Good. So let's take on his argument a little bit because, I mean, there is racism in America. You yourself said a number of your students, it's Southern Illinois, your Eastern Illinois were members of the Klan. I didn't even know they were still members of the Klan.  You know, there was a civil rights movement for a reason, right? Because pre-civil rights things were really bad in this country and, of course, there was ultimately slavery. So how do you position your love of America and the love of values and the opportunities and your experiences being black in America with the existential reality that there was a lot of, you know, there was slavery, there was Jim Crow, and there was some racism still around today. How do you take all of that into account in your view of modern America? Because I think there are a couple of things to think about. One is that America is a very progressive, and I don't mean in the way that liberals have co-opted the word progressive. America is a very progressive society. For such a young country, if you look at how far we have come in terms of overcoming sexism and overcoming racism, now we have marital equality in this country. America has at its core, I think, a self-reflexivity clause where we are always a self-questioning society, always looking at the ways in which we can reflect on our flaws and correct our mistakes. And I think that the debt has been paid. I think the debt was paid, whether one, there are people who disagree with the 1964 Civil Rights Act, and I think that there's, however one debates that, I think the debt to black Americans was paid in that act. That is granting them equality before the law, recognizing equal citizenship along with their compatriots. But it went even further than that. It went to the point of making private citizens unable to discriminate against blacks. So I think that the debt has been paid and to ask the state to go any further in outlawing every form of private racism, short of a bloated totalitarian state, that's impossible. But I think also, as a university professor who has been teaching with almost 23 years now, when I look out at America, I see a progressive America that if you are a black man or a black woman, we have a progressive environment in which universities will welcome you with open arms, right? We have progressed beyond a certain pale of racism in this country where to be black is to command an enormous amount of social power. Look at what happened in Starbucks when these two men got arrested and look at the outrage, right? Look at what happened a couple weeks ago.  I think that Ta-Nehisi Colts actually overstates the position. And I see a progressive America in which race relations have become better. I lived in a deep cell for eight years in predominantly white communities because housing was cheap. And I do not think that I live in a country circle, Mississippi, 1950. Incidentally, the race... So you're not denying the existence of racism in America today. No. I'm saying it is not a barrier to success. And it's something that can and should be overcome and that the state has no further role to play. Well, the state has a role to play when racism is being foisted or being... It is the primary instigator of racism or committing the primary crime against violating individual rights. But I think what we are seeing, which points to the progressivism of America, is that social ostracism, which Iran talked about in her essay on racism in the virtue of selfishness, social ostracism is one way that I think racism is being fought in this country where people are attempting or threatening to boycott Starbucks because of two black men who are sitting there waiting for a white friend, get arrested, they're doing nothing of their own, and progressive Americans. And I don't mean progressive Americans on the left. I just mean people who are possessed of fair-mindedness. Say, if this is the way you're going to treat two innocent black men, but we're not going to buy your coffee anymore. I think if we want a bloated totalitarian state that is going to interfere in the lives of individuals, individuals who have every right to treat their businesses and their private lives as extensions of their living room, then that's not freedom and that's not liberty. And norms and mores have changed in such a way that I don't think anyone can go and put up a colored sign or in a bathroom today in a restaurant and get away with it. The outrage would be so legal. I think the outrage would be unbelievable, even in places in the South. It would be. I think that we have transformed enormously as a society towards fair-mindedness, towards women, towards blacks, and now towards gays. And I think that's a good thing. And I think we should continue to the extent that we do value a philosophy of individualism to continue to promote that sort of ethos. Incidentally, I must say that when I read Tanahisi Kultus' book, Beyond the World, or Between the World and Me, the racism that he experienced primarily was racism directed against him by blacks. Now, there's one incident in which a white woman sort of shoved his son along and said, move along and he made a big deal out of it. But most, most, I read that book very carefully, most of the problems that he experienced during his childhood was with black-on-black crime. And it was with other black men. It wasn't with the police. He didn't have any run-ins with the police. It was a fear that he had of being assaulted by other black men.  I mean, that is explanation, right? Right. Well, you know, my rejoin to that always is coming back to the greatest civilization that I think has ever existed on the face of the earth, which is the Jewish civilization. I don't know of any phenomenon called Jew on Jew crime. And you couldn't point to a civilization that has been more persecuted by states across civilizations, right? By private citizens. And at the same time, we don't have Jewish people forming gangs and killing each other.


In 2017, Netflix changed its five-star rating system to a simple thumbs-up, thumbs-down. Now the service was recommending movies based on the match percentage, and people hated it. How can we reduce all the nuance that lives in cinematic art to a primitive, binary reaction? In reality, what Netflix found was that people were giving high rates to those movies that they believed were good, not necessarily those they really enjoyed watching. At least, that's what the data said. So, how does data analysis work in organizations like Netflix? And what are the roles in data science teams? This is Gibson Biddle, a former VP and Chief Product Officer at Netflix. When talking about consumer insights, he explained an unexpected customer behavior that led to changing the whole rating system. In shifting to percentage match, Netflix acknowledged that while you may rate a Leave Your Brains at the Door Adam Sandler comedy Only Three Stars, you enjoy watching it. And as much as you feel good about watching Schindler's List and give it five stars, it doesn't increase your overall enjoyment. And keeping subscribers entertained is kind of critical for Netflix, so they simplified the feedback system to avoid bias. But these insights into customers are impressive by themselves, and they wouldn't be possible without two things. The culture that fosters the use of data and a powerful data infrastructure. In tech jargon, it's called a data-driven organization. You've likely heard this buzz phrase hundreds of times, but what does it really mean? Netflix alone records more than 700 billion events every day, from logins and clicks on movie thumbnails to pausing the video and turning on subtitles. All this data is available to thousands of users inside the organization. One can access it using visualization tools like Tableau or Jupyter. Or they can get to it via a big data portal, an environment that lets users check reports, generate them, or query any information they need. Then this data is used to make business decisions, from smaller, like which thumbnails to show you, to really serious ones, like in which shows should Netflix invest next. But Netflix isn't alone. According to some estimates, about 97% of Fortune 1000 businesses invest in data initiatives, including artificial intelligence and big data. Buzzwords again, but let's have a look at the real data infrastructure technology and data engineers that make it work. To describe how data infrastructure works, technicians borrowed the term from liquid and gas transportation. Similar to physical pipelines, data pipelines have their own origins, destinations, and intermediate stations. So it's a pretty apt metaphor. The origin of data may be anything, from clicks on a reserve button and pull to refresh to conversation records with customer support, from vehicle tracking devices to turbine vibration sensors on power plants. In today's world, it's actually harder to say what cannot generate data rather than what can. Even no data can tell us something. Once the data item is generated, it travels down its pipe to a staging area, right This is the place where all raw data is kept. Raw data isn't yet ready to be used. It must be prepared. You have to remove the airs from it. Fill in the gaps, change its format, or merge data from different sources to get a more nuanced view. As soon as these operations are done, the data, now structured and clean, can't continue on its journey. All these operations happen automatically. They are described in three words. Extract, extracting data from its origin and getting it to a staging area. Transform, preparing data for use, and load. Push prepared data further. ETL, for short. All prepared data falls into another storage, a data warehouse. Unlike the staging area, a warehouse is a place where all stored records are structured and prepared for use, just like in the library with its classification system. Finally, you can query, visualize, and download information from a warehouse To do that, you must have business intelligence or BI software. It presents data to final users, data analysts and business analysts, who carry out essential tasks. They access data, explore it, visualize it, and try to make business sense of it. Did our marketing campaign work out well? What's our worst performing channel? They act like a sensory system supporting an organization with historical data and getting insights to management and ultimately anyone who makes decisions. OK, who's in charge of building this whole pipeline? Traditionally, these specialists are called data engineers. Mostly tech people adept at what's known as plumbing, moving data from its origins to destinations across the pipeline and transforming it on the way. They design pipeline architecture, set up ETL processes, configure the warehouse and connect it with reporting tools. Airbnb, for instance, has about 50 data engineers. Sometimes you might encounter a more granular approach with several extra roles involved. Data quality engineers, for instance, make sure that data is captured and transformed correctly. Having biased or incorrect data is too expensive when trying to derive decisions from it. There may be a separate engineer responsible for ETL only, and also a business intelligence developer focusing solely on integrating reporting and visualization tools. However, reporting tools don't make headlines, and a data engineer wasn't called the sexiest job of the 21st century. But machine learning does, and a data scientist was. What everybody knows is that data science is particularly good at taking data and answering complex questions about it. How much will the company earn in the next quarter? How soon will your Uber driver arrive? How likely is it that you'll enjoy Schindler's List the same as uncut gems? There are actually two ways of answering such questions. Data scientists make use of BI tools and warehouse data as business analysts and data analysts do. So they would sit here and get the data from the warehouse. Sometimes data scientists would use a data lake, another type of storage that keeps unstructured raw data. They'll create a predictive model and suggest a forecast that will be used by management, one time reporting, and it works for revenue estimates, but it doesn't help with predicting the Uber arrival time. The real value of machine learning is production models. Those that work automatically and generate answers to complex questions regularly, sometimes thousands of times per second, and things are much more complicated with them. To make the model work, you also need an infrastructure, sometimes a big one. Have a look at this dramatic image. Not in the way most people consider the meaning of this word, obviously, but for data scientists, it really is dramatic. Notice this tiny box in the middle, which says, yeah, let's zoom it in, please. It says ML code. The paper is called Hidden Technical Debt in Machine Learning Systems by Google Engineers, and the image compares the amount of machine learning code to the rest of the systems that make machine learning code useful. Without them, this tiny box, however brilliant it may be, is a relatively small piece of code in Python or in Java. But it's actually pretty hard to arrive at this model. Data scientists explore data from warehouses and lakes, experiment with it, choose algorithms, and train models to come up with the final ML code. It takes a deep understanding of statistics, databases, machine learning algorithms, and a subject field. In his famous tweet, Josh Wills, former head of data engineering at Slack, said that a data scientist is the person who is better at statistics than any software engineer and better at software engineering than any statistician. What about the rest of those boxes? OK, imagine yourself isolating and ordering food at Uber Eats. Once you confirm your order, the app must estimate the time of delivery. Your phone sends your location, restaurant, and order data to a server with the delivery prediction ML model deployed. But this data isn't enough. The model also gets additional data from a separate database that contains, say, an average time for your restaurant to prepare a meal and a wealth of other details. Once all the data is here, the model returns a prediction to you. But the process doesn't stop there. The prediction itself gets saved in a separate database. Your delivery person shows up, and the real time of arrival will also be captured to record the ground truth, monitor the model performance against it, and explore the model via analysis tools to update it later. And all this data will eventually appear in a data lake and a warehouse. In reality, Uber Eats service alone uses hundreds of different models working simultaneously to score recommendations, search rankings of restaurants, and estimate delivery time. If you have that level of complexity, you also need a clever system to update and retire models, as well as prioritize some models over others to manage computing resources. That's a lot to process. Usually, this job falls on the shoulders of data engineers or machine learning engineers. ML engineers take charge of the production side of things. They aren't as much into statistics and subject matter as data scientists, but they know how to configure production models, automate extraction of specific data from multiple sources, and verify data quality before use. Finally, if you run machine learning with hundreds of models deployed, you need a data architect role to make the work of the whole data platform consistent. This person would be responsible for the platform itself and its capabilities rather than how specific models solve real life problems. These six roles are those you frequently meet today, but things will be changing in the future. Look at how people imagined our time in 1982. If you ever glanced out of a window in 2019 when Blade Runner takes place, you didn't see the dystopian architecture, flying cars, or multi-store commercial holograms. In fact, the real future looks like this, or this, or even like this. You can't touch data. You'll have a hard time explaining what data means. But that's what defines the real future we're living in today, and data science and business intelligence will soon be taken for granted. Adam Walksman, head of core technology at Foursquare, believes there won't be data scientists or ML engineers anymore. Since we'll keep automating model training and building production environments, much of the data science work will become a common function inside software development. Thank you for watching. If data is what you deal with every day, tell us more about your work in the comments section below. You may also send meaningful signals to YouTube's machine learning algorithms if you liked the video and want to see more.


Welcome back to today's feature film. I feel like I'm trying to do something different every time and it's not working Well, anyway, welcome back to the average and Steph on the average artist and today we are reviewing this fine set of gem like gouache paints. Did you like this slow ease in? Thought you did. They came in a massive package like this So we're just gonna open them up because I don't need this box Let's unveil. Unveil. Mm-hmm. That's good. Oh my god. Yeah, okay. There we go And it's in case in that lovely plastic we all love again, so let me just attempt with my nails. Oh, it worked Get this off Here's a box Okay, so first of all you have this case and It's smaller than I thought again doing this thing where I don't know the size of a palette that I've ordered but it's kind of Little bit feels a little bit cheaper than the the H.I.M.I ones, but that's not what's important What's important is what's on the inside guys? So, let's take a look at this Beautiful overlay. I like that. That's cool. It tells me all the colors as well. Very nice I better not mess them up. Let's see has a little indent here so you can take these out They're the shape. They're the shape. I love this shape No, it's so lame because you won't actually see the shape when they're inside, but how cute that is. I don't know why I like this kind of like when They do interesting like jelly shapes with paint jelly cup design love it Yeah, so it's looking cute. It's looking very vividy. Vividy is that Can't speak today. They're looking very vivid Which is strange, but maybe a nice selection of colors They've also got this lovely plastic topping, which I absolutely love Taking off so I'm kind of looking at these now like why am I not this It comes with this. Wow It was advertised that it comes with this palette. This is just a bit of sheet plastic That is completely rubbish Oh, no, I'm worried about the state of these paints now if they think that this is a Palette look at it. It's like we're gonna use it because I'm lazy and I can't be bothered to wash up a new one But geez Let's see these brushes Yeah, I'm not Seeing the potential here. This was slightly bent as well So but we are gonna try them out just because I want to look at this as like a kit like a whole Experience you can have This experience. Yeah, I'm gonna test them all out everything in the case because you know You might buy it from Palette You might be like, oh this one comes with a palette and some tape brushes and this one doesn't so let's see if it's actually worth your Time Probably not right. Let's get painting. I forgot that I have to on plastic these I'm just having a hard time about it, and I would appreciate your support through this process. Thank you My god, please please gems, please jammies be good to me There we go Okay, not too bad. Not too bad Absolutely hate Hate because I don't know what to do with the plastic beds and everyone always says oh swatch them but I am not a fan of swatching so They're going in the bin. I'm sorry. Okay. I'm sorry. Oh Beautiful gemmy shape, please be good. Yeah, I'm going to try and paint something that Has some like really interesting lights in it because I feel like that's something I want to get Badara is playing with light in the subject and Yeah, so I've been looking on Pinterest as usual because I feel like it's a good really good reference tool And I just really want to Paint this guy in a cafe because I think it's a really nice photo And I know like I'm kind of taking some credit for someone's photography here, but basically what I want is to just Practice using light and this is the only way to do it for me right now is to just try and See if I can mimic this photography this photograph and There's so many good like painting stuff Painty stuff, you know, I mean there's so many good Artists there that you can just look at for reference like how they've done that brush stroke and how I what do you like about a piece? And like it kind of helps you Pull apart things that you find interesting about the subject So and then you can focus on maybe what you like about stuff. But yeah, I'm just trying to Paint loosely as well because that's what I enjoy. I like to paint loosely and I'm using these so If you don't know gouache is an opaque water color So you can use them sort of like a water color if you want to We're just lots of water, obviously water it down. What can you can use it really opaquely to? Layer and layer and layer. So I really like them. Sorry about the train again. Live by a train Like yada yada, you probably heard this before if you know me do need to like learn How to measure things out without just going for stuff Probably gonna get this like proportions all wrong but I think I just want to practice lighting and Painting a bit better It would be good, I think like I've done this Probably should have sketch this out a little bit first, but I've done it where I've like stretched it a bit too much I'm gonna look at the negative spaces Yeah, you know plasticky palette not great, but Does the job I guess I'm just roughing out the shapes for now. So it's not like that bad, right guys, right? Also, I want to test out these beautiful brushes By the way, the brand for these are Tavo look Tavlo. Oh my god my English Tavo loza Tavo loza. I don't know how you say that, but yeah, seems like they hold a lot of water Not too bad. I think like they hold a lot of um color That makes sense. So I'm just gonna go in with like dark shades right away as I'm impatient So far, they're not the best, but it's still okay This scene is like of a man eating or not eating drinking some coffee in a Diner or something and so we're on the outside looking in and it plays with light really nicely. It just Has like a sense of early morning light and I really want to learn how to paint light or depict certain lights a little bit better in my paintings and Yeah, that's just something that I want to do and I've look I've made this windowsill here, right? So this wall bit should be there, but fine, whatever that you know, that happens I just genuinely want to like rough out what everything is. So obviously it's not gonna be looking great straight away It's a work in progress But yes, yeah, I'm not sure about these paintbrush, but it's it's not awful It's not like flaking off. You know when you have like really cheap brushes that they just completely flake and Completely don't hold water, but this one is not doing too badly. I would say it's it's average. Oh, hey, like me Please don't leave I feel like stuff has to be really really really crappy for me to give it a negative review Yeah, the paints themselves are pretty nice. Like they're just standard jelly Wash by the way, lots of people are confused. Okay, so jelly wash isn't a thing Jelly wash is like I called jelly wash jelly wash because of the jelly cup design They come in and it was just like a nice thing to call it like these are gem wash like it's not a thing It's just wash Everyone's like, is that jelly wash? I'm like, no, it's just squash. There's such thing as jelly wash But you know, whatever It's not looking Terrible, I mean the proportions are kind of there Just need to Work it a little bit more. His shirt is like completely pink. So this is gonna be fun to like paint in and he's got like this huge pocket Yeah, I'm just trying to block in like his features. I guess This old man is just sitting there He definitely has a little bit of a hunchback who amongst us don't Um It's so wonky, but you know, like sometimes we just don't see that And now I feel like I've made it either wonky but like that way This guy's gray hair. So I feel like I've done it really white So I need to get it gray There's obviously like the light highlights from when the light is shining on it But let's turn it down a little bit, maybe Really want to get this like silver chair looking silver I guess it's just about layering colors on colors As well, I've definitely made this shadow too dark So I want to try and pick that color back up again It's supposed to be the same sort of level as that and I just want to pick up the color if I can Not sure if that's looking more silver or not. It's just looking Splotchy, but I feel like the more time you spend just trying to Get the colors right because with this silver reflection It's reflecting all the colors that sees around it, right? So it is actually not just gray, you know, I mean, it's actually seeing this pink Bounce off it seeing the light from the window bounce off it So you have to be like trying to think in that sort of sense Okay, so it's looking a little bit wonky fine. I kind of like it, right? So I just want to do details that show up through the painting now. I Don't want to like spend So much time on this because it's just a study And it's meant to be quick and just like to help me gauge understanding of light But I do want to have it somewhat finished This lighting here looks really weird.   I'm a bit like, huh? What happened to this lighting? It's a little bit odd, but Yeah, let's see. I want to do the the lines of the tiles Yeah Wish me luck, you know me like wish me luck with this Kind of okay Now I just need the lights down which we obviously know I struggle with because look at this wonky nurse The what like everyone just ignore the wonkiness. Okay, just that's just how I am Sometimes in life people are wonky and just yeah, okay Learning experience, you know, it's all learning My brush nearly fell on my hands and that would have been disastrous Okay, it's not looking terrible, but it's not looking Magnificent Oh my god, why did I get so wobbly? Why are you wobbling? Why did I get so wobbly the last couple ones? I kind of like it kind of like it. Whatever. There's also like some really cute like you can barely see them But like leaf patterns on these tiles Which I do like hint at a little bit because they are quite sweet, but it's like a repeated pattern Not bad. Not bad. Kind of getting the hint that it is a pattern. I hope of a tile Yeah, looking kind of cute Oh, that looks quite cute actually. So let's see if I can do it again and again and again Yeah, look it kind of looks cute, right? It doesn't look terrible Oh, unless you do it completely wrong I kind of like that. There we go. I said it. I kind of like that pattern I think I'm kind of done with this painting a little bit. Um that hand still bothers me though I said I wanted to work with um light a little bit more when I first started this piece And I feel like I have done that, but I don't know if I've successfully like discovered how to do Does that hand look worse now? I'm not sure Ah Good times I'm not sure if I've successfully hinted that this is for a window. Um, there is Some highlights on the window That would help me indicate that this is for a window. So I'm thinking Maybe we should try that. Maybe we should paint over the top and I'm not sure how well it's gonna work out, but you don't know unless you try we're gonna try it. Okay. Everyone just breathe for me I don't know why I just I went for it. I always do that. I just go The problem is that this ghost seems to reactivate quite easily. So I just want to hint where there's like light on the window and shapes There's also like writing across his face, but I feel like I'm not braving it off for that step just yet but yeah, there's like specs of Like I hope that this is conveying that Because if it isn't it just looks like random shapes, but I feel like yeah, I feel like that kind of worked Right. Am I crazy? Is that like a little bit? Okay. I like it It's wonky. It's not perfect. But you know what? It's me and I think it conveys that It conveys that it's me Oh my god Okay, I think I'm done I'm always like I could do a little bit more um, but I have to get this video up for you guys And so what do you think? This is the final painting And let's take the tape off. I do like the paints I'm always I have a lot of affair with gouache. I feel like it always Works out for me somehow I do really like this painting. I'm really glad that I pushed myself to try Something different and try the lights Um tried to draw paint something with dynamic light in it, I guess And yeah, what do you guys think basically? The paint brushes turned out not to be awful As I fought. So there you go. That's something And yeah, I really enjoyed this painting and I hope that you guys like this painting and this process But here he is the grumpy old man in the window and I kind of like it I kind of like the wonkiness. I kind of like that. It's not perfect. That's me I'll never be perfect. And uh, yeah, so thanks for watching. Please give me a like if you enjoyed this, um Video it would super help my channel and subscribe if you're not because that'll be nice as well. All right. Thank you. Bye


notice what he did. So you and I grab that corner, sir. We're going to come over. Nope, just leave it right there. Okay, what's all the way across? Now this flange, the person on that far corner, it's tight to the other side. I take that band


All right, Bobby, let her rip. 16. 10. Dude. That was like 80 miles an hour. Welcome to Road to Ride. I'm Bobby F.E.V. And this is the drip. This is Eric. This is Mako. And this is Shawn. I am this! Is the outlaw! Outlaw! This is a sub 250 gram five inch drone. Now when Shawn first put this together, we were really excited about the idea of doing freestyle with a five inch drone that was under this 250 gram limit that a lot of government kind of agrees. Certain rules are applied. Point is safe. This is safe. Apparently it's safe. According to the government, this is safe. But what we found when we flew this is this thing is crazy fast, way faster than any of us expected. I can't control it fast. Like it's crazy. You know, you originally put this together thinking that we could do some freestyle with this, but when we saw it just go, we were like, dude, this is almost like kind of a race quad. So we bought out Mako Reactra here to see, you know, could you do sub 250 gram five inch racing? I'd love to see you fly this around our track here that we got set up at the Chalet and compare it to one of your standard quads.  Yeah, it's a lot lighter. This is missing vital pieces. It has to be. That is a full five inch quad. And it's actually got the DJI system in it. When you first put it together, you did shark bite. I think shark bite system, right? Cause I thought it would be a lot lighter, but I was able to still keep it under 250 grams easily with the DJI. So you add a little bit more weight to the drone build, but you can save that weight by going to a little bit smaller batteries. So on here we got what's still a 650. Which means you still get about a six minute flight time. You guys, until you hold it in your hands and you realize how light it is, like I've been flying the DJI FPV. That's all I've found, right? This is less than the weight of half of a battery. Yeah. Like, it's silly. Let's get some laps and see what this does. It's not all about top speed either on a race course. Plus the batteries now. Right, yeah. 82. Yes. Yes. That's pretty awesome. 82 is really high. 82 well done. You think your race quad's faster than her? Let's try her race quad. Let's see what it does. Let's see what her race quad does. I think her race quad's faster than this. A sum of 250 running over 80 miles an hour. It's safe. It's legal. The government says it's safe. How fast do you think one of your normal race quads go? Maybe 95? 90? Oh, it could be a little faster. Oh, that is quick. I just wanted to start that off just to show you. I thought it was well enough. 99, exactly. And not a single bit faster than 99. That was terrifying. That was nuts. That was a little harder than 90. Theoretically, I bet it'd go 110. Yeah, theoretically, I think it could hit 110. But that was 99 miles an hour. Straight line speed, I think it's clear that outlawed. Well, while it is pretty fast, not quite up to full racer fast. Definitely faster than our freestyle quads. I think our freestyle quad is probably top out at like 70 or so. But there's more to race in these straight lines, right? Well, the big thing here is, normally, when you're pitching, I've been watching these guys race all day. And normally, when you're pitching something heavy around, when we're flying the DJI FPV, it's got so much weight. As you pitch around, and it starts just skidding backwards, because it has all that momentum, I think this lighter quad is going to have a massive, massive win. I don't know, but I also think having a little weight, I personally really like heavier freestyle quads. I think it helps me toss it more. So I guess, I'd like to see how it actually handles. We should have Mako do some laps with her normal drone, get warmed up, and then do it with the outlaw, and see how close can you get. So what's your setup, racing setup? My racing setup, first, I fly the Diatone GTM frame. It has six millimeter arms, so you are golden in a crash. You're going to survive that. I also fly the Caddox Nebula microcam because I fly a little bit of DJI too, so you can fly that with your racing quad. That's nice. Or with your digital quad. I fly hobby wing ESCs, I have a 60 amp, and I fly hobby wing motors. What's a KV on those motors? These are 2450 KV, 2207, 2207, it's perfect for racing. But this is totally a quad you could see at like a normal multi-GP race, right? Mine's a little heavier, a little bit. A lot of people are flying the lighter weight frames, but I really like the durability of this frame. And I'm running the Flight One flight controller, the Revol OSD Falco X. I have a tiny tank VTX by Rush, and I fly crossfire. I just love watching her as she gets to plane out the turns. 1735. 1735, because I've made the Divegate. Oh, that's going to be a good lap. Back in, she's tracking, keeping low, picking up speed. Back across the line. 1494, what a difference that Divegate makes. I mean, you've got like eight laps. Fastest time was 1494. Well, let's go out the fastest time. Wait, so what is that? Why? The Vista's getting really hot and she's trying to change the rates. Oh, here I got it. The button behind it is the back button. So this is a little neck fan. Keep us cool in the summertime. In Florida, because it's hot, but we're going to use it to cool off the Vista because it's always, these things get roasty, toasty hot. See, like every time they go into live chat and be like, talking about Vista's and air units, they're always like, this is the best. I'm like, dude, it says overheating. And they all come at crazy. They all laugh at me. That's the only thing I don't like about the Vista. Everything else about it's fine, but the overheating thing just kills it for me. Air unit for the win. Real low, mowing the grass. 20 seconds was a nice clean lap though. It's like I'm getting better already. See, like, look at that. Oh, great diving. It's like, it just takes some time to learn a whole new drone, a whole new rates. Oh, so much smoother too. So smooth. It's faster. 17 seconds. 17. It would have been 16. 17 second laps on a quad that you've flown three batteries on. 2.1 seconds off of your best time on your quad. I mean, I think it's pretty clear it's not, there's not like an immediate advantage, you know? I think if there was like a big advantage in terms of its nimbleness, like I think it would overcome it. Like I think 17 is a really respectful time for that quad and what'd you do? You did 15, you did 15 on your real race quad? 14.9, yeah. 14, it was pretty close to 14. Yeah. My thought process is that this just opens up the location possibilities for quad races. Like you can now, like let's say, we're at Oshkosh this week, up in Wisconsin. There's 700,000 airplane people there and what are we doing? We're flying tiny whips to the campground because you can legally, because it's light enough. Being able to fly this, obviously you still need to make sure you have safety precautions but not having to deal with the FAA would make things so much simpler to be able to hold races in different locations. Wait, so can I fly 250 gram drones anywhere or there's still restrictions on it? There's still restrictions and it varies country to country and if you have your 107 and you're following the rules it really doesn't matter like that much for what you can do. Gotcha. But in other countries it is a much bigger deal and if you don't have your 107 it also changes things a little bit more and the rules are ever changing but it always just seems that people draw a line at 250 grams. So it's nice to have something under that line and it's cool to see it actually working with full DJI. All right, so Bubby has been getting more into racing and I'd like to see if there's even a shot at him being able to keep up with a more seasoned racer while using the outlaw. And you've also flown that. You're a little bit more familiar with this. Yeah, I've flown it a couple of times back at Vando. This is from Bubby. That is some honesty from Mako. Yeah. Going to be an honest as can be. That's the 180 back in. Come on, Bubby, get through the gate. Into the chicane. Bro, this thing just, ah, I'm still up. Pushing through the chicane. Neck and neck now down to the starting line. First lap complete. Bubby takes it just one second ahead into the corkscrew. We got two and three. Still leading. Bubby absolutely blowing us away with his racing performance into the chicane and just barely keeping ahead of that straight line speed right there. That too is going straight on to Mako. Can she keep it through the corkscrew? Oh, we got contact! Mako's drone took out the outlaw. Oh man, Mako coming in for the finish. I guess there is something to a little bit more weight. Hey, there's no rubbing, there's no racing. That was really close though. I mean, it was back and forth. That was fun. That's impressive that the outlaw can even keep up. All right, let's get some, let's see some good sportsmanship. Good sportsmanship. Good sportsmanship. We all see here as a superior racer here. Mako. Well, you just started racing, so I'm blown away. So Mako had a bad start. She was very honest, went back to the gate. That was very honest, so you went back Friday when you noticed. So you started with a huge lead, but she kind of caught up to you. So it was close for a while though. Her straight line speed's taking you, but your ability to get it through the dive gate consistently was making a huge, huge difference. I think we all kind of came to the same decisions. Like this quad is super fun and it's something that like would never be your daily driver. It's fun to get good at something different. Yeah, it's a lot of fun and if they ever do crack down on the laws and this is the only thing we can fly, it's a lot of fun and we can still do it. But at any day, if you're directly comparing them, full race quad is faster and what it actually came down to was she knocked him out of the sky. It's like being Bowser and Mario Kart.  Guys, thanks for watching. We had a great time. If you enjoyed this video, hit the like button. What do you guys think? What is the best application for these sub 250 gram machines? We're just having a ton of fun playing with them as freestyle, for racing, what would you like to see? What do you think is cool? Leave a comment down below and we will see you next time on Rotorat. Look at Drew as he walks away once again, champion of the world, Drew can do all the walks of shame he can. All the walks of shame he's wanted in his life all in one day. Ladies and gentlemen, put your hands together. The Drew!


So these product groups are really, it's one of the easier concepts I think that we've dealt with. So just to cement, just our easier ideas, but also to cement understanding, we've got to understand these things. Let's just look at an example and what I'm going to do is the product group with two cyclic groups. And the cyclic groups are both going to be the same and they're going to be the cyclic groups in two elements. So let's just look at C2 and that would be this set of only two elements and let's use the symbols one and two. Remember, we're not talking numbers here, these are just symbols and they have this group operation which is this permutation. What are the two permutations? Well, if we look at the two permutations, it's just one goes to one and two goes to two. That's the identity element and then the second one is one goes to two and two goes to one and that would be the second one. Let's give these two permutations just so there's no confusion. Let's make it one, two and one, two. So one goes to one and two goes to two and the other one is one, two, one, two, one goes to two and two goes to one. So let's just give them these are just symbols and let's give them names. Obviously this one we could name E because that is going to be the identity permutation and in most textbooks this will be called the tau, this by convention. So I have these two elements that I have and let's look at this now as not this. Let's make our group then contain these two elements and it is the composition of those two. So if I were to do a Cayley's table on that, let's make it a bit bigger. So you can see there's E, there's tau and there's E, there's tau. What happens if I do the identity element? Well, that's just going to stay the same tau. And what happens if I compose tau with tau? So that means one goes to two and two goes to one. So that means one stays with one and two goes to one and one goes to two. So two stays with two so I just have the identity element there. Now I'm interested in this, I'm interested in the product of these two groups. So these two cyclic groups, so my cyclic group remembers this. This was actually just to mention that this is the set and the set is actually these two. If we just look at the two elements, it's these two elements that we permute and it's these that make up this group. Let's not confuse those two. So what's happening here? I want C2 and C2. Let's look at the Cartesian product of the two sets. The Cartesian product of the two sets. So the Cartesian product of these two sets, that is just going to equal. So I'm going to have this C and say C star such that C is an element of C2 and C star is the element of the other C2. And I call it the other C2 and I'll show you why in a moment, but just leave it there. It's an element of C2. So what do we have? So it's going to be the identity element, identity element, identity element and tau. Tau and identity element and tau and tau. As simple as that. So that would be the four that we do have. So let's have a look at that. Let's compose all of these together. What will happen if this is now what I'm dealing with? E and tau, tau and identity element and tau and tau. And the same I've got to do on this side. Remember? And we have tau and E and we have tau and tau. Now this is our identity element. Our identity element. So the binary operation of those two, this composition is going to be very easy. So we can just do this. It takes a lot of time. You can play this and fast forward. And we have E and tau and tau and E and tau and tau. Now for the rest of the 16. So we've got nine left to go. What happens if I do these two? So remember this is E tau composed with E tau. So this binary operation. And what happens there? It's E composed with E, the identity element. Composed with the identity element, tau composed with tau. So that's what we're looking at. That is how we defined the product of two groups. So what do I have? Well, if we remember from that E, that remains E. The identity element and tau composed with tau. That's also the identity element. So that's just how you do that. Now you can really fast forward. And let's do this. So tau, tau composed with E is tau. E composed with tau is tau. tau with E is tau. tau with tau is E. And see that we have, remember our Cayley's theorem. So we have all of them there. Let's do these two. So E, I'm going to say E is identity element and tau. That's tau. tau and E, that's tau. And we have tau and tau, which is identity element. Identity element, identity element. tau and tau is identity element. tau and this is and tau is that. And now we have identity element and tau, which is tau. tau and tau, which is the identity element. We have tau and tau, which is the identity element. E, identity element and tau is tau and we have tau and tau which is identity element, identity element. I hope you can see there in the corner. So that's the great composition and the composition of all of these. So you can see very simple from the definition that we had how this happens and where it flows from here. Now I've got to clean the board because I've got to show you one more thing. So there we have a clean board. These were just symbols and that's why I mentioned before that's another C2. So let's make C2 and we just have the elements, the set of A and B and the other C2 we make D and E. So if we get the union of these two, we're going to have A, B, C and D. Now we have these four elements. Why keep doing this? There are these four elements now. And let's just consider what happens with these four group elements. So what we're saying here is if we get the union of these two and just for the sake of clarity it's not one, two and one, two so that we can see there are four different things. What happens when we do this, remember this is an element in a group. What happens to that? What we're saying that is a permutation on this union of these two sets. So if I have this and this, what am I going to get? It's A, B, C, D so we're going to have another, you know, it's another, it's a permutation and just means this E refers to these first two and those two refers to those two. If I look at E tau, the permutation that I'm looking at, so my permutation here is just, if I write it in this format it's just A because that means A goes to A, B goes to B, C goes to C, D goes to D and that is just the identity permutation there. So this would be A goes to A, B goes to B, but C goes to D and D goes to C. C goes to D and D goes to C. So this one is CD. That is the group permutation there. If I look at tau E, identity element, then that is just going to be A, B because C goes to C and D goes to D and if I look at tau, tau, what that would be is A, B because A goes to B, B goes to A and C goes to D and D goes to C. So you see it's these four permutations, the four permutations on this set and that is isomorphic to another set which we haven't discussed before but just be aware of it and that's the Klein 4, the Klein 4 group. So this is isomorphic, this set of permutations is isomorphic to this group, the Klein 4 group. But it's clear to see that if we just combine the C2 and C2, these two sets of these two cyclic groups and then we do those four, this is an element of a group, element of a group, element of a group, element of a group, referring to set permutations and you can clearly see what the set permutations mean when we write it like this and just as a bonus remember that's isomorphic to the Klein 4, to the Klein 4 group. So really I think I've shown you that there's no difficulty here with the product groups, they're actually quite, quite simple.


Action speaks louder than words. Always. But many times we don't recognize or understand these actions, especially when they contradict the words of the other person. Communication is what makes the world go round. And communication involves both verbal and non-verbal parts. The only setback face with verbal communication is the barrier of different languages. And once the language is learned, the verbal communication flows. This is not so easy when it comes to non-verbal communication. Non-verbal communication makes up to 60% of what is being shared. This means that other forms of communication, including the words, which most people focus on, make only about 40%. This tells us that more information is shared but missed through body language, which is a significant part of non-verbal communication. Body language gives a glimpse into people's minds, even if they are not aware that they are given off indication of what they truly feel. Mastering the act of recognizing, reading and interpreting body language is a valuable skill if you want to be a great communicator. Body language, which includes eye behavior, feet and arm movement, proximity and some facial expressions is the unspoken element of communication and reveals one's true feelings and gives the observer an edge when dealing with people in business and other instances. Wars, divorces, malice, estrangement and quarrels arise due to a break in communication somewhere and somehow. Hence, the power to read people's mind is in high demand and being able to read someone's body language is the closest we have come in getting that power. While the art of reading people's body language is necessary for effective communication, it is a tricky business and so different gestures should not be handled separately. However, when combined with other gestures, expressions and movements, it tells a story and gives a complete picture. One way to avoid jumping into conclusions when reading body languages is to pay attention to other cues like the context. For example, many people know that crossed arms tend to mean detachment from or resistance to the other person but it could also mean that the person is feeling cold. So, considering this cold weather and checking to see if other body languages tally with the crossed arms, one can arrive at the right conclusion instead of getting the wrong information. Despite being tricky, there are still foolproof body languages which tells us what is going on in a person's mind and so here are eight ways to read someone's body language and get a glimpse into their thoughts. Using these you might get yourself a superpower when it comes to communicating with people. Let's go. Proximity. Naturally, just as the plants grow leaning towards the sun, people lean towards you if they agree with you and are in tune with you. If you are chatting with someone and they are leaning towards you, it usually means you have someone who is into what you are saying. On the other hand, if the person bends away from you or moves back whenever you get close, the chances are that the person would rather be anywhere else than be with you. The subconscious makes the person lean in towards you when they like you.  If not, you can either change your topic into something more exciting or kindly let the person go where they would rather be. Mirrored movements. We move in sync when we feel a closeness with people and this is an essential tip about body language. When with someone and the discussion is going similarly well, try changing your posture or adjust your hands and legs. It has been proven that if the other person is following and is into what you are saying, they would also change postures with you, mimicking you. This mimicking is usually done subconsciously and shows how sincere the other person is into listening to you and enjoying time with you. Hands and legs. Our hands and legs tell a lot of stories about what goes on in our minds but people are ignorant of this fact. The few who are not know just some things about the hands and not the legs. The hands, as mentioned earlier, when crossed shows resistance. It says the person is not agreeing to what you are saying and rejects or blocks it. However, it has been demonstrated that if the person is laid back, he may be relaxed and this takes us to the legs. Taking note of the leg movements is an exciting discovery. If you are standing and talking with someone, studies have proved that the legs point in the direction of where the person wants to be. So if you are in a discussion with other people, the legs point towards whom they would prefer to be talking to. Also, during a negotiation, if the person crosses their legs, chances are, according to research, that the negotiation will not go through as the other party does not accept the terms. Head movements. Many of us know that nodding means yes and shaking the head side to side means no. That, however, is not always the case when it comes to nodding. Excessive nodding may mean anxiety, because the person wants to appear agreeable to you. Bowing of the head also denotes submission and leaning the head sideways may mean that the person is listening to you. Certain studies say that if one supports the head with a hand, it denotes you have a listening fellow. But if the head is supported with both hands, you might have a bored person who can't wait for that meeting to be over. Posture. If someone walks in with an erect posture, with the head pointing to the ceiling and they walk purposefully, it leaves no doubt that they are used to leading and that they are confident. If a person's posture appears expansive and open, they are confident and bold. The reverse is the case when they look like they are trying to get into themselves, slouching and putting their head down. The expansive posture also denotes victory or a sense of achievement as seen in some winners during competitions. Eye story. The eyes have been described as the window to the soul and this might be true. When it comes to laughter, the eyes serve as differentiator between real and fake laughter. The crinkles by the sides of the eye could be present if the hilarity is real. If they are absent, chances are that the laughter is not from within. However, when the crinkles are too much, it could mean that your jokes are not funny and the other person is trying hard to please you by laughing. Also, raised eyebrows show discomfort. If they are smiling, people have said that if people can't meet your eyes, it means they are lying. This might be true, but if they hold your gaze too long, they might be trying hard to make you think they are honest. Generally, eye contact from strangers mean interest. The interest could be positive or negative. Facial expressions. The facial muscles tell a lot of stories too. If one who is sad on the inner corners of their eyebrows do not move up and down, there is a probability they are not as bad as they look. A clenched jaw tells that a person is stressed. Also, an incomplete smile which tilts to one side could denote sarcasm. Other cues. There are other signs the body gives off which are apparent but not immediately interpreted. These other indications include the shoulder shrug which shows that the person does not know what is happening, the open palm which usually means honesty, the other person laughing with you which means a genuine interest in you, repeatedly touching their face which shows nervousness. In an ideal world, words and body languages will match but we live in the real world where there are many inconsistencies even in our communication with each other. Knowing how to read body language helps you learn a lot and demands that you are observant and that is necessary for an excellent communicator. The above listed eight ways to read someone's body language helps show you what others might be trying to say but cannot find the words or are afraid or are trying to be deceitful. Whatever the reason for not speaking the words, the body language tells a better, more accurate story. Body languages are best used with other forms of communication like the verbal and non-verbal forms. This helps give a clearer picture. Aside from helping us to understand others and what lies in their minds, being able to read body language helps us learn how to portray better, what we want to be represented so that we do not give off the wrong signals with our body language.


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40% of our augmentation is from the United States. 13% of our staff are from the United Kingdom. 13% of the augmentation, actually slightly more, is from the UK. They are more additional information from SOF. The activity in the area is building up. The first protection is implied. It's possible VIP onboard. Parallel logic, now laced. At headquarters, it's only about 100 strong. On our books, we have 126 people on a day-to-day basis. We average out, depending on the manning fill, anywhere between 100 and about 150. Parallel logic, now laced. Turkish ship at Tupan, en route, ETA, one five minutes. JFAC, our Joint Force Air Component, has identified right here in the peninsula on the land right here. The operation is provided by JFAC. Balfour HQ is executing the operational planning under G-3 operation. I've also got CBRN, electronic warfare advice in here. And through that door that you walk through in a minute, I've got my targeting section ultimately operate. Now, what we're gonna do is just sort of run a mini-OVT or operation plans session with a few of my lads doing role play. And also we are prepared to support the amphibious operation in the primary landing zone with our special boat unit here, marked with the yellow star. And there's any kind of obstacle where we're removed. Moreover, from the, you can have that. What I'd like to talk about in this particular stance is the whole logistics space. And supporting operations and strategic distance may be complex, but the inherent strength of manning- Intensive care beds, 400 intermediate care beds, and 500 minimal care beds. After the medical brief, I will summarize with some final remarks. For our land-centric terminology, I'm the headquarters company, the force protection company, the signal battalion. This, maybe seven. Again, as soon as the commander is on board, they're able to do command and control. They don't have to wait until they get this. I can push that helicopter five to 10 nautical miles away and use his weapons to expand myself to stage up this cage about 25 years old. My enlisted workers are the key leader engagements on other ships or afloat platforms, land commands that are supporting. And all the way, Shrine Force Native completed that synthetic operation and we embarked. The only other ship that has the kind of command and control capability that we have here on board Mount Whitney is our sister ship, the USS Blue Ridge. A little bit more amount of mobility. And our lessons learned from that embarkation, we have actually expanded our, oh, there are other ones.