So welcome this morning or afternoon based on where you are. This is part of a series that we do here at the Center for Open Science that, in effect, is sponsored by one of our project's OSF institutions, which is a product, a suite of features on the OSF for research institutions of all kinds. And today we're going to highlight a diverse set of collaborations across open science that really involve a lot of different parties. And so let's take a look at some of these that we're going to have sharing today. Whoops, too far. So the PressQT infrastructure project is going to share Natalie, Noel, Rick, and Sandra. We'll hear a little bit about each of these individuals and projects here in just a couple of minutes. The Open Scholarship Knowledge Base, Marcy Reedy, will share a little bit about that. The Center for Information Technology and Architecture, Adrienne Rigabello is our guest from the Center. And then the Center for Open Science ourselves, as the host, I will wrap up, with a little bit of OSF institutions information. And one of the really exciting things about working here at the Center with OSF institutions in particular is that while these technology, the products that we work on is obviously a big part of what we do. Another really huge component of our work is working and speaking and sharing with really neat projects and individuals like these. So really appreciate having the opportunity to have them there, them come and join us today, but also just generally being able to host activities like these is really a pleasure. I'm going to give you the 90-second version of what the Center is for some of you who may not be as familiar with the Center and some of the things we do. Generally, our mission is to increase the openness integrity and reproducibility of research. And obviously that's a big, huge, broad goal with lots and lots of culture behavior change involved. And so we're structured to really take on that mission from three directions. We have a policy team that works with publishers and funders and many other bodies to create or encourage incentives for change. We have a research team who studies things like the current incentives or new incentives or new projects to see if those are actually encouraging the work that we are hoping, the changes we're hoping to see, and then infrastructure projects that I myself worked with that builds technology to enable those things that we're really asking folks to embrace as culture change. So with that, part of what I'm tasked with is not just sharing what OSF and what COS is doing, but really great practices across open science with our partners globally. So really, really thrilled to have some of our participants here today, just a few of the very, very many that I would love to highlight at some point. So to start with the PressQT project, I'm just going to share a little bit about their project, which itself is a technical and cultural collaboration. So Sandra, you want to take it away? So do you see my screen? Yeah, we sure can. Great. So I can start. So yeah, thank you very much for the invitation. I'm Sandra Gazing. I'm one of the co-PIs of the PressQT project. And I hope you still see me because I get messages that I cannot access the microphone. You're still here and see me? Yep. Error messages during a talk. Great. We are seeing your presentation mode. OK. Swap here. You know what? Let me, instead of trying. No, I didn't say in. Oh, OK. I know I have another slideshow in the back. I maybe just keep it as a full, so let's say, a presenter view. No, I didn't want that. Give me one more five seconds. Let me slideshow. If you could do the play from the press. I got it. I got it. So yeah, and Rick is also on the call. He's one of the co-PIs of PressQT. And Eric mentioned Natalie and John are co-PIs, Noel and Justin developers for the PressQT project are both on the call. And Brad is also a developer who couldn't join today. So what is PressQT about? If you look at the research data management and with the preservation landscape and the science gate base and workflow-enabled user interfaces, we have these really beautiful solutions. But sometimes they're not connecting to each other, like also apps and PressQT is there to build bridges between systems. So the idea is really we got first a planning grant and then an implementation grant to collaboratively design, develop, and connect repositories and data and software preservation quality to increase the quality of software preservation and data preservation. So if we look at the timeline, so the concept is that we look first at the community we asked and so the big survey, we had workshops to get feedback, how the tool design should look like. And then we looked at the different tools and services we would like to develop and co-develop this partners. And really on the stakeholder side, we looked at the main researchers, data curators, repository managers, librarians, software developers, workflow to develop. Yeah, you can see the list. And I hope one of these expressions or more you feel also targeted by, that this could be interesting for you. And you're one of our partners with OSF and the concept is that these are not standalone solutions that we are developing, but that really partner systems and services can be easily integrated. So if you look at the nice little circle, so we have a core team, we have partners and we have extended community being able to really use this and the, yeah, user centered open design and collaborative development is really important to us. So we have the stage that we have a couple of services. So additional partner system can be configured via JSON and Python functions. We transfer data in bagged format and all the metadata is added in JSON. We do already fixity checks, keyword enhancement we started this testing for fair and fair is especially also interesting, not only because it's a big topic at the moment, the community, but it's also, what does fair really mean? How can you test it? That something is really findable and, yeah, interoperable. So, and we have this pluggable configurable architecture. It's Vestful web services. We are going to APIs and a consideration of diverse structures and why are we doing this this way? Because of feedback and also the idea is that nobody has to leave their working computational environment that has additional features. So, and to see, for example, we look at different things. So we have the current target integrations include OSF, create and D as a federa derivate. We are using it, not add M, GitHub, Synodo, GitLab, fixed share. And we can search there. We can download, upload, transfer the upload and transfers and work at the moment at current and D. And we support also either services like easy or keyword enhancement. So I'm happy to go into more detail if you have questions about easy. But for the moment, I would say, I give it to Justin to make a short demo. And I start, I stop sharing the screen. Just don't, you probably can take over. Sounds good. You guys can see the Presquiti interface here. Yes. Okay, great. So let's do a transfer from OSF to Synodo. For Presquiti, we use API tokens from each target as validation or authentication. So we can see here the OSF resources I have for this particular user is just the three there. For the demo, let's transfer this one. You can also click through and see what's inside every project. You can download individual files, just folders, upload to folders or different projects, create new projects. For this demo, we're gonna transfer this COVID-19 project to Synodo. We'll use our Synodo token there. In Synodo, I just have this one project, which you can see over here. I could transfer into that project by selecting the folder. For this demo, we're just gonna create a new project. It'll ask what you wanna do with duplicate resources, not really relevant for a new upload, but if you were going in somewhere where it found a file with the same checksum, it would ask whether you wanna update a file or just ignore it. And then we have our keyword enhancement feature built into the transfer process. So what this will do is it will gather keywords over here in OSF. You can see in this project, we have animals and water as some keywords. We run that through a SciGraph API, which offers us enhancements and we can go through and select ones we wanna add to our project. So we'll select those. And then before we transfer, we just give you a few details about what is gonna take place. So we're gonna transfer the resource to Zanotto as a new project. It'll create a metadata file at the top level. And since we're also doing keyword enhancements, it will write a metadata file to OSF as well, just to let you know how those keywords were added to the project. It says where the keywords will be stored in each target. OSF only provides checksums for OSF storage files. This particular project just has files in OSF storage. So that's good. And COVID-19 will be written in bagged format as a zip file. Now this is specific to Zanotto as it's a finite target. If we were going to say GitHub or GitLab or transferring something to OSF, they have infinite structure capabilities. But since Zanotto is one top level project that contains files, we have to zip up everything we're bringing over. Just to make sure that that hierarchy is consistent with what it was at the source. So this will download. It'll create a zip to be passed over to Zanotto. Once it's successful, you can see we updated over here. We've got our new Zanotto resource, the keywords that were added. So if we refresh our OSF project, we can see that those keywords have been added. We've added this metadata file that has information about the idea of the action that took place when it took place and the keywords that were added based on the CyGraph enhancer and over here in Zanotto. We've got the COVID-19 project. You can go through and add all the information that Zanotto needs before you were to publish. This metadata file is based on the zip that was created on the PressQT server. And if we open the zip that we've uploaded, let me just move my zoom stuff there. This metadata file has information about each individual file that came from OSF and then all the files are inside OSF storage. And we can see that all the files pass the fixity checks and the transfer was successful. And that is all. Thanks, Justin. So the idea with PressQT is that we have shown the user interface which we have for demo projects but the idea is really that it's integrated in your Science Gateway, in OSF, in different solutions that people can really say, oh, I can use it directly to transfer files securely and with fixity checks to another system but also add keywords. And the next, what I said was what we are working at the moment on is really to do fair tests that you can get an idea like, oh, how fair is my data I have already in OSF or in Q-Rate and DR in another Science Gateway like Hive Zero and then you get a hint what could be maybe improved or what do you gain if you put it in the preservation system but you might lose on the fair scale of data. So that's the idea behind it. So, yeah, it helps with transferring data that people don't have to first download in one system and upload in a preservation system but couldn't do it seamlessly and also between different working environments. Any questions for me there? We're gonna go ahead and just go through all of our speakers, Sandra, and then we'll come back and do some questions. So thank you. Thank you, Sandra. And we're gonna now just go right over to our next speaker and that's gonna be Marcie to talk about the Open Scholarship Knowledge Base. Hello and welcome everyone. Thank you for joining us. Justin and Sandra, that was fascinating. Really appreciate you sharing with us. Let me share my screen. So yes, thank you so much for joining everyone. I'm going to put in a link actually. Excuse me, let me get back to the Zoom link here to put in a link to the Knowledge Base. I can do that for you, Marcie. Gotcha. Okay, sorry, as I put the link in, it removes my PowerPoint. So thank you so much. Appreciate your time, everyone. The exciting thing about the Open Scholarship Knowledge Base or OSKV that we're calling it for short. So this is hot off the presses. We're just releasing it now. We're really excited about it. It's a really exciting important time to have this discussion with you on this webinar with really, really recent information. I have put in the link to the Knowledge Base itself. So I invite you to click on that as I'm speaking, maybe click around, browse around, see what you think. I'm just going to go on a high level description to answer some of the most common questions, but the Open Scholarship Knowledge Base was built around the knowledge and understanding that Open Scholarship can be challenging, especially for people that don't have the tools or the background knowledge to really understand. They may want to enter into it, but not necessarily know how to start. So the concept was, let's create a platform that can ease that transition for them. Let's make this as easy as possible, building in an interface where resources were searchable, they were accessible, it was easy to upload and to have a discussion about them and very, very searchable for the people that were working on it. So that's what it is. It is a platform knowledge base that allows anyone that is searching for educational resources to access them very efficiently and easily. This is a list of the resources gathered in collections, as you can see here, to help organize and correlate them into ways that will make it easier for the user, as I was saying, that's coming in to search for these resources. So if we use the analogy of a library, this is an online library collection, the collections are the bookshelves that are there, organized by various topics that someone may go into the library and look for different resources they're needing, analysis, data, education, policy, publishing, reproducibility, research methods to help ease that search. This is an example of a resource that is included in one of these collections. So for instance, if someone was looking for a statistics curriculum and syllabus that they could use to help teach, they could go there. This is learning statistics with R and they could find something to support them. We realized the need for a searchable database like this, you know, years ago, of course, but never did we really anticipate the flood and the demand that we have right now, considering everyone is looking for online resources and everyone is looking for educational materials to support online instruction. So this is again coming at a critical time. Another resource just to share as an example of what you might find available. I'm a Harry Potter fan, so this is an article that's looking at the Harry Potter methods of reproducibility, you know, kind of fun and interesting. So if someone was looking to introduce the concept of reproducibility to their class, they could go online and find this article to share. So I've talked about how the OSKB is an online platform that makes resources easily searchable and it is. But what differentiates it is that it is a lot more than that. It is a very community-based tool. So this isn't just a technological tool that is remote and removed online. Like this is grounded in the community. There's discussions, there's interchange among scholars. It was conceived of and designed by the community and it's based in the community. So we really wanted and we really wanted to serve the community needs. So that is a underlying and non-negotiable principle underpinning the OSKB. These are some of the groups that also are created within the OSKB that enable that interchange and dialogue among the community members. So if we return to the library analogy, these groups of users would be the tables that are assembled around the library, study tables of users and people that were discussing and talking and learning together about a topic. So this is another way to help facilitate the organization of the platform into user groups that have similar needs and are looking for similar resources, have similar questions that they can exchange with each other. And these educators and researchers and librarians and everyone can help monitor their group and make the group usable and the most effective for them. So they can help edit content, they can help suggest content, they can look for content gaps to say, hey, we need more here. And really leave good feedback and input for their other colleagues all around the world. The why. You know, have talked a little bit about this and you know, with the recent demand for online curriculum, of course the why is even more in demand, but we recognize how quickly resources go out of date and they can be hard to find and there are barriers to entry. And talk about this. So we wanted to find a platform that eliminated or minimize those barriers and to really ease that usability for the widest, largest number of groups. Again, this talks about how the interface is designed to make it as easy as possible, the collections. We also have some detailed contributor guides. If you go to the OSKB that really has a detailed list of how you can submit resources. So the options are there submit resources from the web and existing resource or you can author an original resource. And it goes detailed step by step with that. Here part of authoring a resource you can see. And previously the presentation talked about the metadata that went through and keywords searchable. A lot of that is included here. I just included this as a general depiction to kind of get the type of information that we're searching for or that we're looking for when content is uploaded. So of importance is choosing a license. How is this? Is it open access? Is it creative comments? Putting author attributions widely within the work. Again, adding the metadata so people can easily find the resources, tagging the audience members and the groups so that it can be matched to those that were best needed. And all of this is part of what the community will help to monitor and regulate and make sure that that information is accurate and meeting the needs. Here is a flow chart that describes the process of beginning to end. If you're, I won't go into much detail. But interested in submitting a resource of how a user would enter there. They would upload from the portal. It walks you through step by step. But there is a checklist of materials that are acceptable. It's hosted on OER Commons. So following their guidelines, then you check the license, make sure it is open access. You find a group that it belongs to and contributed it. Then it goes to an admin review that looks and makes sure that the material is appropriate for that group. That it is an open license and is properly categorized. And after that is completed, it will finally be published and made available. So with that broad overview, we wanted to give different points for how people can be involved. We really, really encourage you to join this community and be active. Of course you can submit resources. Please join in. If you have your own resources, or if you know of others that you might be able to upload and share with other authors, the broader, the most diverse community we can get, the stronger it will be. Help us promote, though, as could be among your networks. If you hear someone that's looking for educational resources, looking for something to supplement the instruction, please let them know. And critically, consider being a hub or group administrator. That flow chart that I showed where it's a group and admin approving the resources that were submitted is a critical component of the hub. So if you have a couple of hours a week and are interested, we would love you to join our team. So in addition, we are having some training sessions that are going to go into the details of what I did broad-level. The intro to open educational resources and practices and contributing high-quality OER. We invite you to join these trainings and learn more about how the value of OER and open educational resources are and how you might be able to utilize them and how you can contribute those to a larger community. So we hope you will join us in doing that. And with that, I will turn it back to Eric and say, thank you so much for your time. Thanks so much, Marcy. So our last speaker today, Adrian, can tell us a little bit about CEDA. So if you can stop sharing that, he can start. Hi, everyone. Thank you, Eric. Thank you, everyone. I'm really looking forward to see you to participate actually in the OSKB project. It seems really useful and nice. So I will quickly introduce our activity here in the center for the OER. Down in the Royal Academy of Fine Arts in Copenhagen. So basically the project that we are starting to work with with OSF is called Fungal Architecture. I'm going to very quickly introduce it. Oops. But prior to the project, basically I just wanted to show some of the things that I'm going to talk about. The project basically I just wanted to show some context. So basically the goal of the project is to research and provide insights on building a Fungal Automaton at the architectural scale. So it's a European project with four partners of which one industrial, Mogu, and so we have CETA, which I'm part of, Utrecht and Bristol also. So obviously we are based in Europe and just far enough for the COVID to separate us as it's transnational. Just to introduce quickly to have a feeling of what CETA is doing. So basically we are doing what is commonly called in our domain, computational design, which means that looking through material properties, structural, thermal engineering, or different types of explicit datasets that we can get, we are looking at the way how to creatively use them in order to enhance architectural experiences. So for example, such a project involving mathematics, there is obviously a notion that very much architectural, to say, form finding of, I want to add you also, lots of projects in computational design can refer to optimization of resources, for example. This one here that you see involves computational design as computational geometry. For example here, a research on how to actually build those artifacts and then the bottom images, all the way, once we've built it, all the way analyze it, all the way compare the model to the realizations. And just as an example, another project here is looking at the creative formation of aluminum panels, I think it was aluminum, in order to optimize material usage, for example in this case, obviously at the bridge. So talking a bit more about fungal architecture, basically fungal involves mycelium, it's kind of the root system of mushrooms. And it has been explored for example here by the agency, the studio at the living, with 12 meters tower made of bricks. And now what we are looking at is basically making something a bit more monolithic and alive actually. And that's also why we are working with several partners because it's a fairly complex topic. And basically we are also, part of the project is that we are working with nature. So eventually we've non-protectable knowledge in a way. So obviously open source is at the core of the project. So in terms of structuration as I guess most trance organization of a research project, we have different levels of dissemination opportunities. For example, there is obviously a rather big bio design community, biohacking community that already exists. And that is at the time kind of a strategic partner, informal strategic partner to the project and also beneficiary to the outcomes of the project. Obviously among the members also there are collaborations happening even if different partners work on different sides of the project, trainings also that are shared between the different partners. And the framework of the funding that we have, which is always in 2020, the funding is also implying the production of open... I can't see part of the screen, but basically it's open hardware, open software and open data. So it's not somehow mandatory to produce it or to disseminate it within the project, but it should be, to some extent, part of the larger dissemination of the project. So it's a very important both naturally and funding related to the very important side of the project to us. And that's the most relevant image I found in order to explain my feeling about OSF is that we've all these different practices ranging from amateurs doing bio-designing their garages up to the mycology department in Lucrette. We have a very different set of tools and methodologies to walk through. And I find that OSF so far, I'm sorry about the blur, but I guess that you all know this kind of page, that eventually what's interesting is that we're in the same project. So here you can barely see, but I guess that you also have this experience, maybe that with the different components we can segregate the different partnerships that we have with different institutions or even individuals or different communities, which is a very critical point for us in terms of dissemination. And so again, if you started to use OSF, you know that there are quite a long list of add-ons and interfaces that you can activate, enable, both for storage and citation, which are to us very important, obviously, because some members of our communities we use, like GitHub, for example, also from the early description of the activities of our lab at CETA, you could probably understand that we are managing both, I don't know, datasets in front of CSB sites, for example, and also 3D scans and also protocols for making mycelium components, for example. So we have a large nature of the data and we say that we are managing and this is quite critical and something that we find very useful in OSF and the fact that it's allowing us to have this one interface for different communities. Okay, so I'm sorry, it's not a voluntary blur, but here basically if we look at one component, for example, we are using the wiki as a basic to-do list, which is useful for us because then we have also the files that are up to date below, obviously, people within our organization are also access to the different cloud services. And beyond this quite basic feature, something that is also determining for us is the citation. And yeah, I mean, when we are talking about bio design communities, for example, and people that are in places, it can be that people are not always constantly producing academic publications. So this is also a way for us, both in for our activities and also to, I mean, if a non-academic partner would say uses OSF, the person can be cited also in further walks, not only by academic peers. So this is also a very nice integration for us. And I would just like to talk a bit about that very quickly. So basically now we are just into the process of starting teaching activities that are related to our research project, finger architecture project. So for example, I mean, we haven't tested the way of interfacing with the students. Is it view only links? Do they need to create accounts in order to document the projects on the platform? That's something that we need to make sure a bit and hopefully share our insights in months or two. Actually, today with some fellows in the lab, we were talking also about the fact that they're just an optic paper pile for citation management for bibliographic management. So that's another one that could be interesting. We've been talking a bit also very about dissemination metrics that might be also useful for researchers to highlight. And so yeah, I would just like, I mean, it's not really in the order, but the time management of tasks could be interesting because for example, we are using a very simple trade of all, you know, to track our experiments in the lab. Obviously, it comes nicely with the text manager, the reminders that they are there. The fact that we can assign labels and so on becomes a bit visual. So that's something that's in use here and that could be interesting. And the fact that, I mean, you've quite understood that we are doing also something that is both with explicit data sets and with eventually more qualitative or passive data sets in a way, I may say so. So for example, we do have a use for mood ball, for example, like more visual sorting and intuitive sorting of information. So that could be eventually another thing to add in order to have another kind of typology of tools to be interface with. And that's about it. If you have any questions, I would be glad to answer. Thank you. Great. Thank you so much, Adrian. And I just take the opportunity as he just mentioned this. He and I had, excuse me, it talks a few weeks ago about some of these elements that he just called out there. And that's what I'm here for. So anybody, you want to come and chat with me about the things, the practices that you have, the tools that you use, and you could see value and whether they interact with OSF already or not, or maybe they interact by way of press QT or similar tools. Let's talk about it. Cause the only way I can, can improve in those directions is I know what you need and what you use. So please, please do come and talk to me about that. And my contact info will be in these materials that you'll, you'll get later today or tomorrow. Sandra, I see you posted a question for Adrian. You want to go ahead and articulate that one. Hey, cool. Yeah. Thank you both. Matthew and Adrian for great talks. So one question I would have. I mean, this looks fantastic. Interesting. So, so when you said, oh, open hardware, and I only know that we have the situation that people, yeah, like their tools and they want to try it. And therefore, for example, a partnership with hotel, which is a big extension of OSF framework to also be able to start tools. So it's this something you would be maybe interested in that would be dockerized because sometimes the problem is just I come from the EU, you hear my accent. Originally from Germany. So I know how it goes normally with the EU project in that regard. So can you collaborate on, let's say, putting tools and jobs from outside the EU on hardware? That's a good question. I think so because it's not, I mean, there is nothing specified about that. I think it's, I mean, there is no up to my knowledge, at least there is no notion of competitiveness or closeness, closeness, exclusiveness to European partners. And actually it's from our perspective, the community that we are engaged with are located also in the US. I wouldn't say unfortunately worldwide for now, but also in the US for sure. Okay, cool. So that, yeah, so maybe you could stay in contact and talk about a couple of things there that would be great. Great. Love to see things come together right here. That's fantastic. So I do, I have a question for both Sandra and Marcy and I'll start with Sandra here, but you guys are in two phases, two different phases of a similar quest where there is a technology of some variety, but you determined early much to our excitement that it's not technology that you build and hope that people come to it. It's community driven and determined. So what did that look like at the beginning for each of you in sort of shaping what the direction of the product or the initiative was going to be? Yeah. For Preskiti we really wanted to see what the community wants. So we did the workshops, we had in total two big workshops gathering from different stakeholders feedback and really asking questions like what kind of preservation systems do you use? What kind of gaps do you have?  And it was often very clear that people were like, okay, yes, I know there are preservation systems, but how do I get my files there in a convenient way, for example? How can I increase the data which is available? The other thing was our big survey. So we got 1,400 answers which gave us a lot of insights, what to do. So therefore we selected the features and it was also very clear that people have their own environments and to add another environment means another hurdle. So that was then the idea to say, okay, we are the bridge behind the scenes. But the bridge behind the scenes is hard to show without a demo user interface. So therefore we showed the demo user interface and we are also happy if someone says, you know what, I have the system and I work with it, but I'm fine with working with the demo user interface because it would mean more work on my side to integrate Prescuti. So there's no problem to use a user interface. It's just, yeah, it depends what people want. So that was, we had the surveys and the workshops and went from there and the other thing is an open process, development process, all the partners, everyone who's interested can contribute. So for example, they have every two weeks a community card who wants to join, who wants to give us feedback or say what everyone can contribute. We are, before we are integrating features, we're making suggestions to the partners that we plan it like this, open partners can come back with their feedback or say, oh, they would prefer other features or yeah. So it's a very open process involving all the partners and the community from the beginning. Yeah, that's such a critical question, Eric. Thank you for pointing that out and to echo what Sandra was saying, just really, we had a similar approach and was instrumental in launching the OSKB. We, as you pointed out, it wasn't so much that we had this idea for a tool and then we wanted to convince the community that it was worth their time and their effort, wanted to start with the community first, discover what they needed and then build the tool to meet those needs. So at the very beginning, we, or the development team outlined reasons why we may fail with the OSKB and one of the reasons was a lack of diversity among the community. We wanted to, above all, make it a very, very warm and welcoming space for everyone. So we wanted this platform and this interchange to have diversity all across it with the ideology and the disciplines that we didn't want it to be pigeonholed or where some disciplines were overrepresented among others and we wanted to have a diverse group of administrators with their backgrounds and their ethnicity to make sure that all viewpoints were heard and represented among that community and it really was at the heart of it because we wanted that open resource to be open for all and if it really was reaching segments of the community and educators that were really kind of already served or were already working within the open access space or already felt welcome in the open access space, then it wasn't really meeting a need because that community had what they needed. So we wanted to expand that and push those boundaries and bring in new people. So that's the continuing search is expanding the community Yeah, that's outstanding for both answers are really exciting because that's really a foundational belief for us here at the center. The community really is coming first. So for anything that you've heard today, I think all of us would love to hear your feedback and want to talk to you about how, whether you want to contribute or just have something you want to share that may be relevant, please do come and talk to us. So that just the last few minutes here, I'm going to share a feature that is part of the OSF institutions suite of tools that I mentioned earlier. So this is on our staging environment of the OSF, which, you know, looks and works the same as the OSF here.  What we can do is build a dashboard for each of those members now, and this is in production. I'm going to show you a staging one today just so I'm not revealing anybody's real data. But what the dashboard does is gather all of those users that are participating and if enabled those affiliations. So you see everyone on campus who's taking part is on OSF. You can see what kind of public project work they're doing. You can even see just a raw count of their private projects. You can't see their private projects obviously. A total count of users so you can track and see how progress is going on campus with your outreach and advocacy for these tools. This updates every single night so you can see it on a micro level if you really need to. We can also, based on how your identity management works, determine each user's department. This isn't self-reported. It's something that the university has metadata for that they may or may not release the third parties. But if they do release that then we can also associate users with their departments and you can sort and narrow down by those department levels. So you can see where you have clusters of activity and we'll visualize that too. So if you have an area of campus, so in a case like Adrian's when it is partners university of Bristol, their architecture program does a big push to get their work onto OSF. You can actually find your architecture program on here and see how that grows over a month or a couple of months. And then a total project count for determining or distinguishing between public work and private work. So this is available now in production. So I'm happy to chat with anybody that has an interest in learning more about institutions, OSF institutions generally or just the OSF and how it enables some really cool information for institutions to learn a little bit more about the kind of activities that researchers are doing that are kind of hard to distinguish without some tools that support that data gathering. So I'm just going to quickly check to see if we had any questions pop up in the meantime. I don't think so. But to keep a lookout for a follow-up with all of this material that we went over today and you'll have my contact information and please do feel free to reach out to us and we'll see one more question.  OK, great. Thank you. Marty, one question. Do you see maybe also the possibility that people when they're using your knowledge base are like, oh, I would like to have this in another system. This article, for example, in my instance of a preservation system or my instance of, you know, transferring data somewhere else. Because that would be, yeah. Yeah. We certainly, sure, would love to be able to form those interchanges. We haven't created that capability just yet or some of the technological connections to do that. But the degree to which in the metadata and all of the information created, the authors and the users can upload and then put attributions and links and sources and referencing back is strongly, strongly encouraged so that those network of connections and, you know, lines between everyone engaging in this work can be clearly drawn. Great. Yeah, maybe we also should follow up because you could talk about that. You could use Prescotti for getting, for example, into Synodo or in other systems. Just saying, yeah. Great. Thank you. That would be wonderful. Another example of collaboration in real time. Yeah, that's outstanding. Really, that's great. Thank you. Thank you all of you. The speakers, all of you that came and joined us to listen and really looking forward to conversations and conversations that this can inspire. So keep looking out for more material. And thanks again for joining.


So, Alex just gave a nice overview of how to solve a problem on D-Wave's QPU, and nice overview of our ocean stack, ocean SDK, so how to map application-specific application domain problem onto something that we currently support like graph mapping or constraint compilation and then to map that into a BQM, and then when you have a BQM, you can use some of the samplers to solve them. However, the problem Alex mentioned with what a few problems is too big to fit the QPU, then you need to resort to decomposition. You need to slice the problem onto smaller problems and solve each smaller problem on a QPU, and D-Wave Hybrid is the framework we developed. It fits in this layer of samplers. It allows you to construct a new sampler, which is a decomposing sampler. So, Hybrid stands for actually Hybrid Synchronous Decomposition Sampler Framework. It's a minimal Python framework. Heavily leverages ocean tools, and it's built atop of ocean tools. And the actual framework is just minimal syntactic glue that binds all that together, and it allows you to leverage quantum and classical resources because, as Alex mentioned, sometimes you want to solve some of the problems, portions of your problem on a classical or some sub-problems classically and some quantum, using a QPU or some other quantum machine. So, you need to have a way to combine those easily. And since they are Hybrid, basically as you will see soon, is a data flow programming model paradigm kind of language. Independent parts are executed concurrently, and concept of decomposition is inherent. So, usually when you want to use Hybrid, you have a large problem. So, problems are broken into pieces. And the concept of probabilistic sampling or probabilistic approach is embedded or quarked to Hybrid because we use sample sets or sets of samples to represent our solution. So, quick motivation. Imagine you have a pseudocode for your algorithm you want to use. Experts like that. So, you see you have some taboo search over there. You have a decomposition based on energy impact of variables at a particular sampler that you're deconstructing your problem at. Then you have some loops. Then you have some sampling on a QPU. And that usually translates to a thousand plus lines of C code. Specifically, this is QB solve and this is QB solve's code in C. And I imagine you can represent more or less the same algorithm using a few lines of Python code and a few blocks which are understood, which you can tweak or you can even create your own blocks. But the point is the structure is visible. So, the functional structure is like this, of the solver. You can see immediately you have a loop which in two branches try to run taboo. In parallel, it decomposes the problem based on energy impact, sends that off to a QPU, the one problem, combines the sub-solution back to a global sample, picks the better one. So, by the way, this red arrow here means in the racing branches, which I will mention briefly later, the concept is once the one branch is done it will interrupt the other one. It will get the best solution from the other branch. It will incorporate that into the final solution. So, we pick the better solution here by this argmin block and we'll loop until some condition is met. So, the idea is to visually outline the algorithm for code to be easy to tweak. Because you can easily tweak parameters, you can easily tweak structure. And also to extend you can create your own blocks. And benchmarking profiling is one of the core features. So, we profile by default. But also on the other hand we wanted to balance simplicity with expressiveness. So, this is not as general as it could be. You cannot build a general graph. You cannot build a terms-of-flow kind of model with this. Because we wanted to stick to functionality usually required by algorithms to be studied for decomposition. And we wanted to provide a library of such building blocks, which are then understood and easily extendable by developers. So, quick demo. I'm not sure you can see the code here. I can actually run the demo on the system. Why not? Because this is a short presentation, so I might as well spend some time on a live demo. And by the way, we have a higher latency here from Europe, but I can still ping the system. And this Wi-Fi is not that fast either. So, the total runtime for one sample is 1.5 seconds, which is pretty slow. But have in mind that it's Wi-Fi, it's Europe-to-U.S. connection. So, can you see? Yeah. Just a short piece of code. So, this is the workflow, which you saw previously. And then just before running that, okay. Actually, it's not. I'm lying. This is another one with a simulated annealing sub-sample here and not a QPU one. So, I actually need to use the QPU. Okay. I'll use this one. Sorry. So, now this is a little bit slower because the QPU block actually, in this step, where we are actually constructing the runnable object, we are contacting the wave and fetching a list of available solvers and picking the first one, which we actually use for QPU sampling. So, the workflow is defined. BQM. For this demo, I'll just use the simplest possible BQM you can imagine. Just a triangle with ABC nodes. And it's kind of a frustrated triangle. And then, based on the BQM, we will construct a state, a hybrid state, which looks, it's more or less glorified dictionary. It contains the problem and samples, but you can put whatever you want in that state. And then, you run the workflow like this. It's some state. You get the future back. And it's still running. So, it's sampling. It has several iterations that it needs to do. It's done now. We can see the results and the result is a final state, which in this case, you can see the energy is minus three and that's the ground state actually. So, yeah. Back to this. It's more or less that. So, as you might have noticed, the basic block is the class is a runable type, actually, which is a composable top-down. As you can see from the example there. And this is the one representation. This is maybe a more readable representation of the class. So, you can see that the flow which is being executed here. So, we have branch, tracing branch, arguments, samplers and all that. All components are runnable types. A runnable takes in a state and produces another state. It's executed synchronously. You can control which executor is it run in. And also, every runnable implements some traits. And traits constrain the connectivity with other blocks and also constrain input and output states. And every runnable is profiled by default. So, yeah. The other primitive of importance is the state, which is something like an immutable mapping type wrapped in a future. It's based between runnables. It carries whatever you need to do. You need to carry between runnables to solve your problem. Usually, that's a minimum. That's problem and samples or sub-problem and sub-samples. And the compliances for the input and output states is checked on runtime by each runnable. So, I would like to walk you through a small buildup of that simple example that we just saw. So, one way to modify the workflow is by tweaking parameters. For example, in the first example, on each iteration, we took only first sub-problem. Over here, we're saying, let's do rolling decomposition of 15% of the problem. And on each run, take some other sub-problem until you reach the 15% of the global problem. And you can go through, for example, the convergence criteria for your looping and things like that. But then you can easily also modify the structure. You can say, okay, let's not just run one sub-problem on each iteration. Let's unwind n sub-problems, depending on the size of the problem. And by the way, the size 50 there, that's the size of the generated sub-problem, which will be then mapped and solved on the QPU. So, for example, if we're solving this on, I don't know, a thousand variables problem on each iteration, you would have seven sub-problems or something like that. And then you would run those seven sub-problems in parallel on a QPU because, you see, we have them reproduced here. So, we would run the same set of sub-problems to seven, basically, parallel executing QPU sub-sampled blocks. And then you would introduce the results into one, and you would use that to inform and generate a new or next state in the next sample, which might be better or not than the one we got by the taboo solver. Another extension, let's say, instead of just running QPU in parallel on all the sub-problems at once, let's run maybe some other class, maybe some other sample, maybe similar to annealing, maybe just try with random variables, random values. So, we might escape the local minimum like that. And then you see the sub-sampler is defined as a parallel execution of QPU, and in this case, random sub-sampler in the workflow. And as I mentioned, and by the way, on the right-hand side, you can see the current structure of the QPU that Alex was refraining from talking, because I think it's important to understand that we are dealing with finite limits. And this is a particularly bad yield. This is not what we have in production, but in production we have more or less a full yield, and that means that every qubit is connected to exactly six other qubits as it should be connected. You see some connections here are missing. So, this is just one of the limitations you need to deal with. Decomposition is more general than that. I mean, when you're trying to multiply two large two big integers, if you cannot do it in a single cycle, you need to divide the problem and divide and conquer it. So, QPU and annealing could be thought of as a quantum machine instruction. So, one anneal cycle is actually execution of one instruction, and instruction acts on a problem, which is a full BQM, and gives you a set of samples. The thing is decomposition is there's no such thing as a general decomposition. You can't have one algorithm which will apply to any problem you have. You will need to tailor the decomposition algorithm to the problem you have at hand, and obviously the computer device. There's a paper called No Free Lunch, which talks about this. On the other hand, there's no shortage of ideas for the decomposition, how to do it. So, there are many heuristic approaches you can try, and also hybrid solvers. There are really many, many ideas how to implement them, how to approach them. And why I'm talking about this, because it's easy to construct your own runnable. You just need to extend a few methods there, and you can easily implement a new control flow block that you're missing in the hybrid. You can implement a new decomposition strategy you might have, or in your sampler, for whatever the matter. And we actually would like you to do that. It's open, it's free, so that would be great. And by the way, here on this picture here, we see the profiling thing by default. So, the timers and the counters that we have, this shows, for example, in this slipper runnable, we are sleeping for three seconds, and we can see that this patch next, the total execution is three seconds, because that's how much took for a racing branch of Taboo and Sleeper to finish. As I mentioned, contributions are very welcome. We have a list of ideas for things that could be done. I mean, the idea of hybrid is in early developer preview state, so things will be changing a lot. And not all of these are created as issues, and we have a repo, but they will, especially if someone is interested tomorrow. We have the workshop. So, I'm going to show you a little bit of what I'm going to talk about so if someone wants to hack a little bit, that would be great. Oh, yeah. And you told me I need to include a developer survey. We have a survey out in which we are trying to get a better feeling of developer requirements for hybrid and for ocean tools. So, if you feel like we would like to contribute, that would be also great. And the slides are available online so you can see the link there. Yeah. That's it. Go ahead. What is the largest number of variables you could imagine to solve using this hybrid approach? So, in the reasonable time, let's say half an hour. Yeah. Okay. So, the question is what's the reasonable number of, highest number of variables a problem could have? We could tackle with this approach. So, I'm experimenting with the problems of size 2000, 2500 variables. And I think we can, with some optimizations, we can go up to maybe 10,000 variable problems. But, yeah. So, for now, I would say around the realm of thousands of variables. But 2000 is what you have on D-Wave already? It's a good point. However, that's with a limited connectivity, right? So, imagine you have a fully connected 2000 variables, then you need to somehow decompose it, run it in sections and things like that. So, that's, yeah. Yeah. Go ahead. You mentioned at one point that you could use different methods to escape local minima. So, I was just wondering if by default the whole strategy is theoretically not guaranteed to give an answer which can escape local minima. So, the local minima problem still exists even though maybe the system is simulated on a completely quantum hardware. So, the local minima problem that still exists there or somehow circumvented? So, the question is about escaping local minima and isn't that solved by quantum device already? Something on those lines? So, the thing is sure, if you can solve, if you can fit your problem on a QPU and you can solve it on a QPU, most likely it won't, you won't get a local minima. We'll get some of the better solutions although it's a probabilistic. So, you might get some of the, and that's a good solution. However, when you're decomposing a huge problem, and I mean as Alex mentioned we have, we're working on problems of size, so hundreds of thousands of variables and eventually hopefully hybrid will get there. It's not quite there yet. But the problem is when you're decomposing and solving small problems, then sure, then you need to have some heuristic algorithm, optimization algorithm to escape local minima. Because only a sub-problem is free of that which is solved on a QPU. And you still have a larger problem and when you combine sub-problems and solutions to sub-problems, then you might still get an unoptimal solution. So, sufficiently large system could escape this problem altogether? Yeah, exactly. Ideally you would have a sufficiently large system. Anything else? Okay. All right, that's the number of questions. So, let's thank the speaker one more time. Cool. There are two talks about D-Wave.


Hey everybody this is Brett and today I'm at the 2022 Chicago Auto Show and we are checking out the Ford F100 illuminator concept all-electric truck. This one has actually two motors in it puts out 480 horsepower and 634 foot pounds of torque. There's a bunch of videos online about this truck and kind of cool to see it in person and up close. I'll show you the information that they have on it here. So it's based on a 78 F100 pickup and the color on it is Avalanche gray with Cerro Cote copper accents. Really a cool looking truck and yeah I just thought I'd do a quick video of it. Really good looking. Apparently you can get a all-electric crate motor from Ford performance now. So just a really cool car and or cool truck I should say and it does have the electric plug-in right there. Wish they were offering rides in this thing. Check out those headlights they're pretty cool. Old school new school LEDs. Let's say there's a camera in the front too. Really a cool ride. Too bad they don't let you get any closer than this. 275 45 r18 Michelin's on there and just a really cool truck thought I'd get a quick walk around on that. Thanks for checking out the video remember to like subscribe and share and remember check out all our videos from the 2022 Chicago Auto Show hashtag CAS 22. Thanks for checking out the video remember to like subscribe and share.


How the COVID-19 lockdowns will increase resentment of the elderly by Ryan MacMacon, an audio Mises Weyer narrated by Million Quinteros. In an article for the LA Times earlier this month, Laura Newberry contends that the COVID-19 panic has amplified ageism in the United States. This is likely true, yet the article completely misses the true cause. Certainly, ageism is a problem for many people. Reprehensible crimes, such as elder abuse, deserve our attention. Thanks to our highly mobile society, fewer people spend time with their elderly parents or grandparents. This has in many cases reduced the degree to which the elderly are regarded as important members of society. But it's unclear why the presence of COVID-19 should amplify any of this. The elderly have always been more susceptible to disease and disability. In bad flu years, do we claim that the additional deaths amplify ageism? That does not appear to have been the case. If we want to really understand how the COVID-19 panic will amplify ageism, assuming it does, we need to look no further than the politics of the government-forced economic shutdowns. How do the shutdowns increase ageism? Because the extreme and damaging nature of the policy response could lead many to perceive the current economic crisis with record unemployment as the result of a set of policies designed to protect the elderly, effectively at the expense of younger workers, parents, students, and families. After all, most people are aware that the elderly are at greatest risk to COVID-19. In many states, for example, 50% of deaths have occurred in nursing homes. 80% of deaths occur among those over 65. Yet, instead of isolating these populations and concentrating on targeting resources to help the most vulnerable, politicians have decided to throw millions out of work, destroy businesses, and close a multitude of social institutions such as schools and churches just to be on the safe side. But it's only a safe side for some. Thanks to the shutdowns, child abuse has increased, drug abuse has surged, and unemployment will likely lead to more drug overdoses and more suicide. Under these conditions, many are more likely to come to the conclusion that this is a case of governments choosing winners and losers. The elderly know that the COVID-19 disease is most dangerous to them. Politicians in turn pander to the elderly, who are a powerful demographic which votes in higher proportions than any other age group. The winners here, therefore, are the elderly, who seem to have the government's ear. The losers, meanwhile, are family breadwinners who lose their jobs, 20-somethings who can't start a family, children who can't attend school, college students who are paying thousands for third-rate Zoom classes, drug addicts cut off from the support they need, and everyone who needs now-band elective but actually very important medical services not related to COVID-19. It's only natural that this perceived political battle over economic shutdowns would lead to a relative increase in resentment toward the elderly in some cases. And the larger the economic misery gets, the worse the ageism will get. April's unemployment numbers were dismal, May's may be even worse. The wave of evictions and foreclosures hasn't yet had a chance to materialize, but it will. In the minds of the newly homeless and unemployed, some are likely to conclude that they and their families are living out of their car because the economy was destroyed in the name of protecting people who no longer are responsible for keeping children fed and clothed. This won't improve social cohesion. This would not occur to the same degree, however, had the matter not been politicized, had social pressure and education been used instead of heavy-handed coercive state methods to enhance health measures for the elderly. There would be no reason to look at this as an us versus them scenario. But this is what politics does. It employs the violence of the state to jail, fine and impoverish many in the name of ostensibly benefiting some particular group of people. The results in this case will indeed be an amplification of ageism. But these feelings are not completely unfounded. Politics is generally a game of one group using the coercive power of the state to extract benefits at the expense of others. If the elderly benefit from lockdowns, which may or may not even be the case, then these benefits are coming at the expense of others. Of course, not all elderly people want the lockdowns or ever asked for them. Many actively oppose them. But politics isn't about nuance or evaluating individual cases. It's about exploiting some groups in the name of helping others. In the end, the politicians benefit the most. For more content like this, visit Mises.org.


Should Asians save money for the future or should they live life now? This video is all about Asian frugality. So if you're excited about this conversation, please hit that like button right now Oh, man, this article just went viral on Nexshark and Yahoo! It is about a Japanese lady who ate for a dollar and fifty cents every day very very frugal lifestyle for 37 years and was able to buy three properties But this actually sparked a debate about how Asians should live. Did she deny herself a fun life? Should she have lived in the moment? Or did she do the right sensible Asian thing to do today? Joining us for this discussion is get the Lambo now Eric Pham. I mean What should she had done man? Was she right? Was she wrong? Does she have a bad life? Did she make a smart choice? Well, I know it's like I would not be able to do that I need that Lambo now not later you heard Right, you try to live and get the dope of me now But I mean I've seen it on both ends though like on one end Like I know a friend of mine that has a background that's super formally educated and they are very frugal on the other end I got a buddy of mine that's super fast money get a fast spending fast and then just spend it on then Yeah, I mean even in my own life I would say that my dad came from more one of those families where it's like, you know What you study really hard you get one good salary Maybe like yeah pretty much that's it and then you just like maybe make some really sensible low-risk investments But then another side of my family. It was just like double down Let's go big and go home. Let's take the profits and dump it all into the next investment and let's get rich Maybe and I see the pros and cons of both sides Yeah, and I think it's really important that people out there understand what type of family they come from so in the comments down below Let us know what type of family you were or even your parents are split, right? Yeah, maybe your parents have different types of thinking when it comes to money But what is your type of thinking? What was each background because you have to know because ultimately man You got to know what you saw growing up how you saw that money come in if you saw the money come in and how you saw it Spend so we're gonna get into some specifics here But I guess Eric you were telling us that your mom is kind of frugal on a lot of things And she's not frugal on certain other things Picked her spots where she likes I think I think for her She's always spending on like what she considers assets so like the LV bag the Rollies right because you could resell it You make that money right and so she thinks of those as investments property But when it comes to like something like food she will never spend on like if I get myself a hundred dollar wagyu steak She will always question me. Why are you getting them?  Yo, did you ever take your mom out to eat and then she's only criticizing the food being like I could make this at home with This in this every time me three dollars to make ten times we got to eat ten times She's gonna say right so I guess like let's just say here is the ultra educated super frugal way and here's like your gambling uncle That's like always up big or down way big and he's always looking over his shoulder for the bookie Where would you say like I mean I guess most parents are in the middle But like how do they decide where they're like lines are I mean for my parents I think they are kind of in the middle because they've saved up quite a sum of money My dad's really good with saving but his philosophy to us that he's instilled upon his kids is like What are you making money for so? You know make it while you make it and then spend it while you have it Do you think that that is at all driven by like the history and how they got to America and like possibly even like the whole Refugee experience 100% my dad always talks about when he came here at 16 years old by himself with like a 5% chance of living So every day he's talking about like tomorrow we can die So why not spend it now and I think when it comes to this whole aspect of we're talking about like we've said the word educated and not formally educated and I'm not trying to say like The just because you have your parents have degrees or went to college that they don't spend money But there is a pattern that we've seen through many parents talking to all my friends that if you look at the macro statistics It backs it up as well Yeah, where if your parents like our college educated and they went through life that way Oftentimes they're probably more frugal when it comes to material things and maybe will save up and spend all the money and splurge on Education or the things that they truly value while maybe you're more like merchant or business family They're gonna be always on the hustle and that's kind of like their lifestyle is to maybe just buy a few nice things to keep them Feel to keep their hustle field You know I think it really depends on what you enjoy because you were saying you're two Chinese friends, right? Yeah, one they run like buffets and restaurants. Yeah, and they have fast money and they don't even really care about going to school Right now and then you said your other friend dropped out of high school. It's really educated and he has a good salary But he's not living the fast life. Yeah. Yeah. No not at all So I guess would you say that they would hate to switch places with each other like they wouldn't like I think so I would not enjoy each other's lives. No, I think so, but they're both great people at the end of the day You know I'm saying but no, I don't think they would want to switch Which one are you would you rather go to Vegas with all right go face one boy that likes to go to the strip club You know which one that is right That's the fast money guy. Yeah Because that is a fujinese stereotype. I don't think so. I don't think so. I think he's mainland Yeah, it's probably Talking about I got to bring the culture into it. Yeah, because Kanto people are notorious for being Defensive with money like whatever they make they're very much like either just gonna save it and just Stop there or put it in a very very low risk investments I would say the way Cantonese people talk about fujinese or Vietnamese people is that they like to double down They're both Cantonese. I just remember. Okay, but they like they like to double down And would you would you agree that that is like yeah, I'm not saying a hundred out of a hundred I'm just talking about stereotypes because doubling down means investing and at least in my family's perspective So high-risk high-risk high-reward Well, like where have you seen it go good and where have you seen it go bad? You know when you risk too much that you can't afford to risk Like if you invest too much like if you buy a Lambo like if I were to buy a Lambo right now I I maybe could do that But my lifestyle might die right away and I might not be able to afford that lease or that might just not be a good financial Decision now if you can afford something like ten times over then you can probably afford it That's always the model for me.  It seems like the person who likes to save it Obviously, they're not necessarily driving the same amount of dopamine from deploying the capital, right?   They know what they're spending money on. They're like, yeah Oh, well, I like to get bottles at the club I'm gonna spend 3k because I like that and that brings me a lot of joy No, whereas you were saying you're educated from when you get him to spend about at a bottle at the club He's cringing the whole time. Yeah. Yeah. Yeah, and what I'm saying is like I think for especially for the people who are not used to spending a lot of money and splurging on things Oftentimes they don't fully understand what brings them joy and I think it's very important that you figure this out So whatever money you spend you want to deploy it Efficiently and effectively maybe you don't even have a fun group of friends Maybe you don't have maybe your friend group is not fun to go to the club So you shouldn't spend money on a bottle for your friends because it's not gonna be worse It's not even gonna be fun, right? And and some guys they do if you have the aids here hang over One two three and four squad where you guys are just gonna have crazy core memories whether good or bad Then it might be worth it spend on Vegas, right? Yeah, and and again also if you have trustworthy friends that are really deep in a real estate or something Then that's something that you could look into but maybe you don't have friends like that You know what I mean? I think a highly overlooked aspect when people talk about should I be like this Japanese lady and spend $1.50 On udon or should I be like the crazy uncle who's like always betting on parlays on this site? There are this gambling website is like what are the circles around you doing right? I was about to bring that up to like who are you meeting and what type of people are you meeting? Like if you have that Lambo you have that Rolex on you You're most likely gonna be surrounded by people that might actually have that as well because they're gonna value it Right because if you know with people who don't even care about the Lambo or the Rolex or the AP whatever And I talk to you why would you know not not to mention like obviously when you buy some of those luxury goods You can join those clubs like literally the meetups like the Porsche meetup the Lambo meetup You know whether or not you're scraping by and you're just barely making that Porsche payment You can still kind of be in that car club where you meet other people and that can lead to something It doesn't always but that's why a lot of people do buy certain things right because the attention that it attracts Well, and some of it is bad attention right because you become a target right and so you got to watch yourself a little bit more And that's why a lot of people who are frugal and humble. They're like, yeah, see I just don't want to wear anything I'm gonna be safe Sunset Boulevard, and I'm never worried about getting stuck up All birds and all birds people don't get All birds got big bread and assets, but they just look like last year a lot of Rolex Wow, I lost a role. You got it got Taken off me. I was going out and being you know flashy and everything and then I got a roofy that the bars I miss a purple woke up Rolex gun wallet gun phone gun So like it's high wrist higher word if you take that route is what I'm saying. Yeah. Wow. I guess some people Despite all the things that just happened you they gotta you gotta live that way, right? Because that's how you're wired right to Andrew's point the you make a lot of money and you spend a lot of money And that's what fuels you right? Do you want to live? Engines, you know how like the the gas combustion fuels the hybrid and like it's all synchronized the recycle Yeah, I mean for me, too Like I think about that little baby lyric where he like he lost a Ferrari and Las Vegas Nevada I woke up and went harder and got it again I mean I went I got another Rolex within a couple months So I'm gonna work harder all my via friends think like that. Yeah, not a 10 100 out of 100, but a lot do I mean I guess it comes down to like Just knowing whether I don't know. I guess it has to do with like your sense of like is tomorrow gonna come or not Right. Yeah, I guess you know what everybody watching Hopefully this discussion was helpful so far but let us know in the conversation where you fall in the spectrum because like we said like you can be everything from this Japanese lady who you know is probably a cat lady and is probably single I would say that I would say you would think that Japanese are not really like that new vorich new money Yeah, they like they have a lot of Shinto Buddhism Chinese and Vietnamese they have my my Hiana Buddhism, which is more wealth centric and more fortune gold centric Shinto is different from to Ben which is different from taravata like different even religious value systems different types of Buddhism to be honest Yeah, I think even can impact Your desire for fortune or not. Do you got the gold chain Buddhism or you got the more Shinto the Buddha is skinny in Shinto. Yeah, obviously the Chinese Buddha is very like luxurious a good Yeah, so I mean let us know what type of family you guys come from I mean, I think it's good to discuss and think about as you get older and when you start thinking about money and making money You have to know So yeah, I will say this my overall takeaway is just like Especially if you come from a family that's very defensive with money I think you can analyze and get around people who are more offensive and work to Make more money and then you might feel more comfortable with spending more right because you got to play offense and defense It's just I was compared to like tennis or ping-pong Like the best players of course some people are better at offense some people are better at defense Which is like making money or spending money deploying capital and other people are better at just like saving or being like Smart or frugal or thrifty, but it's like you need both. All right, everybody Thank you so much for watching that episode of the hot pop boys Again, let us know in the comments down below what you thought about our advice our perspective and also What type of spender are you or are you a saver or are you a mix and what do you spend money on? because certain things People value more than others. So all right, everybody. Thank you so much for watching Shout out to Eric for joining us and until next time we out. Peace


Every time we come across a structure of unimaginable proportions, staggering accuracy of engineering brilliance and artistically decorated with many brilliant conceptions that suggest thousands of people all possess the same set of skills to such accuracy where you could be forgiven for implying that these places were in fact built with technology rather than the hands-on approach. The truth, of course, is notably expressed through myth. The great deception was to place the truth within ancient text, and within these texts the dots are joining up. In Hindu mythology, for example, within the epic Mahabharata, there is a machine that is described that could have been responsible for creating such places like the Kailasa temple, which is said to have been carved from the top to the bottom. That's impossible, right? For this to have been done by humans alone would appear to be impossible, but in the very ancient times, the time of the gods, the golden period, a universal tool existed belonging to Lord Brahma, the creator of the world. This device is known as the Brahmastra. Just wait till you hear this. In Hinduism the word astra means supernatural tool or weapon, although different versions of this technology was said to have existed, it is not thought they were of the same magnitude, even though some were thought to be more powerful at certain tasks, the intentions for each astra are varied, from one god to another. In the wrong hands, the device can be used to conquer, to destroy, but what if its original intention was to create? The structures of this world are obviously of incredible proportions. Is it possible that these types of technology were used to carve, move and even sculpt majestic sites across India and similar tools into the broader world in the very remote past? As described in a number of prana, divine stories of the gods, it was considered as a very destructive weapon. It is said that when it was discharged, there was neither a counterattack nor a defense that could stop it, except by another Brahmastra. It never missed its mark and had to be used with very specific intent and the user would have to display immense mental concentration. This description of a supernatural device is clear evidence of lost technology from a lost period in history. The Indian epic describes a war or a great battle. These astra tools eventually became weapons, Brahma was the creator, Vishnu the protector and Shiva the destroyer. You don't need to look hard in India to see creation or destruction, but we also see preservation and protection. This could be a very fine balance in which the gods intended to stop the scales from tipping in any one people's favor. Just a thought, interestingly it is thought that Nikola Tesla also developed the technology described in the Mahabharata in the form of his death ray weapon. What do you guys think of the ancient technology described in these texts? Comments below and thank you for watching.