r discussion mr. Cardin thank you um so again I would defer to the administrative team certainly if uh there was a lot of concern about um getting what needs to be done in the next three weeks done in three weeks um then I'd be happy to hear uh a recommendation to um to do things more slowly but uh I have not heard that so uh I do have to rely on our administrative team to make the determination we we have you know 21 days left um can they get what's what what's done done in 21 days this is not never going to be perfect this is always going to be a very difficult model to implement I don't really see how spending more time is going to mark going to going to more than marginally improve it um there are obviously are a lot of details to be worked out there's a tremendous amount of work to be done over the next three weeks but I'm not sure two additional weeks four additional weeks um some districts are doing you know 10 additional weeks is going to really buy us much uh except perhaps a resurgence of uh of the virus in which case um we'll never get our kids and our kids will never see their teachers so uh I'm going to rely on our administrative team uh and if you know but by by our next meeting on the 10th if they determine that things need to go slower then then then we'll we'll hear that recommendation then but uh for now um I don't hear that so I'm going to oppose this motion thank you mr schlickman thank you um I I want to remind the committee that the people of Ireland voted for us to make the decision we shouldn't be sitting here waiting for a decision to be presented to us to be ratified and all through this process all summer I felt that's where we've been going is that we haven't had the debate we haven't had the discourse we haven't weighed the options uh in one of the subcommittee meetings uh it was just said matter of factly well if you wanted the best educational outcome in the safest model you'd be going all remote and I think that's exactly what we should be doing this is a very very difficult model to pull off a very difficult one because what you're doing is you're scheduling two different school districts in one set of schools it is extraordinarily difficult the way to pull this off the way to make this work is to start with everybody in place as a baseline in the hybrid model then as you open seats based on the highest needs and move on down the list to move people into remote you start off in a team teaching model or you have two teachers working together so kids depending on how they split hybrid to remote they maintain contact with their teaching team so there's a continuity if there is an emergency it's easier to revert back to a all remote model if that's the way we started rather than starting in a complex hybrid model and then trying to package everybody back into into a remote learning plan the logical starting point for a district in terms of moving kids into a hybrid program somewhere's around fifth grade I think that in a high school it's much easier to start with and stay in a remote model I have a hard time seeing how kindergarten kids are going to benefit from COVID restricted teaching on an all-day model yeah we want to get them into the buildings we want them to acculturate we want them to make connections but I don't see them walking around with social distancing and face masks and doing the kinds of things that happen in a good kindergarten under this model people here have been working very very hard incredibly hard to try to pull off the impossible and it's not easy to do and it's taking a lot of time to do there's still uncertainty hanging over it and there are a lot of parents who are uneasy because of all this uncertainty if we want to do what's best for kids if we want to do what is the safest thing then we start off with a full remote model and then gradually work kids into a co into a hybrid model expanded out as the situation permits and then if there's a problem we can very quickly bounce back into an all remote model keep everybody safe and do the best thing for kids and that's why I'm supporting Mr. Hayner's motion. Any more discussion? Dr. Allison Ampe? So if we want to talk about what's best for kids it depends on who you're talking to if you talk to the American Association of Pediatrics it's having the kids in school face-to-face with their teachers even with masks on if you talk to a whole lot of parents in Arlington it's the same thing. I don't agree that the remote schooling is necessary by default better than the hybrid model. I think that's taking a lot of assumptions about what's going on and how much kids get out of face-to-face time versus remote time and making those assumptions and and going from there. I agree with Mr. Cardin that I am listening to our administration because our role is to make policy decisions not to run the school district. I mean we're trying to make sure that the decisions made are good ones and that they have the necessary information and have thought about the right things but we're not supposed to be running the school district. I feel at this point in time that the hybrid model remains the model that we should go with and that's also in this setting that we're in about as good a place as we could possibly be in terms of COVID with the number of cases that we have both in our town our town and in our county and in the surrounding communities and by going to me it was a decision point where our three options are going full-time which I didn't think that our buildings or staffing would support going back hybrid so part-time in person or part-time remote and then remote by giving parents the option to have remote I mean to to opt for remote that allows the people who are really concerned or have family reasons or whatever that they feel being in the building is the problem and then by having a hybrid option we're able to offer those other parents the choice that they feel is best for their child. Okay now I forgot where I was going with this. We okay I totally lost my train of thought. This is a problem with Zoom meetings. I think that we're offering we need there are definitely concerns about what's going on in terms of the remote schedules and stuff. There's kinks and things that need to be worked out but that doesn't mean that they can't be worked out and by putting everyone in a remote schedule we even if we choose to do a phase in later because we realize there's some things that we have to work out first we're able to do that if we just go totally remote which it sort of to me sounded like what Mr. Hayner was proposing we won't be able to bring kids back at all so anyway I'm going to vote I'm going to vote against this motion and I'll see what the administration brings to us next week also. This keys. Hi I just want to make everybody make sure everybody understands our teachers want to be in the building like that is the primary goal to the point where we are involuntarily transferring teachers to remote positions that's happening this week. We want to be in the buildings with the kids. This is not going to work I mean just from great we have a sample model from one teacher can you scale it up to the whole school like do we have the staff to cover it and at some point we actually have to plan we don't just walk in on the first day of school and everything magically happens it takes a lot of planning and every teacher in the district right now is looking at September 18th the Friday before the kids start and we're going what if we don't have staff in place by that day are we going to get told oops sorry can't open the building readjust everything over the weekend to start remotely we have to plan and it's like I said this to the beginning of August like if you're not sure we can do this give us a chance to start successfully and then you know if the staffing's in place we can set a date and move in to a hybrid but I don't know what you expect the staff to be doing in these next nine days when everyone's just sitting around going do we have enough task do we have enough TAs yet do we have enough TAs yet is yet like there's got to come a point where you say this is the goal we all want to get there we need more time and we need more time it's not that we don't want to go into the building it's not that we don't think that's the best thing for the kids it's that if it's not structurally feasible and I'm not talking about minor little scheduling issues and you keep talking about having all this time we start Wednesday 21st might be where kids come but like we have teachers starting the school year not knowing what they're teaching like at some point you just have to say we need more time thank you okay any more any more comments middexton so this is this is um this is a challenge for me um I I've heard um you know a lot of the concerns about the scheduling the staffing um at the same time um as an early childhood teacher as much as kindergarten is not going to look like it has looked um I have real concerns about what kindergarten will look like on a zoom screen as well um and then thinking about a phased in model without you know specific dates makes it really hard for me to support this motion um I guess you know when I'm thinking about is if if the administration felt like a phased in um remote um starting remote and phasing in at certain levels um was something that was recommended I would consider supporting that but um I I really think that particularly the elementary students need to be starting um in the classroom in a hybrid model from from the beginning um so as the motion is now I'm not going to support it either all right anybody else okay uh so um motion by Mr. Heiner seconded by Mr. Schlickman middexton no Mr. Cardin no Dr. Allison Ampe no Mr. Thielman no Mr. Schlickman yes Mr. Heiner yes and I'm also a no okay um let's see so is that the end of your report Dr. Bodie have we covered that are we ready to move on yes we're ready to move on okay um the consent agenda all agenda all items listed with an asterisk are considered to be routine and will be enacted by one motion there will be no separate discussion of these items unless a member of the committee so requests in which event the item will be considered in its normal sequence approval of warrant warrant number two one zero three nine check date will be tuesday august 25th 2020 in the amount of six hundred and eleven thousand six hundred and two dollars and seventy three cents so move second uh middexton yes Mr. Cardin yes Dr. Allison Ampe yes Mr. Thielman yes Mr. Schlickman yes Mr. Heiner yes and I am also a yes uh policy second read files ebc bedb jjk and the added ebcfa Mr. Schlickman I move adoption on second read with the amendment to ebc supplemental second uh discussion saying none um middexton yes Mr. Cardin yes Dr. Allison Ampe yes Mr. Thielman yes Mr. Schlickman yes Mr. Heiner yes and I am also a yes um subcommittee and liaison reports and announcement community relations Mr. Heiner nothing on the committee to report but I have a question uh will community relations be the one that's doing the selection of members for the uh superintendent search committee I don't know if that should be discussed now or the another meeting can you take that could you uh bring that to the superintendent search process committee meeting I'd be happy to thank you with Mr. Schlickman great this superintendent search uh committee I would think is charged with that task okay Arlington High School Building Committee uh Mr. Thielman okay Ms. Morgan so can I interrupt for a sec yes sorry I see your little blue hand yeah um did Mr. Schlickman did we pass the face mask um policy yes we did okay sorry thank you Mr. Thielman uh you know we're moving along at a good pace and uh we had some good news last week with some uh savings in our budget were we able to do some good things for the schools on Dr. Boat he wants to add anything Dr. Boat do you want to add anything at all about the building committee no I think that you're absolutely right that we had some very good news on our 90 percent about um cost uh cost proposals and so we were able to add some things back that we thought uh really uh were a positive for the school both aesthetically in terms of sustainability was an important feature on that um some of that had to do with triple glazing is not exactly um uh something that is aesthetic but it certainly is going to make a big difference we also were able to to change the the flooring on the on the entrance areas on those floors to a terraza that was very positive but there there were a number of brick things the committee agreed on it and we were able to take off quite a few things off of the alternate list but at the same time keeping some of some cushion for later on should we need it so it was it was a very good news where we are and we're moving along I I do know and for those that have been listening to the pile drivings that have been going on in the front of the high school that is going to improve fairly soon so that's that's good news for those that are sitting in a building shaking and but that will end yeah and parents had questions about soil testing and uh air quality and that sort of thing and we are we are updating our website with information to answer specific questions so but it's moving along well and we're very excited about it a lot of good news there uh liaison reports announcements future agenda items um okay so the last item in our agenda is executive session to conduct strategy session in preparation for negotiations with union and or yet non-union personnel or contract negotiations with union and or non-union in which if held an open meeting may have a detrimental effect conduct strategy with respect to collective bargaining or litigation in which if held an open meeting may have a detrimental effect collective bargaining may also be conducted motion to go into executive session so move second and we are not we are going to adjourn from executive session and will not be coming back so uh roll call vote uh miss exton yes mr cardin yes dr ellison ampie yes mr sealman yes mr schlickman yes mr hainer yes and i'm also a yes


In Israel Gaza, the Hamas has basically rejected Israel's proposal for ceasefire, which included 35 days of ceasefire, the release of many of the hostages. We don't know exactly how many, but many of the hostages and the release of thousands, hundreds, if not thousands of terrorists from Israeli jails. The Hamas has rejected that. They're suggesting 135-day ceasefire, the release of many thousands of prisoners, and ultimately the withdrawal of Israeli forces from Gaza completely. Israel has rejected that plan, so far there is nothing in place. There is no ceasefire. There does not seem to be much progress towards the ceasefire. There are still 136 hostages being held in Gaza. Now, of the 136, Israeli intelligence is pretty confident. The 32 of them are already dead, and another 18 are very likely to already be dead. So of the 136 hostages, probably 50, something north of 50 have already been killed or have died under captivity. And the Israeli intelligence has indications of, I think, which hostages are likely to be dead and has notified families. This is not unexpected.  And as I said at the beginning of this, Israel had to act as if this was the reality. It was the only way it would do what is necessary in order to bring Hamas, you know, to destroy Hamas, to do what the Israeli politicians have promised to do.  Israeli defense minister has basically said that they will continue to clean up Hanyunas with the remnants of terrorists, but they intend to move into Rafa. Rafa is the last large Hamas stronghold. It is a large population center. Now with all the displaced people, probably about a million people live in Rafa. It's tiny, it's very small, very dense. I'm not sure where the Israelis are going to ask the civilians to evacuate to. There's not much space left in Gaza. But there's no question that they can completely destroy Hamas without going into Rafa. Of course, what will happen is as they evacuate civilians, Hamas will evacuate with them. Hamas leadership will evacuate with them. So we will see how long this takes. Israeli commanders are still talking in terms of months. Netanyahu gave a great speech today. I don't know if you saw it. Maybe it was yesterday, 18 hours ago. So maybe it was a late night here, but today is real time. He gave a great speech and committed to wiping out Hamas, committed to all the way things, committed to re-educating Palestinian children in the future. In the post Hamas Gaza Strip, committed to Israel managing the security of Gaza Strip forever, or at least for a long, long time. All of it, good stuff, good stuff.  It was a good, powerful, strong speech. Can he live up to it? Don't count on it. Don't count on it. You know, maybe, maybe after all they've probably done better than I would have expected so far. So, although those ceasefires in the middle, released 100 dostages, so that's good, but probably prolonged this more than necessary. All right, let's see. What else do we want to do? Yes. So that is Gaza. Israel has not taken many casualties in the last week or so, really almost none, which is surprising and interesting and suggests maybe that they have been quite successful in immobilizing or neutering the Hamas, Hamas fighters in Gaza. So they need to continue. They need to be more aggressive. Israeli troops are in the underground tunnels. They are hunting down Hamas leaders unsuccessfully so far. They're looking for the hostages unsuccessfully so far, but they are inside the tunnels. There is tunnel warfare going on in addition to everything else, but they are talking about expanding the operation to take over, basically to put under Israeli authority the entire Gaza Strip, which needs to happen if they're going to win this. All right, moving on. I mean, they're still back and forth in Lebanon, but nothing really is evolving there yet. I think Hezbollah in Lebanon is clearly wants to avoid a war, but it doesn't want to be completely quiet. The Houthis still attacking ships, whatever the U.S. is doing to the Houthis continues to be ineffective. I will point out a new story yesterday morning about the Houthi court, the court of the Houthis in Yemen sentencing 13 homosexuals to death for the crime of being homosexuals. Quests for Houthis are going to be challenged, maybe challenged in the support of the Houthis moving forward, but maybe not, right? Maybe not. Don't let facts and reality and your own self-interest intervene when you can hate on Jews, when you can hate on Israel, and when you can, I don't know, when you can pursue sacrifice for the greater good.


What's DMP's mentality? Man, it meant a lot, man. He expect a lot of us, expect a lot out of us. And he's unwavering. You know, he's unwavering. And it's the commitment that he puts on a daily basis, day in and day out. And just what it means to a man. And it makes us want to go that much harder for him, you know, and it's just a fun plan for him. I could definitely say that. The last two years, how have you seen the evolution of what he's done and maybe some of that other places kind of filter into this?   Gotta do a lot of the different things. And I think it helps the whole defense as a whole. And so I'm really, really grateful to be able to learn under his leadership and just grow as a player, you know, and just not always being pegged at this one point, at the one point here, one point there, and just being used in different multiple ways and just really challenged myself to be a better player, you know, weekend and week out, day in and day out, and continue to always learn the game of football in different ways that could be ran. Do you feel like the defensive culture is getting better? He said that it was trending in the right direction. Absolutely, without a doubt. And that's something, a standard that he said early in the off season. And he said, you know, he talked about how, Atlanta, as we all know, has been known for being an offensive team for a long time. And he has a passion towards changing that to where when people think about Atlanta Falcons, they think about strong physical defense being played. And that's what we're trending towards. We're definitely trending towards that. And that's not saying anything bad about the offense. That's just us trying to improve on defense, focus on the things that we can control as a defense, getting better weekend and week out. And I think that's what we had definitely have done, especially on this latter part of the season. No matter who the opponent was, we always showed up and just put our best foot forward. And of course, the things we can be better at, but you'll be blind to say that you don't see the improvements. You know, you don't see the way we play, you know, more than just the play calls or just the execution, such as the style. And you know what I'm saying? Like, even if we don't get the job done, you know, you know, somebody tried their best, you know, and that's the encouraging, encouraging part in the standard that they have set as a coaching staff in the leadership group. When you look at, you want wins over losses. Without a doubt. Over the last five, you've allowed 21 or less in five consecutive games. Kind of what's been the cause of that? And is that a sign that maybe you guys are getting better throughout the course of the year? Points are really all in there. Yeah, absolutely. Without that, definitely a sign of us trending in the right direction, you know? Like you say, in this game, you can always get better. You know, it's always room for improvement. I don't think we could do better. But to be able to totally ignore the improvements that you are making, that just won't be right, you know, so you have to take note of where we are getting better. And that's definitely a part of it, not giving up points. Of course, you don't want nobody to get all these yards on. You don't want nobody to get in the red zone. But you know what is the NFL? At the end of the day, if you hold them down, points win games, right? So if you hold them points down, you're giving our offense the best chance we can to go match and get more points, you know? So that's our challenge. No matter how much the offense score, we need to keep the opponent under that. You know what I'm saying? So that don't mean if we score a 50 now, we let them go get 40. But you y'all did what I'm saying. So we just challenged ourself, man, weekend and week out. And I love the way the defensive trend in and loving the way coaches trust in us with opening up the playbook and just letting us just go hunt. You process, and are still processing it, I imagine. Yeah, man, it's definitely a tough situation, man. Had a pleasure knowing DeMarc for a couple years now and traded jerseys with him last year when we went up there to Buffalo. But to see that happen to him, it was just some tragic, you know what I'm saying? And can't do nothing but send support and prayers and stuff like that. But I mean, it was even hard to speak on. It's one of the things where playing this game, we all know it's risky. We all know the risk you take going out there, we say that until you see it, you know? You say that until you see it. And for somebody to have to go through that and live through that as I speak on it right now, it's definitely our opening. But at the same time, I'm hearing up a great news. So sending out some well wishes to him from love and to him and his family and just really, really, and his teammates as well. That's how to be a traumatic event, experiencing something like that for somebody you go to work with day in and day out. I couldn't imagine seeing one of my teammates go through that or player from a coach, you know what I'm saying? Or especially for his family that was there in the stands, how to see him and I'm glad it was able to be with him. But the man, tough, tough situation. And we all just going to keep prayers up for him in hopes that he pulled through to make 100% full recovery. How did you get to know him? It's kind of personal. But we got close family ties, extended family ties through relationships and stuff like that. How do y'all get prepared for Sunday and that? Y'all going to play Tampa? I mean, it's been games where y'all going to playoffs and they're out. And it's a big rumble and it's a little flip this time. But I know it's going to, y'all still take this game serious. Oh, no, without a doubt, man. Without a doubt. Like I've been saying, you know, since unfortunately we was knocked out to playoffs. I mean, every time you get the chance to play football in NFL, it's a privilege, you know? You got to treat it as such. So I mean, the guys, we had a great week of practice. We had fun. We are where we are.  So we're ready to go out there and put our best foot forward. You can't really worry about too much how they're going to play it, what they're going to do. So whatever way they want to go, whatever, the game got to be played. And we're going to play hard. We're going to give our all. And we're going to definitely take the pride in the logo that we were on our helmet.  And we're going to go out there and do what we got to do. It feels like it was like 500 years ago. But what happened the last time you guys played? Does that make your mind at all? Specifically you? I mean, you know, it's definitely inevitable of that. I mean, just somebody had been talking about it every week. You know what I'm saying?  And just keep going, keep working. And you know, and everything else, take care of yourself. How do you?  And you know, there's some plays that you want to hear. You want to back. But at the same time, I'm proud of some of the growth I have made in this defense, you know. Growth that I feel like I made, you know, as a leader, just as a man, just trying to get better every year I play, you know. And that's what I just want to stay the course of that. And just keep answering the call. You know what I'm saying? Be somebody that a team could depend on. And I feel like I fit the bill.  And I'm excited to, you know, push myself to that max, whatever that may be, you know. And while you're playing, you know, I'm the type of guy to believe that you never do reach that. You know what I'm saying? You never want to find a day where you always be like, all right, I've figured it out. You know what I'm saying? Because you never figure it out. You're always learning and you're always trying to evolve, always trying to be a better player. But up to this point, you know, I've, you know, I can say with confidence that, you know, I'll give my best every, you know, weekend and week out.  But at the same time, I know there's a lot of improvements, you know, so I'm excited to finish the season strong. That's really what my focus on is just, and then when that, after the last game done, turn around and assess and, but at the end of the day, my job is to do the best I could do, you know. And the best I could do is being one of the top players of my position in the league and consistently on a weekly basis, somebody that always got to be accounted for, make an impact and whichever way that may be, there may be a big statistical game or it might not be, it might not be a big statistical game, but I had impact across the game.  And I think at the end of the day, if I'm the best me, I could make the people around me better. So I feel like the best football is definitely still out there for me, but my most focus right now is just finishing strong with a game left. And thoughts on the white, green event, then going to the Hall of Fame finalist, he was looking for you. Yeah, without a doubt, man. You know, definitely should be a lot. You know what I'm saying? I'm definitely fortunate to be able to spend time with him and then play him out, team him into the Super Bowl with him and have had some memories and just be able to be in his presence because growing up, he was somebody that I was watching and stuff like that. So when we did become teammates, it was surreal a little bit. I can remember it back. But I mean, don't wish nothing but a good congrats to him. And he should be locked in there, you know what I'm saying? So special guy, a heck of a competitor. And he made a way for us, a shorter defensive lineman, to go out there and just have success. Even though he wasn't in a different style type player, but he represented it for us, you know what I'm saying? So he represented early for us and went out, had a great career, hall of fame career, and I'm fortunate to be able to be his teammate.


Okay, so we are here. What is up, you guys? Welcome back to another one. If you are new to the channel, I am Goldpony. And we are now at Gateway Classic Cars. You see Xander behind me here. Piffing up his race red Mustang.  Not only are we gonna be hanging out with YouTubers, this is actually a consignment shop. So kind of, I don't know if you called a shop or not, but there's a bunch of cars for sale. We gotta check them out, see what prices we got, and let's go shopping for another car ride, don't we? Let's get started. Okay, so like I was saying, you guys, the show hasn't actually started yet, but I wanted to take you around Gateway Classic Cars here because there's price tags on all of these cars. So, like I was saying, let's maybe look for a second car for the channel, why not? Just having some fun here. All right, so $79,000 is slightly out of my price range, but $69,000 Camaro looking freaking good. I'm looking for more of a $10,000 range of below, so let's see if we can find one of them. And I'm noticing here, you guys, we got Chevy, Chevy, Chevy. Maybe this is a Chevy road, but I feel like this is a whole lot of GM going on in this place. Oh, I was right, here's the most thanks thing is clean. Not too bad, $68,000, $32,000. It's on hold, maybe somebody maybe is buying it. All right, got a few Porsches back here. Definitely want to check these out. $59,000, $72,911, $59,000 once again. All right, you guys, so I think I found my budget car right here, under $10,000, $8,995, $1989. I got off of Romeo's Spider Quad with the single exhaust, just slightly off-center, just to make it nice and unique. That's hilarious, actually. Usually it's, you know, side or side or dead center, but it's just slightly to the left. Jifter's essentially on the dash, that's nice. There you go, you guys, that is the car. That's my $9,000 car right there. Got another car coming up the ramp right now here. Let's see what I do. Since I have to show all the S550s here, Kona Blue, Royal Crimson. I actually love this look, the black roof wrap with the black wheels, black emblems. Oh yeah, and it appears to be super charged, good grief. Dang, I bet that thing's a rocket. Spoiler delete, you guys, I actually never seen this on one of the 18s and up. And another 10-speed, 10-speed, 10-speed, 10-speed, 10-speed, 10-speed, and East Coast Jeep SRT. There you go, buddy, give you a shout. But you guys, so you know it's a big deal when the door comes out before the car does. $4,000, wow, that's a good bit. That's a gold coin in here, so. It's quite a bit of horsepower. That looks like money. It'll cost out, how are you looking this side, good? Slow down, slow down. Hold on there, we're running on the, you're good, you're good. Oh my gosh, it works. All right, so since I haven't showed you guys yet today, Brown Mama is here in the flesh. Just hanging out in the back with a little bit of dirt on the wheel. That's so good. You're in the front? Nah, you're in the front. Let's take the front off.  How many times have I had my front off? Yeah, for the next one.  Drink it out. It's getting close, you guys. I think it's gonna make it. Rich, you guys, somebody's stealing my car. He's taking it away with it. Told you guys it would make it. Made it. Meanwhile, it's just there. You guys know, I gave statement of permission to steal my car. Thank you so much, I appreciate you. We're going right to Acre right now. We're trading, right? We'll see ya, at once we're gonna trade. Okay, I got the Black Mamba now. Yeah, I like it. See you guys later. All right. Dad, you're better at this than me. Do you think I could put that engine in Stagnosaurus? We'll make it fit. Yeah, we'll make it fit. You can do that after. Yeah, we can do it in my garage. Yeah, absolutely. Cool. A little bit. Straight to the wheel. Good. Straight to the wheel, you got a straight to the wheel. It's gonna be a tight fit. You're good straight, though. Just keep on, keep it straight. I don't know about tone up, but you're good here. Move up the Black Mamba a little bit. There's a couple at you. Mamba. This thing sounds like a beast. All right, I told you guys, we traded cars. I am in the Black Mamba. This is my new car. Looks good. It's got purple everywhere. My favorite color, I'm a big Ravens fan. All right, I just want to say, I am sorry. Kona Blue, whoever owns this. You're probably not gonna be leaving unless you're getting in your car through the trunk. But dang, I didn't even notice. There's red seats in there. That looks good. All right, so I'm gonna end this video by saying play support Xander13. Be sure to subscribe to his channel. He sacrificed his tires. In the end, super fun day. Hope you guys liked those burnouts at the end. Stagnosaurus is still inside. There's actually a, that thing. The trailer is blocking the exit there. So I guess I gotta wait a little bit. But do appreciate you guys watching this video. Be sure to like the video and subscribe. And I will see you guys in the next one. Stay gold.


The study investigated how cell-level gene expression dynamics produce population-level phenotypes. They found that after prolonged exposure to glucose, the absence of two proteins, Gal 3p and Gal 1p, resulted in delayed induction of the GAL genes, which was both long and variable. This delay was caused by limited resources available for protein synthesis, and was further exacerbated by randomness in the process. Additionally, they observed that a sub-population of cells induced faster than the others, resulting in a bimodal distribution of expression levels. These findings suggest that cellular memory and resource constraints play a role in determining the response of a population to a new environment.


So this is the first in my series of Dr. Sadler's chalk-and-talk Where I'm going to answer some questions dealing with philosophy or the general politics or maybe even literature who knows what That are coming to me from the EU users or the users You only get two minutes to talk on VU. So I'm doing this in YouTube so I can do some of longer Answers to and more involved answers to these questions. So the question that I got to ask Which I've got on the chalk board is Do you believe in love at first sight and this is kind of an interesting one. There was also a follow-up question which was Doing in soulmates And then there was a follow-up question that to soul does that having a soulmate mean having a perfect marriage? All of those are things I'm going to follow up on in other videos. So Wow Think about what we can talk about this. Is it possible? Can you follow up with somebody at first sight? Yes, I think that in fact you can't we're to see Talk about it qualify that a little bit because can you fall in love with it and with somebody in All the ways we think about it But here's another question is it really desirable to fall in love with somebody at first sight is that Something that we should hold out as a norm and then we do hold it out Because we see that coming up in a lot of romantic films and a lot of stories and songs So, you know the question has to be is this really a good thing we do we want to have people falling in love at first sight if it Isn't impossible And I do think that it is possible Something that I would like to talk about Before we go into that We talk about love at first sight doesn't have to be psyched Be carried out through some other sort of medium think about the pervasive power Or a sense of smell or a gustatory senses Could those be a way of getting to know somebody so to speak and being attracted to them Immediately, I think yes as a matter of fact odors Smell sets are deeply associated with those things that Tie in as we're talking about about the kind of love that we're thinking about love at first sight desire traction Appreciation and openness to the other person a Infatuation that makes us want to be with them all the time Now it's kind of interesting. It doesn't have to be sight Couldn't be made in words thought Think of Cyrano and Berger Again, you know, is this anything scientific? Of course, we're using literature This is the way we do things in the humanities. We think about things through examples through Great pieces of art great pieces of literature pieces of philosophy great You know in the historical situation people think about Cyrano diversion What happens there Roxanne falls in love with somebody, but it's not the young man who's Mouthing Cyrano's words as it's Cyrano and she is falling in love with him despite his super long nose Through his words through his thought through the character. That's being conveyed through all the other things that come in And are conveyed through language Now something like that happened to me I'm going to tell you the story that very quickly move on to these other my fiancee my wife to me She and I knew each other from high school. We lost touch for a very long time There's a whole story there Suffice it to say we began writing to each other through electronic Progress as far as you're saying Google chat, so it was real time and fell in love with each other without the either one of the Other knowing or even I think fully suspecting that the other might be falling in love with them Through the words of the other person through what words can reveal Sometimes words can actually reveal more of you in the heart than any Appearance can in an appearances. Yes, they're often deceiving but actually, you know The eyes are the window to the soul and the face does reflect at least with people who aren't Conner's does reflect our feelings and our desires. We follow one with each other through words Was it love at first sight? That's hard to say that that's where we have to get into these clarifications You have to think of kinds of love CS Lewis wrote a book called for loves and he was drawing on previous people's work and I'm not saying that this is the only way to think about about these different distinctions about love But I think that it can be quite useful And he talked about four different kinds of love and he used Greek words for them Do the Greeks always mean this when they use the word euros or not? Now as a matter of fact, the word it's used in Plato's symposium to mean more or less the same thing as But it takes on a different meaning in other times and he talks about affection story, you know the sort of affection that you have for Those you spend time with those you become familiar with You can have affection towards Things as well and towards animals and affection towards each other talking about desire Eros encompasses a lot, you know, you think for example of boyfriend or girlfriend, right? That's that's an example of arrows or when you see somebody very attractive walking down the street and you feel Something that we would call infatuation or lost or or sexual desire towards them. That's arrows as well friendship feel you here you have something that's Quite different than arrows and friendship is a very important kind of love um You're not looking to get the kind of thing Somebody who are with eros and you are with affiliate, but it is based on some sort of commonality As a matter of fact, all three of these are based on commonalities Or on something that you derive from the other euros seeks what it lacks as Plato says in the other person um Then there's this sort of selfless love that the latin's called caritas. We get the word charity from it And the Greek word for that is agate that will turn us using the new testament often It's called, you know self giving law or selfless law or oppression law, you know by a lot of different names um I prefer just to call it love and what's different about this Is that it's not based on what the other person is providing you or what you're getting out of the other person or Even necessarily an appreciation of the person, you know Aristotle talks about filial and he talks about cases where you're not actually getting something out of the other person But he feels sort of a sense of admiration for their their good qualities of friendship in terms of Virtue and you might only be of use to them or you might be pleasant to them They're not getting as much out of you as you are from them Selfless love This is the kind of love that that christ portrait that is often seen as being in spite of the qualities But you know that way of thinking about it. I I would argue just thinking that it fully appreciates What the other person is And it may be in spite of who they are, you know when my Wife-to-be loves me despite my faults It's not just because she feels desire for me Or affection for me or because we have all these things in common that constitute friendship I I think that it's also because she she makes a genuine effort to love me For what I am Even though I am Okay, so now Think about this question about love at first sight What kind of love are we talking about? usually we're thinking about romantic love we want to say that's Desire that's erotic love is Is that all there is to romantic sometimes the movies make it seem like that But really, you know what the movies that really really portray that make it into the porn movies, right? the movies that show lovers coming to learn about each other To care about each other What's going on like feeling is developing as before perhaps even I've got to know they feel affection for each other. I don't think that it's just design Now the love at first sight part, but what does that tell us that tells us that love at first sight? is actually incomplete You can't possibly take in the totality of the other person And who they grow to be with you over the course of time in a moment to Kenny So love at first sight here's where we qualify Love at first sight Cannot actually mean the fullness of love and include all of these things Could it even include what we call conjugal? It could lead to it, but it's not it It's just the first bloom the first blossom of the season You might say And here's the question that I've asked you in return What do you want love at first sight before? What good is it going to do you it gets you into things But what really matters is what you do after the first sight after the first first encounter In the elevator who knows what else now the first shared lands That's where love grows and this leads to the question about soul mates You would only really notice somebody really is your soul mate through spending time with them And through the development of these other types of love their wax and their growth are unfolding So that is the answer to that question and I'm going to follow this up by talking about the The notion of soul mates in another video


August 12th marked the end of summer school duties for the nation's teachers. Among them our Miss Brooks who teaches English at Madison High School. Yes August is the month when school teachers heed the siren call of travel and see such wonders as the Taj Mahal, the Eiffel Tower, and the Coliseum at Rome. Then they finish their popcorn and leave the newsreel theater. Last Friday morning I left my bedroom and made the long trek to the dinette where my landlady Mrs. Davis greeted me with some breakfast. I hope you enjoy your orange juice better than I did mine Connie. What was the matter with yours Mrs. Davis? It was too hard. Guess I didn't take it out of the freezer in time. I have a brand new deep freeze you know. It was a gift. You too? My brother Victor sent it over. He's such a dear. But Connie, why did you have to get up so early today? Summer school's all over with isn't it? Yes but I've got an appointment at the hairdressers. An appointment at the hairdressers usually signifies a date with a certain biology teacher. Are you having lunch with Mr. Boynton Connie? You should be a fortune teller Mrs. Davis. Oh that's funny. I just got in a brand new supply of tea leaves. Now you wait right here and I'll brew some. Not now Mrs. Davis. Walter Dentons do any minute to give me a lift. Oh is your car in the shop again? Yes I dented my radiator pretty badly the other day. I got a ticket too for passing a car on the left. But that's not illegal passing a car on the left. It is when the car is approaching you. I appreciate this hitch Walter and it's a beautiful day for a ride. Yeah it sure is Ms. Brooks. Notice anything different about the car? The car? Well yes the top is down. But Walter this wasn't a convertible. It was a club coop with a hard top. Sure. What did you do take the top off? I didn't have to. It fell off. 12 of us went for a ride the other night and that's when it happened. 12? Walter you shouldn't put 12 people in one car. Oh they weren't all in the car. Six of them were on top. That's why I caved in I guess. I guess. I hope no one was hurt. No no fortunately there were all girls inside and they're pretty soft. Got a little annoyed though. She likes the car better with the top on. Oh say that reminds me. I promised to give her you to lift downtown also Ms. Brooks. Her dad left the house early this morning and he's got their car. Do you mind if we pick her up on the way? Not at all Walter but please make it snappy. Okay she lives right down this block. Is that snappy enough for you? Great. We can pick up my head on the way back. Oh there's Harriet on the porch with her mother. You don't have to dare. Okay Harriet. Ms. Brooks. Who? Ms. Brooks. That's what we teachers need publicity. I'd like to talk to Ms. Brooks alone for a minute Harriet. Okay mother. I'll wait for you in the car Ms. Brooks. Well my dear I haven't seen you in ever so long. It has been quite a while Mrs. Conklin but I've been working pretty hard at school. Yes I know so has Mr. Conklin. He's down there now filing some reports on the summer session. That's what I wanted to talk to you about Ms. Brooks. I think a little vacation would do you a lot of good. Yes I suppose it would. As you know Mr. Conklin and I have a little summer cottage at Crystal Lake. Now tomorrow Saturday is our anniversary and I'd like to spend it up at the lake. Why don't you join us and help us celebrate? Well I really don't know Mrs. Conklin. You see in a moment of weakness I promise Mr. Boynton the entire weekend. When did you do that Ms. Brooks? At lunch in about an hour from now. That is I'm sure he'll accept. Invite me. So much the better. Bring Mr. Boynton along. You know seeing how happy our married life is might give Mr. Boynton some ideas on the subject. Why Mrs. Conklin I don't know what you're driving at. You look at Mr. Boynton Ms. Brooks and when one woman sees another woman look at a man the way you look at Mr. Boynton Ms. Brooks that woman knows that the other woman is thinking thoughts about that man that a woman has thought about a man since men and women were created. From the picture little man you've had a busy woman. Oh look Mrs. Conklin I am fond of Mr. Boynton but I don't want people to think that I will. Well they will anyway so you might as well land him. I tell you what you and Mr. Boynton come up to Crystal Lake tomorrow and you can be our house guest over the weekend. We'll surprise Mr. Conklin. Maybe Mr. Conklin doesn't want to be surprised. You leave ours good to me Ms. Brooks. He'll be delighted to see you when I get through with him. You know I think Crystal Lake will be extremely conducive to romance. Mrs. Conklin you just sold me. When I have lunch with Mr. Boynton today I'll extend to him your very kind invitation to spend the weekend in your trap at Crystal Lake. A cottage. Fine but remember Ms. Brooks don't breathe a word of this to Mr. Conklin. Don't worry about that. When Mr. Conklin's around I hardly breathe at all. I hope you like the idea of lunching in Marty's mall shop Ms. Brooks. We haven't had lunch here since summer school ended. Oh I love to eat right across the street from school Mr. Boynton. Of course I feel a little like a criminal returning to the scene of the crime but the food's quite good today. Yes this chili is delicious. Do you always eat chili that way with mustard and pepper and horseradish? Yes I'm afraid I have a cast iron stomach Ms. Brooks. Really? Who helps you carry it to school? I've always liked hot dishes Ms. Brooks. I think spicy things enhance a meal tremendously. That goes for life too doesn't it Mr. Boynton. What do you mean Ms. Brooks? Mr. Boynton instead of our usual Saturday date how would you like to get out of town for the weekend? What? Leave you all alone I should say not. I wouldn't leave you wouldn't leave me I'd be with you.  I'm wearing a sports shirt I haven't got a tie. You have now. I didn't mean to shock you Mr. Boynton but Mrs. Conklin's invited us up to their summer cottage at Crystal Lake because tomorrow's their anniversary and she wants us to help surprise Mr. Conklin. Why you and I Ms. Brooks? Because Mrs. Conklin's noticed how hard I've worked during the summer session and she thought it would be fun for me. Of course if you don't want to go I'll tell her I can't go either. That's all right I don't have to get any rest or relaxation. Cool mountains I can have just as good a time right here just staring into a mirror and watching the melted powder run down my nose. Please Ms. Brooks I wouldn't want to deprive you of any fun but good what time will you pick me up tomorrow? Well all right I'll call for you at 10 o'clock. Oh fine then we can oh excuse me a moment Mr. Boynton Mr. Conklin just sat down at that table by the window I'd like to talk to him. I thought we were going to surprise him. Oh I'm not going to mention our coming to Crystal Lake I just want to sound him out about my chances of heading the English department in the coming semester. The job's open you know. Yes I know well I wish you luck Ms. Brooks. Thanks Mr. Boynton I'll be back in a minute. Good afternoon Mr. Conklin. I'll have the businessman's lunch miss but I'll do without the soup and I can do without the potatoes. Mr. Conklin I'm not your waitress it's me Ms. Brooks. I can do without you too. I don't want to disturb you during your lunch Mr. Conklin but good then I'll see you later. I just have one brief question to ask Mr. Conklin may I sit down for a moment. I suppose so have you had your lunch. Yes sir with Mr. Boynton over there. Over where. Oh over there here quite an attractive tie has on. Ms. Brooks you and Mr. Boynton see a good deal of each other don't you. Well now that summer school's over we do see. You spend quite a bit of time together both in and out of school people are beginning to talk. What people Mr. Conklin. Well members of the school board you're still being considered as the possible new head of the English department. Oh that's just what I wanted to. Don't interrupt Mr. Naturally my recommendation will carry a lot of weight with the board but you know how I feel about fraternization among the faculty at Madison Ms. Brooks and I well it would be different if you were married or even engaged to Mr. Boynton then I wouldn't mind so much. Thanks heaps. I mean how can one ever get engaged if one doesn't fraternize with one or more than one if necessary to That is your problem Ms. Brooks. My anniversary is tomorrow and I'm going to surprise Mrs. Conklin with a little trip to Crystal Lake. We have a cottage there you know. Yes I know. Now if I could feel that your conduct over the weekend was above reproach well I'd enjoy my vacation that much more. Believe me Mr. Conklin you won't be hearing a thing about Mr. Boynton and myself. Good tell me Ms. Brooks. There's really nothing to your association is there? Well Mr. Conklin I think I can tell you the truth. Yes Ms. Brooks. My association with Mr. Boynton is the biggest nothing you ever saw. Ms. Brooks starring Eve Arden will continue in just a moment but first here is Vern Smith. Doctors prove you too may have a lovely ear complexion in 14 days. Yes ladies this is not just a promise not just a claim but actual proof for 36 leading skin specialists proved that a new method of cleansing with palm olive soap using nothing but palm olive brought new complexion beauty to two out of three women. These tests were made on 1,285 women of all ages with all types of skin many with complexion problems these doctors reports showed astonishing improvements smoother fresher complexions less oiliness new softness for dry skin fewer tiny blemishes incipient blackheads complexions more radiant glowing here's the easy method just wash your face three times daily with palm olive soap each time for 60 seconds massaging palm olives rich beautifying lather onto your skin like you would a cream then rinse that's all it's true you too may have a lovelier complexion in 14 days using palm olive soap regardless of your age regardless of your skin type start your palm olive facials today see what palm olive soap can do for your complexion in just 14 days and for tub or shower for loveliness all over get new big thrifty bath size palm olive well Saturday morning found the conglins on the porch of their cottage at Crystal Lake let's look in on them as mr. Conklin sways gently to and fro in the porch hammock this is the life Martha I'm certainly glad we surprised each other with this little trip I knew you'd enjoy yourself here it'll be wonderful to get away from the school for a few days not that I don't enjoy working with my teachers they're a grand group of people cooperative capable but it'll be such a relief not to have to look at their long faces for a while just relax dear and smoke your pipe I have a little dusting to do I think I'll take a nap this hammock is very restful before you go how about a little anniversary kiss and but it's only one o'clock in the afternoon we weren't married till three that's all right let's have a little preview I declare I don't know what comes over you when we come up here it must be the mountain air must be come here baby now dear you just drop off to sleep and I'll wake you up in about an hour fine fine I'll get your bag out of the trunk of these poor steps huh yeah what is it who in the world you miss Brooks mr. Boynton what are you doing here that's what I like about Crystal Lake the hospitality oh it's you miss Brooks and mr. Boynton I'm so glad you could come Martha did you have a nice day I asked mr. Brooks and mr.  Cockner'd rather be alone nonsense mr. Boynton I was good and I see as much of each other alone as we want to we're already married you know yes I know congratulations on your anniversary thank you mr. Boynton I always say married life is give and take me too you'd given me a little warning I wouldn't have let you take me here now you two must be all hot and sticky from your drive up here I hope you both have a bathing suit for mr. Conklin's sake I hope we each have a bathing suit and we'll all get ready for a nice dip I don't want to go for a dip we must do the things our guests want to do why as a matter of fact I'm afraid I don't have a suit with me I forgot to pack it oh that's all right mr. Boynton I'll fix you up with one of ours good you can nap a few more minutes ours good I'll take the folks in tow yeah just do that sounds like he'd like you to tow us about three miles and then sink us now you go right in here mr. Boynton you'll find a bathing suit in the bottom drawer of that dress oh thanks mrs. Conklin here's the guest room you and my daughter Harriet are going to share it for the weekend now before I leave you dear I want you to know that I plan this weekend for your sake more than anybody's when mr. Boynton sees how happy we are I'm sure he'll start thinking of marriage as the jolly institution it is well what do you say are you game looks like mr. Boynton's the game but it's worth a try you know I really do like the guy mrs. Conklin I know you do my dear now one more thing in addition to our example I think you should show your domesticity as well so tonight I want you to cook the dinner me definitely what dish do you prepare best soup what kind Campbell's cook something yourself it would make a much better impression on mr. Boynton I know you can barbecue some sparrows for dinner now get into your suit and I'll see you on the porch and I hope we don't all make a bunch of yikes out of ourselves stop rocking the hammock Martha I'm getting seasick now remember Osgood we've got to make a good impression for mrs.    Boynton don't you think so miss Brooks yes it's very nice but aren't the sleeves a little wide at the risk that is one of my older ones I believe that's quite a suit you have on miss Brooks she made it herself didn't you dear yes out of an old stocking and some pen wipers it's certainly revealing I never knew you had a beauty mark there miss Brooks where your elbow there mr.  Boynton I'll race you to the wrath you're on let's go here we are I'll help you up miss Brooks thank you mr. Boynton welcome aboard folks hello mr.  Boynton yes last one in there's a sugar cookie well how do you like driving a motorboat miss Brooks oh it's a lot of fun mr. Boynton but I glad I'm glad nobody's fishing on this lay this outboard motor's kind of noisy oh I don't think it's so bad not so bad if I was a fish and I heard this thing over my head I'd go hide in a tree I think you better turn around now we're pretty far from the pier all right say that's funny this steering wheel seems to be stuck oh yeah let me give you a hand isn't that a rowboat and that little cove we're heading for a rowboat yes it is I'd better cut the motor off we're heading right for them oh the ignition lever is stuck oh you've got to do something mr. Boynton we're getting pretty close to that rowboat look out of the way quick miss Brooks lie on the bottom of the boat I can't stop what happened did we hit them no thank heavenly we just missed them it's all right now I've got everything under control oh well the least we can do is go back and apologize for scaring them like this you're right miss Brooks here I'll turn around that's all right miss Brooks we didn't really want to catch any fish here don't worry about the fish mr. Conklin I'm going to barbecue us all some dinner are you really miss Brooks what are you gonna barbecue me eating out in the open air I'm sure the sparratives miss Brooks barbecues will be delicious don't you think so I was good I think I should have made them my barbecue but mr.   Boynton falls for miss Brooks I think now dear we agreed to forget all about it let's go out and sit in the hammock together the mountain airs still with us you know and it's quite dark on the board all right Martha what's it what's it who's that in the hammer it's us daddy us Harriet me mr. Conklin I invited him yesterday to surprise you this is the last straw remember your blood pressure it gives him kind of a purple you look doesn't it I've got to be calm let's go for a little stroll Martha maybe we'll run into mr. Boynton and miss Brooks somewhere I doubt it mr. Conklin we're at the other end of the hammock I'll be all right I'll be fine come Martha let's go into our bedroom and go to sleep maybe when I wake up in the morning this will all be oh we can't go into our bedroom together Oscar now that Walter's here Harriet and miss Brooks and I will have to share our room and you and Walter and mr. Boynton will have to sleep in the guest room before you do mr. Conklin I'd like to ask you a question what is it how are my chances of being appointed head of the English department you don't have to answer now you can think it over and tell me right after I've blown my brains out on this book returns in just a moment but first dream girl dream girl beautiful luster queen tonight yes tonight show him how much lovelier your hair can look after a luster cream shampoo luster cream world's finest shampoo no other shampoo in the world gives k-dumans magic blend of secret ingredients plus gentle aniline not a soap not a liquid luster cream shampoo leaves hair three ways lovelier frequently clean free of loose dandruff glistening with sheen soft manageable even in hardest water luster cream lathers instantly no special rinse needed after a luster cream shampoo so gentle luster cream is wonderful even for children's hair tonight yes tonight try luster cream shampoo dream girl dream girl beautiful luster cream girl you owe your crowning glory to luster cream shampoo and now once again here is our miss brooks well mrs. Conklin finally got mr. Conklin back to a fairly neutral shade of purple and acting on her suggestion I steered mr. Boyden down to the pier for a little moonlight fishing oh it's wonderful fishing at night isn't it mr. Boyden look at that moon yes some fish bite much more frequently when the moon's out let's see the last time I went fishing at night I was alone except for my dougal course my pet frog now we've had some great times together yes I know you have but now it's my turn that is if you don't mind mr. Boyden mind come here baby hi mr.  Boyden is played by jeff chandler mr. Conklin by gail gordon others in tonight's cast were jane morgan dick crana gloria mcmillan and vivy janis from the research laboratories of the colgate palmol of pete company comes an astonishing new dentiferous colgate ammoniated tooth powder contains the amazing ingredients that help prevent tooth decay and also as colgate's exclusive foamy cleaning action plus a refreshing minty flavor the whole family will enjoy economical too the big four ounce size costs only 43 cents yet colgate ammoniated tooth powder now for mystery liberally sprinkled with laughs listen to mr. and mrs north tuesday evening over most of these same stations andy with us again next week at the same time for another comedy episode of our miss brooks bobleman speaking this is


Good morning. Good afternoon. Good evening. Welcome to a special edition of the data services office hour I am Chris short host with the most of red hat live streaming I'm joined by one of my favorite red hatters and an Intel person. Yay Thank you Ryan and Audrey for coming on today. Audrey. You want to like tee up what we're talking about today a little bit Yeah, for sure. So, um We're please introduce you too. I'm sorry. Yeah rounds of introductions. It's early I forget stuff too. So, you know, it's fine It is early on the on the West Coast here 6 a.m. Yeah, oh coffee. I need that. Yes. Sorry. I'll send you I got it. No, so today we're looking at how we can tackle AI ML workloads using red hat open shift the platform with Open Vina, which is a fabulous Intel product So Ryan and I had actually spoken about this in a session earlier this week And I thought well, we need to spread the love we need to tell everybody about open vinyl and red hat open shot Awesome sounds great Now would you like me to go ahead and speak some more about this? Let's let Ryan introduce himself. How about that? Okay? Well, so yeah, I'm I'm Ryan Lonnie. I'm a product manager at Intel for the open Vino toolkit, which is a set of libraries and tools that are used for Optimizing deep learning inference and we've done a lot of work to integrate with red hat so that it's easier to deploy and Optimize quantize these AI models so that they can be deployed in open shift and so they can be deployed on red hat enterprise Linux and We're gonna talk a little bit about it today Awesome. Yeah, so one of the things that we found that is Pretty prevalent right now in industry since we have kind of a need for an open hybrid cloud and AI platform is that around 69% of the Enterprises today use a mix of open source and cloud base Software to power their AI initiatives, which is fantastic So again, that's really really the reason that Ryan and myself are here today Because we want to talk about these two products that red hat and Intel have created so Cue the intro for red hat open shift data science and cue the intro for Intel open Vino and I did want to mention that you know since we have so many enterprises using The open source and cloud-based software to power their and AI initiatives One thing that's also very interesting is despite the large number of vendors that are out there in cloud platforms architectures to choose from most of the technology leaders are Using open source tools, which is yay fabulous. Yeah, and It's um, you know 78% of them are their initiatives that they're That they've actually gone ahead and created are deployed using help hybrid cloud infrastructure So it makes it a fabulous opportunity for us to get our products out there. That's awesome. So cool and The the partnership with Intel how did that even start right like where how did that get going I guess? Wow, that's a that's a good one Ryan go for it For me, I think last year sometime last year we started to to communicate more directly at least my team that's building open Vino and we I remember it must have been in January of this year one of the Solutions architects Kyle Bader He and I were on a call and I you know I'd never met anyone at red hat before I'd talked to the the team inside Intel that worked with red hat and it was sort of like Game of telephone sometimes and you're okay red hat is doing this they're gonna launch a new data science program and then I actually got to talk to a solutions architect and he really Explained it so well and said this is what we're trying to do It's gonna be you know leveraging open source tools under the hood Cube flow open data hub and I had never heard of open data hub before and after he told me all this and got me Really excited and I said, oh, this is a great idea. You should definitely do it You know if there's a lot of cloud providers that have these sort of vendor lock-in tools that you can use on their service But I haven't seen this like managed ML ops cube flow type open data hub Offered by anyone else and I think it'd be great if red hat did it and he said great We need you to do something too So we we see that you have a helm chart and some Kubernetes integration that you have with open Vino Can you turn that into an operator for open shift get it certified? Certify some of your containers. We need them to run on UBI and at that point we had not done much work with We had just started to enable and validate our software on on red hat enterprise Linux We had previously supported sent to us and you know had customers working with other flavors of Linux So it wasn't too hard to move over but that's really when it kicked into high gears when we started Taking that helm chart turning it into an operator and turning it into an open shift operator going through the certification And the partnership has gotten, you know stronger since then That's awesome, right and that's like most partnerships at red hat, right? That's like what's working a couple bits here working a couple bits there and usually it turns out awesome So it's great to hear so do we want to talk about Open shift and open Vino together. I like how they both stay open like capital letter open in the names. This is pretty cool So, yeah, I can start on that What we have with Open Vino is it is one of our managed Services that's available on roads and what's really cool about it is that when you go ahead and choose it in our red hat open shift data science platform and spin up a Jupiter notebook it actually comes prepared with all these wonderful tutorials and For one, I love that because I get to go through the tutorials to see how it would work with our red hat Open shift data science product And I can go into detail in terms of the inferencing and the quantization But I might let Ryan speak in in a bit to describe more Maybe about the process that they went through to get open Vino Actually ready for red hat open shift data science Yeah, would it help if I don't want to dive right into a demo, but should I share my screen and Show the open shift console and yeah, let's let's let's go do that. That would be fantastic cool, so I'm Just diving right into our roads cluster and let me know if you can see Yes, you could increase the font size just like two ticks maybe All right looks I can read it. So folks if you can't let me know and We'll always make it bigger can always make it bigger. Yeah, so please continue. Thank you Cool. So I just went over to the installed operators on this Managed cluster that we have that red hat is managing for us and we have the Pre-release version. I guess I would say of open shift data science installed We have these two operators from intel one is the AI analytics toolkit and this includes some of the common frameworks created by third parties like tensorflow, pytorch And we sort of At bake in our intel optimization so you can keep using tensorflow keep using pytorch modin pandas scikit learn with some of the low-level mathkit library and optimizations from one api Baked in so but I'm going to focus on open vino toolkit, which is our intel native tool It's an open source set of tools like I said before and run times for deep learning inference And when we did the integration We were thinking about open shift data science and of course partnering very close with folks like audrey And we added two component or two apis into the operator One is our existing model server, which is for serving models It's a service oriented architecture. So you can deploy It deploys a ubi container Manages it with the operator and it creates a endpoint for prediction requests for your Image classification object detection nlp models and the other is a notebook instance So all you have to do is click this create notebook button And if you're planning to do development, this will Install third party dependencies that you need in your jupiter environment So you can run open vino run tools like tensorflow PyTorch onyx And start optimizing the models that you have trained and we even have some Training examples that you can run that also don't require a gpu So you can just quickly get started doing a training Run it on a xeon cpu and and and start doing some optimization So when you when you click create notebook, what this does is it It it pre-installs a bunch of jupiter notebooks you can see here That are available through This jupiter console and in order to get to this You know, we'll go to the if i'm using open data hub There's a different link i'm using red red hat open shift data science Just part of the managed services. So we'll go to red hat open shift data science And then you can see that these Cards have been enabled here. So You open vino one api And if I launched jupiter hub, which i've already done There'll be an option to just click on open vino and and you can jump right into the notebooks So I selected the the open vino option Launch them and these are actually two Jupiter notebooks that audrey and I were sharing the other day at an intel conference And these these are showing how to take a model trained in tensorflow This is sort of like the hello world example that is provided by tensorflow And it's the flowers training. So what you're doing is taking Let me see if I can make this larger And i'll hide this table of contents And put it in presenter mode Is that a little bit easier to read? Yeah, that's awesome. Thank you. Okay So this is sort of the classic Tutorial that tensorflow provides and you know open source. It's a image classification model It's what we would call like a toy model because you're not Really going to just detect six Or classify six types of flowers for many production use cases, but Well, I'll I'll dive in and show you what we're doing. So there's these are the This is the data set that you uh that gets downloaded automatically when you launch the jupiter notebook And it's going to pull down 3700 photos of flowers. So there's only five subdirectories which For the different classes. So these are the the labels that we'll have for When we did classify the images and it's just five different types of flowers And feel free to stop me at any time and chris if you'd like You're doing fabulous keep on going. Yeah push forward like this. This is cool Cool. Yeah, so we take the Do like a visual inspection is to make sure that our labels are correct And of course if you're inputting your own data, this is something you definitely want to do and make sure that The tulips or tulips in the roses or roses, but um, and then this is just walking through some of the link boiler plate steps that you would have uh from Preparing a tensorflow image classification training using keras, which is part of tensorflow And you will sometimes see these sort of funny harmless errors And often it's either due to you're not using a CUDA or you're not using some other library that it expects you to use But these are harmless. Um, so don't don't be alarmed by the red and then Let's see if we again these are the each label and preparing the dataset Some other model preparation And then we're going to actually run the training on the cpu. We'll go down to that part. So you can see 15 epochs of of training and in this, uh I don't know how many I think maybe 14 cores are available to my pod right now So with this 14 core pod with maybe I don't know how many gigabytes of memory not too much It's for able to process each epoch in 152 milliseconds, which Is for a cpu. I think that's it's not too bad. So you have to wait. Yeah, wait a few minutes for this to to run But again, it's a very simple model And you can check out and inside the notebook and see the Accuracies actually pretty good. It's, you know, close to 80 percent Just after running those 15 epochs with those 3700 flowers And then this is where we start to hand off between TensorFlow and moving to open vino. So first we're going to download a picture of a sunflower And make sure that it's it's classified and see that it that it works.  We've got 94.86 confidence Now we're going to save the tensorflow model and this is in the saved model format So often before you take a model to production You'll save the fully trained model and then use a tool, you know, we have open vino Some of our competitors have other tools. There's like core ml tensor rt Onyx runtime And you're you'll usually have a step where you convert that to a different format before you Deploy it in production. So in this case we're we're open vino. So we're going to convert it to the open vino representation There's a few parameters that can be defined So the shape of the model which we know from the previous steps Is 1 by 180 180 by 3. This is The size of the images the input images were quite small And then three channel rgb And so the the output type we're going to go from Floating point 32 precision to fp16 when we convert to open vino So we don't we reduce the size of the model. It's still floating point Precision and we should see no change in accuracy no change in the Output of the model, but the performance should be should be slightly better And that's after we do run this conversion step The next thing is we'll see that it's successful The next step that we're going to do is to actually use open venos inference engine to do the inference So again, we're going to set these five classes We're going to load the open vino optimized version of the model which you'll actually be able to see Let me go back to the this is the directory that has these two notebooks um, and we're in the the It's quite long, but it's like it's a pretty fun one getting to see the flowers and it's easy to visualize like, okay What five flowers you got to figure out which one using ai? It's like it's pretty easy to explain what's going on Awesome. We're back live folks. Sorry about that. Uh zoom just decided to disconnect us from the call. So, you know Yeah, technical, so I'll I'll go through like the last few things that we covered So we we did a prediction on the the tensorflow model and here I'll link this Screen a little better. So we save the tensorflow model converted it to the open vino format and moving to floating point 16 So reducing the model size a little bit better performance, but no change in the There's no Noticeable change in the accuracy in the output of the model And then we're going to run a test which you scroll through all of this See that the model converts successfully we're going to Load the ir so the intermediate representation is what we we call the Open vino format and when you run that conversion step, you'll see that there's a dot bin and a dot xml this is what the Output of the open vino format. So there's a Binary and then there's this xml that has a bunch of metadata for the the model Stored in it and that's what we're going to to use to run the inference in open venos inference engine so Here we load the network read it with inference engine and then we're going to download a picture Of a dandelion from wikipedia Just so we have an image that didn't come from the original training set and Because we don't want to Plug in an image that was used during the training. We want to have a totally random one So we download this dandelion and we see that It's able to detect or classify it as a dandelion and with great confidence And then that brings us to the next step so The next step is to do quantization and so now that we've trained the model It's in open vino format. We see that the it's able to classify the image correctly The next step is to further optimize. So we're going to actually lower the precision to eight bits Right now. I said it was in floating point 16 We're going to do a process called quantization And we have a tool that open vino provides That comes baked into the integration with red hat open shift data science. It's called the post training optimization tool And this tutorial and there's a few others That are currently in the the notebook Image and even more that are getting added, you know, I think we have three more coming So it's a lot of examples for you to start with for different use cases. And of course, this is image classification So first we're going to just Use the model that we trained in the previous Notebook and if you didn't run the previous notebook This notebook actually checks And downloads and runs the previous notebook if you happen to forget to run the one that does the training and then there's some sort of These are steps that are required to run quantization. So with our tool You have to create a data loader and there's an accuracy metric To help measure the accuracy to compare the Original model with the quantized model We also have an accuracy aware algorithm that you can use to To set the maximum amount of accuracy job So that's some of the reasons for the accuracy metric And then this is the actual pipeline to use the post training optimization tool Which performs the post training quantization And so this running these steps here, this will give us a Compressed model that's in the lower precision. So integer eight precision And then it'll save it in the directory. So, you know, I was looking before In the model directory. So now we have this optimized and these are the low precision models that get saved by running this Pipeline Once you have this bin and this xml or if you're using a dot on and x and onyx model You can take these and deploy them with the model server and create a endpoint in openshift So you can serve the models and I'll I'll talk about that in a minute But once you've done the experimentation the work the quantization optimization in the notebooks and roads and openshift data science You can then download these art at these model artifacts And serve them in openshift But so let me I'll finish the rest of the notebook before I show what that looks like One of the most important things that people Are always afraid of when using quantization is you are lowering the precision and One of the key problems that you know, our customers face is The the accuracy drops so much that it's not worth the performance gain So one thing we always want to check is that the original model and the quantized model Are roughly the same and in this case they're they're actually almost exactly the same And there will be cases with more challenging workloads or challenging data sets where you're not able to get This type of accuracy so you always want to check and Part of the process that we were running before was actually taking some of the images From the original training using them in the quantization. So pipeline So we can fine tune This quantized model so that we don't have accuracy drop. And so that's really important step is to check the accuracy And last we're going to Basically do the same thing we did before we're going to run inference on the quantized model and download that same picture of a dandelion And see what happens so again, we get the image most likely belongs to dandelion about the same confidence as before On that that one image And then this is the fun part so Running the running the benchmarks So we one of the first things we Well first the benchmark app. This is one of the other tools that we provide an open veno That once you have an open veno model you can easily just use our this command line tool Or use it through the the jupiter interface To to see what the throughput and the latency are for the model that you're using on the hardware that you have So in this case, you know, we're running this on aws. We have a platinum 8259 like a A new pretty good zion. Um, we don't have access to the full thing because You know, if i'm using roads and i'm a data scientist and if everybody requests a pod that's got all the cores It's gonna It's gonna be an expensive aws bill So the this is I think with 14 cores We can see the original model that it's late of throughput is around 28 91 frames per second um, and then if we look at the quantized model And the integer 8 low precision model we're getting about a thousand frames more per second and so this This really matters when you're dealing with like video processing as one example If you're processing 30 frames per second or 60 frames per second Getting an extra thousand frames without having to buy additional hardware And just not having any drop in accuracy if I go back up here I mean you're getting a thousand frames more And there's no change here. So that's It's that's part of the the value that we add with open vino on our tools And you know giving you the ability to see the performance in the benchmarks right in the jupyter notebook These are not perfectly accurate because it's there's some overhead with running jupyter There's an overhead with python, but it gives you a rough idea of the increase that you can see By running this quantization step And then there's also some features that are not going to be available to test when you're running on roads in the cloud on that open shift data science One is that we have intel GPUs, which right now are just integrated graphics So like my laptop, you know, I I could run this same notebook on my laptop with fedora and it actually is able to Access the integrated gpu or if I had red hat enterprise linux on a desktop or laptop Or on a nook edge device, you know, you name it We'd be able to tap into the integrated gpu and Soon when we launch the discrete graphics cards from intel, you'll be able to use those as well and what this does is it's It's combining both devices so I can either run it just on the gpu just on the cpu Or if I do this multi cpu gpu, it'll maximize the throughput by using both But of course On aws. We don't have integrated gpu's. It's just a xeon scalable processors. So This part you'd have to run locally Okay That's cool. So we have a question in chat here from friend of the channel carlos from ibm What's the support model for this operator for enterprises wanting to use it? Can they pay intel for support patching that kind of thing or how's that relationship works? Yeah, so we have both a community version that's Provided as is without any sla enterprise support And then we also have the marketplace offering so that If you want to use open bino on the open shift data science platform You do need to install the marketplace version And there is a trial and so we provide the 24 7 sla we have Customers support with you know technical consulting engineers that that provide support to customers who use the marketplace operator And I believe that Yeah, so if you when you install the operator you will need to install the marketplace version on open shift Uh data science If you want to use open data hub di y do it yourself without any support Technical consulting services Then you'll you can use the community version that's on the red hat ecosystem catalog Awesome So carlos, let me know if that doesn't answer your question by pretty sure that's a comprehensive answer there um So yeah the the benchmarking um Anything out of the norm here that you're looking at or are you is this Expected kind of latency kind of thing Any bumps in the night you might have noticed using a cloud provider versus, you know local hardware kind of thing Yeah, and I think that the key uh, we don't show a performance benchmark Uh with tensor flow because there's it's not really easy to do an apples to apples comparison, but sure I mean, uh, if I did that In almost any case open vino is either slightly or Significantly faster depending on you know, we we do additional optimizations that uh, like operations fusing and uh pruning of graphs and things that happen By default when you run open vino And so that you should always expect the performance to be better than just using the framework And then when it comes to the hardware I think that you know getting over a thousand frames per second for any workload on a cpu Is That's an accomplishment in itself. I think that uh oftentimes There we have partners customers who decide to buy expensive discrete graphics cards Because they don't think they can get this kind of performance just using their cpu And so that's you know, there are cases where you need to get 50 000 frames per second or you know, you really want to spend that extra money Because you're processing a thousand camera streams on one server or something like that But when it comes to using the cpu, it's sort of just a different equation, right? If you have You know 88 cores and you know how many frames per second you can process That determines how many camera streams that pod can can process So it you'll have to do them the back of the napkin math and say, okay I can go buy a Discrete card and it'll cost me this much per month on aws Or I can just buy one with xeon and I can process this many frames And then you know decide what's best but with cpu the latency here is actually I think this is great But it really depends on the workload so And like all thanks gubernetti's this workload right like how does your workload perform? What does it want? Right like if you have a pod with 100 cores available to it that might be enough to do your job Or whatever, you know, you're trying to process there, but sometimes that's a great point. Yeah, exactly That's a great point that Yeah, the math is a little different but Sometimes that big expensive gpu as we're using one right now to produce the show Is is worth it and sometimes it's not right so yeah, you can save a little money here just by bulking up the cpu it looks like Yeah, and we we definitely For especially for training. I mean, I know I showed you this really simple model. That's very easy to train you can train this using a GPU if you have a gpu instance training with an nvidia gpu it'll go much faster and there's another example that um Audrey and I are looking at using for another event that this shows how to do a quantization aware training with pytorch and this actually This runs really fast if you use a nvidia gpu and then you can of course deploy the inference on intel hardware, but Um, you can also train it on a cpu. It just takes longer Nice cool That's awesome I think I'll just um mention here that some people may ask You know what industries, you know, maybe benefiting from some of this technology and because I just uh did a Conference session yesterday for iapg which is the international association of petroleum geologists um One of the things that comes to mind already and that I know that intel is heavily involved with is Looking at seismic. So if you can think of Seismic is just basically pictures of the the subsurface but in a way, it's almost Like an x-ray you you are having A lot of images that you need to process for certain details certain horizons or Seeing if you can pick out faults or seeing if you can pick out horizons and this is where having uh something like open vino for quantization and for For inferencing really makes a big difference because those uh industries or I should say those energy companies are using You know state-of-the-art GPUs in their high performance computing centers And they're trying to squeeze every last bit of performance out to see what they can see in their subsurface models And again, I know that um intel has like an open seismic architecture their alpha release um That's currently a sandbox environment for developers in oil and gas Where they can perform deep learning on 3d and 2d seismic and For me, that's something that I find fascinating, but don't discount anybody who's doing something in the medical industry like research for for cancers looking at images You know the open vino has a lot to offer for a lot of different enterprises and and industries And I found a link analyzing 3d seismic data using intel distribution of open vino tool bit I'm just going to drop that in chat so folks can uh Take a look at that to get a better understanding of that kind of use case Yeah, I said it's um, this is really exciting uh for better You know, yeah a better lock of word is it's good stuff that that we're really doing together and Uh, I get very excited about this Yeah, I know I just I would oh I'd say that I don't know as much about the the seismic analysis But you know, we just I did a session yesterday with one of our health care partners and Similar to the seismic analysis. They have Very large input Images or input data that goes into the model So like in the case of x-ray, uh, which we were talking about yesterday. They have like a 1024 by 1024 Uh grayscale image that gets input They also, you know, they process also like 3d slices of 3d images for ct scans And they're really measuring not in the frames per second, but they're saying Can we process one frame in less than a second? So it's like a totally different, you know, paradigm shift. Yeah But that every little bit of optimization counts when you're dealing with big input like that So with the x-ray, you know, they were saying, oh, we were able to go from two seconds With tensor flow to process one x-ray down to 800 milliseconds with open veno four years ago And then today we're back. We're down to 147 milliseconds. So it's like we keep inching down and going lower And that was running on an intel core processor. So not even a zeon Okay, because they they have to plug it into a ultrasound machine and have like, uh, you know embedded Machine that's next to the in the operating room or at the hospital So there's a lot that we can do to squeeze more performance out of the Sort of more low power hardware. That's fascinating And just the idea of having that like box next to the, you know, the x-ray machine the mri machine Whatever it may be like that's incredibly powerful in the hands of the right people, right like Well, yeah, the cost makes a huge difference for yeah, like they were saying around the world, you know, we're lucky in the u.s That's like one in 10,000 One radiologist for every 10,000 people, but in other parts of the world It's like one for every quarter million people. Wow. And so Bringing these devices to places that don't have access to radiologists and i'm sure with the the Energy there's similar challenges of bringing the equipment And doing it on site in places where there's no internet connectivity You can't connect to aws when you're, you know, out on a rig or if you're out on an island somewhere If you're out somewhere in a hospital that doesn't have, you know, the access to Fiber you just have to run everything right there and do it on a device that is affordable Yeah, and i'll just Put in a plug for the energy industry This also helps in the areas where we have data gravity when we're working with national oil companies That don't allow us to take the data out of the country So what do you do if you can't use, you know, a public cloud provider? You have to create some sort of on-prem or hybrid cloud And that's where, you know, do you build your own high performance computing center? Which could it be cost prohibitive? Wow, do you use do you use some of this fancy stuff from intel? You know, what are you going to do? We help you with the intel stuff And of course you're going to use the intel stuff with red hat openshift data science Right, and we're really excited. I think about the next phase of doing some of this hybrid Setup we're having, you know edge devices that can be like fleet managed by Open shift data science where you have control plane in the cloud And you've got some edge devices that you know either call home just to send some telemetry data or you know Just just not necessarily sending all the data. They're processing back to the cloud Because I think that's really the the future is we're going to have these Low power devices that may not have great internet access But they need to be managed right and they need to be connect back to a control plane like open shift Yeah, and I'm just going to put another plug in for the energy industry That is like freaking amazing because you have a lot of oil fields That are, you know, not that close to a lot of good cloud services So we have to do a lot of some of the inferencing on Some of the fluids that we're pumping out of the ground or health of the well-hand. We have to do that That work away from the mothership so to speak So being able to do that, you know, first before we get the rest of the information Makes things so much quicker for the geoscientists or even the engineer who's looking after the the oil field So that he can make decisions quicker Especially if there's something that could be failing that could be bad So we want to know that about that quicker and not have to chunk through data and the day later say oh There's something happening when Something bad already happened, you know, yeah, you know just parts where right like that decreases efficiency and you know Just knowing that right like knowing that okay We're reaching this point where like our our coefficient is off and we need to replace a part then That's incredibly powerful to know that sooner rather than later, right? like Surely when you have a couple thousand well heads in a in a in a field, you know, exactly Yeah, you're never gonna like you're never gonna be able to inspect that every day Unless you have a thousand people going out to those because usually oil fields are huge vast expanses of land Yeah So a lot a lot of good comes out of what we're doing. We're helping people. Yay. It's awesome Exactly. That's always awesome And it's always great to help people. Yeah, exactly All right, anything else you want to share here or I know we had some slides. Let me drop those in chat folks for your benefits Even though we didn't technically use them. Uh, we also have a intel.com slash open vino dash customer dash Open vino dash success dash stories and I'll drop that for you chris. Thank you I was trying to type it as you were saying and I was like, oh my god It's a long one I was good until the second dash and then you lost me So if anyone wants to learn about some of those use cases and hear about the partners like bmw g healthcare seamen's and who are doing solving some of these challenges and hopefully more of your customers Will join this exciting Board of success in the future Yeah, this is pretty awesome for the oil industry or energy industry I'm gonna drop in the stuff for open seismic because I just think it is freaking awesome. What's being done there? Cool. Let me drop that in chat here for everybody Yeah, that's awesome stuff Cool, uh, there's no more questions If there's no more content we can wrap here Tirely up to y'all how far you how much longer you want to go? I need coffee so okay. Yeah, let's let's get let's get uh, let's get ryan some coffee here folks Thanks for tuning in uh coming up next at the uh in 17 minutes We will have the what's new and open shift for nine briefing Joined by multiple product managers from the uh open shift team So please stay tuned for that and there's a full slate of shows on the calendar today So please go check out that calendar and join us for any of the shows you might find interesting Thank you. Audrey. Thank you ryan really appreciate it This data science stuff always fascinates me and this was again truly fascinating. So thank you very much for it Thanks for having us. Yeah. Thank you.  See you soon