I hope everyone is freshened up after these snacks and I know it's overwhelming with a lot of variety of technical talks over here by a lot of experts and I hope you're looking forward to our talk as well. So we are today here to talk about Kubernetes in ML and MLops as well. That we will be covering today is like what exactly is MLops, challenges in MLops, how Kubernetes comes into the picture and how you can use, how exactly you can use Kubernetes into the MLops pipeline, what are the benefits and then we'll look into the some open source tools which helps use Kubernetes with MLops. Next, okay, I have it. We'll start with my introduction, myself, I am currently working as a DevOps engineer at Numblebox.io. We have an end-to-end MLops pipeline platform and I am also working as ambassador at solo.io. Before that, I worked in TCS as a system engineer and I love to contribute to communities open source and interact with open source enthusiasts and I like to write content about cloud-native DevOps and Kubernetes landscape as well. I'll give Mike to Rohit to introduce himself. Thank you, Veja. Namma Chennai. So how are you all? Mumbai people will be like more loud than this. How are you? I know it is 5.55 or 6 PM, right? So still you are here.  So thank you for that. So introducing myself, I am Rohit. You must have seen me or not seen me in giving the talks in Kubernetes world, Istio service mesh and EPPF, that kind of technologies. So I am the person who are a lot active in the application networking background, community background and DevOps technologies. So introducing myself, I am developer advocate, I worked at solo. So today is my last day at solo. So that's how my journey till now. I worked as an MLops engineer, I worked as a DevOps engineer, I have like community background also. I am the organizer for KCD Mumbai, as I am showcasing there. So also DevOps days in India will be happening, right? So I am sure you are looking forward to it. So I am organizer for that also. So going forward, let's go and see, you know, like what is MLops, anyone here? Yeah, what is MLops? DevOps just for application. DevOps is the culture, it is just you can do for anywhere and something. So somewhat is right for sure. As you can see, it is nothing but engineering disciplines, disciplines, which just aims to like unify the ML systems with your DevOps things, like you are working, you are helping the data scientists so they can work development and develop operations together to solve their automations, to solve their daily pain, like they are just sitting and doing this daily, they are coming and checking like if their pipeline are working nice, if training is going nice or not. So that's why MLops come into the picture, like you can automate the things, you can build the pipelines, you can do the various stuff. So what actually you can do, what are the challenges we will discuss today?  So as we can see, data engineer. So what a data engineer do, right? He works with the data, he loves to play with the data. So as you can see, data acquisition, then business owners and your client just wants to provide the business metrics and then you just get it and use the EDA, then you get that stats and load it to the system, then you train the model, you do the stuff. But then it becomes a pain of the data scientist. He is just doing this model deployment training, he gets the error, he again goes back, he again trains the model, again gets there, again goes to previous step. Why I can feel that? Because I worked as an ML engineer previously in the R&D team, so I was just sitting weeks and months just by training the models and meanwhile just training the APIs and stuff, so that's why I got bored also. But then I come to know there is some kind of a thing that exists, which is DevOps. So if you are an ML architect, you will love to use the DevOps where you can do the risk assessment, you can play with the model performance analysis. If you have the ML knowledge, you will firmly get this terms knowledge for sure. But if you're not, it is some kind of a runtime thing which you are playing around the network, right? If you're a DevOps engineer, so that is here in the machine. But as we go forward, if you want to continue your machine learning models, if you want to also scale your models, if you want to set some pipelines in the machine learning, so that you can do in the machine learning ML ops. So data engineering plus DevOps, because it solves that use cases. Same comes under the DevOps plus data scientists. It is nothing but if data scientists love to play with the metrics, right? They are getting the metrics and they are solving that use cases, getting the errors, then again checking the logs, the kind of thing. So that's how it solves the use cases of data scientists. So as we move forward, common, and I know it is old, oldest world world. So as you know, one does not simply put ML models into production. It has a lot of steps. And also, this is the common thing, right? You have made the model, it is working fine. But once you put in production, users will just creating the support tickets for you. So as we go forward, there are a lot of challenges, right? Scaling ML workloads. So how you have ML workloads as you're playing the machine learning models and all, right? So you want to scale the system, so how you can do it. You can do it normally for sure, but here ML ops helps you. So how Kubernetes, so our today's talk is Kubernetes in ML, right? So let's come into the picture for the Kubernetes. Kubernetes is someone who will help with that and my friend will tell you how these things work. Under that, containerization and dependency management, so there are a lot of problems to containerize the machine learning models. It is really pain point, so that's where the challenges, it is one of the big challenge. Then one of the challenges, ML infrastructure complexity, right? So you are dealing with different type of infrastructure and it increases the dependencies, increases your cost, increases your, what we're saying, infrastructure capabilities, right? So there comes into the picture of this challenge. So there are a lot of challenges, right? Then model versioning, you are dealing with the different versions of models and reproducing it. So that is one thing. So you know, like what I'm talking about versioning, then it will come into the picture and all, right? So then data management sharing, yeah, sharing, like sharing is, as you can know, like containerization, Docker. So Docker allows to share with, so there is one kind of a popular meme, right? I guess Solomon Hayekz did that, like if it doesn't work on my container, my system, like how can I share with the manager and all. So that thing, machine learning models can also be shared. So other than that, there is a monitoring and observability. You have, so as data scientist, pain point, right? So that is one of the use case and data scientist sit for years to just play with one model. And I'm not joking, it is true. Ask any popular company in the ML, they are like, this is one of the use case. And then CI-CD for ML, you can create the pipeline and various things, right? So ML pipeline creation is really tough. So if you want to add, let's say, scalability, resiliency, and these things, then it gets a problem. So other than that security complies, you should have some machine learning model security, right? There are a lot of security issues that can be, there is also, there is no mutual TLS connections between the services you are planning in the machine learning models, right? So a lot of things are there. So this is like, you can use the Kubernetes for ML ops, but as you can see, it requires a lot of knowledge, how to scale the machine learning applications, then it requires planning, tooling, best practices. But we are not here to share the best practices and everything, right? We're just giving the picture, like how you can use the Kubernetes in ML ops and ML. So as I look forward, my co-speaker will tell you on the more things. So as of now, almost everybody in their talk has explained what Kubernetes is in a very brief manner, but in the perspective of how we can use Kubernetes in ML ops, not exactly what Kubernetes and all. So basically, we all know that Kubernetes is a container orchestration tool and we can automate the deployments, manage the deployments, scale the deployments using Kubernetes. So we all know that it's a very robust infrastructure Kubernetes provides for distributed system and it makes the best fit for ML ops to deploy ML models on Kubernetes. And it also has declarative approach. Like, we know what we want and we'll tell them and Kubernetes just does it. So moving forward, we'll talk about why exactly Kubernetes only. So basically, we've seen that Kubernetes provides a lot of features and it gives robust infrastructure and it has been booming since a lot of years. And it's known for its powerful orchestrator. So basically, why ML models should be deployed on Kubernetes is basically it gives containerization and containerization gives a consistent infrastructure for ML models to deploy. Like, it shouldn't be like we are deploying ML models on a particular container, a particular system, and we want to ship it to some another. We don't have to recreate, right? There comes containers. So that is why it, so there's no need of saying like it works in my machine and it works in my container. So yeah, and it is cloud agnostic. Like you can deploy Kubernetes on any cloud. It is cost efficient as containers. We can manage the CPU and memory for containers as they are lightweight containers. It does not take much CPU and memory. And every big cloud present in the Seco system provides managed services for Kubernetes so that we just have to go to them and tell them that we want to use Kubernetes and they'll give managed services for Kubernetes. And also, like it is resilient. Like it gives fault tolerance and everything. And we'll see more of the benefits in the next slide. So first and very important factor is scalability. We all know that whenever we want to, we hear some news or like we know there's a sale or something, we directly go to the applications and bombard it with requests and everything. At that point, Kubernetes handles the scalability. And also, like there shouldn't be always horizontal scaling or vertical scaling, right? There should be a need what exactly we should do. Should it be horizontal or should it be vertical? So basically, Kubernetes does that for us. And it has auto scaling feature which can manage the replicas, number of replicas. Maybe we want to increase or just scale it down. And also, like we can manage the resources with Kubernetes. Like there is resource limits attribute present, like how much we want to limit, how much we want to give it to. And yeah, obviously, containerization for ML models. Like if we want to port one model from one container to another, it gives you portability, right? So if your ML models are already deployed on Kubernetes and we want to port it to some different cloud, we can do it easily with the help of Kubernetes. And resiliency, yeah, it gives fault tolerance. And it comes with monitoring applications, like we can deploy monitoring tools with Kubernetes. Yeah, monitoring and observability, right? So we can deploy Prometheus, Grafana, or whatever tool we want to monitor all of the Kubernetes applications. CI, CD4, ML Ops actually means that whenever we are updating model, we will not every time go and manually deploy it to production, right? So we have to have a pipeline whenever the pipe model is updated or some modifications are done. It should automatically go to production. Security is the topmost concern, like Kubernetes comes with a lot of security options for ML models. As we know, the ML model have data, which is very valuable. So it basically gives, it comes with RBA, so it comes with port security policies. And secret management can be done with manifest. And we can use a lot of external walls within Kubernetes as well. And we've seen all of these benefits, like how Kubernetes can be used, where can be used, and so now we'll exactly see how Kubernetes can be used and executed in the Kubernetes yamls. So basically, there comes in scenario, which is affinity and anti-affinity. Affinity is basically the ability to constrain the pods to be on a particular node, to be like in a pool of nodes. Like if we want a model, for a model, we want a particular GPU. We cannot deploy all the nodes with that GPU, right? So we'll create one node only with that GPU and we'll make that pod to be deployed on that particular node only. See, it constrains the nodes that can receive a pod by matching labels of those nodes. How it does that, it does because of the labels. Like we have to put the same label on the node, which we are putting on the pod, for that pod to be on that particular node. And that is the attribute, actually, where we can use node affinity and we can give a lot of values over there. So basically, you will say it's just like node selector. What node selector does is it only allows for the labels. But in affinity, you can give a lot of extra values over there, which is very customizable. It's not limited just like node selector. And there are actually two types of affinity. I forgot to say that earlier. It's node affinity, which is like we have to give matching labels to pod and a node for pod to be on that node. And there's this interpod affinity and anti-affinity. What difference between these two are is pod affinity is between node and pods with matching labels. But pod interpod affinity is basically the pod will go onto that particular node only when the matching label of the other pods are already available over there. So there is a node. There are already a lot of pods on that node. So a particular pod will go on that node only if the label of the pod is matching to the already present pods. And you can see it also gives pod affinity and pod anti-affinity attribute if we want to put it into the Kubernetes deployment YAML file. So basically how all of this happens is whenever like 15 people are using some service, so if one person is trying to access it, the other 14 people should not wait in line. So it has to be scalable for the other 14 people to use it. That is why all of this Kubernetes and MLops can be integrated. And I'll give Mike to Rohit to tell you about the open source tools. Yeah. Are you still awake after this so much technical thing? So I know it is really technical stuff, wars and all and all. I also don't understand sometimes. But yeah, if you want to try it out, if you don't want to put a lot of efforts. So yeah, we have the open source things and cloud tools which you can use and make your life easier. So as you can see, this is the DevOps tools. Like I tweet a lot of things on Twitter. Like you can check it out if you want. But other than that, as you can see, if you want to try it out, how you can integrate the DevOps and machine learning and all, these are the tools, all the other tools to give the simpler approach. So if you want to try out the CI study, you can use the Jenkins for like just, there are a lot of examples I will give for sure. But I don't have the time. You can reach out to me any time. But if you want to set up the CI CD, yeah, there is Jenkins just connected to Git for the budgeting and return your models directly from the Docker file or something. It is easy to do. Then you have the other things like there are data pipelines you can create. There are ML flow is there. There is a Q flow is there. We are talking about Kubernetes, right? So Kubernetes thinks you can easily do it using the Q flow for the machine learning. So you can try it out. Then there is a flight is there. Ketro is there. Bento ML is there. A lot of things are there. And a lot of things are open source by them. You can try it out. And also, if you want to set up the hybrid infrastructure, if you want to set up the ISC or something, there are tools here. So you can click the picture for here, or we will share the slides for sure, right? So other than that, so it is not just about like putting the Jupyter notebook into the production and you have done the MLops, right? So there are a lot of things to do. So you need to understand how the training works or something. It is not just like you can pick one tool and do the stuff. There are a lot of things to do. So that's why I put that chat GPT announcement, right? So as we go, so I know this will again blow your mind, but try to bear me for a few seconds. So as you can see, just giving one of the example, which is Q flow. As you can see, like experimental phase is when you are doing the data cleaning, then iterating the various things into the Q flow. And then as you can see, first, if you are a machine learning engineer, if you are data scientist, you will do like identify the problem and collect analyzed data. And you data clean data, like processing and all and right. So then you have the various tools for the ML algorithm, which is TensorFlow, one of the popular. Then there is PyTorch and all, XGBoost. Like you have must heard it about. So then there is an experiment with data and model training, Jupyter Notebook you can add and you can add the code here and you can train it. So one thing is like, so Katape is something which will help you to add this Jupyter Notebook into the pipeline. And then you can integrate Katape and it will do the automation for you. So that's why, which hyperparameters to add it, which not like hyperparameter tuning is one of the worst thing if you are trained the model. When error comes, you have to go and change the hyperparameters which are in the null. You don't know which is the wrong. You just have to do the trial and error methods. And that's why Katape comes into picture, which will help you in that. Then production phase is just like once you transform the data, you train the model. And then there is a different thing to train. Then there is serving. So you have to serve your model. So then there is a KF serving which will help you. Then there is a TF serving. So they are just not, I can say, alternative or something. But they are just you can try different things. Whichever will work out for you, that is the best for you. Then monitoring you can do on anything or you will have the. So QFloat dashboard is not for monitoring. But yeah, it also gives you different things so you can try it out. So there are awesome recommendations on QFloat on GCP or QFloat on AWS. So if you are using the public cloud, I would definitely recommend you to try it out. Then this is the architecture where if you want to try out some use case. So it is just like Python code or something. Then you are putting into the pipeline. Then it just go to the Kubernetes. Do the ATCD, like there are a lot of things. But if you get the idea, here it will help you for the orchestration system which Kubernetes comes into the picture. And then also machine learning, so whatever data you get, you can play with the data and integrate it here. Also, there is a pipeline web server. It is nothing but it will help you to create the pipeline, do the stuff with pipeline. And then you can go and connect orchestration for the future things, which people talk about like GitOps and all, right? And then you can go and check the parts. Or you can see like if everything works out, then you will see the success. Or other than, you will just see like bodies re-initiating and things and things. So yeah, you can check it out. There are a lot of videos on YouTube or something. But I can make your life simpler. So these are just like opportunities if you want to go into the MLOps. But yeah, this is most important. So if you want to learn about the MLOps, if you want to try it out, and if you want to try it out, like what are the tools and all. So I have provided everything here. So as you can see, MLOps.redoMap. So this is one of the best roadmap in the world, and it's created by Indian, Ganesh or something. Then there is this one who has created nice MLOps community as well as various things you can learn it about. And there is MLOps community for sure, then DevOps, Roadmap, and all that. So go check it out. And there is use kisses also, one of the blog might mean. I guess that's all for today. I guess I didn't bore you much. But thank you for attending our talk. Thank you.


We strike, we strike, lachayum, lachayum, lachayum, we strike. Yeah. Because, the sag. Yeah, hey producers. We're both in sag. Hey, producers. Hey, all you producers.  We strike! And midnight! It was actually like 1 AM or something. Yeah. It's not a sign of, well, it'll be official by the time you see this. But as we sit here, we're about three hours away from them dropping the bomb that deserves to be dropped.  What do you say? That it's what the writers and the actors are asking for is unrealistic.   They literally aren't. Yeah, how's a 2% increase in wages unrealistic for the writers, Bob? And if you're going to say it's unrealistic, Bob. Show everybody what's on paper. Bob. Yeah, what are you getting paid, buddy? Yeah, Bob. Are you an artist? But what are you making off of the artist, Bob? Yeah, anyways. Today, we're doing a watch-along. Goranga, Goranga, followed by a trrrrr. Yes. What was that? Goranga, Goranga. No idea. But we are doing a watch-along of our first Malayalam film. Hey!  And this is called, it's called Jaya, Jaya, Jaya, Jaya Hey. Wow. Jaya, Jaya, Jaya, Jaya Hey. Which means strike, strike, strike, strike, strike, strike. Hey. I think Jaya is the female's name in this. So what I know about this is that, and it's going to sound funny. Is that it's a movie? Yes. OK. It's a comedic, kind of like Great Indian Kitchen. OK. But they get their point across in a more comedic way. OK. So they use comedy as more of a vessel to hit home. Hit home with a strong message. So they say it's a deep subject. Right. That they're making, that put a light little thing on. Profundity through the venue of frivolity. Which is funny to do this a watch on. I asked multiple people. I said, is this good for a watch along? And they said, yes. And I'm saying, OK. So we'll figure out what's going on here. We trust you. I think the lead, the female, is from See You Soon. We've seen her there. OK. And then a couple of people we do know as well. It came out in last year. OK. So it's another film from last year, from Ali Alam that we missed. Wow. We got, recommended this a lot. When you consider the output of Indian cinema, it's not a shock that we can't watch every movie. Who knows how this one ends, if I really like this. But if this one ends like the other two, Mali Alam that came out last year, my list would have changed dramatically for my top films of last year. Because I had one, maybe, Mali Alam film, and I think it was Fafaz. And I'd probably put those other two even above Fafaz film in terms of my favorites of last year. Mali Alam, they are consistently elevative, man. Yeah. Anyways, so if you're watching this on YouTube, you know how this goes. Yeah. It'll be a very cut up reaction, three partish. We call it super circumcised. It'll be very cut up, five to 10 minutes of very cut up footage, so if you'd like to see the full uncut versions, you can head over to Patreon to check out the full uncut, uncircumcised versions of our watch along. I'll put the link in the description below in the pinned comment. Is it a sausage link? Yes. Great. Let's just get into this. That's a cool intro. I like it. Don't touch anything. Never liked that sound. Opening of doors? No, school bells. Super duper. I like that. Yeah, the sound of school bells ringing. Children laughing. PTSD. That's lovely opening shots. She's doing all the work. He's already asleep. This one's going to make me mad. Yeah, all ready. The ladies are up and at it. The guys are on their derriers. They go to a job. What is it? Is that like coal? Or what? It must be like a coal. Must be like a nut of something? Yeah. Cashew, right? I didn't know that. Nice differentiation between the women chopping on the dirty dark floor versus the young girl frolicking too. Who's done them? I'm already interested in the score. Might already. Might tell you. Subtle stuff already, man. Right? Boys can climb trees, girls can't. The immediate imposition of sexual identity based on culture. Girls don't climb trees, boys do. Look at that. That shot was great. The faces were all staggered clearly. Oh, OK. They're adding a little bit to each thing. Interesting. It's important to her. Also, let her eat. Excuse me?  Oh, boy. Yeah. I'm throwing hands.  Got me triggered. It's right. No, man. How did she get so many marks and pass out? How can we all be deciding her future for her? How about she goes where she wants? Ask her what she wants.  Say something, girl. Do it. Wow. Wow. Good for you.  I don't say it going well for you, unfortunately. Yeah. Today, we start our journey to be a Malayala. So, all the very best. You. You. Thank you. You play a good John Candy, Indian John Candy. She's like, no handsome. She's like, no handsome. She's like, no handsome. She's like, no handsome. She's like, no handsome. Something tells me if they turn out to be together, he's going to be like the opposite of what he's saying.  Maybe don't. Maybe don't. She should just not do that. I'm really enjoying her in this already. Yeah, she's great. How can you say yes, the men make the decisions in your house? The phone was busy. Don't talk to anyone. That's right. I think the music will be good. I think so. I've told you many times. That's why I'm talking to you. Yeah. That's a little friendship. Doesn't practice what he preaches, I suppose. Hippocrates. It's easy to talk. Run, honey, run. Yeah, you haven't married him yet.  Why are you looking for a company? Run, Elizo, run. Yeah, don't entertain this guy. Good grief. Oh, my word. Don't you hit her.  They haven't married yet, have they? I don't know. But even if they did, you know. No. I'm waiting for the comedy. I'm waiting for the comedy. I'm waiting for the comedy. You've lived like this for so long. Now listen to what we say. Sure she's lived the way she's wanted to. If you like a lucky family, you can agree to her marriage. I'll bring you a wife like your brother. What's that voice? It sounds like it's going through puberty. It's never good when you see a guy twiddling with his mustache. You can always tell he's like that. That's SPB saying I'm pretty sure. Nope. Or you suit us. We should go for a good trip. I'm not sure if there's a lot to take pictures of. I'm not sure. I hope so. God forbid her skin is dark. It's better than having a baby. This is the girl from Russia. She's a girl from Russia. She's a girl from Russia. She's a girl from Russia. She's a girl from Russia. Have you ever watched any episodes of Indian matchmaking? No. It's this. That's it. She's making the tea. Meanwhile, the prisoner is... Yes, because niceness has to do with education level. I want to get married and study. Revolutionary.  I'm so glad they decided that for her. Do they judge the tea? If she can't make a tea, do they not like her? Could be. A lot of humor is situational. What's the price of chicken in this neighborhood?  It's a great opening line. It is a great line. Still, what is it? I need to know. This too, Indian matchmaking, it's painful to watch people try to start conversations, particularly the guys. All my stars. Their inability to socialize is painful. For the majority of the guys talking to the girls. You want to talk about anything other than chicken? Oh, yeah. We'll talk about ducks. She's really into poultry. Ask something about her. Such deep conversations, Ed. You guys don't need to talk now. You've got the rest of your lives to talk. I'm really liking the score behind this film. Very much. I like that camera angle on her. And the lens choice there too.  This is warped. And again, the lens choice. It's saying this is warped. That's what I like. I'm using it. It's awesome. It's awesome.  Running over it. Oh, nice. This is baby-making music right here. This is definitely going on the workout playlist. Nice ending. Ooh, what's that? That's lives of Beverly Hills. Yeah, everything about this is excellent. Everybody's great. I believe everybody. Ooh, that's an intimidating man. That was not reversed. Oh, I'm digging the score. Me too. I'm digging the score. Uh-oh. Nice. It's not what he gets every day. Who wants to eat the same thing? Poor girl. She definitely didn't have to learn a lot of lines. They're not letting her speak.  He was raised. Yep. That's what he saw modeled for him. Yep. But that's what a real man does. No. Has nothing to do with the serials. Let's see. I have my doubts about this. Yep. Wow. Don't hit her, mother. You.  I want to see one of these guys get their head busted in. Well, have fun not eating anything. Wow.  Yeah. You. Not hit. Yeah. People never hit a woman ever. Respect her. Not being at. Oh, look at those jackfords.  The matter is settled.  This doesn't make up for it. You don't ask. Yeah, no chicken, motherfucker. Get the beef. Yeah, good.  Happy evening. Wow. That makes up for it. I don't believe it. Yeah, exactly. Thank you. Exactly. Well done. He does this every time he hits her. Make up for it. Same pattern every time. He slapped you only once. Not in public. Don't make a big deal about it. Somebody slaps one of my daughters once. They don't ever do it again. Once again, though. The score is great. Wonderful. Yeah, everything about this so far is top notch.     Yep, exactly. Please hit him back. Closed fist in the mouth. If you're in an abusive relationship, leave it. No matter what anybody says to you. If your spouse is hitting you, leave.  Including your mom and dad. Yeah. I heard one of my... Good grief.  Can you imagine? One time. One time. They would get away with that. I already have anger issues. That would be able to control myself. Yeah. Show us how good the movie is.  I feel like we've seen her in something other than see you soon as well. I just can't remember what it was. But she's doing a phenomenal job. Great job. Everybody is. Yeah, the whole cast is great. The husband as well, I believe him. Yeah. He's doing a great job.  But he's doing a great job. You should have been up greeting him, worshiping him. And you know, that would be the end of our part one reaction to Jaya. Jaya. Jaya. Jaya. Hey. Is it parted on the left or the right? The middle. Great. And that would be the, I hope you enjoyed that part one. If you'd like to see the full uncut, uncircumcised versions of our reaction, you can have it on Patreon. Patreon. Obviously we've already watched the entire film by the time you're seeing this on YouTube. So it's already up there. If you'd like to go check that out, put the link in the description below in the pinned comment. And on to part two.


And the Minister of Information and National Orientation, Mohammed Idris, has praised the Independent Petroleum Marketers Association of Nigeria for its efforts in championing green energy introduced by the federal government after President Boilatineba removed the fuel subsidy. Idris said the federal government aims to reduce transportation costs by over 50% through the CNG initiative. The minister said the removal of the fuel subsidy presented an opportunity for organisations like Ireland to shape Nigeria's energy landscape. Energy initiative, in other words, the federal government's investment in the CNG project. In the wake of the removal of the fuel subsidy, of course, it was expected that the price of PMS will go up. This will in turn affect the price of the transport costs for Nigerians going to and through their boroughs places of work. The federal government immediately thought it was wise. In addition to other measures introduced the CNG. The CNG is expected to bring down the cost of transportation by more than 50%. And I'm happy that ITMAN is in the forefront in this fangat of achieving the CNG initiative. I will call on you to continue to partner and to support President Boilatineba in this direction.


And we are live! Hey, back to the primitive. Hey, what is going to be for today? I don't know what is going to be for today. You will help me decide what is going to be for today. That's at least a general idea. Hey, leafy. Summon the cum. Hi, Jimmer Jammer. Jimmer Jam Crate. I always say Jimmer Jammer. Do I know what is going to be for today? Yes. Hey, sir. Can I draw a fairy? Perhaps. Hi. Do I, John? I am here to what I miss. Nothing. Draw a terror. No. Hey, hey. How are you feeling? Me, me, me, me. Me, me, me, me. That's how I am feeling. Hello, Mona. Got to say that I won't be able to watch the whole live today, but I will watch as long as I can. Yes. And the lives will be up in the archive as well. Of course. So, let me just start. Dujan. I don't know what that is. Leviathan. What languages do you speak, sir? Norwegian, English, and I am trying to learn Spanish. Draw a little guy called me, me, me, me, me, me. That I can perhaps do. We'll see. We'll see. First, I have to try to pay the bills because I make a living out of this. Free art that you can download and you can copy and print and even sell is what I make a living from. So, we got a couple of things to say. First of all, you can become a YouTube member and get cool green letters in your name. And also, I will soon be releasing some longer videos and they will be available for early access for those who are members. Otherwise, you can support by supporting on patreon.com slash Kim Holm. Or you can go to den unge her Holm, where I just uploaded. Go to den unge her Holm. Go to den unge her Holm.com where I just uploaded the inktober is pinktober art 31 pieces. And they're all our cheapest pieces. So for all of November, the inktober or pinktober art will be sold for, I think it's $139 each, which is quite a lot cheaper than most of our original.   Not too long ago, I told the professor about what the club did. They wrote a board and made fun of him.  Long time fan joining from San Francisco Bay Area.   But yes, this drawing was specifically for the Americans. And probably I will release the video for it, which is done tomorrow. Today I did a video that was not political and just as I thought it doesn't seem to be doing great because the algorithm is probably pushing it out to all the people that are arguing and bickering and quarreling and fighting on my Palestine videos and on my Jordan Peterson videos. And on my Lucifer videos still. So probably the algorithm doesn't know what to do with today's video, but that's okay. Tour of your workspace. Oh no, you wouldn't want that. This is the mess I work in. Don't tell anyone. You rightist or leftist. Anarchist. So leftist, but not leftist in the sense of mainstream politics. Organized chaos. Not so much. I mean, of all the things I wish I learned from Jordan Peterson, cleaning my room would be number one. Oh, right. Me. The hand you are using to write. I'm left handed. Thank you, Leafy, for sending me 35 SAR. We put on a 1.1 meter puff adder snake skin in our storeroom. Can you do something snake themed? Yes, I can do something snake themed. How shall we approach something snake themed? Okay, let us. Let us snake it up. How do we snake it up? Lefty politically and hand-wise. Snake metaphorically. Well, we could, but I just want to draw a snake. Is that too much to ask? So it was left handed, but taught in school to be right handed. And that isn't, that used to be extremely common. Let's do more of a dragon than a snake. And then the legend here in South Africa is of the Grootslang. It's an elephant snake combo. How would you interpret it? I need to research that. So right now I would love to do Quetzalcoatl again. Quetzalcoatl again. But I would love to do the Grootslang. But I need to research those things in order not to mess it up. Okay, so I'm probably not going to do any of that. I'm probably just going to do a snake-em-a-thing. Ooh, we have a visitor. Do you want to be on camera? We have a visitor. We have a very exclusive visitor today. It is Mando the Mandolin. This is the way. What do you have? Do you have any questions for the Mandalorian chat? Who says the chat? So what is your favourite direction to walk in? This is the way. What are you expecting? Mando, is your aim good? Better than Stormtroopers. It is, but that's not saying much. Better than the galaxy. Okay, so Mando, we are going to draw a snake. Are you going to join us? No, I have to get my baby. I have to get your baby Yoda. Get your baby. And Mando is gone. Mando disappeared of the face of the earth. Yeah, he was so ashamed of the later seasons. Oh, no, no, no. Mando is back and he brought his friend. Baby Yoda. Baby Yoda. Baby Yoda. Made out of cardboard. Baby Yoda. Baby Yoda. Baby Yoda. Made out of cardboard. Baby Yoda. It's not made out of cardboard. It's completely real. It's made out of the force. May the force be forceful. No, that sounds wrong. Ah, that's what it is. Kim needs a theme song. Do I need a theme song? Yes, I have a theme song for you. You have a theme song for me, Mando? Yes. Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob. Bob, Bob. Bob, Bob, Bob, Bob. Bob, Bob. So, just a small question. Maybe that's a better theme song for someone like Bob. No, thank you. Okay, well, that's my new theme song. How did it go again? Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob, Bob. Bob, Bob, Bob. BUB-BUB-BUB-BUB-BUB-BUB-BUB-BUB! Boob! BUB-BUB-BUB-BUB-BUB-BUB-BUB-BUB-BUB-BUB-BUB-BUB-BUB-BUB-BUB! Ok, I am starting to find the theme song more and more annoying. It's kinda hard to breathe in that thing. Yes. Seal it's the real adventure of Johnny Quest theme. I don't remember how that was. The real adventure. I remember Johnny Quest. When did you get an orchestra? But will you... Baby Yoda! Baby Yoda! Interrupting dreams baby Yoda! How old is your house? It seems like a more traditional building style. Yeah, the house is from... What was it? 1920? 1930 something. Yeah. Yep. So it's not terribly old. Name a car for an edit. A car? That's your job, Esteban. The Mando, I mean. Kia Soul. Kia Soul, yes. Kia Soul. The one with a terrible drive in your range. This set is officially a Jojo's Bissar adventure reference. Have you ever or do you currently play an instrument? I play a little bit of guitar and I write some songs and I sing a little bit. You can hear that in my travelling companion video. And also when I came down to you, we were saying ba, ba, ba. Yeah, so Esteban sings two... No, Mando sings two. Sorry, I'm sorry. This is the way. But do you play any instruments, Esteban? No. But you have some instruments that you don't play? Yes.  No, I have wait a little space in there already. I have way too much space in my space ship. Yes, yes. In my racer crest. In your racer crest, yes. So I have really much space because it's in space. Yes. So, we're surrounded by all the Jojo fans. I haven't seen or played Jojo's Bissar adventure. Is Jojo's a Bissar adventure game? I think there are some Jojo games that I haven't seen or played. I think there are some Jojo games that I haven't seen or played. I think there are some Jojo games or maybe it's just something announced a bit. Is that Sheenon the dragon from Dragon Ball C? No, because I can't draw copyrighted dragons. Because I release all my art for free use. So you can, when I'm done with this and it's scanned, you can download it and you can copy it and you can use it in your video game. It's a basilisk. Maybe we'll see it's something snake-like. Like a snake. Now I'm giving it feathers. It's probably a dragon. Someone said, or Leafy, I think said draw a... Rick Woose Brain. Woose Brain, yeah, that's my favorite name. This was a good drawing. Yeah, I was with you on that. Woose Brain, you was with me. Me and Sirius. Yeah, that was seriously hard. Maybe a worm. Yeah, so I've talked a lot about this. But the word for dragon in almost any language means snake. And the dragon that we imagine with four legs and wings is more of a medieval invention. There are some examples before, but it got popularized in medieval Europe. But other earlier dragons with many heads and fire breathing and poison breathing, they were all snakes. So Python, not in Monty, but in Greek mythology is a dragon. Hydra is a dragon. C++ also a dragon and Java. C++. Oh, programming jokes. My Mando comes here and outgeeks me with his programming jokes. A Python joke. A C++ joke. You know which grade I give your joke? C++. No, C-. I have to go now. I have to take my spaceship and fly the Coruscant to collect the bounty. You have to go now because you have to fly to a legally distinct planet from Coruscant so you're not sued for copyright violation. Yeah, I have to fly to Coruscant. By Esteban Sasmuna. Farewell, Mando. Esteban doesn't exist. It's only Mando. Only Mando exists. Baby Yoda. Baby Yoda. Leaving this life now, baby Yoda. This is the way out of this life. This is the way. Okay, so loads of people in the chat now. So remember if you want cool green text like Mona then become a member and that will help me and my team make more content for free and also art for free use. Art that you can use for whatever. Again, Lampton Worm would be great. It involves a spike knight and a worm that wraps around a hill seven times trying to wrap around John but is cut apart by John's armor. This sounds absolutely fascinating and I've heard about it before. And again, on these lives now if I happen to draw something that is that I already know then sometimes I give them mythological names. But if it's something I have to research then I I'd rather not give it a mythological name. Because we have and it's not that I haven't done so before but we have, you know, so many versions of myth that has nothing to do with the myth. It's just a name tagged onto something and I prefer to do things that are, if they're based on mythology they are truly based on mythology at least a bit. And then if I should change something about a mythological creature then then I prefer that change to be to be deliberate. What's your favorite mythological monsters? That's a good one. To draw or just in general. Love you. Thank you. Both. Okay, so it's really hard when you're put on the spot like this. I should make some common question lists that I have replies to because my replies now might be boring. So to draw I mean trolls are magnificent to draw but they're more fairy tale monsters or folklore monsters than mythological. And there is a difference. Does the difference really matter? Not always. Are trolls also present in mythology? Yes. But the trolls as we see them and as I know them are more of the folklore variety although there are a ton of myths and sagna about Norwegian kings and the trolls they battled. But drawing trolls is one of the most fun things. So I guess I'd have to save that. And speaking of and answering more of my favorite mythological monster. At least right now I'm fascinated with Tiamat. Tiamat and Abzu are the saltwater and freshwater dragons of ancient Sumerian and Babylonian mythologies. And the gods make a lot of noise which annoys Abzu. So Abzu plans to or is allegedly planning to murder the gods because of their noise. But the gods find out and they murder Abzu before he can attack them. Then Tiamat is given over to grief and rage because her lover, her husband is murdered. And she spawns, she births all the monsters, all the scorpion men and the dragons and the manticoring up mythologies. Yes I'm talking about the Enema Elish which is a fantastic fascinating origin or Genesis mythology. Anyway it had influence or similarities with parts of the Judeo-Christian mythology. It may draw a validance end. Probably not on this stream Papprap. Thank you so much for the super chat and that is so appreciated. But the end of the world might be too big for today. But let's go back to the beginning of the world because Tiamat birth all the monsters and the monsters fight or wage a war against the gods to avenge. They're dead father. It would probably be the father if he had lived. I'm not sure about that part but we will say father. And the gods don't really stand a chance of winning until the god Maddu comes along and wears a helmet with ice all around the helmet so we can see everything. It's an all-seeing god and he manages to slay Tiamat and then both of the primordial dragons that created the world are dead. So that is I like Fing Fang Fum. I like Fing Fang Fum too. That is a nice dragon. Nice monster story. I mean out of things that I've drawn that I want to draw again the Mananangal has been on my mind recently from Filipino mythology and I would absolutely love to do that one again. It's one of the freakiest monsters I've ever heard about. Is bro live streaming a short? Yes. YouTube is pushing trying to make short live streaming a thing. So whenever I don't know if this is because my YouTube short presence is so incredibly much larger than my YouTube long presence. But every time I go to stream it defaults to YouTube short streaming and recommends it. Typhon is very underrated. Typhon is absolutely fascinating. It is one of the most grotesque descriptions in Greek mythology. But I don't remember all of it. I just remember being absolutely fascinated last time I read up on Typhon. Super cool man you just popped through a short. The first time I've seen it. Amazing. Amazing work. I was really confused because I thought Manchester United had popped through a short. What is Manchester United watching my stream? Never! This family is a Liverpool family. Karybdis is great. Hello Kermito. Great to see you. Another person with that fancy green text, green name that you can get for supporting or becoming a member of the YouTube channel. Which is much much appreciated. I love writing. I finished one book and working on the second one. It has dragons in it and I need a name for a male dragon. Light grey with large red markings. What's a good name for a light grey? Tuftifallpalkullub for life. Do you have a preferred online source for researching any old mythologies? Have you ever tried Karybdis? I have, but I'm not sure. I should do another Karybdis one day because I've drawn Skilla and Karybdis, but it's a long time ago. Also, Liverpool is a dreadful place like Manchester. Never been to either place. I love Kim telling myth stories. Never stop. Thank you so much, Sleefy. Thank you so much. I really appreciate the super chats. The Mananangal has been on my mind lately because I got all these requests to do it and I've done it a long time ago and it got censored off of TikTok. Instantly you can still find it on YouTube Shorts. But yeah, I really want to do that again. What is your favorite brush? So the brushes I'm using now are not high priced. They're good. But this is an Alf Bjerke. It is synthetic. Let me see. I believe this is synthetic and it's not awfully expensive. But you know, I absolutely love more expensive brushes. I'm a comic book person, comic book guy. So I have a long relationship with Windsor and Newton Series 7 brush. I also like Chinese and Japanese style brushes. And my all-time favorite brush is the Pentel color brush, which is not refillable, but cartridge pen brush. That is amazing. You have this actual skill to follow you for streaming? No.  So I need to do that. You have a new sub. Thank you. And this is very important. If you are broke and want to support, you don't need to support with money. You can support by downloading my art and using it. You can use it as your phone background. You can use it. You can print it and send it to your great grandmother. You can make t-shirts of it and sell them. And that is supporting me, art. All my art is available for free use. So if you don't have the money to support, don't feel bad. If you want to support, you can do it just by using my art. Hanging it up on your wall. I used to paint models. Honestly, price brushes are fine for most. Fancy brushes are not worth it. For me, fancy brushes could absolutely be worth it. But I prefer to... This is maybe $7 to $12 brush, so it's not terribly expensive. If this was a Winsor & Newton series 7, it would be a $50 brush. And then I would hesitate to use it like this. Because that's going to impair the life of the brush. So, can I commission a dibbook fighting a man and an angel? Yes, you can. Contact post, post at den ungeherholm.com and Christopher will get back to you with prices and stuff like that. My commission schedule is pretty booked for a while. But you can contact us. I have Moet Horst brush. My late grandfather gave me... I can't bring myself in using it because I'm afraid of breaking it. But for most people, Moet Horst brushes are more than... Or what is it? Sable brushes. Kolinsky brushes, is what it's called, they're more than solid enough to not be destroyed by use. So the important thing is to rinse it properly after use and not try to dip it all the way so that you don't get a lot of ink or paint up here. And then also to once in a while wash it with shampoo and conditioner. And then a Winsor Newton or any good Kolinsky sable hair brush can last you for years. Hello! I usually do strokes like that one as a detail stage of my paintings. But I separated the brushes I use for that. So the smart thing would be to use a different brush for the dry brushing and the broken line work. But I don't know what it is with me.  I really like the challenge of going on the spot. I think that's a cool challenge. I love it. And also when the brush starts breaking apart and the hairs start becoming impossible to join together again like on this brush then I actually like the challenge of figuring out how to work with this broken brush and produce. Like can I use one of these strands and just use that one strand and get a really subtle line and I can. So I think that challenge is fun. Let's see what Leafy writes. We figure art prompts but would love to hear a prompt from you for us. What does art king Kim want me to sculpt next? Oh sculpture! What do I want you to sculpt next? I'm nervous. I don't want to say the wrong thing. You are from South Africa, right? So sculpt the grout slang. So I have an idea of how to draw it myself. This two copper are so... No, wrong answer. Oh, was it the wrong answer? I'm sorry. No, my day is ruined. Not the wrong answer.  Wait, they have live shorts now? Yes. They're trying to combat the tic-tac-toc. Your art is absolutely great. Stumbled upon your channel. And I'm absolutely amazed by the stuff you do. I'll make sure to subscribe. Yes, do that. Subscribe. And click the bell icon and all that jazz. Gonna do some errands. So bye-bye. Thank you for being a part of the stream. It is so fun when I'm starting to recognize more and more names and faces, not faces. How did I only come across live shorts now? Good art, by the way. Thank you. I think live shorts isn't terribly old. I think they're... I mean, I don't remember last time I streamed before this session of streams in October. I think the last time before that was this spring or maybe late winter. And then it was nothing. It wasn't any... Would you like to stream in the short format?  No! Because it is a dragon. This dragon will be made available for free use so that you can download it. Let's give it a drag and tail. That is funny. So you can download it. You can copy it. You can sell it. As long as you... You can change it. As long as you use my name, you can do whatever you want with it. So I can't do Rick. I can't do Morty. I can't do any copyrighted character because that would be very, very, very illegal. Copyright content is the devil's art. If you haven't noticed, I'm a huge nerd and fan of so many things. I'm a fan of so many comics and films and games and all that stuff. And I would love to live in a world where I could draw that. But I'm not going to profit of others... While advocating for a total copyright reform, I'm not going to try to profit of other people's work, which is... I would love to profit of other people's work like people can profit of my work, but it has to be legal. And we need a system that defends artists' right to freedom of speech because this is speech. And then we need to also figure out systems that can give monetary incentives for creating art. And copyright isn't a good monetary incentive for making art. I mean, no artist says, you know, I would like to create a new comic book, but the copyright limit is only 50 years after my death. So what's the point, really? If it was 75 years after my death, then I would make art. That doesn't make sense. It's not a good incentive. Well, let's celebrate their 20th super on the live stream. Thanks for the prompt, Kim. Myth in South Africa of mermaids... Myth in South Africa of mermaids in the Karoo desert, in pools in the mountains, under a flood, watch them to the sea. That sounds fascinating. Oh, it is Rowan. Rowan. Okay. So we'll add a few splatters. Then after this one, maybe we'll do another short stream. Kim. Comrade Kim. Yeah. This is InkMonster number 1,435. So we say it's Python. Yeah, we can say Python. I said I wouldn't take a name from Myth, but I did. No, I missed an hour. Oh, no. Sorry just for fun. And if you want to be cool just for fun and have that green font in your name, then become a member and support that way. Fluffy Python. It's a Python, but it's also Java. That's your one hour late for the programming language jokes. I got that green. Oh, in your name. Never mind.  Hellblade, Sanoha Sacrifice is one of my favorite games of all time, but I've only played it through once. I do want to play it once again before it is out or before the sequel is out. But it's a magnificent game. So good. If you like boring walking simulators with clunky combat, then it's perfect. Do you selling art? Yes, you can go to then. There you can buy prints, you can buy merch, you can buy originals. And you can also buy all the Pinktober art that I did last month.  I'll have a look, yeah. So the Pinktober prices are $139 per, while most of the other art is from $300 to $500 someplace. When is the next stream? I don't know. I am bad at planning things, but I am going to I'm going to get a schedule up and have at least one or two streams per week, I think. Does the nail color relate to your mood? Not necessarily. Okay, shall we do one more quick ink monster? I'll do a random one and you'll decide what you see in that ink plot and we'll go for there. I'll pick a color this one I haven't used in a while. Nice color. Pink! Yeah, all last month I did daily streams where I drew pink drawings. Okay, what do you see in this ink plot? It's time making it to a live stream. Looks like a wing. It could be a wing, yes. A footprint. It could be a footprint. Face looking right and down. Yes, I see that one. Ooh, I like that one. Carnivorous plant. Hmm. Okay, let's do the face looking down. So that is not going to be a short and silly drawing, but I see it so clearly that I'm you can make it short and silly. Magma face. Yeah, it could be. Let's do that. Let's make it grittier. How long have you been doing art? Always. So people I see your question I'll answer that afterwards. I'll just I always talk about when I started with art on my streams so you can find that answer other places and I should probably make some shorts and some longs about that subject because people are interested. Have you ever accidentally destroyed art?  All the time. All the goddamn time. Norway is like super progressive. No, I mean there are some progressive elements here. There are some very right-wing or Italian elements here. I live in a neighborhood that is a little bit outside of town and it's a very it's a very white and straight and cis neighborhood but it's also full of nice people and it's a good atmosphere here. I like the idea of this being sort of a spirit or someone commented about that. So there are a few things in Norway that are more progressive than a lot of other places but there are very conservative streaks as well and I think the sad truth is that even the most progressive countries, places on earth are still not nearly progressive enough because you can't really be that within capitalism. Capitalism requires differences economically and in power between people. It requires classes. It requires some people being more worth than other people and that will always create the groundwork for hatred and for bigotry and for conflict and that isn't just like one way in both ways. Janteloven is the worst part of Norway. Yes, Janteloven but we don't have that much Janteloven anymore I think. Do we? Well Janteloven used to be this sort of mindset rule in Norway that says you shouldn't think that you are somebody that you are special and it lives in news from maybe it certainly does live to some extent but we also have the whole influencer culture that is really taken off in Norway is very much the Janteloven Denmark is pretty Janteloven so the Janteloven is not the actual law it's just a sort of a description of a philosophy Jantelagen maybe this drawing should be about Janteloven I'm generally a left-wing anarchist where of some consider this counter itself but I don't think that's the case I think in Norway I'm an anarchist I don't really have that much of a problem with our royal family because the function symbolically they're not as awful as other places so I don't think it's not that I'm for the monarchy there are other things I'm much more against our king is nice do you guys actually have good community spirit despite being introverted non-nationalistic not collectivistic as the legends go yeah it depends it depends I'm not the greatest person to ask about good community because I'm not a good I'm not a good communist I am not a good community person I am introverted I have some social anxiety and I I'm not the best person to ask about that South Africa has good laws regarding LGBT but it's terribly employed and people are stubborn we have good we have good laws regarding LGBT there are some problems with um for trans people here that are not still are still not getting the proper care they should how long do you draw a day so today I haven't drawn before this so so I mean one hour I don't draw as much as I used to because I have another focus right now I always consider myself more of a writer of a storyteller than an artist so I spend more time thinking about the stories in the scripts that I write for my youtube shorts actually on the art but that being said the reason why I've gotten whatever skill I have is because around the age of 27 I saw that people I had deemed as less talented than me or have just written off because they are not great artists like me were quickly getting better than me I had to realize that I had to not only practice to become as good as I wanted but to practice more than others and for a lot of years I would say that I probably practiced more and better better than most others what's your opinion on Kvarnalan's recent book Shigir I haven't read the last few books from Stefan Kvarnalan Stefan Kvarnalan is a huge influence on me I loved his Olaf Geh book and I loved his monk book and I and I loved his old adoption of Edgar Allen Poe's the black cat I loved Ticke the conductor and I grew up his art and then I met him in my teens and we aren't like close friends or anything but we know who each other are and have a mutual respect and our Facebook friends that's the, so we're real friends real friends on Facebook so he is still an absolute hero for me and absolute inspiration and I'm so damned jealous is the word when he posts some of his sketches on on Facebook and I just I want to be that good that's one of my prime ways of getting better is that I want to be that good and Stefan art is comparable enough to mine it's close enough to mine that it really hurts when I see him being able to do things that I'm not able to do even though he is a huge influence it still hurts to not be as good at exactly the stuff that he's good at even though I'm probably there are things that I'm good at that he isn't good at yeah but that's I don't know it is that's how I work it hurts good you always living up, yes still freaks me out how similar our signature or I don't know what that means make a soldier next time hello Lenny dragonfan like workout good yes so I'll make this an ink monster as well and name it the not the yanta love the yanta spirit I like this one I like the molten volcano colors of this thank you but this we're going to do it now comes the scary part because I've already signed it I thought I was happy with it but this is potentially something that means something more so I want to put an ENSO one of those circles on it and the rules for those ENSOs in my book in my spiritual belief in my atheistic spiritual belief is that if the ENSO works then the gods accept the drawing the cosmos accepts the chance accepts the drawing if the ENSO doesn't work I have to tear up the drawing I have drawings on the floor here torn up 20 bucks if you smash it now I'm just offended now so if I manage this circle the gods have accepted I think the gods accepted it oh my heart for a bit I like that one hallelujah where are the last drawings I ripped up yeah it was here it was one of the Palestine drawings didn't work so I had to rip it off rip it off, rip it up I actually had to rip up two Palestine drawings this one worked and this one worked and this one worked now we have to start ending the live it's a demon chasing the kid maybe it is, maybe it is it's up to you don't look like a kid okay we have to end the live but before I go I have to tell you that the cool green letters that Leafy and Just for Fun has in their names is because they are members if you like my art and you want to support so that me and my team can make more videos, better videos more art better art, cooler projects all that jazz then becoming a member of the youtube channel is a great way of doing that Moona also representing those lovely green letters what would you recommend to someone who is struggling to draw every day because of their day job I would recommend lowering your ambitions find something like my daily ink monster exercise that something that doesn't have to take more than five minutes and where even if the results are awful and ugly and silly you can be satisfied with it and then do that daily and then once in a while you'll do more than that that will keep the hand warm for those periods where you actually have more time to draw I can't afford that I've had to spend thousands on my family I don't feel bad about it you shouldn't feel bad about it if you don't have the money to support you can support by downloading my art by using it by giving it to your family so printing one of my artworks or just sending it on email printing it, giving it to your family is supporting me even if I don't get a dime or even if you use it of my art that is supporting me I release all my art under a creative commons attribution license so you can use it however you want as long as you attribute to me as long as you write my name hi gang ten minutes is enough ten minutes is more than enough if you can ten minutes can be hard to find so do something that can take two minutes that can take five minutes because once in a while you'll fail at that and you'll have to do it again and then it'll take ten minutes but if you fail at something that takes ten minutes then it'll take twenty or thirty days is catching strands for no reason you're a rose in a field of daisies I don't know what that means I like roses, I like daisies I take ten minutes to set up so fine then I'd recommend finding something that easier to set up that's why something like the pencil curler brush was brilliant for me in learning how to draw and it's still brilliant for me today because I can have it in a pocket and I can have it works on most any paper I can draw whenever hope you're doing well, thank you I really like your work greetings from Italy ok lower the bar for daily practice the most essential thing is to lower the bar lower the bar so it's remove all the things psychologically or physically that makes it hard and do something that's super easy draw one ballpoint drawing on a post-it everyday and hang them on your wall and see how that goes ok now I feel I'm running out of steam here it's been a long day hope you're feeling better it's a tough period but it's I can say that if you've seen my video about quarrelling online and stuff like that it is I'm definitely not doing myself any favors quarrelling online but it is a good way to comment and find ideas for videos stuff like that but the thing is that even if I started posting those political videos that I do post now in a in a good period that wouldn't be a huge problem but since I had Covid and that Covid led me straight into something depression like then choosing to post those political videos right now and to argue with all sorts of people was not a great idea but I'm doing ok I'm I think I'm done with most of the arguing and I still have a handful of political videos to post that will piss off a lot of people but you know I'm it's one of the funny things about it now I'm sort of known by a lot of people as the Jordan Peterson hater but all my heroes are conservative are right-wing I mean Frank Miller is my absolute artistic hero and HP Lovecraft and I listen to black metal and other metal I'm my I'm full of right-wing conservative influences and I've always picked out people on the right-wing that I dive deep into and that I really enjoy and like and that's how I started reading and watching a lot of Jordan Peterson stuff he was my right-wing darling for a while and because I have a lot of points I agree with him on not the political points but a lot of other points I agree with him on and it's just that I read so much of him and started checking the facts that I saw that was a really really bad pattern there he is much further to the right than he says and admits but my point my point with this is one fundamental thing I agree with him on and that he doesn't quite practice himself or he does maybe yeah he does practice himself but that is that speaking is and also speaking through art is a form of thinking speaking and drawing is an extension of thinking and one of the reasons you speak things out into the public into a conversation or even just down on the paper to yourself is because you're checking to see if it can take resistance and if it still rings true and I think that's very important so yeah I am re-reading Lovecraft's work thank you to your pieces excellent I have to go now go to if you want merch become a member if you have money for that go to patreon.com if you have money for that and finally use my art thank you all it's been so much fun bye bye


One of the reasons for taking a course called pre-calculus is to prepare you to take a course called calculus. And one of the important ideas you'll need in calculus is based on something called the difference quotient. And the difference quotient has a simple definition. Let f of x be a function of x. The difference quotient is f of x plus h minus f of x. There's our difference over h. And there's our quotient. And remember, definitions are the whole of mathematics. All else is commentary. At this point, you know everything you need to know about finding a difference quotient, and the only task ahead is actually finding it. And, fair warning, that's mostly algebra. From this point forward, we're going to be doing lots and lots and lots and lots and lots and lots of rather tedious algebra, all motivated by this central concept of a difference quotient. So, let f of x be x squared minus 3x plus 5. We'll find the difference quotient. Again, definitions are the whole of mathematics. So, let's pull in our definition of the difference quotient. So, let f of x be a function of x. Got it. And the difference quotient, we need to find f of x plus h and f of x. Well, f of x is easy. That's just given to us. And, if I want to find f of x plus h, remember, we can start off by dropping the independent variable and leaving an empty set of parentheses. Then, whatever we put in one set of parentheses has to go in all of them. And what we'd like in this first set of parentheses is x plus h. So, we'll put an x plus h in every set of parentheses. And let's go ahead and expand that.  So, let's go ahead and figure out what that is. Equals means replaceable. So, let's replace f of x plus h and f of x. And don't forget to use parentheses around our subterhent. And let's clean up some of the algebra. And we end up with this expression. Again, equals means replaceable. So, this is f of x plus h minus f of x. An important idea to keep in mind is that the final expression of the difference quotient of an algebraic function should not include a denominator of h. We should be able to do something that will cause this rational expression to simplify so that we're not dividing by h. So, this means we can and should simplify our difference quotient. So, it's a quotient and my only hope of being able to cancel out that h is to have the numerator expressed as a product, which means I need to factor. So, now my numerator is a product h times stuff over h. And so those h's can cancel out. And I'm left with my final expression of the difference quotient. What if our function is g of x equals square root of 8 minus x? We find g of x and g of x plus h. g of x is easy. That's what we've been given. g of x plus h, well, we'll start out by rewriting our function, replacing every appearance of x with an empty set of parentheses. Then, whatever goes in one set of parentheses has to go in all of them. And so we have our difference quotient. Or do we? Remember that the final expression of the difference quotient of an algebraic function should not include a denominator of h. So, since our expression still has an h in the denominator, we need to get the h out. Sad to say, the only way we can do that is to resort to a bunch of algebraic tricks. And that means we have to spend a little bit of time doing tricks and not actually doing math. And one of the tricks we can turn is to remember that if I multiply the sum and difference of square roots, I eliminate the square roots. So, since I have a difference of square roots in the numerator, what I'd like to do is I'd like to multiply it by the sum of the square roots. And we can, as long as we pay for it. In this particular case, because I don't want to change the expression that I have, I have the difference quotient. I need to multiply and divide by this sum of square roots. So I'll multiply numerator and denominator by that sum. And now we can do a little bit of algebra. Now, one of the hallmarks of being a good math student is how effectively you procrastinate. So here's an idea to keep in mind. The reason that we multiplied by this horrifying expression is so that we could get rid of these square roots in the numerator. On the other hand, the reason we're doing all of this is so that we can cancel out this h in the denominator. But we can only do that cancellation when numerator and denominator are products. Now, in the denominator, I have h times horrifying mess, and that's already a product. So I'd like to leave it in that form. Of course, the numerator is also a product, horrifying mess times horrifying mess. But it's a product that has a much simpler final form. So let's multiply out the numerator. And now we can simplify it. And now my numerator is just minus h. My denominator is a product that includes the factor of h, so we can simplify and get our final expression for the difference quotient. What if I have a rational function? Well, again, we can find m of x and m of x plus h. We can write down our expression for the difference quotient, but we need to get the h out. So we have this horrifying fraction. But remember, if you multiply a fraction by its denominator, the fraction becomes an integer. So if we multiply through by the product of our denominators, 2 times x plus h plus 3, and 2x plus 3, then we'll eliminate all of our fractions. So we'll buy a 2 times x plus h plus 3 times 2x plus 3, and we'll pay for it by dividing by the same quantity. And again, let's procrastinate efficiently. The denominator is a product, so let's leave it in that form. On the other hand, the whole reason behind multiplying the numerator by this frightening mess is to get rid of the fractions. So let's multiply by the fractions, then simplify, then expand and combine like terms. And now our numerator is also a product minus 2 times h, so we can cancel out the common factors and get our final expression of the difference quotient.


Live from Midtown Manhattan, it's theCUBE, covering Big Data New York City 2017. Brought to you by SiliconANGLE Media and it's ecosystem sponsors. Hello everyone, welcome back to theCUBE's exclusive coverage of Big Data NYC. It's where all the actions have us. Our 50 year doing our own event here in New York City. The hashtag is Big Data NYC. Also in conjunction with Strata Hadoop. Used to be called Hadoop World and Strata Hadoop now is called Strata Data as they try to grow to where the future's going to be. A lot of hype over there, a lot of action. But here's where we do the intimate interviews and stories. I'm John Furrier, co-host of theCUBE with Emma McGratton, who is the Senior Vice President of Engineering at Actian. Great to have you on. Thanks for having me. We love having everyone from Ireland because the accents always get great, the gate tracks, so I appreciate you coming on. Have a beer later at the pub. We love it on New York, it's got a lot of great Irish pubs. In all seriousness, we've had Actian on before. Mike Hodkins has been on. We had Jeff Beeson yesterday give us the marketing angle of hybrid data that you guys are doing. What's under the hood? Because Actian has a lot of technology in their portfolio through how you guys had your growth strategy, but now as the world wants to bring it together, you're seeing some real critical trends. A lot of application development where data is important. Huge amount of security challenges.  Security out of IT. And then you got all this data conference stuff. That's just on the top line. Then you got IoT. So people are busy, their plates are full, and data is the center of it. So what are you guys doing to bring all the Actian together? That's a great question, perfect question for Actian. So we have in Actian a number of products in the portfolio and we believe that best fit product, right? So if you're doing something like graph database, it doesn't make sense to put a vector and Hadoop solution against that. So we've got the right fit technology for what we're doing. And for IoT, we've got an embedded database that's the smallest 30 minutes, right? So I've got PowerPoint files that are bigger than this database that we'll just, you put it in a device, set it, it can run for 20 years, you never have to touch it. But all that data that's been generated, typically you're generating it because you want at some point to be able to analyze it. And what we've got in the portfolio and vector in Hadoop is the ability to take that data from the IoT sources perform very high speed analytics on that. So the products that we have within the portfolio are focused around data integration. So pulling data into an environment where you're going to perform analysis or otherwise operationalize that data. Data management, so that's a lot of our customers are just doing CRM, ERP applications on our product and platforms. And then the analytics is where I get really excited because there's so much happening in the analytics world in terms of new types of applications being built, in terms of real time requirements, in terms of security and governance that you're talking about and referencing your question. And we've got a unique solution that can address all of those areas in our vector in Hadoop product. So it's interesting that we see the name Hadoop coming out of the show this week because we see that the focus on Hadoop kind of moving to the background and where the real focus is around the data and not so much on the platform. And the business value, I hate to sound cliche about outcomes, but we were joking on theCUBE yesterday and kind of can't coin the term outcomes as a service which is kind of a goof on the whole. That's about the outcomes which is a cliche in tech, but that really is the truth. At the end of the day, you got a business goal, but the role of data now in real time is key. You're seeing people want real time, not real time response with old data. They want the real data. So people are starting to look at data as a really instrumental part of the development process. Similar to what DevOps did with infrastructure as code, people want data to be like code. And that is a hard architectural challenge.  And I don't know the hybrid cloud is the marketing message, but I have challenges. I'm the CXO, I'm the CDO, I'm the CIO, I'm the CFO, CIO, whatever the person making these huge, sweeping operational cost decisions, and Reverend is, what's the architecture? Because that's what people are working on right now and how do you present that? Right, so we recognize the fact that everybody's got a very distributed environment and part of the message around hybrid data is that data can be generated pretty much any place. You may be generating data in the cloud with your own custom applications. You may be using Salesforce.com or Netsuite or whatever and you've got your on-premise sources of data generation and what we provide in Actian is the ability to access all of that data in real-time and make it part of the application set that you're deploying that is going to be able to react in real-time to changes. You don't want to be acting on yesterday's data because things have happened, things have moved on. So the importance of real-time is not lost on Actian and all of the solutions that we bring together enable that real-time analysis of what's happening in every part of the environment. So it's hybrid in terms of the type of data that you're working with. It's hybrid in terms of it could be generated in the cloud, in any cloud or on-premise and being able to pull all of that together and perform real-time analysis is incredibly important to generating value from the data. And I want to get your thoughts on a comment that I heard last night and then multiple times but the same pattern, they don't get it. I mean they could be the venture capitalist as part of the startup or the customer because this is the way we do it. There's definitely things that are out there, silos, legacy things that are in environments. They're not going away and we know that. But how do you go into a customer and say, look, there's a whole new way of doing things right now. It's not necessarily a radical lift and shift or rip and replace whatever word you want to use. There's always a word that, you know like rip and replace, we'll say lift and shift. It's the same thing, right? You don't want to do a lot of incremental, operational wholesale changes but you want to do incremental value now. How do you go in and saying, look, this is the way you want to think about real time in your architecture because I don't necessarily want to change my operational mindset for sales force and all these different data sources. How do you guys have that conversation? So Actian is unique in that we have a customer base that goes back 20, 30 years. I personally will be acting in 25 years in December, right? So we've got customers that are running our, I would like to call them legacy products but they're products that are pairing their business every day of the week. And we've also got incredibly innovative product that we're on the bleeding edge. And what we've done in our recent release of Actian X is to combine bleeding edge technology with this more mature and proven technology. So in Actian X you've got the OLTP database that was Ingress and now got rebranded because it's got new capabilities. And then we've taken the engine from our Actian Vector product and brought that into Actian X so that you can do in real time analysis of your OLTP data and react in real time to changes in the data. And it's interesting that you talk about real time because it means different things to different people, right? So if you're talking to somebody doing risk analysis, real time is milliseconds. If you're talking to some customers, real time is yesterday's data and that's fine. And what we've done with Actian X is to provide that ability to determine for yourself what real time means to you and to provide a solution that enables you to respond in real time. Now bringing analytics into what is a more traditional OLTP database and kind of demonstrating for them some of the new capabilities it enables that opens up other opportunities for us. We can have conversations about maybe backing up that data set to the cloud. So somebody that may have been risk averse and not looking at cloud, all of a sudden is looking at cloud, looking at analytics. So we're kind of opening up new opportunities for us and new opportunities for them, right? Because the data, as they say, is the new OL. That's great, great. And you guys have a good customer based to draw from so you got to bring in the shiny new toy but make it work with existing. So it sounds like you're building like an abstraction layer that you're bolting on tech to, tech that was very useful and is useful by decoupling it with new software that adds value. That's the, is it a abstraction layer or sort? We don't think of it as an abstraction layer but certainly one could think of it that way because it's, well yeah. It's a product. I mean, basically you basically take the old product and bring new stuff to it. Exactly, exactly. Okay, so I got to ask you about the trend around IoT because IoT is one of those things right now that's super hype and I think it's going to be even more hype but security has been a big problem and I hear a lot of CXSF, certainly IoT is on the agenda. Industrial IoT is kind of a low hanging fruit. They go that first. But no one wants to be the next Equifax, right? So there's a lot of security, you know, stuff that causes that, plus there's other things going on they got to take care of. How do you guys talk about the security equation where you can come in and put in a reliable, workable solution and still make the customers feel like they're moving the ball down the field. So that's one of the benefits that we have been in the industry for as long as we have. We have a very deep understanding as to what security requirements are in terms of providing capabilities within the product to do things like control who can access what data and to what degree. Can they update it? Can they only read it? Providing the ability to encrypt the data, right? So for many use cases the data is so sensitive that you'd always want it encrypted when it's stored. You'd want any traffic coming in and out of the environment to be encrypted. Being able to audit everything that's happening in the environment. Who's issuing what queries and from where and to set alarms if something, if somebody attempts to access data that they shouldn't be attempting to access. So taking all of those capabilities together, we're then able to look at things like GDPR, right? What are the requirements for securing the data? And we've got all of the capabilities within the product and we've got the credibility because we've been doing this for 30 years, right? That we can secure these environments. We can conform to the various standards and mandates that are put in place for data security. So we have a very strong story to tell. What's your position on GDPR? Obviously that is super important. I mean, I call it the Y2K that actually is real because there's compliance issues and there's a lot of obviously political things going on but this is a real problem. People have to move as a solution. What do you guys offer there? I think Equifax was a prime example of why GDPR is incredibly important, right? So for Actin, I talked about the capabilities we provide with regard to securing data and secure access to that data. And when it comes to GDPR, a lot of it is around process. So what we're doing is guiding our customers and making sure that they have secure processes in place, that putting all of this smarts into the technology and then having somebody doing an offline backup on a CD that they leave on a seat on the train, right? Which has in the past been a source of data breaches is an issue with process and not with technology. So we're helping with that and helping educating our customers. Well, Equifax had some PPN issues, but also, I mean, I haven't reported on this yet, but also have confirmed that there were state actors involved, foreign actors penetrating in through their franchise relationships. So in partnering in an open internet these days, you need to understand who the parties are, even if they're in the network. Absolutely, and that's why this idea of providing all of the capabilities required for data security, including auditing, who's coming in. So failed attempts to get into the system should be reported as those problems. And that's a capability that we have within the database. So you've been acting for 25 years. I did not know that's cool. Good folks over there have been in the office a few times. I'm sure you got a good, healthy customer base, but for the folks that don't know Actian, what's the pitch from your standpoint?   What is the problem that you saw? What do you bring to the table? From an engineering perspective, how do you differentiate? So my primary focus is around high-speed analytics, right? So Actian enables the fastest SQL access to data on Hadoop and off of Hadoop, proven through benchmarks. So high-speed analytics is incredibly important, but for Actian we're unique in having this 30-year history where, and we understand what it is to run 24-7 mission-critical operational databases. So Actian's known for products like Ingress, like P-SQL, and being able to analyze data that's operationalized, but then also bringing in new data sources, because that's where things are really going, that people want to choose the best application, whether it's in the cloud or on-premise, doesn't matter, it's the best application for their need. And being able to pull all of that data together, and for operational purposes and for analytics purposes is incredibly important, and Actian enables all of that. And that's where the hybrid mission, I think, is really clever and smart, because you've got the consumption side and the creation side, and data integration isn't a project, it just happens. So you want to enable that, and I think you can see that would be a key benefit, certainly as whether these decentralized apps get more traction, you're going to start to see more immutable things, transactions happening, blockchain clearly points to that direction of the market where, hey, that's cool, distributed computing has been around for a while, but now decentralized, we know how to behave there. So we're seeing some apps that will probably be rewritten for that, but again, if architected properly, that shouldn't be a problem. Right? Exactly, and we don't want anybody to have to rewrite apps. What we want to be able to do is to provide a platform where the data that you need is available. They're called Dapps for decentralized apps, and it's a whole new wave coming. It's not being talked about here at the show, we're on it, it's obviously a silicon angle, and Wikibon are on those trends, as you know, we're riding the big wave. Okay, Em, I want to ask you a final question.  If you look back and kind of go to the balcony, if you would look at the stage of the industry, now you see Hadoop is now in the background, it's an element of the bigger picture. We're seeing, we were commenting yesterday that these customers have these tool sheds of all these tools they've bought, and they bought a hammer that wants to be a lawnmower, right? And so it's just like they have their tool platforms are being pitched at them, there's a lot of confusion. What's the main problem that the industry's trying to solve? If you look at it, if you can put the dots together, what is the big problem that needs to be solved that the industry should be solving? So I think it's that data is every place, right? And there is not a whole lot of discipline around corralling that and putting security around it, being able to deploy security policies across data regardless of where it's deployed or sourced. So I think that's probably the biggest challenge is bringing compute to the data and pulling all of that together, and that's the challenge that we're addressing. And so the unification, if you will, people use that word, all unifying data, what does that actually mean? You guys call it hybrid data, which means you have some flexibility, you need it. All right, cool. Emma, thanks so much for coming on theCUBE. Really appreciate it. Congratulations on your success. And again, you guys got to a good spot. You got a broad portfolio. You're bringing it together with hybrid data. Best of luck, we'll keep in touch. Emma McGracken here, the Senior Vice President of Engineering at Acti and here on theCUBE. More live coverage here in New York City from theCUBE's coverage of big data NYC after this short break.


Hello and welcome back here to the channel. I'll be more of it We are staring at the back of an ESTA spec s13 at VDC Okiyama We could be taking this thing for a rip. Make sure you guys follow me on all social media all that you found in Description box below. Well, let's get to it But like I said, we are staring at an ESTA spec s13 I could appreciate the left-hand drive s13 and this is from Connor O'Brien So he hit me up if you guys remember I did a driver spotlight on his s15 from last year And this is his new ESTA spec s13 And like I said, I do a really do appreciate that left-hand drive of it because you know my love for left-hand drive cars because Well, I'm from the States So when he hit me up asked me if I wanted to take his new s13 for a rip Of course, I said yes He told me to drive it basically like I stole it throw it bash it have a little fun with it wall taps and all And just have a good time That's what we're gonna do. We'll be taking it here at okiyama circuit as well as a few other ones and It's got some bright party lights inside and out But there is the model is not complete yet the car is not 100% He did tell me that there's some fit and finish things that he needs to get done to it But before we go any real further credit where credit is due so some of these may be incorrect for Spec he did tell me it is in a Warthouse 2jz But it you know this data information shows it being a 3.8 liter VR 38 But for base model it was from Mike Jeffrey model street heroes and KR arts interior apex and KR art wheels are from DCGP model work was from KR art and Physics KR art and sound is Kawa. So credit. We're credit is due for these modelers here So we're gonna go full send here and see what we could do So we are gonna take a look at the inside. I definitely like the way the interior Glows when you turn on the lights Got that link ECU dash in there. I Think we may have to adjust our audio up a smidge There we go give it a little more sound So we're gonna go full send here and we're gonna drive this in first person as well as in third person and take a look to replay here. Oh Boy as you see a little fit and finish so you can see kind of through the hood a little normal is not flipped We'll send here Okay, I'm a circuit definitely a fun track, but also bad if you get it wrong this gear Throw it in. Oh grass line Really shallow there on that grass line, but should be able to make it up here Almost sending that into the wall But for first rip out that wasn't too bad So I definitely love to do it at these spotlight style driving you guys in progression with my M4 It's definitely super dialed in but getting to drive all these other competition style cars is also fun I'm building myself a practice car as well, which you guys will see very shortly Somebody can drive with you know the boys and everything like that. That's not you know given the M4 out right now Well, it's not fully finished. So some that's a little more polished of a model. So we give it another full set Second year it Try not a grass entry this time we were on that Robo strip on that wall I think we were on that zone too. Well, let's definitely take a look at this run Overall not too bad definitely like how this car is handling and driving So go take a look at those third person or the replay angles before we rip this car in third I don't know. We'll rip it in third first rip it in third person first Well definitely allowed rip headphone users It's not a basic tune kind of a little basic settings that I'm used to running on my cars Always get that wide. I kind of threw us way offline Gotta get a wall tap in there though. There it is There's my wall tap. He said the wall tap it. So there's the wall tap right there We may have tapped it when we were running it first. So Let's go take a look at those replays real quick Take a look at this first run And the glorious replay camera This she didn't way early there Kind of didn't run that rumble strip, which threw us a little offline. We were about a car length off that Pretty good in that zone though and I washed out a little bit. I got in the zone, but I kind of washed out in the car But for first run out definitely a solid At that second run here while we have a little sip of our beverage So this was that second run that we had Where we definitely got up on the rumble strips on that first wall So definitely curious how actually close to the wall we were Because I felt like we were really close So I heard the rumble strips good quick early initiation Pretty good on that clip in here. It should be.  So we did Overall not a too shabby of a run Like I said deep drive these different cars definitely makes I feel myself a better driver because I could learn other styles of driving and of course we had that a Little wall touch in the third run We watched it out there, but I wanted to get that wall touch. There was one Little wall drag There's that wall tap. So now we're gonna change up tracks We're gonna hit up a whist w and see what we can do on a bank. So I'll meet you guys when we're on grid So we're entering in To Orlando speed world to do a full run Well at a speed world quickly becoming one of my favorite tracks over Irwindale I know I said it over Irwindale. So we're gonna go full send here second your start horse gear Pick it in a little left foot break kind of riding that wall though Handling the bank pretty well. That was pretty well gearing might not be correct. We're kind of just banging red line But overall not a shabby run at all I do if I do say so myself That was a pretty good run on the bank with like I said, this is just a basic to it's a big Thank you to car for give me access to this car and it's a early stages of Development but like so I could definitely appreciate the left-hand drive of this 13 because well Like said from states. I like my left-hand drives That's what I'm comfortable in I think we're in the wall almost Wish I had a little more gear a little bit of understeer pushing us up on to the inner bank But those were So pretty spicy runs Well, we definitely got lower that we did increase the audio a little bit for the in car, but now we got to Lower that down a little bit So we don't up below all the headphone users eardrums out What final run in third person make sure you follow me on all social media all inch from scratch box below Then we're gonna take a look at the two replays of those two runs. I want to see where I was on the wall Oh, we're in the wall. We're dragging walls right now in this 13 into the crease kind of just running it out definitely a very solid driving car and Definitely had a lot of fun driving it. So once again, thank you to Connor O'Brien for giving me access to cars My mouse cursor spit speed went up. So we're taking a look at those first two runs All right first two runs here at OSW. We're gonna take a look these two runs and the steps it off So I feel like we're pretty high on the bank. Just you know, don't know how high we were actually were. Oh Yeah, we were we were kind of in the wall We were much higher on the second run it manages bumps pretty well got a little bit of poke through in the fenders But now like I said some fit and finishing and stuff like that. He said he's got to get finished, but overall, I'm very solid car Kind of running that crease. I can definitely Appreciate the subtlety of style with this car So like I said, make sure you follow me on all social media all the transcription box below If you guys have composite cars and you guys want to possibly see them here spotlighted on the channel Hit me up on Instagram and let me know in the direct messages We can maybe work something out if we can get that car here on this little spotlight episode So this run I feel like we were way closer Yeah, we were kind of in the wall So that's gonna do it here for this episode here on a set of course a big thank you to Connor for giving me Access to this car and as always I like thank you guys for coming back and watching. I'm evil rabbit I'll see you guys on the track