Hi everybody, Joe for jaspeaskasebreaks.com. Come back to us, something nice here. 2022, Panini Flawless Baseball, two box. Pick your team number 12 from jaspeaskasebreaks.com. A lot of great stuff in here. Big thanks to everyone here who bought their team straight up, I appreciate that. And thanks for spending a little bit of your Sunday night with me. So before we pulled all the teams for that R&B, that random number block, Barry Roberts, you got last spot Mojo with the Brew Crew. So thanks to you, thanks everybody. You've got their team straight up. So we pulled those remaining teams and we turned into a serial number break. We did that randomizer in a separate video, but here are the results. Good luck. Here is the fresh case of 2022 Flawless Baseball. One of these, I think you can see it. I can still see it on my camera right here. We'll set that aside over there. And we'll see what we got in here. Now, if we're lucky, we'll have a middle hit right here. Not this time. But the gems in here are naturally mine, not lab grown. We've got some gems on the left side and the auto on the right side. I didn't see, don't know who it is. So I'll be just as surprised as you are. Oh, we do have an out of five double button on top. Good luck everybody. Right on top is Jordan Alvarez double button out of five. And that is, that is part of the number block group. So we go by that digit right there, number three. Who's got three in the train whistle? That'll be for you, Danny. Danny with three and the train whistle. All aboard the Big Head Express. Woo-hoo. It almost looks like two eyes right there, right? Like a little frowny face. If you look carefully. There you go, Danny. Next is four out of five, Jason Dominguez. Showcase quad relic, another train whistle.  Tristan. All aboard, woo-hoo. Nice. All right, what else do we have here? We got Andre Jackson, 12 out of 15. I'm sorry, Miss Jackson. Ooh, I am for real. That goes to the Dodgers number block. And so that goes to Dodgers two. Dodgers two will go to Tristan. We got 10 out of 15. But Benny and the Jets, Benny Montgomery. Rockies, signature prime materials. Colorado is a number block team. That goes to Colorado zero. And that will go to, I'll go to Robert. Then we got a five out of seven, Blaze Jordan. Nice, Blaze Jordan for the Red Sox, Brian. Just blazing trails, Blaze Jordan. We got Corbin Burns, 10 out of 10, Brew Crew, Barry Roberts with the Brewers. Last spot, Mojo strikes again, 70% of the time. Last spot, Mojo hits 100% of the time. Couple more here. Preview Minks, Salvador Perez, 15 out of 20. Royals, Steve Locke with Kansas City. This guy's pretty great. 11 out of 20, Brooks Robinson. Mark with the Orioles. That's the legendary corner infielder. All right, the encased stuff. Now I did peek and see that this was a team USA card. So we'll go by the checklist on this. Usually it's the team they played for the longest. Let me landscape them over. And it's gonna be Alex Rodriguez, 11 out of 20 diamond. So let's flip over to the checklist. Who did he play? Did he play for the Mariners the longest or Texas? I actually don't remember. Flawless Baseball, groupbreakchecklist.com, checklist. Alex Rodriguez, gem-based USA parallels, Yankees. There you go, so that'll go to New York. That'll go to Tristan and the Yankees. That's how group break checklist does it. All right, now let's see what the autograph is gonna be. Maybe a patch out of that I did not notice. Could just be a gem auto, just a solo auto. That is one out of 10. So we've got a low number here. One out of 10, Ichiro. Wow, breaking an 84-year-old hits record. That's awesome. That goes to Seattle and that'll be for Sean Matik. Getting Seattle edition of Ichiro. That's strong. But wait, there's more. So on the left side is some sort of non-auto and I think the autograph is on the right side. Oh, I'm gonna lead off with another train whistle up top. All right, one out of three. Jim Tomei, dual relic. That's for Robert. Cleveland, this is for you. All aboard the Big Hit Express, whoo-hoo. Next is Nolan Ryan, two-color dual relic, 10 out of 10, Rangers edition. That'll be for David. We've got Ryan Vallad, dual relic and autograph. Three out of 25, RP for the Rockies. Rockies three, Colorado's number-volat team. It's for Danny. Then we've got Trey Sweeney, 12 out of 25 for the Yankees.  Five out of 20, Juan Yepes. Cardinals, it'll be for Mark and the Redbirds. 25 out of 25, Frank from Mochicato. Two-color patch, it's a nice patch and autograph. Royals, Steve Locke with KC. We've got CJ Abrams, two out of 10, commemorating his first home run in the Bigs. That's for Brian. Brian C. and the Padres. April 14th, the 360-foot oppo. Then we've got Jeff Bagwell, 10 out of 10. Honored Inc. autograph. Astros are a number-volat team, so that's 10 out of 10. That means that goes to Astros zero. And that'll be for Robert. There you go, Robert. All right, our encased cards. Good luck, six out of 10. Double diamond? No, single diamond legend, Jackie Robinson. Real nice, sharp-looking card. Dodgers are a number-block team. That goes to Dodgers six, and that'll be for Tristan. There you go, Tristan. And your final hit, 2022, Flawless Baseball, two-box picker team 12, another full-case break, another two-box break in the store right now. Get your teams before they're gone or before they end up in a filler. And it's Juan Soto, 12 out of 15. Nationals are a number-block team. Nobody wanted the gnats. That goes to Washington two. And that'll also be for Tristan. There you go, Tristan. There you go, everybody. The case is closed on picker team 12. I'm Joe for jaskyscasebreaks.com. I'll see you next time for the next break. Bye-bye.


Accord Foundation joined this pledge because the evidence tells us that indigenous peoples and local communities are proven forest guardians. They protect the tropical forests that are so vital to safeguarding our planet from climate change, biodiversity loss and pandemic risk. We also know that more sustainable, equitable development, development that brings in voices not usually at the table and secures basic rights like land tenure. Is sorely needed in most of these tropical forest areas and that's exactly what this pledge does. The Packard Foundation has long supported the rights of indigenous peoples and local communities through our global climate and sustainable development commitments. So we view this pledge as an important way to scale support for organizations and governments advancing force tenure rights for indigenous peoples and local communities. We are really gratified to see other key partners sign on to the pledge and we're eager to see more support for this important commitment. This pledge has strengthened our partnership in a couple of key ways. First, we're now in closer conversations with indigenous peoples and local communities about the resources they need for their advocacy, conservation and livelihood efforts. And secondly, we've improved our coordination with donors and governments who have also committed to support force tenure rights. This has made our grant making and advocacy for force tenure rights more effective and we continue to learn alongside our partners. You know, it's sometimes really hard to be optimistic about the prospects for limiting climate change to a level that isn't devastating for both people in our ecosystems. But I've seen what philanthropy is able to do on these issues and I continue to believe that we can succeed. So bringing faster positive change for a more just and equitable world is everyone's concern. We have to do more. Please join us.


So we are here at the open source leadership summit at the beautiful town of Sonoma, California. What are we doing inside? We should be outside, right? I know. The weather is so good. It's so awesome. It was raining in the morning. I was planning to do interviews outside, but it was raining, so I moved inside. But let's not get into there.  Yes. But just for the sake of our audience, can you quickly introduce yourself? I'm happy to. So Nithya Ruff and I'm the head of open source practice at Comcast, which is at the intersection of media and technology and you're a well known company in the U.S. I also sit on the board of the Linux Foundation as a member at large or a director at large, which means that I'm not representing a company, but I'm representing the community. So what is your role at Comcast? So my role at Comcast is to lead the open source practice for the company. What that means is to more systematically and in a scalable fashion, introduce open source culture and open source engagement inside the company. So Comcast for a very long time has been working with open source. Even before I came, which was about a year and a half ago, Comcast created an open source project called the Apache Traffic Control Server. They've contributed things like speed test JS and numerous projects to open source, but it was happening organically and part time with lots of people getting involved. And we felt as a company that we had reached a tipping point where we needed a focused office which would develop competency around open source in the company and transform the company in terms of open innovation. You mentioned a couple of projects that Comcast has been. So is it that they created these projects and then open source them? And in addition to these projects, are you also involved with other open source projects? Absolutely. We created the Apache Traffic Control Server, which is a content distribution network. And essentially, we looked in the market for something similar and we found some proprietary products, but they didn't quite have the functionality we needed. So a number of years ago, we decided to create our own and we open sourced it and then we contributed it to the Apache Foundation. And it's been incubating at the Apache Foundation and it has more than just Comcast as contributors. And we also use that in our production. So it's something that comes back inside the company. Another area that we created a project for example was it's called the reference design kit or RDK. Many people have set up boxes in their homes and also routers which help them get high speed internet from Comcast as well as the cable services. What's inside those boxes is the open source software which we've created called the RDK kit. So we created a project called the RDK project and many, many members of the cable industry are members as well as OEMs as well as SOC vendors like Intel and Broadcom. And this really revolutionized the way set up boxes and customer premise equipment was created. In the old days it used to be very proprietary. It took a very long time to update it or introduce new features.  The SOC vendor would create their BSV or SDK and then that would go to the OEM who would then create the box and then would come to ISVs. We've completely changed that process to be a very nimble and agile process because everyone's working on the same software code. Those are two really good examples of projects that Comcast created which really changed pieces of that industry. In terms of projects we depend upon or are involved in, we clearly consume a ton of different projects. In open source everything from big data to AI to networking projects to cloud projects. A couple of examples of projects we consume and are very involved in are Cloud Foundry which sits under the Linux Foundation umbrella as well. I think these days everything sifts under Linux Foundation umbrella. Exactly. It seems that way because it's a good home. So Cloud Foundry, we are very, very involved in that. Greg Otto who's our executive director in that space plus his team use it to help developers inside the company to be able to deploy their applications very, very quickly. We also use the Yocto project which is an embedded Linux project under the Linux Foundation umbrella and that's the foundation if you will and the build system for our RDK project. So it allows us to use a common build system across from SOC vendors all the way down the supply chain to collect all of the packages that are needed to create a setup box. A couple of other projects clearly we use a lot of Apache Foundation projects like Spark and Cassandra. We are also now members of the CNCF project. What else do we open chain from a compliance perspective? We use OpenStack inside the company for some private cloud work and tons of tools. We are a huge GitHub shop and we have one of the largest GitHub installations, I think. You're using a lot of open source technology at the same time your developers are contributing to a lot of projects. While it's all open source, compliance and licensing becomes a big issue. So what kind of processes are there within Comcast to kind of empower developers so that they can freely either use or contribute to the... And that's a very, very good question because to me compliance means that you respect the license that the developer developed the software from and we get a lot of benefits and privileges in using open source software. So we feel that we need to abide by some of the obligations that come with the license as well. And my team is responsible for compliance in the company. But even before my team was formed, it was a legal team actually who created an open source advisory council. They were very forward looking. They created this council whose job it was to define policies and also to approve any requests for contributions that came inside the company. The challenge was that it wasn't scaling fast enough with the amount of requests we were getting as a company. And so legal was constantly getting requests directly from developers. And one of the benefits of having an open source program office as you know is that we act as an advocate for developers and we act as a first line of support if you will for developers. So what we've done as a team is we've automated the entire process of requesting for contribution. People just have to go to Jira, fill out a form and they say I want to either upstream some bug fix or a patch or they say I have a brand new project I've created, I want to put that into the open source. And then my compliance manager basically approves things online if it's a very small contribution. If it isn't she sets up a meeting with the legal team, engineering team all at the table. And we do a 20 minute review of the developer's request. He or she will describe the request to us. And once they leave we immediately as a team in a closed meeting we say is this something we want to approve? It's approved and then we send them instructions for how to set up their project. So it's as quick as that. Just to give you some stats we try to do a quick turnaround within 10 days if it's a major project. If it is a patch or bug fix it happens almost immediately as soon as they file we can approve it. 96% of everything people submit we approve. We're not throttling back or holding back. And the process has improved so much that from 2013 when we had only 13 requests for contribution to now we got 110, 115 requests last year. Throughout the year? Throughout the year. Which isn't much compared to say an Intel or others. But in our line of business Intel needs to prepare a software ecosystem prior to chip arrival. In our ecosystem it's not as critical. How do you encourage your developers to actually go out and participate in more open source projects? This process is I think when you're officially using a Comcast site then you have to go through this process. But other than that they can freely come to these events like that or just engage with the community. Do you have anything to encourage? Absolutely. And then just one more comment on the compliance process because it's relevant to this question is the philosophy I've taken is that we want to reduce fiction to engagement with open source whether you're contributing or consuming. And we also don't want to be the end of line inspection. We want to help them build it into their daily thinking. Just like DevSecOps, you can call it DevSecOpenOps or something. You can coin as many. It gives many, many inserts into that phrase. So the approach is to guide, mentor, encourage, create an environment where they feel that the company cares. So one example of how we encourage people to get involved in open sources, most companies in their technical ladder for becoming a fellow or distinguished engineer generally go by the number of patents filed or papers published. So this year and last year we changed it to also say, is this person now being accepted into an open source project? Has he become a maintainer? Has he open sourced something? Is he being invited to be a speaker or she being invited to be a speaker? So we are acknowledging open source contributions as part of the promotion for an engineer. We are trying to do a rotation program in the open source advisory council where engineers can come and sit on the council as one of the approvers so that they can get trained in open source thinking. How do you balance business and open source? How do you balance IP and open? We encourage, we constantly post call for papers for different conferences on our Slack channel so that people can go out and speak about their projects. We have an ambassador program which means that there's open source advocates throughout the company in different locations can join us and be part of the open source practice and be the eyes and ears in that location and go evangelize open source in that location be a point of contact for people. That allows us to scale also as an OSB because we are just three of us and we are three women's office by the way. So we run almost a 10,000 developer organization which is our technology and customer experience and product group. The last thing I'll say is we've just made it so easy. We have a central site where all information is hosted for open source and they can go see it, go check it out. You know, things like our policies, conference calendars, who to contact for questions and then we help them write blogs, we help them promote their community, we help them brand their project with icons and stickers and all that other stuff. So we are a full service shop from compliance all the way to community strategy to marketing and guidance. You mentioned Spark. So these days machine learning is a very interesting use case and in what capacity is Comcast kind of using machine learning? Can you talk about that a bit? Sure. The group that I sit in is called Technology Product and Customer Experience. So customers are at the heart of everything we do and yes, we have a long way to go to transform our customer experience so we take that very, very seriously. And one of the ways you transform customer experience is using AI. It's in a number of ways. One is in reliability and in predictive maintenance and making sure that we reduce the number of truck rolls and that we catch problems before they happen. So we use that in our customer support analysis. The second is in how we transform how you search for content on your setup box, how you use the content, recommendations, that sort of thing. So we're making, I don't know if you've used the voice remote, the X1 voice remote has transformed the way customers are now viewing their content on their Xfinity box. So instead of having to memorize all the different channels and which channel to go to, I keep surfing. I have Comcast, but I prefer app more because I am like more mobile than sitting for TV, but yeah, I have... The voice remote? Yes, I have used it. It's completely changed people's experience because you can now say, I want to watch Game of Thrones. You're not worried about bad AI, but what if you say, I want to watch Game of Thrones and the AI say, no, you cannot watch it right now. Well... Or you just call them and say, no, your line is fine. And no, maybe we don't take over, right? We have heard so many stories with Alexa and everybody, so you cannot trust AI too much. No, I mean, yeah, exactly. But so it helps us improve customer experience through training it on voice recognition, on natural language phrases that customers use, et cetera. And so we're constantly kind of looking at the data and seeing how we can refine and make the experience better. So customer support is one area. This is another area. The third is in our home security product, really doing visual recognition and alarms. That's more like IoT also, right? It is IoT, exactly. It's cameras in the house plus being able to act on data at the edge rather than coming back to the cloud and making decisions and event-driven actions. In addition to this, there's machine learning also, because when you're running the software, it can also help in monitoring and scanning and finding bugs and all the other patterns we're seeking. Do you also use machine learning together? Layer of the stack to make the software self-esteem or not just the user experience? I think the teams do, and I have not asked them about... There's so much scope of machine learning everywhere. That's right. One of the key partners I work with and my team works with in the open source arena is our AI team. The AI team is based out of D.C., by the way. And Jan Neumann and his team work very closely with us. They also are open sourcing their models and they are do publishing research. They're working with UC Berkeley and other organizations, universities, on training their models and learning. And we are also competing for talent just like everybody else in the AI space. So I'll send you a URL with all of our AI information aggregated in one place. When you talk about machine learning and you also mentioned Open, how much are you using a lot of Spark machine learning or are you also developing your own and then open sourcing them? I think both. Like everybody else there, AI is ripe for collaboration and the whole workflow in AI also is being worked through constantly. How do you kind of develop these models? How do you train the models? How do you use them in your products, et cetera? So we do use... I couldn't name some of the projects for you. I'm sure we use TensorFlow. And we open source also. So we just... I actually yesterday or day before we just approved open sourcing model for our AI team and they were thrilled because you really learn these models need more data to learn and so by open sourcing we can collaborate with others. Comcast is doing so much open source. Why and how important is open source? Not only for the Comcast, but you have been in open source for so long. Since 1998. This is my 20th anniversary. Exactly. Just like the OSI. Congratulations. Thank you. I should make stickers. 20 years in open source. So I can put it here. So how important is open source today? I cannot think of a single industry that's not being changed. Exactly. And the words are so good where Andreessen said software is eating the world and open source is the way they're eating the world. It's the utensils for eating the world or whatever. Right. Because most of the innovation is happening in open source. Right. Most of the time to market can be achieved, especially for companies that have typically not been software companies. The only way to leapfrog and get time advantage is by starting with an existing set of components that are already well worked and well done. And the skill set is there. People are coming out of college or you can hire good people. Yes, there's a shortage, but developers look for that in companies they want to join. So if you are a company that's going through digital transformation, if you want to leapfrog, if you want to innovate and get competitive advantage or hire good people, you've got to use open source software. So it's a business imperative. It's a must do for innovation. So I'm always surprised when people ask me why can't you cast an open source? That's a why not. Exactly. Because we are really an innovator. We are doing a lot of work, whether it's in the cloud or the networks all the way to embedded devices and IoT and running the world's largest IP network and streaming content to millions of homes. That takes a lot of technical savviness and know-how. I mean, as you said today, if you're not a company, you have to be a technology or software company. Whether you're an A&B or you're dealing with hotels or cars, you have to be. Even if I'm a jewelry maker or making clothing, if I want to run a successful business, I need to know how to use it for my advantage. And the second layer now is that it has to be open source. So you have to be an open source company simply. Just cut the software part. And remember an interview with Sam Ranji when he was still at Cloud Foundry and he said that. And as he said, couple of years, we will not even be using the term open source anymore because software will kind of... It's just a component. It will become that software means open source. And we are slowly moving towards in that direction. If you look at today, it's actually not a question that who is doing open source? Who is not? Who is not doing it? And why not? Why not? It's just not... There are some cases very, very... But those cases will either they are unique cases or they'll fade out in time. They will eventually... I also learned that Kamakas is joining CNCF. You're already a member of Linux Foundation, right? So what is... Why CNCF? Yeah. I mean, they are babies, right? Yeah. But CNCF, the momentum is amazing, as you can imagine, right? All three cloud... Kubernetes is the biggest after Linux. After Linux. And we found that a number of our teams were using Kubernetes throughout the company. We are contributing to Kubernetes.  And we were lucky to have Sarah Novotny and Chris Anaschek come to Comcast last year. We do an open source conference twice a year in the company. You don't ignite me? It's mostly an internal conference, but we particularly wanted to invite the CNCF team. And it's an area that everybody is using to hasten application deployment, right? Because we create a lot of apps in the company, whether it's mobile apps or apps that sit on your sit-top box or on your high-speed internet or in the home from a security perspective. And CNCF helps us do it faster, cheaper, better, more effectively manage our cloud apps, manage our container apps. So we feel very strongly about working closely with Kubernetes. What do you think CNCF enable you to make it cheaper? I think it's just managing our app deployment. Oh, okay, okay. You mean Kubernetes or CNCF? Kubernetes. Which is one of the crown jewels of the CNCF. I use it interchangeably because it's a portfolio of projects. Now it's become an umbrella where you're showing a lot of projects. The other thing that I like is that all of the cloud providers, the public cloud providers support CNCF. And they're providing services, Kubernetes as a service and other things, and we consume public cloud. And so it's nice to be a part of a project and influence or work with the cloud providers on extensions that we need or customizations we need in one place. I think we touch upon a lot of broad topics. Is there anything else that you think that I missed? Because one more thing I want to say is, you know that I've also worked a lot in diversity and inclusion. I don't know why to skip my mind, but I was about to ask. When you mentioned that you had three women controlling the whole world, that's the kind of world we should be living in actually. A much better, peaceful world. This is such a fabulous team and on this International Women's Day, I am so proud of my team. These are two fabulous individuals who single-handedly are helping us transform the culture. They are service-oriented. They take ownership. They take accountability for what they do.  So I'm very grateful to work with Krista Kare and Sheila Saibi, who are part of my team. I also work, as you know, in the Linux Foundation and elsewhere on supporting opening doors to open source. And I continue to do that. And Comcast has been incredibly supportive of me continuing to do both of these work. And they sometimes go hand in hand. And I'm proud to continue to do that work. Chasing Grace is another project that I've been involved in. And I'm proud of that. With Jennifer Glor? With Jennifer Glor and Wicked Flix. And I sit on the board of another organization called Code Chicks, where we are helping women in engineering continue to stay in engineering through investing in their development, providing safe spaces for them to support each other and talk to each other. So I feel like my life is so rich and complete because I get to do what I love and I get paid to do what I love. Exactly. Somebody is paying for your hobby, right? Yes. That's why you don't feel like you're working here, right? Exactly. Thank you so much for your time. Thank you. I really enjoyed the conversation. I think we learned a lot about Comcast today. Thank you. Thank you so much. I'm glad for the opportunity to share what we're doing. And I'm happy to have that opportunity. Thank you.


My favourite place to go to escape from the hustle and bustle of life is any place in nature, like the forest, waterfalls, the ocean, the mountains. Anywhere where the noise of the world disappears into the calmness and balance of the nature around me. I feel like I've stepped into another world in these places, a world where everything seems to slow down for a bit and the time is only told by the sun moving across the sky above me. Here, I can forget about my daily tasks, emails I have to reply back to, errands I need to run, even if it is just for the moment. There's nothing to do but to sit here and absorb the beauty and reconnect with nature. These are the places I go to practice the art of doing nothing. Doing nothing seems counter-intuitive in our busy, fast-paced world that is obsessed with productivity and efficiency.  I've gotten into the habit of thinking of what more can I do or how fast I can do this so I can get a jumpstart on the next thing on my to-do list. I used to feel so guilty when I wasn't optimizing every single minute of my day and when I crossed off something on my to-do list, I would just feel it with another thing and this would become a cycle that became impossible to stop. I noticed that we do this with leisure time too. We are so busy filling our calendars with social events and planning our next trips, filling our time with mindless activities, not giving ourselves and allowing ourselves to take a pause and take it all in, to take time out for ourselves. I think it's in our nature to not want to be left out, to feel like we're missing out if we say no, because we will feel like the odd ones out. But this way of thinking and this mentality has gotten us to push even further and work even harder, which will eventually lead us to burning out. I couldn't help but ask myself, what am I trying to achieve? What are we all trying to achieve by doing this? I mean, are we just keeping busy to distract ourselves? Why do we keep running away from the present moment? Why is it so challenging to sit and be present? A quote I love by Joan Kabat-Zinn is, Mindfulness is about love and loving life. When you cultivate this love, it gives you clarity and compassion for life, and your actions happen in accordance with that. With unlimited access to entertainment, social media, emails, we have so many distractions and arms reach, which is why doing nothing is actually really hard. That's why it's an art, because it takes time to practice and master this way of seeing life, of approaching life. I think it's needed now more than ever before, and this is something that I've been trying to implement in my own day-to-day life. I'm trying to take my time in the morning to enjoy waking up, having my tea, getting ready, actually being mindful and present with what I'm doing in that moment, instead of going through my list of things to do that I want to get done that day, and how I'm going to fit them all in. I sit with my morning tea and actually enjoy it. I taste it and savour the moment. I'm also trying not to listen to music or podcasts when I'm out walking or waiting for the bus. I'm starting with baby steps, but I've noticed such a difference in my state of mind, and I'm really enjoying it. It's really helped give me this overall sense of calmness. These simple changes have been my way of appreciating the simple moments in life, not focusing on anything, just letting my mind wander. This is my way of practicing the art of doing nothing and fostering more time for nothingness in my life. I think the most challenging part about this is finding the time to do it. When I have piles of work that I want to get through, taking an hour, even 30 minutes out of my day feels quite overwhelming, but this just shows how backwards everything is. I mean, the more that you have on your plate, the more that you need to take some time out for yourself. It doesn't have to be as extreme as taking the whole day off, but it can be as simple as taking that extra 5 minutes to drink your coffee in the morning or eat your lunch. This art is practiced by many cultures around the world, particularly by the Italians and the Dutch. In our modern world, I feel we have to be more intentional about taking a pause. While different cultures have different phrases to interpret their own way of doing nothing, on a deeper level, we all seem to agree that when we take a pause, we can have this deeper connection to life and deeper connection to ourselves. We don't have to escape to the mountains or to the forest to embrace the art of nothingness. It can be done anywhere, anytime, because it is just a mental shift, a state of mind. Our days are so structured, and if we step back and just give a little bit of distance between us and our lives, it can definitely give us clarity, a reset, and bring about with it a sense of peace. Thank you so much for watching this video. I really hope you enjoyed it. Let me know what your practices are for cultivating the art of doing nothing in your own life. I hope to see you again soon. Take care. Bye.


As the token security matters, the Nigerian Navy has inducted 12 on-manned aerial vehicles, UAVs, into its assets to improve its surveillance capabilities and enable it to fight maritime crimes. The chief of naval staff, Vice Admiral Immanuel Ogallah, while inaugurating the drone, said that they would assist the Navy in the protection of the country's maritime assets while improving maritime surveillance. Admiral Ogallah, who was represented by the chief of training and operations, rare admirals of Korea, Mohammed said that the surveillance UAVs would complement the already existing air assets of the Nigerian Navy while supporting the surface ships and maritime domain awareness platforms. These drones are expected to enhance one of our trinities of action, that is the surveillance leg of the trinity orders response and enforcement. These drones will be integrated into our existing maritime domain awareness infrastructure and better enhance our real-time recognizance and surveillance, so that the Nigerian Navy will continue its effort to curtail maritime criminalities, Kudul Teft, Paris Sea, among others. The acquisition of the drones came along with the training package and pilots have been trained on it and also engineers have also been trained on the maintainers and this training will continue.


Hello, I am Daniel Cogia from Inria France, and I am going to present a joint work with Christine Aboua entitled Efficient Milk Bodilings for S-Boxes and Linear Layers of SP Enzyphers. In symmetric cryptography, to ensure that cryptographic schemes resist state-of-the-art attacks, cryptographers need tools for computing many properties of cryptographic schemes. They will probably want to compute lower bounds on the number of activist boxes such for good characteristics or solve Boolean equations in the middle of a crypt analysis and so on. However, such computations can be hard problems and cryptographers do not want to spend time reinventing the wheel. A common trend in symmetric cryptography for solving such problems is to benefit from the high performance of SAT, constraint programming or milk solvers to do much of the computation by turning a crypt analysis problem into a SAT CP or milk problem. If we use the solver as a black box, we still have to make the translation between the crypt analysis problem into a SAT CP or milk problem. This is what we call the modeling process. The thing is, there is not a single way of modeling a given problem and depending on the modeling, the solver can perform a computation in a few minutes or not even terminate after several days of computation. What we are going to see in this presentation is how to get milk modeling for the problem of computing differential trays through SPN constructions that allow the solvers to perform as fast as possible. The reason we focus on milk modeling is that the industry has developed very powerful solvers that are successfully used in many different domains. First, what is a milk problem? It is the problem of optimizing an all-in-our function on variables X, the objective, and the all-in-our constraints and domain constraints, which means the variables can be restricted to integer values or even binary values. In our context, variables are often entirely binary. So what have cryptographers done with milk modeling so far? First, Muha Wangu and Prenel and Mu and Wang used it to compute lower bounds on the number of activist boxes with word-wise modeling. This means their modeling used one binary variable for each word, modeling whether this byte was active or not. Of course, such modelings are restricted to word-oriented ciphers and do not take the details of the S-boxes into account. Then, Sun, Hu, Huang, Kiao, Ma and Song proposed bitwise modelings where one binary variable models whether a bit is active or not for each bit. In particular, they proposed the first techniques to take the details of 4-bit S-boxes into account. In two different works, Sasaki and Todo explored the use of milk modeling for impossible differential trace search and tried another approach to model 4-bit S-boxes. However, none of the techniques proposed in these seminal works allowed practical modelings for 8-bit S-boxes. The first work to propose a solution for the modeling of 8-bit S-boxes came in 2017 by Abdel Kaleck, Sasaki, Todo, Tolba and Yusef. They also showed how to model the search for good probability differentials. However, the techniques gave quite heavy modelings for many 8-bit S-boxes, like the ASS-box. In this work, we first provide better ways of modeling Boolean functions of size 8 to 16, which gave us better modelings for S-boxes of any size. We then studied how to model F2Linear operations and consequently Linear layers. Let's start with S-boxes. The differential behavior of S-boxes can be summarized into a two-dimensional table called the DDT. We assume for the rest of the talk that we do not care about probabilities and just want to consider whether a transition is possible or not. This gives us this Boolean function called DDT star. For an input difference delta in and an output difference delta out, we say that the transition x, which is the pair delta in delta out, is possible if DDT star of delta in delta out is 1. Now the question is, how can I derive a set of all linear inequalities on binary variables x that is satisfied if and only if the two times n binary variables x model a possible transition? Please note that if I can do it for any Boolean function, then I can do it for DDT star. A preliminary question is, is it possible for any Boolean function to find such a set of inequalities? The answer is yes, and we will see why on this small example. Consider a Boolean function f on three variables x, y, z, when considered in the set of the real numbers or the points on which f takes a value are located on the cube. Moreover, modeling f means finding hyperplanes that discard the points of the cube where f takes a value zero and that keeps the points of the cube where f takes the value one. And since for any subset of the cube, its convex hole is inside the cube, all linear sets of inequalities can characterize any Boolean function. Now comes the real question. Given the truth table of a Boolean function, how can I get a nice set of inequalities? This question is usually answered in two steps. The first step aims at computing many correct inequalities and the second step will try to choose just some of them that are good enough for the final modeling. There are two approaches for this second step. The greedy one will change at keeping the inequalities that remove many impossible points and the minimum one will change at getting the smallest model possible. We found through experiments that the latter is a good indicator for benchmarking the first step and the former is better suited for real usage in MILP solvers. Our intuition on this fact is that a bit of redundancy in the modeling, namely the fact that an impossible transition can be discarded twice, is good for the solver. Now how is step one performed? There are two approaches. The geometric method is based on the convex hole of possible points, whereas the logical method is based on progressively discarding impossible points. For example, if we consider an impossible point A, modeling X is different than A is done through this equation, which is all linear because A is fixed. Let's have a look at the geometric method. On this drawing, black dots are possible points and white dots are impossible points. Black lines represent the convex hole of possible points. Computing the convex hole becomes too hard when the number of variables exceeds 12. In the case of DDTs, this means this method cannot be used to model seven-bit and bigger S boxes. Then simply adding inequalities that share a possible point on their edge allows to build more interesting inequalities. This simple idea gives the best results for four-bit S boxes, but we cannot apply it to eight-bit S boxes. So we now focus on improving the logical method. The goal here is to pack the impossible points in sets we know how to discard with a single inequality. We have just seen an example with single tones. A first step is to pack impossible points into sets A plus PrecoVue. This is just a notation denoting the points that share the bits of A and whose bits can take any value at the positions given by U. Those sets only need one inequality to be discarded and there is a very simple algorithm to cover the impossible points with such sets. It is interesting to note that this is in fact equivalent to using the first part of the Quine-McLeosky algorithm. The Quine-McLeosky algorithm is a classical algorithm for computing minimal product of some representations of Boolean functions and used by Abdel-Kalek et al. to find the first modeling of eight-bit S boxes. The difference with our technique is that the second part of the Quine-McLeosky algorithm has no interest for us. Indeed, it does the same job as step two in our setting, but for a different goal. Another possibility is to pack impossible points into bores with the hamming metric. Indeed, with center C, we can easily express the weight of X plus C with all linear expression. Furthermore, by tweaking the coefficients of this all-linear expression, we can discard bores while keeping some of the possible points on their edge. The thing is, for a random Boolean function or a dense DDT, it is quite rare to find bores of radius bigger than two. We then came up with the technique for removing three neighboring bores of radius one as they appear more often. A condition for this technique to work is that the exhaust sum of three centers should give an impossible point as well. Here are two results we got on eight-bit S boxes with the two techniques compared to using the Koin-Maklowski algorithm. In the first case of the skinny S box, we see that using the bores technique with the A plus Precovue technique does not make a big difference when we try to compute the minimum number of inequalities. However, we see that for the A-S S box, we got a significant improvement. We think this difference comes from the density difference between the two DDTs. Indeed, the sparse Boolean function of the skinny S box DDT allows to find many big sets A plus Precovue and those big sets too much of the work. For the A-S S box, because the DDT is so dense, the bores techniques are better suited for covering the impossible points. Now we know how to model S boxes, but they are not the only components of symmetric ciphers. Linear layers which provide diffusion are also important components to model efficiently. We will start with bad news. Modeling a multiple XOR constraint without introducing dummy variables needs an exponential number of inequalities. Now, imagine you have to model an F2 linear operation given by matrix M. You can rewrite the constraint as M slash identity matrix times X equals zero. Your only hope will be to find equivalent constraints given by matrix A, which means computing an invertible matrix P such that P times M slash identity equals A. More precisely, we want to compute P that minimizes the weight of the rows of A to tame the exponential complexity of XOR constraints. There is very simple example given by the skinny mix columns on the right. The matrix on top is the matrix M slash identity. We see that the first row has weight four. Now the matrix below is the same matrix, but we added the last line to the first one, which is an invertible operation. We see that this simple operation could decrease the weight of the first line to three. We pushed this idea a bit further and also considered searching for block diagonal matrix to multiply on the right to decrease the weight of those rows. This modification will need to model a fine equivalent S-boxes instead of the original S-boxes. It appeared throughout our experiments that the fine equivalent S-boxes were very close to the original ones and that their respective modeling were very close as well. Now, how does it perform? For Aria and Midori, maximal branch number matrices were chosen so we cannot do anything with our techniques. We just saw a slight improvement for skinny. AES and Anubis matrices can have better modeling with compensating with the S-boxes. And finally, for Sarturna, our technique can significantly improve the modeling. We have just seen and seen now results about number of inequalities, but what we are really interested in are computation times. We benchmarked our techniques by computing differential paths for five round AES and 32 round skinny. We see that for the AES, the S-box improvement has more impact. For skinny, the linear layer improvement is much more interesting. This difference can be explained by two reasons. First, for the AES S-box, the modeling was greatly improved, whereas for skinny, the difference was barely interesting. Second, we show an experiment for many rounds of skinny and the small improvement on the linear layer modeling can have more impact. Five rounds of AES only need four linear layers and a difference in the linear layer modeling has not much impact. Finally, we showcased our techniques by computationally proving partial resistance against impossible differentials for 13 rounds of skinny, 128, and five rounds of AES. More precisely, we checked that there exists at least one path between any input and output difference without one active byte. Those computations are based on exhaustive search, but to speed up this search, we use the natural extension of the differential possibility equivalence technique by Sasaki and Todo. To conclude, we provide techniques that could help you to use Milpsorvers in your works, and some of them can definitely be used outside the differential cryptanalysis world. What we did for the DDTs, you can do it for modeling LATs, for modeling division property, for modeling any Boolean function you need. Please keep in mind that Milpsorvers only allow to do complex computations without writing complex code. They won't magically provide solutions for problems we already know as too hard. However, since cryptanalysis often puts ourselves on the edge of what we can compute, searching for more efficient modeling is definitely a way of pushing that edge a bit further. In fact, there are many open questions left. Are there better ways of solving step two than the greedy algorithm? Could it be more interesting to introduce dummy variables in some situations? Or what improvements can be done in the linear cryptanalysis and division property worlds where milk modeling need an explicit copy operation? Thank you for your attention.


What is up Freedom?  As you guys know, I'm a daily vlogger and I've done a lot of practice trying to get things perfect. And as you guys know, audio is one of the very most important things when it comes to vlogging. The worst feeling in the world is when you're outside vlogging and you have to cut that clip because the audio is bad. So I've come up with a little thing so you can fix your audio and record outside without having wind interference. So in the professional video world there are things called windscreens that you put over your shotgun mics and different things like this. Well, I was trying to figure out a way to make one for my vlog camera. Now with most cameras your microphone is right here on top so when the wind goes by it's hitting it and it's making it really scratchy sound. So what I did, this is really simple.  And then you put it on your camera like a hat and now you have a windscreen for your camera and it won't actually pick up the audio. Now to pick one of these up it's probably about like $10 plus shipping so it's not very much to enhance your vlogging career. So here's a windscreen test while riding the pennyboard. Now if that is a little bit too expensive for you or you just don't have $10 laying around there is another simple solution.   I advise using a clean sock you know so it's not stinky but it actually works pretty well. Not as well as getting an actual windscreen on there but it does cover up a lot of the wind and it makes it so you can use it and you're in a pinch.   It's going to be really loud but it's probably not going to be as bad as it would be without the sock. Let's test it real quick and without the sock. Can you guys tell an effort? So anyways guys I want to know who all out there are vloggers because I am a daily vlogger. I put a lot of time and effort in my channel and I really really enjoy it. It's my favorite thing to do is go out and make a fun vlog for the day and I want to meet other people like that.  I want to meet more of you guys. If you're a gamer wondering how does this relate to me I'll show you. All right now I don't have a windscreen right now I have a windscreen it's going to cover up all those sounds now it's not as good as having a windscreen but it does help quite a bit. So if you're in a pinch and need something quick and easy put a sock over your mic. But anyways guys it's it I'm going to quit ranting now but as always check out our personal channels head over to our daily vlog channels hang out with our faces every single day and we will see you on the next day I don't know what day this is going to have fun.


This is covering the spread part of the Fandall podcast network You may have heard me discussing last week how I built out a model for totals in the NFL during the week And I was like, okay, you know, I've been putting this off for a while I've wanted to do it I've wanted to have that both for betting in also for daily fantasy purposes and so I made the model last week Bad timing because this week in week 16 is an outlier in terms of the weather across the Midwest We've got games with 27 mile per hour winds. We've got blizzards. We've got snow. We've got blowing snow dangerous wind conditions and You know, it's tough to have a lot of confidence in the model that you just built when you get extremes So tough timing on that it is going to be a defining key of this slate is trying to identify You know, do we want to just stay away from these wind games? How does it impact things who could benefit from this stuff and it's a lot of questions to be answers We're gonna break down week 16 the NFL take a look at what my numbers are saying if it is weak focusing primarily on not the totals To avoid that one pitfall there and also take a look at my updated power rankings entering week 16 This is covering the spread right here on the fan dual podcast network and number fire calm My name is Jim saw this I am a senior writer and analyst for a number fire here Like I said to break down NFL week number 16 Take a look at what my numbers are saying in terms of spreads money lines and totals this week I'm also taking a look at my updated power rankings entering week 16 We'll also recap what went down here on the show this past week before we do that though quick reminder to make sure you are Subscribed to covering the spread wherever you get your podcast funky schedule for this week because of travel I'll be leaving to travel for the holidays on Wednesday nights So we're gonna record our week 16 full NFL preview on Wednesday Austin Swain will swing by break down this thoughts on the week 16 Slate also tomorrow our first college basketball men's college basketball break down of the year John Rothstein We'll swing by and talk about early takeaways from this year Teams that he thinks may be legit teams that have struggled that may bounce back and more so good talk to John Once again as he did last year prior to the final four that'll be up on the cover in the spread podcast feed In the afternoon We'll also have the week 16 breakdown in the evening Fandall YouTube page and up on the covering the spread podcast feed wherever you get your podcasts Looking to get more out of this NFL season Well now is the perfect time to download Fandall America's number one sportsbook because new customers get a no sweat first bet up to $1,000 that's free bets back if your first bet doesn't win Just download the Fandall sportsbook app It is safe secure and super easy to use Then you can bet on everything from the money line to touchdown scores to over under yards plus Fandall even lets you combine your bets for a chance at a bigger payout with the same game parlay So you don't miss out your chance on your first no sweat first bet up to $1,000 in free bets when you join Fandall make every moment more this season with Fandall an official sports betting partner of the NFL Must be 21 plus in select states first online a real money wager only Refund issued is not non withdrawal but free bets that expire in 14 days restricts supply see terms at sportsbook. Fandall calm gambling problem Call 1 800 gambler or visit fandall calm slash RG in Arizona 1 800 next step protection acceptify through 3 4 2 In Connecticut 1 8 8 8 7 8 9 7777 or visit ccpg.org slash chat in Indiana 1 809 with it in Kansas and Wyoming 1 800 5 2 2 4700 in Kansas KS gambling health comm in Louisiana 1 8 7 7 7 7 7 0 stop in Maryland MD gambling health org in New York 1 8 7 7 8 hope and wire text hope and why or in West Virginia Go to 1 800 gambler net now as we did here on the show last week I wanted to go through the power rankings in my two models to discuss where things stand right now some discrepancies and teams that may be Higher than expected or lower than expected and break down takeaways from that heading into week 16 now as with last week This will include injury adjustments for weeks is 16 specifically so This includes the Eagles under Gardner Minshew for this week meeting You will not hear me talk about the Eagles in the top tier this week Long term they still ranked third in my unadjusted model behind Buffalo in Kansas City So we can still be super optimistic about the Eagles But they will not be in the upper tier for this week as a result of the downgrade from Perth's down to Minshew The top of the power rankings between the two models is the same as last week The cheese and won the bills and the other and again in case you weren't here last week the reason the cheese are lower in one is because The other model expects regression for how efficient they've been on late-downs. They have been Unreal now. That's the reason they're lower. There's still second behind the bills in that model But it's important to note that that regression may not occur because Patrick Mahomes is not human So that may not happen and it's possible that that model is underrating them as a result But that's why they're lower there again. They're still second behind the bills But that's why they're first and one second in the other That's the one thing there the bills in the model with the cheese are first They're actually third and the reason they're third is because the 49ers have actually jumped them They are up to second in my traditional model I've been adjusting them down each week for Brock Purdy and then for Debo Samuel And I just keep on adjusting less and less as a sample expands on them playing well with Purdy instead of Garoppolo Now I could be wrong on this There is still a downward adjustment because I have a lot of respect for how efficient an offense can be under Jimmy Garoppolo And it's hard to expect Purdy to keep this up when there's no Debo Samuel for this week specifically So I think this number could be too high. It could be too optimistic about this 49ers team But this defense is playing lights out Purdy has been very efficient in his first three games. So I don't know man It's hard to keep on being wrong on them because I'm over adjusting Due to injuries, it could just be variants. It could be that I've just been wrong I happenstance these past couple of weeks, but I think for me I think it's the right approach to keep adjusting down less and less as purdy keeps on playing well without Debo I have interest in the 49ers this week after I've betting against them for like the past month or so I have interest now This will probably be the week where purdy regresses turns back into sophomore junior senior year Brock purdy freshman year Brock purdy is pretty sweet But like this could be the year where he turns back into that that uh the college version we'll see but I'm more in now on them than I have been previously We talked about the Dallas talked about Cincinnati those two teams still in the top five for me this week No real changes there Philly will be there once they're healthy One team I want to highlight in being very interesting is the Jags again This is with injury adjustments. So they're above the Eagles based on this model But my traditional model has the Jags ranked eighth. That's very high. Um, but It's the same discussion we had last week with the Lions where That model leans heavily on passing efficiency Efficiency and Trevor Lawrence is shredding right now The Jags actually ranked third in adjusted passing efficiency by number fires metrics My numbers have been high in the Jags throughout this year Um, and it could be that this is continuing into this model and you're like, okay You've gotten too high on them. I can understand that My model is told me to to bet the Jags money line seven times this year They were underdogs in all seven of those games But the Jags went six in one of those games as underdogs in every single one So although the model has been high on them, I don't think it's been wrong on them Now the Jags get the Jets this week. The Jets are super high in my other model So there is this agreement here one model says you bet the Jags one says you bet the Jets I'm going to stay away as a result of that but I do think the Jags are a very good offense I was going to say good team, but defense can be a little bit shaky They might not be eighth like the one model has them right now But I'm very into them. Uh, they'd be ninth again if you put, uh, John Hurts back on the Eagles, but I think they're very fun So the Jags a team that my numbers have been high on all throughout this year They're so high on them and I don't know if it's necessarily wrong to be that high The final team I wanted to touch on is the Steelers Their defense really really good with TJ Watt being back and that matters a lot So in the model that I think is more right on them They're like 14th right now again adjusting for health. Uh, that is an upward adjustment for TJ Watt Make if it's Patrick a downward adjustment in for some other teams. So 14th is high They're a 11th in the other. Um, that's probably too high. Uh, I don't know that one seems a little bit a little bit high But my model doesn't have a positive ROI in betting their money lines this year And that's the model that's lower on them. I would not hand rank them in this high, but They're playing better football. I think it's kind of flowing a bit under the radar How good they bet the one model the one that's higher on them does like the Steelers minus two and a half against the Raiders this week I don't think that's totally unfair the other one disagrees. So I'm not betting on that one But I do think it's noteworthy how high The Steelers are once you put Watt in there and it's also worth mentioning like there's been this streak of Mike Tomlin Finishing above 500 they could still do that if they went out and it's not like totally outlandish. So they're not going to make the playoffs, but like You know, I think that the Steelers are better than expected. So if you're feeling good about the Raiders this week, you know After their their big win last week Give some consideration to how good that Steelers defense is uh with tj wapping in there and Make sure you still want to bet the Raiders after considering those factors So power rankings there again top five teams pretty definitive for me Putting the 49ers back in there, uh after adjusting less down for Purdy and no Debo, but And then the Eagles back up there too once you put Hertz back in there before right now That is where things stand the power rankings Let's take those power rankings now and parlay them into week 16 and take a look at where we're seeing value for this week now talk before about how The jags and the jet scheme is interesting because one model likes the jags one likes the jets Had the same thing this past week where one model said bet the lions one model said bet the jets Now that's the different issue for this week But the the model that liked the lions obviously did wind up winning that bet Um or the the battle between the the two models there and that model wants to bet the lions once again this week So i'm gonna lay the two and a half with the lions on the road against the panthers now That word road may have gotten your attention because there's this this road and jared golf narrative and I don't blame them, you know jared golf in the past and he was with the rams Didn't look good when he played outdoors when he played in cold temperatures 29 degrees the temperature for this game But if you look at the games that jared golf has played on the road with a fully healthy amon raw saint brown this year He's at point 31 passing net expected points per drop back which is number fires epa model tends to be a little bit higher than some of the other epa models so scale that down a bit but Even if you just look at goss passing epa in those games, it's sick. It's a disgusting number So i'm not expecting that to continue to be that good But can they cover two and a half against the panthers? I think with this offense they Probably can i've gotten upgrade in there for the panthers with sam darnold. I think that they're a better team now than they were before I think that does matter But the defense is playing pretty good football right now Golf has been very efficient. He had the second icpa per drop back against the jets in a game this year behind Uh jacobi preset up there with joe burrow as well So this game opened at three got under three to two and a half overnight So I will lay to two and a half with the lines in this one That model's been hiding them for the past month and a half or so and they've been great So i'm not going to stop that now despite respecting what the panthers have done since adding sand darnold into the fold We've got the snow game in cleveland And again from a total perspective I'm not sure what to do with this one If I add the wind speed in here, uh, it does drop the total by five points. So that's something but Uh currently the wind speeds for cleveland versus new Orleans are projected at 27 miles per hour It sounds miserable I'm going to take the sames plus three in this game Both of my models say this number should be under three here Once you suck that total down to 31 and a half make it a lower scoring game I think that becomes even more valuable to get the three points here And what could be a very low scoring game the sames passing offense has been weirdly efficient under andy dalton counterpoint is that may not matter Given the weather but and we think a nick job We think always think a nick job when it comes to the winds being high bad weather like okay Brown's clean on the nick job, but the saints can also do that with tason hill and alvin chimera I think we're kind of overlooking the tason factor in this game I'm not as low on the browns as most people are right now I think that they've shown some signs of improvement recently, especially once you account for Weather last week the the ravens defense last week and stuff like that I just think this should be under three I'm going to take the points here and roll with the saints plus three against the browns for this week I talk last week about how I typically don't tease games because I have a hard time Finding multiple games. I like that bit the ideal criterion. Give me a cross and key numbers This week is very different because I think there are three teams that are Legitimately worth teasing those teams are the 49ers the titans and the ravens You can pick whichever combo of those two that you want I'll with the six point teaser with the 49ers favor by seven and a half against the commanders the titans favor by seven against the texans And the ravens favor by seven and a half against the falcons My two preferred ones here are the 49ers and the ravens I know there's the risk of lamar jackson out playing but i'm also a tad worried about ryan tannahill not playing for the titans I think lamar should be good to go for the ravens So my preferred route here would be to tease the 49ers to one and a half and the ravens to one and a half as well If you do that a fandal sportsbook, it's at minus 134. You can get a better number than that elsewhere So I would recommend shopping around. I got a minus 120. So shop around on this both with the Both with that count combo and with the others I've got the 49ers favor by 10.6 in this game the titans favor by 8.6 and the ravens favor by 8.7 So all three of those games showing value relative to their current spread in a vacuum and it gets me Teasing it gets me across both three and seven for all three of these games So I would give consideration to those three I'd prefer them as teaser legs versus straight bets because you are across the key number of seven and The odds and lands on seven exactly are pretty high the odds lands on three are still pretty high as well Which is why I prefer them as teaser legs versus straight up But all three very in play for me with baltimore in san francisco being the preferences for this week Finally, I think you could give some thought to the eagles with gardener minchew that number's at six right now My two models had the cowboys favor by 4.0 and 5.7. So again, it's six right now Which means the 5.7 one not showing a lot of value. Which is why I'm not taking it right now But I do think it becomes in play If this were to move more now it's still held steady at six for a while I think that's kind of the fair market value with where things stand right now We could see that extend maybe we get six and a half Maybe we get seven once Hertz is officially ruled out I'm not sure if that'll happen But I do think that if it does I'd have interest potentially in the eagles money That's plus 220 right now. I think there's value in that with minchew just because you know minchew is not as good as Hertz It's not close. He's a an actual downgrade, but I think the market's finally reflecting that now with this being at six points The infrastructure here is good. It's tremendous offensive line tremendous pass catchers the good defense as well So the infrastructure matters a lot and that's a general a big thing for a quarterback So even with a big downgrade from Hertz to minchew in my model I still think uh the models still think the the spread should be 4.0 or 5.7 So if we do get More movement in this game, I could see myself adding the eagles I got the cowboys a minus three even money yesterday So I have not taken the eagles here because I don't really want to nullify what I think is a good bet that's gotten good clv but If you see more movement Toward the cowboys is this one lengthens from six maybe to six and a half or seven if it gets there I don't think it will but if it does I'd be okay, but in the eagles at that point right now Currently a stay away for me Now let's talk about the totals because I did build out that model. I don't want it to go totally for knots and again Probably not going to bet the win games. Uh, it's it's tough. I will get a lot of data on heavy wins So I guess that's a positive to look forward. So I guess that's a good thing, you know looking forward We can be happy about that but I don't have a ton of confidence in where it's at right now to encapsulate the outlier spots in terms of The weather and the wind one spot where it's showing value the total model And the wind is not a factor is in indianapolis I want the under on monday night football for the chargers and the colts now caveat here is I took the under on colts vikings last week Obviously that did not go very well But my model is this total at 41.66. It is a 46.5 right now. You can get 47 still at some spots This chargers offense Isn't one that relies on explosion. It's not an explosive offense unless they're pushed like if they have to be explosive They can be which means if they were to fall behind against the colts like the vikings did they could claw their way back As to the colts offense, they're not going to have jonathan taylor, which means they're without their best offensive piece They might have a tougher time exploiting the chargers rushing defense This rush offense has been an efficient with taylor this year. You take them out probably going to get worse So the pace in this game is pretty high. That helps. Uh, there's no wind here that helps But I think these teams aren't that explosive in their current states Which means they're probably more under teams than they are over teams The chargers defense has also made a lot of good strides recently not necessarily against the rush But like overall so I'll take under 46 and a half try to dabble in that new model. See what happens for this week um I think that is the right way to read that monday night game between the chargers and the colts So to recap things I am locking in right now I'm taking the alliance minus two and a half against the panthers the saints plus three against the browns colts and chargers under 46 and a half and then considering the 49ers titans and ravens and teasers down to one and a half for the ravens and 49ers And down to one for the titans and if we get movements in cowboys eagles I'd be willing to add the eagles, uh, but Not totally sold that winds up happening. So Overall, I think it's a it's a week where we can't avoid the really bad weather Hopefully get some good value and we'll see how things play out throughout this week That's all we have for now for the week 16 first look Like I said, we'll have our full week 16 breakdown coming up tomorrow with austin swam going up in the evening On the fandal youtube page and on the covering the spread podcast feed before we close up for today Though got to look back at last week and recap stuff here on the show We had ed fang on to preview the world cup final What a blast that was uh, the entire match was a delight ed did a france to lift the cup at minus 106 And the other bet was even goals at minus 110. So obviously argentina one didn't get that one, but Even goals hit as they were tied to two entering extra time A split on ed there I had a lot of fun talking world cup this year even though I know nothing about it I enjoyed watching the games enjoyed talking about it with people who do know stuff about this this uh This sports i'm looking forward to talking about again in the summer for the women's tournaments That starts in july looked ahead in the calendar to see where that was So we'll talk about it then in the summer to get some women's world cup action But had a fun time with the men's side this year We had ryan williams on to preview the saturday and sunday nfl games find ryan on twitter at ryan alexander underscore w ryan went two four and one on the sides and totals this week He had the dolphins bills over 42 and a half and the jaguars plus four and a half The losses were the seahawks plus three and a half the bills minus seven The titans chargers over 47 and a half and the bucks plus three and a half push for riders on the chargers minus three so I still get year overall for ryan and i'm looking forward to having him in a few weeks again once he is back from fraternity leave Uh, so we'll talk to ryan then i'm looking forward to that for sure We had jay jzakari snon to talk props yardage bets were out pierce over 38 and a half and uh receiving yards and mike evans Under 58 and a half receiving yards and evans Finally showed life especially early in that game. I know the thing is kind of unraveling for the bucks But he looked good early on he looked good He got some yardage. I guess I should say early on he went over pierce went under Crazy positive script for the quilts in that game. They got ahead by again 33 nothing a half. So He got four targets didn't catch any of them Um, but the script there did not work in jj's favor touchdown. That was jk dobbins a plus 220 I think it was a good price shop. Uh, it was a lot shorter than that most places good matchup dobbins ran really well in that game They just couldn't score. Uh, so tough one on that one. Um, but It's kind of the way the that things go for sure when talking props my week was frustrating once again I had a couple underdog moneyline winners with the jags and the giants the jags Plus 180 the giants plus 176. That was good Uh, again the jags been a very good team to me so far this year the giants Not as good, but you know, uh had some fun there for sure got the push on them two weeks before With the commanders and that same matchups. That was good I lost the seattle moneyline a plus 154. I deserved to lose that totally fair I had the vikings colts under 48 and a half also deserved to lose that Other two were the eagles minus eight and a half and the vikings minus four the vikings Very clearly the better team in that game. They made mistakes. That's why they were down 33 nothing. That's why they had to scramble if you look at like the actual like Like the when they actually had to make drives the vikings were the much better team in that game It's still getting back to win didn't cover. Uh, they won by three. That was frustrating Eagles won by five. Uh bears had that touchdown uh to byron pringle It had they'd gotten over eight and a half and then uh the back I want to call it a backdoor cover that kind of That undersells the bears the bears played well and potentially i over or underestimated them So backdoor cover. I think wouldn't accurately portray what went down there I mentioned the eagles were a good teaser team If you tease them from eight and a half would have been two and a half I couldn't find anyone to pair them with hopefully you did because I didn't I took a straight at eight and a half Individual leg there that loss that was frustrating better frustrating year overall Especially with both the eagles and the vikings winning but not covering That'll rear to your but an annoying year good to get the jags and the giants But overall pretty annoying in week number 15 Finally, we had tom vecchio on last night to talk the rands and the packers find tom on twitter at dfs underscore tom Tom went two for three and yardage props probably should have had three for three there if not for an injury He was over one on the touchdown props. So if you scaled well, you likely profited despite the injury there The wins were robert tonion under 22 and a half receiving yards cam acres over 55 and a half rushing Acres finished 65 looked pretty good in that game tonion had four So easy wins there for tom on those two the loss was aj dillon over 49 and a half rushing yards dillon Was at 36 in the third quarter when he left to be evaluated for concussion and didn't come back He was looking really good in that game ran really well getting a lot of usage So the over probably would have hit had dillon stayed in but injuries are a part of betting props kind of how it goes um You have to account for that and your your uh In your handicapping so you know probably should have gone three for three But that's part of the sport for sure can't complain too much and still profit life for tom again If you scaled well touchdown bet was alan lasarda plus 270 lasard took a bit of a back seat with romeo dodds being back But overall, I think tom had a good read on that game and hopefully you were able to scale well and still profit there So overall toughly for the podcast. Um, hopefully we can bounce back here this afternoon week I don't know. We'll see. Uh, it's been been a rough year overall But we'll see if we can bounce back here in week number 16 I'm happy to have this totals model now to give another route for Find some value and we'll see how things play out for it this week That is all that we have here for today on covering the spread a big day coming up tomorrow As mentioned john rosti will spring spring by to break down his early takeaways from the men's college basket policies And talk about some surgers talk about teams he expects to bounce back and other takeaways That'll be up Again probably around 11 or so in the morning on the covering the spread podcast feed Then we'll have the week 16 preview of lost and swam coming up in the afternoon Four shows this week no show friday with jay jzak recent due to that being christmas eve So back with you or day before christmas eve Back with you three shows next week no monday night show next week Back with you tuesday wednesday and thursday if you've got any questions for me I am on twitter at jim sonnis and j i m s a n n e s You can also follow the fan dual podcast network at fan dual podcast want to thank you all for tuning in for today Good luck to you with your bets in week 16. We'll talk to you once again tomorrow Talk about some men's college basketball. This has been covering the spread right here on the fan dual podcast network


Morning everybody, Brett here, and today I'm gonna do the Monday morning lot walk, grab your coffee We're gonna get started right away As always all these vehicles will be in the description below Link to our website so you can go check them out there Got a lot of stuff in over the weekend, and we're ready to make a final push for the month of August here And I got a pretty month pretty good month going we got a bunch of stuff sitting so hopefully these new Vehicles that have come in will help us put it over the edge. Anyways, let's get started Starting off right here. We got a 2022 Ram 2500 big horn crew cab Short box sport this one has 18,000 miles on it Patriot blues the color good tires good wheels really nice condition Got a couple little dings on the tailgate that will get fixed But other than that really nice truck that just came in. This is a 2021 Ford F 350 power stroke diesel 10-speed automatic transmission Oxford white. This is an XLT. It's got aftermarket leather in it And it's got the FX4 off-road suspension package really nice truck from what I could see didn't see anything majorly wrong with it and Yeah, that's Oxford white. Anyways, we've got a 2017 grand Cherokee overland. This one's got a hundred forty four thousand miles on it Not sure if it's gonna pass inspection or not But black loaded up. It's got the v6 in it hundred forty four thousand miles pretty nice, right ride And right here. We've got a 2016 Chevy Silverado 2500 regular cab long box work truck. This one has 58,000 miles It's got this six liter v8 gas engine step bars on it pretty clean inside That's a nice shape and it's got good tires on it. That's in really nice condition. This was a trade-in over the weekend and What I saw it's in really nice shape and then up here we've got a 2014 GMC Sierra 99,000 miles on it. It's a double cab Gasser six liter v8 as well Leave that colors iridium Gray metallic also known as tungsten on the Chevy's That's a pretty nice truck. It's got leather and everything SLT The nice wheels on it. So we'll see if that one makes it through our safety Inspection and then I have a 2017 Dodge Durango GT all-wheel drive. This is granite crystal This one has 81,000 miles. That will be a very popular vehicle looks really clean as well It's got the tan leather interior second row bench seating. So it's a seven passenger and 81,000 miles that'll that'll be hot 2023 Ram 1500 Two of them right here. We just pictured those those are brand new vehicles. So We're not going to talk too much about them, but they're on our website and this is a 2019 Chevy Silverado 2500 Crew cab long box. This is a work truck as well and This one has 41,000 miles got good tires on it bodies in really nice shape that will clean up nicely That's a Yukon that I did videos on last week. So that's all done ready to go. This is a trade-in This is a 2018 Ram 2500 crew cab long box big horn and This one has 88,000 miles Really a nice truck. That was a trade-in as well. And then lastly we got a 2017 Jeep Grand Cherokee Limited This is kind of a base limited but in really nice condition granite crystal metallic And this one has 54,000 miles. So it does have the tow package on it and That'll be on our website as well. So hope you enjoyed the video Remember everybody finish strong for August get your deals out get them closed Also got that Chevy half ton in at the end there last week. That was a trade-in and not Sure on the miles, but it'll be linked in the description below and that was a pretty nice vehicle for trade Anyways, thanks for checking out the video remember to like subscribe and share try and do these every Monday But sometimes it gets a little out of hand and go to that website right there Summit auto comm full pictures and descriptions of every single vehicle. Thanks for checking out the video and have a great Monday