From the Fairmont Hotel in the heart of Silicon Valley, it's theCUBE covering, when IoT met AI, the intelligence of things. Brought to you by Western Digital. Hey, welcome back, everybody. Jeff Frick here with theCUBE. We're at Downtown San Jose at the Fairmont Hotel. When IoT met AI, it happened right here. You saw it first, the intelligence of things. Really interesting event put on by Read-Write and Western Digital, and we're really excited to welcome back any time CUBE alumni and always a fan favorite. She's Janet George, she's fellow and Chief Data Officer of Western Digital. Janet, great to see you. Thank you, thank you. So as I asked you when you sat down, you're always working on cool things. You're always kind of at the cutting edge. So what have you been playing with lately? Lately I've been working on neural networks and TensorFlow. So really trying to get study, understand the behaviors and patterns of neural networks, how they work and then unleashing our data at it. So trying to figure out how it's training through our data, how many nets there are, and then trying to figure out what results it's coming with, what are the predictions. Looking at how the predictions are, whether the predictions are accurate or less accurate and then validating the predictions to make it more accurate and so on. So it's interesting, so it's a different tool. So you're learning the tool itself. You're learning the underlying technology behind the tool. And then testing it actually against some of the other tools that you guys have.  So first off, kind of experience with the tool. How is it different? So with machine learning, fundamentally, we have to go into feature extraction. So you have to figure out all the features and then you use the features for prediction. With neural networks, you can throw all the raw data at it. It's in fact data agnostic. So you don't have to spend enormous amounts of time trying to detect the features. So for example, if you throw hundreds of cat images at the neural network, the neural network will figure out images, features of the cat, the nose, the eyes, the ears and so on and so forth. And once it trains itself through a series of iterations, you can throw a lot of delanged cats at the neural network. And it's still going to figure out what the features of a real cat is. And it'll predict the cat correctly. So then how does that apply to the more specific use case in terms of your failure analysis? Yeah, so we have failures and we have multiple failures. Some failures through the human eye, it's very obvious, right? But humans get tired and over a period of time, we can't endure looking at hundreds and millions of failures and some failures are interconnected. So there's a relationship between these failure patterns or there's a correlation between two failures. It could be an edge failure. It could be a radial failure, eye pattern type failure. It could be a radial failure. So these failures, for us as humans, we can't scale. And we used to be able to take these failures and train them at scale and then predict. Now with neural networks, we don't have to take and do all that. We don't have to extract these labels and try to show them what these failures look like. Training is almost like throwing a lot of data at the neural networks. So it almost sounds like kind of the promise of the data lake, if you will, if you've heard about from Hadoop Summit for ever and ever and ever, right? Dump it all in and insights will flow, but we found often that it's not true. You need hypotheses. You need to structure and get it going. But what you're describing though, sounds much more along kind of that vision. Yes, very much so. Now the only caveat is you need some labels, right? If there is no labels on the failure data, it's very difficult for the neural networks to figure out what the failure is. So you have to give it some labels to understand what patterns it should learn, right? And that's where the domain experts come in. So we train it with label data. So if you're training with the cat, you know the features of the cat, right? In the industrial world, cat is really what's in the heads of people. The domain knowledge is not so authoritative, like the sky or the animals or the cat. The domain knowledge is much more embedded in the brains of the people who are working. And so we have to extract that domain knowledge into labels. And then we're able to scale the domain through the neural network. So then how does it then compare with the other tools that you've used in the past in terms of obviously the process is very different, but in terms of just pure performance, what are you finding? So we're finding very good performance and actually we're finding very good accuracy, right? So once it's trained and it's doing very well on the failure patterns, it's getting it right 90% of the time, right? But yes, but in a machine learning program, what happens is sometimes the model is overfitted or it's underfitted or there's bias in the model and you've got to remove the bias in the model. Or you've got to figure out, well, is the model false positive or false negative? You've got to optimize for something, right? Because we're really dealing with mathematical approximation. We're not dealing with preciseness. We're not dealing with exactness. In neural networks, actually it's pretty good because it's actually always dealing with accuracy. It's not dealing with precision, right? So it's accurate most of the time. Interesting, because that's often a comment about the kind of different computer science statistics, right, is computers binary statistics always has kind of a confidence interval. What you're describing, it sounds like the confidence is tightening up to such a degree that it's almost reaching binary. Yeah, exactly. And see, brute force is good when your traditional computing programming paradigm is very brute force type paradigm, right? The traditional paradigm is very good when the problems are simpler, but when the problems are of scale, like you're talking 70 petabytes of data or you're talking 70 billion rows, right? Find all these patterns in that, right? I mean, the scale at which that operates and the scale at which traditional machine learning even works is quite different from how neural networks works, right? Traditional machine learning, you still have to do some feature extraction. You still have to say, oh, I can't, otherwise you're going to have dimensionality issues, right? It's too broad to get the prediction anywhere close, right? And so you want to reduce the dimensionality to get a better prediction. But here, you don't have to worry about dimensionality. You just have to make sure the labels are right. Right, right. So as you dig deeper into this tool and expose all these new capabilities, what do you look forward to? What can you do that you couldn't do before? It's interesting because it's grossly underestimating the human brain, right? The human brain is supremely powerful in all aspects, right? And there's a great deal of difficulty in trying to code the human brain, right? But with neural networks, and because of the various propagation layers and the ability to move through these networks, we are coming closer and closer, right? So one example, when you think about driving recently, Google driverless car got into an accident, right? And where it got into an accident was a driverless car was merging into a eel lane and there was a bus. And it collided with the bus. So where did AI go wrong? Now, if you train an AI, birds can fly. And then you say penguin is a bird. It's going to assume penguin can fly. Right, right. We as humans know penguin is a bird, but it can't fly like other birds, right? It's that anomaly thing, right? Naturally, when we are driving and a bus shows up, even if it's eeled, the bus goes. Right, right. We eeled to the bus because it's bigger. We know that, right? AI doesn't know that. It was taught that eeled is eeled, right? So it collided with the bus. But the beauty is now large fleets of cars can learn very quickly based on what it just got from that one car, right? So now think of, so there are pros and cons, right?  It's Sunday morning. You don't know about the collusion. You're coming down on the hill, right? Blind corner and boom. That's how these crashes happened and so many people died, right? If you were driving a driverless car, you would have knowledge from the fleet and from everywhere else. So you know ahead of time, we don't talk to each other where we are in cars. We don't have universal knowledge, right? Right, in car to car communications, right? Car communications and AI has that. So directly, it can save accidents. It can save people from dying, right? But people still feel, it's a psychology thing. People still feel very unsafe in a driverless car, right? So we have to get over our psychology. I think they'll get over that. They feel plenty safe in a driverless airplane, right? Or in a driverless light rail. Or when somebody else is driving, you're fine with the driver who's driving.  But there's that one pesky autonomous car problem. Just when the pedestrian won't go in the car and they stop and it's like a friendly battle off. All right, well good stuff, Janet. And it's always great to see you. I'm sure we'll see you very shortly because you are at all the great big day to conferences. Thank you. So thanks for taking a few minutes out of your day. All right, she's Janet George. She's the smartest lady at Western Digital, perhaps in Silicon Valley. We're not sure, but we feel pretty confident. I'm Jeff Rake. You're watching theCUBE from when IoT meets AI. The intelligence of things. We'll be right back after this short break. Thanks for watching.


Hi friends, welcome back to my channel and welcome. If you're new here, my name is Jen. I'm a certified weight loss and nutrition coach and I'm on the WW or the Weight Watchers Blue Plan. It's Friday, so it's a weigh-in day. I'm here to share with you how my week went, my weigh-in, the WW workshop topic, and we'll set some goals moving into the next week. So if you're excited for today's video, give it a big huge thumbs up. It really helps out my channel and lets me know that you enjoy these Friday weigh-in videos. And don't forget, if you're new or you're not yet subscribed, that you hit the little subscribe button and of course the bell next to it so you don't miss a single video. Check out the description box down below where you're going to find my nutrition coaching. I do offer personalized to you macro and calorie calculation, absolutely essential to lose weight. Whether you're losing or maintaining, you have to know how many calories and macronutrients you should be consuming every single day. I also offer 30 and 60 minute one-on-one coaching sessions. So take advantage of working one-on-one directly with me. Let me help you reach your goals, help you through your struggles or give you the pep talk that you just might need when you're having a rough moment. So definitely check that out down in the description box. Links, discount codes to all of my favorite things and my Facebook group are also down in the description box. Head on over and join us. We'd love to have you over there as well. So we have a weigh-in, a workshop topic. We have a week to talk about and some goals to set, so let's jump in. It's a little bit about my week. I had a great week. I felt a bigger sense of motivation and I think a lot of that stems from having to step on the scale every single morning. I will say that I'm not loving stepping on the scale every single morning. A lot of times I almost forget. I think about drinking my coffee and then remember, shoot, I gotta get on the scale. So I'm not loving it. I'm finding it to be a little bit tedious, but I will say that on the positive side of weighing in every morning, it's really helping me stay on track. I don't wanna overindulge and then have to weigh in the next day. So mentally, it has helped me a little bit when it comes to that. Now speaking of weighing in every day, I told you that I would share with you what my thoughts are moving forward as far as daily weigh-ins. So I challenged myself to weigh in every day in the month of February, which I am doing and will continue to do until month's end. But I've made the decision that I'm not going to weigh daily moving into March. It was a nice experiment for February and it did help keep me on track, which I'm hoping that momentum continues in the month of March and going back to weighing in just one day a week on Friday mornings. Now, if I need that little extra motivation or even reassurance throughout the week, I have no problem stepping on the scale, but I'm going to commit to once a week moving forward into the month of March. So along with weighing in every day, I had a good week of eating. I got in my three days of Jazzercise, cleaned my house, which gives me over 5,000 steps in some active minutes as well. So overall, exercise and food went really, really well this week. I actually wouldn't make any changes. I think it was a stellar week. But before we jump into my weigh-in results for the week, I want to talk to you guys about the topic because it really, truly goes hand in hand with what I've just been talking about, about weighing in every day versus once a week. So the topic is, are you not seeing the number on the scale that you want to see? We all know that the scale is data. It's a box on the floor that gives us data and numbers. It's not the be all end all. It's not the only indication of our success on our weight loss journey. There are so many other indications. Taking your measurements, non-scale victories, seeing a change in your clothes, feeling stronger and healthier. So today we're going to focus on those non-scale victories. Progress isn't only related to the number that we see on the scale. Non-scale victories help us see the bigger picture but also help us stay motivated. So think about this. If there were no such things as scales or scales didn't exist, how would you track your progress? Spend a few minutes and think about your journey and what have you done? What progress have you made that has absolutely nothing to do with the scale? Write down three things that have changed non-scale related just in the last month. Are your clothes fitting better? Are you feeling healthier and stronger? Do you have less chronic pain or fatigue? Take a minute and really think about three things non-scale related that have changed for the better in the last month. One of these three things, maybe a healthy habit that you've created. Maybe you've started a workout routine or maybe you've stopped snacking at night. Really think hard and dive deep into what's changed in the last month. Think about what impact this has had on you. Maybe you've learned to cook and you've tried healthier meals that makes weight loss a little bit more enjoyable for you. Now reflect on the big picture. How are these three non-scale victories going to help you reach your goals and how are they also going to help keep you on track and motivated? How are these three things different when it comes to motivation versus just that number on the scale? I don't know about you, but in the past, not so much now, but in the past, that number on the scale meant everything to me. And if I got on the scale and saw a gain or a maintain when I felt like I did everything right, it could completely derail me. Not just for the day, but sometimes for the entire next week.  Think about how you're going to pay attention to these non-scale victories and pay a little bit less attention to the number on the scale. Fun fact, 82% of WWW members said that thinking about past successes, not scale related, has helped them not only stay on track, but get back on track when they've fallen off. I personally think non-scale victories and changes not relating to the scale or even more important than those that are related to the scale. So down in the comments, let me know what were your three positive changes that you saw this last month? And if this kind of made the wheels start turning for you, and made you think about maybe having less of a focus on the number and more of a focus on the non-scale results that you're seeing. So now it's the time that you've all been waiting for. We're going to jump into this week's weigh-in. Like I said, I could not have had a better week overall. I found myself staying on track, getting in my exercise, and luckily that all resulted in a great weigh-in this week. When I stepped on the scale, I'm down 1.4 pounds. That means that I've lost almost every week in the month of February, with the exception of that one week. That one week, my least favorite time of the month that I saw gain. So I'm going to put my overall weight loss for the month of February right here on the screen for you. I'm thrilled with that. Like I mentioned, the scale is not everything to me. So I am feeling healthier, stronger, and honestly, most importantly, more in control. And that's huge for me. So moving into March, I'm going to be doing more of the same. My commitment is three days a week at Jazzercise, but with my husband being home on a medical leave, I'm thinking that I may try to get in an extra day during the week. I'm not going to plan it, but in the event that I have time, I'll try to work that in to make it four days in a week of working out. I'm also going to continue to stay on track, track every single day. Honestly, good or bad, I'm going to track everything. I'm going to hit my calorie goal with points as my secondary measure, and I'm hoping to have a very successful month of March. I shared in a past video that we're getting another dog. His name is Palmer. He's a French 10, 75% French Bulldog, 25% Boston Terrier, and we're getting him at the end of March. So I really need to be on my game before, and especially once we get him, because he's going to take up a lot of time. So I've committed to myself to continue working out and continue life as normal, even though we're going to add a new puppy to the mix. Don't worry, I'm vlogging the entire thing. We're actually driving eight hours one way to pick him up. So there'll be a lot of fun footage the first time we meet Palmer for you guys to see in a future video. So now I want to hear from you guys. Let me know how your week went. If you wait in every day in February, are you going to continue to do that moving forward? And just let me know what your three successes in the last month were non-scale related. If you enjoyed today's video, don't forget to give it a big huge thumbs up. It really helps out my channel. And if you're new or you're not yet subscribed, hit the subscribe button. Don't miss a single video. I do upload most days of the week. And if you ring the bell next to the subscribe button, you'll just be notified when new videos are uploaded. That way you're not missing out. I do away in every single Friday. Again, check out the description box for nutrition coaching, links and discounts to my favorite things and my Facebook group. Thank you so much for spending some of your Friday with me. Have a fantastic weekend. And I'll see you in tomorrow's grocery haul. Bye friends.


Hi, I'm Machini and I'm from Sri Lanka and this is my first time in Costa Rica and it's a really beautiful country. And the sessions were really interesting and this is my first international conference. And I think I have the maximum knowledge about the ICT and how ITU and how it helps to develop a youth after we've lived in two public courts. So I got the basic idea about how technology is helpful for the youth in the future and we have sometimes ideas to improve and we will be with them within the workshops and I really enjoy this conference. Thank you.


New trend.  This is him holding a slimy debt thing, and this is him holding the love of his life. Tens of thousands! Let's agree to disagree right now. Okay, cause I know we're gonna do it. See, you may have the tens of thousands of women, but I have the tens of thousands of men.  How all the time they were never f***ing good enough no matter how hard they worked. But they got up and went to work when she didn't. And when they tried to escape reality by getting on their Xbox for a few minutes, oh it was a problem. He wasn't allowed to have his own life. He was a prisoner in his marriage. But he would have dealt with it for more years to come, cause he loves his wife and kids. And he knows as soon as that secret divorce was forced on him, he would lose everything, even his kids. What you don't see, sir, is the injustice that's happening behind a lot of those women that are power tripping.  And you know what happens to a lot of those men?  They were never ever good enough. Think about it for a minute. I will probably never pay off my student debt.  Like I would never sleep my way to the top, but I would for sure sleep my way to breaking even. I do not understand why the question when dating is always can you cook? Is it that's the only thing a woman can and should know how to do? I'm about to start asking these men, can you fix a leak? Do you know how to change a flat tire? Do you know how to build a house, sir? Can you grill? This is how we solve all of your problems. He didn't text me back. You have a full roster, okay?  He ditches you. You grab the next and the next and the next. So I'm talking to this girl on Tinder and we're actually having a really good conversation. And so we decided to meet up and I know you shouldn't meet up for like nice dinners, but it was going well and she wanted to try this new place. So I was like, you know what? I'm gonna just do it. So we go there and she shows up with like a guy and I'm like, what's up? Like who's this? Your interpreter? Like what the f***?  And I'm bamboozled because I'm like, I'm your date. And she goes, well, I wanted it to be like a three way kind of thing. And I'm like, what the f***?  So I stayed through the dinner. It was very awkward. She thought we were both going to like date her and be her boyfriend at the same time. And at the end she like hands me the check and she's like, do you just want to grab this? What the f***? This is the put a finger down ho edition.  Put another finger down if you've been in more than four relationships in the last year.  Put a finger down if your body count is over five. Put a finger down if you've texted more than three people at once or talked to more than three people at once. Put a finger down if you sent the same message to at least two people. Put a finger down if you've dated your ex's best friend. Put a finger down if you've moved on in less than a week.   And then put a finger down if you've kissed more than two people in 24 hours. So the patriarchy is like a man having his boot on a woman's neck. Feminism is women asking that the boot be removed. Men's rights activists think that having to take their boot off a woman's neck is some sort of reverse oppression. Conservatives figure that there was never a problem with the boot being on the neck until the woman started complaining about it and if everybody would just shut the f*** up things would be fine. Good guys take any complaint about the boot as a personal attack because not all men wear boots. Male allies try to discuss the issue in a way without alienating the boot. Women with internalized misogyny don't know why these other women are complaining about the boot on their neck. They love having the boot on their neck and there's something wrong with the women who complain. Meanwhile the boot stays on the f***ing neck. So it was finally time to put the spy camera I bought to the test and try to catch my girlfriend cheated. It looks just like a normal charger it's pretty realistic so pretty happy with that. I decided to set it up right here so I could see if anyone came into our room at night and yep. From an angle you can't really see the camera at all so that was pretty great. It's pretty much invisible. I'm going to leave the house now for a couple days until I'm going to go to my friend's house and I'm going to see what she does. A while after we got a notification from the app that there was motion detected in the camera and when we looked at the live stream we could see someone's feet on the top left part of the screen. It's definitely not her feet they're way too big. That's 100% another guy. I ran home to kick this other guy out of my house and literally she locked me out. This girl literally locked me out of my own house when she has another guy over. I actually have that one. I just moved in next door. I'm a supermodel. I don't care who the IRS sends I am not paying taxes. I'm going to say is that a bachelor party in Florida at ages. And his name is Nate. He came up to us out to tell us that he would take a bullet for you. He would fight. Want to know a sad Hollywood tragedy? This is the life of Brandon Frazier. He was one of the biggest names in Hollywood in the 90s. He had movies such as George in the Jungle and of course the Mummy trilogy. And many, many more. The future was looking bright for Frazier and everyone was waiting for his upcoming movies. After an award-winning performance in the movie Crash he slowly began to fade away. And he took a break for two years. Everyone was surprised when he made a comeback. But here's the thing. He didn't look the same. He made a drastic change in his appearance and everyone was noticing this. And his movies weren't doing so well. So what really happened in those two years? Turns out it wasn't just a bad day but rough, rough years with his marriage. After ten years the couple decided to divorce but it wasn't pretty. After the couple split, Afton Smith, Brandon Frazier's wife, won an alimony of $900,000 a month. But here's the thing, Brandon wasn't getting the same gigs and he couldn't afford this. Afton stated he's hiding his earnings to reduce the monthly alimony. During this time he also lost his mom. Now the actor's trying to get his life back and get more gigs. Pray for him guys. So I just received a letter in the mail from my county's friend of the court. My daughter's mother has taken the five phone calls I get a week down to three phone calls a week to tell my daughter goodnight. I don't understand why dads don't have rights. Dads don't have a leg to stand on. I don't understand how a phone call goodnight can hurt anything. I just wish that the mothers that do this kind of thing would realize that the damage that they're causing onto their kids is far greater than the spite that they should have for their ex. If I'm on your for you page, you're not on straight TikTok, but you're not on alt TikTok. You're on daddy and mommy issues TikTok. So how's your hyper sexuality, codependency and self-esteem issues going? Also, which mental illnesses do you have?


That wasn't a good enough intro, so we're gonna have to try again. Ta-da! Dance, monkey! Juicy! Never works out. Hey, welcome back to our stupider exit. It's, um, Corbonne. I'm Rih. You can follow us on Instagram and Twitter. Follow us. Or Juicy content. There's stuff over there all the time. Thank you, everybody! Sort us on Patreon. Follow us on our official Twitter account. Ring the bell to be part of the notification squad. Bang! He rang the Basanti! Dosti. You know what it means now, right? I do now. The 5,000 comments. We were kind of right on track. I knew it had something to do with Dost. Friendship. Yeah, friendship. Which is weird when you hear that song to think every time it's Dosti. The song doesn't convey that. It kind of feels more like Q. Maybe we'll understand more when we see the film. Maybe. Maybe they are friends. I guess. Maybe they're Dostis. Maybe it's Cap and Tony. Dosti. Today, a new trailer dropped. It's a Akshay Kumar. Akshay Kumar in bubble bath bubbles. Akshay Kumar. Look at him, though. It's called Bell Bottom. With Akshay Kumar and Vani. And Vashu Badnani. Note. Bell Bottom is an upcoming Indian Hindi language spy thriller film directed by Ranjit M. Tawari. Akshay Kumar is the lead character with Vani Kapoor, Lara Dutta and Huma Koreshi in other prominent roles. Bell Bottom is inspired from a real life hijacking event in 1980s in India. For instance, the 1984 Indian Airlines Airbus A300 hijacking. I don't know those. I don't believe. Are you aware of those? No. It's not surprising. It may ring a bell. There were several like airplane hijackings were like the terrorist activity in the 1980s. Yeah. So I may have heard this on the news and just didn't put two and two together because and I also may not have known about it at all. So, but yeah, that was pretty common in the 1980s. Plane hijackings. I don't think it's straight. So it's bothering me. I can't see it now. How's that for content? I can see clearly now the rain is gone. Where'd she go? Not Lorraine. Oh. Anyway, this is a new trade. So since you have you got no stupidity. Okay. Have you? Have you? Because there's a squirrel out there and let me tell you that squirrel is on fire. Thank you. Thank you very much. We're here till Thursday. Try the meatloaf. Akshay baby. It's an airplane. India is not a fool, it's a thought. And to defeat this thought, the enemy wants to use every step. When did hijackers come to the USA? Kolkow. The last five years, they've been hijacking together. What have they done to stop it? There's one person who can give all the information in this case. What is his name? Akshay, come on. What is his protocol? What is his code name? Bellbottom. Do-do-do. Do-do-do. Do-do-do. Do-do-do. Do-do-do, I know that song. So you have the chess play, the PC BI, the country, the game list, your name. And then the school of literature. And the post. Just two things that the ball can do, Jack.  There are the mastermind behind this hijack. While we wait for the Pakistani diplomats and intel officers. I am ready for the operation Ma'am, the remaining fuel can go to the midi's T possible destination Dubai, Abu Dhabi and Moscow We have a chance to do that What can we do? A court operation Your deadline is sunset What did you think? Came on Do you want to go abroad? Where?  Yes Army Indian Army is not Dubai In any foreign soil They consider an act of war They want to end the ministry Sir, there are no doubles in chess Our objective is to save 210 hostages And our target is 4 hijackers Dubai has a support group Who will help us Before any action is taken The security will be present Remember, we only have 7 people Now they are in the war They will be very dangerous This time, they will be killed I hope everyone will feel that the mission failed Sir, just remember It's not over Till then Thank you, Shah Shirar Thank you The trailer dropped without subtitles Thank you so much A couple of questions before we get to the trailer Did you ever wear bell bottoms? Yes And quarter way bell bottoms are the best Oh yeah I was born in the 90s They were gone before By the 80s, bell bottoms are done That was 100% the... Is that pitbull? Is that a song? I'm pretty sure it is Shake, shake, shake, shake, shake That song? Pretty sure that's pitbull That's what I know that from Yeah The trailer itself And not that it was glaringly... Nothing glaringly bad It was just almost like Incredibly average Like, I've seen this film 100 times I know that Akshay comes in And he's kind of going to be the hero And he saves the day You might be like the only one There's a couple of cheesy lines in there Thrown in It just didn't strike me as something that I'm like jumping up and down a To see And I'm concerned as well I think, because this is taken from a true story I think we may get a Based on true events And it's just going to be Hyper-entertainmentized Yeah But it doesn't mean it can't Still turn out to be No Good, but I'm with you Yeah, it's just it We never... I see a trailer Obviously there... Like we've said many times That trailers are now an art film Yes It's how they're done They're supposed to get you excited to see it And that one was kind of just like It didn't show me anything really new It didn't even show me like little Akshay quarks That I would normally have wanted Even the one we saw at Kasari Trailer Which, you know, we love that film We thought that film was fantastic We were very excited to see that film This one kind of just left me almost like Yeah It was okay I may have been completely mistaken Did I see Creedie in there from Mimi? Mimi? No, I don't think it was Creedie Oddly, there's no actors in the credits here On that final screen at the end of the trailer But... I don't think it was Mimi, maybe Hold on, it's called Bell Bottom Yeah, I didn't think it was But it looked enough like her That I thought, is it? No, it looks like it's... Okay Is it her name? Haripriya? No, it wasn't her It was somebody else There's like six people on it Oh wait, no This is the wrong... That's a completely different film Called Bell Bottom, but not this one Is this a remake? Probably More than likely I don't see Creedie's name I see a couple like Vani It might have been Vani Maybe Vani Kapoor Yeah, I don't think so Yeah, is it a remake? It looks like... Let's see, where is this from? It says Comedy Thriller No, it looks like a completely... It looks Malayalam But the synopsis is not anything about a plane Anyway But it's very possible, it could be A remake of something, which is not uncommon The director by Ranjit Tawari Who... This might just be a fun non-stop action You know, visual effect, stunt work Thing, but I agree with you It didn't strike me Like when we watched the Tamil Boxing That I can't remember the name of We were very excited to see that film Even Tufan Tufan had a great time Extremely excited to see it Obviously, once again Doesn't always mean it's going to be a good film Correct But it's what you look for in the trailer You don't want to trailer just leave you like Even like a bang them, shoot them up Kind of thing like war Had a trailer that we really liked And it delivered on what we were expecting So maybe this will be something that is Really, really good And you guys can let us know when it comes out If there's like totally surprises But we should also explore Akshay a lot more as well I don't know if this is the one to explore But I know he's done like other ones Similar to this, like Special 26 And other ones that are like More dramatic action And obviously extremely comedic Back in the day Which would also be, I think, pretty fun But, yeah Let us know what you thought about it And why we're dumb, I guess Some of you always like to do that Or why don't you put in there how we always love Hindi things Yeah, we do We just, especially Renvir In fact And how we don't do anything but Hindi things That's true That's a fact We like this We love this obviously Yeah, we did Just because it's Hindi Whenever I like to read subtitles I like the subtitles to be from a Hindi film Me too I just don't like watching other films And usually, like, if I watch something from another region I'll just, I'll put Hindi subtitles Yeah Let us know what you thought about the trailer down below Josh!


Inconventional activities were grounded to temporary halt in Benin City, the Ado State capital following a protest by the Ado Civil Society Organization, Ado's CSO, as the call on President Borla Tinnable to address the problem of economic hardship in Nigeria. The group took to the protest across major roads down to the city centre Ring Road with placards of various inscriptions once President Borla Tinnable to fix the Nigeria economy as a matter of urgency. They also decried the dollarisation of a Nigeria economy, while stating that Nigerians should be used to shoot their currency which is Naira, as they want the Naira to regain its value, as Nigerians do not use dollars. Stressing that the citizens of the country were living in the most difficult times since the creation of the country, they called on the President to fix the problem as it was becoming too unbearable for the citizens. And we are saying enough is enough. On the 29th of May 2023, Asiwaji Borla Tinnable, the President of the Federal Republic of Nigeria, took an oath and one of the oaths he took is to protect the Constitution and in the Constitution it states that the welfare and the security of Nigeria must be its primary priority. Today we are no longer welfare. There is no security anywhere. The man that is hungry is looking for how to survive and is taking advantage of the insecurity of the other man to rip him off of his hard earned money, kidnapping people everywhere. We need the situation to work, the economy to work. The economy is not working. Imagine you went to the market to buy a bag of rice, they tell you 60,000, the next day they tell you 80,000. So how many of us as citizens of this state had that amount of money to buy rice for our families? Because of living, it's skyrocketing every day. The Nigeria has to lose its value, get in their heart. How can we survive? We are more of an import country than an expert company. We cannot survive this moment. So we are saying to Tinnable, don't listen to our voices so that we will not resort to a safe head. And when there is anger, there is anger. It is anger that leads to anger. And when there is anger, there is destruction. I as a person, as a clergyman, I meet with people twice, three times in a week. You can feel anger in the faces of the worshipers. Hello, hope you enjoyed the news. Please do subscribe to our YouTube channel and don't forget to hit the notification button so you get notified about fresh news updates.