What is up, everyone? Welcome back to another fan duel. Madden, Monday Night Football Preview Live. So we're gonna be chilling playing to Madden, you know, as we do. Previewing this Monday Night game between the Chargers and the Cowboys. Two teams that, oh man, I mean, always have high hopes, never really pull through. This is the battle of unfulfilled expectations. Is that, is that fair to say? Anyway, if you remember last time, we actually played two games, but one of those games against the Patriots did not save for some reason, I don't know. So I'm in that game again, we'll finish that one, or I guess we'll play it again, then we'll hop into the next game as well. Or maybe we'll just do, we'll see how long it takes, you know, play it by ear. So yeah, ask questions about Monday Night Football, you know, what kind of things are you guys expecting? And, yeah, that's pretty much it. That's pretty much it, you guys know how it goes, you know how it goes. All right, oh, what is this camera angle? What in the world? What is, what is going on here? Okay, okay, okay, Josh Jacobs? Eight yards? Give me the worst camera angle of all time, but there we go, now we're back. I never liked these choice routes because I never know what they're gonna do, so I can't really anticipate a throw. I'm actually gonna send you on a shallow in, I think that works a little bit better for me. Nope, it doesn't, it doesn't. I did have Jacobi though. All right, we got the first down, it doesn't matter. We got the first down, that's all we need. We'll take it one, two, three first downs at a time until eventually we're in the end zone. I thought I was gonna be able to step up for that. I might pick the chargers tonight. The Cowboys have not looked great. They made a point this off season to cut back on turnovers, but now they're often just isn't explosive anymore. But that's the price that you pay when you try and do stuff like that. If you can't generate explosives, it doesn't matter how many turnovers you get rid of. And they're often, if line isn't good enough to just be this like super consistent, march down the field, oh bro, you gotta get that first down. You gotta get that first, now we're gonna punt. That's crazy. Another prime time snoozer. Yeah, one can dream, man. One can dream, it's just, I don't know. They try and set up like good prime time matchups, but no one really knows what's gonna go down. Oh no, get out of the end zone. Oh man, that was almost a disaster. Blitz. Oh, oh, you gotta catch that.  The fact that we're dropping this, let's see what we've got here. Dang, first down, let's go. Let's hum, let's hum on offense here. Easy money, easy money. Wide open, let's move. We got a score before half here, throw it away. There's nothing there. I might have had mayor for a second, but I hesitated, didn't let it fly, and by that point it was covered. So, what more can you ask for? Again, I don't love these choice routes. Let's do just some slants, maybe back to block. Slide right, good protection.  This is, these are the moments we live for right now. Just beautiful drive, just gonna send mayor on a drag backside. Oh, no, no, no. Of course I fumble, I make a guy miss in space. And I fumble, ah, that's brutal, man. Now we're down, they scored. I got too high a safety look, but that corner on the outside's playing pretty far off. I kinda think it could be a cover three here. Oh, was I right or was I right? Was, oh, that's a horrible throw. All right, this time they're just giving us that straight up look, no safety rotation. Bang, right in the bucket, man. Right in the bread basket, what should we like to see? Let's hit them with the screen here. Beautiful, beautiful, Jacobs, you gotta follow your blockers. One yard gain is not acceptable there. I mean, it's positive yard, so I guess it's acceptable, but like, not ideal. All right, this is almost certainly cover two or cover one. Oh, Devante, needed like just an ounce more of time. I was just trying to buy time. I was just trying to buy time, man. Heartbreaker, truly, tragic. Luckily we get bulked in out of half. Get another opportunity to put some points on the board here, oh my God. Great blitz pickup, oh, I couldn't get the throw out. No, fantastic blitz pickup by Jacobs there. Free rusher, up the middle, and he just picks it up beautifully. I'm gonna give Jacobi Myers a bone here on the outside. Couldn't quite make that play there. But it's all one-on-one on the outside. Everyone's on it, I think we gotta give our guys a shot to make that play. All right, we know we've got Judon coming off on the right side, so we'll set up to protect against that. That's a pick, got bailed.  Can't ask for much more than that, can you? This offense is horrid. They keep calling like the same four plays, four yards there. I wish I could like move guys around, but I think this should be a good run. Is that a first down? Yes it is, we'll take that. We'll take that, new set of downs. Doesn't get much better than that. Probably a cover three here, and this is not set up well to beat cover three. Three, two, bang, bang, Michael Mayer, great catch. Great catch, weak point, cover three is up the seam. All right, so you're running, I mean, crossers could work. We run the risk of throwing it a safety though, and I didn't wanna do that, so. All right, let's get it, break a tackle. Five yards, can't be mad at that. Five yards on first down, we take that all down.  All right, it's not really there. I had Jacobs, but I'm not gonna throw it now. Nothing there, definitely cover three. Oh, he dropped it, yeah, I mean, I threw it short of the sticks anyway, probably wouldn't have gotten there, but, brutal. I would like to go for these. Why did you choose, I didn't choose the raiders, I got drafted to the raiders. Was that an illegal forward pass? She was so open, he was so open. I just needed to buy myself a little bit more time. Oh man, I just wanna, I almost wanna just do that again. I kinda just wanna do that again, cause I think they're gonna give me a similar look here. They are, oh my God, they are, I can't believe I under threw it, I under threw it. Do I dare just run it again? Like, why not, bro? Because it's probably not cover three this time, that's why. Oh, no it, bang, bang, bang, bang, please. Oh my God, it's there every time, it's there every time and I just can't hit it. We're doing it again, we're doing it again. I did the same thing four times in a row, he got open four times in a row and I missed him four times in a row. Like, oh my God, it's my arm that weak that I can't just like drop a ball in the bucket there. Just hoarded, hoarded, we're gonna try it again. Well, we got it over in between in the window, but not over the top for the touchdown like we had on those last couple of drives. That was crazy, I can't believe we didn't convert on any of those. Oh great, now I'm just going in the same play, I need to get out of my reasons. Hunter, Renfro, he hoarded in, let's go, let's go. I saw him beat his guy off the line, I was like, I'm just dropping that in the bucket, in the bucket, bang, bang, bang, oh my God. Poor accuracy.  The penalty, we score, there's a penalty, it's gonna get called back, it's gonna get called back. Mm-hmm, holding, offense, brother, really? The one time we make it into the end zone, we're holding? What is this?  I can't believe the one time we get in the end zone, it's a freaking penalty. Unfortunate, tragic, but we lost in the original time we played this game, so that's okay. This is nothing new, right, it's not like we won the first time and we lost this time. So we still have an opportunity to keep going and win our next game. Yes, we need to upgrade our skill, mostly either our throw power or our accuracy. We have two skill points, I say we up the throw power to 81 here, yep, I say we make that. And then, I should help us out a little bit, who knows how much of a difference it'll make like right now, but it'll get us to where we want to be, hopefully. One can dream, we play the Bears this, listen men, if we can't beat the Chicago Bears, we can't, we don't deserve anything. If we can't beat the Chicago Bears, we don't deserve anything. Let's do some on-field drills though. Get ready, you know, make sure that we're prepared for this game, it's important. Practice, complete a pass within the time limit and score as many touchdowns as possible. You'll be awarded bonus points for longer passes, successful skill moves and celebrating during the play. Okay, so it's just, okay, so it's just like seven on seven basically, missed him, missed him. There we go, got him that time, Devontae, hold on, do it. There we go, got him that time, this is Devontae. Oh, he got stuck, he still catches it though, because he's that guy, missed him. Perfect accuracy in what world? Perfect, perfect, I mean, we'll just take that I guess. It's only a few yards, but easy peasy, yeah. Oh, whoa, whoa, whoa, he caught that? That's crazy, that's crazy. Oh, we're kind of dotting these dudes up right now.  Oh, oh, I thought he reeled that in. I thought I snuck that in right behind. I'm gonna sneak this in though.  That was dirty, dirty, dirty. All right, that comes to the confidence we needed. You know, scoring in practice, we start scoring in practice, we'll start scoring in the games. The thing is, those were like legit creative play calls. We don't get those, I feel like in most games situations. We're not getting a lot of those like really creative passing concepts. Extra throw power for the game? Yeah, we need that. Yeah, we need that, man. Let's see what else I can get. I guess we'll just do some extra stamina work. And then we'll hop into this game against Chicago, man. We're what, 0-6? Yeah, that's gonna change. That's gonna change today. That changes right here, right now. Gotta snap this losing streak, going a winning streak. All right, started with practice. We had a good week of practice. Now let's have it translate to the game. All right, we're coming out with some slant looks here. They're crowding the line of scrimmage a little bit. I'm actually going to change this up a little bit, just a little bit. Oh God, okay. Yeah, I saw a press look on the outside that we could create some separation one-on-one. Never had a shot. There we go, there we go. Hunter Renfrow, that's 15 yards. Almost a first down, third and one. I say we just run it here. If Josh Jacobs can't pick this up, we don't deserve it anyway. This should be an easy box to run against, not easy, but doable. Let's get it. Yup, first down and then some 11-yard gain, block loss. We gained 15 yards and they're yelling at me? What are we talking about? I'm a quarterback, why are we criticizing my blocking skills? Outside zone here, good, I was about to say good vision there, but then we cut inside into someone, so I take it back. See, look, it's just like, this is kind of creative a little bit. There's not that many creative passing concepts in this playbook, I feel like. There we go, Hunter Renfrow, another decent gain. Seven-yard completion and second down. Do we give it to Jacobs again? Oh, they're stacking here, they're crowding. Okay, all right, we should be able to get Hooper here or maybe Adams can settle. Yup, bang, bang, bang, beautiful, beautiful. Oh my gosh, that's textbook. The pressure got there, man. I just got the ball out so perfectly. Jesus, this route by Michael Mayer is so deep.  Touchdown, touchdown, yo, I think it's the first time we've ever scored on an opening possession. Where do you see the Browns coming playoff time? Could easily see them winning their division without, yeah, I mean, the rest of the Brown schedule is very favorable. The defense is fantastic, so we're gonna be able to hold teams to low scoring numbers. The big problem will be the offense. Like, at some point Watson will come back, I imagine, and the offense wasn't great with him out there. The Tennessee game was the last one where we saw him and he looked okay-ish, but he still had some really bad plays every now and then. So we'll see how things look authentically going forward, especially without Chubb, we'll see about Patonio. But yeah, the offense is the main thing that hurts them. They play in a tough division, so they can make the playoffs, but, and starting three and two, given the opening schedule and given all the circumstances they face, to beat three and two right now is very good, very good for them. They go into a kind of an easy portion of the schedule going forward. So no reason why they can't make the playoffs other than if their offense falls apart and they lose games that they shouldn't lose, right? But hey, we scored on our opening possession. We got the ball back here nearing the end of the first quarter. Something tells me that these safeties are gonna rotate. Man, I wonder what could have given it away. Maybe it was, I mean, it was either that they were gonna run quarters, right? The safeties rotate, they send a blitz and I'm lucky that it wasn't a safety. I mean, these bears, they're going after like the number one drive killer. If you can get sacks on defense, you can do a lot to hurt an offense. The fact that they wanna run, play action here, it's kind of irritating. No, no, oh my God, man.  Nowhere to go. But hey, we got the ball back, defense did its job. Let's get back out there. Probably just a cover two, no, cover one look here. I'm gonna give Hunter Ren for a shot. Oh, he did not win that, he did not win that. Okay, a man can dream. I'm just gonna get it out to Jacobs there. Get it out to Jacobs there. Third and two, we'll take that all day. Just trust my playmakers in open space, like obviously. I don't love this play, but I dislike the other options more. So got the first down, five yard run.  Oh, yeah, no one's even close to open, not even close. Not even close. I'm gonna send you on a slant here. I like that look a little bit better. Oh, I like that a lot better. Third and 10, let me hurry up, actually. Yeah, they vacated there right away. That was really great. Audible on the shotgun here. All right, we should be able to pick this up. Bang, bang, bang, bang! Oh, beautiful, oh, beautiful. That was so textbook. Get him out in space, basically with a lead blocker there in Jacobs, too. Screening off the defender, that was so perfect. That was so perfect. Bang, Renfro, another eight yard gain. I am money on this drive, not even this drive, this game. Eight for nine, a touchdown, over 100 yards so far. We're cooking, there's showing cover three here now. Oh, fuck, man, it was so open. It was so open. Oh my God, that was ridiculously open. Oh, that was insane. You have no idea how open that was about to be. If these safeties rotated, so it's Renfro, if the safeties rotate, we're hitting Renfro. Bang, shit, man. You can't quite get the separation on that, okay. All right, we'll take the three here. Hopefully we can make the field goal, extend our lead to eight. Hey, and we get ball back? Hold on, and we get ball back. On the seven, nah, we've got to score here. Absolutely have to score here. He probably has outside leverage, doesn't he? Okay, let's do that. Oh, please, no. I was hoping he could win his, I was hoping he could win inside. I didn't even read that.  And we have ourselves a ball game, 10 to nine. 10 to nine is crazy. Oh yeah, absolutely a cover three look here. Gotta catch that. Almost certainly another cover three look here.  Oh, who? I'm trying, I do think we can maybe score here before, before half, we just gotta get, if I get the right look, oh my God. Oh, man, if he reels that in, and we get the time out, no, we're dead, we would absolutely be in position. We would have absolutely been in position, but now I don't know. Now I don't know, now it'd be really tough. Third and 10, six seconds. Man, that's pretty much, that's pretty much gonna be half. I mean, maybe I should have been playing for field goal range more so than a touchdown, but let me cook, who cares?  I'm gonna have to go back and watch that after. I, bro, oh my God, oh my God. I have to go back and watch that after. How in the world did we not score there? Oh my God, the safety's rotated. He crushed his man off the line of scrimmage. I don't know if I just missed him, or if he just didn't stick his hands out. That's mind-boggling. That should have been a touchdown. That was as guaranteed as it gets. I will never get to play that free again, ever, ever. Dropped, oh my God. What am I supposed to do? What am I supposed to do about that? Just dropped, just dropped. What are we talking about? What are we talking about, man?  Oh my God. Bro, we started off so well. We started off so well. That first quarter was great. Somehow, we only hold them to three. Great job, defense. Great job, defense. We're still right within this game. Let's hand it off to Jacobs here. We don't need to force anything. Hand it off. Horrible vision. Where are you going? Browse to the bowl. Maybe next year, man. We'll see how the offense gets going, but without Chubb, I find it hard to believe. Oh, oh man. Wait, wait, we're gonna convert. Oh, what a run. What a run. I was not feeling confident about that, but we got it. Oh my gosh. All right. We're back on track, boys. We got Pressman coverage outside on Renfrow, or at least I think it's man. We'll see what the safeties do. Bang, bang. Oh my, every time, every time, every time. We get it so, it was so open. It was so open. Doesn't get more open than that. Like it really doesn't. Good catch. Good catch, third and one. The Bears are getting a lot of pressure. Like a lot of pressure. All right, let's get you into the flat here. Just check down. That's open. Oh my God, I missed. No. Oh my God. We have to go. Please, please go. Man, let me go for those. We got the ball back. Oh, defense is so clutch. Defense is so clutch. I should have to get something off. The pressure was closing in. Play could have been very bad, but it wasn't. And I'm grateful. Let me just one on one. Go get it, Devonte. Oh my God, he got it.  Sometimes you gotta trust your guys. Sometimes you just gotta trust your guys. What a play. Yeah, I mean he's like a 99 in this game. You just gotta give your guys a bone sometimes. You really do. You've got a top five receiver in the league out there. Sometimes you just gotta let him go to work. Like sometimes you just gotta let him go to work. Now Devonte's on his X factor.  It wasn't cool. I wasn't getting like the one on one look I was hoping for. They had like, they kinda had him bracketed there so it wasn't looking like the right throw because his X factor is only for one on one comfort which I think we'll get here. Oh, absolutely we have it. Oh, absolutely we have it. Mine! Ah! We're so back. We're so back. We're so back. Let's go, man. Two possession lead. Two possession lead. This is what we love to see. This is what we love to see. And he's still on his X factor. So honestly, no reason to take the ball out of his hands. Oh, did he not catch that? I thought he caught it again. Oh my God. So now he's off his X. That's okay though. We'll hand it to Jacobs here. Got a light box on the weak side. It's a pretty good run, four yards on second down. And a field goal would be okay. It would not be the end of the world to take a field goal here. We would live with that. We'll kinda see what they, what look they give us there. Bang, bang, bang! Touchdown! Oh my God. Oh my God. I was like, if they flair out, obviously it's not gonna be there. But if they just drop, because even when that safety rotates down, he's not rotating down and out. He's just coming down and feeling like the underneath space. So the outside's gonna be open there. Oh, this is glorious. This is so beautiful. Yeah, we'll just hand it off to Jacobs again. Got a lead blocker here. Just get out there. What's that, four yards? Hey, we cannot afford injuries on the offensive line right now. We cannot afford that. Let's go. Good run. Great, great blocking up front there. Beautiful. That's another first down. I think I'm just gonna start turning on two clock, put these bears out of their misery, hand it off to Jacobs. Decent blocking. Three yards, not the worst, not the worst run in the world. I don't know if I love this look.  Five yard, or third and five, two yard gain there on second down. I feel like we could face some pressure on the right side. I have Johnson there to help out. Let's go. Oof. That's kind of the only thing you really didn't want me to do there was throw a pick. You know what, it's cool. It's whatever, it's whatever. We're probably gonna win anyway. 30 to 19. Do I get greedy in trying to go for a fifth touchdown? We'll see what look they give me. This is not a favorable look to go for a fifth touchdown. All right. Hand it off, pretty good. Oh, good move, good move. Pretty good blocking, solid move there. This is also not an ideal look to go for my fifth passing touchdown. But that is okay, we'll hand, or I guess there was no realm in which I could have made a right decision there. It was destined to fail. Oh, thought I had, thought I had enough time to get that off. I did not, but we get the dub. That's all that matters.  A win is a win is a win is a win. This is what we love to see. This is what we love to see. But I do wanna go back because there was a point in time where there was no reason why we shouldn't have won this game. Was this the one coming out of halftime? Yeah, where we, I can't believe that. And they're not even gonna let me view the, or maybe they will, maybe they will. No, no replay, okay. Yeah, I mean, that was terrible. There was a really bad drop, I mean, out of halftime, I think it was. Here it is. I mean, they're not gonna let me show that one either. Of course, right? The two plays where absolutely we're not my fault. They're not gonna let me show them. The first touchdown to Devontae was just, we'll see what that look looked like. Pre-snap, we'll zoom out here. Just straight box view, right? All 22, right? All right. So we saw too high, got pressed on the left side. I would not have thought that Devontae would have had one-on-one, but it looks like they're actually rotating into quarter quarter half here, maybe. I can't tell what they're trying to rotate into actually because the safety, this safety stays low. Almost like he's playing whole coverage or that he's in man, right? That's almost what it looks like is that he's man up on 87 here. And then they're either just straight doubling on 13 or, but like he's dropping really deep for that to just be like man coverage. Like I would not expect him to drop like that in man. So it's a very odd separation of coverage here, but it leaves Devontae one-on-one, which I did not expect pre-snap, but I was like, you know what, I'm gonna give my guy a chance. And I think part of what worked here is that I did throw it so late. So it literally gave him a chance to like, oh, I mean, the DB just overruns this. But again, I think that only works because of how like I do throw it kind of late. Like I think if I throw it like as soon as I recognize that it's one-on-one, if I throw it like here once he's even, it's probably, I don't know if that gets caught. Maybe it does, maybe it does. But I throw it like a hair late, DB overruns it. Devontae Adams elite ball tracking. This looks like a real life play that could happen with Devontae against the Bear Steve fence. So that's the first one. Then we come and complete a pass later downfield to Devontae, right? And this one is just, again, it's just one-on-one, right? And it's basically the exact same look they ran before. And it just, it creates this one-on-one like everywhere, except for Jacobi. Jacobi's the only one that really doesn't have a one-on-one here. But like everyone else has one-on-ones. And if I were to have ran Jacobs on a route, he probably would have had a one-on-one. It's just like, I don't know. The thing that makes it hard with these receivers sometimes that Devontae often lines up in the slot. So it's hard for me to get one-on-ones with him, if I get a one-on-one with him in the slot, I'm taking that all day long. I mean, that's so free. That is about as free as it gets. Then I got sacked, we don't need to talk about that. And then I go back to Devontae Adams again for like the third play in not that many plays. I just went two receivers left here, play action. Pocket holds up just long enough and he's on his X factor at this point, I'm pretty sure. Pocket holds up just long enough. I'm letting this fly no matter what. And even if he wasn't on his X factor, I'm letting this fly no matter what. Once again, I mean, they just give him this one-on-one look. And it's like, your DBs are not good enough. Now actually, this DB 22 actually makes a pretty good contest attempt on this ball, but he's behind him.  Just great, just great work. And then this one, this one is just me reading it out better than like they could have guarded it. Again, they've been running a lot of like show too high and then rotate into single high, right? And that's exact. And I was like, well, if the safety comes down, this might have actually been a too high look and I think it just might have been covered too man. But the problem was like, there was, the only way they were gonna not, the only way they were gonna stop this play was if they had like someone out in the flaps, like specifically out there to guard that. Corners kind of shading inside a little bit, but then he drops to like prevent outside. That's weird. You see how he's like, he's kind of lined up inside here, but I guess he's lined up outside. He looked like he was lined up inside from that angle. So he's shading outside. He's trying not to give up outs. He's trying to like force you inside, I guess, but as soon as he opens his hips, Adams breaks, they kind of run into each other and this is just wide open once again. It's not even like a one-on-one look. It's just like you did not have someone protecting me outside here properly. And it's a good throw, but I mean, yeah, I mean this is textbook. Like as soon as I saw that they did not have someone coming down and out, I'm like, yeah, we're throwing that no matter what. Just no matter what. It was like that is one of those that you just, you just know that you're letting fly. You just know, right? Trying to see if anyone else would have gotten open here. Not really. That was like the only choice. Renfro was not open. Maybe Renfro would have been open if I hadn't just like ripped this immediately, but that's not a throw I would have been comfortable with. Michael Mayer, I would have had to have put back shoulder. That would have been a tough throw. This was like the only throw that really made sense and it was perfect textbook. And then it wasn't really anything else. I don't think worth noting. We can look at the first quarter too. We threw a pass to Michael Mayer that was a touchdown. All right, so he's lined up on the right side.  Oh yeah, I mean, this was, yeah, this was a guarantee. This was, I mean, Jesus Christ. I mean, they're just giving me the middle of the field. I mean, that is, you couldn't have drawn that up better in a lab. Honestly, this throw is kind of late. I should throw this now. I don't, what is 49? 49 bites hard on that play action. Jesus Christ. That's horrible. I mean, I have the ball. Like I clearly have the ball and he is flaring and he's like, oh no, man, yeah, that's rough. Yeah, he's what breaks this play. But even if he's there, I don't know if he's dropping far enough. Like I guess the idea is that he can carry but they don't have like, this is still middle of the field open. It's just easy. I don't think Devonte would have been open. I don't think Renfer would have been open. Jacobi Myers would have been a reasonable attempt here. He could have gotten a couple of yards but what down was it? It was first, okay. So like, yeah, I could have done. I could have done whatever there. Play before was a 17 yard throw to Devonte Adams. Again, how many catches did Devonte have this game? Looks like a lot. Oh, yeah, this was the third down. Oh my God, this was so, was it third and three? And I wanted originally, I think I wanted Mayor or I wanted Hooper. I wanted Hooper on this like drag route.  Maybe we can hit Hooper and maybe if they, maybe not, maybe I can hit Mayor. And I think Mayor actually would have been open but I did not have enough time to get this to Mayor. This was where I needed to get this throw out now. Mayor was not open at this point but the throw needed to come now. I knew that Devonte was about to break.  And it's just perfect. I mean, he just settles right, right in between two guys here. This is straight cover three and he just sits perfect placement right between that hook curl and right between that deep third. I mean, that is a perfect route. Straight up a perfect route. We don't need to look at my sacks. I'm cool. Here's a 31 yard completion to Devonte. Oh yeah, this was, was this another third down play? What are the sticks? Yeah, third and 10 too. Yeah, so I had a wheel route with Jacobs which I thought about hitting that but I was like, well he's got someone sitting on top of him. So even if he catches this in stride, he doesn't really have a good chance to make someone miss here as opposed to Devonte who is like running away from zone at this point, which Jacobs doesn't really pick him that well but I was like, I was like, Devonte is running away from a zone here and he's got someone to set him up. Like he might have a lead block here. It's like he is probably our best chance to run away from defense and pick up a first down but actually our best chance was, is that Mayer? Mayer was wide open. He probably would have gotten it for sure but Devonte, Devonte is great, makes this play. This corner needs to get cut. This is disgustingly awful play because Jacobs I thought blocked him here. I thought that's what happened. I thought Jacobs like chipped him and he like just couldn't recover. No, he's right there to make this play and he just freezes. Where's that one dude on TikTok that's like pissed on your legs, scared to make a play? Like that is this. You have him dead to right three yards before the, two yards before the sticks. Like even if like he pushes you forward a little bit, you probably stop him short of the first down. I should have hit Michael Mayer but he just stops. He just stops. That is embarrassing. That is embarrassing. And then Jacobs does get a block on 28 which allows him to pick up a big chunk more of yards there. But man, that is embarrassing. Letting up that is horrible. Horrible. All right, are there any other plays that we didn't look at that I want to look at? Sack pick, sack pick. Yes, I mean, all my throws are either sack, pick or touchdown at this point. So, hey, we won, scored 30 points, easily our best offensive performance thus far given we did play Chicago. But it's a good start in the right direction and I don't exactly know what the schedule is going forward but maybe it gets easier, maybe. Maybe it gets to a point where we feel like we can keep the trend of good offense going even if it doesn't get easier. I think we can do it. We're like that. But I don't know if this is frozen or if it's just taking a while to load. So I think that pretty much wraps things up. I'm gonna get ready for Monday night football, watch Cowboys Chargers. I'm gonna take the Chargers to win this one. Neither defense is that special but the Cowboys have kind of not looked great the past couple of weeks. Their secondary does not move me right now without digs. They don't really have a ton of big plays on either offense or defense though. They still do have my capacitance and their defensive line is still very good. I just don't think they quite haven't, yeah, I lost connection to the Acer, of course. What, watch the game won't have saved. That's what's gonna happen but we'll see. Thank you all for tuning in and until next time, I will catch you guys on.


Good afternoon, welcome. Thank you for joining us for this session. I'm glad to be here with you today. For those of you who don't know me, let me introduce myself. I'm Woo Jin Han from Dreamace. Dreamace joined AGL at the Silver Level in 2017, and we are specialized in developing and customizing in 14-month software platform based on AGL and virtualization technologies. And we've been widening our perspectives, ranging from embedded technology to web platform. We've got some interesting topics to show you during session, and we are really excited to share some progress with you about the interactive copy system, as well as web platform. We've been working hard on this. We've got some information to share. If you have any questions, feel free to ask by asking the text chatting system during the speech. Our members, including chief technology innovation officer, Won Ni, are ready to answer your questions. So let's get started. Today we are going to start off by talking about motivations. Last year we shared our experiences about the AGL based container technology applied to mass production of real estate entertainment products. As seen on the screen, most of applications such as music player, home screen launcher, etc. were implemented by AGL. And Android applications such as navigation, game, streaming players were able to learn in virtualization environments by using Linux container. After doing this project, we've been researching and discussing with several clients. By doing so, we decided to widen our perspectives to interact with the system. As we all know, interactive copy system has many advantages ranging from holistic user experiences in the car to cost saving. And especially the number of screens in the vehicle is increasing and the size of screens is getting larger and larger. So it is very important to handle these screens effectively. We think that our container technology should be one of the good way to meet today's needs and interests. The second motivation of this topic is about ecosystem, which contains both Android and web. Our previous research and product has shown possibilities that Android ecosystem can be contained in the AGL system by using container technology. On the other hand, several players in the AGL has worked on web platform to make web applications run effectively in the AGL system. For example, Chromium to Wayland and web application manager, etc. We also believe that web applications can play an important role in extending ecosystem of AGL. We've been working closely with our partner, the web browser team of neighbor, which is one of the top internet service provider in Korea and Asia as well. We've been focusing on how to utilize existing web apps, how to make web developers not hesitate making web applications for vehicle and packaging applications, and how to build web application store in the AGL system. Now let me go to our approach and current status. The first thing I'd like to show is the concept of our system architecture. The blue colored part is standard Azure architecture, and the green colored part is the Android container by using this container. And yellow colored parts shows web platform parts, which is also isolated by this container. Under this concept, since both Android environments and web platform environments are isolated by containers, passengers will be able to use individual applications, regardless of open systems and screens that they use in the car. Furthermore, container has many advantages compared to hypervisor in the aspects of scalability, complexity, and cost saving. Online current activities regarding web platform in AGL, our approach is full browser based web platform to pursue utilize existing web applications. I mean both HTML5 web apps and principle web app contents. I will explain it in detail later. Currently, we are focusing on the infotainment parts. Although instrument-closed expert group has been working hard on cluster parts, the strict conditions such as real-time processing capability and high robustness level are required by car makers. That's why many players have been considering real-time OS such as QNX and integrity with hypervisor solutions. So we've decided that we are going to consider to use hypervisor to isolate cluster parts and infotainment parts until cluster related functions in the AGL will be stable and mature. In the meantime, we will raise degree of completion regarding multi-contain architecture as seen on this page. Now, let's take a look at demo. This is a copy system powered by container and web platform technologies. So 2C is to believe, right? It is the product of our advanced developments. So shall we start? In the past century, automotive has been evolving as a means to help people move quickly and safely. Interior parts also have been evolving rapidly together. Which enables people to receive driving lessons. Now you may see the potential inside. So let's examine this in a little more detail. We've developed this prototype by using Qualcomm's reference board. This board supports three kinds of Qualcomm's next generation automotive SOCs, and we've chose SA8155, which has enough resource and computing power to implement complicated interior copy system requirements. We took AGL 8.0, the Happy Hollywood, and Android QBSPs for implementing AGL and Android container system. Most of Azure applications were developed by using Qt, whereas Kenji UX framework is used in cluster application. Although our goal is to complete 2B architecture in the right side, the blue colored one, currently implemented architecture is shown in the left side of this page. In cluster, AVN and RSE is running in the Azure system and Android container runs in the separated environments. In other words, we've completed all other functions that we planned, but AGL and Android container has not been merged yet. In order to allocate each container to each display, we've been trying to configure multiple direct rendering manager. Unlike the other SOCs we've experienced, it was a bit complicated and there was trial and error, but we think the 2B architecture will be finished in the near future because we are now taking technical support from Qualcomm regarding this issue. As seen on demo, navigation screen of AVN display can be played in the cluster display. We think this kind of multi-screen use cases should be one of the main point of differentiation of the interior copy system. Cluster application consists of two layers. Layer 1 presents cluster functions and streaming server is located in the layer 2. In order to stream the Android navigation screen, we've developed streaming client and server by modifying motion JPEG protocol. We've also modified the surface freeing during Android media framework to implement streaming client function. So when the swipe event is detected, the streaming client starts to capture and send navigation screen to streaming server in the layer 2 of cluster. The specific area of layer 1 is blanked. We can see navigation screen of layer 2 through this blanked area of layer 1. From our experience, motion JPEG is more suitable for stream protocol than H.264. But we think these could be alternatives to do this job and we have a plan to research more to better perform on this end screen use case. The concurrent audio control is one of the important issue in the interior copy system. We think that audio output data from the interior container should be gathered in the control unit in the host OS and could be managed and sounded by the priority policy. This is because there are several sound that needs to be sounded first, while other sounds should be dwindled or muted. For example, when the FCA, the forward collision avoidance system, detects collision threats and warning sounds should be sounded. Other sounds such as music or navigation should be muted to make passenger recognize the urgent situation clearly. Our approach is to implement audio server and clients by using purse audio. To gather audio data from Android container, we've modified audio freeing of Android media framework. Like the end screen case, we think there could be alternatives to this job and we also have a plan to research more to better perform on this audio mixing use case. Now let's go to the web platform. Proof of concept development, we call it phase one development, is completed in the environment as seen on the screen. The Qualcomm SA8155 reference board and AGF 8.0. At this stage, our goal is to explore existing web application store can be applied to the embedded Azure system and to find out whether existing web apps can be installed and operated well or not. We found out that many web applications use APIs or functions of latest Chromium versions, which Chromium 68 included in the AGF does not support. The first tour of our partner can be performed well in the latest Chromium version. Plus, there are many progressive web apps, but Chromium 68 does not support PWA. So we decided that we replace Chromium 68 in AGL with Chromium 83 and fix several bugs in the Chromium 83 version, such as video failure and starting browser, etc. In addition, we found out that there are many web apps that needs keyboard input to use their full functions, and keyboard is also necessary to use web app store for searching web apps. By the way, current web platform of AGL does not support IME, the input method editor yet. So we will decide if virtual keyboard for both web app and Azure applications are needed. One more thing we want to share our experience is that we've brought the existing web app store to Azure system successfully, and web apps are packaged by widget format, which is the same way of packaging Azure applications. Both HTML5 web app and progressive web app are packaged in the form of WGT, the widget, and these widget files can be downloaded and executed well in our system. This means that existing web apps and web app stores are able to jump into the Azure ecosystem. After finishing the phase one development, Dreamace and Naver is decided to proceed more bold idea. This is what we call a browser driven web platform. The first motivation is to invite web developers into AGL. We've been developing browser to AGL interface to communicate with JavaScript library, which web developers are accustomed to. By doing so, there's no need to know about AGL for developing web app while Azure framework and its service layer is fully supported. The second motivation is to utilize web app store. Since our partner, the neighbor, has their own web app store and browser. So we think that it is a good way to deploy their experiences on browser and web app store. In the aspect of internal copy system, we assume that each passenger want to use each screen individually. So we've decided that browser driven web platform is isolated by loose containers, in which we have expertise. Here is a system architecture of our proposed web platform. As mentioned in the previous page, it is based on Azure framework and service layer. Dreamace is proceeding with Azure interface and vehicle info service while neighbor is in charge of the browser and web application store. It is also web developer friendly approach. Dreamace supports web application store that both Azure file apps and progressive web apps can be registered in form of a widget packaging. Let me tell you a little more in-depth about vehicle information service in the next page. We think that it will be great if web applications are able to use device information of car and control device functions. This could be a strong motivation for web developers to jump into automotive web ecosystem. Recently we've been engaged in W3C community and one of the members from the vehicle information service specification suggested us to review vehicle information APIs and its open source GitHub as written in this page. After reviewing this, we think that using this W3C vehicle information service specification helps us to save a large amount of time and resources while we are able to get stable and matured implementation. Now we are working on applying this vehicle information service specification to AGR service layer. This is the concept of web based home screen of our proposed web platform. It is fully browser powered HTML5 home screen launcher. It is under design now and will include many interesting features ranging from the floating widget to the push notifications, etc. Here's the quote, a dream you dream alone is only a dream, a dream you dream together is a reality. To build strong ecosystem, we've been collaborating with prominent players in the automotive industry. First, in order to make stable hardware with performance, we have been working closely with continental automotive Korea to make this all happen. In the aspect of web ecosystem, we've been able to work with real team of neighbor, and it's been our pleasure to work on this great technology. Also, we are going to be collaborating with automotive auto service provider in Korea. Wiper provides on-demand mobile car wash, Karam provides on-demand car maintenance, and Icha provides real-time wallet parking service. They have been actively providing services through the iOS and Android, but since this November, we've started to expand their service experiences to web ecosystem. We are going to be doing innovation together and we are looking for potential partners continuously. So if you are interested in this collaboration, please do not hesitate to contact us. Now let me go on to plans. First, the safety issue. As mentioned earlier, although the prototype is made of multi-containers is functional, it is highly recommended that cluster part and infotainment part should be isolated. So we've decided that we are going to consider to use RTOS and Hypervisor to isolate the cluster part and infotainment part until the cluster really functions in the AGR will be stable and mature. Second, reducing hardware dependency. We've been leaving various kinds of hardware platforms from different SOC manufacturers by the request of potential clients. When it comes to applying our container-based copy system to new platform, it was needed to keep integrating on the newer Azure versions and Android versions and fix and improve some components regarding different device drivers. So if we are able to find a way to reduce hardware dependence, this definitely helps us to save a large amount of time and resources. The third, dynamic resource allocation of multiple containers. Under limited hardware resources in the weaker, it could be a good way to manage resources of containers in different situations, such as concurrent usage of media or game in the internal copy system. We've been studying this topic by collaborating with universities in Korea. Finally, container-based upgrade. We think that container-based upgrade functions will enhance the advantage of using containers. To do this, we are going to be doing research about optimized file system to update each container of the internal copy system in the aspect of memory storage and update speed. For example, upgrade file system on this container could be a good way to achieve our goal. I just want to review that we've seen today. We introduced our advanced research regarding Azure-based copy system with web platform. Under this multi-container-based architecture, since both Android environments and web platform environments are isolated by containers, passengers will be able to use individual applications regardless of operating systems and screens that they use in the car. Unlike the current activities regarding web platform in Azure, our approach is full browser-based web platform to pursue utilizing existing web apps. We've ported web app store to Azure system and there's no need to fully understand how Azure works by supporting browser-to-Azure interface layer. Web developer friendly. We also found out that PWA web app can be installed and operated well in our system. And vehicle information service specification of W3C will be applied to Azure system to make web applications control automotive devices in the car. Finally, we've been working closely with our partners to build Azure ecosystem. We are always welcome to discuss future cooperation. Thank you for all coming our session today and I hope you are interested in our proposed internal copy system with web platform as much as we do. If you have any questions, please let us know. And here is our field of interest. Although our prototype was functional, but we know we have to go the extra mile to be ready for production. As we all know, there are many brilliant players are working on the Azure community. I hope we can have a cooperation opportunity in the near future. So that's all. Thank you again.


Six meter it goes north and eight meter is east. So it is a distance of three and a half, right? So it is still two and a half. See the stream. Something can happen. Point to that edge. It's good about that edge. Not this, this, this. Okay. Lesson here. Okay, section C now.


that make me feel to make them claimers to begin with. First of all, it's my opinion, it's not bad hat.  I found this, I like it, I took it. Pretty much all the stock was created by having multiple bad pizzas at multiple places that had like reviews that say is the best pizza at that place, whatever. So that's what started. Who am I? I'm a Brazilian Pythonist that moved to Scotland for the weather. I'm from Sao Paulo, a 20 million people city. So I moved from these into Dundee, 140,000 people. The fourth largest megalopolis in Scotland. Home of the Dundee cake and the birthplace of the marmalade. So again, from this into this, that's two minutes away walk from my place, so just around the corner. I'd like to define what is a good place to eat, but I'm not. We all know what it is. Stock is not about that. The stock is about, like, you can go to any first place in any restaurant site review, it's going to be nice. But I'm worried, I want to know about what the 119th or the 314th sites are. And that's what this site's about, it's how to find them. The first idea would be, like, stars and ratings. And if you get something like this, what does this tell us? Well, pretty much nothing. Is the first restaurant a McDonald's or a very good, picturesque place? So we really don't have to judge that. Also, if it is a McDonald's, you get, like, five stars for a lot of people, it might be an interesting McDonald's, you see, it might be the best one. So what does that tell us? It's just that restaurant A, Scarrow likes a little bit more restaurant A than Peter Sam likes restaurant B. Ratings just not so bad. And all the rating sites found that really early on, as any kid just from the kindergarten would say that ratings is not going to work. You have to use the lower bound of Wilson's core confidence interval for a Bernoulli parameter, of course. So another good metric that you might try is the number distribution of ratings. So if you get that, it's good. And for the first restaurant, you have, like, pretty much four reviews. It might not be good, but it's not nearly enough to know that. For the second restaurant, you got what's called a G-shaped curve. What they call it in the edge high, where you have a lot of terrible reviews, a lot of excellent reviews. The thing is, people tend to vote for the very good and the very bad, and the average is just, you won't vote. It was all right. So that helps, but doesn't solve the problem. So now for something completely different. What's in the algebra? When is that true? Yes, dirty clothes.  That is for Wikipedia. They make me write that. But yes, matrix multiplication also between after home short. So a funny thing about matrix multiplication is that depending on the order that you do, that's pretty much all the math that you're going to need for this talk. You get different results with different dimensions, and that's pretty much based on the order that is. So the trick here is that in order to multiply two matrix, the middle values, that is, the columns for the first matrix and the rows for the second one have to be the same number. And three is when you multiply them, they pretty much vanish. You might as well use a pit emoji and that's going to disappear. So that's something really nice. Back to Sao Paulo. Sao Paulo had a lot of immigrants. In the turn of the 19th century, it was the population of the city. 35% were Italians, 11% were Portuguese. That's almost 50% of immigrants in the center. When we got close to 1940, it was almost 700,000 Italians, a lot of modals. At that time, it is for the state, the second one for the state, it couldn't find for the city, but it didn't set my time around quite a time. That's nice. But the population at Sao Paulo at that time was less than one million people. So there's a lot of Italians there and a lot of immigrants there. They created a food subculture pretty much close to what you have in Italy as well in New York, like the New York Sao Pizzer. We do have a Sao Paulo Sao Pizzer. And that's important because it comes to my hypothesis that people that have the same background judge the things, judge food, use the same standards.  If you don't have it, you're gonna judge differently. And here's me trying to prove it. That place, the first one, it's not even the top places I've never been there, but look how tight the Gaussian is. People agree quite well that it's a good pizza. If it was a big pizza, it's gonna be lower, but it's gonna be as tight as well. The second one is the best pizza place in Dundee. And it's awful. But look how close the Gaussian is. And Dundee has 10% of people from abroad. And each one has a different idea of what a good pizza is, and don't have a pizza that's defined by Dundee. The same thing happens here in Bilbao. The first one is just, it's not even, again, I like the middle ones. This is the first restaurant that I went here in Bilbao. And it's a solid four, but again, a very tight Gaussian. A lot of people know that's a four and they vote for four. The thing you went in Edinburgh, it's a fish and ship place, and people there have a good fish and ship. Fish and ships. And also very tight Gaussian that you have from people that would not. Thus, solving my hypothesis. Proving my hypothesis. Well, it's not really a talk about diet science. It is just a yuck shave. I don't want to go in the Gaussian rampage, analysis rampage. So this is just based on the hunch. And this is the hunch that what can suit a good place to eat is based on an individual background. And that's deeply based on the individual, makes that if you agree for multiple reviews from someone, you tend to, the chance that you're gonna like another restaurant that they like will be much more likely.  No food. Suppose that I have this, I got it somewhere for a friend. A huge list of users that gave an amount of stars for a restaurant. And I have a huge list of those. So you have for the 500 top restaurants in Bilbao, for example. What could I do with that? Of course, load on the matrix. And I create a matrix that is restaurants for each row, users for each column. And the value in the middle, value for each position is just how many stars they gave it. And we call it M, just M has dimensions restaurant users. So the same way that we could remove dimensions, we can also create them. So if I have a matrix and I wanna create two new matrix out of there, if I can make that equality, I can generate any size that I want with this extra dimension that I'm creating. And that's quite useful because suppose that I create a matrix that's really an approximation matrix C. There's an approximation of that matrix users that I got from real data. But this is theoretical, theoretical one. I created that. And that one is the result of users or a matrix of restaurants with some categories that I choose. And a matrix of users with the same number of categories. If I can multiply them and create a matrix C, that again, it's a good approximation of matrix M. I can pretty much classify the restaurants and the users in these categories. And that's pretty much what non-negative matrix utilization is. It's a way to create weights for automatically generated categories. You don't know what each category is from beforehand. Sometimes they don't even make sense, but sometimes you can get pretty much a rough approximation of what they are. And our result is pretty much a matrix for restaurants that can tell me oh, this restaurant has these categories in different weights. And I can try to match those two other restaurants and try to find the restaurants that I might like based on that one that I like. Oops, I should have done that. So the non-negative part of it and that's something I should have to say, it's just, if you keep it all positive, greater than or equal to zero, it's a lot of the ways of generating C because one of the most usual ways of doing that is the least squares. And that's gonna be easier if you do just with positives once. And okay, it's very good because stars are zero to five. So how do you generate C? This is taken from this book, this Programming the Collective Intelligence. It's a slightly older book. I guess it's 2010, probably. But it's one of those great books that when you return to them, from time to time you find different stuff. It's all done in Python. It's probably one of the most fun books you're gonna have in your bookshelf. So this is just pretty much his algorithm for that and I just left the comments because that's pretty much all you have. All you need. So first you start R and U of just random values and then you start iterating. And for each iteration you calculate how different C and M are and then if they are the same you just exit but that doesn't happen to like realize data. But then you fixate one of the matrix and integrate the weights for the other one. Then you fixate the other ones and try to integrate the index and the weights for this one. Calculate again and try to improve it and see what it gets. And that's pretty much how I got him. This is a hard part because I can't, I have no view over from here. So this is pretty much like proof of concept. What I did, this pretty much it just loads a bunch of import. My focus in the right place. And this loads the data that I got. No, it didn't. Okay. If I wanna run the no negative, let's just say it just runs on here. But I've just run it. So I got an M matrix that's, so it is 11,000 users long and 500 deep. From that they got the rest of the matrix. It is just the bottom of it with the categories and weights that they have. And also the weights for the users. So if you look at here, you see that user zero voted for restaurant zero and so far there's a five here. This is a very sparse matrix. And the more connectivity that you have, the better results that you have. And it makes sense, like you try to find people that vote likely, likewise for all the residents. If you have like just someone just voted once, it does not gonna help your data that much. Um, here I do a little bit of the pretty fine of that. So, okay, so, pretty matrix. So this is the restaurant one. So I have restaurants here. Each of the factors there are row though, the URL. And that goes on for 500, for the 500 restaurants. Here have the users. And I've just transposed the matrix. So it does make it more likely. How are we in time? Okay, okay. Nice. I didn't start my timer. So here's again users ratings. A lot of them is just like people that voted once so they don't really influence stuff. Someone with an empty name that I found that just goes here. And here I do have some pandas magic to get people and show them. I can get a little bit back to this, but the thing is I get the restaurant that I like. And this is how they look. Ah, no, I should have disabled controls, yes. Okay, so here's how they look. So it has a huge factor four, which we don't know what it is. A larger factor zero and factor three. And that's pretty much it. So we might want to find similar restaurants. So this is just the basic find similar that I found. It's very trivial. It's not even the best way. The best way is probably using some linear programming to find it reducing the difference. But here I have an INC, which is a solid four.  So it's huge four. And from that you can get an idea what that category might be, because they sell code tapas, code pinches, and croquettes on top of toast. So that might be an indication of croquettes on top of toast kind of market. Costco also huge four and a large zero zone. Well, that might be an interesting restaurant to see. It doesn't have that much F3. The same restaurant, that's a good one. And La Deliciosa. And that's a weird one because I first looked at it, it didn't seem that interesting, but that's something that has a huge four. It has a good F zero, some M4 and M2. So that's something that this program, this way of thinking just suggests a new place to look at, El Vuelvo Frito, that I didn't like it. This is just searching the similarity between the curves on the rest of the same data. You can also do that through the users. You have factors here that are correlated to some factors. So if I find who voted a lot for factor four, factor four might be people that likes this kind of factor for restaurants and they might be interested to find what they like. So I got to users, this next thing. This P63, P63 votes a lot for F0, F3, M4, and F4. That might be an interesting person to see what has they voted for. It is an eight and it's kind of tough. And then from them you can try to find familiar restaurants that people like. And again, it in Zini, Cafe Barbibaud, that's a different one. It's Soco Beria, Casco again, VWogia. And that's it. Oh no, no, no. It went back to the beginning. It's changing. It stops following. Thank you. Oh yeah, no, it's the right place, sorry. And that's it, thank you. Questions? Questions? Hi, you ended up with nine categories in your example. Was this by 10, so what was this? The study? You ended up with nine categories or so. Oh, it's F0, F9, so it's 10 categories. Oh, I chose 10, it's just a random value. I tried with 20. It got the results. The more categories you add, the closer they get to the more similar the matrix are. But also it makes harder for search and makes less sense of each category. I got a balance about this. I tried with five and I tried with 20. And pretty much 10 was like the sweet spot and that's pretty much what I used. When you run it, I don't know if I showed there, I was about to, oh, sorry, did it, oh, I'm not marked off. So yeah, I can get the next, go away. So this is 13 directions, 15 directions, sorry. Oh, it's not that, oh, just 10, totally not that. So they are calculating it. I should be able to put in something in a while. So it's a start, so let it go, like I'm gonna show you how to put more questions. Thank you. Oh, sorry, oh, there's one question. So having done all that, is it true that you can sort of tell how much you're gonna like a Cesar restaurant just by looking at the shape of the, and if you just go on Google reviews or something like that. I know that I've been walking with you and I've seen you do that. Did you see, oh yeah, this one looks good, just by quickly looking at it, you get a feel for it. Yeah, yeah, just the shapes, the general shape of, it can tell you if it is a good, it's a huge, from looking at the shape, you can clearly see if you got the J-shaped, and depending on how large is the terrible one, it could be an indication that there's a lot of average and poor ratings that you're not seeing. So that's something that I try to avoid. Seeing as close as we can see to a tight Gaussian, it's usually a good sign. But even though a large one might mean just that the restaurant is not really stable, really doesn't always do stuff to the same standard. So even though it might be an interesting or not place to see, but it does tell you some stuff. It is still running. Okay, thank you. Over here, I can't just, so I do not. Here's how they do, the results come from. This is the difference, and as it goes, it reduces until it doesn't reduce anymore. And that's pretty much the amount of difference that I have between my C matrix that is the theoretic one to the actual one. So with five, that thing doesn't go that low. If 20, it does, but not that much, and doesn't improve the results that much from what I saw. Again, not data science, it's just a guy with computer and transparent place to it. Thank you.


The next piece is a short and very beautiful video by Rosanda Kurka who is an Arts Link International Fellow a few years ago and she made this beautiful video a couple of years ago so it's a little, I think outdated now perhaps, but what I wanted to show with this video is just the beautiful relationship she has with the land that she's inhabiting, the community in which she's based and the artistic community across the country. She's based in Moldova, in a rural part of Moldova. The video is in Moldovan so if you're Moldovan's a little rusty you might want to be able to be closer to the screen to read the subtitles, but Rosanda Kurka. My name is Rosanda Kurka, I'm from the city of Khartop, Raiono, Cimnišlija, Republica Moldova. In 2015 I carried out cultural projects as the director of the Arts Center for Cultural Projects and in March of 2021 I'm the director of the Moldova Independent Cultural Sector Coalition, a national advocacy platform in the field of culture. As a coalition, we work to improve the working conditions for the independent cultural workers and in addition to that, for a few years we've been doing civil activism and in the middle of my native city. Even though the need to coalesce the independent cultural sector for 10 years in a row, we managed to do it only now due to the crisis. Independence has always been a crisis, but the pandemic has made it worse. I wrote a petition to the Ministry of Culture through which I sought social and medical protection for independent cultural workers, to which the State Secretary replied that the majority of the independents are engaged in the public sector and that no one actually helped us. I couldn't answer this answer because there is no statistics or database about this sector. In response, my colleagues from the UBERLIFT association launched the Fund for Solidarity project. As part of the project, they offered, through an open appeal, small grants of support to the artists in trouble. And the Arts organization today tried to pay off all the collaborators at the time, over 20 people. I was among the few who managed to adapt the projects to the pandemic and had resources that we could share. Even though this was a sporadic act of solidarity, we realized that if we didn't become vocal and visible, nothing would change. And the work of a team, with very different people, in non-hierarchic structures, is quite complicated. At least for me, who got used to making decisions on their own, or together with my colleague. And it's a lot of work. Yes, a lot of work. In a few months from the foundation of the coalition, we managed to implement more international projects that predict the cartography of the individual cultural sector, create an online database and organize more public discussions to see the importance of independent culture. About the solidarity between artists in the foundation of the pandemic, and the need for a legal framework that offers social protection, about decentralizing the culture and creating an internal mobility program that offers access to culture in rural areas. In addition to creating and improving the financing mechanisms of the sector, we will insist on creating the legal framework for the partnership of the civic public, which predicts that the public institutions will be involved in their spaces. We will collaborate with experts, artists and organizations similar to the countries of the old age to create mutual media. For example, in the year we will find in the residence more artists from Belarus, because you know the situation with the freedom of creation there. But it is also about politicians, and bureaucracy, and things that are thought to do the necessary work. We will provide valuable resources for time and emotions. The logic of the political class has never been based on the political creation that offers sustainability and resilience to all sectors. And this is what we want from the campaign that we started. We want to develop a cultural sector in a resilient environment. In addition to this, we will coordinate together with other two organizations from different regions of the country, the Rural Platform for Art, Art in Makala, which takes place in 10 villages, including the Martial Arts. For a few months, we organize classical music concerts, documentary film projects, community theater workshops, artists' books, paintings, ceramics, tapestries, photography, documentaries, DJs, performances, etc. It is a very beautiful and very dear project because we reach our goal in the community where it has not been reached in other contexts. It is a project that gives us hope that we will change the attitude much faster, that we will be able to create a community ready to act solidly in the face of the challenges that will confront them after the change in the media. Unfortunately, Moldova is at the top of the country with a risk of drought, and here everything is massive, I hope that we will learn to appreciate, protect and reuse the resources. Until then, we do not need thermal leaders and resilient communities. That is why I work together with my colleagues. Because that is what I see the senses. And to find the senses in the 21st century is a great happiness. My name is Kruzanda Kurka, I live in the village of Khartov, and I am an agricultural artist.


T F N N headline news update Welcome folks. We have the Dow Industries up 374. We get the Nasdaq up 119 S&P's are up 28 and a half that gets you a gain of 1.4 percent in the Dow Industries as well as the Nasdaq 1.1 in the the S&P 500 gold contract gold contract up seven dollars and 30 cents trading at 1350 an ounce if we go over to that gold contract take a look at it talk about a little volatility We get it in spades out here folks. So we had in the gold contract.  What do we do today? You get all the way up to 1358 You give it up on price again, and guess what it comes right back bottom line right now You're at 1350 you get the volume inside it again this gold contracts confirmed ABC structure up You're talking about a 14 oh one price projection big number out here notes and bonds We take a look at the note in a bond market also high volatility out here in both of those markets You had the 10 year right now up six ticks the 30 up 13 if we get open We take a look at the 10 year what you're gonna see out here also in the 10 year is that this 10 year got Overtize and you have volume bottom line the 10 years at 127 16. You've done 1.89 million contracts You're taking out this swing that has been laying out here at 1.82 So you get another ABC structure in the way up and this baby will get this 10 year up to about 120 about 130 and At 130 folks, we're gonna be breaking the 2% mark right now You're 2.05 that is gonna bring the 10 year on its way down to the 1.73 mark pretty big number And of course we at the Fed meeting today. You get the statement tomorrow Big action King dollar King doll just won't give it up bottom line is that yeah, King dollar also were running out at highs here Bottom line King doll looks like it wants to go after the high of last week And we'll see how that test shakes out, but that's how King dollar is that trading out here Stay right there folks the next 60 minutes of trading coming back as well as numbers after the close and we have Our man mr. Rob McEwen and coming on at 315. We got take a look at the silver market What do you have with the silver market out here? Silver is also caught a bid silver got over the price point I've right into the price point of Friday's high of Friday was at 1512. We hit 1508 Silver also has the volume behind the move come right back folks


Back to the circumstances of how you guys end up playing against Villanova University in Bob Shaffer. Yeah, well, one day I decided that we had not much opposition to play against in practice because our team was so good, so I thought maybe we could play scrimmage Villanova and I called Al Severins and he said, yeah, we'd love to scrimmage him because we're going to be playing against a team that has a seven footer and it would be a good experience to play against Will, so that's how we got to them.  Al Severins didn't tell them we were going to scrimmage him and none of the players knew they were going to scrimmage that morning and we walked in and they saw a seven footer in the name of Will Chamberlain with some young men and they got really excited that they were going to meet somebody who was going to be a wonderful player in the future. So give me an idea of how that game turned out, was it very competitive or how much? It was very competitive, we played six quarters and we didn't keep score except my managers kept score and we did very well against him. I don't want to embarrass Villanova but it was a great scrimmage and they were all excited to meet Will and felt that he was a wonderful person and handled himself beautifully with them and we beat them of course. What were some of the players on that Villanova team if you recall? Well I recall Bob Schaefer and it's hard to remember some of them but they were all excited that they could meet Will and the Overbook team and it's something they would remember for the rest of their lives and they even made some stories in the newspapers about these scrimmage. Was there any talk about them attempting to recruit Will when he got there or was just a scrimmage for the purpose of helping them? It was a scrimmage for the purpose of helping them but Villanova as well as a hundred and other twenty schools, one bit of recruit Will to go to their colleges. What's that about colleges offering you a job at coaching if you were to persuade Will to go to their school? How much truth is there to that? Well there's a lot of truth to that. I was going to go to Kansas with Fog Allen and Fog Allen wanted me to be assistant and Will would come and unfortunately Fog Allen had to retire because he was seventy years old and I decided not to go at that point. I was only going to go because of Fog Allen. The legendary Fog Allen. So the things changed. There's also a lot of talk about colleges offering Will, money, treasures. All of the colleges offered something. I even wrote in my book that I think the outstanding sports players in the colleges should get paid or should get some compensation for playing for them. Either having their parents come to the games free and providing transportation for them or after they practice giving them something to eat they had to pay for their own food at that point. And I didn't think it was fair and I really think that those outstanding athletes should be compensated some way. What's the compensation and support? What do you know about that? Well I can't really talk about it in national news but all of the colleges offered something and Kansas was one of the teams that by their boosters enticed them to come. Okay? It wasn't the best school in the country but it ended up, I met President Reagan in the Rose Garden and was selected as the best school in the country after 15 years of being principal. I think you're struggling with the things you're doing. I think it's terrible. I think they're taking money away from the teachers and the programs and the kids needed and whatever they're doing. What would you do differently? I couldn't do anything differently unless the governor funded the schools and I as part of the organization administration and teachers would get the teachers together and go to the governor and say this is what you got to do. List A, B, C, D, E and help us out or else all these kids are going to go down the drain. Okay. When you answer this continue to look at her, I think she's much more attractive to look at than me. Otherwise I tend to think I'm kind of handsome myself. Well you're both nice looking people. There was a fellow by the name of Warren Wyler who was the coach before me and in fact I played it over Brooke and he was my coach and I was on a team that won 20 straight. He was 15 Jewish kids on the team. We won 20 straight and lost the championship by two points to a fellow who's a dear friend of mine and lives right upstairs for me. I was playing basketball in 1947 and he was in his 50s then. So I would say he's about 110 years old now, wherever he might be.


Welcome back to Boston Mass Choose. It's Red Hat Summit 2023 here in Boston. I'm Paul Gillen joined by Rob Screcci. A wall-to-wall coverage of Red Hat Summit and the Ansible Fest, which is integrated this year, all about automation. And today it was all about the Edge. The whole keynote this morning was really focused on the Edge. And one of the speakers was Bernard Eshman, who Chief Technology Officer at the ABB Process Automation. ABB, of course, the industrial automation giant. And Edge was all the talk today. What was your, talk about the nature of your relationship with Red Hat? Yeah, obviously, if we look at the Edge, it's the place where all of the data from the industrial plants that we automate are. And typically the automation system that we develop and that we provide to our customers is dealing with all of these tons of data that are produced in millisecond cycle times for operational needs. The Edge is actually the point where we get the data securely from the automation system to bring it together with IT data. And that way enable smart decision-making by customers about things that actually reduce energy consumption, improve productivity, improve yield, optimize maintenance schedules and things like that. So the Edge is really the point where the IT world and the operations world from the automation system come together. And you have, ABB has a product, Edge Genius, that uses Red Hat technology. Tell us about what that does. Yeah, so if you look at the Edge solution that we provide, it, number one, securely and safely extracts data from the automation system because you don't want to operate, you don't want to create a disturbance to the real-time deterministic operation that the automation system has. So if you've got the data out from the automation system, then you can visualize it, you can actually extract certain types of data, you can actually summarize data, and you can run applications either directly on the Edge or in the cloud or on an on-premise platform to do something useful with it and to help the operators in these industrial plants either to optimize their plant or the whole enterprise. What types of industries are mainly or are really looking into Edge Genius as you start to roll that out? Yeah, the industries that we are serving are the so-called process industries that typically operate continuous processes. So think about power plants or chemical plants or cement plants, but you can also think about things like ships moving around that actually continuously operate electrical equipment and things like that or offshore wind parks is an example that I used in the keynote this morning that is also using that technology. Yeah, so reliability, availability and security have to be at the forefront of everything you're thinking about because these are pretty significant systems that you're integrating with. Right, and many of our applications are in critical infrastructures like energy or water where you don't want to have any shutdowns but even in plants that are not that critical for infrastructure, shutdowns might be extremely expensive. If you think about a petrochemical plant, a cracker is supposed to run eight years in a row without interruption.  I myself in the previous role, I was running a semiconductor production in ABB and it's clear if you actually disrupt the production process and send people out, there's a lot of silicon in the diffusion ovens that you just throw away. So a lot of these applications make it very expensive to be interrupted. On the other hand, there's also a high need for safety and security because if you think about an exothermic reaction in a chemical plant that is controlled by the automation system, you really want to make sure that the automation system doesn't create an explosion creating a hazard for either the environment or the people or the plant. So I mean, you've got to outline a lot of scary scenarios there. What challenges does that present to process automation, which is your focus? Yeah, if you look at process automation, typically customers want to combine two things. They want to have something that is rock solid that they can 100% trust on doing the things that we talked about. But at the same time, there's a need to bring in new technology to actually evolve the automation according to the market needs. Many of these plants are built for very long lifetimes. 50 years is not uncommon. But during this timeframe, the markets change completely. And so the automation system that actually needs to cater to these market needs need to change along. So the challenge that our customers have is how do we actually reconcile these obviously somewhat opposing needs? Stability on one hand and evolution on the other hand. Now we do that by actually separating the inner core of the automation, which hopefully is not changed very often from the parts that are actually taking data out and allowed to optimize, allowed to change things that are not directly related to the inner control loop, where you can even deploy machine learning, artificial intelligence and other new technologies in order to have an outer environment where you're able to change things. This is exactly the environment that we would like to use these containerized microservices that we can deploy flexibly either on the edge or in the cloud. I think it's really interesting. I actually worked for Petrotrin and I actually could tell from the smokestack, you know, it was the cracking of being efficient or not efficient based on the color of the gases coming out and burning. So I definitely understand I think where you're coming from. I think what's really interesting is you look at a lot of these manufacturing facilities, they're building software, but not a lot of software in many cases. They're doing a lot of off the shelf bringing in your automation. How do you really, because a major theme that's been going on for the last two days is really simplicity. How does what you're doing with Red Hat really help them from a simplicity standpoint with edge? Yeah, the simplicity mainly comes in the form of managing the applications on the edge or the related applications that are running on the cloud. Because if we want to evolve them in an environment that is not used to frequent changes, we have to bring in automation and we have to bring in the capability to efficiently evolve the microservices. And this is exactly where the Kubernetes environment where OpenShift and Microshift play a major role. Is it a fully managed service that you offer with that? Do you manage the Red Hat components or does the customer actually manage that for them? Well, typically we manage it for the customers, but you also have to see that customers in this space are very diverse. Yeah, and so you've got big companies that have a huge competence in doing things on their own, but you also have smaller players that actually depend on service providers doing a lot of that. Real time is an important part of process automation and of course a lot of new technology has been coming forward in that area. What are some of the challenges of enabling decision-making using real-time data? Yeah, so if you look at real time, you've got real, real time and real time. And if I look at what is in the inner loop of the control, that's typically on a microsecond, millisecond basis where you want to have very deterministic behavior. So you don't want to have a lot of things that are not 100% controlled. But you're creating time series data that you can then extract from that environment and then the real time becomes less of that real, real time. But it's still having lots of data in a short timeframe that needs to be analyzed. So while the loopback influencing the process might not be within milliseconds, still you need to deal with the data that are coming with that frequency. So yesterday we were talking about ecosystems and ecosystem partners like yourself. How has it been to work with Red Hat on this solution? Yeah, the interesting part is if you've got a cooperation between two partners, number one, the best base for a good partnership is if the two partners are complementary. And this is really something that plays out extremely well here because while we've been the number one automation supplier for the process industries for the last decades and know the customer requirements and these specific verticals very well, actually Red Hat comes with all of the horizontal knowledge from the IT environment and bringing these two things together in the appropriate way to adapt what is available in terms of technology, managing containerized microservices in a flexible way in the diverse hardware environment in the specific environment that we deal with in our industries is actually a good match. The second component I feel is that once you start something new, you have to invest. And both parties actually have to be ready to invest. And maybe the success doesn't come within days. And I felt that there's really a good willingness on both sides for creating a win-win and do the necessary investments to finally succeed. And it would seem that it also has to be long-term given the life cycle of what we're talking about with these facilities. So, and I would say that this partnership has to outlast almost the technology to that certain extent. Do you see that AI is creeping in to the process automation?  But now with everybody in looking at, okay, how do we get the data out to use it in different ways? I would assume that that's part of what you're looking at with ABB as part of the, to provide to the customers. But they're also looking for it for other reasons. Maintenance and facility management and staffing and things of that nature. There are actually two interesting aspects in your question. One is, and two buzzwords, cybersecurity and AI. So let's start with cybersecurity. Conventionally, obviously systems that were built 20 years ago could not even consider the kind of risks that they are facing today. So the only way to deal with current cybersecurity risks in those systems is to as much separate them from the internet as possible, which in some of our customers actually creates a complete block to connect anything to the internet. Exactly, agaping the system. But of course the future systems that will deploy in the automation plans, they will have to be secured by design. They will have to be zero trust so that each component can only work in that system if it's actually properly authenticated and has the proper mechanisms to make sure it's securely connectable. Now, independent of that, the edge solution that we were talking about is exactly the means to securely extract data from the automation system even if it's a legacy system. And it's no problem as long as you can make sure you've got basically an information diode. Information is only going in one direction. It becomes more complicated and more involved once you allow the link back into operating something in the system. So that's the next level of complexity. Now, coming to the AI, that's something that you obviously typically can't run very well on constraint devices directly in the process. So especially learning, that's something that you need to do outside. That exactly requires to extract the data from the system in a secure way and bring it to a place like the cloud where you can actually apply these machine learning mechanisms. And that's coming more and more. And the interesting thing will be how we will be able to bring the two worlds together. Yeah, I'll give you one example. One of the things that we are working on, especially if you look at the fact that the current generation of operators in these industrial plants is getting into an age where more of them retire and a lot of competence moves out of the door. So one of the things that we would like to do in the operation of these plant is to provide as much support to the new operators to be able to deal with particularly unforeseen situations. Because all of the usual stuff is handled by the automation system without human intervention. The humans are needed for the unforeseen stuff. So helping them to understand if something happens, oh, this has already happened three months ago. And another case where something similar happened was six months ago. And actually what the people did at that point in time was this. And then, oh, you can actually simulate what you would like to do now and what we would propose you to do now based on the digital twin of the plant. And only then apply the change. That's a chain that typically requires data processing, artificial intelligence, machine learning that is going on outside of the core automation system. But that has a very tight interface of it. Incredibly complex set of tasks and challenges that you face. But we're glad that ABB has you to drive this process. Bernard Eschermann, Chief Technology Officer at ABB Process Automation. Thanks so much for sharing your expertise with us here and teaching us so much about process automation. Thanks a lot for having me. We're going to take a short break. This is Paul Gillan here with Rob Shea at Red Hat Summit 2023. We'll be back in a moment.