was Kenzie or Forest pulled when I was toppling or shot Bateman zebra oh it's like jeez that's a um tease Justin Fields shy smith got Scridge field levels 43 out of 75 Seahawks there you go Seattle Silver uh Kirk Cousins yeah I agreed that Vaughn basically like a color match for both the Titans and the Oilers it's pretty sick like that moon Palmer uh Herbert Sensations Carr Silver Aaron Donald Aziz Melvin Gordon Barry Sanders nice on the club level 13 out of 149 there you go Lions Josh Palmer Silver club level as well Devonta Smith rookie Darnold Silver uh Steve Young Silver Lamar Jackson and Amonra St. Brown rookie Davis Mills rookie Jay Jedis Tom Brady got Zach Wilson 54 out of 75 on the blue boom holy cow Kevin H have a break Garrett Wilson and a Zach Wilson Wilson to Wilson baby get that right in a mad for you Russell Wilson Nelson Aguilar kind of gain well there's a Micah Parsons nice Cowboys uh 174 out of 249 um god this is nasty go to Seattle that's Jim Zorn on the Silver Auto with the inscription there 211 out of 299 that's on that Seattle that's cool and Jalen Darden rookie ones like I've got the Chromebook get that my nose Jim Zorn's pretty cool Taylor are you in this one is this you I didn't get to see the last name uh Davis Mills Silver uh Jamar Jefferson because there's a Taylor ass I just don't know if it's you if you pulled you something nice I think Nico Collins John Bates on the blue field level 19 out of 49 Silver CMC Jayman Davis and we got a tie-dye coming up tie-dye patch Kylin Granson Tylin Wallace six out of 25 for the Ravens that's a disgusting patch that's a good disgusting patch on that one four caller Gratz uh who's that Eric you know Ryan Ryan B with Baltimore Jamar Chase Silver Trey Lance of Trey Lance rookie and you can realize that it's gonna register David we got a green come on baby Shuba Hubbard on the rookie four out of five who's got Carolina Eric R having himself a night Tuba heck yeah Kyle Trask Silver Rondeau Moore Zeke Gibson Herbert Silver field level Davis Mills and Trey sermon field level here is Tony Shuba Hubbard future franchise Trevor Lawrence boom super short print congrats Eric R again with Jacksonville holy cow I was not expecting that one she's man get that one magged for you as well holy cow cheese dude silver darn almoony and Barkley on the field level that is unreal man unreal holy cow geez all right guys let me uh let Don catch up for a second I'll start on our patches we've got Tylin Wallace the 25 Ravens uh Paris Campbell to 49 for the Colts and Zach Wilson to 75 Jets that's our autos I can mag Juba yeah um Jim Zorn for the Seahawks for 299 Warren moon nasty card here 35 there you go Titans uh Kenyan Wong Wu to 199 for the Vikings uh Tyree Kill to 75 Chiefs and Randall Cunningham to 75 Vikings and our mag cards one second just gonna tag this off really quick we've got I mean I don't even know what order to go in here believe this this this and this we've got Shuba Hubbard on the green that is 4 out of 5 oh wow that's good Mickey hosting my family and friend and paying for everything budge I feel that uh we have Zach Wilson RPA for the Jets 54 out of 75 um we had a Garrett Wilson XRC 43 out of 99 for the Jets and how about a future franchise super short print Trevor Lawrence so nasty that's gonna do it for the right guys thanks again next up more select


Abstract and silico-mechanistic modeling approaches have been designed by various stakeholders with the goal of supporting development and approval of generic orally inhaled drug products in the United States. This review summarizes the presentations and panel discussion that comprised a workshop session concentrated on the use of in silico models to predict various outcomes following orally inhaled drug product administration, including the status of such models and how model credibility may be effectively established. This article was authored by Ross L. Walenga, Claire Butler, Brenta Craven and others.