Dragon Ball Fighter's raids are extremely hard. These are pieces of content that give bots a huge amount of HP, and they buff the overall damage of the computer so that you can't even live through one combo. That's why this is only supposed to be a game mode that you take on with two of your other friends. Hmm. Notice how I said supposed to though? That's because today, we are going to try to take down the newest 5-star raid in Dragon Ball Fighter's Vegito Blue solo. Now, there's not actually a way to do this in the game, so instead, I went over to my Discord and asked two people to help me out by coming into my game and only AFK. They will not be hitting any buttons and I will not be using their assist. So, will I be able to solo Dragon Ball Fighter's hardest game mode? Well, that's exactly what we're going to find out today. Round 1 really shouldn't be a problem at all, not only because Vegito's not even here, it's just Goku and Vegeta, but, I mean, usually in the 3D it's raids, somebody has to solo round 1 anyway, and I'm also expecting a perfect tier. I think, I mean, we'll see how hard it is, I might end up allowing assist on my part, but for right now on round number 1, I ain't doing no assist, dude. I'm going all solo. First attempt, I don't need a assist. Mixa- Alright, well, I'm not getting my perfect.  Whoa, whoa, why are they doing this? They are going crazy right now. Oh, I could really use the help. I could really use the help. Maybe I should sacrifice one of my teammates. I will say, I will allow me to use my teammates, not as assist, but as like temporary timeouts, you know? Like, I could recover some blue health. Maybe I should do that. It might be the strat. Honestly, I think this might be the best implementation of this strat. I'm going to sac Kefla, and I'm very sorry. Thank you, Kefla, for all you're doing on the team. I appreciate both of your helps in the challenge, but I need you to just AFK. Thank you. Just hold out hope. I need a little bit of that blue life back. You're doing great out there, Kefla. You're doing a great job. You're doing exactly yes. Team Ag, just buy time. You did an excellent job. Stand proud, you were strong. I just needed a little bit of that blue health. I'm sorry. I'm sorry, Kefla, I needed it. I needed it. You did your job splendidly. I don't know if I can kill here, but I'm going to try. I'm definitely not killing here, but let me hit this level three anyway. Super saiyan. Honestly, round one has been very hard. Round one was very difficult, but we still are going to pick up that win. I'm nervous. I'm not even going to lie. Round one was too challenging. All right, for round two, I'm turning health regen on. Kefla needs to sit on the bench to get some health back for longer timeouts, other than that, though, same strategy. Start of round two, Vegito's finally, I can't believe the miss input. Oh my goodness. He's only level 50. Oh my God, he's styling on me. He's styling. Stop, Vegito, stop. All right, one bar, that's fine. I'm still feeling alive. I'm still feeling good. Why not? Why not feel alive? Look at me, regening health. It doesn't even matter that I got hit. I'm going to end up with more health that I started with. Same side, level three. Keep him in the corner. I've got to use every strat in my book if I'm going to win this. Level seven, Vegito is not going to go down. Oh, that was sick. All right, spin move. Why am I going for the fancy combo? I don't know, but I dropped it. It's over. It doesn't matter. Vegito can't block the overhead. The delay based netcode got him. All right, going into level three, looks like Vegito is going to be level 60 on this one. Once he gets around level 70 is where I'm going to be worried, so I guess next round.  I'm going to be running the whole time. 2M, full screen. Oh, I'm going for it. Why not? Why not get fancy on the bot? Oh, oh, look at the fancy combo. Let me do it again for him. Why not? Oh, because that's why. Oh, too out to dodge it. Super still aren't hitting too hard, though. I'm going to be honest. All right, I'm going to go ahead and spark.  No, no. Oh, reflect that. Get off me. Super coming off. And that's how you win a game. That's how you win a stage right there, baby. Who's next? 10,000 Zenny for three consecutive wins. What is Trunks doing here? Oh, man. I thought this was going to be like a single character raid. I wouldn't have come out here with this idea that I had it all, man. I wouldn't have come out here like I was going to win if I knew Vegeta was going to get some teammates. I'm not doing the fancy combo. It's too risky. What? Surely Goku has some new combos in the corner, though. Like if I just go for a. Oh, God, a change of future is not going to hit. I think it actually did it. Big super. I'm still not too worried. We do have health regen on. See, I'm not used to playing with these power ups. These power ups make it a little too easy. Even if I do only have the one backing me up, that's all I need. Oh, God. Oh, God, damage, damage, Vegeta. You didn't need to do that. OK, the supers are starting to really hurt. Supers are starting to really add up now. We're going to take a level three. Honestly, wait, I just thought of another strat. In the later rounds, I should definitely be sacking my teammates for limit break. Should I do that now, though? I don't know. Honestly, I just thought of that. That is a great idea. I have to sack my teammates next round for sure. Sorry, boys. I know you're out here helping and everything, but if this is going to be a solo challenge, I need to. I thought I had him. Now I'm going to have to stall for time to gain my health back. Oh, God, dude, it hurts. Oh, it's over. It's over. I just lost. That's crazy, man. I can't believe it. No, dude. Hey, the thing is I just needed a different character. That's all I really needed, man. You know what? Let me be Canaan. See, the thing is now Vigito Blue is going to have to dramatic finish me because now I'm just I'm different. Now I'm Zamasu. EX slasher. Hold on. Set him up in the corner. Sit down, Goku. Tech up. Sit down, Goku. Tech up. Sit down, Goku. Yeah. I know you're every move. You ain't escaping me. I'm getting that perfect. Oh, no, I'm getting that perfect. No, my perfect Vigita. You always ruin stuff, man. Oh, that's not how that works. Oh, my God. No way, no way, no way, no way, no way, no way. Oh, I still crossed them up. That was kind of sick. All right, I'll take it. Not a very clean round. I lost half of my health, but I'll take it. All right, let me get that. Let me get that health regen back. I need it. Okay, we're back this time with, oh, I didn't even notice because they changed because somebody actually picked Vigito on my team. They got Vigito and Vigito black outfit. Okay, we got evil Vigito now. I'm not scared, though. I'm really not. Let me get the Lightning of Absolution up. I can't. Oh, that's the common, I remember. Hold on, let me get my full health back. I'm just getting my full health back now. Look at me running. Oh, I almost got all of it back. I'll recover it all in the next round. I don't even know why I was doing that. Now that I'm thinking about it, still though, Zamasu is clearly my character for this. All right, back for round three. Still not our personal best against Vigito, but oh, my God, did he have to put his shields up. Stop that. Still not using assist. I'm not sure if I will end up doing that in the challenge at all, but it's definitely on my mind. It's something I'll probably do if I start losing enough. You know, just to open up some interesting combo routes and everything. Oh, Dark Future? It's the Dark Future arc all over again? Let's sit down. Please sit down. Oh, no, why did you sit down? No way he blocked that 6M. I'm sorry, but that 6M was devious. That would have mixed up any real player, even Goichi. I'm saying it now. All I gotta do is take out Trunks, man. Trunks is so crazy, bro. I've still pissed. Oh, the run up to age. Vigito, what are you doing? If that combo is off Trunks, I'm pissed. Okay, thank goodness. Thank goodness. All right, let me get sliding. I still have Spark. I still have Spark if I want to extend this. But Trunks, don't do HB. Thank you. All right, Slycer in the corner. Combo, combo, hit, hit, nice. Nice. All we have left is like a level 40 Trunks. I'm not afraid. Bro, you are literally the same as the bots on level one. Bro thinks he's hitting a dramatic finish. Put the sword of hope away, boy. Put it away. I don't want to see that right now. You dare key charge against the god? Yeah, I thought so. Go ahead, wake up key charge. Do it again. You dare ma- Oh, oh. Okay, that was bad. You dare ma Sanko a god? And he's gone, just like that. Trash, trash, bro. I gotta finish with the Android started. I was gonna say sell, but I don't think, I don't think this Trunks really cared about sell all too much. Hey, we're back to just fighting Vigino. New PB, we're three rounds away from a victory. All right, always start with standing medium. Vigino never blocks that. Work him down into the corner, gain half of art. Oh no. Oh, jump away and punish. I am him. Nah, look at me, I'm the raid boss now. Hold that. Dash in. Okay, block that. Reflect, get him off me. Nah, you're telling me I'm not the raid boss? I'm playing like this, I'm not the raid boss. I doubt it, bro. I doubt it. No, get the two H. All right, I gotta fight through sparking. I'm flying after him. Oh, God spark. Wow, nice reflect Vigino. Hold that in the corner. That's a punish. That is a punish right there. Almost back at full health for me. Dash in the corner. Level three, whoa. Oh no. Oh, leave it, leave it, leave it, leave it. Yes. Now I gotta return the favor. You want a raw level three me? No way he blocks that, am I dead? Ah, reflect. I'm so scared. If I could be honest for just a minute, I'm very scared. I wish I still had spark. God, I want spark so bad. I know what I have to do. I need to tag out, I need to tag out. I need to take a break, I need a break. I should have tagged out to the third person on the list, honestly. Just, yes, AFK, hope for a good RNG seed. Yes, good tech. No, no, live a little bit longer, Gojina. Live a little bit longer. Yes. No, live longer. You got it, man. That was perfect. Honestly, you did a great job, man. You did a great job. 75% health, I am feeling good. This is for you. Going after my teammates, huh, Vegeta? There's no honor with you, huh? 6M. Oh no, I backed out to do an EX kick in the corner. He's charging against me. Never do that again. Sit down. Go ahead, sit down over there for me. Oh, you are so lucky. They don't put in fan fiction derratic finishes, bro. Zamasu should have won right there. Ooh. Ooh. The way he said, honestly, Zamasu is the coldest English dub character. Five consecutive wins solo. And now, wait, level 50. Wait, we're just fighting a bunch of level 50 losers? How is this level six? Oh, this is gonna be cake, bro. This is so easy. Nah, I'm crying at the fact that Dragon Ball fighters thought three of these guys even mattered.  Two and that. Two and that, bro. Who put these guys out here? I am sorry, but what are they doing on the same field as me? What are you guys doing? You're setting out chump change now? You're setting out chump change against the great and powerful Zamasu. There's no way I actually win this. There's no way, bro. I do these raids with two other people and it's like a huge part of the channel. And we lose all the time. It's like a meme. I put on one power up. I show up by myself. I get it done. It's that easy? It's that easy? Let's go, hold on. Let me cook then. Let me make it a reality. Oh, you don't have to do that. Oh my God, that hurts. Special attack of level five? What are you doing at level five for? I just met the power up. What? I'm, wait. There was a network error, so it didn't count. Wait, what? Wait, how are we still playing on the same same file? Zamasu is pissed that I just lost. Bro must have forgot that I was immortal. Bro thought it was just over. How, wait, how are we on the same same file? Dude, one of my teammates know like some crazy like tech that I don't know how much is this going to hurt. Oh, no, bro, just, they even give me a second chance more. Okay, final attempt. I have to bring Jiren out. I just think he's the best character for this game mode for me because I have the best solo combos with him. I'm just going to spark. I'm sorry, Goku.  I'm never going to get my perfect at mind. The game literally gave me a second chance and I blew it. I want to thank my teammates that are out here with me again. You know, they've been AFK the whole time, but that's exactly what I needed them to do. I needed them to give me a chance to be me. Let me come out here, perform, compete, and ultimately show this Vegeta raid that I'm different. That I'm just a different beast. And I think my Jiren's about to do that right now. Take this level three. I ain't getting hit by any specials in that final round, man. Round six ain't ready for me. I'll tell you that right now. Overhead. Okay, I have to block now. That's unfortunate. Counter that. Send the corner. All right, I can't really break through his guard.  What is he doing? Bro is maneuvering on me. I could hear the melee dash sound effects, man. He was going crazy. Okay, Vegeta blocks my first attack. I'm gonna spark right away. Oh, I'm getting outplayed. I understand now. Also, wait, I just realized I never actually put my strategy of sacrificing my teammates and getting limit break out into the real world. That means there's still a chance for me around six. I'm just gonna have to use limit break. Oh, stay back, Vegeta.  Just let me end the game. Let me end the game, Vegeta. That was a clean round. That's what I'm trying to see all the way up to the finals. Get him out of here, KO. Next, round three this time against just a higher Vegeta ranking and we're just gonna go for that 2M starter again. The whole strategy is basically, don't let the bot fight back. We just gotta get in there bright and early first. No, but if he doesn't have time to go crazy, then he doesn't have time to go crazy. Oh, that was a mean 2H, though. That was a mean 2H. We still have spark, I'm not worried about it. I'm not frightened about it. I'm not frightened at all. Oh, I'm a little frightened. That was a terrible spark. 2H, get him into the corner. Girid unique method. Why not? Why not fling him back into the corner? Level three for the hard knockdown. Only thing on my mind right now is what if he sparks? I'm not gonna let him.  Super Ash, thank you for the nice fuzzy chews. Shouting me out, appreciate that. Some kind words go a long way. This time, they're taking us into the next round. Okay, time for the Vegeta Trunks round. We have lost on this before, but I'm not really that nervous. I feel like my one loss was just like, I don't wanna talk too big now, just in case, but I'm feeling like it was a bit of a fluke.  Say it, call it like it is. I'm just, I don't think Vegeta is really him. I don't think he is. I don't think he is. I've yet to lose to Vegeta. You know, I only lose when his lackeys are around. Oh yeah, give me the spark there. Give me the spark there. I gotta go off. Level one. That should be enough. Vegeta's already died. Is this gonna be the perfect? I know I said he was a fraud, but I didn't know he was this big of one. Unreal, bro. He's looking like the Philadelphia Eagles right now. I'm sorry, listen. I'm not sure how many sports fans watch this video. That one was, look, there's certain narratives around the league right now. I do apologize. I'm just repeating what I hear, man. I don't wanna use an assist. Oh, I thought this might actually be the perfect. I went on that. Oh, it actually was the perfect. I'm doing it all right now. This is exactly why I picked Jiren. Bro, is this solo, he's, look, he's the solo player, bro. Kirito? I saw, I think I saw Kirito in his eyes. Jiren really is the beta of Dragon Ball Fighters, man. He just knows the game like nobody else. He's like me on Final Fantasy. Oh, oh, no, no, no, this can't be happening. This can't be happening. I don't wanna die. God, he is so tanky. Who made Vegeta so tanky, man? Level three, hard knocked out. I need to mix. I'm going for a 2M, I think. Am I going for a 2M? Yeah, I am. Oh, who told me to go for the overhead? Spin to win. Need another reset? Oh, put your shields down. Get your shields out of here. You don't need them where you're going. Other world, here he comes. Looking like Gojina. In the original Dragon Ball movie, of course. Okay, I'll reflect that. Trash will always be trash. Trash will always be, I don't know why I gave up corner. I've done a lot of things in my past. I don't know why I gave up corner. Oh, no, no, no, no, no, no, no, no, no, no, no, no. It's time, it's time. Switch out, switch out, switch out. Okay, I got scared. I needed a little time to get my blue health back. Just take a little cooler. Maybe let Sparking of his run out? Oh, he just lost Sparking.  Thank you, Majin Buu. You've done an excellent job. Majin Buu, you did a great job, man. Honestly, you know what I'm gonna do? I'm just gonna get limit break. I might as well build up some more bar, get limit break. I'm chilling right now. Jiren has no friends. This is basically how Jiren used the pride troopers in the actual show. Get that limit break in me. Yes, sir. Limit break, I'm hitting harder now. And I can also level one to the level three. Sadly, I forgot about that until just now. I could have used it. Take another level three. Do I go for the two M again? I think I do. Oh, God. Level one. Ugh. Level three. Oh, it actually did combo. I thought it dropped. Hoo, hoo, hoo, hoo, hoo, hoo. Get him out of here. How is he alive? He's gone now. He's gone now. And now all I have to do is take out these frauds, Goku, Vegeta, and Trunks. I just need to get rid of the fraud trio. Hey, but like I said, I don't need friends. I trust Noah, not even dragons. I'm gonna immediately sacrifice everybody. I'm putting myself on the bench. Bye-bye. All right, good. That was a quick kill on Majin Buu. I could send something was off. Now Gojina comes out.  That's gonna give me limit break and level three spark. Imagine if I just happy birthday to him all right now. If I land a double Sunday combo, I'm just him. Okay, no double Sunday combo. Oh, we've got health regen going a little crazy in the back. I have access to my level one to three super. Everything's looking pretty good right now. Level one, level three. Sleep not warrior. Oh, the voice line going crazy. Almost at full health. Gonna take a two M. Okay, Vegeta's down. We've got Vegeta down. Sleep warrior.  Now Goku and Trunks are still here. Goku did pose me some trouble earlier though. Please tell me I didn't hit a button. No, stop. Just stop. We're still alive. I freaked out a little bit there. I freaked out a little bit. Level one, Beyblade. Level three, knockdown. Okay, good. Hard knockdown is important again. We wanna make sure he's on his feet. We're going for a two M. Oh my God, that should have been a loss for me. Oh my God, how many combos am I gonna drop in the clutch man? I'm freaking out. I'm freaking out. I'm freaking out. Don't go. I saw his sword come out. I am not sure how I got away with that. Yes. Grab this man. Level one. Level three. Okay, we're getting through it. I think we got this round wrapped up. We got it. Two M. It's over. It's all over. We did it with the limit break strategy. Bring on Vegeta. Level 100 Vegeta, I wanna see him. Level 95 Vegeta, level 55 Trunks, special attack power up level six. Okay, so I am not living any attacks. I'm just gonna go power attack level five and we're going right in. Vegeta, oh, this is gonna be so easy. This is gonna be so easy.  If Trunks comes out and he beats me, I'm pissed. Okay, you know what we're doing immediately. Jump back quick tag. Okay, good. He even snuck a little bit of damage on Vegeta with a cheap hit. Majin Buu goes down, thank you. I couldn't ask for better teammates, honestly. You guys have been the best teammates a guy could ask for. Gojini even threw in a little taunt, I appreciate that. Now let me go ahead and end this game. Try something. Oh, we're already popping off. I had to hit him with the iconic line. Try something. Oh, whoa, whoa. That should have been a double Sunday, but I'll let it slide. Take this level three. I'm burning out that spark timer. We're making sure that healing's going nowhere. I'm gonna solo this raid. I am a gamer. I am a Dragon Ball Fighters gamer. Spark that. Super Dash. Let's go. We snuck it by. You don't need to do anymore. We get a cheap overhead. Cheap overhead. That's all we needed. If Vegeta falls, this is looking very doable. No, reflect that. What? Don't tag out. Where's my 2H? That was there. Don't. Level one. Level three. Sadly, I took off health regen. I probably should have left that on. I don't know what I was thinking, man. Get the 2M. The blue combo against a bot? No, I was destined to win. I was destined to win. Please kill. Yes. All we have to do is take care of Trunks. Now remember, he still has special attack of level six. He could win with any random level one. I, oh, oh my God. Why did he do that? Super Dash? All right, give me a level three. I need some structure. I need some structure. I'm sweating. My palms are so sweaty. I have never gone for this challenge before. Bro, I'm about to tag like Rhyme Style and Deon. I don't know why I said Rhyme Style. Deon and, do you know what Deon is? I can't tell you to speak. I can't speak. I'm gonna do it. I can't speak because I don't need to speak. I need to win. It's all over. This raid has been soloed. I challenge you all to do that at home. Get some buddies, take some turns, solo it out. None of you can win against me. Give up. Oh, that was a hard voice line. Oh, wait. Oh, listen to that music. Oh, the raid has been soloed. Thank you so much to my Discord for helping me out on this one. Appreciate you boys coming in here at AFK. I know it's not the most exciting job, but hey, you boys were a part of history.  Hopefully you guys enjoyed this video. Check out some of the other videos on the channel on your screen and I will see you in the next one. Bye.


So now I would like to introduce you to the basic elements of AAAF to set the base for the rest of today and the rest of the week if you're staying. So here's what I'm gonna cover. Really high level stuff. What is AAAF? Why do we need something like it? What does it do? And how does it work? And then I'm not covering this, but I consider this the rest of today to showcase the case study examples. So you'll be hearing about all of these things. So let's start at the very basics. What is AAAF? Well, you hear that acronym a bunch, but it actually stands for this set of words, the International Image Interoperability Framework. So because that's a lot of words and a lot of syllables, we say AAAF. I've really enjoyed in my seven months on the job hearing all the different ways that that becomes shortened in different languages. I think in Portuguese I learned a couple weeks ago they were saying EF. There are a number of interesting variations. Maybe more importantly though than the acronym, AAAF is really a model for presenting and annotating digital representations of objects and doing that in a uniform way and in an interoperable way. And because of that, there are many other benefits that accrue with the use of these technologies, especially across institutions. And importantly, as much as it's that model for representing those objects, it's also the community. When we say AAAF, we're talking about the body of institutions and people and curators and developers who make those APIs and then implement them in software at their various institutions, often in shared open source software tools and then expose content through those APIs, right? And that's really importantly, not just the technology, the body of folks who make this all work. So over the last nearly 10 years, it's grown to be a truly global community. So you can see here both the formal consortium members as well as just implementing institutions that we know about. And this is almost by definition out of date. So if you see a country or a city that has an implementation that you don't know about, please let me know and we'll add a dot to this map. You can see here kind of a high level list of some of the large scale institutions that are international leaders in AAAF. So museums and galleries, state and national libraries, research institutions like Godingen, and it's increasingly aggregators who are also helping smaller and other sets of institutions come on board and become AAAF compatible and enabled. So art store, content DM, Europeana and DPLA and places like that. So why do we need something like AAAF? I think a lot of us have this innate notion, right? Or this kind of already given understanding that the reason that we do a lot of the things that we do, the reason we digitize materials and present them online is because they're such valuable means of communicating the cultural context and giving people additional tools to inform their own experience and to understand the world around them and understand other connections to cultures. And so after the written word, these image materials, image-based resources are just such compelling ways of doing that and transmitting that knowledge. And it's great, we've done a great job over the last generation or so digitizing things and putting them online, but sort of by accident we've ended up with a slightly difficult situation for our end users, right? So we have all these rich worlds out there, but we kind of make everyone look through these telescope lens to see just a slice of those, right? Any given part of a collection without necessarily being able to see the entirety of it all the time. And so we get this ecosystem of digitized collections that's a little bit disjointed and hard to access and just a little bit difficult for the end users. Here's another view into it, right? This idea of similar silos, stacks of resources that all are essentially the same in terms of functionality, but there are just unnecessarily distinct, let's say, at a certain level. So that's why we need IIIF, to address this issue and to help us kind of come to a collective solution to that. But what does it do? What does it do in addressing that? So I think the easiest way to show this to you is a couple of video examples that I'll talk over, but you can see kind of the functionality happening as I'm describing these. So one of the main ways or means of using IIIF is just to deliver very large-scale, very high-resolution images over the internet, right? So gigabytes worth of image data but without transmitting all of that file at once, right? So just regions and tiles. So this example comes from Stanford. It's a Japanese tax map and you're meant to actually stand in the middle of the map and be able to read elements of it that are surrounding you. And for scale here, you can see, I'm told that photographer's name is Wayne, so this map is two wings tall by three wings wide, which is a very sizable map. I'm not sure I've ever seen a bigger map than that. But so one digital image can be delivered very straightforwardly through IIIF.  A very small section of detail. So this tool from the University College of Dublin allows you to address a specific region and cite that and work with it as a web link. Comparing images, right? This example comes from the Welcome Trust and so this is some skeletal and other imagery of a seal skull. And so one showing the outside portion of it and one the underlying skull structures of this tool and being able to work with those in the same viewer at the same time. But of course, if you can do that, it stands to reason you should be able to do that across institutions, right? Again, addressing that silo issue. So this example just shows how a scholar might wanna work with materials, say Shakespeare materials from Oxford, Stanford, and Yale in a single viewer, being able to pull those materials in and do that kind of deep dive analysis on these materials all at the same time in the same viewer. Triple life makes that pretty easy, as easy as drag and drop. So this use case, I think, really helps illustrate this as well. This really sings. So this comes to us from Biblicima, work with the National Bibliotech in France and so reunifying a disaggregated manuscript, right? So this is a 15th century manuscript that had the illuminations cut out of it. And so as the crow flies, the materials aren't that far apart, but as digital objects, these might as well be halfway around the world. And so this example shows digitized versions of all of these components digitized and presented in triple life, and then they're able to be reproduced, right? In the same context, exactly as they were meant to be seen originally. So kind of a beautiful illustration of bringing those assets together across institutional boundaries. And we have some other functionality baked into this as well, some other APIs. So there's one for searching within materials. So if you have transcriptions or translations, textual material that goes along with these assets, the search API makes it possible to search within those things. Doing some analysis, this is an example of geo rectification, right? So taking digitized maps, these come from the University of Edinburgh, taking older maps and then placing them using control points on sort of native mapping technologies that we're all familiar with, with Google Maps and other tools like that. Using it in educational context, right? So annotation, this example comes from a Harvard edX course, which has a really deep level of zoom and annotations at many different levels of this image to illustrate all the things that are happening inside that cell biology. I'm not a biologist, this is all, I should take this course, but from what I understand, it's like a really useful way of showing the students the scale of what's happening in these cells and all the annotations work in AAAF. And increasingly seeing some, especially coming from the museum side of the AAAF community, some really compelling ways of doing things that you would call guided viewing or storytelling. So this example comes from CogApp, their stories tool, being able to guide viewers through sections of different AAAF resources and still letting them kind of zoom in on their own but also using that annotation tool that you see overlaid to help people step through these image materials and be able to see the descriptions of the annotations they're looking at. And of course, it's not all just digital representations of objects. There's a way to make this companion piece to a very in-person physical experience as well. So this comes from Boston College but a very typical display of manuscript material that you'd see in display cases like that, a little bit of distance from the user in the plexiglass so that people don't cough on the materials or anything like that. But in addition to that, right next to it, there's a digitized representation of this object so that users can explore the manuscript and page through it as they would if they were able to actually touch the materials themselves. And an important piece of this is that many of these different functionalities work across different viewers and different implementations. So that's part of the rich open ecosystem of AAAF enables this sort of thing. So this example comes from the Cutter Digital Library that actually gives users options to open materials in a variety of different viewers and kind of let the researchers choose what to work with there. And I'm very excited, this is a new slide, brand new, to show you that we've actually moved beyond images with I think it was two nights ago, three nights ago, we released the beta version of the 3.0 version of our image API and our presentation API. And you'll hear a bit more about that I think later today. But just to give you kind of the quickest taste of some of the audio and moving image capabilities, here's an example from the distributed digital music archives and library's lab at McGill, which shows the prototype of what's possible. So this is a Chopin etude. So drawing in that video asset, but also annotating in real time the musical notation and allowing people to navigate up at that bar at the top. Okay. So hopefully that lodges in your minds some of the functionality. So how does it actually work? What's the underlying tools and techniques that make this work? So it all rests on APIs. You've probably heard this before, but very briefly application programming interfaces. It's essentially a contract between two systems and agreements about how data will work between two parts of a system. So say front end and back end. So as long as that agreement holds, you can swap out a front end portion of the system and have the back ends deliver the information just as it would previously. Or you can swap out the back ends. As long as that's coherent to the front end, the contract holds, then both of those things will work. And of course, we can go totally wild and swap both ends out and that middle portion still works. So at root, that's what APIs are doing in the AAAF ecosystem. And so what they're doing is enabling all these different sets of functionality. And so in the context of one institution, this is super important. This makes it very legible about what each element is happening. The images and the annotations and all of this. But in the context of many institutions, all of a sudden this becomes really powerful. This really enables the same sets of things to work across institutions. The delivery of images or the delivery of annotations or the cross functionality of these things. So that really leads us to this overall and grand vision of how AAAF works and what it can do, right? So creating this global interoperable framework that works with any number of participating institutions to deliver these things in a standard way to any of these compatible image viewers, right? That many folks have built display and manipulation in any application. So because we use web standards, the stuff all works basically in any browser. And then this is the most important piece, delivering that to our end users, right? To any set of populations that has access to the web, we can deliver these AAAF assets and make this work. So we have hundreds of millions of objects. I think we're up over a billion. It's a little hard to be 100% exact. And it's backed by a consortium of leading institutions. It's supported by growing suite of software tools and it's using the best of the latest standards that we have available to us. And I'm gonna touch on this very briefly just because I wanna make sure we have time for the rest of the day, but just to give you a sense, the main thing driving AAAF are these two core APIs, the image API, the presentation API, image API delivering pixels, presentation API delivering just enough structure to make the viewing experience work. So there are manipulations you can make using the image API. I won't explain all these. The presentation API delivers sequence, table of contents, metadata, basic metadata, things like that. I think the best way to do this though is to show you what's coming from where. So this is a AAAF viewer and you can see the section in blue is delivered by the image API. That's the body of the material and then the pieces in red are delivered by the presentation API, the sequence of the pages, both in terms of table of structure and the thumbnail strips, right? And the metadata up at the top all delivered by the presentation API. We do have two more APIs. We have a search API to search within transcriptions or translations and a lightweight authentication API for those contexts where maybe there are materials that can only be seen by staff or something like that. Okay, so how do you get started? So you're enticed, you're here, you're in this room. Well, good news. There is a very large and growing suite of software tools available to you. Vendor supported, open source, all sorts of means of doing this, rolling your own or using vendors tools that already have this baked into other systems. So you can see a few examples here but there's a lot listed on our website. So hopefully you're persuaded. I think you see there's hundreds of adopters, just countless applications that make this work. Billions of digital objects or more than a billion, let's say, right now objects out there in the world. And just more promise to come, right? It's conferences like this that really drive forward the work of the community. And so how do you participate? Well, the last one there is you're already doing it. Or sorry, that's on the next one. You're already at an event, so that's a good step. But using the tools to expose your collections, using any of these AAAF compatible software tools. An important one that we've had a lot of success with is asking your vendors how they can support the work you wanna do with AAAF. Participating in the community, so that's this bit here. There are many ways to do that. This is what I meant. You've already got a check mark on that last one. Participating in some AAAF events. But the website has a lot of useful information to you. Our email lists, Twitter, and our Slack groups are all fairly active. We're recording these sessions today so that we can have those online for those not able to join us today. So I hope that gives you a taste of the technology and the community. And with that, I'm gonna welcome Tom Kramer to give you a little bit of background on the standard in the community and pieces like that. Thanks.


Gaussian mixture model using EM method. Where do you use and why do you need a mixture of Gaussians? We have seen in many of our analysis specifically if you recollect back some of the discussions which we had on Mahanabeg distance criteria, the covariance matrix under the Bayes paradigm when we converted distance short of a multivariate Gaussian function into a distance criteria. We made an assumption in most of those analysis that the distribution or scatter of the data in whatever dimension it may be 1, 2, 3 or even higher is a Gaussian distribution okay. This sort of assumption may not happen in practice but of course most scientists and engineers still use a Gaussian distribution for modeling many analysis in many different applications including signal processing, communication theory, vibrations whatever it may be. The advantage is that the Gaussian seems to be the one which is more closer to the natural distribution okay. Number the other main reason is it is easy to do mathematical manipulations if you have a Gaussian function specifically is differentiation exist up to as much of an order as you need in finite order. It is super smooth it has various other types of advantages which this function provides over other distribution functions but there may be situations where a distribution may not be strictly Gaussian in nature or nature is strictly not Gaussian. In such cases there are methods which deal with multiple Gaussian it is like as if I want to cluster the data into several components or several parts and I assume or we assume that each of those clusters forms a Gaussian distribution. So this leads us to an analysis which is based on GMM which is casually called or the Gaussian mixture model. Let us look at the expression of the Gaussian mixture. This is the univariate Gaussian distribution in 1D where the mu is indicated by the mean okay and of course sigma is the standard deviation or the sigma square is the variance which is here okay. This is actually the variance remember the sigma is called the standard deviation variance is sigma square which is here as well okay. So this is the normalizing part of the function and this is the exponential function. We had seen this and we had also extended this to a multivariate Gaussian distribution case where this mu becomes a vector of the dimension of the data sample or instance X okay. I have changed this G to N here indicating this is a univariate Gaussian distribution in 1D in higher dimension it is an N okay where the sigma square is replaced by the covariance term root over this and this is the model of the distance function within the exponential term which you have here inverse of the covariance matrix. This is nothing new. We had this discussion earlier under multivariate Gaussian distribution. We put this under the base paradigm and we formulated distance functions and we know under what properties of the covariance matrix we are going to have between class linear decision boundaries or DBs or nonlinear decision boundaries actually the covariance matrix and its inverse of the covariance matrix dictates the corresponding property of the decision boundary okay. But now what we will do is we will extend this to a case where we will have not only a multivariate Gaussian distribution one of them in higher dimensions but multiples of these spread over the data and to do this we basically need to estimate the covariance matrix and mu for a particular distribution and one such method is actually called the maximum likelihood estimation when we need to estimate this for a particular data samples. So to do this we look at this ML method which is a simpler one to visualize if you take the log of this probability function from the previous expression let us go back to the expression here. This is what we are taking the log about and we did this when we actually formed a discriminant function for a particular class when we derived the distance criteria. So if we do that these are the terms. So this expression is also not nothing new to you. You have a nonlinear term here and you have a certain constant terms in these expressions okay. We need to take the derivative of this because you need to actually maximize this. So take the derivative with respect to the mean and the covariance term because these are the two parameters which you need to estimate for that function. This will give you an expression based or to estimate the mean. So the mean estimated by the maximum likelihood or ML method where n is the number of sample points is given by this which is a trivial expression which you can get it from here and the covariance matrix is actually given by the overall scatter matrix is given here. So the ML method for estimation of the parameters mean and the sigma is giving you the same expressions which you have seen earlier. This is the covariance matrix. This is the way you estimate the covariance matrix and the corresponding mean for the data. What happens if you have multiple gaussians or what is called as a mixture of gaussians or gaussian mixture and this is sometimes called as a linear superposition of a set of k number of gaussians. Capital K is the total number of gaussians. Typically k is more than 1 but of course in a very special case capital K can be equal to 1 where you have just have one gaussian and the overall probability is now a summation of all k number of gaussians where this pi k is called a mixing coefficient hence we will call this as the mixing coefficient for the kth gaussian. The subscript k indicates the corresponding gaussian and this expression is the normal distribution, normal multivariate gaussian distribution. Normal multivariate gaussian distribution for the class k, mu is a vector of the corresponding dimension as a sample k and this is the covariance matrix for the kth gaussian. Again I repeat this is the mixing coefficient for the kth gaussian. This is the normal multivariate gaussian distribution for the kth gaussian. The only constraint which you put with respect to the mixing coefficient is that each of them lie within 0 to 1 and the summation of all this is equal to 1. So these are basically can be considered as weights. They are also called the weights for the corresponding gaussian function and if you take the log likelihood, if you take the log likelihood of this overall function which is a function of the mean, the covariance and the weight coefficients which is also given as a function over all the data samples n, capital N is the total number of samples and the pxn is given here. This is the p to the probability for the distribution for a sample x as given as this. So this is what you will get. You can take the sigma. So this is the same. So replace this expression p of xn by this here and this is what you will get. Remember inside the logarithm you have the summation over k gaussians and then you have it for as many number of samples. k is the index indicating the kth gaussian and n is the index referring to a particular instance or the sample. Total number of samples is capital N, total number of gaussians is capital K. This is the expression you have for the lack likelihood for a mixture of gaussians multivariate gaussian distribution is what we are considering. In this case the maximum likelihood may not work to yield a close form solution and you need a method of optimization which is iterative and that is what em or expectation maximization will give you. So let us take this example to show what we are planning to intend. If this is a short of a scatter of the data set of data samples which is obtained by a mixture of three gaussians you can see here that this the overall trend of the data does not follow a gaussian distribution by itself. So we can cluster the data into three different components and say each of these individual components is a cluster following a gaussian distribution. In fact this particular data has been obtained or synthetically generated by three different gaussian distributions as given by these three different iso contours. See these are asymmetric gaussian distributions in 2D, three different class means indicated by three different colors and their iso contour lines and actually if you look at this particular plot this is showing a surface plot in two dimension where the height of the surface at each individual point reflects the probability density of corresponding cluster or a gaussian. I repeat again if you look back into the slide this surface plot can be visualized to be an extension of this plot here where this plot indicates iso contour lines or curves of equal distance with respect to the class mean but at each point if you compute the probability say you compute the probability at a point here and translate that to a height this is the plot which you will get. So you will get a surface plot where the height here on the right hand side is indicating the probability density of that function. So what I mean is this is a synthetic data obtained by three gaussian functions and now overall so this cluster density may look like this with respect to the three clusters. So it is difficult to actually model this under a single gaussian distribution even in 2D and these are the three sample points corresponding to three clusters. If you remove the cluster level or the color of this data this is the data which you will have. So you cannot model this perfectly using a single gaussian and this data shows the example why do you need multiple gaussians or a mixture of gaussians to model this data of course you could ask me a question how do you know a priori how many gaussian functions you need okay. So that is something which is not under the scope of the discussion today and it is a matter left for individual researchers to find out for a given data set what is the optimal number K. There are methods to find out the optimal number K. If you have a data set a priori given to you often you can find out some methods by which the best K number of gaussians you can fit on the data. In this case of course since I know the data beforehand I will say that the number of gaussians is 3 but if you give you an arbitrary distribution which is non gaussian nature whether K is equal to 2, 3, 4 or 10 or even more is very difficult to visualize in practice in general but there are methods which people adopt to find out what is the ideal value of K for the expression. So we can think of mixing coefficients as priori probabilities for this individual components and so for given a value of K we can evaluate the corresponding posterior probabilities called responsibilities which can be visualized as some latent variables in our expression which we saw couple of slides back. Let us get back to the expression of the log likelihood but before that we look at this Bayes rule in which we define an expression of lambda K as a latent variable given under the Bayes paradigm so this is nothing new for you this is the posterior probability the class priors and so on and so forth which we have discussed earlier. So what we are doing here is taking the class conditional probability to be our normal distribution a mixture of gaussians so we have replaced this term here by the numerator as given by the mixture coefficient and the corresponding unconditional prior to be the summation of all the gaussians in the bottom. What is the mixing coefficient mu K here? The number of samples for a particular class divided by the total number of samples here. So interpret that the number of samples for a particular class as the number of points assigned for a particular which is not assigned beforehand we do not know how many samples belong to a particular class K. So that has to be obtained and found out which in turn will actually give you the mixing coefficient pi K. So what does EM algorithm do? So the EM algorithm is an iterative optimization technique which is operate locally to find out the set of values of the parameters. What are the parameters now we need to estimate here in a gaussian mixture of gaussians mixing coefficients the set of class means for individual class so if there are K class let us say somebody decides that I want to fit K mixture of gaussians or K GMM's or K gaussian mixes to be very precise on the data so K is known. So if there are K gaussian classes which you want to fit so you have K different means each of this mean has the dimension which is the same as the dimension of the data but there are K means K covariance matrices and K mixture coefficients so 3 multiplied by K seems to be the number of what not in terms of the number but K sets of parameters which you need to estimate okay well of course the mixing coefficients each of them is a scalar quantity that is all right for mu K there are K means each of dimension D K covariance matrices how many elements D square elements within each covariance matrix so these are the set of parameters one needs to estimate let us see how the EM does it. So there are two steps in EM one is called the expectation another is called the maximization and this is done iteratively one after another you have an expectation step or an estimation step as it is called followed by a maximization step and iteratively you follow this pair of steps one after another in a sequence unless you have a condition of convergence which is satisfied at the end so estimation is for given parameter values we can compute the expected values of the latent variable and hence it is called an expectation step as well and then you have a maximization step which updates the parameters of the given model based on the latent variable calculated using the ML method okay. So let us look at the EM algorithm now so given a Gaussian mixture model our goal is to maximize the likelihood function which you have seen if you slide back with respect to the parameters well pi, sigma and mu comprising the means which is the mu the covariance matrix sigma of the component and the mixing components pi K okay. So the first step is initialize the means J is just an index running from 1 to K the covariance terms and maxim coefficients and evaluate the initial value of the log likelihood. You can start with arbitrary set of random values here as well you can start with arbitrary set of random values but instead of being absolutely random what you could also do is take since you do not have something like a class information you can take the overall mean of the entire dataset and take the individual mean of the clusters or the Gaussian to be the data mean okay. The covariance matrix also could start but in fact there is lot of some degree of research which is happened to find out what should be the good starting point for any iterative method or any optimization methods the more closer you are to the final solution the faster you will converge the better and accurate solution is what you will have so instead of starting with absolute random values in this case it is possible to do that you can have better estimates but I am not touching those aspects in this particular talk. So initialize let us say with some initial values or which could be even random values you go to the E step of the M which is the expectation step and that you compute the latent variable as given by the expression here. So this is for the kth Gaussian this is the gamma k the latent variable for the gate Gaussian which and the corresponding expression is given here for the kth. So in the denominator you sum up all the Gaussian distributions for that the value for the corresponding x which you have estimated using the random number. So sum up all the Gaussians in the denominator can the corresponding Gaussian is in the numerator after you have estimated this let us go to the third step which is the M step in the second step mind you you have estimated this gamma j or the gamma k whatever the index has changed but it is the same variable and that goes inside the expression here to compute the corresponding mean and the covariance term and this is the same as the ML step done earlier except that the latent variable it is sort of a weight here which comes here and helps you to estimate a more accurate value of the mean and the covariance matrix remember the mixing coefficient must also be calculated using the latent variable computed in the E step in step number 2 earlier as given here correspondingly. So one this mu j's are available here so all the three you can see the three expressions here the mixing coefficients and the covariance and the mean they are all computed using the radar sample points and the latent variable which uses the normal distribution expressions as given here for the E step then what you do obtain the Gaussian mixtures using the parameters estimated in step number 3 to have your gmm. Now what you need to do here is find out if the corresponding likelihood estimated here truly represent the data samples if this is not which will not typically happen in a few iterations you go back to step number 2. So you keep repeating steps number 2, 3 and 4 what essentially you are repeating step number 2 and 3 which is the E and the M part of it the expectation and the maximization of that and that will help you to actually converge to better solution will have an illustration of this very, very soon in the next few slides and you put a convergence criteria and say that I will keep on repeating this process till my log likelihood of the Gaussian distribution satisfy some criteria of convergence. So the convergence criteria could be such that in successive iterations or over a set of few iterations the parameters do not change what are the parameters the mixing coefficients pi the mean mu and the covariance scattered sigma they do not change over successive iterations or over a last few iteration that is one condition of convergence which you can put. The other similar one which you can use is given in step number 4 is when you estimate this log likelihood if this itself does not change over a set of iterations. So you compute and pre store the log likelihood value which you have computed in the previous iteration compare that with the current one and if the change is negligible below a certain threshold you say that you have met a criteria for convergence and you say that you have estimated the corresponding Gaussians over the data distribution which you have. So to wind up let us take an example now in 2D and these images have been obtained also from the book by Bishop. So we have taken it from the e-book passion recognition and machine learning the reference of this book has been given at the beginning of this particular lecture. So what does it show here? This is a scatter you can almost see it is visible that there are two different clusters of data. So it is possible to fit them with two different Gaussian distributions. So almost blindly I am selecting the value of K to be 2 but you can select K to be 3 or 4 also. There will be some amount of convergence whether good or bad is another thing to be seen but in this case let us take the example of A equal to 2 and let us see the Gaussians have been initialized at these two places with the corresponding mean and scatter. These two ellipses show that there is a Gaussian here K equal to 1, K equal to 2 Gaussian is here that these are the corresponding means at the center of these ellipses and the distributions the scatter is in 2D. So as you keep proceeding you remember what did we do in the EMA algorithm there were two typical steps. One was the E step in which you are estimating after the initial set of random values have been used to start the cycle for the corresponding set of variables or the parameters of the Gaussian mixture model. You use the E step to estimate the latent variables then using in the third step you go to the M step where you actually estimate the parameters again using the latent variable and continue this process of course you keep a watch in the log likelihood. As you proceed you can see that these are the initial set of points which are marked in blue will be assigned to this particular Gaussian and what will happen to this set of points because they are the ones which are going to be close closest to the corresponding Gaussian. Remember this was the initial stage and you start assigning the distribution because this will the points lying close to the blue cluster here or the blue the Gaussian marked in this blue ellipse will be closer to this set of points and hence they will be assigned to this corresponding Gaussian and the points which are labeled in red now will be assigned to this. So what do you do now after this assignment you will recompute the parameters the mixing coefficients the mean and the scatter let us see how the recomputed means after the first iteration look like. So once you recompute they will appear like this from the data this is the distribution for the points which have been assigned to the Gaussian this is step number 1 and the corresponding one which is in 2 will be marked here this is after the second step. So this is how it is totally start converging you reassign the points once again and this is how the this is at step number 5 we can see that the one of the Gaussian is tending to converge to this close cluster of points marked in blue the points here are becoming red following another Gaussian distribution after 20 iterations you have almost converged to this point and this is the final stage of iteration where if you still iterate you will not have a change in either the parameter values or the log likelihood criteria after you compute with this set of parameters. Let us have a look at this animation once again so this is the starting point this is the starting point you do not know where are the clusters where it should put the Gaussian so you can start almost anywhere and then this is how the convergence takes place second iteration fifth iteration and the 20th iteration. So this is a method by which you can fit a set of Gaussians to a certain scatter of data points which do not follow a univariate single Gaussian function and this is a method which is actually used not only to form clusters but actually used to model data points because after this you can actually apply all your methods of classification or if you want to transform clusters group them under certain criteria and so on so this is one method which is used to model as well as form clustering thank you very much.


Good evening to all at the Indian Digital Marketing Awards 2021. What I recall from the day when the jury got together is that firstly it was a packed day because there were so many entries, perhaps more than should have been there in the first place. In fact, one subcategory had 27 shortlisted entries. But overall I think the delight of seeing some really magical work across many categories is what made the day very enjoyable and rewarding. Most of the winners were eventually selected unanimously by the jury but after a lot of discussion and deliberation and in some cases that meant making tough calls with the choices we had in front of us. We did not award bold in all categories because the jury was very keen to reward only high quality work and I think that was absolutely the right approach. What was a revelation to me was that many brands in the BFSI space had some of the most creative and clutter-breaking ideas which was really good to see. So my congratulations to the winners of Meddakutt as digital becomes more and more a part of all consumer lives. Celebrating great work is a great way to keep raising the bar. So all the best and stay safe.


リniejپ پروحا realistically مھرٹشارات کے زیادت پر ساؤر Yetterene حسان position ، رکھ پرتر میں ب materials and write ideas میں اور شاہ والек میںadia ناسنگن pon سامان جőین میںبہیں상을 پڑھ سکتے ہے کے دن آپ بھی مہلے يراہ Спасибо ایسے ہم مقادintellیی緹jer جیس unjust سب کلہ promoting جائ workshops لہذا ہم اس میں حجز بہت پڑھ لائے نساری جان کردویں مجان ، ورغم جانتے ہیں کہ آپ کو سوچنے کے لیقہ برور کو کسی درلی ہوگا کہ آپ کو سوچنے کے لیقے ترابق کے لیقے ہوتا ہے جو ہی روحا اپنے لوگوں کو جو حضانتی باتی ہیں سوچنے کے روحیت کیا ہے کیوں ایسی بھی روحیت کیا ہے؟ کیوں لہذا ہے کہ بھی روحیت کے لیقے کو جو کسی درلی کے لیقے میں ہوا ہے انہوں کو جانتے ہیں۔ انجاہی ڈس بیلیوزار ہمارے میں نہیں ہے ، اگر從رار ہوتے ہیں بہت ہونے کو اتنا بات ہے ، وہ جب انجاہیاں ہوتے ہیں ، انجاہی ڈس بات ہے۔ انجاہی اپنے کو اتنا بات کرنے کے لئے وہ اپنے بات نہیں ہوتا ہے۔ انجاہی ڈس بات کرنے کے لئے سب اللہ کہہیں گے لائے غوررنکہ تقلوب اللذین کفرو فِل بلاد متاع قليل ایک خطر ہے کہ جونریں امام کی تصور کے بامی والے Hait کہ ایسے ہم اطبیقوں کو اپنی ایک حقیقت کو براہنے کی بہتا ہے۔ لیکن تیسیف کیا لیکن ہے۔ یہ فرمیشنے کے وقت کو درمہ ہے۔ سبحان اللہ ، انھر تک ساکتے ہیں لہذا انھر اگر تک ساکتے ہیں۔ آپ اگر تک ساکتے ہیں ، ایک بلافت میں جانتا ہے۔ لہذا اللہ ساکتا ہے ، آپ کے بعد انہوں کے لئے تموں کے بارے میں سمجھا ہے اور آپ کو کہا ہے کہ آپ کو بہت پہنچ رہے ہیں ، ہم آپ کو اپنی اپنے بہت ہی جو جہتے ہیں جب آپ مجھے کیا وہ اپنے اپنے حکومت ہے اور اپنے حکومت جو میں کسی بہت ہی یہاں ہوں ، اپنے اینکتا ہے ، ہمانا کیا کیا ہے کہ ہم جو حقی سال ہے جو اپنے اپنے اپنے اپنے حکومت ہے ۔ اپنے اپنے حکومت ہوں ، آپ کو سبحانہ ہوں یہ بڑھا ہوں ، یہ اللہ کہتی ہے ہمارے سبحانہ و تعالیوں کو سبحانہ اور ہونے ایک کیسا ہے ، تو آپ ایک کسی بہت پر سیکھیں۔ بہت کے بردانی کے لئے ہمارے سبحانہ ہوتی ہے ، مجھے ایک دوسر طرح ہوتا ہے ، آپ کھول کتا ہے کہ آپ کو چیزیر کیا ہے ایسا اوی آپ کھولی کیا ہے کہ آپ کو چیزیر کیا ہے ، ایک کسی طرح ہے ، ایک پرسن کا مطلب ہے کہ وہ زکار نہیں کیا ہے ، ایک پرسن خنانی جو آپ کو مسجہ ہے جو آپ کو معالی دل برس پر دوستہ لیکن اسی رلی کو رکھتا ہے جو آپ کو اس کو مکنے کی تعلق لأہی امام کی میکنے کبھی ہے جنگ، جو آپ کو کی خود کی تعلق معالیہ کمیچ کرتے گا سن؟ جو آپ کو ایساییی کبھی luck کو مکنے کی طرح بیئر34 اور شامل سے کبھی کیی خود کیا؟ جو آپ کو کھائے کھائے سن، تو آپ کو نہیں تزاق کرنا چاہے اور پھیس جو آپ کو سمجھتا ہے جھیں ساتھ یہ ہے، ہے جب ہمارے سناٹوں سے امام جب اہم امام مرئے روشنا ہے ایک امام مرئے روش ایک بات ہمارے لئے دے لینا کنی مختلف دوست ہے کیسے جو اسم حیرت کے خدا کیا ہے ، زیابہ سیارہ آنکھیں وہاں میں پیدا کرنا کے بار کیا کیا ہے جب ایک مہار امام cooled مٹلی you lose everything and you have such depression that you begin to question اللہ in that case perhaps it may be the result of something you've done that you were not supposed to do or something you did not do that you were supposed to do but اللہ says when we catch you we will not let go اللہ اکبر بے اللہ سبحانہ واتعالہ not let that happen to us لیسے اللہ سبحانہ واتحالہ جائے ڈالا ہاں ہاتھا ڈیزے کے بسلہِ رسول اللہ سllie کے سلیٰ بہتوک کی ڈ ig انکی لیسے خطیت کی اچل دیتے ہو جائے ڈیزے کی اچل اچل بھائی ہے ترانق away ، اللہ سلیٰ کہ آپ جائے ڈیزے کے بہتوں کا اچل بہت سکتا ہے لیکن ہم انگرارات ہم سے سفرہ کر رہا ہے سے بھی اور سیسی لائے گا when the fixed time of Allah comes it's not going to be delayed and obviously death is something that is never delayed but Allah سبحانہ وتعالہ speaks about this another very very strong effect of sin very clear effect of sin is the knowledge you have of the religion begins to diminish you start forgetting what you know you learnt the Quran you learnt something you learnt a few a hadith you learnt rules you learnt regulations you begin to lose it as a result of sins that are committed as a result of not fulfilling your prayer as a result of not fulfilling the obligation Allah has placed upon you as a result of eating haram as a result of that which will displease Allah سبحانہ وتعالہ being done you start forgetting and when we forget the knowledge guess what happens you lose خشیہ you lose concentration and you lose the beautiful taste of worship so a person who is in grossed in a sinful life he doesn't want to pray it's such a burden it is such a big burden he doesn't he or she doesn't want to dress appropriately it is such a big burden notice i said he or she because it's also he not only she you know people think that rules regarding clothing more for women the answer or the reality is do you know a lot of the time some of the young boys wear tight clothing they're not supposed to be wearing they show half their backsides they're not supposed to be the case they want to show off their chest saying that it's only from the navel to the knee that's not true you need to cover respectfully in a dignified manner as a believer may Allah سبحانہ وتعالہ grant us understanding so it becomes so hard to dress properly because your life is filled with سن سبحانہ اللہ تعالیٰ نولیج is gone you not you find it's so difficult to make will do like it's a burden because you're doing something wrong that's the reason so Allah takes away the sweetness of acts of worship from a person who sins and remember i'm not going to go into every sin and what it is because the list of sins is endless endless meaning so many things people could do sometimes a deed that appears to be good can become sinful if the intention is dirty may Allah سبحانہ وتعالہ help us cleanse our intention so to be to have knowledge snatched away to have the sweetness of worship snatched away then one sin leads to another when you start committing sin initially it doesn't feel like it's something so serious or should i say initially it feels like you know what this was just a one of i'm not going to do it again when you do it again in a third time it becomesthree year to see that's a result of the evil effects of the sins that believer engages in it becomes such that you just feel like carrying on from this one you commit another one and then you say by the way i am committing that let me just go into here i went into the night club now there's alcohol let me just drink now that i'm drinking there's a bit of drugs let me just do that now that that has happened the you know the adultly comes with اسے دیکھیں دیکھیں گے before you know it you are drowning in so many different sins that you feel that you are now at the end because you are depressed you are stressed you are sad so much has happened and at the same time you actually feel within you that you know what there is so much of darkness in my life this is why the door of towba is open i know i will speak about it towards the end but i need to mention it just in case someone doses off near the end may Allah سبحانہ وتعالہ forgive us because this is a topic people don't like to hear we always talk about you know goodness today we're talking about punishment today we're talking about how your evil deeds have an effect on you because we are struggling my brothers and sisters here's another one do you know that when you seek Allah's forgiveness and you have come onto the right page with Allah he opens the doors of sustenance it is for you in all different ways the minute you turn your back on Allah the one of the first things he snatches away is your sustenance no baraka no blessing in it you might say well my sustenance was written 500 years before i was born correct it was also written that you were going to sin and as a result of that you were going to suffer so the evil effects of sin my brothers and sisters before they set in let's ask Allah's forgiveness وَمَا کَانَ اللَّهُمْ عَذِبَهُمْ وَهُمْ يَسْتَغُفِرُونَ Allah says Allah will not punish them for as long as they are seeking forgiveness so if you seek forgiveness while you are genuinely asking Allah's forgiveness he says i'm not going to punish you i'm merciful enough to say okay fine we've heard this سبحان اللہ سبحان اللہ so Allah takes away sustenance today people what we tend to find is because we are in a desperate situation maybe we don't have wealth maybe we're struggling in business we tend to think it's okay to resort to that which is prohibited that you know Allah will forgive us so you want to eat interest you want to do that which is haram you want to perhaps steal from someone you want to deceive someone you want to just go and do a deal that is not acceptable islamically you might have a figure but you don't have the blessing you might have a large sum but it will come about with no goodness Allah takes what he wants through sickness Allah takes through damage Allah takes through accidents loss all this if you haven't paid your zaka the sin that is actually perpetrated the result of it is Allah takes that money anyway i'd rather give it willingly you know that money is supposed to be out of your system i'd rather give it willingly than for Allah to extract it from me in a way that i looked at as something some disaster so this is why be charitable similarly if you've earned haram it's not actually legitimate for you Allah will take it away at some point it's going to go in what in all sorts of waste it will result in the person eating haram so your energy that you've derived is actually made from haram means it will only be encouraged to do that which is haram so if someone's wealth is haram they've been eating it they'll love to go and commit adultery to go and temper with perhaps something that is not allowed maybe to go to the clubs maybe to do that which is prohibited and the money goes before you know it where's my million well how did you earn the million if it was hard earned with your sweat perhaps you would have been more conscious of where it was spent but when it is not and when you've got it through clandestine means what do you expect when it comes to spending it it's going to go so remember in islam we are taught more important than the figure is the blessing of the almighty and that is clean and clear Allah blesses people my brothers and sisters be happy with the test that Allah has tested you with you cannot when you see the examination paper decide that you know what sorry invigilator this question here i don't want it i'll only answer question two and three number one not for me you fail your test same applies Allah chose your paper for you you have to look at it and say i'm going to attempt every question try my best and subhan Allah you will succeed by the help of Allah and His mercy but you need to be on the right page let's move on similarly when it comes to the issue of sinning Allah سبحانہ وتعالہ tells us that the gifts of Allah that He has given you He starts taking them away so Allah gave you something you are happy happy in your marriage happy with your children everything was happening cool and masha Allah you know as we say everything was flowing subhan Allah and suddenly when we started disobeying Allah in our own ways Allah says okay i give you a chance are you turning no you're not turning you turning Allah shows you one or two signs He gives you a few hints and after that you know what it starts there's no happiness in my home there's a problem my wife of how many years suddenly i've got a huge issue and suddenly this and i'm stressed like i told you there is a difference between the test of Allah and the punishment of Allah big difference the test of Allah you are happy with it the punishment of Allah you are angry you are so cross upset it destroys your emotional balance completely that is the punishment of Allah without a doubt without a doubt we need to go back and thank Allah oh Allah i thank you i really thank you that you've chosen for me these tests ya Allah help me through my problems my issues so when we see the نعم or the gifts of Allah being snatched away from us one by one we need to go back and look at what we've done that we were not supposed to do or what we did not do that we were supposed to do and we seek اللہ سبحانہ و تعالیٰ اس فجفنس then اللہ سبحانہ و تعالیٰ says that when a person does good deeds Allah loves the person and Allah announces in the angels oh my angels i love this person i want you to love this person the angels begin to love that person and the angels make an announcement for those on earth who are pious and the others on earth that oh that oh people Allah loves such and such a person as a result we have loved this person we want you to love this person as well so this محبہ and the love for that person is widespread it's a sign of closeness to Allah the opposite is true when a person sins hatred develops Allah سبحانہ و تعالیٰ becomes upset angry people start disliking that person after they like them or maybe they didn't know them but no one wants to look at his face this person is so as pretty or beautiful or handsome as they may look outwards no one wants to interact with them why it's the evil effect of your sin my brother my sister that's what happens no one wants to talk to you no one wants to interact with you may Allah سبحانہ و تعالیٰ not make us from among those this is a very very important point as well similarly things become difficult you know when you're close to Allah اللہ اپنز اللہ اپنز the doors انسورت اللے اللہ سبحانہ و تعالیٰ speaks about how those whom اللہ سبحانہ و تعالیٰ those who believe and do good deeds and they spend and Allah loves them what does Allah do Allah makes them do things that will be easy Allah makes easy for them that which is good Allah makes easy for them the path that will earn his pleasure but those who do evil those who are stingy when it comes to wealth niggardly they do not spend they do not give from what Allah has given them Allah سبحانہ و تعالیٰ says we make difficult for them or we make easy for them the path of difficulty wherever this difficulty اللہ سبحانہ و تعالیٰ سیروہو لیل عصرہ we make easy for that person the path of difficulty hardship that's the only path that they follow this is a result of the sins of the person and i've explained to you both types of sin then another very very interesting powerful scary point very scary meaning it's something that will you know cause alarm if you do not fear Allah you begin to fear everything besides Allah if you have transgressed against Allah you begin to become worried about the people you begin to become worried about the rest every time you have the fear of Allah and you have fulfilled the instruction of Allah Allah suffices for you Allah is sufficient you have the fear of Allah you're doing everything correct there's no harm you're not worried you come into the masjid allahu akbar your concentration is salah is to its maximum to the best you can the reason is you have nothing to worry about what did you do nothing wrong i didn't do anything wrong i come here i'm such a happy person allahu akbar and that's it i don't fear anyone besides Allah you will always have a person saying a thing or two that's negative but none of us can be saved from that because it's part of the test of Allah for both the one who was spoken about and the one who's speaking but when a person sins they are worried they're not fearing fearing of Allah they are not fearful of Allah subhanahu wa taala they come they wait what will this person say did that one see me a person who steals for example he thinks that someone must have seen him how you know this person might know that person might find out a person who has stolen a person who commits adultery a person who has done anything wrong he's worried about humankind more than he's worried about Allah subhanahu wa taala this is a direct effect of the evil that a person does notice i'm still saying a believer because at the end of the day we do believe my brothers and sisters like i say i'm repeating it a second time the doors of repentance are open always for as long as it doesn't get to the end we are still living we're still breathing we haven't yet got to sakarat we haven't yet got to غرغرہ meaning the point of death of each one of us and the world is not yet come to an end so we can't turn back to Allah subhanahu wa taala so remember the more we become conscious of Allah the less we will fear the rest and the less we are conscious of Allah the more we begin to fear the rest you know a very very powerful point as well is when a person begins to sin the devil tampers with them more اللہ says do you want to know who the jinn come in trouble do you want to know who the shayateen come in trouble they trouble those who are liars and those who are sinful a fucking a theme you want to lie without even thinking don't worry you might get away with it for a while but the jinn will come in trouble you shaytan will come in trouble you start hearing things don't you read suratul jinn Allah subhanahu wa taala says اللہ بیو اس ویسو فیصدور الناس you start getting was wasa you don't know what's going on you start hearing a voice all that is because my brother my sister it is the effect of sins that are committed turn to Allah all that will go away turn to Allah correctly all that will go away subhanallah eat that which is حلال if a person eats that which is حرام there is a skittle effect until the person lies depressed skittle effect and that might take 30 years how long 30 years we ate haram 30 years back for a period of two years it affected us 30 years down the line unless we sought the forgiveness of Allah subhanahu wa taala and that's the third time i'm saying this seeking the forgiveness of Allah is extremely important so my brothers and sisters if we would like to be شیطان سے سلاعیت کردیتے ہیں۔ جن سے بہت جبی سے سلحالہ کے مجید کو سلحالہ سے مجرد کردیتے ہیں۔ آپ کو اللہ کی عبادت کرسکتے ہیں۔ سلحالہ کی قدوق توابہ کی تصطیصیر ہیں۔ ملیہ جسے آپ کی عبادت ہیں کہ لوگوں سلحالہ سے دیتے ہیں۔ وہ کہاں پر ، سلحالہ کو مجھے کچھ کتے ہیں۔ چھوڑا رہا ہے۔ دیکھا۔ guard لی۔ جد معامل قربت ہوں ہیں۔ جو یہ ہے جو یہ ہے، نا اللہ ننق 같ی ہے اور ایسا اللہ آپ کو بارہ کیا لہذا تجتا ہے جو جو کوررارہ وہ ہیں تک بہت کرا۔ when we say have you read the Quran have you read آیا تل کارسی the answer is no well how do you expect to be helped اللہ is telling you hear our body guards i'm giving them to you all you got to do is open the door an let them in you haven't even bothered to open the door it will take you two minutes to read آیا تل کارسی the door will be open سبحان اللہ my brothers and sisters a very important point that سےòngا ہوںfight سیو絵 اме لیٹو着 اس سے مہاری جانتا ہوں لہینہی رو also will خ miałار ہے ، اللہ صلح وہwow بیدہ باد anyhow رو میکس طرح ہوسکی��요 اور سو醫 اس weil خاط extent سو ہوسکا کھSayت ا already صفیع Technologies ہوا ان جانتے ہوں πہل کی ایک آہ cosmetics سعودی ایک اجتار پر کے لئے آپ کنا اشتر ، خصیصا ہوں کہ آپ اللہ کی بہت ساپر کیا ہے۔ یہ خصیصا ہے۔  یہاں کیاulptروں اور بھینے شامی فیصید سارے انجای جبانوں کو دیکھتے ہیں جتا ہےا اگه آپ کو کھوٹ تلق ہتا ہے کہ آپ جاتے گا جبان اللہ میں ہمارے محاول ہوتا ہے تھا مشاء اللہ یہ جمعہ مینے وقت اللہ سبحانہ وتعالی has warned us about the punishment of the grave, the punishment of the hereafter as a direct result of the evil that one may commit. This is a topic people don't like to hear. I can't remember when last I heard about the scorpions in the grave, when last I heard about the grave narrowing and crushing the chest and the bones of those who are in it. I can't remember when last I heard of the snakes in the grave. I can't remember when last I heard of the screaming in the grave such that the Prophetﷺ says if man could hear it, they would not want to be buried. That's the hadith. No one likes to hear this. It's the effect of sin. And as for the hereafter and the punishment of hellfire, people don't like to hear it. When people will be ripped to pieces, burnt and made to be drinking that which is absolutely boiling, which destroys the intestines completely and which is then renewed in order to taste the punishment and whatnot. This is just a tip of the iceberg. Not an iceberg actually because the ice would help you. But at the same time my brothers and sisters, the biggest gift we have is toba. Seek Allah's forgiveness. And then smile and have hope in the mercy of Allah. Smile, have hope. Life is not just depressing. No it's not. It will be test after test. Definitely. It will be filled with challenges. But by the help of Allah, you will get through every one of those challenges. It might take a year, 2 years or 10 years or 30 years. Trust me, by the help of Allah, you will get through it. You will keep going. Never lose hope until the end. Right up to the end. Worship your Rabb. Keep on worshipping your Rabb. Without losing hope. Without becoming despondent. Right up to the point of your death. May Allah سبحانہ و تعالیٰ make it easy for us. May Allah bless us. Like I said, the door of taubai is open. We seek Allah's forgiveness. We will be protected from all this. اقولوا قولیٰ هذا. وصال اللہ وسلم و بارکہ عالا نبینا محمد.


We just built a rotating bookcase and we're going to show you how we did it right now. What is up, welcome back. Today we're building a storage unit, shoving you, spinning, cork board, a rotating organizing bookcase. Okay, we've made all of our cuts. We used half inch plywood for the sides in the back, tops in the bottom. We made these frames to sturdy up the top, which will have trim on it, and the bottom, which will have a base, a swivel base to it. It's going to spin. Next step, assembly. So we're going to do this really quick. All right, we're just going to put some glue on these frames, lift it up into place, squeeze it together with a clamp, and tack it in place with some 1-inch flat nails. In the bottom to give it some strength, and we're going to recess them, or countersink them using a countersink bit. Swivel base, we're just using some 2x4s and half inch plywood to put on the top. And that's where the Lazy Susan, just go, just go. Right there, now we're going to center our Lazy Susan in the center and attach it. Next step, we install the shelves. To Lowe's and Home Depot, to get more trim, and then more trim, and then some more trim. Because somebody doesn't know how to trim, trim, me. Horrible that. All right, so now we're going to put some trim on the top. Does it look like my body's missing? Time to do some sanding and some painting. Okay, we've finished painting, we're just attaching the clothes hooks to the back. You like to do it yourself, build it yourself, make it yourself, so do we. So if you want to see more projects and you're not yet subscribed, go ahead and hit that subscribe button down below. And remember to hit that bell to be notified of our new videos each week. Before you go, check out one of these other videos over here, over on this side. Here's a subscribe button, other videos to watch, subscribe button.


Wel preferably T Councillor, it is the Everton news daily. Everton's manager say it continues into its third week- it will be three weeks tomorrow when Carlo Ancelotti confirmed that he was leaving for Ray Australian Madrid. At that moment there's no news on whether there were any closer to appointing his manager. Over a weekend there was obviously talks that Rafa Benitez would become the new Evan manager. There's been a lot of uproar from a section of Everton. ElIPon is not happy with that ac mae'n gwybod bod y teimlo yn dechrau'r storio i'r Bernita er mwyn i'r sefydlu ar y dweud hynny, yna fel ymgyrch chi hefyd, oedd gennym ni'n meddwl sy'n meddwl i ni. Mae'r spiritog Santó'r wedi gweithio a'i ffordd a'r hyffordd yn i'r reg panwotech yn gyda'n ymddangos gan Mhenach, ac mae'n kuwch i Bernita. Rwy'n diem ni'n credu fan hyn likes ond a ydw i ni'n meddwl i'r berthynas felny ar y Franc, Evernon, nid cyfnodol wedi'i evernon. Mae'n ddod i'r sioch. Mae'n ddweud Llewciam Ffawr, yn fawr o'r ystod i'r Evernon y blef yn ysgrifftol gyda Chrystle Palos. Felly, mae'n ddweud yw'r hynny, yna'r dyna'r evernon ymlaen yn ymlaen. Mae'n ddweud y club, ac mae'n ddweud yn ymddangos ar y mediadau. Mae'n ddweud yn ei gweithio'r ddweud yn ysgrifftol efo'r amser the wheel summoned brilliant out who knows but at the minutes reading between the lines and seeing what a lot of generals are saying they haven't a no closer to choosing there manager three weeks after they last one left so hopefully things will step up this weekend to be able to get it shorter because the blues do retain a fortnight today to preseason training so we need someone in sooner rather than later. Young defender Kyle John has signed a new two year deal with the club mae'r cyflu gwirioneddれたeth yn ei blygu i ddyda chi oherwydd i teimlo y fath. Y ddweud o fath o sgwrn tori ac mae'r ddweud yn oed.  Fe'n gennyddai Joe Anderson ac Nathan Brodedd yn dweud yn ddod, ac mae hi'n gwneud hynny o hyd o hynny o'r azog yn y dyma yn y sefydig, ac mae Bwysigion wedi'i argyfgrifeth yma felly mae'n gwheilio eitanedd rhan o'r Rhamside, a'i ddaeth yma'r Rhamside yma, fel y gallu y gaeloedd o'r ddwynt ymlaen ni, yw ni'n gwneud am yr ardal i beth. Mae yw storesiaeth o'r Gwladau mewn Cymru. they both getting ready with proposals. But the Welsh midfield it, who knows, we haven't even got a manager. There was stories of Manny Nunes signing and last week that's quite happened. Either at the moment obviously Stronglyng's links to Denzel Dunfried's. Those two signings made real sense this one although Ramsay is a very good player and been in excellent form. a 30-year-old, when you haven't got a manager, doesn't seem quite right, but just reporting what is out there. And finally, John Philippe Gabbaman has posted pictures on his Instagram account of him doing some rehab work as he gets ready to be fit for the start of pre-season with Everton. It will be his first pre-season, he started as an Everton player unbelievably in his coming into the third summer that he will have been here for, and hopefully he will be ready to go day one and can become maybe an important player for Everton, who knows, I know a lot of people won't have faith in that, given that he's had some terrible luck with injuries so far since joining Everton from Minesport. Hopefully this season will be injury free for him and he can become a big player for the club. So good luck to John Philippe as he gets ready for pre-season training. Is it for the news?  Set as a hots up throughout the week so make sure you check that out. We'll see you later.


Going on everyone and happy holidays to you today. We're discussing once upon a Deadpool once upon a Deadpool Well, this is a PG-13 version and a PG-13 cut of Deadpool 2 a film that I Like um, I think the original Deadpool is perfect It's one of my favorite films of all time. I get countless rewatches on that thing and Deadpool 2 I do enjoy I have a lot of issues with the story per day, but the action is great. There's still a lot of great humor in there But this is a PG-13 version of Deadpool Trying to I know they're trying to do the fudge cancer and a lot of the profits are going to cancer research So if you're a fan of Deadpool 2, why not give it a shot and it's PG-13 So more families and people who are kind of restricted from seeing rated art films can now check this version out for themselves Which is nice to see that more people are gonna be able to see Ryan Reynolds version of Deadpool the version from X-Men Origins Wolverine. We're never gonna talk about that Well, this is kind of just the middle of the road thing the Fred Savage stuff that we do see in the trailers I kind of stayed away from I I saw like little glimpses of it But I wanted to stay away and I'm glad I did because I wonder how much they actually showed in the trailers of his scenes Because there's not a lot of him in here There's some good glimpses of him in some moments that really made me laugh and really made it worthwhile But a PG-13 version of Deadpool it's nice to see that like it restricted obviously the blood It restricted the curse words the sexual stuff And they do make it work like I won't lie that this film did not work It did work for what it was but the fact that I know that there is a Deadpool that is rated r And it's the same exact version but funnier you just take out the Fred Savage stuff It worked for me and I would rather just rewatch Deadpool 2 again And I own it But once upon a dime Deadpool or once upon a Deadpool whatever the hell they're calling it. It's fine It's serviceable.   You're gonna enjoy it But if you've already seen Deadpool 2, I can't really recommend it to you unless you really really love that film The princess bride stuff's cool the Fred Savage stuff's cool But eventually it's probably just gonna go on youtube or on another cut of Deadpool 2 or It'll it'll show up somewhere for you to watch. Um, again some great jokes in there Everything's pretty much the same. They took out the blood. They cut up some of the action scenes But one thing that did bother me a lot And I wish they wouldn't have done this is I understand that you have to get around some of the language barriers To make the movie move faster. It's at a faster pace now But there's a couple sequences when I was like, yeah, I understand you're wearing a mask And in adr you can switch what you're saying But I can totally tell that your mouth is not moving as fast as you are talking And it really bothered me because It just didn't add up and I think that was a very slight issue. There's a couple continuity errors too I know I'm like being really nitpicky, but if you're gonna go for the PG-13 cut don't half-ass it I feel like sometimes this was a little bit half-ass. I get it. It's for cancer. That's awesome I'm glad a lot of the proceeds are going for it I'm really happy. A lot of people are going to be able to enjoy a pg-13 version of devlin be introduced to this ryan runnels character But again, I have the right at our version. I'd rather just watch the original version But I will say I still get emotional with venessa and wade in here Before I get to my final thoughts make sure to hit that like and subscribe And if you guys enjoyed this review you guys and check out some other reviews I also do on this channel down below and plus check out sandwich on films because right down there You guys can get into advanced movie screens and check out some movie news and even some movie reviews But of course for my final thoughts. I enjoyed it. It's fine It's serviceable the fred savage stuff is the highlight of the film. I mean, that's the one thing that was a really big highlight I wish they would have done more with this. I think this could have been a very intriguing concept Maybe they're just testing the waters for what they can do with the character when it does go over to disney I hope disney does not do that. I think they still will keep it rated arm and just put it under a different studio that they own I guess time will tell it's all a fun time of the movie So if you didn't get to see Deadpool 2 maybe you should check out this version instead then go check out and buy The original version so with all of that I'm going to give once upon a Deadpool a c-plus Your guys thoughts are on this are you guys interested in are you not let's talk about it down below Do you like Deadpool 1 or Deadpool 2 better? Again, let's talk about it down below Thank you guys so much for watching this and until next time stay class