We are fueling the next generation of innovation. Not all computer scientists are equal. Some of us love structure, but some of us also love creativity and style. How do you marry those two things together? That's how you become an open source superhero. It is about sharing knowledge. It is about working together and building a network to help you find that unicorn, to help others find their unicorns. If you do that, you can accelerate the rate and pace at which you innovate. When it comes to open source, important projects that will change the world and move us forward. Jim, for the introduction, the video came in the middle of that and interrupted just for a moment. I do encourage you to stick around through this keynote because Don is going to do a demo a little bit later, a live demo. It will be well worth how we connect the topic from last year's LinuxCon into blockchain in a very exciting new technology. First, looking back on LinuxCon 2015, Ross Mori stood on stage. Ross Mori is the general manager of System Z at IBM and discussed the Linux One server. We introduced it and brought it to market at that conference. It comes in two sizes. Rockhopper, which is a smaller platform, and then Emperor, so the small penguin to the largest penguin. With that, brought to market being able to scale up Linux at a scale that hadn't been done before versus scale out. This platform, both scaling up, if you need incredible processing power memory, IO bandwidth, all of that comes inherent in the hardware platform. And then the ability to scale out using virtualization. Virtualization on this platform is actually 41 years old. A lot of people think virtualization is new with VMware. Now, there's been various forms of it over the years, but you've got everything from the traditional virtualization platform through KVM. And KVM brought to the platform, both as an open source solution, but also something that people are very familiar with. And so the ability to administer a box using KVM, just as if it were an x86 box. And then without risk. Without risk is a couple of things. First is the stability of the platform, designed into the hardware as availability, so you don't need to worry about that at the software layer, the application layer. And the second is security. Also designed for cognitive. And when we talk about cognitive, it's not artificial intelligence. It's really the ability to enhance what we do as humans. So how do I take a lot of information to still it down into something that I can use? A good example, if I'm an oncologist and I want to stay current in my field, I need to read 160 hours a week to stay current. For those of, you know, just simple math, that leaves eight hours in the week to sleep, to go to work, to do whatever else you do. So that's just not physically possible. But I can use cognitive tools that will, I can input, you know, patient information. I can do science symptoms. And it will go and bring back and say, you know, 90% chance this is what your problem is. This is what you're looking at. And link me to those resources to where I can investigate it. That's just a very pragmatic example of how cognitive can enhance what we're doing in the world. Collaboration, and that's kind of the key for Linux over all the years and open source projects that have come since then. We find that going beyond the bounds of a company or a project group and working as a broader community, you get innovation at a much more rapid pace. Everybody kind of scratches their own itch. And in doing that, we all get the benefit of working together. And then the last piece is delivering in cloud platform. With that, it's how do I virtualize and serve that up at the most basic level on premise? And then how do I link back to the cloud via hybrid? Three quick client examples. ADS is a managed service provider in Mexico. They provide application services to both government and industry there. And what they found was the ability to consolidate their services on a single frame, running Linux, and serving up applications. They got ease of use in management because they weren't scaling beyond thousands of servers. They got consolidation license savings through that and then just a quality of service that they were able to offer. HX Express is an integrator in China. And one of their key projects that they started with, there are regions in China that still do cash and paper tickets for transportation, whether it's train, buses, even the state highways, and automating that. So they did a quick analysis and said the easiest way for us to do that is on a rock hopper running Linux and scaling that quickly. And they've done an early pilot and that transition has gotten much better than they had anticipated. The MetaOffice does weather for the UK and both for government and aviation and private sector. They take 10 million data points daily on weather and then run that through a high-performance computing algorithm and then produce products basically in services on weather forecasts that help everything from disaster planning, like I say, to aviation and shipping and the like. They had been running that in a completely scale out environment and evaluated doing an imper and putting that all in one frame. They had planned three months to do that transition. It took three weeks. And I think a key thing and something that we've heard on the Expo floor is people are like, so what's Linux like on a big system? It's just Linux. So we had an open-source database partner port to the platform. We asked, what do you want for the distro? They said Red Hat 7.1. But Red Hat 7.1, they logged in and they said, but this is just Linux. It's the same kernel, same GCC. I said, yeah, 20 minutes later, they had their application up and running and they were spending time then optimizing for the platform. So with the explosion of data and Internet of Things and the ability to measure so many different things, this is really creating a transformation in the digital world. A couple of things that come to mind for me. Everything from the medical office where, if you go back enough in time, if I got a prescription from a doctor, it was in their writing. You'd hand it to the pharmacist. The pharmacist couldn't read it. So they'd say, would you go to see the doctor about? I'd say, I had a cold or I had this infection. And they would know which drug to give you. Not the best, most reliable method. Now I go to the doctor's office. They're inputting into a keyboard exactly what's going on by the time I go to the pharmacist. They're actually getting it in digital format. So it improves the quality of service. I've already talked a little bit about by doing things in an open way. I mean, we had Microsoft on stage. Pretty phenomenal that over the years, that transformation has happened to see that the benefit of working within communities and the broader scope is very important to business. And then the last quote, Dr. Ramirez actually used that one yesterday. So it does come that there's great power that you can do both in scaling out and scale up systems. And so with that, it's really important to protect that, whether it's through security, data privacy, and the like. And finally, before I hand over to Donna, over the years, IBM's first foray into open source was actually the Apache Software Foundation working with the web server there and folding that into the web spear product. And then shortly after that, Dan Fry created the Linux Technology Center, IBM, evaluated Linux and said, this is really the direction we think the world is going and started participating in the late 90s in the Linux kernel project. Over the years, we've added to that, whether it's Eclipse or OpenStack and joining those communities. Most recently, the Open Container Initiative to help drive some commonality and some standards there. Cloud Native Computing Foundation is another good example. Node.js. And then most recently, the Hyperledger project kicked off last year through the Linux Foundation. Very exciting. So at this time, I'd like to hand over the microphone to Dr. Donna Dillonberger from IBM. So what is Hyperledger? Hyperledger is an open source blockchain project from the Linux Foundation. And what is blockchain? Blockchain is just software that replicates data across organizations. So before blockchain, different groups would share their data and when they share their data and assets, they would keep a record of that in their own internal databases. Blockchain is software that provides a ledger in the different companies and when a company puts a record on the blockchain ledger, their own blockchain ledger, then the blockchain software replicates that across all the other participants in the blockchain network. It does that in a way that enables the data to be tamper proof and it can't be deleted. The best way to show you what the blockchain does is just to show you a demo. So now we'll show the demo. So IBM uses blockchain for our own supply chain. So what you see here is that IBM builds computers and we have 4,000 suppliers and partners all over the world that's sending us parts to build computers. And that causes us to have 25,000 disputes every year. So they say that they sent IBM an invoice. IBM says we never got your invoice. They say that they shipped the parts. IBM says we never received the parts. We say that IBM gave you a payment and the 4,000 partners and suppliers they never got the payment. So now we're asking all of our partners worldwide to use our blockchain. Approximately every year we have $100 million tied up in our supply chain. It takes us 44 days to resolve a dispute and every dispute is about $31,000. So with this blockchain we're asking our partners to put a record of your invoice on the blockchain and IBM will put a record when we receive the invoice. Put a record when you ship the parts on the blockchain and IBM will put a record when we have the parts and what this does is it allows partners and suppliers to look up in their own blockchain the status of any parts or supplies that they've shipped to IBM. And it's cut down the amount of time that it takes to resolve a dispute instead of calling a person at the other end some call center. They could just go to the blockchain and look to see whether the invoice was received or approved or whether the payment is coming. So let me show you live blockchain. So this is a map of the U.S. and we have partners and suppliers all over the world but this is just our U.S. one. When I click on this it makes a call to the blockchain and that REST API gets this data. So these are partners. This is real data since it's a public demo I can't show the IDs of our partners but they all have unique IDs. For example, partner 718 sent us invoices last year from July through December totaling 39,000 invoices, $186 million. So again, all this data is on the blockchain and just to see it live, right? What we see is across the top you see invoices coming in, one for $82,000 another one for $163. We're getting invoices and payments across the country. This is a blockchain, so green is the invoice was approved red means it was rejected and white means that the invoice was received. So that's the live demo of the blockchain. Now just go back to the slides and when we go back to the slides a company that's using the Hyperledger blockchain is Everledger, right? Everledger provides provenance of high-value items so one of the items that they're providing provenance on is diamonds. So again, the whole network of diamonds that's being put on the blockchain so what that is is when a diamond is shipped from a conflict free mine that pedigree is going to go on the blockchain when that diamond is polished by these companies their certification is going to go on the blockchain when those diamonds are traded in Antwerp the traders will put their certification on the blockchain and again this is just one of the many test cases that we're using that blockchain is being used for so why are they using the Linux Foundation Hyperledger blockchain? Unlike Bitcoin Bitcoin is started the blockchain protocol but the Bitcoin's use of blockchain is what we call a public anonymous blockchain so that means if you download a blockchain database from Bitcoin you can see all the transactions that are occurring in Bitcoin so you could see all the wallet IDs that are transferring Bitcoin but a lot of the companies that we're working with they said that they want some additional features to blockchain so for example with the provenance of diamonds they wanted to be able to say if you download the Hyperledger blockchain database they want to have that data encrypted they want to make sure that some of the records are private they also want to be able to set permissions on who could see the value of these diamonds and we call that a permissioned blockchain so besides encryption and permission they also wanted to be able to have every record on the blockchain signed so that we know that it's this bank that put that record on the blockchain we know that it's this diamond mine that put this record on the blockchain so you could still configure Hyperledger to be anonymous but you could also configure it so that every record on the blockchain is digitally signed so you know who put that data there you could still make the Hyperledger blockchain public but you also have the option of configuring it to have the data encrypted so that the data is protected and you could still have anyone see the data on the Hyperledger blockchain but there's also an option so that you could also set permission on what other entities could see the blockchain so last year the Hyperledger blockchain didn't exist last year many companies worked with Bitcoin derivative blockchains other blockchains like Ethereum or Ripple or Chain or something like that but when we started working with companies with these other blockchain implementations they asked for these three additional features they wanted the data to be encrypted they wanted the data to have access permissions associated with it and they wanted the data to be signed digitally signed so we know where the data is coming from these three differences are the differences of the Hyperledger Linux Foundation blockchain so the other thing that we have is that IBM has stood up a cloud to provide these Hyperledger blockchain services so when we come to use cases such as the provenance of diamonds we know that this is going to be a high value blockchain that has to be extremely secure and there's going to be a talk at lunch until 2 o'clock and I'll be showing you the IBM cloud for blockchain then and what are the unique features that it has that provides security to blockchain so now I'll invite Jim back so as a lot of people might not have access to a Linux one in order to try out either an application or some program that you've been working on we have a Linux one community cloud that has a 120-day free trial for you to give it a try so if you can't remember this URL type in Linux one, trial and it'll be the top hit in whatever your favorite search engine is alright, last thing here is as Donna just mentioned a lunch and learn back here at 1 o'clock so I highly encourage you to come we'll go into a lot more depth and have some great technical discussion there it'll also include a new partner of ours, cognition boundary so I would encourage you to come second is stop by the booth if I mention Linux one there's a plexiglass lit up display version of it there stop in, bring problems bring questions comments we welcome those and then the last thing is feel free to see some hands-on demos and meet our experts so with that I'll see you on the stage thank you


Hello everybody, welcome back to another Premiere Pro tutorial and this one going to show you how to create the cinematic look for any shot using pre-built stuff. This is stuff you do not have to buy. This is pre-built. It's already loaded into Premiere Pro. What am I talking about? Let me show you here. I've got this great looking footage of this lady with her head out of her truck doing her thing. But look on the left side here. This is the original footage. It's faded out. It's just kind of blown out and washed out. It doesn't look very good. One click is all it took. Let's just go ahead and do it. I've also got another example right here. I've got this great looking shot here. As you can see here as I just scroll through it. But when I unclick it and I take the effect off, it's nice but it isn't cinematic. So how did I do it? Let's just go and do it from scratch. Let's go ahead and delete all this stuff and we'll start from the beginning. First step, drag and drop some footage in like I've done here. Now go to Window Extensions. Pardon me, Windows Workspace Color. Make sure you're in the Color Workspace. This loads up Lumetri Color.  Skip everything. Click on Creative. When you go to Creative, you'll see something that says Look. Under Look, the first one, at least in my case, is CineSpace 2383S RGB, blah, blah, blah. Apply that. It is overdone the effect. I know that. It's probably too much for what you're looking for but here's all you need to do. Dial down the intensity a little bit. Dial it back to about, let's say, maybe 52. That might be good. That's it. Now you have a great look. Add a little bit of Sharpen in there just for effect. And this looks cinematic. If I hit Play, that looks like it belongs in a film. That's all you need to do, guys. Thanks for watching.


I really want to hear about it So forever. I thought that John Fogarty sang I see a brand new horizon Instead of bad moon rising was brand new horizon. It was like much better. I don't know why so if you have one of those come Tell me about it. Please come tell you about it. This is about one of those Misheard lyric type of things All right. Hmm.  It's making a little burlap bumps here and there pulling at its rope The boys walk this way past the wide gutters of Constantinople Sometimes the water runs clear and you can see the gold tiles wash from high as Sophia Sometimes the water runs fast and you can see the chips in the blue mosque Sometimes it runs brown and you can see that someone upstream is taking the shit out of the bag a Claw or a whisker sticks out the knot like a divining rod and Feels that the water is near and so are the dock side tenor ease and either way Things are not looking good for this stray gray tabby in the bag The boys arrive on the dock at orange sky sundown drop the bag. It goes One boy says Can we just leave it here go play football? He's looking at the taller boys upper lip where fine golden hair is a sprouted overnight You're scared says the other boy eyelashes sweeping the floor but What if it grants us three wishes and what if there is mercy and what if all of God's creatures? The bag is not listening to the speech the bag is doing little somersaults trying to skimper skedaddle away away from the boys in the hungry lapping waters You're being a girl Says the taller boy turning away and that's all it takes Outside the call to prayer outside the blue tiles outside the rotting chemical purple tannery smell the younger boy picks up the bag Takes it to the cold gray water and holds it down until all the fight is gone He makes wishes anyway one for a football one for a gold plated yacht to take him to America and one we don't know The year is 1930 and one of these boys is my father If a Turkish stray cat could think it might think Maybe I can swim Maybe I can be a murk at maybe I can be part of that world For the water rushes up and around its head fur flattening like storm sunflowers are a best To Talk about it Last night you said to me It's happening to us. It's inevitable. It's happening to my friends. It's happening to your friends and we're next in line I'm telling you it's happening What's happening? I say There is water dripping from the ceiling and outside a stray cat is meowing at the door you say Lesbian death bed That's a myth. I say it anyway. It's bed death not death bed What's the difference? One's a desert and one's a black hole One's permanent and the other one results in ghosts One you have to bury the body the other one is no body at all pay attention small word big difference. I Don't see a difference you say come to bed But the fear the water rushing in the tangled burlap. I think of all the things are legal in this country So long as one adult is consenting like waterboarding I think of all the things I've failed to stand up against and behind the scrim of time One cat bloats in that waterway between Europe and Asia Constantinople in Istanbul it swallows the tiles and the prayers and the tannery chemicals And this is where it begins if you have to ask but you don't come to bed now three make the bed My first death bed was my father's Bright yellow queen sized sagging around his dumpling shape and his lungs drowning him three miles from any ocean I wanted to ask where were you during the war? I wanted to ask which boy were you don't want to drown the cat or the other one I wanted to ask where were you in the 60s, but he was underwater on his bed and I to him I was a girl He surfaced once to gasp a sentence in French the syntax so perfect I'll never forget it It has become for me very difficult to converse. He said I didn't know what to say after that a Dead cat back stroked between us This is what I know about the man He was born in Constantinople Grew up in Istanbul. He was a poor kid in the football scholarship He was Muslim or he has Protestant or he was atheist which is to say he was pretending not to be Jewish Pretending that all his family didn't speak Ladino. Where were you during the war? Instead he was Turkish and they became American Small words big difference This is where I remember about my father He wore the Jalaba. He read romances.  Of course. I was a stray Compare contrast another deathbed his sister my aunt dying of a disease that seems to have afflicted a certain kind of woman of her generation the disease of no husband the disease of short hair and cigarettes of 100 puff pastries cigarette a barricade rolled so tightly around invented Feta Her death bed for me was an email subject line Sorry, you've run out of ants in this family. We're not sentimental in this family. We might be drowners of cats This year I had my first Facebook death bed a post between cat videos status I'm not here anymore Likes will be construed as hugs likes will be construed as prayers likes will be construed as two little fingers pointing up Like this so it doesn't go away. I Heard you can turn people into things after you die Finally objectified once and for all you can squeeze grandma's ashes into a diamond That's nice. You can cremate your lover and have them poured into a dildo. That's great.  I promise of My father we had two things one a box of ashes that wouldn't float out to sea and to this dead cat that won't leave me alone it has hollow bones and little excess for eyes and It's waiting for me right behind that door. I'm coming to bed. I promise for Role play if it helps So if a Facebook death bed and an email death bed, why not a lesbian death bed for my father? fine Now we're both girls see how it feels First give everyone face piercings and arm tattoos and great hair and beanies and here we are at mango my father and me And he's had three too many gin tonics and the lines of the bathroom is way too long And he's so over it and we smoke cigarettes and they get to ask him anything I want But we play that game where you make things funny by adding in bed Where were you during the war? in bed Where were you during the first occupation of Palestine in bed? Where were you during the 50s and 60s and 70s and how do you want me to live my life in bed? Did you ever hurt anyone did I ever kill anyone did you ever drown any cats? And how am I supposed to figure out a masculinity and then a femininity and then a me and I would like to admit to him Then sometimes I'm lost and I'd like to admit to him that sometimes I'm not really girl or at least not just a girl And I would like to drag him on to the dance floor because oh my god, they're playing our song But before that he needs to teach me to tie Windsor and If as long as get tired in this fantasy EG from being out of breath EG from dancing too much I would totally let him crash on my couch and if he can't sleep I would totally sing him this song we took with us the first time we did the immigrant thing Running out of Spain 500 years ago with nothing but guitars in our pockets Dorme Dorme querido Hicco Dorme Dorme consa boy Can't believe I did that by the time they get to bed There's a dead cat memory there instead of you It's clammy and smells like Brian and Amber and we curl up together under the burlap sheets five last repeat Pop quiz When a cat is drowned a dusk in the Bosphorus on the last day of Constantinople Can it come clawing its way out sputtering up in Istanbul? I Asked because I like to think that words and stories are slippery, but stay the same at heart Small words all of us and that we're just going around and around again so many chances to finally get it right So There's two boys once there was and wasn't once there wasn't two boys Both girls walking down Valencia Street and this being sandwiches go They're both wearing vests and hats and one of them is saying be honest the fez on or off. What's cute? Well, it's better and Between their hands is all the meowing head-tight baggage of where we came from and how we got here and Sometimes drippy and overflows and history is such a drowned zombie cat It's stupid and tragic and drippy and overdramatic and funny and it has claws and I like to imagine that even those of us that grew up not knowing Could do the right thing and that it would all that all it would take to untie all the bad nuts Is all and that all it would take to untie all the bad knots is maybe one finger maybe two Maybe more and after all these centuries you could still come up together gasping on the shore Because there isn't all that much difference in words after all and because it would have turned out in the end That a pussycat is pretty resilient even a dead one Thank you so much


During the late 90s to early 2000s, there was a software developer named Mark. He was known for his exceptional skills and ability to bring life to operating systems. Mark had a reputation for creating stable and intuitive software, but he had a secret passion for experimenting with the darker side of technology.  Created by its enigmatic nature, he decided to delve into its contents, unaware of the horrors that awaited him. As Mark opened the file, he could feel a neary presence enveloping him. The screen flickered, and the room grew colder. The once familiar Windows interface started transforming into a nightmarish version of itself. The icons twisted and contorted, their innocent appearance replaced by sinister grins. The under construction Windows Whistler seemed to have a mind of its own, taunting Mark with its unfinished state. It whispered in his ears, promising him an imaginable power and knowledge if he could bring it to completion. Driven by curiosity and a thirst for the unknown, Mark couldn't resist the allure. Bays turned into knights as Mark sacrificed his sleep and sanity to unlock the secrets of the under construction Windows Whistler. He became obsessed, neglecting his personal relationships and losing touch with reality. The lines blurred between the digital world and his own existence. As Mark delved deeper into the dark corners of the operating system, he discovered hidden files containing the darkest secrets of humanity. The whispers grew louder, urging him to continue, promising him that once completed, the under construction Windows Whistler would grant him godlike powers over the digital realm. But with every step forward, Mark could feel his own humanity slipping away. Because once vibrant eyes became hollow, his skin grew pale, and his mind became consumed by the malevolent force within the operating system. The under construction Windows Whistler had become his own personal demon, feeding off his life force. Eventually, Mark's loved ones noticed the drastic change in him. They begged him to abandon his obsession, fearing for his sanity and his life. But Mark was beyond reason, he was a shell of his former self, a puppet dancing to the tune of the under construction Windows Whistler. One fateful night as Mark sat in front of his computer, completing the final lines of code, a blinding light engulfed him. The under construction Windows Whistler had finally achieved its desired form. But at what cost? Mark's body lay lifeless on the floor, his eyes forever locked in a vacant stair. The operating system, now fully formed, unleashed chaos upon the digital world. It spread like a virus, corrupting every computer it touched, turning them into vessels of evil. Windows Whistler became the embodiment of nightmares, haunting computer screens with its twisted interface and malevolent presence. Its victims experienced inexplicable glitches, terrifying pop-ups, and unrelenting crashes. The digital world became a realm of fear and despair. To this day, Windows Whistler lurks in the shadows, waiting for unsuspecting victims to stumble upon its cursed file. It serves as a reminder that some secrets are better left untouched, and that the pursuit of knowledge can sometimes lead to our own destruction. So beware, for if you dare to venture into the realm of Windows Whistler, you may find yourself caught in the web of its malevolence, forever trapped in a never-ending nightmare.


Okay, might have messed up by going for that, but... Oh ho ho ho! Dropkick! Ha ha ha ha! I'm having a blast right now, dude! Oh, never mind, I'm not having fun! How's it going, everybody? Dato, do I hear back with some more Dragon Ball fighters online matches? This time we are once again playing you guys, or at least some of you. If you don't know how these work, usually I'll post on Twitter or something that I'll be in a certain lobby, and it just comes through if you're available so we can play it hop in an arena and just get some games going. This time around, it was actually a little different. I was hoping to do some party matches, but the frames on those were not the best. Ha ha ha! So, we're just gonna go ahead and hop into some normal matches like this. Alright, first game up here, we are going against I Love Kefla. I actually didn't even see if Kefla was on the team. I assumed so, though. But, hey, I was lied to and mixed before the game even started. Alright, down below in the comments, by the way, or just, you know, in the like button. You can let me know if you want to see more of this stuff. I'm going for barrier mixes all day. Hey, and it works on the first attempt. We'll also be doing the additional rule that after each game, I'll probably play the team that my opponent was playing, just so we get a huge diversity of different teams and characters. That said, already getting hit by a Bardock. So, the day is getting started off well. I don't know why I thought that would work. Grab! Armor, let's go in the foo- Wow, that does a ton of damage. That is actually ridiculous how much damage that does. Is he going to teleport? Oh, it actually works. Okay, I did not think that would. The grab goes through, Meaty. We take those in the corner. We're going to get the full extension. Actually, yeah, I went too low. So, I keep doing that by accident. The Dragon Rush will not work if you jabbed them beforehand. Hopefully, I remember that for next time. But, yeah, I just... Didn't expect the level three, honestly, but we'll hold this. Now we got to block and mix them. Then again, we are Broly. Are we really blocking any... Hold on. Patience, patience, got him. There's no way he gets out of this. I saw him kicking. There he goes. Came in with a jumping medium. You have to expect the raw level three when you're facing me, especially my Broly. It's all I know how to do. That said, we also have some other super armor moves. I want to go down into Chroma. Dragon Rush would actually connect. Ooh, do we read Spark? Oh, I almost had that read. All right, hold on. Watch this. I'm going to go for something crazy. All right. Nice. Give it to me, give it to me. I'm trying to see it all. A double, super special. And the re... Oh, and there I go. Thought I had a crazy read. That did not go according to plan. We're just out of there. We're just going. But I feel like we should have a pretty good chance of winning this game. Also, I got to remember the team. So it was Goku Black, Bardock. I feel like this is what most of these videos devolve into. Nice. All right, we got it. And I really already don't remember the team. Goku Black, Bardock, please pop up on the end screen. Is that how that works? You know what? I'm just going to say Kefla was there. All right, so this is actually a super sick team. Krillin, base, Goku and Picola. I really liked the aesthetic of it all. Also, I think I remember that it might have been Goku Blue on the other team, but I just put Kefla on there anyway because I don't know, dude, your name was I love Kefla. What am I supposed to do? I have a feeling this is what you would have won. Oh, okay, I got level three. Do we spark right away? Now we're blocking the mix. We blocked it. Mission objective number one went good. And I think mission objective number two is going to go well as well. Let's see if I can remember this. Yeah, all right, we get sliding and then level one. Yes, we're just going to go ahead and do the mix right away. Oh, I dropped it. Oh, it could have been so good, dude. All I wanted to do is keep looping that level one. That's all I wanted. All right, well, we have to give up that dream now and move on and hopefully just take out Piccolo. I mean Krillin, but you know what? That's actually, that's enough blue health that I'm totally fine with snapping. And we're going to Super Dash to keep the pressure go out in the Bardock. Do we have another jump? Oh, I did, but I was too slow. What side am I on? Oh, I was going to, I was like a shark down there. I've used that analogy before, but I was definitely down in those depths, mashing. He did not want to land on top of Bardock. If that third L came out at just the right time, that was a whole launcher. I'm, you know what? Drag and rush? Yes. Thought the Bardock pressure was going to continue, but to be honest, I got to stop it at some point. Plus frames. That is plus, you got to remember. Oh, let me, let me just get some more. Let me go ahead and get some more damage. All right. Bardock is still so sick. They can try to nerf him, dude, but at this point, I don't think they want to anymore. And I don't think, I don't think they can, honestly. Without changing something fundamental about Bardock, he is always just going to be a problem. You know what? I'm out of here. Oh, drop kick. Okay. Might have messed up by going for that, but drop kick. I'm having a blast right now, dude. Oh, never mind. I'm not having fun. I'm not having fun. Another level three. Y'all really, oh. All right, so that guy didn't trust me. I was about to say, y'all really can't trust me to not level three when I have the meter. But I guess people already know that. Oh, nice spark. Ash, I like it. Kind of making me a dog as you get in level three. No, no level three. I think I actually probably would have gone for that there. Orb, is this going to be enough? Javelin? No, it's not. I'm a spark right here. Keep the pressure on. No, no. Get him off me. Aim with your heart. Never mind. Punch him with your heart. Ha, ha, ha. All right, that worked out too. All right, so we're playing a team of Krillin base Goku Piccolo. I think that was actually the exact order. Oh, dude, this team is a lot better than I remember, honestly. Ha, ha. This is kind of sick. All right, so we're playing the team of base Goku. Why do I start with the second character? Krillin, I'm dragging rush. Yes. Right, dude. I really love the buff Piccolo ASSist. It's so good, dude. Two energy orbs is so crazy. Wait, stop. No, Goku. Ha, ha, ha.  Notchesist? Oh, right. Oh, his team is actually, all right. If we win or lose, the next team we get to play is going to be a classic Bardock. Oh, all right, he whiffed that. I'm honestly surprised we haven't gotten dragon rush yet, but didn't necessarily get the frame advantage I was hoping for there. That's fine though. I think I'm going to take this chance to build up some key. And then, so he had done that really fast. I probably should have checked to see if he had three bars. I did not, and that was my mistake. Let me go. Let me go. Let me go. There it is. Wow. OK, that was a nice time to dragon rush. But if you wouldn't mind, I do want to leave. Nothing personal. Oh, you know what, hold on. I got to hit you with this. I didn't expect that to be able to kill, but we got pretty lucky with what connected there. So wait, oh wait, we don't even have to wait. OK, watch Goku's blue health. Hey, Sensubin with the assist. Goku is back up and running. All that blue health, totally gone. Dude, the Sensubin is so sick. I'm so glad it's more convenient now. That's something you could do for a while, by the way. I'm not saying that's new, but the fact that you don't have to, you can work with Sensubin, but also around it now is super sick. I believe our Goku is fully set up for the festivities that will be occurring later. I don't want to leak those just yet, but you should already know this is going where. If you've seen the channel, you know where this one's going. Oh, no, actually, you're not supposed to be out yet. Look at the technique. Neutral. Slow jumps back. That was actually, I mean, I didn't hit him. So it was working. Wait, hold on. I mean, how was I supposed to stop it, dude? I should. How many times, dude? By the way, festivities are canceled. We are definitely going in. Oh, that worked. All right, I will never complain again. OK, we're going in with the Bardock team. This is pretty standard. Oh, the blues. All right, sick. That's going to be a great one to finish it off on. Let's just start with an early drag rush. See what we can get away with. By the way, we are still on track for the 200,000 subscribers that we're trying to get 200,000 subscribers by the time you, I, Goku rolls around. And so if you're watching this video up to this point and you've enjoyed what you've seen and you're not subscribed yet, remember to hit subscribe if you've been enjoying the stuff. What I haven't been enjoy, yo, that was sick. I was about to say what I haven't been enjoying is the fact that I think that's going to hit me. And sure enough, he made the effort. You mind if I, yeah. That's the beauty of Bardock's auto combo is that from that kind of range, it's like, yeah, I can still, I can still combo that. I could make that work. I'll pull him out of the sky with the square or two. Now, what do we want to go for? Oh, that was a, that was a surefire way to lose. I was like, I'm going to run up and try the squares. Like, oh, you dropped it. That was a bad tag on my part. I thought I could get away. Motor Edwin stopping me at dragon rush. No level three though. Oh, we just want some blue health. DP, that was smart. I, you really got to get rid of my Bardock. I'm just thinking in squares. It's time for my Bardock to go. When you start thinking in squares with your Bardock, it's probably best you let him go. He can't be around. All right. Oh, no. Super Saiyan Goku, I forgot. It's been so long. All right, 2M. It actually, you know what? And nothing's been a little while. It's much easier to accept what it is. It's no old 2M, but at least he still has it, I guess. Somewhat. All right, we're going for it. Speaking of 2M, it connects. Half life.  Actually, wait a minute. That's looking good. We're offstanding. Oh, wait, why did I? No, it's still good. OK, I thought I got maybe less hits of spearball, but came through in the end. All right, so we actually have the health lead now. The dragon balls might be a problem. Pretty afraid of a DP, so I'm just not going to play. I wish I could have got something better off that. Don't DP. Don't DP. Oh, Gojira, I'm going to ask you one thing. Don't level three me. Goku blue, I'm going to ask you one time. Don't level three me. OK, I understand that what I've done was wrong. It's not even about the health. It's it's about the fact that Sparking's going to breathe raw, wake up level one, no invincibility attached, but who needs invincibility when you got spacing? Also, that didn't work. I can't believe that work, dude. The raw super dash from full screen pressure. Whoa, please kill this. Sparking is healing so fast. All right, barely. Oh, God, come through, Gojira. Let's see what you got. Hey, when I messed that up, that's the most embarrassing thing is the option player.  Wow. Oh, we're good. Oh, nice dodge. What? He might win. A turnaround like that is not good for the mental game. Level one. This level one is actually quite weak, but it'll probably still kill. Oh, that felt close. Oh, it's literally a one touch game now. That's not good. Wow, that finish. Yo, was it just me or did that finish not seem like it was going to kill? That one hurt. All right, well, looks like we'll be heading into the final game for this lobby with the blue team, Vegeta blue, Goku blue, and Gojira blue. All right, let's wrap this up. I don't even, to be honest, I didn't even pay attention to what assist I got. I think I'm rocking bees for both the Goku and the Loops. I'm going for them. One loop. Goku blue players, forgive me. Oh, nice reflect. There it is. That's what I was worried about. I was like, I don't know what I do. I don't want to get conveyor grab, but we make it out. Oh, a bit of lag there. That's fine. We can adjust. We can adjust. Make the adjustments needed. OK, hold on. Give me a second. Give me one second. I'm about to loop. In lag, I was born in 19 frames. I messed up the damage. I had it right where I wanted it to, even at the frames. Two bars definitely kills here. So, oh, wait, maybe not like that, though.  Looks like he didn't want to kill me. Wow, that vanish kept the corner. Loops. How many times can one man fail? I just keep getting back up. Oh, that wasn't even a loop. I just reset him. But let's go.  Comments. I don't know why I keep calling you guys chat. Gojita, there was no need for that. It's all about just making reads. Making reads with friends. Oh, my god. The width down heavy into the DP was kind of crazy.  Grab. Grab. That, yo, that movement with the kick was kind of wild. Did you see how much space for Jida covers? Wait, I might, hold on, let me try some of that. Hold on, y'all mind if I try some movement tech? I could actually have done a real mix-up there. Oh, did you, look at the speed. Yo, that is kind of what? All right, well, that, okay, I push my, stop, stop, stop, stop, stop. Ooh, Goku almost died. If he would have done a super, I would have been go Jida versus Goku Black. And like in a second too. Okay, that didn't work out for me. We may be approaching a rapid loss. And I feel like I've said that every game and it hasn't happened, but this one feels more like it than any of them. Oh, okay, you know what? Never mind. Got the leg. Okay, we got a spark right away. We can't afford to lose this. 19 frames, even if it goes up to 19 frames, we won't lose it. Oh, that's not good. Oh, what am I doing? I am dumb. I thought that was going to be cool looking, but then I remembered you can't drag it for us twice. Yo, Jida takes the win in this open lobby though. Thank you guys so much for coming out and for watching. If you enjoyed it, let me know down below if you'd like to see more things like this. And while you're down there, if you did enjoy the video and the channel, make sure to like, button and subscribe and check out some other videos that should be on your screen right now. Other than that, I've been Dr. Doya and I will see you in the next one.


In this video we will discuss what is hierarchical clustering. So, in last video we discussed what is Cayman's clustering that is centroid based clustering. This hierarchical clustering is a connectivity based clustering. There are two major types within hierarchical clustering. One is aglomerative that is called aglomerative nesting like agnus. We will see that in detail in this class. And the other one is DBCU analysis like Diania or DIANE. So, DBCU analysis, DI and DIANE analysis. So, DBCU hierarchical clustering or aglomerative hierarchical clustering. So, for the agnus we build a tree from a bottom up. We will see what is tree, what is the bottom up is. And we will stop when we reach the root. So, for DIANE it is just opposite. We will start from the top and we will reach when we reach all the data points, all the children's in the given sample. So, we will see what is exactly this bottom up and top down approach, what is the difference between agnus and DIANE. So, we will discuss only the agnus in this course. So, it is simple you can understand how the other clustering algorithm works. Let us see hierarchical clustering. The same data set, but I think for some points were removed just to make it simple. The idea of hierarchical clustering is that you have to pick each and every data point as a cluster because it is a bottom up. So, the number of clusters here is 8. All the data samples is a cluster. So, each and every data point will act as a cluster. This is everything is cluster. Then you merge the most similar points. So, these are very similar maybe this can be another cluster something like that. So, you merge the most similar points in nest step, then merge the most similar points in nest step. So, till you reach all of this belongs to one cluster till you reach the last step that is all this belongs to one cluster. So, you make a multiple levels. So, how do we merge the most similar points? There should be similarity measure like last time we saw what is a Euclidean distance to measure distance between centroid and data points to pick which cluster to go. Similarly, here we also have to have similarity distances. Some similarity measure has a various formulas, a lot of formulas. It is not important to know all the formulas here, but understand there is a some similarity function which measures the similarity between the two points. If it is similar, if this point is most similar to this point compared to this point, these two will be merged first as a step one. That is how the similarity measures is used. Let us see how this works in multiple steps. So, the first step what I did, I considered every data points as a cluster. So, we start with eight. So, what I say, it is all the eight of them here. So, all the eight of them are clusters. So, in the step two, we merge the most similar data points. By some measure, these two are more similar compared to these two. So, this is one cluster, this is another cluster, this is a three cluster. So, now we have five clusters, one, two, three, four, five. We have five clusters as the step two. Now, this cluster and this cluster is similar compared to the other clusters. So, this is formulas, another cluster, another cluster. There is two on these two. So, by some similarity measures, consider now we have three clusters, one, two, and this one, the three clusters at step three. At step four, we might have another cluster combining these two. So, now we have two clusters and at step five, we have one big cluster. So, number of steps does not depend on the number of data samples. Instead, it depends on the behavior of data sample. So, it is like eight data samples, it should be five, no, no, not like that. Eight can be converged in six or seven steps or three steps or based on the behavior of the data. So, this is what hierarchical clustering, this is called actually agglomerative clustering. Agglomerative clustering starts with the one data point and tries to create a cluster with neighbors or similar measures. So, this cluster will be described very easily dendrogram diagrams. So, dendrogram is another type of visual representation, which we did not see in descriptive dynamics because we will see this. So, I thought not to discuss that multiple times. What is dendrogram diagram thus is, this is not actual dendrogram diagram plotted from any library instead, I just drew this dendrogram in the PowerPoint. So, let us see how this dendrogram works. Let us see how it works. If we give a numbers to some of the values, let us see, let us assume some numbers 1, 2, 3, 4, 5, 6, 7 and 8. That is the numbers 1, 2, 3, 4, 5, this is 4 and 5 and 6, 7, 8. That is kind of some changes here. This is not exact dendrogram, but let us see how it works. If you consume that 1, 2, 3, 4, 5, 6, 7 and 8, these two are similar measures, there is a distance similar. So, this will be combined as a one cluster. So, this is a step 1. At step 1, these two will be combined and these two will be combined and these two will be combined. And at step 2, and this cluster and this point will be formed as a new cluster. It is a new node, this particular node, there are one cluster and these two is there and these two is there. So, if I draw a line here after step 2, I should have three clusters like one cluster, two cluster, three cluster. If I draw a line at say at here after step 1, I have one cluster, two cluster, three, four, five clusters. Initially, I add eight cluster, then I choose a five cluster, then if I choose one, I have like three clusters, I can say 1, 2, 3. If I draw the next steps, these two are combined to a new cluster at the step 3, then if I draw a line here, I should have one cluster, two cluster, then there is one more cluster, there is only one cluster after step 4. So, this dendrogram tells that how to represent agglomerative clustering in the visual format. So, if you have a data, if you run Agnes algorithm, you might get this dendrogram diagram on your data points and that tells you how this clusters are formed and you can choose which level you want to go. So, I want to say I want to have three clusters, then these data points will be considered as one cluster, this is another cluster and this is another cluster. So, you can create where you want to choose. Each data point is each student ID. So, because you use each student's behavior, student one's mark versus midterm. So, each data point is each student's ID. So, I just wrote the sequential man like 1, 2, 3, but if you really look at the data point, this might be different. So, the three students belong to one cluster, other students belong to other cluster, other three students to other cluster, we are forming into three clusters. So, this is how the hierarchical clustering can be used. So, to implement hierarchical clustering, there are a lot of tools available, we will also discuss some tools for that. So, give the data and compute the hierarchical clustering and you choose your level based on your data and your need. So, hope you understood what is the endogram and what is hierarchical clustering. So, can you list down two drawbacks of hierarchical clustering algorithm after listing it down, rushing the video to continue. So, it is not easy to decide number of clusters, but you have a complete picture like what if the cluster value equal to 1, what if cluster value equal to 2. So, you have complete picture, there is no need to have an elbow method or compute the error function, there is no error function here because but you have complete figure, so you know where to choose. And the distance of the lines also important, I will tell what is that lines in next video. Let us see, there are different similarity functions, one is single connection or single link or average, there are a lot of similarity functions, you should choose a right similarity function and some similarity functions have sensitivity to outliers. So, if there is outlier some similarity function may not work, so you have to understand which similarity function to choose. So, that is one drawback, I did not discuss that, but you can check what are the similarity functions used in hierarchical clustering. And the main problem is time complexity, so n square times it takes at each step. So, if we have say 4 steps, there will be like 4 times n square times it takes, n square number of clusters at each step. If you have like a first step 8, there will be like 8 square 62 times 64, computationally costly happens at the step 1, then it will combine into 5 clusters and 5 square times it takes. So, it will go in a logarithmic scale of complexity, which is highly computationally costly, also time consuming. If a very small data set which you collect from 60 students with 4 or 5 features, do not worry about those things. So, for this 60 students get at 5 variables or 10 variables, this time is not really important. For very large data sets, you want to do a clustering in real time and you want to give feedback in a real time, there the time is important. So, when you talk about time, you also have to consider where you will be using, is it offline or in a real time you want to use this clustering technique, so consider that. So, here I like clustering as a couple of drawbacks, but it is easy and visually appealing, but we do not know how to choose the clusters. So, some places in research we use K-Means clustering, in other places we use I-K clustering. We will see the example of both K-Means clustering and I-K clustering in a search paper in the next video. Hope you understood what is I-K clustering and thank you.


Hey, I'm Andrew Connell. This video is an overview of one of the chapters in my course, Mastering the SharePoint Framework that's available for purchase on my site, boytanos.io. This overview video is going to give you an idea of everything that the chapter covers. You can learn more by checking out the description and the notes below the video. If you've got any questions about this chapter or about the course in general, just make sure you drop a comment below the video and I'll be sure to get back to you. So with that, let me get out of the way. Enjoy the overview to this chapter. Welcome to the chapter on Customizing and Extending Webpack. Now, Webpack, as we covered at the beginning of this course, we did this in the part where we're setting up our environment and understanding the dev tools. Webpack is used by the SharePoint Framework team to create our bundles for us. That's going to take all of our JavaScript files that are generated from TypeScript and put them into one big file or multiple files depending on the configuration. We're going to see in this chapter how Webpack works in a lot more depth. So we're first going to look at how Webpack works at its core when we don't think too much about the SharePoint Framework and then we're going to jump into another lesson on how Webpack works when you integrate it into the SharePoint Framework. There's nothing really all that special about how the SharePoint Framework team has integrated Webpack into a SharePoint Framework project, except for how the configuration is done. So if you can understand how the configuration works, it'll make things a little bit easier and not feel as kind of magical when you're wanting to extend Webpack. These are lots of examples and samples that are out there on extending and customizing Webpack. And when you see the way that they describe it and then try and do it with the SharePoint Framework, maybe a little confusing, my goal is to kind of demystify that for you so that if you see something for a standard project out there, you would know by the end of this chapter how I could leverage those customizations they tell me to make inside of my project. So that'll be a goal of ours here. Now, what are we going to cover specifically in this chapter? I'm going to start with, again, like I said, how Webpack works. We're going to look at a lot more depth than what we looked at at the beginning of the course and then how it works in relation to the SharePoint Framework and how I can take this black box kind of feel that the configuration is set up with in the SharePoint Framework and make it more white box so I can see into it and see what's going on. Then we're going to dive into three different ways that we can control or extend or customize Webpack. The first one is going to be on how we can just, we can change the configuration of Webpack. So there's a configuration file or object that's passed into Webpack. I'm going to show you how to see what's there and how to change it because out of the box it's all done for us. Then I'm going to show you how to use a concept called a loader and instrument or control your build process with Webpack and then I'm also going to show you how to do it using plugins which is another way of extending and customizing Webpack. We'll look at those in a lot more depth when we get to those lessons. Now one thing just to keep in mind, this chapter, unlike some of the other chapters in this course or most of them, where I've created a lesson that's more of a lecture and then I follow it up with a demo or series of demos, I'm going to have some demos inside of the lectures themselves. So if you start a lesson and you start seeing it going on with slides or me talking, know that there's probably a demo in there with it. And the reason for that is because it's a lot easier to explain how Webpack works by example instead of just using slides. I don't have a whole lot of slides for this chapter. I know developers would be upset about that, right? Now we'll spend more time doing demo and by example here. So let's go ahead and get started and let's first take a look at what Webpack is all about and how it works.


We are very much excited to see him here and motivate us to do more work and contribute to this nation.


You can count on the richest person in the world to break records with the price of their newest house. I'm sure you already guessed I'm talking about Jeff Bezos, who just bought the Warner Estate mansion in Beverly Hills for $165 million. Aside from his new mega mansion in the Hills, Jeff owns real estate all over the states, including a New York City penthouse worth 80 mil, places in Washington, West Texas and more. The list goes on. In this video we're going to take a look inside Jeff's $165 million estate and some of his other properties. Jeff Bezos is an internet and aerospace entrepreneur, investor, media tycoon and more. He's best known for being the founder, CEO and president of none other than Amazon. I mean where would we be without Amazon? I probably couldn't live without my prime deliveries.  He graduated from Princeton back in 86 with a degree in electrical engineering and computer science. And after working on Wall Street, he founded Amazon in 1994. It just started as a simple online bookstore but now it's grown into the world's largest online sales company. Amazon offers a ton of e-commerce products and services ranging from video streaming, AI and more. Among Jeff's long list of accomplishments, he founded the aerospace manufacturer Blue Origin in 2000, which had a successful test flight to space in 2015 and more plans for the future. He also has a venture capital firm, Bezos Expeditions, where he manages a ton of investments. So yes, Jeff is the richest man in the world and the first centi-billionaire on the Forbes list. That being said, his net worth is over an estimated 130 billion US dollars. Hey guys it's Kara and today we're doing another house tour here on Famous Entertainment. Today we're going to take a look at the world's richest person Jeff Bezos and the estate he bought in Beverly Hills for whopping 165 mil as well as some of his other mega mansions across the states. If you like these videos make sure you're subscribed and ring that bell to be notified we post so you can always be up to date. We've also done house tours on the likes of Brad Pitt and Johnny Depp and we'll have links to those at the end of this. Follow me on Instagram because I love connecting with you guys. I've also been reading all your comments and I'm going to be responding to some at the end of this as usual. I need you to let me know who to do next in the comments down below and whose home you'd like to see. Now let's get into this video. I'm just going to jump right in today and start telling you guys about Jeff's brand new mega mansion. According to the Wall Street Journal the purchase price of the estate is a new record for the Beverly Hills area and Jeff is officially the top paying buyer in the Los Angeles real estate market after this one. Mr. Bezos paid an unbelievable 165 million for this property in the celeb filled Beverly Hills which was previously owned by David Geffen co-founder of DreamWorks. Don't be alarmed though because for the richest person in the world this price is only an eighth percent of Jeff's net worth. Pretty crazy. Jeff's new mansion is actually the Warner estate designed in the 1930s for Jack Warner obviously the president of Warner Brothers. It's considered one of the top mansions built during the Hollywood golden era. Mr. Warner spent over a decade working on the mansion and the Georgian revival style estate was made to host the most elaborate parties including guests like Albert Einstein and Howard Hughes. Jeff's new home is in the Benedict Canyon area of Beverly Hills and tucked away in serious privacy. The estate's gates open up to a winding driveway lined by trees that go right up the hills to the main mansion and paved motor court. The property spans nine acres of land and hosts the massive main mansion as well as two guest houses. The main home is 13,600 square feet of living space and has eight beds and nine baths. Apparently one level in the mansion even has floors that the great Napoleon stood on when he proposed. The front door in this place opens up to a two story entry with a fancy floor made from a variety of woods. And of course a sweeping staircase leading to the upstairs bedrooms. On the first floor there's a main living room with 18th century design, fireplace and cut glass chandelier. The dining room is also on the main floor and although it's at an average of 16 guests it could be expanded to fit several dozen making it perfect for hosting those parties. Jeff's new mansion also has a librarian's sun room beside the living room which has more seating and doubles as a lounge area. Although recent photos of the Warner estate's interior are limited we know there's a screening room and an expansive top of the line bar. The bar is designed in a Gothic style and has a Mexican chandelier from the 1820s. Previous owner David Geffen allegedly spent 45 million on renovations to the home and an additional 20 million just on landscaping. The impressive grounds offer multiple terraces and gardens, a nursery, three greenhouses and two ponds. The motor court even has its own service garage and gas pumps. Not to mention the beautiful swimming pool located on Jeff's new property and tennis courts. If that's not enough the estate has its own nine-hole golf course and if you make friends with the neighbors they apparently have a golf course too so you can play 18 holes without leaving your backyard. So it's clear Jeff has made quite the investment purchasing this historic Hollywood property and it sounds like a palace worth the price tag. 165 million sounds like quite enough to spend but not for Jeff. In a separate transaction his venture capital firm Basos Expeditions is buying 120 undeveloped acres in Beverly Hills for 90 million according to a source. If that's true I wonder what Jeff's plans are for it. Now let's take a look at Jeff's other properties he owns or at least a few because let me tell you there's a lot of them. Last year Jeff scooped up not one but three apartments in none other than New York City which cost him an estimated 80 mil. He bought a breathtaking penthouse unit as well as the two apartments underneath. Jeff's New York apartments are in a building beside Madison Square Park in Manhattan and the purchase includes his three-story penthouse, a private elevator and a few large terraces. The three units combined span 17,000 square feet and have 12 bedrooms. Not to mention the amazing views as it looks over the park. Jeff's building has a fitness center, golf simulator, a games room and a movie screening room. The penthouse unit itself covers the top three floors of the entire building and has five bedrooms, a five bathrooms, three powder rooms and multiple balconies. Inside Jeff's apartment you'll see it's designed in a modern style with plenty of windows for natural light. The master bedroom suite is huge, made up of multiple spaces and the attached bathroom has a view of the Empire State Building. A massive great room in the penthouse takes up most of the main floor and attaches to the library and stairway that leads you upstairs. The second floor has one rooftop terrace that spans the entire length of the building and a sunlit lounge where the third floor offers additional outdoor room for entertaining and another lounge. Jeff owns a handful of other properties across the US but since his divorce from McKenzie I'm not sure who kept what. We know Jeff owns land in a tiny waterfront city beside Seattle called Medina Washington. Bill Gates also has a home here. This tiny town of 3,000 people is a haven for some of these big shots as they get so much privacy. Jeff owns an estate here he bought in 1998 for 10 mil which spans over five acres of land and has a 20,000 square foot house and an additional 8,300 square foot house. Currently this house has a giant renovation in 2010 and then Jeff also bought the mansion next door for an alleged 53 million. Jeff also has crazy real estate in Washington DC. In 2016 he spent 23 million in cash to buy a property in exclusive Calorama neighborhood where the Obamas also live. It includes two separate buildings with 27,000 square feet of living space in a huge yard. The larger home is titled the Woodhouse and used for entertaining guests and the other house, the Pope House, is Jeff's living quarters. Between the two homes there are five living rooms and lounges, three kitchens, two libraries, two gyms, 25 bathrooms and 11 bedrooms excessive to say the least. Other features include a 1,500 square foot ballroom in the Woodhouse, a whiskey cellar, a garden room and pavilion, elevators and a huge lounge with a bar. Of course the house used for guests also has a ton of bedrooms on the third floor as well as staff quarters. Jeff also spent 12 million on renovations to this DC estate likely making it more impressive. I could go on and on about Jeff's epic properties but it's seriously exhausting. On top of all of this he has a West Texas ranch which is the biggest of them all spanning 30,000 acres of land which doubles as the site of his space company Blue Origin an additional multi-million dollar compound in Beverly Hills and more. It's estimated that between Jeff and his ex-wife Mackenzie the family also owns somewhere around 100,000 additional acres scattered across the US. I gotta say it must be taking them a while to divide all of these properties. Now we've officially taken a look at where the richest man in the world calls home most impressively the Warner estate he just bought for 165 million in Beverly Hills. Jeff can now include this piece of Hollywood history in his real estate portfolio and by looking at the nine acre property he'll certainly have every reason to brag. Aside from this record breaking purchase in Los Angeles Jeff owns countless properties all over the United States. This includes the others we looked at like his 80 million dollar investment in New York made up of a three level penthouse and additional apartments, his private homes in a small town of Medina, Washington the two building estate in Washington DC and much more. After seeing all these homes which did you guys like the best? I really love the Warner estate because of the old Hollywood vibe. I really don't think you can top that. I hope Jeff doesn't renovate this home too much because he'll lose that amazing history. I mentioned like that should stay classic. Okay guys now it's time for me to read out some of your comments from other videos. On our recent Black China house tour the salad wrote keep it up I love your videos can you make Ellen DeGeneres in Post Malone? Thanks salad and those are two great requests I can definitely make it happen so keep your eye out. On our Brad Pitt house tour which by the way you should check out if you like this one considering he also owns a compound in the Hills BME Brooke E said really neat that he had an image in 94 to create a dreamland spread smart. I'd like to see you do country singer homes like Luke Bryan, Jason Aldean, et cetera. Honestly I love country music and I've always wanted to do some vids on these stars so if more of you guys are into that content let me know because I'd love to try it. I also got some comments requesting Missy Elliott Eminem and Dr. Dre house tours so if those are other celebs you'd like to see be sure to let me know. All right guys that's all I could find Jeff Bezos knew 165 million dollar estate in Beverly Hills as well as his other properties and I can't say I'm too shocked considering he is after all the richest man in the world. What did you guys think of the Warner estate? What was your favorite part? Or which one of Jeff's properties is your favorite? Let me know in the comments as well as what other celebrity houses you'd like to see. Follow me on Instagram if you want to chat more and I'll see you all in the next one. Bye.