Good day, everyone. My name is Shrikant Hacharian. I'm the CTO of Excel 4 and today's topic, of course is software defined vehicle. It's almost become a cliche at this point. And the standardization efforts undertaken by both Red Hat and Excel 4 in the form of ESync and other associated standards that are encompassing the whole sphere of software defined vehicle. And of course, the common theme is the OpenShift hybrid platform of Red Hat, which allows you to connect to any cloud provider with ease. With that said, let me come to my introduction. So a quick one. So Excel 4 has been driving standardization both for cloud to the vehicle and from inside the vehicle as well. So this was the standardization that started to standardize data and OTA, which is very key if SDV has to become a real what I call fountain of monetization for the car industry. So we are just a quick introduction. We have five offices worldwide. We have global adoption for the E-Sync standardization across OEMs. And of course, we have a considerable amount of what I call established vehicles on the road. Now just a quick note on what E-Sync really means. The E-Sync is a bi-directional standardized pipeline. And it's a client, server client and agent approach. It's not new to the what I call industrialized world. And the beauty of this distributed architecture is allow you to scale. You don't have another scaling comes in the form of it doesn't matter how many devices are connected in network, the client discovers them and brings them into the network. This allows scalability. Secondly, the server to client connectivity is not going to change from platform to platform. And so in that context, you create you only change the aspects of the system that need to change from when you move from say one car platform to the next. It addresses all major OESs. So that's not a problem. It is basically transparent to the connectivity scheme. So any network can be connected. It has global requirements. And of course, it has full logs and records for compliance. So that's very important because that's one of the important things for certification today. Now what's inside the what I call the client agent architecture, the agent is a software abstraction, a software abstraction that allows you to present a device in a very standardized interface that connects to a message broker. So whenever a new device comes in, it presents its credentials, the credentials are verified, and if it's the right one, it becomes registered. This is what is known as a discovery mechanism. In this way, what happens is the agents get discovered as the system powers up. So the system does not have a predefined memory as to how many devices are in the network at any given time. What it does is as the power comes on, the various registrations get matched, tallied, and the network gets discovered. There are two reasons why this becomes a very important thing. One is, first of all, any new element that gets introduced as a rogue element can be discovered immediately. And if some devices are non-operational, it gets flagged immediately. And if the same setup is put on a car that has 20 ECUs, or a car 40 ECUs or 100 ECUs, the discovery allows the system to stay standard across platforms. Now, the standardization effort is not an easy effort at any point, but it has gathered momentum. It has gathered momentum in terms of customers, OEMs, and even semiconductor companies. And that has really been a driving force, because finally, standardization has to come from within the organization. It cannot be imposed. Standardizations have to be something that you learn from mistakes. But standardization cannot be what I call an insular. It has to go across standard, because there's so many other bodies that are also doing stuff. This whole SDV is such a big swath that you cannot attempt to solve it with one organization. So you have to collaborate. And in this regard, you have the CoVisa. CoVisa is building this what I call the standardized vehicle catalog in the cloud. And so the SYNC Alliance went into analyze an agreement in 2021, created the certification, or I call organization between the CVII, the connected vehicle initiative, as well as the vehicle catalog that they are trying to build. So these are all the activities, joint technical sessions, and demonstrate proof of concepts. There's another standard organization that is evolving called the AutoWire Foundation that presents what I call creating an open source for the autonomous driving pipeline. So now we have worked with them for over six months to bring in concepts that can allow this kind of what I call containerized updates into their autonomous vehicles. And this is again an important what I call development. So standardization cannot be insular. It has to grow beyond its own boundaries, and it has to collaborate because the whole area of the vehicle development is not a preserve of one single organization or company. Now, in this standardized pipeline, you have the OTA, which is the ODF update, but that is not what I call all in all, you have to bring data out of the vehicle in order to have this learning loop. So we talk about autonomous driving vehicles. How do they become better? You have to have a learning loop.  So you always have to figure out how things can grow from a structure that is what I call the infrastructure. And the infrastructure is this standardized pipeline. And then it exposes very standardized interfaces through APIs that are well defined in the standard definition that's available in the E-Sync Alliance to the E-Sync Alliance members. It's a 500 page spec that outlines every aspect of how to make the server available, how to create the client, how create the agent, and also to create what I call substantially the next aspects of evolution, which is the data and then the analytics.  And so deep data, how to extract the full resolution, having rolling buffers, all this become part of the construct that create the edX pipeline that connects to the E-Sync OTS scheme. Now what happens with the data aggregation platform? You have to have both the cloud aspect and the in-vehicle aspect. So much data is getting collected inside the vehicle to transfer all the data into the cloud is, I would say, not a, I wouldn't call it feasible, it is feasible, but it's not practical. So you have to have cleans the data, cleansing the data inside the vehicle is extremely important before you transfer that cleans data back into the cloud because that's what is relevant, relevant data that is in and around an event, relevant data that extracts certain features out of what's happening. That to me is essential to the platform approach itself. So you have the E-Sync pipeline, then you have the E-Sync OTS and application, and now you have the edX as an application. Now you have the complete learning loop for the vehicle, and these are all coming out of standardization processes. Now, so we have implemented a version of the edX, and these are all the things that we have managed to get out of it. So telematics data for the vehicle that is generally available and everybody knows how to do it, then talk about different, what I call device statuses inside the vehicle. You're talking about what I call dashboards that tell us a little more detail about power and drivetrain, battery management systems, and high resolution data and demand. Now these are all configurable. So you can send the configuration information from the cloud and the appropriate data shows up from the device through the client into the cloud. Now coming to the whole aspect of a software-defined vehicle. Now a software-defined vehicle can mean several things to the people who work on it. Here is our definition of what a software-defined vehicle is. The key things are you have to have a standardized hardware that rolls out of a platform because you are trying to put software that is configured to create the car. So what is that? It needs to have a domain master architecture, you have to have zonal controllers, and these are what I call a confluence of high compute centralized units to what I call regional zonal computing units. So now once the hardware is standardized, you can now deploy the software to create the feature or the vehicle. So in that regard, now you can put model, you can create sub-models, you can create options, packages, personalizations, but it all emanates from a standard having a standard hardware platform on the table. So now a lot of things are happening, features on demand, feature purchases, subscriptions, rentals, refreshers, upgrades have become part of a personalization process. We are all in this age of having cell phones getting updated, new cell phones coming along. We are all used to it. Now we are trying to bring the same into the car and you don't have to sell it anymore because this is something that we have got used to it. Similarly, now that you have pushed features on what you do in terms of getting data out of the vehicle. So what all the things that you can create to monetize the vehicle data? Now that's important that you need to get standardized data out of the vehicle in order to even monetize it. So you have to go beyond test vehicles. So in olden days you had to run vehicles and test tracks to get data before a vehicle is launched, but today you cannot, you don't have that, you don't need to have that because you have hundreds and thousands of vehicles running on everyday use cases and you're going to collect data out of them. While you may need still the the race tracks or the test tracks are going to be relevant, but the reality is that by connecting the vehicles, all of them, you are getting hundreds and thousands of vehicle data all at once giving you a better understanding as to how the vehicle is performing in different use cases. So you can bring in predictive analytics, predict life cycles, remedials, event correlations, even assess us to the stature of the road. Challenge in a software defined vehicle and the complexity of its connections. This is the challenge. We talk a lot about standardization, talk about the ways you can monetize data, but fundamentally are grounded in our own legacy that we are managing and that's somehow we are unable to get out of it. Why? This is the challenge we have in the modern what I call landscape of OEMs. You have OEMs on one end, you have tier ones on the other end, they all make ECUs, but they each make a different version of the device to reflect the needs of their OEMs. Look at how much cost that entails, how much energy that is, and this is what we all want to do is to standardize. If we get ECUs to present a standardized interface and they are tested, validated, and say they are ESync ready or whatever standardize ready, then even the OEMs don't have to wonder how they want to integrate that vehicle, that device ECU into their structure. In order to simplify, you have to standardize. In order to reduce cost, you got to standardize. In order to monetize, you got to standardize and this is the challenge for all of us. Interoperability is part of the spec and the compliance, conforms, conformations. There are minimal requirements, of course, and they are APIs. We have also what I call, we understand that OEMs have had their own what I call investments, so this standard allows you to how to gracefully merge the two. So that you can use the scalability and ease of deployment to try to merge with existing infrastructure. Market engagement adoption, so we have leading partnerships, of course, Red Hat being one of the key ones. The alliance is bringing in a lot of value and of course we have managed to create a common interface to the cloud platforms. Use cases. This is a use case of an autonomous driving truck platform that is using eSync today. It got it running in literally three months into their beta. Now, this concept of trying to get things into production is always a headache for automotive OEMs, but the standardized modular structure of eSync allows you to get going into your production quickly. There's a new upcoming member in the alliance that is really creating a platform that we thought would be the prototype of a software divine vehicle. What are they doing? They are creating a super board that presents the drive train, the battery, the steering, all these available as a platform and you can put the skin on top and create your own vehicle. That would have been a great concept to start with, but this is reality today and so that's your power for you. It's a multimodal EV platform. Now, a little bit about open shift integration. Everything is a collaboration and an effort to figure out how these things can work together and what we have done in this whole process of two years of working with Red Hat is figuring out ways that the various modules can talk to each other and become part of a connectivity environment. The open shift to us has been a great experience and right now, I'd like to hand over my talk to my colleague, Otwin, who can expound on what all he's been doing with eSync and the open shift and the environment that he has created. Thank you, Shrikant. Can you hear me, by the way? Sound is working? Great. I would need to share my screen. Do I have to leave now to let you share the screen? No, you can do it yourself. It should work now. Try this and you should see my screen. Yes, we can. So you see my screen, right? Yep. Okay, great. First, let me briefly introduce myself. My name is Otwin Schneider. I'm working in the hybrid platforms, open shift business unit at Red Hat. Today, I want to show you a little demo and also talk a little bit about what we have done with eSync together. In this context of the demo, you heard already with human driving perception platform with Bobby Carr, but first of all, thank you, Shrikant, for covering this topic and explaining the over-the-air architecture and so on. I would start with a question now from a retic perspective, how can we help with this over-the-air update topic? How can we help with our technologies? I would say basically it is like this eSync kind of standardize the way or over-the-air updates, so that's not every render kind of invent a deal again and again. What we do from the red hat side, we kind of standardize the platform. We not only have Kubernetes, we have a lot more services added on top of it. We have platform services, application services, data, developer services, and there's a bunch of other services as well like multi-cluster management, security, all the things you need for two things. You can run it in a complete eSync over-the-air infrastructure at scale in a cloud agnostic fashion. As also mentioned in the upstream talk we heard, it is like cloud agnostic. We have operators. They can replace the managed services you have and you can kind of run your eSync over-the-air infrastructure in any cloud, if it's AWS, Azure, wherever in your own data center, so you have kind of really a consistent environment to run these services really at scale. Some of the things, for example the eSync the architecture consists of several components, so there is a server component actually where you kind of manage your software packages, you create updating campaigns and so on. The server infrastructure needs several middleware components as well. We can also provide on top of OpenShift with some of our application services portfolio, for example with API management, with messaging platforms, database caching, so all these services we can use them to actually support the actual eSync infrastructure. What you could do is you can really operate an over-the-air infrastructure on top of OpenShift. This is one thing. The other thing you can use the OpenShift container platform to really build your automotive cloud for all the other types of workloads in this scenario, as already heard today. We have machine learning AI, so OpenShift is really for any type of workload. You can do your machine learning AI stream data processing, batch processing. It supports microservice architecture, event-based architecture and so on. These are also very relevant in this context. Let me come to the demo part. As already heard, we've created a demo which is called BobbyCar. Basically, what it is, it is kind of an opinionated design, a red-app recommendation, you could say, for a cloud native IoT architecture built with red-app products. There are a lot of reference architectures out there supporting these different types of workloads. This is kind of a way we would recommend you could do it with OpenShift and a bunch of the middleware portfolio we have. The high-level architecture, just to give you the context of this demo, just walk over the high-level architectures. Basically, it is a vehicle simulation. We have, on the left side, the actual BobbyCars, which are vehicle simulators implemented in cloud native Java and Quarkus. By the way, everything you see here is running in OpenShift. Then we have several regional cloud environments and a central cloud environment. There is the connectivity from the simulated vehicles to the central cloud environment with MQTT, with an HTTP Kafka bridge and so on. Basically, all the data coming from the cars, all the telemetry data, they are coming to the MQTT. Then we have several integration components, cloud native integration components. Basically, everything that comes in goes into Kafka. From there, we distribute the data or do different types of processing. One thing is, of course, real-time data processing with Kafka Streams or Apache Spark, the different technologies you could use there. Then we have distributed caching as well to store the current state of every car in the system, where we have business entities and configurations stored in there. There is a real-time dashboard to see where are the cars driving, what is happening there. Then we mirror the data. We do also some data cleansing, so to say, and mirror all the relevant data for machine learning from the regional cloud environments to central cloud environments. You see there on the right side, there is a central Kafka cluster running and attached to this cluster. For example, our machine learning infrastructure, which could be from a Red Hat perspective based on OpenData Hub. There you do your machine learning and bring the trained models back up into the car. This is basically the high-level architecture of the demo. Now, what we've done in the last few months is also integrate a use case with eSync with standard over-the-air updates for this specific demo. What we have is we've deployed eSync service in this regional cloud environments. The eSync client is the in-vehicle gateway, communicating with the service side, so whenever there is an update for a specific type of car and so on, the client will fetch the data, the actual payload and will distribute it internally to the specific ECU and will do the update. In this scenario here, the vehicle simulations, they're not highly sophisticated, so we don't simulate like ECUs or things like this. This is just more the use case we've implemented here is kind of a location-based configuration change, so we have our vehicles, they're driving around and we have configured different zones. That could be, for example, environmental zones or it could be a zone in a specific area where we want to react on certain conditions like there is kind of the road conditions are different and we want to apply a different configuration to the car for a specific location, so this is kind of the use case and so we have the simulated car, so they're driving, sending telemetry data to the cloud backend of ramqtt, mqstreams, so this is kind of a simplified view you see here, then there's also a zone change detection service running, so whenever a car enters a zone or leaves a zone there will be a zone change event emitted and then we use openshift serverless which is also one of the services openshift offers and we use the serverless function to kind of communicate with eSync server to check, okay, is this an update zone, is this car kind of valid for an update and then we assign kind of the vehicle identification number to a specific update campaign, so we're interacting with the API server of the eSync and this one will then trigger the assigned eSync client, the actual over the update download, so the client will download the update package and will distribute it to the car and will be applied here, so this is kind of the context and just a demo we've implemented here and I would now jump into the demo part in openshift, but I have to apologize today, so something really bad happened, actually I completely destroyed my openshift cluster, so I don't have an over the update infrastructure, eSync, whatever, so I've used a new openshift cluster and I only can show you unfortunately only a few parts of it, so basically just the bobby car components and the cars, but I wasn't able to kind of reproduce the complete over the eSync parts of this demo, so I'm really sorry for this, this is one of the worst days in years for me, but yeah honestly it's okay, so what you see here, we are here in an open shift environment 4.10 and there is a project called bobby car, I switch into this project and also jump into the developer perspective and then you should see some circles and bubbles popping up and you see all the containers running here, so basically what you see here is the complete regional IoT cloud environment with a caching system with Kafka running here, MQTT broker, several integration components, so everything is deployed in here and you'll find all the code also in github, so you can also if you want to try that in your open shift environment, so everything is running here and now let's zoom in, you see here is a car simulator, this is the actual bobby car or a vehicle, so there's one container currently running and this one is simulating 20 cars and there is also a dashboard component, which is kind of the actual visual side of it, so we have a dashboard and there's basically very simple, there's just a map and we see the 20 cars now, so we should see a map and we should also see some markers moving around and the red circles you see here, these are the specific update zones, so there is for example in Frankfurt, we have a zone then here is a zone in this intersection here in front of the airport and so on, so we can have different zones and configure them, so one thing we can do, we could for example create new zones and move them around and configure them for specific types of updates, for example, we could do some real time query of the data, if we move like this gray search area and we want to know okay now kind of a little bit of stream analytics, what is the average speed, carbon dioxide, emission and so on of the cars driving here, we could do things like this and also so the thing is now, if a car enters a specific zone, so we are not that happy because the cars are driving somewhere else around, but if they enter a zone, this will trigger the serverless function in the background and this will assign the car to the, over the update server and will trigger the actual download, so we could normally, if it would work, we could go to the car detail, select one specific car, yeah we can also switch the cockpit view, if there is speed view data available, we see okay the car is currently driving here and we see the data here and there is kind of a heads up display where we see okay what type of car, what is the vehicle number and so on and we see this car is driving in a default zone and as soon as there is a zone change event we you see also this one is popping up here, by the way you see also some of the data here was the current speed and so on and then we could also vary the current engine config and this is kind of the behavior where we took like a configuration from a real world car and this is the actual payload where we have a different engine behavior for specific zones, so that would be this JSON would come through the ESync over the update normally, so basically but you get the idea how this works and how we use it in this specific scenario and integrate it also with a lot of the the technologies from our side and yeah basically that's it from my side and yeah so Ortwin don't worry live demos always fail at some point, I know proves the elasticity of our adaptable speakers and thank you very much for that


News Radio 700 WLW.  And then you hear about stuff like this that they're trying to press through the Supreme Court. And you don't know that stuff happens, but it happens too. So I guess the Supreme Court is getting ready to hear a case involving Jack Daniels, who has taken a dog toy company to court claiming they make their dog toy look too much like a Jack Daniels bottle. And yes, you're right to think that this is at the Supreme Court is mind boggling, but very true. Well, let's talk to our good friend, the patent professor. It is our good friend, John Risvian. Hey, John, how does something like this go? It's not before, didn't it get rejected once, but they're pressing it again, eh? It did. Always a pleasure to be here, and I couldn't have been for a crazier case than this. But I guess the intellectual property is getting more and more interesting day by day. So, they did, they're looking at the similarity, I mean, Jack Daniels, of course, is claiming that it's a dilution of their trademark rights. And the reason it's gotten all the way to the Supreme Court is there's essentially a need for guidance as to where the Commerce Clause, the right for Congress to regulate commerce, where that stops and the First Amendment rights to free speech start. So that's really what they're asking the court to assist with. I mean, the maker of the dog toy is claiming that it's expressive speech and that the trademark rights are unfairly infringing on a parody. Essentially they're saying it's a joke. Before we get ahead of ourselves, and I think we explained that, that it's a dog toy shaped like a little Jack Daniels bottle, and it's the same labeling and such, but everything on there has to do with like your dog pooping on your rug and stuff. Yeah, instead of old number seven brand Tennessee Sour Mask Whiskey on the bottle, it says the old number two on your Tennessee carpet. It's very tongue-in-cheek. Bad Spaniels instead of Jack Daniels, yes. Yeah, Bad Spaniels and then instead of 40% alcohol by volume, it's 43% poo. Jack Daniels doesn't clearly does not think this is funny. They believe, you know, and partly they're saying that consumers are not really, there's not a lot of reading of the text that people see the font, they see the shape of the bottle, the impression is the same, and it's confusing consumers that's part of their take. So John, to me, this is the big question. I don't think there's any question that this Bad Spaniels company made their toy purposefully to look like a Jack Daniels, but if they claim otherwise, I don't know if they have any ground to stand on, but how much is, I mean, how much, how alike does it have to be? Is it, is there a number amount? Well, three things are similar, five things. If it was looked like the Jack Daniels bottle, but didn't have, didn't make the label look quite the same. I just feel like there's got to be a tipping point of what's okay versus, okay, now you've gone too far and you're making it look too much like our, in this case, Jack Daniels bottle. Yeah. So unfortunately, there's no, there's no like number or mathematical percentage or anything like that. It's, it's comes down to consumer confusion, like here, I don't think, I don't think it's going to be a really tough to show that consumers are actually confused. It looks, you know, it's actually confused. Nobody's going to try to drink from the dog toy or such a similar case comes to mind where the court held that it was clear parity and it's, it's, it's very similar in the sense that it's also a dog toy, chewy Vuitton, and it's a chewable dog toy in the shape of a purse. So and, and that was found not to be, not, not, not to violate any trademark rights. And, you know, and to the extent as to why Jack Daniels is, is, is enforcing this are trying to enforce it. A lot of there's a duty on trademark holders to enforce their marks and to police them, so to speak. And if they don't do that, then they, their rights become diluted, it makes it harder. So part of it might be that they're simply going through and making trying to make sure that they take the appropriate steps to diligently try to protect their IP. It's, it's, it's not, I don't know, I don't have any, I've just run some informal surveys on, on our own patent professor social media pages and it's almost 100% in favor of the dog toy saying that, that Jack Daniels is needs to lighten up and get a sense of humor. So I think in the court of public opinion, it's certainly not to their benefit to, to push this. And when you talk about parody, it wouldn't this affect like if Jack Daniels would win, say, wouldn't that affect whatever, a TV show, what, a Saturday night live does a fake commercial with the something like this, couldn't they sue them if it seems like this could just really chase its tail for a while? It does.  That's, that's the opposite extreme that parody should not be, be used to disparage a mark or kind of dilute the strength of a trademark. So it is a delicate balancing act that that has to be done. There's prior case law ties it to expressive, expressive expression.  And this is a little bit tougher than the earlier case law. This is clearly a commercial product. It's not, it's not a movie. It's not a play. It's not, you know, somebody doing the free speech in the, in the traditional sense of, of, of a parade or a public gathering where they're talking about it. This is a commercial product for profit and, and then they have to, you know, the Supreme Court is going to help draw the line as to where that line is between a First Amendment right to free speech and to parody and where trademark law prevents that because clearly there is, there are restrictions on free speech.  There's restrictions on free speech and whether the trademark rights and Lanham Act is going to kick in and prevent parody of, of trademarks and how much. Well, and John, as you're describing this, I see both sides here.  You're this behemoth. They could even make the argument that it looks a little bit beneath Jack Daniels to go after a dog toy company. But I see the other side, which is they're saying, hey, if we continue to let this go on, what's next? And then all of a sudden we're, you know, people kind of see us as like a gag or like, no, we're like a serious, you know, tried and true American whiskey company here, you know. So I remember when we talked to you about Elvis and it's like, okay, what's a big deal if someone wants to be an Elvis impersonator or, you know, do the wedding themed Elvis and all that. And remember you're saying the family doesn't want the real brand of Elvis to be diluted. Could you not make the case that this is something similar with how Jack Daniels is handling this? Well, that, yeah, certainly.  So I can see, you know, I can certainly see that. You said it much more succinctly than I did, yes. I mean, especially, I mean, if they had to pick, if they were allowed to take a Sharpie and cross out anything on this label, I think the 43% Poo would be one of the things that get crossed out on it. But yeah, so that's a big part of it. They're also claiming, and I think this may be a little bit far-fetched, that they are trying to, it's an adult product, whiskey, and that it's making it harder for them to not market the kids because pet toys or something kids play with and that kids are not going to be introduced to alcoholic beverages. That part just seems kind of bizarre.  We're not, we're not, we're not. Why is, why is Fluffy drinking daddy's special drink? Exactly. So if your six or eight-year-old are making the connection, they already had made the connection prior to the dog toy. They knew about the Jack Daniel's whiskey. So no, this is not, the dog toy is not promoting underage drinking or like any of these kind of bizarre arguments that I've seen. But like I said, this is a strange case on all fronts. And it's been an important case because it's really going to determine the rights of trademark owners going forward and how strong protection they can get and stop in stopping parodies versus how much leeway being funny is going to allow, you know, commercial products. Like, can you get the commercial product is funny enough? Can you then basically parody anything and make a profit? It's under the guise of free speech. So with that, John, let's finish up with one last question. The obvious one is, do you see Jack Daniels winning this? Well, I think they can. It would have to, they would have to tie it somehow specifically, very fact specific, because the big risk, I think in a case like this would be, you know, the impact on other trademark holders. So if they tie it really specifically to facts, that would be a possibility. Only because, you know, but I don't know, it's a tough call. Because I mean, if that's the case, then then the chewy beton is makes a pretty strong argument as well, you know, but they didn't go all the way to the Supreme Court. So again, that's a lower court decision. I got to say, I think chewy baton defeats bad Spaniels. That's funny. It's pretty good. John Rizvi, always a pleasure, buddy. Thank you so much. The patent professor, people want to find out more. Where can they go? I do believe it is the patentprofessor.com. Is it not the website, the patentprofessor.com and we're everywhere on social media as a patent professor, Instagram, Facebook, LinkedIn, TikTok, you name it. All right, buddy. Thanks so much. Thank you.


What's the word y'all? What an amazing day for hoops. We got the NBA draft lottery. We find out that the San Antonio Spurs are gonna get Victor Ibn Yama after every single team was interested. We know where he's finally going. And then we got Lakers versus Nuggets game one. And it lived up to all of the hype even after the first quarter or two. It looked like it was gonna be a blowout. The Lakers made some adjustments. We're gonna talk about that. I am ready for six more of those games, I will say. But before we do that, let me tell you about our sponsor PrizePix. Hit the link in the description down at the PrizePix app and use Co-Kinney because you're matching all the pods. It's up to $100 for new players. PrizePix is daily fantasy that is just you versus the numbers. You pick some of your favorite or at least favorite athletes. You pick something like points, rebounds, assists. You see the number and you decide to think the athlete is gonna have more or less than that number. It's playoff time, so they're doing a lot of promos. For example, game seven, that was Celtics versus 76ers. Jolin B had a free spot because he only had to score one point for you to get that in the green. And obviously he did that plus about 14 more. And my entry that day was close to being a perfect entry. James Harden missed out by one rebound and if they won, losing by 100 points, maybe he would have got more tick and got that last rebound, but it is what it is because our flex played, which means that I still walked out of there in the green. So hit the link, download PrizePix and use Co-Kinney so they can match your deposit up to $100. Please play responsibly. All right, I'm gonna start off with the game because that is what's topical. That is what just wrapped up the Nuggets survive the comeback. Now through the first two and a half quarters, it felt like Nuggets, Nuggets, Nuggets. They came out originally with all the energy, all the hustle and all of the heart. And it felt like through the first couple of series for the LA Lakers, those were some of the places that they were winning. They were winning on the hustle plays. They were winning on the rebound attempt. And in this one, at least early on, it was a lot of Yolkets. I mean, through the first half, Yolkets had 19, 16 and seven. I don't know what the number was. It was something ridiculous where he looked like the best player in the world. It was a lot of Anthony Davis straight up and then every once in a while you'll get a little double team. And the goal, Yolkets is one of the most difficult players to guard in the NBA because he is such a wizard when it comes to his passing where he's looking two to three steps ahead that like throwing a consistent double at him doesn't make a lot of sense because he trusts his teammates more than anybody involved and he knows that they're gonna hit shots eventually. So in those times they were bringing those double teams, he's just kicking it out, boom, you got Brucie Brown running the floor or hitting the open shot. And Yolkets dominated through three quarters. And then the fourth quarter came around. Actually, what the Lakers did, didn't start in the fourth quarter, it started in the third where the offense started to turn around. I think they scored 36 points on 70% shooting. Like the offense for the Lakers really got up to play in that third quarter. But they were in so much of a hold that even them scoring 37 points on 70% shooting only got the lead down to like six, down to like eight. And then the fourth quarter came around. And this is where things got interesting because Nikola Yolkets didn't score in the fourth quarter until the last minute or so and those are the free throws in the intentional foul. So what happened? He was the most dominant player in basketball for the first three and a half quarters. What happened in the fourth quarter? Darvin Ham made an in-game adjustment that is something that you don't see as often in the NBA. It usually takes, okay, game one, Nikola killed us so let's start something new in game two. Darvin Ham made two big adjustments that not just neutralized or slowed down Nikola Yolkets, but it made him more tough for Jamal Murray. Early this game, there was a lot of possessions where Dennis Schroeder had the assignment on Jamal Murray and the entail was go under, go under, go under, go under. And Jamal Murray was shooting the skin off of that. And they really took advantage of the going under gameplay. And there was one specific play that I remember where he went under a screen and he had no help, no hedge, no nothing. And Dennis Schroeder looked back at his guys like, what's going on? And then after that possession, there was no more going under. He fought through every single one at all screens and he just made it more tough for Jamal Murray. And the biggest thing, the thing that they, I think that they can bring it to game two through whatever that can make the Lakers fans feel like, hey, we lost game one, but I saw a lot of good stuff. It's to switch Anthony Davis off in the Koli Jokic. Anthony Davis, as we know it, is one of the best defensive players in the ball. We just saw for two series in a row where he was dominant in the paint. So the original idea was like, okay, Anthony Davis is one of the most dominant players and basketball on the defensive side. And the Koli Jokic is the most dominant offensive player, one of the most dominant offensive player. We just gonna let them go hand-to-hand and we gonna trust our guy AD to get as many stops as possible. Didn't get a lot of stops, realistically. I don't think there's a lot of people in NBA, in the current NBA, that can guard Jokic 101 and calls him to miss a lot of shots, you know what I'm saying? But what they did was, they allowed Anthony Davis to switch on to the Jeff Green's in the world, to the Aaron Gordon's of the world and let Anthony Davis roam. And with that roaming and Rihachi Mora kind of playing the fire hydra, PJ Tucker-Rola just guarding Jokic 101 and then allowing Anthony Davis to come over and to help and muddled up the game enough when the Koli Jokic did not get any clean looks of the basket for an entire quarter. It's very similar to what Joe Missoula ended up doing in game six and game seven where when he started Robert Williams, he put Robert Williams on a non-shooter or what the team decided to be a non-shooter and let him just muck things up. And that's why Joel and Bede couldn't, one of the reasons why Joel and Bede couldn't do much. Or one of the reasons there was not a lot of lanes for James Harden to get to the basket. And when Anthony Davis was roaming, he was everywhere. He's got blocks. You know, a lot of things won't show up on the stat sheet but his presence was well known. And now this offense that in the first three quarters was looking legendary. I mean they have, if I'm not mistaken, in the playoffs to the number one offense of the four teams remaining, actually, I ain't gotta go with that. That's a fact. They've had the number one offense of the four teams remaining in the playoffs alone. And that fourth quarter got a lot more stagnation and a lot more, uh-oh, what's happened in tight possessions. And on the other side of the ball, the Lakers are going on their run. Austin Reeves hit a couple shots here near LeBron, James and Anthony Davis are getting a good whistle and boom, that lead that was at 1.20, something is now down three and we got a game where the people in ball arena are like, yo, we blow game one, we in some huge, huge trouble. Luckily enough, they got a couple of possessions where LeBron James settled for a few three that he missed. Austin Reeves got another open look on the wing in the same spot that he had two of them, like two possessions ago, he missed that shot. And ultimately the nuggets ended up getting his win. But the reason I'm so excited for the rest of this series is because I know Mike Malone is not gonna take that adjustment and send down. They got it out of there with the win. They're undefeated at ball arena. So that's a dub, but even Mike Malone said after the third quarter, hey, they score X amount of points or X amount of shooting. If we don't buckle down, they gonna take this game and they almost did. So I know Mike Malone's gonna have some type of game plan to kind of scheme against the idea of having Anthony Davis roam. I just don't know exactly what that means because in this one, you did see Jeff Green take a three when Anthony Davis was wrong and he hit the three. I also saw a lot of Aaron Gordon kind of just sitting in the dunker spot when he was guarded by Anthony Davis and that just makes it even more difficult. I know that Aaron Gordon is not some type of stretch where he's gonna sit at the three point line and hit six threes if you leave him open, but he has to make himself more of a threat to make it so that Anthony Davis can't just park himself down in that paint to keep the game open for Yolkish or the drivers or things like that. But what the nuggets need to try to do maybe in game two is get back the energy and get back those fast break opportunities they got in the first half because they were running, man. Bruce Brown, Jamal Murray, they just had so many possessions where I'm watching as a Nutri fan, like what are the Lakers gonna get back on? Like what are they doing? You know, they came out with the energy and that energy may have not lasted the entire 48 minutes but those spurts of energy was enough that even though you were gassed and almost out of it for the last couple, you had a little cushion. I want this series to be long, man. I can't lie to you, bro. That game was too good and it had no business being that good. The Lakers had no business coming back but they put together stops and they got the offense going. There's a couple plays in this one where Yolkets, no, no. The shot that everybody's gonna talk about for Nicola Yolkets is the one where the game or the court is about to end and he just hoist up a shot where it looks so unorthodox, but for Yolkets that's a pretty normal thing and even Anthony Davis who was guarding him couldn't even believe the idea of that ball going in and he just had to smile and walk it off. Like that's the type of gamesmanship that I'm kind of into because what is he supposed to do there? And even to start the court of Jamal Murray was guarded by LeBron James and LeBron, you know, like me and the guys always say, he's sitting in that chair. He was in his stance like, I love when a player just like, okay, I don't normally get like this, but we need to stop. And LeBron was sitting in that chair and Jamal Murray threw up some BS and it failed in and my boy Mike who was watching this game on Twitch, he was like, man, if they didn't have those two shots, whether they was luck or not, if they ain't had those two shots, this game is an overtime right now. And that's a fact. It was a six point game and there's two threes that they made. The Lakers also did a really good job of winning the nine Yolkets. And it's like, if there is a crypto knight to the Denver Nuggets, it is their ability to keep a lead or just maintain okay basketball when Nikola Yolkets is off the floor. And that happened again today. KCP was great. I think Bruce Brown again, gave really good minutes. Rihachi Mora gave really good minutes. Like again, on the defensive side when he was guarding Yolkets 101 and then waiting for the help. This is gonna be a well coach matchup. And I'm excited to see what each coach does next to see if this is gonna go seven. Is it gonna go five? It's gonna, whatever, you know, the lottery was today. Every single year for the past couple of years, I've been, I've streamed the lottery, right? Cause for the most part my team is in it. So I wanna see if we go magically win the lottery and get the first pick. And we had the year where we jumped up and that was to get Patrick Williams. I thought that maybe this could be another year. 1.8% chance for the Bulls. Ended up going to the Spurs. And I'm excited to Spurs fans. Like, cause earlier in the season they went poof. They started off super decent, right? I think they were six and seven to start off the year and they ended up being six and 17 right after that. We kind of understood what their agenda was. And I don't even remember saying this. Somebody tweeted me a video of after the Jamal Murray Trey because there are people out there critical of Jamal Murray Trey because not Jamal Murray, it's John Tay Murray Trey, my fault. Because he had another year left on his contract and you didn't get a single real player. He's got a lot of draft picks. And in my video when we were talking about these trades I say, hey, there's a dude in this draft class named Victor Wibanyama. I pronounced his name wrong back then but Victor Wibanyama and a 14% chance to get that dude is way better than whatever team you gonna put together with John Tay Murray at the helm. And somebody just tweeted me that video of me saying that. And I'm like, damn, sometimes can't even be spitting. You know what I'm saying? And here they are. They went through a whole season of just say, what was the brightest part? Jeremy looks cool. Zach Hollins looked good. You know what I'm saying? Like that was the highlight of their season, especially with coming off the Primo stuff and all of that. So for them to win the lottery, a good franchise, bro, a franchise that doesn't normally do this. That's why I don't think it's rigged. I just think that the basketball gods are in the favor of San Antonio because the low key to San Antonio Spurs, at least in the last 30 years, have tanked twice.  Now, of course, Vick still has to come to the league and prove that he's worth all of the hype. But it's happening. It's happening. And he looked excited on the broadcast. They have Brian Windhorse in France at 2 a.m. He looked dead tired and Victor's excited. You know what I'm saying? It looked like genuine excitement. Well, I don't know if we would have got that same response if it was any other organization outside of the Spurs. One thing that the Spurs have is that's a really good infrastructure, really good coaching obviously, Greg Popovich, who is he ever gonna retire? I doubt it. Good infrastructure, good coaching, they're ran well and now they got a legit, like we use the word generational talent very loosely in sports nowadays. According to what I've seen, this dude is a legitimate generational talent. I feel bad for Pistons fans after 17 wins and falling out of the top four. Like that is the worst case scenario. You know what I'm saying?  I don't know enough about this draft class, but some other guy that's not Victor Wibanyama. He might, he could be better than Victor Wibanyama if you do it right, but I guess I don't know. I'm excited to see what the trailblazer do with their pick. I think that was another little wrinkle because there were some rumors before everything that like they would be willing to trade that pick away to help Dane. And now it's a top three pick, you know what I'm saying? That's a valuable asset. It's not Victor Wibanyama, but it might be Brandon Miller or school Henderson who are two really good players. I'm at Brandon Miller today. I'm a fan now, you know what I'm saying? Like, I think he can be special in his league. So yeah, I'm excited to see what they do. And around the edge is the team that weren't in the top four but maybe right outside. I'm excited to see what they pick, you know what I'm saying? All right, well, I appreciate you all watching. I do wanna let y'all know I am going to Philadelphia for a couple of days. So if you don't see videos from me for the game one of the next series or game two of this series, that's why I'm probably on the road. I'll see you on the next one. We'll go.


Hey everyone welcome to today's day trading update today's Tuesday October 13th. Really nice green day today $1,753.25 was the total. Let's run through these real quick starting with trying to take a little runner in the S&P got flushed out took a little loss there. In the Nasdaq and Dow I did have a Paris trade that actually profited over $200 I ended up trying to take a runner in the Nasdaq as well got smoked out of that one a little bit so I took a loss lost there but my Paris trade overall was a winner. Bobba was my biggest loser 13-27 I'll go over what happened there nice winner in CMG nice winner in Peloton really nice winner in Roku my biggest winner and a really nice winner in Tesla and then a small loser in Uber so let's check out what happened today let's start on the future side on the Nasdaq so I was trying to catch a runner and it was a little bit later in the morning after after price held above in the positive territory I was looking for a continuation to the upside and I got flushed out and so ended up taking a pretty sizable loss there I did I think I had like five contracts on at that point so and I've taken a loss there yes that was just a small loser I was actually trying to take a short runner here and I got flushed out in this little spike here Oli Baba okay let's talk about this one this was my biggest loser so we started off the morning really good had this flushed down and we and we got long right here on a mighty 90 trade rode this up had a really nice winner and then was looking for a reversal so we got short right after we got out and it just it started to go down and then I just and just fired up and the one thing I did wrong here is is I definitely did not cut my losses short here so I took I took a big loss here that I should not have taken so that ended up being a over $1300 loser in Baba CMG this was called out by my boy David in the room he he got a glimpse of CMG running running strong and so when it started to consolidate above this pivot we caught a little bit of this and then a little bit later in the morning after it pulled back again I caught another little winner there so total profit in CMG 745 Pete on continues to be a great runner got in this one a little bit later in the morning when it started to consolidate here above right at the pivot and cut a little of this upside action right there Roku was my biggest winner so let's see what we did in Roku okay so Roku to start with we did have a little loser trying to get short after this big push I was trying to trying to catch a little little bit of a retracement ended up just getting just got out of the trade it started looking strong and consolidating here so we ended up taking a taking a long runner actually it was a mighty 90s setup right here and it just kind of went sideways sideways and so we we added to it again here and then I added to it a later a little bit later in the morning again here and that's when it that's just when it took off I held it all the way to here and then and then I was out so just really nice runner there in Roku and then Tesla let's take a look at Tesla so I was watching this and started to consolidate after this big push and I did not I missed this entire run up and then I actually took a break and so I actually took this trade a little bit later in the day it was a little bit afternoon so Tesla look made a big push here went negative on the day and then immediately fired up and then and held in positive territory and so I took a long position caught some of that pulled back and then I entered again and caught some of that so really nice trading overall plus $1,753 and 25 cents on the day if you guys have any questions let me know we'll be in the room same time tomorrow morning see you then