Hi, everybody. Good afternoon. If you're from Paris, raise your hand. Good. Hi, Eve. Got to think a couple of their presions. Welcome. Davion said, very excited to be kicking off this panel. We have this title. Let's see when they're going to put it on screen, which is from Insanity to Ingenuity, Seven Practical Tips for Navigating the AI Storm in D-Bass for Evolution. Or we could say, not another AI talk in KubeCon, the alternative title. Good, good, thank you. Yeah, feel free to applaud, all right? Give yourselves a applause. But for real, there are 13,000 people attending this conference, and we've been receiving a lot of information about AI. But I think it was actually yesterday in the keynotes that one of the speakers said that they only heard about Kubernetes for the first time a year ago. And we all know how easy it is to learn Kubernetes in a year, right? That being said, I think our community has a lot to show to the AI community, which is why we have an amazing panel with us today. We have Lisa, we have Joseph, we have Monica, and we have Eddie, all coming from different backgrounds. I'll have them explain that in a minute. We really want to be practical here, right? The idea is, we're hearing there's lots of hype, there's smoke and mirrors, there's some BS, there's lots of other adjectives that we could use to describe it, which is why I wore this chili pepper shirt because we're going to be having some hot and spicy takes on AI. That being said, before we get started, I would just like our panelists to introduce themselves. Lisa is one of my friends and mentors in the CNCF. She's the reason I became an ambassador, and she put this panel together. So I want to give her a round of applause before we get started. All right? Well, Lisa, can you introduce yourself first so we can get to more of the content in the panel? Go for it. Thank you, Bert. And thank you, everybody, who kindly said yes when I only had to make one phone call all the way around. So I was so excited because this is a group of absolute experts. And we do a lot of things in the community. I run the San Francisco Bay Area really large user group, cloud native platforms. It's currently called. I change the name a lot. But big meetup group, CNCF user group in the Bay Area. And I've been running that for over 10 years. And so I ended up becoming an ambassador about, I don't know, four or five years ago or something. And I do a lot of meetups. And since last October, I think every meetup I've run has either been on AI or on platform engineering. Because does anyone want to talk about anything else? And just listening to all these conversations about AI at the meetups really made me think, OK, we need to kind of herd some cats here, get some stuff together, have some really focused conversations. And so I called some of my favorite people and said, let's have a great discussion about AI. Because we were having hallway discussions about this. And I was like, this needs to be on a bigger stage. So I really appreciate you all coming to this. We will leave a little bit of time for questions at the end from you. But I'm Lisa. I'm from the San Francisco Bay Area. If you want to attend one of our meetups, you can hit me up on CNCF Slack or LinkedIn. And I would love to get in touch with you. So I'm Joseph Sandoval. I work for Adobe with the Ethos team. I'm a principal product manager there. And the things that fall under my purview are things that are related to just Kubernetes as a service, as well as like traffic engineering and our API gateways. And like all of you, they're maybe trying to grok what's really going on with this, how to get started. I'm pretty basic. So hopefully I'll give you some strategies and ideas of how I'm looking at these things with our platform, where I think opportunities are at. And hopefully there's some insights that you could take away. Hi, I'm Monica. And I'm founder of SATA. And SATA is a database. And our goal is to make it easier to use. And we are building a solution on top of Postgres. And basically, the tooling that our users need to make it easier to use and manage and scale it in production. Before, I was in a monitoring space. I was at Elastic, the company behind Elastic Search. And happy to also share any thoughts about open source that I have quite a bit of experience in. Thank you. All right, I'm Eddie Wasif. I'm the resident cowboy here on the panel. I'm from Dallas, Texas. I'm the chief architect at Vonage, which is part of Ericsson. So Vonage and Ericsson, a lot of people don't really know that we're still in business. And we're actually doing a lot of cutting-edge stuff. And what my role is over at Vonage is making sure that we are seeing what's out there, making sure that our communications APIs and our platforms are up to snuff, making sure that we take advantage of the latest and greatest technologies and presenting it to the company so that we can make sure that our communications and all of our services are available. Kubernetes Fanboy. And I'm really, really thank you for inviting me up here. I'm really excited to have this talk and hopefully take some of your questions. All right, Eddie. So you mentioned some of the stuff you're working on at Vonage. When it comes to AI, what are your concerns? And what is the potential value that you see that it might add? Absolutely. So with AI in general, there's a lot of concerns around where this data is coming from, whether there's any bias one way or the other. And then whether or not when we use AI APIs, is our data going to be leaked? And I think that's probably a common concern that a lot of people have. How do I use AI to enrich my product without giving away my customer's private information? So that's probably one of the biggest concerns that we have. On the other side, we're seeing AI being used, building our products, building our operations. And again, where is that bias coming from? Is it going to be a little bit too eager? Or is the standard a little too high or too low for our products or applications that we're using? Fantastic. Joseph, in the case of Adobe, regarding concerns? I mean, there's always concerns. The great thing about working for a company like Adobe is that we have been really early adopters. We're seeing it across a lot of our products. And so it's exciting to see because I think it's a real democratization of some of the tools that have sometimes been difficult. Now, as far as where I'm at from a platform perspective, I mean, we're looking at ways to use it to optimize. But you have to really give it some thought. And I think yesterday during the keynote, Paige Bailey I think has really put out some really good guidance. And some of these things are just like, are we in a race to implement these things? Well, a lot of us have been technologists. And we've gone through a lot of these journeys, whether it's through automation tooling, even Kubernetes. And just because you can, I mean, yes, it's great to experiment. But I always kind of advise, start with the easy things. So even in our case, we're looking at areas where from a platform perspective, we're using it for support in our bots. Can we optimize that user experience for our developers who use our platform? And I think the other areas that I look at immediately is a lot of us who maybe have the persona of an SRE or you're some other person that's in these environments where you're supporting, you know, you have runbooks. Like in just these things into an LLM, you can optimize a lot of that tribal learning and start creating that. And that I think builds that trust that you're going to need. So there is concerns, but I think there's safe ways to kind of get started. Really like that. And I like how you mentioned the point too, but we've seen other challenges is not the first one. And on top of thinking the stakeholders and the personas, Lisa and I got to know each other. Have you ever heard of the data on Kubernetes community or do you okay anybody? Well, once upon a time, this was a significant challenge, right? You should not run safer workloads on Kubernetes with sort of the status quo. And in 2020, I started leading that community and led it for three years, which is where I met Lisa. Lisa, I'd like to know, you know, based on your experience seeing people coming together in a vendor-neutral environment, something that's often provided in context such as the CNCF, open source in general, when we're approaching this topic of AI, what are the things that you've seen worked in terms of communities tackling challenges, in terms of strategies, ideas that could be implemented when it comes to this topic of AI? It's all over the place, which is why I put this panel together. I think Joseph just mentioned LLM's large language models, which actually makes me tempted to change my name to Lisa Lisa Marie, so I could actually have the coolest acronym, first name on the planet right now and be super trendy. I know you're a music fan from the 80s, so you get that reference. But yeah, no, it's an important conversation. I think what I'm noticing is it's still early days. There's a lot of people that have tried different things. When I put this talk together, I actually used zero AI to write this abstract, and I was told later when the talk was accepted from the track chair that it was a differentiator for me because I didn't use AI. It actually made the talk more unique. It showed the individuality, like the problem with AI when everything is crowdsourced is you're getting basically what the crowd, and so I would encourage a lot of people, I don't know if this applies to writing lines of code, but it applies to a lot of other areas. Maybe don't use AI for your first draft, maybe write the first draft and use AI to enhance and to edit because most people right now are doing it the other way around. So apply that analogy to whatever you're using AI for, and just I am still encouraging people to think it through because I've heard a few horror stories. I think, I hope Eddie talks to us later about sovereignty and where the data is coming from and where it lies and how much that freaks out some of our end users here. But I think we're still early in the conversation and I think the reason we call this seven practical tips is because we want to make sure that we get more tangible with these conversations and that we really focus on, there's too many open-ended things, like we're going to talk about open-source in a little bit and that's a super hop topic that is still very much debated. But I think as much as we can narrow this down and talk to end users and say, what problems are you having? And these are the stories I like to showcase in our user group. What did you try? What broke? What did you do to fix it? And then share that knowledge with people, that's what's resonating the most right now. Fantastic. Monica, in your case, what are you and your company trying to get out of AI? What are you hoping to get out of it? Yeah, that's a very good question. And I want to start by, in the last years I was, in the last year I was going to different events where there were like VCs, venture capitalists and basically the biggest advanced advice that they give to companies is you need to have sort of AI, introduce your AI in your product, even if you are a B2B or B2C type of company, in order to survive, you need to have a different way of providing, introducing any AI capabilities in order to make it easier for your user to use it or to kind of have a different approach in order to differentiate. So AI is a big thing, especially in early stage companies. And for us, actually, I think AI is a very important part in order to really bring and make it build really better products. And this is, for example, in our case, we can really build a database that it's easier to use and we can really differentiate from all the other competitors. I think AI, for example, can help our users with giving advice when to introduce an index, for example, when there are slow queries. It can help you, for example, to give you advices how to change your configuration. It can give you different changes that you can make on your schema and how this can affect your production. It can, for example, also generate the data model by using the prompt. I think there are so many things that you can do with your AI, and I'm really excited because for us, it really helps us move fast forward and also reach the goal of the company in building a database that is easy to use and change the perception that users have with databases that are complicated, difficult to use, difficult to scale. And for us, it's an important aspect of the company. Great, and I liked how you mentioned the dichotomy of the VC pressure to mention AI at all costs, and if we walk around the solution showcase, we'll probably see quite a few organizations that are maybe pumping that message as well. But then, like you said as well, the positive side of things that can be helpful to make people's jobs easier. And I'd like to know, in your opinion on this, is it a blessing or is it a curse? Are there tool sets that are gonna enable developers, DBAs, to do their jobs better? And are there any things you can mention specifically in Vonage that are happening right now? Sure, I mean, I can give you my insights on that. Whether or not I can give you details about the company, I don't know, I'll probably... There's an NDA that might disagree with you. Yes, yeah. But, you know, it's interesting. I saw, and I know most of us are on Reddit at some point, but there was a really funny meme that said, developers in the future and it had a sign that said certified organic handwritten code.  But a lot of the things that I see that are valuable for us is, you know, like Monica mentioned, being able to give that opinion based on kind of where you're going, making the recommendations. Hey, maybe you're going down the wrong path, right? Maybe you need an index here. Maybe your data model is going to cause, you know, issues and friction in the future. What we're really seeing or what we're focusing on in the beginning stages, you know, to Joseph's point, is we're looking at the easy things. We're looking at the code gen, looking at the log analysis, the anomaly detection, things that can help us build our product in a more resilient and scalable way, versus directly going into our product. Now we're still looking at incorporating AI into our products that we deliver to our customers, but that's a little bit more, you got to make sure you've had the quality, you got to make sure you're taking care of the biases, you got to make sure all of our eyes are dotted and our T's are crossed. Primarily, we're looking at things like K8's GPT, we're looking at tools around trace log analysis, we're looking at a lot of open source, maybe whether it's licensing or whether it's vulnerability analysis and where these things can affect us. And so we're looking at some of these tools early on before it really gets into our IP and taking that and feeding it back to the developers. So it's a huge world that we're seeing and we're trying to take into the things that are going to help us without exposing us too much. Just want to follow up on that? Yeah, I think very similarly, I think maybe a few of you have caught this at the conference, but there's some interesting projects like LLM, Minetease, which one of the first use cases it has is like you can do chaos engineering with it, which if you're doing chaos engineering, the intent behind it kind of aligns. Other things like I think last year, and this is kind of where I started really started thinking about this even from a platform perspective when we were in Amsterdam, we started to see like chat GPT dropped and there was companies like Kubea and you see other companies where they were coming in and they had done a lot of the work around early on with guardrails. And I think you can also make that decision of, you don't always have to go it alone. There may be an option where you may think about where maybe that may be a good option, a more by approach to some company that's really been in that space so that you do things that it's in a non-destructive manner. And there's a lot of guidance as well. So one thing I didn't mention earlier is I'm a member of the CNCS end user technical advisory board and closely working along with us is the team that since Chicago QCon, they have released now the AI land, a white paper as well as the landscape and really it's just a starting point. And I think a lot of us are all on this journey and there's some things that are not fully open and available to us yet. So we're really in a nascent time where a lot of us from a community perspective can lean in, can help to provide some of those insights that are gonna help so that we can find those safe entry points. But I think overall, just like Eddie was mentioning, we're trying to find areas where it's done in a way that can we save time? Can we move toil out of a lot of the work that we're doing? And I do see those opportunities. KGPT is a good example of that where a lot of times we have just so many, like, well, tickets come in, needing more information. And when you could have that query Kubernetes and just do a read to find the information that you may close the gap, shorten that mean time to resolution, like, I think those things are really highly valuable from that perspective. I think, I mean, most of you here in the audience are engineers and we also, I'm trying to question ourselves how our jobs look like with AI in a few years. And you know, there is already, it might be that there won't be any software engineer role in a few years. You know, there is already AI software engineer that was launched recently. So I don't know. I mean, putting the joke on the side, I don't think that will happen in my opinion. I think AI will be just a co-pilot for software engineers a way to make their job easier. So I don't think the AI will replace completely the jobs that the software engineer job. I also think that what AI, in my opinion, will bring is that, you know, because the tools will become more intelligent and it will make it the life of the developer will be easier, depending the developers, platform engineers, SRS and so on. I think it will be easier. And I think the trend will be that the big difference will be that in the future, I assume that you will be able to run and build a company with less resources. And you know, instead of hiring 100 people to build a new product or, for example, a database company, you will need less resources. And we still see this nowadays, you know, there are companies that have 10, 20 people and they are valued one billion. And I think with AI, that will really move faster. So when I started CEDA, actually, I was thinking, I think this is a future where you will be able to build a company with less resources. How can we make this, how can we start now in order to be there in five years in order to kind of go after this trend? So that's kind of the initial idea. But yeah, I think on, you know, putting the joke on the side, I think, you know, there will still be software engineer roles or engineering roles because someone needs to train those models, someone needs to use those models. And you know, there will always be new tools that we need to have. So I think definitely maybe less job, like the amount of jobs will be maybe less than it is now, but I still think that there will be a component. So that's my, if you want what I think the future will be. I absolutely agree with you that the job will still be there, but I think it'll be significantly changed because it's the ability of the developer to use AI to their advantage. I think it's going to probably reduce the number of developers that the world has maybe or needs, but also it's gonna be a differentiator of how well they can do their jobs, right? If you can use the tools at your disposal to build a better React application or a Kubernetes operator or a database as a service, that is going to be a new skill that's going to be needed for the software developer starting last year. You know, you've heard 10Xers, right? Or the unicorn, now it's a reality. I mean, a 10Xer from, you know, what we called a super developer last year, they can do that with Copilot. They can do that with some of the tools out there today and then that's just gonna raise the bar. So I absolutely think it's still gonna be needed. I don't entirely agree with the NVIDIA CEO that said you're never gonna need to learn to code. You're gonna need to learn to code, but you're gonna need to learn to code and how to use AI to your advantage in all aspects. Now, one of the things we wanted to talk about is in terms of what AI can learn and benefit from in terms of what regarding CNCF can offer, talking about open source standards, open source licensing and governance. Lisa, you wanna start out with that? I'm glad you asked this question.  It's kukrash.io and we're about to do our fifth one in April, April 24th, it's virtual, you can all attend. And we focused, over a year ago, we did one of them on AI and ML and also Zero Trust and we started talking a lot about security elements around AI and there was a lot of fear and that part of the conversation hadn't gone far enough yet. A year later, it really, it's there, but what I saw at AI.dev in December, that's a Linux Foundation conference, if you're not aware of it and they're doing one in Paris, I believe, pretty soon, so you should all go and then there's gonna be another one back in, I think Seattle's the next one, but we were at one in San Jose in December and there was a lot of talk about how open should AI be, how open source should AI be and of course it's a Linux Foundation conference and so there was a lot of advocacy for it to be very open source and then there was a lot of talks about, well, wait, wait, wait, wait, wait, we don't have the standards in place, we don't have the structure, what about the governance and a lot of fear and so I think we're still not even in the middle but in the beginning of these conversations and I just had a hallway talk with Liz Rice about this very thing and it's like, yeah, we can try to talk about security and how are we gonna get biases out of the code and things like that but I think if it's going to be, if open source is gonna be a big part of it then obviously you need licensing conversations, you need standards conversations so I think we're just in the beginning there but what I'm really curious about is as a company, as an end user, as a consumer of this technology, how much do you care how open source this all is? I think all of us do and I think we're touching on I think quite a few things here and we're here at an open source conference, we all really believe in it, a lot of us have been in this Kubernetes journey for quite a while and being in San Francisco and especially as watching the last year, there's a whole other ecosystem that's been grown and what is considered open there is probably not the same definition of what we probably define it as, is there concerns there is and then as well as kind of like the ethics is some of the things I think about like how these things are trained, the foundational models aspect of these things, we look at it, you can obviously see there's been lawsuits that are related to like some of the information, as I can say in the model, you gotta be very cognizant of that so I think that's where open source will be very interesting. The one thing great about the EU is like as far as like privacy and information, the EU has always led the United States and I think my hope is that there'll be more questioning around that because I think it's, yes, the open source aspect of it, what is that and what does that license look like? But then as well as kind of like, what data is being used? Is it's copyrighted things? These are the things that I sometimes think about and we wanna make sure that those things are respected so that's kind of where areas where I think are gonna be important and the community could play a key aspect. Monica, would you like to comment a bit about what we once considered open source code, open source project, as opposed to some of the things we're hearing about in the AI ML space? Yeah, I think it's important to acknowledge that what means an open source model is not the same with an open source code. So if you have, for example, a project that is open source, what this means is that you can go read the code, understand the project, what it's doing and for example, be even able to fork the code and like do your own because you kind of learn from the previous project with open source model is different. So what means an open source model? Basically, you get the weight and what this means is that if I give an example, the grok from XAI basically is three gigabytes of float numbers. So it's not very similar, right? If you understand with an open source code, you just get float numbers and basically this is something that you can just play with it and see how it goes for your own needs. But you have no idea about how this was trained, what kind of data were used. So if you want an analogy is to me, an open source model is similar with having a project that is not open source and you just download the binary and you can try it out but you have no idea about this, like how this project was built before. I don't know, maybe there are lots of discussions in the last year about open source and AI and I think maybe that will change. There are some companies that believe in open source from the AI, from the top AI leaders and some are open source, some are closed source. I think I'm kind of curious me personally to see how this will evolve the open source aspect of the models. Yeah, you know, it's really interesting, Monica you were asking something in the previous comment around VCs pushing everyone to kind of have some AI flavor in their products and I think that's causing companies to just rush and do it. And I think open source will be very helpful to let companies experiment, especially when their legal or compliance says hey, you're not shipping this data out to an API. So they can now put it on their systems and it may not perform, it may not be the best but it's something that lets them experiment and see actually how can you use API, or sorry, AI in your systems. And I also think there's a bit of confusion, like this is the big data or the blockchain of today. AI has been around for a while, there's narrow AI, there's general AI, now there's generative AI, these are all different flavors of AI. And in the data world, for example, we've had narrow AI for a while where it would look at the behavior and recommend indexes, right? That was a very specific AI that existed for that product. But everybody is really intrigued with generative because they saw a chat GPTK into an open AI. But when you think about the value that co-pilot took, which is especially the one on Bing, let's say, the free one, they know who you are, they know your search and they've got the internet to add to it, that's adding more value. And companies are like, well, I gotta do that too. I've got data, I've gotta figure out a way to get it out there. A lot of times that causes data leakage, that causes issues, and I think the ethical part that you mentioned, Joseph, is very important. And I hope that more and more companies that push for open sourcing are going to force the standards, are they're going to force looking at these models, figuring out where the biases are, figuring out a way to identify biases. And we've seen that evolution from the beginning of when they just generated something to generating it, giving you the sources that it's using in the generation and also the reasoning why. So that was something that the community pushed. And I think some regulation had something to do with it. But ultimately, it's up to everybody here to push your companies, push your regulators to say, look, we see the value, we need to show where the problems can be through open source contribution, through open source usage, through blogging and talking about it like we are, to really bring that to fruition. Because it's a tremendously powerful tool. I can't live without it anymore, to be honest. I get these long emails, I send it to chat GPT and tell me just summarize it please, right? And it doesn't, right? I can't live without it anymore. So that's where I see really the open source aspect, the ethics about it. It's really just starting and we really need to be the driver behind it. Great. Now we're getting towards the end and we're going to have a bit of time for questions. So I want to hear though from you, Joseph, first in terms of what's going to be your next AI step? What's the next step that you're going to be taking regarding that from a Kubernetes perspective, from someone who's very active in the CNCF, the work that you're doing, what's going to be happy for you in the next few months? I mean, I think like a lot of us, it's still a time of experimentation, but safe experimentation. I'm always looking, as I was mentioning earlier, for ways to really improve the user experience. Even last year when I really started to kind of grok what was happening and what potentially you could do with generative AI, I was like, this could potentially be, and this is a product guy, so I'm thinking of like, this could be a user interface that I can use to maybe take some of the friction around a lot of the work that we do with some of the assets, because we're a very GitOps type platform, and could we use this as a way to kind of help ease some of the pain of a lot of the PRs we're cutting, have some validate, do a lot of these things. So we looked at a lot of those things initially, but then I think we took a step back and said, let's look at the areas that we could really help our user with support. And so that's kind of, I think, I see continual experimentation there. Now, long-term, I definitely see this evolving. I see there's a lot of opportunities in the observability space to really find those needles in the haystack. And to me, that's the other areas where I think it's gonna be a real game changer and to help improve some of those experiences of things like open telemetry and all these areas where you have so much inputs that how can I find these things that are very difficult for someone on the team who is managing so much infrastructure as we scale? So that's me from a more pragmatic perspective. Monica, what about you? What's next? I mean, I think I want to say the same thing. We are in an experimentalization period of time. So we kind of try to figure out how we can leverage AI more in order to build a easier database to use for people. So... Or are you going to become a VC? Yeah. Yeah. Yeah. I think it's interesting. Yeah, I don't know, I mentioned this and now you're always saying, but I think technical companies like B2B, but companies that are building something technical, they are easier for them to adopt AI. But I think for me, this advice that the VC gave is usually the way happening is that all the VCs have the same advice for their companies and regardless of the type of the companies. But I saw companies, B2C type of companies, struggling and asking around other technical founders how they should integrate AI in their product application that they're exposing to their users. They are not very used with AI. So I think that's interesting. All right, for me, I'm going to go a little bit out there. I want to build the computer from the Star Trek Enterprise where using generative AI to create API calls. And I know you can program it, but I wanted to learn to read our documentation, be able to generate an API call and do it. Because how cool is it to ask a computer to do something and then say, go set whatever parameter on whatever system and it knows how to do it. And using the Gen AI, I think that'll be a really cool feature where you can just talk to your computer like you do Alexa with any API and it figures out how to do it. Let us know. That could become another talk. That'd be great. Absolutely. Getting an excuse to get together. Lisa, you organize this panel and think it's fair you have the final word. We are going to take time for questions. Of course. We've got the five-minute sign, so we saw that. Thank you. Yeah, I'm just excited to see what we build. I mean, I love this community because I love the way we approach challenges, right? I mean, you and I both lived through the era of you can't run anything stateful on Kubernetes and I just spent the last six years at two different startups running lots of state on Kubernetes, big applications, Cloud Native Storage, a database company that I was at for the last three and a half years. So I love the way we solve problems and really it's the user community that pushes us to solve these problems. You know, I've dragged lots of companies, Dreamworks, HBSC on stage to talk about what they built and when at the same time someone's next door saying you can't do that, don't try that, you'd be silly. So I love this community. I love to see how we're going to tackle this problem and I think we really just need to keep in mind how are people trying to use this? How are, you know, let's talk to the people that are running stuff to see what is really breaking and those are the folks. I mean, you and I have had so many conversations about government standards and what like insecurity especially and how that's going to dictate how you build things and that's not always things that we think about. You know, we're so narrow focused and when we're on a certain project or in a certain part of this ecosystem, we don't always spend enough time talking to our end users who are thinking about every single part of this. So I just, you know, keep those conversations happening. I'll keep showcasing them and I'm just really excited to see what we build. Yeah, I think a lot of this comes down to the fact of seeing the different opportunities where people can get involved, where their questions can be addressed, where their concerns can be taken care of and in the same way that you do for Kubernetes or whatever open source projects that you're working on to treat the subject in a similar manner and not fall in, you know, be a victim of the hype and some of the more negative things we may have mentioned previously. That being said, I think we can open up the time now for questions if anyone has one. There's microphones in the front. So was that Romero? Yeah, just right there, there or there? My question's really quick about licensing. You talked about co-pilot, large language models that are, you ask it to generate a piece of code. It gives it to you. A lot of times that data is gonna come from sources that have many different licenses behind them. From a compliance legal or risk management standpoint for large enterprises that are deploying this, what's their risk exposure and how does that get managed in an open source community that's trying to advocate for the use of this software? Not all at once. So that's actually a really interesting question that's come up a lot, especially around co-pilot. And it's one of those things where it's like, well, developers can go to Stack Overflow or GitHub and copy the code. Now they're just able to do it a lot more efficiently, a lot quicker. Is that okay? And you know what's a mixed bag, right? There's a lot of, it's still very early, I think Microsoft and GitHub are doing a great job at at least letting us know where the data is being processed, where it's coming from. That helps a little bit, but it's a new frontier, right? And you have to make the decision for the industry and the company that you're in, whether or not that's something that you are willing to take on, whether you think that it's going to be a breach of any kind of copyright or not. But for the most part, it's very early. I think we're getting a lot of the tools from the vendors. But at the end of the day, just like anything else, you gotta make the decision for you and for your company. Thank you for the panel. It's super interesting. On the topic of hype, I would like to hear your thoughts on the role of CNCF on AI. I live in San Francisco. There are two very different ecosystems. Do you think CNCF should care about AI or is it just driving with the hype? You're in San Francisco. You see the same thing I see. Like I don't think people realize how huge it is in SF. Like I hear that this whole perception, the Gen AI collective, Lane Space, like there's a lot of events happening. There's a whole world happening. I think if we don't focus on it, and I think yesterday was a great look, look where we went from Chicago when we were talking about on this keynote stage. So where we were at with Kubernetes versus like what we had yesterday. So I think the focus is there, but there's more work to be done. But that community is huge and it's a lot different to be. So I think there's alignment and I'm excited to see how we continually like work together. I'd like that as well. Absolutely CNCF should get involved, right? Because if we look at what it did with Kubernetes, it took a project and it beat all the incumbents because of the community behind it. It's an unstoppable force. And if we really want to make sure that the ethics is taken care of and the open sourcing of the algorithms, it has to be driven by the community. And so I encourage everybody to do so, everybody to get involved, start talking about it, learning about it and let's get the CNCF on it. Last thing, if anybody can please take a picture of our names with us and send it to my LinkedIn, I'd love it. I've never been on stage like this and it's really exciting. Thank you very much.


Royal Development and Agricultural Extension department realized that classroom learning or campus learning is not enough for Royal Development graduates in Ethiopia. The department is putting further attempts to strengthen the field-based practical teaching and improve professional competence of its graduates. The needed professional skills can be imparted only when students are exposed to practical teaching and make them stay in the village for some time and get exposed to livelihood surroundings and lifestyles of the rural life. There are no substitutes for learning by being part of the real-life situation. To improve the productivity of the agricultural sector, the country designed the economic strategy called Agricultural Development-led Industrialization, which has been seen as a long-term strategy to achieve faster growth and economic development. Achieve the desired goals of the country's agriculture, skilled and competent human resource in the field of Royal Development and Agricultural Extension is very crucial. To this effect, the Department of Royal Development and Agricultural Extension is strongly working on to produce competent and dynamic graduates. There is no doubt that all these efforts contribute towards the agricultural development policy and food security strategies of the country.


SCP-6106 Bibliophobia was written by DXVI. You can find it on the SCP wiki and a link in the description. It is under a Creative Commons share-alike attribution license. Item number 6106 Containment Class, Keter, Secondary Class, Uncontained, Disruption Class, Blom, Risk Class, Danger, Special Containment Procedures. SCP-6106 is currently uncontained and its whereabouts are unknown. Alexandra AIC is to scan the Foundation database daily for SCP-6106 manifestations. All Foundation librarians and archivists should be instructed in the nature of SCP-6106. In advance of containment, an isolation chamber has been constructed at ground level at Site-19. The chamber is a hemisphere of radius 20 meters with a safe fixed to the ground at the center. If SCP-6106 is contained, it and its host medium are to immediately be transported to the isolation chamber and locked in the safe. Security cameras are to maintain unbroken line of sight of the safe at all times. No text media or computer equipment of any kind are to be brought within 100 meters of SCP-6106 at any time. Until SCP-6106 is contained, Foundation librarians and archivists are not permitted to consult Site Archives alone or out of Site of Security cameras. Foundation archives must remain well lit at all times. Description SCP-6106 is an ambush predator of indeterminate mass and shape. Its hunting method is to change its shape to camouflage itself as a piece of text, usually an additional page in a book or web page on a website matching the style and voice of the host medium. It then remains dormant for an extended period of time until a victim reads SCP-6106. If at any point a victim is left alone and unsupervised while reading SCP-6106, they will be suddenly and swiftly devoured by SCP-6106 and the victim's body will disappear into whatever medium SCP-6106 is inhabiting. Without exception, no trace of the victim has been left after an attack by SCP-6106. SCP-6106 displays at least some sentience, although the extent of its knowledge and understanding is uncertain. It has never been documented to attack anyone who was accompanied or otherwise under visual supervision. If observers express suspicion about SCP-6106's hiding spot or if it determines that it will have better chances of finding victims elsewhere, it appears to leap or escape into a nearby suitable host medium. For example, it may enter into a neighboring book or leap from a book to a computer or vice versa. It appears to be able to leap up to 10 meters. The greater locomotion cannot be ruled out. The text SCP-6106 adopts as camouflage is invariably highly informative about SCP-6106. For example, when it inhabited Wikipedia, it appeared as a clear and helpful article about SCP-6106. While in Harry Potter and the Prisoner of Azkaban, it appeared as a care of magical creatures lesson about SCP-6106 given by the character Rubius Hagrid. There are currently two leading hypotheses for this behavior. Its self-referential text is analogous to coloration in a nonanomalous animal. In other words, SCP-6106 has no control over the process and it simply looks like a description of itself, or SCP-6106 is not merely sentient but sapient and enjoys taunting its victims before consuming them. Notably, the camouflage is so informative about SCP-6106 that it routinely includes information that would be unknown to the purported author of the host medium such as detailed facts about its whereabouts and history. While this feature could allow an observer to detect SCP-6106 by its anomalous detail, its main consequence is that a piece of text with a helpful and informative description of SCP-6106 is likely to be SCP-6106 itself. However, by the time the reader realizes this...


Hi, I'm Ty Davis, type of marketing at GitLab. Most DevOps tool chains are complex and are coupled together with different tools and integrations to try to make an end-to-end software lifecycle work for that organization. At GitLab, we have a single application that includes all the capabilities and requires no integrations and helps organizations go from end-to-end idea to production with one single application. With source code as a starting point to GitLab being a single source of truth, the capabilities expand beyond version control systems that does everything from project planning and source code management to CI CD, monitoring and security. GitLab enables portfolio planning and management through EPIX groups, iterations and milestones to organize and track progress. Regardless of your methodology from waterfall to DevOps, GitLab's simple and flexible approach to planning meets the needs of small teams to large enterprises. GitLab helps teams organize, plan, align and track project work to ensure teams are working on the right things at the right time and maintain end-to-end visibility and traceability of issues throughout the delivery lifecycle from idea to production. GitLab helps teams design, develop and securely manage code and project data from a single distributed version control system to enable rapid iteration and delivery of business value. GitLab repositories provide a scalable, single source of truth for collaborating on projects and code which enables teams to become productive without disrupting their workflows. GitLab helps delivery teams fully embrace continuous integration to automate the builds, integration and verification of their code. GitLab's industry-leading CI capabilities help enable automated testing, static analysis security testing, dynamic analysis security testing and code quality analysis to provide fast feedback to developers and testers about the quality of their code. With pipelines that enable concurrent testing and parallel execution, teams quickly get inside about every commit, allowing them to deliver high-quality code faster. GitLab enables teams to package their applications and dependencies, manage containers and build artifacts with ease. The private secure container registry and artifact repositories are built in and preconfigured out of the box to work seamlessly with GitLab source code management and CI CD pipelines. Ensured DevOps acceleration with automated software pipelines that flow freely without interruption. GitLab allows for security practices to be enabled at the creation phases of the project, increasing resilience to external attacks, internal threats and ability to resume activity promptly. GitLab incorporates several security capabilities to make development more secure even before build happens. They could detect secrets and license compliance issues, find vulnerabilities in source code or in its dependencies before merging and find vulnerabilities in running apps before merging as well as containers. These capabilities can even reproduce with thousands of users' input and seconds to detect faults and other issues with Fuzz testing. With zero-touch continuous delivery built right into the pipeline, deployments can be automated to multiple environments like staging and production and the system just knows what to do without even being told, even for more advanced patterns like canary deployments. With feature flags, built-in auditing traceability, on-demand environments and GitLab pages for static content delivery, you'll be able to deliver faster and with more confidence than ever before. GitLab looks to provide feedback that decreases the frequency and severity of incidents and improves operational and product performance. Source code management is more than simply tracking changes, versions and branches of code. The ability to connect every phase of the software development lifecycle is in one single DevOps platform via one data later, one design system, one set of commands to manage all the different stages of software design, development, build and deployment gives an organization a resource like no other.


till I was Who's that? That's me We are on Twitter we are not live, but you can leave a like comment subscribe Turn on your post notification bells. Now. Let's continue to grow the family from Chicago to the UK And all around the world because you know, what's the most watch sport around the world? Football Football Then we're gonna get into that today After I've been dedicated to search for something I can react to man That's why we're gonna take it to kick and we react to react to full blown highlights in a minute Don't get we do got the patreon tomorrow is movie or Sunday is movie day today. We drop Friday night dinner We drop Monday through Friday Different show every day and then a movie on Sundays if it's requested don't forget we do have the discord as well down below and Yeah, this page behind me if we are live and you miss it It'll be up here. Let's get into this man. Genius plays in football 2023 This is Lorenzo F7's page He's a Lorenzo F7 whoever you are.  You did it. I don't know how you do it, but you did it This is some of the hardest stuff to react to so Not because I don't understand but because they're not letting you but I'm here now To be running full speed and do a fake kick Like imagine how strong your ACL MCL Patella got to be in that left knee Like he damn near planted and fake kicked and kept running Belgium is simply First of all, there's five to four people right here Set him up nasty to pivot Before I really paid attention to soccer or I mean my bad foot football I thought they was kicking these in these spots on accident like or by luck like not they really be I Can't put bumper ads, right? I feel like you can really relate the dribbling and football to the dribbling and basketball Because it's all it's all about like Selling it you got to sell this move You got to really sell that I'm gonna do this and then completely do something else Like you feel me Grace Did it hit off his head And goalie is out of let me know if y'all agree or what y'all think man is I think me personally I think being a goalie is the hardest job in soccer football football my bad Like your reflexes got to be something crazy Angle lateral speed I Could do that See I'm talking about it's just like a lot of finesse Looking for any Who is this is this a person or Those are females too Look at the passing do the legs her own teammate was damn near not ready for that That's three goals. He scored three goals in seven minutes. That's that wasn't what I'm here I have to say it this should look more impressive dribbling on a foot on a football Field than it do look on a basketball field Because you also got to run with your feet and kick the ball at the same time and sell it You know what I'm saying and basketball all you got to do is Sell it and dribble with your hands. Yes, you're running but hands and feet are two different things You got to do everything with your feet. This is crazy This right here. I think he just got a new contract, didn't he? I think I just seen something not impossible reflexes. I'm pretty sure he works on that every day somehow They profession y'all look at him He's standing there like Did he really just do that to us? Yeah all three of y'all buddy It's just the premier league that don't be letting you watch highlights Because I have any of these highlights been premier league. I think I've seen maybe one or two He wasn't even trying How many knee injuries are there in soccer like per year, which I'll say Like give me a rough estimate because the way that you've got to stop In the way that your body like legs are bending is crazy It wasn't that crazy. I could have probably did that no disrespect. I'm just multi talented like my reflexes is crazy Let me give you an example yesterday.  I tipped it up in the air caught it See I'm saying like I could easily be a goalie And one of the hardest leagues there are whatever that one is At that kind of goalie where it gets called scored on the one that Block stuff you had a 70 inch vertical that you know a hot selection of homes for sale right now through This speed strong knees It was broke his back of a team screaming goal. I'm not gonna lie when it comes to the sport of football I'm very ignorant. I don't know what team is what what colors what what nothing I don't know if he was able to tell that by the way I was talking and I was so educated On what was going on with dribbling and And flexibility and what not and things of that nature, but yeah, you know what I'm saying But mentality he was in Kobe like that. He was he was I'm not passing it. I'm trying to get real Kobe-esque RIP White team kicked the ball so hard. Watch this this guy right here above my head. He's gonna kick this ball so hard That this guy right here that's on the floor.  Look at this Oh, it wasn't him. It was him. Okay him Turn this whole body the strength of the kids It's just been his momentum, but I'm gonna give some of the credit to the kick the strength of it Crazy Netflix and chill moment and what not things of that nature pause I've had to miss and he got number 10 or 10 is my favorite number. I wore that all my life Of course word number 10 is that's like, what's up with that in football? Football Do y'all see the crowd in the background?  Look at this a lot of Premier League now I'm not sure I could be wrong. I've definitely thought I've seen Liverpool in there at some point. You know what I'm saying? Rose one man, look at this. I have number six. Where are you going? There's nothing over there. Where are you going? Where are you going and then you running full speed? I can see every muscle in your cat Like you was really going that way Gotcha, where are you going?  He's been on the ground too many times already. He's like, I'm good You just do a 360 I broke his ankle see that's the type of goalie skills that I possessed honestly You get nutmeg that close y'all was like this far apart he was He fun. How do I get you finally get that mug Into oblivion. I'm gonna look from over here. I have to say the I think the nutmeg is the most embarrassing play in in like in football That 360 where dude broke his back was crazy, too About 70% of this I'm capable of doing I just got to unlock I got to unlock the skill with hard work practice and dedication. See y'all don't leave a like comment


what's up guys happy once days got one more day before Christmas that's no man was super spooky ain't for real should bring him back again see hey what's up mass appeal how you doing oh wow look at work out today gave up all the games gap it's like gap bill arc it was overall pretty bullish today had a lot of big movers the army came out with some vaccine news that was pretty interesting Moderna got beat up pretty badly today coming back the 250 range again ISRG had a nice move today on the upside 350 to 362 some of these other like healthcare and biotech companies started moving like I don't know where today that sector is still very very strong Tesla also really good move reversal coming from up from yesterday yesterday was finding some support and today it started that big move to the upside but the Tesla closed that it's looking for a 1020 target haven't quite gone there yet Google strong move as well carrying the market Amazon Microsoft and Apple really carrying the market today they really put in the work Facebook is the only one that didn't put in work today down 1.12 percent what do you do with Facebook what's up hey how you doing Mario on fuzzy so I'm all had a big gap down today pretty interesting move there consumer staples looking a little week even target look a little week today but I think targets gonna find that bottom very soon car max also came back down pretty hard had a really good earnings was up to 145 free market but for some reason it couldn't keep the gains kind of weird that was interesting move on car max today I thought it was gonna find that 130 support but it looks like it's trying to come back down so this is the 130 support there was the news a lot of people said buy the dip on car max oh yeah for those of you that was on the stream with us yesterday we picked up AIR I picked up AIR I didn't explicitly tell you guys to pick it but you guys were on the stream you probably knew I was picking it up they had that really good earnings and they had stock buyback so the company itself is actually extremely on the value of still so just knowing those fundamental factors was one of the reason I picked it up and we had that very strong move today so some of you guys might even gotten cheaper than me because I picked it up around 36 20s and an average down a little bit but if you guys waited some of you might even caught at 34 dollar level I was a little confused why they were selling it off it actually started moving up so that was a nice 7% move for me some of you guys might even gotten a 10% move so I showed what I mean by how fundamentally this is on the value so you see the enterprise value and we see the market cap so anytime the enterprise value is higher than the market cap value that's something that doesn't make sense the market cap should always be higher than enterprise value so enterprise value is what they they think that companies work in terms of assets and stuff so if you take that one five five that's in billions right divided by the amount of shares available it would put it around 51 dollars over here so still pretty cheap overall yeah in a way so that one's actually still pretty cheap it still has more room but I just picked it from here to here it was something that you know I'm not crazy about holding long-term so I liked it just on that move along so I already got in and out that was a pretty pretty easy play and the other thing that was pretty bullish about it was also the fact that they were doing a share buyback as well right they announced that they were gonna do a share buyback yesterday after earnings we it doesn't it doesn't say here oh wait it does say here it says over here hundred fifty million dollar share buyback so that itself was a 10% opportunity when they announced that so that was the other thing that was bullish about it so once I saw that despite them missing earnings or something I was like yo look at it looking at the one-year price company was trading around 34 to like 37 and then they're doing a share buyback that's a 10% guarantee move in itself it was a buy the dip opportunity so I picked that position up and close for about 843 dollar profit for 300 shares but like I said I didn't even get a good average I got actually a pretty high average but some of you guys gotten a better price would have been a way better average than me it's probably one of the easiest swings ever though so check out some of the earnings today today the only thing we have is mission which is the avocado company mission produce avocado company earnings per share is 24 cents miss estimate of 30 cents sales is 237 mil as opposed to 242 mil this is a 29% decrease compared to earning of the same period last year and 14.6% increase over sales of the same period last year companies down 99 cents after hours went from 1740s 1630s coming back to double bottom move here so I'm not surprised supply chain issue probably hurting them a little bit maybe too many people are growing their own avocados nice what's up Miyake how you doing so they think that the industry is expecting volume to be flat to slightly down in 2022 compared to the prior year due to supply chain constraints associated with the Mexican harvest pricing is expected to be relatively steady on a sequential basis which would imply year-over-year increase of approximately 40% compared to the dollar and four-pound average experience in first quarter 2021 so they said next year volume is going to be down but they potentially be making 40% more money interesting had a good trade today Tesla and Amazon oh Tesla and Amazon was a good trade overall was a very bullish so I think we looked at Tesla yesterday as well I was finding that bottom and had a night nice it's move so moving back up thousand eight dollar area range right here finding some resistance there could wake up tomorrow and it just goes again to like 1060s I would not be surprised to see that the ultimate trend line would ideally be up here so I think think 1030s gonna be a good area and ultimate trend line at like 1100s that would be another area of rejection possibly break over you know could go either way honestly but that was a nice move today pretty easy play overall I mean they come have you been doing that be nickel market and clothes in balance they was 802 million dollars in the buy side so much bullishness so much buying power is coming in honestly I'm actually a little surprised how bullish we've been getting I thought we were gonna struggle a little bit over here because yesterday we saw some weakness and then you know we were looking like a resistance here saw some weakness over night there was some issue overnight you know it looks like it was gonna come down and then this morning we broke through the resistance and it kind of invalidated the resistance there so now we're we just having to close out another resistance on the POC side point of control side so I'm not sure how much more juice we got left for tomorrow man it's just so much freaking power on these days we might test that triple top again for 74s oh my gosh if it tests that triple top over here again I'd be I'd be scared I'd be worried I'd be taking profit whatever I have losing my mind with this low bleed what do you got that's bleeding you man what's going on a lot of the consumer stable stuff so do really really good they up like about 10 to 15 percent from some of the positions I had but I actually did close the position today though I did we balance some end up trying to like closed out the year in a tax like a tax-free environment in the way so they're trying to balance it better this is a crazy run here starting to remind me of this run we just had a big big move up and and next thing you know you know just trapped everybody and bled back down again but except this time we had a really good bounce so this this was more like easier to predict than than this one because this one we all knew was going to bounce we're waiting for the bounce and we were waiting over here but we missed the opportunity because it never hit that bottom bottom whereas this one we actually hit the bottom bottom so we hit that trend line perfectly that we had done it all these times over here right so we hit that trend line and we just started having that very really nice recovery so that this one was way easier to predict than this one over here the only difference though this time is the RSI wasn't as low for this bounce as I would want it to be like over here when it was like much lower so it was a lot easier to to predict and and have more comfort so it's been kind of it's been kind of odd and weird kind of few days honestly I think the tax Ellen you got to get it done like like four or five days before the year and so AZN AZN has been looking good overall we're looking for slow grind to like 64 dollars so it's been moving in that direction probably would have been even more profitable to do shares or a straight call position but I know this company this is like a British company AstraZeneca and they're just super slow grind so it's been moving slowly in that direction our play in the calendar side is not until February so we need time for that to play out so I'm expecting this to just go like slow grind and then pull some some BS like this over here where it just didn't go nowhere come back down a little bit and then do some more BS before it hits the top of the range so I'm looking for something like that see and see that plays out but it's just an overall long-term pretty safe play it's good way to throw some money and like it's like in a way putting money in the saving account man just a good way to put aside some money so so you don't get so degenerate and start blowing on some random plays that some other people are alerting and just just getting kill kind of like that so I hope that explains a little bit better for you on G money and Netflix is the same thing Netflix has been on the slow tier up overall bullish on the daily chart there's other ways to play it we're just playing a very slow way so the profit is very slow right so look at Netflix right we got this like a few days ago we got it all the way like somewhere on the bottom here obviously if you did it right and you pick like a bow cost spread or you know any type of other high high cost riskier play you would easily make a lot of more money from that reversal from 587 to 614 but we're looking for that slow grind you can see on the half-day chart and you can see on the daily chart we're getting those reversals right so you know so where do we pick this Netflix sometimes I don't even know when I answered this play I just know it's gonna take a while to play out so we got in this play December 16 Netflix right summer 16 that was last Thursday so almost been a week summer 16 we got over here on this trend line was pretty confident we're gonna get a bounce overall in the market and the Netflix itself and I like Netflix because I figure whether we get COVID or not Netflix is gonna be bullish in general I just started watching Netflix again so I'm bullish on the company they got the witchers they got a bunch of new shows coming up why not right so we started finding the bottom started curling back up and we're doing the U-bow right here so starting to recover I'm looking for the 630 target this is my max target we're starting to get a little bit top on the RSI I think maybe we get a day or two left so if we hit that range to moral if we could I mean it moved $9 today if we can move another $10 or be 625 if we can move $15 tomorrow where's that gonna be at over here Netflix should be on this is only up 36% we got till tomorrow that's where a lot of the premium is gonna be so we're looking for somewhere between 625 to 630 tomorrow right Netflix so 625 is gonna jack this up instantly to $5 per contract so this is gonna move up real quick for us it's gonna go from zero to 100 real quick right now I think is only like $2 and change per contract or something like that to 70s for contract right now tomorrow it's gonna go it's gonna it's gonna double that if we hit that price point of 624 so we get the same move we get today on tomorrow it's gonna be a lot of money and that's just at the beginning of the day if we get 630 tomorrow if we can fly to that 630 move tomorrow it could be worth $6 to 724 I mean worst case it doesn't even make the move tomorrow and it expires worthless then we have been holding the the next week's contract for 635 still gonna work out for us it's over there come back to 635 comes Monday opens up so high you close it for like a thousand percent gains who knows that that's that's Netflix so hope that helps some G money how does NQ look let's see you should have access to the algo now right yet world play around with it look at the 195 minute run NQ should give you a pretty good direction looking pretty bullish I don't think we have any real resistance and then queue until like maybe this range here so you can clearly see that resistance right there area struggle for the last few times so I think I think it's pretty good right now it broke over that area so next area is over here so that's a quite quite another like 1% move for the day that could have so tomorrow is looking like another 1% move so that should be good for Netflix everything my small cat tech stocks my arc why'd you picked up art man my baba maybe I shouldn't say slowly lots of just sideways are stuck down Verizon T tap just your luck jumped the boat early on target kind of surprised how weak it was today but hasn't had relatively strength agree I think we're still pretty early on target I'm not too worried about it I know this company white girl index stock I think I went in pretty early to ideally would want to come back to this 216 215 area but I know when they want to move it's gonna move it's like trading Starbucks sometimes it just like it just looks like shit and the next thing it's the shit you know that that's how it be sometimes so no worries just like like imagine you got into Starbucks like December 20th right two days ago it looks like shit be like ah man I'm in I'm dead my calls are dead next thing you know comes back to 110 from hundreds said hundred and six dollars squeeze you know and and you know Netflix I mean not Netflix on Starbucks I mean all these guys is white girl index Starbucks Netflix target when it moves it moves and it moves really well too and the premium is very low on them immobile AT&T Roblox indeed that's true if we get that because because he has looks weak right now actually yes is struggling yes looks like it's kind of weak I guess I guess you could say yes has that same resistance over here as well right but it's not as clear in this chart whereas NQ you look at it you're like yeah definitely some resistance right there yo so I I mean I feel like tomorrow might be one of those days where we just gap up right we just gap up instantly to this range over here and then it's just like slow bleeds all day on a downtrend I feel like that that's what like that that's what that's what could happen tomorrow whatever happens to an infrastructure bill rally oh yeah totally forgot about that man infrastructure bill we did get that pre-rally infrastructure bill I think right and then after the infrastructure bill got announced last month it just died out everything died oh you know the infrastructure bill actually they're actually having problem with a BVB bill because they're getting block across the board which I'm actually very happy about I actually think the bill getting block is a really good thing because I would not want that bill to pass anytime soon I wouldn't want any type of bullish momentum on that bill I actually would prefer for that bill to get stuck in like in like a dead zone just just stuck in the just stuck in the middle nowhere for like maybe half a year or for whenever the stock market crashes I want that bill to be stuck you know I don't want them to pass that BVB bill I don't want them to pass any type of stimulus I want every single one of those things to be stuck because when the market finally crashes that's when I want them to be like yeah we're gonna bail America we're gonna build back stronger we're gonna build back better we're gonna pass this bill you know and then we'll get the rally and now we cover the stock market that would be beautiful if they could if they were smart enough to do that for us I appreciate it thank you very much government that's the way that's the way you know you know when you get most excited that's usually the top it's like crypto that's the way yep self-attacks loss if you have a lot of gains obviously only if you don't have a lot of gains then you don't need to self-attacks loss hold up for next year's loss you mistake I haven't blown up anything else about that tax loss everything is in a TFSA capital lost in account oh yeah that's like a Roth IRA for Canadians can you look at Spotify too I got you Spotify I used to have Spotify on my watch list but I think I took it off because the option was so illiquid on it it actually pissed me off and I didn't want to like I didn't want to look at it anymore and didn't want to play it either because it just the option is just so trash so Spotify on the daily chart moving up heading the resistance a little bit we're coming up to POC levels over here had um 243 so POC level there if we can break that next range we can't break that bottom range over here to 26 so it's coming up to some good resistance BBB take a look at run rent what is this J what's up I actually don't have my twitch so we're using this other we stream website so we don't get like notifications anymore so sorry sorry about that welcome hope you've been doing well brother had this nice little surprise rally in the market that you couldn't anticipate but it's good it bounced off that very nice trend line airy hates you that how are we going to build back America better than stuck in Florida swamp like me going to start margin counts like a mess of options are being a go oh oh this is the way this is the way make or make a break why does option liquidate or trash you have me saying that by the way that's the way oh man guys in the best girl did they're making love he's like that's the way she's like uh-huh uh-huh that's the way sharp PayPal is that 180 bottom let's check out PayPal we're looking for that bottom of PayPal looks good on the weekly chart you know potentially finding a bottom there honestly I think PayPal just waiting to explode the only other thing I need is a strong move from Bitcoin if you think Bitcoin can potentially come back to $53,000 area PayPal is probably a good really good bit on that as well they have the earnings coming up they're holding some Bitcoin positions they also part of the financial sector and the financial sector has been pretty strong but obviously if you're playing options just data burned on the whole nother level so that's been a pain to ask we've been stuck at this range since November 23rd so that's been kind of painful but I think it's a good level here I will welcome it I mean I said it yesterday too I would love if they can drop it to 176 I think if we hit 176 we'll get even a stronger stronger bounce man because like you know how we talk about trend lines and supports and things like that so like like you see how over here when ES hit that trend line it got such a strong bounce it just bam just like it's all the way up right um so if PayPal got that move PayPal get that got that bounce over here 176 it forget it man it would just go like just go from like this douche probably go 210 real quick from 176 sometimes that's all it needs is just because because a lot of time there are these big levels those could be level where algos are waiting for as well and if the algos come in and and to put the bind volume behind it it just pushes up really really fast but other than that it's just like it's just chop right now so it's kind of annoying there so there's a few ways to play it you could sell premiums at that 176 level so if you don't think it's going to break the 176 you could potentially sit there and you can sell a boat put spread right so that's PayPal so let's say we don't think it's going to break under that 176 we can sell like 175 and 177 for $45 premium on a $200 risk on a $250 risk or even 100 and on $500 risk which is pretty good risk and worth as long as it doesn't break that level um you're good as long as it stays above that range you're good so you can mess around with it that's one way to play it um there's some other ways to play it too just burning that premium but if you're getting like shares you're fine as well you can even do the wheel on it um since some of you guys like the wheel and stuff especially beefy that's a good way to do wheel on it okay i'm going to pick up to pull in the way home i said that's the way yo aren't you guys in like the south or something aren't you in like texas or something man what are you doing getting your pot lays should get like um you guys have jose tejas over there what do you think of unity after the pull back unity let's check it out unity looks really bullish man um i like on the daily chart it's looking like netflix number two in the way um nice move back i think we have this on watch list that we were looking at from the algal watch list as well i thought it was maybe we had it last week's watch list i know we definitely had it on watch list before it wasn't on last week's but last last week's so we're looking for reversal last time it came back up it got rejected at the mob line the yellow line here so i would say that that's a reasonable target as well again 157 area mob line if market continued to move up i don't see why this wouldn't move up to 156 yeah it's it's a it's a okay strategy it's a slow strategy to burn premiums um there's multiple ways to play you can play the credit spread as well um but cash secure is one of the easier ways but requires a lot more capital you don't eat jose tejas man why aren't they like really good price we have one over here in new jersey every time i tried to pass every time i passed by jersey trip or something i always try to stop by but the wait is like two hours man it's ridiculous and they don't let you take out either so you can only go in and eating but it's pretty worth i think like the the longest i've ever waited is two hours um but like um the least amount of time ever waited for i think is i want to say like um probably like 40 minutes so if you if you're with like you know friends and things like that it's pretty um it's pretty good and they're just super super cheap let me look at it price ranges anywhere from 10 to 15 dollars mad cheap probably one of the cheapest like good food restaurant ever empanada is good the free chips is good blackened chicken is good dude nothing is is bad hair this is probably the best the shrimp cape town shrimp so good these are the blackened chicken people get so mad like a lot of the bad reviews are usually people that are really really mad like they get they get mad about the wait because it's sometimes it'd be so long man nah i i respect some bad reviews but this place though um this is the only place where i say most of the bad reviews are probably just because people waited so long and they're like god damn they just get so annoying look at that look at that yo that's like a $18 meal too that's $18 plate right there look at that i wonder when they're gonna get hit with inflation though this is the scene like every time you go there it's always like this it's always like so packed in the front there's always so many people one of these days man one of these days they're going to be operating at a loss because inflation is so high and they haven't jacked up their prices yet oh actually i asked them why they they don't do take out and they said that um because they don't want to waste like they don't want to focus on people taking out or anything they they only want to focus on the people that's eating in there because they're so busy anyways that their chefs are barely able to just serve the people inside so you can't like call them in order for pickup they don't do the deliveries the only way you can and you can't even so you can't even say hey i want to order this plate to go right you have to literally say hey i want to order this meal or whatever right they'll bring it to you and then you'll be like oh let me get the check but i can't finish this can you give me something to pack it away to so that's the only way it's so weird i'd never heard that anywhere this is the only restaurant that i have to literally scheme i have to literally scheme just to just to get a take home box because like it's so good sometimes you want to take home but they won't let you take home like every other restaurant i've ever been to i'd be like hey let me order this to go and they'd be like okay i got you you know but this is one place they won't let you do it you have to scheme it i don't think Tex-Mex is that big here um chipotle is pretty big here actually people love that guac flashin oh yeah um you guys heard about how most of the guacs are fake right i found out how like um a lot of the guacs were like not really guac like um they ran the news store in new york like i think like a year or two ago i think it's like made with melons or something i don't even know um i forgot they had like fake guacamole recipes oh 2019 2019 when when when avocado prices was extremely high um and and and they said that they exposed it they spoke they exposed all these places and they said yo all these places are making fake guac so what was it so they said the main controversy started on july 3rd when the tweeter basin can cool mexico claimed that the sneaky swap out is happening more often than many consumer might think how old were you when you learned that the avocado sauce from taco stands has no avocado in it but cooked zucchinis that gives it the color and texture scale yeah fake guac yeah so apparently like most places they would even put just like a tiny bit of guac um like a tiny bit of avocado but everything else is is like it's just like 80 fake so you just gotta if you want to have good guac mole you got to do it yourself yo oh nasty oracle oh yeah we were just talking about oracle before we had sushi place like that in your hometown ramen place like that i can see why ramen place do that too sometimes because um like if they're like authentic japanese they they usually like um they usually like very serious about their food and they don't let you take out and stuff is it like a really good um is it really really good ramen place oh more fake meal let's take a look let's take a look at oracle only goes up right how you fake guacamole i know bro how you fake guacamole scam yeah i think that's a good move um it's coming to a good point of point of control very over so on the on the intraday chart so this is a good area if you want to go long on oracle that's a good area right here $89 range they do have they do have dividend coming up though so usually dividend messes up the premium price so you usually want to wait for dividend to come pay out first but that's next week um so if dividends coming up try not to get the in the money best ramen area for sure yo that reminds me do you guys think so you guys know how sometime i joked about the santa claus rally in 2018 you does anybody here wish for the market to drop let me know if you do because that reminds me you guys want the market to drop i might have to replicate what i did in 2018 which was which was go to a a really really expensive omakase place and and eat the you know blow like a lot of money in omakase and then come back the next day um and the market just dies yo i don't think these people are ready for the for the moon phase do you guys want to hear about um do you guys want to hear about how how astrology works with the market i can debunk it like like um what's that show called myth busters i can i can do a myth buster on the strategies with stocks if anybody want to hear let me know the drop would have to happen tomorrow what kind of fancy place let me show you let me show you what i'm talking about so i was just thinking about this guy though the day man i was just sitting there actually like two days ago maybe a day or two i was just thinking about this oh man i miss him so i saw him like two years ago maybe three years actually i was in 2018 i think i don't even remember anymore man so omakase is is um it's like this is a netflix documentary on this called the gyro dream of sushi or something like that i think it's actually not on netflix anymore but you can still find it um so what they do is every day these guys they wake up at like five am or whatever they go to the bronze seafood fish market or the chelsea seafood market i think it's the bronze market because a lot of the seafood is so in the bronze market in new york now and and they go there and they find the best fish they find the best salmon they bring it back to the shop they they prepare it they put in vinegar whatever um flash freeze it you know to kill the bacteria and stuff and then and then they they cut it they set it up they get ready and they serve like only like they serve only like x amount of customers a day probably like 30 or 60 customers a day because they only open for like a few hours they only open from 5 p.m to 9 p.m all right so they're not open on sunday they only open from 5 p.m to 9 p.m it's a serious business because they're very very serious about this art of food okay this food is art this food is fine art and they only serve you like that's it this is the only this is all they serve you 1 2 3 4 8 12 16 17 18 like 19 pieces right 18 19 pieces but technically really 18 pieces two of these pieces like desserts they only serve you this amount of pieces you look at it um and you go like yo i don't think i'll ever get full eating this but i guarantee you're gonna get full you're gonna get more than fill you're gonna get fulfilled all right you don't know what life is until you had this so this is and i think this is only like $95 it's not even that expensive it used to be more um but the whole omakase scene is very very competitive now so the 10 piece is $90 i think the i think the the 17 piece or 18 pieces like 170 whatever though after the bill after tip you have to tip them like 20 it's gonna be like $200 per person easily but it's gonna be worth it because even though it's the most expensive sushi you have ever ate in your life it's gonna be worth it um because the way they serve this it has literally no fishy taste because they they have truly they they prepare it so well that they truly eliminate the the like super like nasty fishy taste uh this is the old man that was there a while back look at this they serve you these little shrimps and you would look at it and be like yo this is nasty like truly nasty but once you put that in your mouth oh my god it's like delicious it's like explosion in your mouth this is also really good too i don't think they have a lot of photos today oh they do look at that shrimp yo this shrimp is alive you're eating live shrimp look at that new meaning of fresh fish so if you haven't tried this before it's definitely worth an experience but only do it if you have the experience either come here or go to like a really really good really really good expensive and high end place obviously it's not something you do every day or eat every day but it's definitely worth to try it once in a lifetime so it's a massa what is massa oh it's another japanese restaurant 650 a person that's it good deal what a bus ah look at that i gotta do this once one of these days one of these days i'm sure the reservation is pretty crazy you know too a lot of these other super expensive places the reservation is up to like a month i don't think so i'm not sure um oh yeah what were we talking about before moon phases and astrology right so you know how like a lot of traders here are like very excited on astrology and i'm not not shitting on anybody i'm not like not not not not not like doubting that anything but i'm just debunking in a way on how it like how it works so you know how like people are like you know full moon phases and things like that and how like it just so happens that every time on the full moon you know the stock goes up or whatever or like a big move is always guaranteed to happen on the full moon right so um so if you look at the astrology calendar you you'll understand why so just looking at the major dates right if you look at the major dates you have like march 21st april 20th may 20th um you know uh june 21st if you notice here um all these all those dates right so we're in december 22nd so you notice here all these dates most of these days are right after monthly expiration so monthly expiration it's usually on on like on this friday on the third friday over here so most of the time on monthly expiration the the that's when a lot of the stocks are triple witching and things like that most of the time after that monthly expiration the stock market comes back down a lot and then usually the days after that it starts to rally so that's why on these these like moon phases or astrology days the market is always so bullish because of the monthly expiration in the stock market and options market so if you notice like it's like it's like almost going here and then like looking at every dip right most of these dips happen after monthly expiration so like this one um you know we found bottom after monthly expiration right here uh i think all these found bottom after monthly expiration this is august 19th um july 19th finding bottom after monthly expiration so a lot of them is just strictly that man nice you live in new york too oh i haven't been there yet i don't think so have i i'm not sure maybe i have i think somebody took me to interview there one time um it was like it was okay um yeah i have been there i have been there so i think like three four years ago um this one of the managers um for this other company he was i was on my second interview i think and he was really trying to get me to go work for his company and and he had me um yeah i just looked it up i have actually been there i recognized the inside so he had um he had really wanted me to to go work for his company and so it's like and he had um made a reservation so he did an interview um with me inside there but it wasn't really an interview it's just kind of like you know like understand my personality and just kind of trying to convince me to work for the company or whatever so i went there we're talking and the guy is like order whatever you want order whatever you want i got you so so you know i went there have some food and i actually didn't even take the job i actually like um actually rejected their offer um because the guy was kind of like he was just kind of like um what do you call it he was just he had like crazy expectations man he wanted me to to go manage like this whole um he wanted to hire me because i was asian that's it like and and just like manage this whole like whole whole like whole like asian customer base or whatever and i was kind of offended by that so i was like nah fuck it hey what's up s e let's check this out check out s e oh s e is s e finding a bottom gotta watch out for this so see if we can break that trend because as you can see the last few times it was trying to find the bottom and it kept moving back up and getting like smack whoo what a drop 300 to 200 holy smokes let's look to see if we have any confluence so finding some support in the bottom here right so it's a good area um but i don't know if this is going to be one of those things where it's like catching the alibaba knife or what if it breaks above we can see some big recoveries um you know because he 255 if it doesn't i can see us test this area again at 200 probably wait over there probably wait for that second test at this point hard to say hard to say oh yeah i gotta i gotta go there what's up hazard the cat doggie coin how's doggie coin doing yo you're still holding that bro is it going up we seeing some recovery i don't know man i don't know doggie coin is looking like amc and gamestop chart i don't know man luna all in luna hazard all in luna or block all in block yo cro cro hazard cro they're gonna have a surprise event december 25th gonna make it moon come back to the dollar all right i don't want to get too crazy about crypto again man i was losing sleep lost a bunch of money i don't want to go back to that again rcl let's see what we're looking for rcl oh whoa so last time we came to the bottom here um even we even broke it man we even broke it we thought all hell was loose i'm actually surprised that that rcl hasn't died yet um but it's actually the chart actually set up is looking pretty good so i'm expecting to move back to 81 50 is almost there uh i'm gonna initiate my short position on rcl there kill it die rcl so in a way it's set up a nice double bottom move coming back to the range here um probably gonna start a short position once it comes back to that 81 range a long term short position on spread side because i mean having they only been having bad news then they like then a bunch of people get sick um and catch covid on the ship what else co stepped down last month right um man what's what's gonna happen next one of their ship drowns what's gonna happen next you know yeah it's kind of weird i'm i don't know why i don't know why it's moving up so strong i think it's a squeeze i think it's just like a short squeeze i think they're trying to like um they're just trying to squeeze the people shorting it and they're trying to like get people to bring back momentum to like hold up hold the line to to like get people to come back into it but we know that fundamentally the fear is there we know fundamentally did not making money and they're just getting bad news after bad news no clue why they're raising they're rising up but just wait for the right opportunity and then short it down that's it yo what you gotta be like that hazard don't be like that man just switch over i know you want to be back holding some cro bro i mean just think about it crypto coin what do you want to do when you want to buy crypto you type in crypto and you're gonna come to crypto.com come on man like look at this all you gotta do type in crypto and crypto.com automatically pops up matt daemon comes in your face he says yo fortune favors the brave don't be a beach he's like look at all these people oh man they even changed this look at all these people man look at the astronauts the the right brothers you know look at them look at them why you don't want to be a part of this hazard why why why why why wait don't want to be a part of this how could you yo the bigger the scam the better it is in crypto all right how does sense look i don't know what i look it's gonna look like it's crashing my sis showed me her portfolio she's back holding that from the 80s yo evil man evil this messed up tell us to unload that trash bro iceberg that's true would be nice to get an iceberg on them 81 dollar would be a good area i believe it man i believe it probably back holding from 25 cents by man so if i was a short royal Caribbean right this is probably what i would do so if i was to short it i probably go to march probably take an 80 put take it down to 75 um this so it costs about $228 for this position where i think i can't even go to 70 i can't even go to 70 man shoot so i'm buying the 80 dollars selling the 70 dollars actually the same price it's almost the same price it's better to just do 75 so you can do two of these like that um so what you're looking for is for a move anywhere from now to march for it to die back to 70s and that's where you take profit the rest of the war isn't one-to-one um it's like half but the benefit is you get a lot of time you have to march 18th for the position to go in your favor so once i hit 81 tomorrow that's probably where i would take this position and and look for it to to go downtown from there so that's one way to play it the other way would be to like maybe do a calendar put spread um i don't know when do we think it can happen probably somewhere between february and and march um so i probably buy the 80 sell the 75 and i can see like something like that happening i can even like do this 80 and 75 is probably better or even this sell the 70 it's a little bit more pricey very hard the premium is very hard to play it very pricey on the premium the bolt the the the beer put spread is probably the best way to do it everything else is kind of tricky it's hard to time it it's hard to get it perfectly actually this is this is a probably good way um buy the 75 dollar puts for march and sell the 70 for it for February February so if it goes down to that range anytime between now you'd probably be making money around 200 dollars so this is a little bit better risk and worth um than the other one diagonal put spread so this way you're preventing like premium burns too if you have one in the put you can just like sell the other side so that's pretty much it it's five p.m gonna end it here um tomorrow's going to be kind of like almost a holiday so i'm probably not going to be around tomorrow probably be back on monday maybe we'll do a weekend stream we're going to release um for some of you guys that are interested in joining the earnings challenge account challenge that we've been playing over here um i'm going to try to come up with the video this weekend i really started a few of the power points and working on some short videos and stuff so we're gonna set that up i want to like set up make it a little bit easier for you guys to to join the challenge and make money so far we've been doing pretty good on most of the stuff this week we're swinging a bunch of stuff we have some things that are down like vxx and tlt that's pretty flat otherwise everything else is doing pretty good like between knifflix nike and mu a lot of it is just all about position sizing properly um and and you know swinging at the right position in the right direction that's pretty much it guys but i don't see you guys tomorrow have a good night have a great weekend and have a happy holidays take care