If you'd like to know how to record your synth, drum machine or electric piano using your computer, you're in the right place. We're going to be going through step by step what you'll need, how to connect it and how to set up your software. But first of all, there's a few important terms that you need to know. There are links in the description down below for all of the products mentioned in today's video. And if you follow the link to our sponsor DistroKid, you'll get 7% off an already amazing price to distribute your music to the world. So our first term is synth or synthesizer. What do I mean by that? Well, I mean something like this Arturia Mini Freak, which actually produces its own sound, even when it's not connected to a computer. This could also include things like drum machines or electric pianos. And it's different to something like this. This is the Arturia Mini Lab 3. It's a controller keyboard and it actually doesn't produce any sound by itself. It needs to be connected to a computer where it controls the sounds from the computer. If you'd like to know how to connect this up, then you should watch this video just up here. But for today's video, we'll be focusing on synths, drum machines and pianos that actually produce their own sound. You can hear me talking about audio interfaces. And whilst they're not strictly 100% required, they're close to it, in my opinion, because they make it so much more efficient for you to record audio on your computer. They also provide much better connections than the three and a half mil jack that you'll find on your desktop computer or laptop. Now talking about connections, I've got a couple of examples here. The first one is the Arturia Mini Fuse 2. And on the back of this audio interface, you'll find two MIDI connections. Now we'll talk about what MIDI connections are used for a little bit later on. But this is important because on something like this popular Scarlett 2i2 from Focusrite, you don't find MIDI connections on the back. Now whilst that's not a deal breaker, and we'll talk about how you can work around that, that may be a consideration for you if you're in the market to buy a new audio interface. You're going to hear me using the term DAW, an acronym for Digital Audio Workstation. This is the software that we'll be using to record our synth on our computer. And it includes products such as Pro Tools, QBase, Logic Pro, FL Studio, Ableton, Studio One or a free DAW which I'll be using in today's video called Cakewalk. But regardless of which DAW you'll be using, the principles remain the same. There are two types of connections we're going to be using from our synth. The first is audio or sound. So the sound which is coming from the synth. The second is MIDI, M-I-D-I. Now you don't need to know what it stands for, but it's important you understand what it does. Because importantly, MIDI does not transmit or receive any sound. Instead it transmits and receives something which I'm going to call events. So for example, when you press a key on your synth, it knows which key you pressed, how hard you pressed it and when you released it. It also knows when you've used the sustain pedal which is connected to your synth or sometimes when you adjust knobs on your synth. These are all events but we could say they're also your performance. Now importantly, because MIDI is only recording your performance and not the actual sound, it means that we can do things like change the sound later on after we've actually played the part. It also means that we can really easily make adjustments to our performance in our software including correcting mistakes or changing a note from one to another or even doing things like speeding up or slowing down the tempo after we've actually performed the part. Now you can connect your synth up to your computer for MIDI in three basic ways. Let's look at the first one. In the first scenario, both your synth and your audio interface have five pin MIDI connections and the most important thing to understand here is you're going to need one cable which connects from the MIDI out of your synthesizer to the MIDI in on your audio interface. The other cable is going to go from the MIDI out on your audio interface to the MIDI in on your synth. What is happening here is events from your synth get transmitted out and then into the audio interface and likewise during playback events are played out from the audio interface and into the synth so it knows which notes to play etc. The second scenario is useful when you have an audio interface that doesn't have five pin MIDI connections or you don't have an audio interface at all and it involves using a special cable which has MIDI connections on one end and a USB connection on the other to plug straight into your computer. Now I've got a couple of these. This one is a more modern one with a USB-C connection to connect to the computer and this much older trustier one of mine has a USB-A connection. Now with the MIDI connections they will normally be labeled in and out and you simply plug the in plug into the in MIDI connection on your synthesizer and the out to the out connection. Now a word of warning you'll see cheap versions of these cables available on places like eBay. I've ordered some of them in the past and a number of them simply didn't work so I definitely recommend going for a well-known brand with these cables and I'll put some links in the description for that. The final option is where your synth actually has a USB connection and in this case we simply use a USB cable to connect up to our computer but there's three things I want you to consider with this scenario. Firstly that USB connection may or may not be usable for MIDI. You'll have to look in your manual for that. Secondly if it is usable for MIDI you may need to set that up in the settings of your synth. You may need to switch it on in other words and finally usually it is just used for MIDI and not for audio okay in most cases. Now talking about audio let's look at how we connect up for that. So the way that I would recommend that you connect up for audio is using any quarter inch audio outputs that you have on the back of your synth going to the quarter inch inputs on your audio interface. Now with some devices they may just be mono so they'll only be one audio output in which case you just use one input on your audio interface but in many if they're stereo synths there'll be two outputs one for left and one for right and whilst you don't have to I generally connect the left output to the first input on my audio interface and the right output to the second input on my audio interface. Now in some scenarios you don't have quarter inch outputs some synths will have say a three and a half millimeter output in which case you'll need to get a conversion cable from three and a half mil to two quarter inch jacks or one quarter inch jack and the final scenario is where you don't have an audio interface where you're connecting straight to your computer using its three and a half millimeter input jacks. I don't personally recommend this method but if you really want to again try to use the quarter inch outs on your synth and you'll need a conversion cable to go to the inputs on your computer. So now that we've made all of our connections we need to let our software our door know which MIDI devices to use for recording and playing back MIDI. Now of course this is going to be different with every single door but I'll show you here in the free door Cakewalk by BandLab where the principles are the same as most other doors. So I've opened up my preferences and I've gone to the MIDI devices section and you can see there's two main things to set up here MIDI inputs and MIDI outputs. So for my MIDI inputs I have selected my mini fuse to MIDI in port okay. I've got a few devices on my system you may just have the one and that'll make it easy for you but in this case I'm choosing to use the mini fuse for MIDI input. Likewise in the output section I'm choosing the mini fuse to MIDI out which I've got selected here and that is going to make sure that anything I've recorded in terms of MIDI also gets played back to my synthesizer. Now once I've set that up in the door itself I've created two tracks one is a MIDI track. Now when you come to create this in your door it may be called a MIDI track or it may be called something like an instrument track but make sure it's something where you can select that MIDI device that we've just set up in the preferences there as your input and also as your output. Now you'll notice here I've also created another track this is an audio track so let's talk a moment about setting up audio. Now exactly how you set up your audio interface with your door depends on the door but do make sure in your door's preferences that you've selected your audio interface as the main input output device. Once you've done that go ahead and create an audio track and make sure that you've selected the correct inputs from your audio device for your audio track. Now you may have created a mono track in which case you will select just one input or you may have created a stereo track in which case you'll select two inputs as I have here. I've got one single choice here for inputs three and four on my audio interface and that's going to enable me to record my synth in stereo. So now that we've got everything set up I'm ready to do some recording. I'm actually going to start off by recording MIDI only. You can see here with my MIDI track I've got it armed for recording so I'm just going to go ahead hit the record button and play a few bars. Now after I've hit stop you can actually see all of the notes I play there you can see them in the track and then down here in the piano roll and this is where I can do things like correct some mistakes so there was a couple of notes I fumbled there this one here for example I'll just go ahead and delete that little note there and another one further on I'll delete that one and I could do things you know like move notes around and whatever I want. Now interestingly what I can do now before I play this back is actually change to a different patch on my synth so I'm going to change this to Krusty Pluck and let me play the MIDI back and you're going to hear a different patch. So that's the kind of thing we may do before we finally commit to an actual sound so let's talk about recording the audio. Now we come to the easy part actually recording the sound of your synth the audio talking about easy if you use our sponsor DistroKid to distribute your music to the world they make it super easy you simply upload your track your artwork fill in a simple form and DistroKid does all of the rest for you follow the link in the description down below. So in order to record our audio we first of all need to go to our audio track arm it for recording and then simply hit the record button in our door. Now in terms of playback there's a couple of things I want to make note of once you've recorded your audio I would advise that you go to your original MIDI track and mute it why because when you play back you may get two sounds the recording of your synth and the real-time sound of your synth as the MIDI plays it again so I definitely would mute the MIDI track. The other thing you may notice is there's a slight delay in the audio if we zoom a long long long long long long way in here we can see that as the MIDI starts to play here there's a little delay when the actual audio the first note starts to play there there's all kinds of ways to actually solve this but I take a very low-tech approach and that's to grab it and drag it off to the side and line it up visually which is going to be just fine 99.9% of the time. Now if you decide to try this out using the currently free door Katewalk by BandLab then you may also like to check out my beginners course for Katewalk by BandLab there's a link for that and a discount code in the description down below. Thank you so much for watching today and I'll see you in the next video.


It's theCUBE at the MIT Chief Data Officer and Information Quality Symposium. With hosts, Dave Vellante and Paul Gillin. Hi everybody, we're back. This is Dave Vellante and Paul Gillin is with me. We're here with Jeannie Ross, who's a director and principal research scientist at MIT and has written an article sort of that's got a lot of attention lately. It's called, you may not need big data after all. Of course, we always talk about big data on theCUBE and we go around to all these shows. We like to extract the signal from the noise which sort of came from the big data world. Well, first of all, Jeannie, welcome to theCUBE. Thanks very much for coming on. Thank you for having me. It's great to be here. So what was the motivation for this article? You're sure you got a lot of buzz around it and a lot of people probably have said, what do you mean we don't need big data? So where did this come from? The motivation was a concern about the hype. I was worried because people would say to me, oh, we have a new role in our organization. We gave this person $2 million and told them to do something fabulous with data and I thought it sounded like the recipe for disaster. So we went out and looked at companies getting real value from data and our sense was that more often they were taking the little data that was all over the place and they were using it really wisely. So I have to tell you that title is not mine. I wrote to HBR and submitted an article that basically said people can work smarter with their data and they said, great, we'll call it. You may not need big data after all. It's their title. So Paul, you came from the world of titles, right? You know the title is everything in that business, right? Well, I also know that hype is everything. This year, it's been all about big data and there's a lot of money being thrown at big data, huge market valuation, big data companies. In the moments before we went live, we said that you're playing the role of spoil sport. How real is the hype right now? And when all this shakes out, do you think that this is a major new way of doing business or are we in fact going to distill it down to the value that you were talking about? The value really is in just learning how to use the little stuff. Actually, I think you grow into big data. I really do believe the opportunities are out there. What's interesting is they've been out there for a long time and some companies have used them brilliantly. I don't think there's an oil company out there that wouldn't tell you big data has helped them decide where to put their next billion dollar well. And so if that's what you do on a daily basis, decide where to put billion dollar wells, I think you should be into big data in a big way. But for a lot of companies, it's about understanding their consumers better and to go out and get big data about those consumers before they're able to adapt to the little things they already know. Many times we know great things about our customers. We haven't figured out how to address them. So we go get some more insights. We won't be able to address those either. And I want to follow up on that because a lot of small companies are scared off by this big data phenomenon. They think we just can't do it. Is that misplaced fear? No, actually, if they think they can't do it, they probably can't. I think the thing that's limiting companies is their ability to respond to a great insight. It turns out you have a great insight. That's just the easy piece. The next thing you have to do is change your organization to take advantage of it. For many companies, that is a Herculean task. They've never learned how to transform their processes. And these new insights are basically demanding the same thing they haven't been able to do before. So when we have conversations with executives on theCUBE, a lot of times we'll ask them, are you a data-driven organization? Oh yes, we're a data-driven organization. Is that an illusion that there are a lot of data-driven organizations out there? I think so. I think what we all are truly becoming is metrics-driven. And we are collecting more data towards our metrics. And I think this is all a very positive thing. But I don't think most companies are yet data-driven where they say, what does our consumer want? Let's take the data we have and respond to it. I just don't think that's the inclination. So metrics-driven would be a division optimizing on a particular data point, whether it's, let's say bookings or customer retention or whatever it is. That's very popular. Right. But that's not data-driven. No, and here's the thing. I think we often find that we can respond to certain kinds of data, but to really be a data-driven organization, we start to ask ourselves, well, what data really matters? And right now, what we see is a lot of companies that have been very product-oriented, saying, oh my goodness, it's really all about the consumer. So one of the companies we studied was Foxtel. It's a pay-for-TV company in Australia. And they said, we had all the data in the world about our products. We knew which ones sold. We knew who bought them. We knew what stations people wanted to watch. What program they wanted to watch after the prior program. But we started to realize that that didn't help us make decisions. If we could look at the results, but it didn't tell us what to do next. When we went back and said, well, let's learn about our customers. And we started to understand our customer segments. And we started to understand what these different segments like to watch. Then we said, oh, okay, that would be really data-driven because we can anticipate their needs. But you know what happened?  And they said, that was just incredibly hard to do. They didn't have the stomach for that. So do I need a CDO to be data-driven? I think that's such a great question. My sense is no. But I'm sure there's exceptions. I am sure there are places where it's just they get the right person, they're in the right position and it makes all the difference. But the risk is you're going to hire a CDO and say, oh good, somebody will take care of data. I don't have to worry about it. Go figure it out. Exactly. I wanted to speak to one of the examples you used in the HPR article, which was Southland and 7-Eleven, and how they really changed their business not by creating big pools of data, but by investing more decision-making in the employees. Why did you choose that case study? What does that teach us? That case, I think, is my favorite. This is a company that said, okay, we have 200,000 part-time sales clerks. They know the customer better than any computer ever will. And what we're gonna do is we're going to give them good data on what's sold. So we're going to give them data so they can become data-driven, not just instinct-driven. But we expect them to supplement that data with their instincts, with what they've learned by talking to customers day in and day out. And then they said, we will coach them. We will teach them how to use data. And I think that's the piece that most companies don't realize is key. I mean, you can give lots of people lots of data and say, okay, guys, be data-driven. But if you don't teach them how to be data-driven, most people will not know how to respond. Well, in fact, most people are not numbers-oriented. They're not data people. So should your goal be to teach them how to be data people or to teach them how to use data without having to think about it in analytical terms? Well, yeah, I think you don't want to say, now I'm gonna teach you how to be data-driven. The beauty of the 7-Eleven approach is these counselors that come in twice a week, every week, and say to each individual sales clerk, what was your hypothesis last week? And they actually know the answer when they ask the question, because they can pull out the sales. Their hypothesis is that the things they ordered would sell. And then they can say, how did you do on your hypothesis? And they know the answer to that. They know if it's sold or not. And then they ask the magic question, what can you do better next week? And that's when they sit down and they have a conversation about, well, we know this sold, we know this didn't. What have you heard from people? What do you see in this data? What's going on in some other stores? Let's figure out what you might do next week. And many people will respond to that by becoming without knowing that data-driven. I think it was Gartner that came out and said that the CMO is gonna spend more money than the CIO that started the Big Data Hyper. The modern era, the last six months of the Big Data Hyper, I should say. So one of the best practices that you put forth in your article was you got to have a single, I'll call it the single version of the truth. I think you called it a single source of data truth. A lot of people say with this move toward so-called Big Data. And I look at Big Data as a different approach to analyzing data that can't be stuffed in a single box. That's what's different and that's what Google sort of created and Hadoop created. And many have said we're further away from a single version of the truth than we ever have been because of that. So help me square that circle. I think it's a great question. And what we realized as we were studying this is there's actually two kinds of data that are really important here. One is the performance data. And that's where you run into real issues because everybody keeps their own. I think we included in the article the example of Epna where Ron Williams comes in, the company has lost $600 million and every one of his business unit has a spreadsheet that says my division made money. And he says, okay, I'm not using your spreadsheets. And that's where you have to say this is the data we're using and not worry about whether it's accurate or not because it'll be made accurate if we're all required to use it but rather say this is what we'll rely on and then everybody knows what the metrics are that matter. So that's more around performance data, that single source of the truth, but you also need really good data about your customer. And to your point, it won't all be in one place but we will all agree on what data we're relying on and how we're going to keep it up to date and how we're going to make it reliable. And that data also, single source of truth may not be the right start. Well, essentially you're saying you've got to have a single source of truth for the different types of business processes that you want to optimize. Yeah. Yeah, okay, well that makes sense. So is the role of the chief data officer then not so much to manage data but to teach people how to use information in ways that are meaningful to the business? I think so, but our risk here is that we'll all think that the chief data officer will take care of that. One of my favorite examples of really good use of data is a little company called Protection One. It sells security systems. And the CEO said, I want people to start understanding their real results and what actually will make this business successful. So what he does every morning is check the numbers. He has a scorecard. He calls all of his direct reports and they talk about anything that is a potential concern in those numbers. And he always ends with, what do you need from me so that you can make this better? And then he said, I am modeling the behavior. The next thing they are to do is call their direct reports and ask the same questions about what the data is saying and how we should interpret it and what are the potential issues and what do you need from me? And this goes all the way down to the branch chiefs who are responsible for bringing in their people every day and saying, this is my understanding of how you did yesterday. What do you need from me? And it changes the culture. It takes time. He said he was actually surprised how long it takes but it does change the culture. I want to come back to the CDO question. When you consult with organizations and they ask you do I need a CDO? It's an it's depends question. But when you get to the point of yes, the CDO makes sense in this organization. Certainly financial services and a lot of government organizations and healthcare are moving in that direction. Do you buy the premise that the CDO should be independent of the IT organization? Ah, well it does depend exactly what you're trying to get from the CDO. My guess is yes, that if you're looking for someone to take a very targeted strategic initiative forward. Here's some data we want. Here's how we want to use it. I would imagine it's if someone you want to partner with IT, not put in IT. But you know these things I think do depend a lot more on the people. And we've talked to all kinds of CIOs who are not reporting to the CEO which is supposedly what every CIO would want to do. And they say well it doesn't matter who you report to and it matters who you influence. And we've found many of the best CIOs are actually not reporting to CDOs but they're having enormous impact. I think that would be true of the CDO. You don't want to be a CDO if people aren't very clear about what you want to accomplish and give you the authority to accomplish it. It won't matter what organization you're in if they haven't set it up that well. And you feel unbalanced the CIOs will get over it. Oh yeah. I think CIOs more than any thing want to have a positive impact. So if they have somebody who says I am going to make data valuable in this organization. You've got a CIO who's very excited. All right I think we got time for one more here Paul. I just want to go back to an example because I think it's so illustrative. Everyone having their own version of the truth that together rolls up to a big lie. Doesn't it seem the companies need to overcome the culture against failure, the prohibits failure and then encourages CYA mentality so that everybody has their own version of the truth because they don't want to fail. Isn't that where we have to start? We're really going to have to start there and that is going to have to be modeled at the very top of the organization. This has to be about we need to make mistakes. Otherwise we won't learn fast enough. Let's understand the mistakes we've made, what we expect to learn from them, how we're going to go forward. And yeah I think we have to not only allow mistakes but I think we have to encourage mistakes. I think we want to talk about how we get smart about making mistakes and moving forward but it's going to have to start at the top. You can't take somebody in the middle of the organization and say, you know, don't be afraid to admit you made a mistake. I don't think that goes well for a lot of people. All right, Jeannie Ross, we have to end it there. You have to get back to the main stage. Thanks very much for coming on theCUBE. It's really a pleasure having you. Thank you, it's great to be here. All right, keep it right there everybody. We'll be back. This is theCUBE. We're live at MIT in Cambridge. We'll be right back.


Income tax 2023-2024, taxes you paid overview. Get ready and some coffee because we're laying down the facts about income tax preparation 2023-2024. Most of this information can be found in the instructions for Schedule A Taxure 2023, which you can find on the IRS website at irs.gov, irs.gov. Looking at the income tax formula, we're focused on what I would call the below-the-line deductions. More specifically, the itemized deductions. Remember in the first half of the income tax formula, it's basically a funny income statement. Most income statements having income minus expenses resulting in net income here having income minus various deductions resulting in taxable income. Noting for taxes, deductions are good. Therefore, we're typically looking for more of them. The difference between the above-the-line deductions adjustments to income, in other words, and the below-the-line deductions being that the above-the-line deductions do not need to clear a hurdle, such as that standard deduction before we get a tax benefit from them, whereas the itemized deductions will need to be greater generally than the standard deduction before they become beneficial to us. Looking at the first page of the Form 1040, line number 12, where we take the greater of the standard or itemized deductions, the itemized deductions coming from the Schedule A. This is the Schedule A itemized deductions categories on the left-hand side, although this is not the entire form. These are going to be the standard deductions that we have to keep in mind because those are the hurdles that we need to clear before we can itemized if we are a single filer. For example, standard deduction we would need to clear is the 13850, double that for married, 27700, head of household in the middle, 20800, and if over a certain age and or blind, we have increases to those standard deductions that we can see on the right-hand side. If one or both of those are met single for married couples, you can have one to four of those items being met with the two people.


What's going on everyone? Sam here with LaytonSportsGuards. I don't have the boxes in front of me yet. Ripon2223, Penino Mosaic, basketball hobby, 6 box, half case, break number 35, pick your team style. Let me get the boxes first. Come on. I know, I know, PYT. Yeah, Jim, if you need the email, let me know. It's just LaytonSportsGuards at Gmail.com. I'll forward it over to Sorting and Shipping. Cortes is here tomorrow, so she'll be able to, uh, she's our Sorting and Shipping Manager. Ow. We've got Alex C with the Mavs and the Suns, Alvin S Magic, Brandon S, Celtics, Blazers, Bulls, Shipe with the Spurs, Illegal with the Pacers, Derek K with the Wizards, IT with the Warriors, Jeffrey Y has the Grizzlies, Jim L with the Cavs, Nuggets, Pistons, Rockets, Pelicans, and Kings, Joe M with the Hawks, Joshua B, Nets, Clippers, Nicks, Mark W, Sixers, Nick V with the T-Wills, Paul S Thunder, Peyton H with the Bucks, Raptors, Jazz, Willie H with the Lakers, and Zang G with the Hornets and Heat. So good luck here, everybody. Who is the new guy? Wait, who is the new guy? Yeah, we'll take care of that for sure, man. You know, Sam is good. Yeah, there you go. When that happened. Anybody clip the one you sang it? I don't think so. Oh my god. Silver, JVL. You sang it in the whole thing. Now, who is the new guy who left the boxes in the case? Gotta probably fire that guy, I'd say, right? Shaden Sharp. Silver, Ben Simmons, Glitter, Mo Bamba. Nice one there. Carlson, no tattoo for you. No, no, no, no, no. Palo and Chris Ball. Now, to Cortice. This is all-card ship, right? Not a double-tracking bad form, really quick. Matheryn Rookie, Peyton Watson. Ooh, Benedict Matheryn, 149. Nice one there for the Pacers. Swagga of Ja and a- yep, perfect. Cool. Good to go. We got an auto coming up here. It's Oshai Gbaji. Lucidia Bate, Rookie Auto for the Clippers. That's LA. Silva Trey, Aaron Nesmith, 249. J-Dub, Overdrive, and Jabari Smith, Rookie. Yeah, I just got your email, jami4do, over to a couple of managers. A couple of managers for you. Ty Ty, Keegan Murray, Rookie. Mark Williams, Red. Again, full sellout promo tonight. Everything sells out. We will do the full sellout promo tonight for sure. The only one that's relatively, like, potentially might not is gonna be Rangers again. Oh boy. Geez, dude, look at this. That's a murder. I mean, it's Bones Highland to 99 on the Purple. Halliburton and Joellen B. There's not really a case hit, to be honest, magic. It's more of, like, there's a couple of short prints, but you get a lot of them. You get a lot of them. That's the break that is gonna make or break the full sellout promo right there. That is gonna make or break the full sellout promo right there. Jalen Durand, if we can get that filled, it is 100% gonna run tonight. Silva Alondes Williams, that is gonna be 2199, Jordan Noora, and Chet Holmgren. Like I said, Crown is the only one that we've really got to focus on filling up. If we can get that filled, we will be running the full sellout promo. No doubt. Jalen Williams, Jalen Durand. Yeah, I mean, they're pretty solid. They're not bad, honestly, magic. I would just look on eBay. I don't know what they're doing, to be honest. I know the stained glasses of a couple of the decent ones do well. Razzle Dazzles, I'm not 100% sure. Yeah, I know, yeah.  Donny, Donny's slow here. Donny's about 14. And Donny said he's committed to 14 spots right now. I spent all my money on this chain. Silver chair, Jalen. Oh, I'm down with that. Oh yeah, I got you. I got you. I got you, Joshua. Silver, Jeff Green. Red is Mo Bamba. Paris Halliburton and Benedict Matherin. I got you, Joshua. Donny says Donny buys spots. I don't know, I don't talk about them. Jalen Williams, Jabari Smith, Mack McClung, Purple Pat Williams to 99. Swagger of Keegan Murray and Jaden Ivy, notoriety. 100 silver packs, or no, 100 gold packs, 10 apiece to 10 different people. Jabari Walker has campaign, nice one there, Suns, Cameron Payne, Thomas C with the Sixers in the next one. I'm chillin', I'm chillin', I'm chillin'. Blake Wesley to 99. Got a Kyrie and Jalen Brunson. Chill, man. I'm chillin', man, I'm chillin'. Walker, Kessler Rookie, Jaden Hardy, Mosaic, Steven Adams, Red Curry, nice one there. Campaign is a Thunder Legend, Campaign Bulls Legend as well. A couple others, a couple other legends that Campaign is. Now a Bucks Legend, Benedict Matherin Rookie, Mosaic of Embiid, Red of Lutort, that is Giddy and Benedict Matherin. Jordan Goodwin, Max Christie, Silver Luca, Purple, Jared Vanderbilt to 99 for the Lakers. JV Sohan and Zach Levine Breakaway. Moen Fontechio, Ty Ty, Silver, Dyson Daniels Rookie, Blue, Chris Middleton to 199 for the Bucks. Zach Levine, Mosaic, Tatum Montage. Hey, thank you there, DW, pick it up, two spots in select. Appreciate you, buddy. Kenyon Martin, Red, Wendell Carter Jr. I know, yeah. Pulled a Purple Matherin, or no, a Pink Matherin, one of the other illegal, which is pretty solid. Also, you could do, like, Whites and Under. There haven't been any yet, but White or Gold or one of one. Keegan Murray Rookie, Blake Wesley, Devin Booker, Bobon Red, as well. Jaden Hardy and LeBron. Ron Jimes. No, we have any one yet. Yeah, yeah. Now, I'm just saying in case there is one. James White, we've got the Panthers in 18. Thank you, buddy. Penini Black, Football. Chandler, Coloco, Silver Caminga, Red Siacum, the Raptors, Abaji, and Anthony Davis. Hello, Rookie. Silver Alvarado, T.H.T. Red, Ja, and J.Dubb. Longing, Nemhardt, Tarry Eason. Pink DeMar to 149 for the Bulls. Shea, Straight Fire, and Tarry Eason. Introductions, Mosaic Group. I wish I could just send a gift in the chat. Maybe just send yours. Jake Laravia. Nice. The 49, Ralph Sampson. That's pretty cool. And the Blue Auto. Congrats on that there. Houston. That's what I'm saying. Anthony picking up a spot in select. Thank you, buddy. Silver, Col, Anthony. Josh Green, Purple to 99 for the Mabs. That is a Booker, Storm Chasers, and Keegan Murray, Bracoeth. He's so fine. PJ Tucker, Red, Eric Gordon, the Clippers. Yeah, Clippers, Bass, and Keegan Murray, Montage, Rookie. Sohan, Rookie, Tarry Eason, Isaiah Stewart, Brandon Clark, Red, Bass, and LeBron, Montage, Montage of LeBron, LeBron Gens, Silver, Jalen Brown, 199, Darius Garland for the Cabs, and Anthony Edwards, Thayer Masters, Mosaic, Silver, Shade on Sharp. Blue is Wendell Moore, Jr. Rookie of 199. Taylor Woods, Montage, Company, Cabozzo. Maybe forget what I was supposed to tell these people to move the car. I'm going to fight out there on that. I've got all about it. Dyson Daniels. He told me, no, no, no, no. He told me a while ago. I forget. It's all simmered down. Let's go get them out. Come hard away. Red, Corey, Kisbert for the Wizards. Josh Giddy. Zombie lobby when I walked in. I was with the Ola's concentration. That was close. I walked in on seven. Oh, here it is. Beep boop. You have a lot of beep boop pops. Cabs, Raptors, Jazz. Three to go on the next one, everybody. Three, two, go. Rory Smith, Rookie, Blake Wesley will be topping. Red, DeMontes, Sabonis. Kade, and a Purple, Matherin, 299. There you go. Illegal with the paces. This is a steam bath right here. Josh Hart, Raddy, Vika, Zubat. There's one to more, Junior, Jovich, Silver, Atari, Eason, Blue to 199, KCP for the Nuggets, Julius Randall, and a LeBron. Who is Tyus Jones to 199? It's the Nightmare, man. It's Jalen Williams. That was so good. It's the Nightmare. There's Jalen Williams' Rookie, Walker, Kessler, Rookie, Kisbert, Red, Derek White, Jayne Ivey, and Zion Williamson. That was really, really good. I thought it was so funny. Benedict Matherin, Pat Connaughton, Red, Jared Vanderbilt for the Lakers, Bari, Shet. Oh my god, do you imagine, dude? I'll take money for that. Yeah. It's the gift that keeps giving, though. Really is. Ty Ty, Silver, DeMar, Red, PJ Washington, the Hornets, Dwellenbead, and Swagger of KD. Three to go on the next one. Everybody, last time I checked, just three remain. Silver, campaign, Red, Kennedy, Chandler, Rookie, the Grizz, LeBron, Stormchaser's D-Bote, Sohan, Mosaic, Purple to 999, Stephen Adams for the Grizz, Jayne Ivey, and a notoriety of LeBron. What's up? What gunner in the Natalie? Yeah. Makes sense, though. Keegan Murray. That is a Tiny Nade Archibald to 10. Nice one there. Congrats, Celtics. Bunch of Anute Bulls. Patriots gone in 18. Thank you there, Chris Lane picking up a spot in gold standard random teams. McDonovich, Markel Folt, Pink to 149. A Yanis and a Kawhi Stairmasters on to the next one. Nothing super crazy, I don't think yet, Jim. Steam bath. Stash. 30 stash. Yeah, sweaty 30 stash. There's Josh Akogi, Red, Markel, Foltz. Paolo, Rookie, Deer and Fox, Montage, Jabari Smith, Walker Kessler, Silver Fox, Red of Vucevic. Bass and bass. Yeah, there's a lot of good stuff out of Bowman U. I know Kyle hit an orange Travis Hunter auto, I think. Yeah, there was two Hunter autos. No, there was a Gold Hunter and I think a Pink of Sanders. An Orange something. He had a Super, he had a Black Shimmer 101. I think six Caleb William autos overall. That is Johnny Davis, Pink, Joe Harris to 149, LeBron, Gems and Julius Randall. So yeah, there's some good stuff coming out of that, man. Really good stuff. I'm very excited for tomorrow. I'm already going to the Bulls, Andre Drummond. Congrats on that one there. Thank you, Neil, picking up two in select basketball. Dean with the Marlins. Black Shimmer Judgans, that's who it was. Yeah. Jamal Murray to 149 for the Nuggets, a Kairi Stormchaser's notoriety of Giannis. That is also a drum god of Andre Drummond, Yukon Legend. Hello, rookie. Grayson Allen, Red, Malcolm Brogdon and Bass. Hope I pop something. Hopefully, that'd be awesome, Shipe. There's a lot of Caleb Williams autos today, which is a good thing. Christie, John Collins, Red James Wiseman and Bass. Yeah, man, it looked good. It did look really good. Think you're done with the Cardinals tomorrow. I agree, man. I was definitely into it. Yeah, Alakai Branum, Musa Diabate, Silver, Oshai Baji. That is a blue Jalen McDaniels to 199, four of the Sixers and Cade Breakaway. Yeah, it is fun to watch, get ripped. It's kind of like the Bowman. It's like the Bowman firsts. Obviously it is the same thing. Jeremy Sohan, Future Bears, Broncos, Cardinals, Legend, true. Maybe add Giants to that too. Taylor Horton, talking to 199. Yeah, Jay and Ivy, Patriots for sure. Perra Ozear, Red, Vacelle, who just got paid, man. That Vacelle just got the bag on the Spurs. Rembert, picking up a spot in Select as well. Thank you, Rembert. That's almost full, everybody. It might be sold out very soon on the next three breaks, the next two breaks at least. Caleb Houston, Patrick Baldwin, Clay. There's a Red of Harrison Barnes. And Vace. Again, got to get Crown sold out. That's the big one, everybody. Got to get Crown sold out. Crown tiered. Yeah, Mosaic is a little hit or miss. I agree with you on that one. 14 to go on Crown, everybody. Here's your link to that as well. Three to go on the next one. 14 to go on Crown. That is really going to be what makes or breaks the full sellout promo, everybody. If you want to be in the full sellout promo, we got to get Crown filled up. If we want that to happen, Crown has to be in memory at some point. Everything else is very close. The Kaboom, that's what I'm saying, man. That's what I'm saying. McLung, Sohan, Lamello, Ogie, Anubi, Stairmasters, Purple, Sohan, 299. Nice one there for the Spurs. Yeah, three more teams left in Mosaic. Crown, like Forrest said, Crown is priced under market right now. We're looking for Silhouettes. We're looking for Kabooms, obviously. We're looking for Big Rookies. We're looking for the Platinum Foil 101s. DeAndre, Eton, Zach, Levine, Red for the Bulls, and base. I'll match you for every spot you buy. Just so you guys know, there is a little damage on the bottom of the Sohan rookie. It is just the base. We can't really do much on that, unfortunately, but just wanted to make that known. There have been other Sohans that come out of here, which has been good. Silver Watson, Blue is Victor Oladipo to 199, and Introductions, Vaji, Silva, Tyrese Maxi, Benix, Matharine, Blue to 199. Going for that rainbow illegal. Nice one there, buddy. And Jammarant, Breakaway. There you go. See? The legal said, he'll match any spot Forrest buys on Crown. So I didn't crowd Forrest has to buy like five, then illegal buy five, and then we only have four left. Done. Easy, see? See how easy that is, everybody? Jay and Ivy, Lucanard, Jason Tatum, Red, and Jalen Williams. Yeah, three numbered Matharine's not bad for sure. Chet Holmgren Rookie, Taylor and Horton Tucker, Red Oladipo, a variety of Jay and Ivy and Zach Levine, Breakaway, Silver Herbert Jones, Rudy Gaubert, Red, face and overdrive of Jay, J-Dub. Yeah, oh yeah. Yeah, the Pacers are always a good buy in this product. Paulo, I'm sure you can find something to complain about. True, very true with illegal, Silver Yolkich, Red Julius Randall. I'm sure illegal can find something to complain about. Alexander Mosaic, Mack McClung Mosaic Rookie. That is a Jalen Williams, nice one there, $2.99 for the Funda, LeBron James, and Anthony Davis. No, I agree on that, Cory. I do agree on that. The lines are a steal because they've got their four guys deep in every checklist. It's unreal. Malkai Branham, Bill Walton, the big red, nice one there. The big red beard, congrats Portland on that one. Brandon S, clearing us on, oh no, not necessarily, took the Raptors in Mosaic. Thank you, buddy. Thank you, buddy. Appreciate that. Silver Boban, Pink Quentin Grimes to $1.49. He also took some Mosaic fast breaks for another day, which is, I was like, wait a second. There's Paul George. All right, quick recap here, guys. We had Bill Walton, a Andre Drummond, Gold Tiny Nate Archibald, Ralph Samson, Campain, and Musa Diabate. That'll do it for the break, everybody. Thanks again for the fill. Let's fill up the next one as well. Three to go.


Well, Park Rapids is always looking for ways to make their community a better place. That's why after years of planning, they finally hosted their first ever ACES Summit. Reporter Cheryl Moore explains. Park Rapids wanted to be a more healing community. That's part of the reason they decided to host a day-long ACES Summit. ACES stands for Adverse Childhood Experience. And the summit is meant to help everyone understand the effects of trauma. When we have a common language of understanding what ACES is all about, then we can all make the difference going forward. So that's the first step to get everyone together and build awareness. Presenters were brought in from all over the country. Park Rapids community leaders from all different fields also hosted workshops. There's representation from the school system, law enforcement, the medical community, and more. My sessions this morning were based on being a hope dealer. So it's kind of a tongue-in-cheek term, you know, a hope dealer. Kids are like, what does that mean? When I talked to them about how, in my life, I found transformation in dealing hope to individuals. I always see my role as a constant cheerleader, one that continues to push, hopefully pull, dragging people into community service, community action. The ACES Summit was literally a whole day event. It started in the high school and elementary schools with all the activities for students, but then later in the day, the whole community was invited to participate. I hope that they grasp the concept that this is not a change necessarily in curricula or procedures and policies. It's more of a shift in a mindset. It's more of an understanding and a shift in who we are. Professionals who have worked on ACES programs before say it's pretty typical to see school communities getting involved. But what's happening right now in Park Rapids is something to be admired. I think there's just some cutting-edge things happening here because it's not just a square thing, but it's a tremendous community approach. And that's the strongest approach there is, is when the community comes together around trauma. Reporting in Park Rapids, Shaw Moore, Lakeland News. The ACES Committee is looking into making the summit an annual event they're planning on a fall date for next year. If you enjoyed this segment of Lakeland News, please consider making a tax-deductible contribution to Lakeland PBS.


Coming up on DTNs Boston Dynamics is finally selling a robot! Amazon wants to free you to use whatever voice assistant you feel like and why, I don't know, maybe you might not want the right to sell a used video game. Oh my gosh. This is the Daily Tech News for Tuesday, September 24th, 2019 in Los Angeles. I'm Tom Merritt. And from Studio P-Line, I'm Sarah Lane. And from a place where people can't wait for February 21st, I'm Patrick Bejo. And from a place where people eat lunch on the show's producer, Roger J. We were just getting Patrick's thoughts on the release of The Last of Us Part 2 date, February 21st, one week after Valentine's Day. And as you can tell, Patrick, you are excited. Am I picking that up right? I think that might be the understatement of the year nay, the decade. If you want more of Patrick's thoughts on that PlayStation announcement, as well as our thoughts on lunch, get the wider conversation at Good Day Internet, available at patreon.com. Alright, let's start with a few tech things you should know. The EU's top court has ruled that Google does not have to apply the right to be forgotten globally, meaning that after receiving an appropriate request, Google only needs to remove links from its search results in Europe. The EU court also issued a second ruling that links do not automatically have to be removed just because they contain information like a person's sex life or a criminal conviction. But such listings should be kept where, quote, strictly necessary for people's freedom of information rights to be preserved. Sanity has prevailed in my opinion. Transport for London has renewed Uber's license to operate for two months with new requirements for passenger safety. TFL has requested additional information from Uber, which it will evaluate before deciding whether to issue a full five-year license in November. Kicking that can down the road a little bit. Source tells CNBC that Amazon is working on wireless earbuds that can track metrics like distance run, your pace, your calories burn right from your ears. Earbuds are codenamed Puget, like Puget Sound up in Washington, and are expected to have a built-in accelerometer and be priced below $100. Same source also told CNBC that Amazon is working on a larger Echo device with better sound quality. Amazon has hardware announcement Wednesday. It's not known if these products will be part of that announcement, but I guess we'll find out tomorrow. Spotify also had a couple updates today. The Spotify for Artists app also now shows how many people worldwide are listening to a track for the first week after a new track goes live. There's also a new home tab and more info on gaining followers and getting added to playlists. For Spotify users, two new playlists have been launched on repeat, plays the tracks that you've played the most over the last 30 days, and repeat Rewind collects your favorite songs from a month ago so you can revisit them. Empty stuff. Alright, let's talk a little more about that Amazon initiative to free the voice assistance, Patrick. Amazon announced the Voice Interoperability Initiative with more than 30 companies pledging to make sure smart devices work with multiple digital assistants. Intel's 10th Gen Chips will support multiple assistants this year. Qualcomm said its chips support multiple wakewords now. Salesforce said they will work to put its Einstein assistant on any device. Maybe, you know, army devices as well. That comes under any. Exactly. It's a subset. Spotify said it wants to let users ask Spotify for things directly. Baidu brings its 400 million users of Dover OS to the initiative as well. Microsoft, Sony, Audio Group, Tencent, Orange and Verizon are among the other companies signed on. Google, Apple and Samsung are not. Those Samsung-zoned Harman is. Yeah, so I wouldn't be shocked to see Samsung join this. They already do dual assistants with Google Assistant and Bixby, and Harman's already part of this. So it's not like there's some corporate mandate that says no one in the cable can join. I wouldn't be, I would be surprised to see Google or Apple rush to join this, especially Apple. Apple just doesn't join stuff. But I like this initiative to a point. It's not an open platform. It's just an initiative with everybody saying we would like to cooperate with each other. And it's not saying you can swap out your assistants. It's saying devices can have multiples, right? So it's not the same as saying, oh, I'd like to run Amazon's voice assistant on a Google Home. It's saying my Google Home, and maybe Google's a bad example because they're not in this initiative, but if they were to join, my Google Home could have multiple voice assistants, which I feel like in some ways that's kind of cool because let's say Spotify has their voice assistant. I could just say Spotify play the song versus, hey, what's your name? Tell Spotify to play the song, which would be a little more, which would make more sense. But then if I had Cortana and Alex on my voice assistant and alarm went off, I had to remember which one I set the alarm with to know which one to tell to stop it, right? OK, so Amazon wanting to sort of be at the forefront of this, I get that that is sort of a, we're playing nice and competitive stuff going on here, even though we're arguably the leader in assistant technology, right? Or at least as far as consumer adoption. But why does Amazon want to do this exactly otherwise? Oh, I generally don't believe any company ever does something to appear nice unless they already have another motivation for it. And I think the motivation here is Amazon is behind Google in devices and wants to make their devices more operable and feels like, you know, even if this means there are alternatives to Google or to our voice assistant out there, we'll still sell more devices by having more ways into the tent. Well, let's put it that way. No device that can use multiple assistants is not going to have Amazon's assistant. Right. They're very secure in that belief, I'm sure. Yeah, exactly. So Google and Apple are kind of playing in a different field. But if this happens, Amazon will be even more everywhere. Yeah, and then they can market like we're the only one that lets you talk directly to the thing you want to talk to everybody else makes you go through their voice assistant. So, yeah. And honestly, I would attribute it to Microsoft. Microsoft was the first to open themselves up to this with Cortana and Amazon was the first to take advantage of it. ZD Nets, Mary Jo Foley found references at theartofresearch.org to a brand new data dignity team at Microsoft headed by Christian Lienzberger. Lienzberger is principal PM manager and advisor to Microsoft CTO Kevin Scott. So it seems like this team is inside the CTO's office. Previously, Mary Jo Foley had found a website now hidden describing something called Project Bolly, a research incubation project designed to give users a way to store, visualize, manage, control, share and monetize their own data. This is very similar to Project Solid over at MIT that you might have heard me talk about before. In a New York Times interview published today with Microsoft Chief Scientist, Jaron Lanier, Lanier mentions the term data dignity and argues that people should get paid for their personal data. So it seems to be right in there. Foley also notes that a Microsoft job posting refers to applying mixed reality to the practical use of deep learning and data dignity. So beyond the lookout for this, I love the idea if I know more details about this and it's open so that, you know, more people can be involved. That's why I like Project Solid. Maybe this is going to incorporate Project Solid somehow. I don't know. But yes, somebody needs to figure out how to make a good solid open way for us to manage our own data and be in control of it. And I think one of the big questions that comes in the next sentence is okay, but how much? And there was a paper just recently about the fact that we really don't know what personal data is worth. And the different ways of making estimates are so different and come to such different results that it's kind of not even we're not certain it's worth exploring. But another way of looking at it is maybe if someone manages to put this together, a system that lets you manage your data and maybe sell it and you put it on the market and you see how much it's worth. And after a couple of years, maybe you will know and people will decide if it's worth monetizing it or not and how it relates to when you do that voluntarily or not on websites that you use for free. Yeah, that part of it is the big question mark for me. I don't hate the idea of being more in control of my data. That sounds great. But it's sort of like, okay, well, if their ads serve to me that I find sort of random, they don't make a lot of sense. I mean, would that be part of me being more in charge of that?  Right. Yeah. To me, more and more with digital content, I feel like access is the important thing. Don't worry about price. Don't worry about distribution access to the data. And what this would do, I hope is control access to my data to your point, Patrick, where what I get charged for the data doesn't matter to me. It's who am I allowing to see my data and what uses are they using it for, which to your point, Sarah would then allow me to say like, okay, these ads are weird. I'm not going to allow this company to have my data anymore because I don't like to see that kind of stuff or be able to control what ads you see. You know, it's true out of the five or six words that are describing the features it would do. I only focused on the last one, which is monetize. But there's also store, visualize, manage, control and share, which are equally as important. Also, I love the term data dignity. I think it's super catchy and it's a great way of naming it. It's a little bit highfalutin, but yeah. Yeah, but I see how it could catch on. Xiaomi announced the Mi Mix Alpha, which it calls a concept smartphone with a screen that wraps around the side and most of the way around the back for a 180 degree percent screen to body ratio. Network signal and battery life icons display on the side, which also has a pressure sensitive volume button. There's only one camera since you use the screen on the back for selfies using the 108 megapixel Samsung sensor rather a small scale production begins this year for sale December starting December for twenty thousand one, which is about twenty eight hundred US dollars. Xiaomi also announced the Mi nine pro five G that can charge wirelessly in 69 minutes. The phone starts at thirty six thousand one or about US five hundred twenty dollars and coming to China first. Yeah, so I mean this is a the Mi nine pro five G is really just the Mi nine pro with five G and a few well bells and whistles. But it's it's arguably, you know, super affordable at five hundred twenty dollars. Whereas the Mi Mix Alpha, I think, Sarah, you were saying in our pre show today how it's just showing that now we're just coming up with new ways to make a phone look different. Like I don't know if I need this, but you know the selfie thing. I was the first thing I'm like, well, that's kind of practical and it certainly is pretty though. Yeah, it's pretty, but it's like, is it functional? And and I don't have this phone and it might be. And you know, I think that this is the we're in the area of, you know, we're at the point where phone manufacturers, at least the companies who have enough money to do enough R&D are like, OK, how do we differentiate ourselves? Let's get weird. And this is one of those things where I'm like, I don't know, it sounds a little weird. Might be cool. But we, you know, we as consumers would need to be trained into why it's cool rather than wanting this feature. It's something that a company is like, hey, we did this. Do you like it? I think it's fair to say that without being talking in absolutes, it's probably not incredibly useful of a feature to have a phone wrapped in a screen. I think I might be wrong, but I think it's OK to say it's probably not. And it's a concept, a concept phone there. They usually don't go to mark concept designs, don't go to market as such. It's a fun thing to try and see if something might come out of it. But I doubt that as it stands, it would be considered a must have feature. It's very useful for selfies. Sure. You could just have a screen on the back for your selfie needs. Well, this one does. It's really pretty. Yeah. I'm just excited about wireless charging in 70 minutes, guys. Yeah, right. I know. Let's go to the talk about practical. I don't know where to put my fingers on that old screen phone. It's that's you'll get used to it. You'll get used to it. And sort of launch apps as I'm trying to dial for something. In other news, Facebook announced it's acquiring CTRL labs or control labs maker of software to let people control a digital avatar with their thoughts. Control labs uses a bracelet to measure neuron activity in a person's arm to determine movement that person is thinking, even without physical movement. The bracelet broadcasts that information, which is used to create movement on a digital screen. It's not as whiz bang as the neural nets that, you know, Elon Musk is involved in investing in where they put stuff in your actual head. But this could be incredibly useful and certainly in prosthetics. It has a very obvious implementations. Why Facebook wants it? I don't know. Sarah has documented reality, virtual reality, something like that. Yeah. I mean, I think I think Facebook is demonstrating that it is very interested in the future of this. Also, the idea of implanting something while cool, medically, scientifically is a harder sell for a lot of people wearing a bracelet that's like, your arm will tell your brain what you're going to do before you do it. And then your little avatar on the screen is going to do something. That's that's fun. You know, that if it works correctly and it's something that Facebook can, I don't know, incorporate into their overall experience, I think that that is that that is a much easier adoption rate for the majority of people who use Facebook. I think there are a million use cases for this. One of them, which came to my mind immediately is VR or AR even if you think of the future, what they're doing with Luxotica Lux, the Oakley company for an AR headset. The problem with AR is how to control it. That would answer it. But even in general, controlling something. And of course, for now, it's just movement. And it's relatively simple, but maybe they're hoping that you could control more things just by thought, which is way more speedy than actually moving your hands and can have applications in many different scenarios. I see, I mean, I think controlling through thought is kind of the ultimate user interface. If it works precisely enough and complexity enough and all of that. I'm not surprised at all to see Facebook or anyone jump on something that shows promise in that field. Well, speaking of promise in a field, SoftBank owned Boston Dynamics is selling its first major robot. Companies with a good idea can apply to purchase one, codename Spot. Four-legged robot that goes where you tell it avoids obstacles. It can also keep its balance in extreme conditions. It can support up to four hardware modules to add capabilities like a methane detector, a mesh radio for long range connectivity, LiDAR for 3D mapping. Boston Dynamics is working with Cirque du Soleil on possible uses in entertainment as well. However, Spot is meant for closed, controlled and largely human-free spaces. Boston Dynamics is well-known for its impressive demo videos and one of those came out as well showing the 330-pound bipedal Atlas robot doing some impressive gymnastics tumbling. So they're working on multiple robots. Spot is not necessarily consumer-facing. Atlas is the one you're going to see on YouTube today. Spot is actually the bigger news, in my opinion. Boston Dynamics Spot is Boston Dynamics finally addressing the big criticism, which is, you make great viral videos, Boston Dynamics. You never ship a product. And Boston Dynamics is shipping a product. Now, granted, it's prototype. You can't just go in and buy it even if you're an industrial customer. You have to talk to them about how you're going to use it because I think they want the usage to feed into their research. They also don't want it to be used for military uses. Search and rescue and stuff like that to police departments fine, but they don't want it to be used in actions that could harm someone. They just don't need that right now. And yes, it has to be something where human interaction is controlled because while this can avoid obstacles, it's not really meant to avoid injuries. So I'm very curious what they do with Cirque du Soleil because they could just have a whole stage full of dancing robots out there. And that would be pretty interesting. But yeah, there's a lot of practical uses for it as well. And we're actually going to see them in the wild now. Right? You know, we're going to start seeing videos of people interacting with them, like with actual robots if they're in the field or somewhere, possibly somewhat unattended. It's not like it's going to be out at the mall or your airport or anything like that. Do you know that? They said specifically that it will not be in situations like that because it's too dangerous. So that's to be like a controlled situation. All right. Well, never mind. Closely closed, controlled and largely human free spaces. Well, Boston Dynamics. In one, on one hand, I'm disappointed at the same time, I'm kind of happy that the takeover of our robots overlord is delayed a little bit further. Well, folks, if you want to get all the tech headlines each day at about five minutes, be sure to subscribe to DailyTechHeadlines.com. Do it now before the robot overlords come. All right. Last week, we mentioned that Valve had lost a Paris district court case in France over whether steam customers in Europe had the right to resell their digital game purchases. Now to oversimplify the EU rules that require the free movement of goods within the European Union, prohibit a company from deciding if you can resell a product you bought from them and the court said those rules applied to digital copies of games. Valve has three months to amend its terms of service to comply with the ruling. However, steam is appealing the case and the ruling will not need to be followed while the case is on appeal, so don't get ready to sell your digital games from steam quite yet. However, it does bring up a very interesting question. Whatever the courts end up deciding is a good thing or a bad thing to let people sell used copies of games or any digital media. Now you may be tempted to say it's obviously a good thing Tom for us the consumer, but Patrick, I don't think that's the end of the discussion. Is it? I would say it isn't. As you said, it's very tempting to think, well, if I buy a thing in the physical world, then I can sell it to whomever I want. Why shouldn't things work like that in the digital realm? And I think that's a very fair point. And maybe at the end of the day, the result of that conversation is that yes, it should be the same. However, I would like to propose a few things for your consideration. I think the idea that people get in their head when they think we're going to be able to sell digital items, let's say a movie or a game. Many games are bought digitally is, you know, I want to go to Craigslist and say, hey, I have this game I bought a month ago. I finished it. Who can give me 25 bucks for it? The reality is that the way it will work probably is automated auction houses. So because all of these things develop and people make things automated on the internet. So you go to an auction house and you immediately have access to the entire offering of the entire world for all of these games and you automatically select the lowest price for that thing. So you can't really even selling at a higher price than the lower price because people who are buying always have access to the lower price in the country at a minimum possibly in larger areas. So already here, I think this puts a dent in the idea that you're going to be able to sell it in the way that you sell a physical game. The other aspect of this, which I immediately see is the industry has kind of integrated the fact that these goods can be resold and the price chain has adapted to that fact. The prices of games go down very quickly and within a couple of months by 30% or something like that and within six months you have sales that make the prices deal a super bargain. And those kind of take the place of second-hand prices while still getting money to the creator because the other big issue in second-hand sale of course is the creators don't get the money. So those prices are still there if you want to buy it but they still give money to the creator. So I don't know that the consumer would be better off if those things disappear because since you can resell the games anyway then the initial prices and the sales kind of get more difficult to be competitive. So there are these two elements there are a few more which make me think maybe what's actually happening in the current marketplace is that there is sort of a natural selection that took into account the fact that a digital good is sold and then not resold to create the best possible version of the marketplace around it and changing it might not get the results that we would hope. Yeah my problem with this is that I come from a place where I don't see digital media as equivalent to physical media and that has always been and still is my problem with digital rights management with DRM. It is an infinitely copyable medium and I think it's silly to treat it like an MP3 is like a record. When you sell a chair you sell the usage the access the wear and tear all of it at once and then you have that chair so it makes sense to have a right of first sale where you can say hey I get to sell this chair to someone else because everything passes to them and the person who made the chair got the compensation for making the chair the first time they sold it. I don't think that's the way digital media works and so because I don't like that with digital rights management I also don't like it with reselling used digital copies because they're not used there's no wear and tear there's no way to differentiate one copy from another unless you add DRM which I don't believe is a great system so I have real problems with this because to me digital as I mentioned earlier in the show digital media is about access you sell you can only sell access I don't think you can treat it like individual products so I have problems with the basis for interpretation. And that's the essentially what they're doing today they're really selling you the access they're selling you a license to use a game or whatever and I think that's also where the issue comes from because the nomenclature might be the issue they're saying we're selling you this item where in reality they're not so maybe the solution is as technical and simple as we could imagine it redefining what that sale is and just saying we're selling you the access for 50 years or whatever and not the game itself and make it more clear because as it stands it's been decided and judged by the courts that this is tantamount to sale at the moment so maybe it needs to be more clear and also we're moving to more and more subscriptions so that Google Stadia other subscription services like a million of them especially in gaming. Well thanks everybody who participates in our subreddit sometimes they're gaming stories sometimes they're earned you can submit those that you think should catch our eye and also a button on others at dailytechnewshow.reddit.com we're also on Facebook join our group if you haven't already facebook.com slash groups slash dailytechnewshow All right we had an update from Chris Christensen yesterday that has some very serious implications in our mailbag. Yeah and Rob wrote in about it and said I was on a flight from London in the UK to Atlanta back in 2003 and an elderly gentleman did in fact have a massive heart attack in the lavatory and died. They discovered this because a line had begun to form which prompted a flight attendant to finally come around and knock on the door didn't get an answer unlock the door we had to make we had to get a flight attendant to see landing in Canada and then sat on the runway for three hours because they had to refuel and also get a new flight plane to complete our trip we couldn't deplane because Canada was neither our country of origin or destination so letting us off the plane would have involved processing us through customs Rob says I don't know if the system described which Chris did describe as potentially making this whole process possible healthy necessarily but says would have allowed them to make an earlier intervention and it would have made a difference in the outcome I can certainly see where it would be potential benefits. Yeah so the system yesterday was sensors that would allow flight attendants to tell how long a bathroom door had been locked right and yeah may may not have helped in this case but it's certainly the kind of thing where it would be good rather than maybe have a little alert that goes off that says hey you know they've passed a time limit you might want to check on them. Exactly well thanks to Rob for writing in about this safe flying in the future and also thanks to Patrick Beijoff for being with us today Patrick let folks know where they can keep up with your work. Well if you go to frenchspin.com it's very easy to remember it's French and spin that's frenchspin.com you can find pixels which is a show I do about video games and you'll probably like video games and you will also find the Phileas Club for which the latest episode is a special on China in Africa and we've all heard about China and Africa and I think many of us have wondered exactly what it's about well wonder no more go check out that episode and I think not only will you learn a little bit but also you might enjoy what you hear and have a good time so frenchspin.com for both of those shows. I listened to that episode when it came out last week and it is both entertaining and extremely informative if you're the kind of person who's like man how do I break outside of my bubble I want to know some things that no one else will tell me turn off the TV don't read a local newspaper go subscribe to the Phileas Club and that will help expand that horizon. Folks we're changing our Patreon rewards starting October 1st so you have less than a week to sign up for the classic rewards or you can just wait until October 1st and get the new rewards current rewards will be delivered after the end of this month and the new rewards first to be delivered November 1st and if you want to know what's coming in October head to dailytechnewshow.com slash Patreon our email address is feedback at dailytechnewshow.com write us early and often we're live Monday through Friday 4 30 p.m. Eastern that's 20 30 UTC and you can find out more and tell a friend dailytechnewshow.com slash live back tomorrow I'm Scott Johnson talk to you then


Hello, can you hear me? Yeah, we're gonna hear you. Hi. Okay. Good to see you Chamo, do we have to do something here to mirror the screen? We're trying to fix an issue here with the screen. We'll be right in a couple of minutes. Also, Chamo, also the audio. I don't think it's... Audio? Yeah, it's pretty low. Oh, okay. Even audio is not working. We'll be right in a few minutes. Thank you for waiting. Now you can. Now you can see. Don't go there. Can't hear me. Can you hear us? Can you hear me? Yes, yes. You can't hear me? Yeah, it's a bit... We would like to have it a bit louder. So I don't know if it's your... Can you raise your speaking volume on your side? Yeah, it's probably the... It's probably from this side. Pardon? Okay. Okay. I think that we... On our side, that's the top of the notch of the volume that we can have. So... I should speak louder. You should. Yeah, thank you. Thank you very much. So it's a pleasure to have with us for... Even though virtually for the last talk of the day, Professor Kaneko now at Niels Bohr Institute in Copenhagen. And his talk will be about the theory for development, self-differentiation, and reprogramming. So please, Kuni, thank you. Okay. Thank you. So I'll try to speak louder. Yeah. And so today I talk about this dynamical systems theory for self-differentiation and reprogramming. And I'm now in Niels Bohr Institute at Universal Biology Group. And I just explain a little bit on universal biology just in a minute. And so usually life system consists of many, many components. For example, in a cell, there are many, many, many molecules that interact with each other. But as a cell total, it becomes a kind of stable structure. So the guiding principle here is macromicroconsistence. So molecule cell, so molecule producing cell. That cell gives some kind of constraint to each molecular reaction. So microscopic, very diverse components and high-dimensional. And macroscopic, so there is some kind of unit to sustain and reproduce as a whole. So probably in some cases there can be a whole-dimensional description. So that's the approach to universal biology I'm taking. And by that, so for example, molecule cell and with this consistency between molecule and cell reproduction, so we can have some kind of general law or some kind of general properties. And so cell to multi-cellar. And in the case of evolution, so genetic change is very slow. And phenotype dynamics or development is much faster within a generation. But still there is some kind of consistency with so different time scales. And actually I'm mostly working on this kind of evolution these days, but today, so I talk about this level, cell to multi-cellar organism. And for that, so important phenomena there is cell differentiation. So initially there is some cell type, so stem cell. So it's called pluripotent cell. So that can produce diverse types of cells through the developmental course. So initially this cell type. And then after some time, there are several cell types appeared. So they have the same genes, but still they have a different cell types. And actually in 1957, the famous biologist Waddington wrote a book, The Strategy of Genes, and he introduced them, very famous picture, Epigenetic Landscape Picture. So that's a kind of general this body, shallow body, and then branching to several small, higher bodies. And also he proposed to discuss this in terms of dynamical system. And also he tried to understand how this complex system is controlled by genes. So, but at that time, it was difficult to make a theory advance. And after that, so maybe there are many studies on dynamical systems. And in this picture, each body, so attracted is expression, gene expression or protein concentration is attracted to a certain level, and that is called, so this attractor in terms of dynamical systems. And so there are several studies for this, so many attractor systems. But another important thing in Waddington's picture is that this body changes in type, so the landscape changes in type. And actually Waddington coined the term Homo-Resis rather than Homo-Stasis. And this is robustness in past or developmental process itself or landscape itself. So, but what this landscape really means? So these days, many biologists draw this diagram, but actually what that means is not fully understood. And probably X axis, this axis is some kind of collective expression variable of many genes, protein concentrations, maybe low dimensional distribution for that. And this height, maybe it's a kind of changeability. If it goes down, it cannot change so much. It's a more robust or less plastic. So, or you can say that this is if you have some kind of probability for this X, then log 1 over Px, maybe that, so this potential. But the question is why this axis? And this means that there is dynamics, past dynamics in X, but there is slow change of this dynamic system. So there are two possibilities, I think. So this slow change is due to the developmental process and due to this number of cells in this development. And actually we worked on this kind of picture. So initially single cell and as a cell number increases, these cells interact and this cell interaction changes the dynamics in cells. And by that, we have seen that initially fully potent state and then some attractor state appears. So that's discussed here. But something strange happens. Yeah, okay. But another possibility and that is discussed these days is that there is a process called epigenetic change and that's the change in chromatin structure or how this gene expression is feasible. And that changes slowly. This is another possibility. And so we try to discuss this point. So basically with this epigenetic modification there are some histone modification, maturation, and etc. And that changes feasibility that the gene is expressed. So openness, chromatin, or something. And so maybe by post-claiming this process we assume that there is no variable representing the feasibility of expression itself. And this changes with this. So that's another possibility. And we try to focus on this. And by focusing on that the basic question we want to address is that, okay, of course there is landscape, so robustness of each valley to perturbation. So that first requires it. And then, so multi-level robustness. That means when you have a development this number of cells in each valley is robust to perturbation or initial condition or something. And then homeoresis how this branching process is stable. And also there is some kind of hierarchical branching process. So initial stem cell and there are two levels and three levels and higher levels. So that is necessary to understand development. Okay. So we consider a simple model. So as for gene expression dynamics there are many studies using some kind of gene regulation network. So that's basically simplified some kind of activation energy efficient. So something like some threshold dynamics of these hyperbolic tangents and Jij gives that network structure. If it's positive, so this expression of this gene activates this other gene. Okay, the red one. And if it's negative, if this gene is expressed and this protein is produced this suppresses the expression of this. So this model or kind of variant of this model have been extensively studied. And in this case theta i is the threshold for this expression. So actually minus threshold theta i. So with this change it's more easy to express or harder to be expressed. So usually this is assumed to be constant. But considering this epigenetic modification we assume that theta i is also a variant and it can change slowly. And furthermore it is known that if one gene is expressed sometimes it's more easily to be expressed so the threshold decreases. So we assume that there is some kind of positive feedback process between theta so x to theta. So something like this equation very simple equation. So that means if expressed easier to be expressed if replaced harder to be expressed. Okay, and this v is the rate of epigenetic or speed of this theta change. Then we consider simply a fixed point analysis. So first. So this is zero and this is zero. So that means a x equals theta and then if you put this and if a is large so feedback is strong then all xi plus minus one close to plus minus one. So plus one is expressed minus one is no expressed. Fixed point address. But the question here initially this efficient modification is set to zero in the stem cell. And then through this feedback process theta changes then what attractors are accessible. So that's the question. And if v is very large so this is very fast and so any a this a x theta is reached then all two to the end states are reachable. So x equals each xi is plus or minus one. So every possible bit patterns are reachable. But actually what we are concerned here is that efficient process is slow. So we need to consider v small limit. So the question is that what happens there? Okay, initially assume that this theta equals zero state dynamics as just a few fixed point attractors. And then with this fixed point attractors so this process is with this positive feedback this is stabilized. So basically if you have two fixed points and then each theta for this to stabilize this with this process. So you can produce so many of few attractors. But in this case so if you start from initial condition here then initial condition here then it can just go here it can just go here. So for each spacing of attraction only one type of fixed point attractors is generated and then so the number of ratio of each fixed point is not stable depending on initial conditions and no robustness in time course, no hierarchical splitting in time. So we cannot support but in terms of then we consider the case that initially this dynamical system with theta zero is a limit cycle and in this case first limit cycle attractors are converged and then cover the space space and then some fixed points attractors are generated and stable. And we'll show that this case the requisite of Waddington's landscape is satisfied. So first we consider the minimal case just two genes and so there are cases that in this plus and minus and in this case so nucleicline and space space is X1 and X2 is something like that for theta equals zero. And so it shows this kind of limit cycle here and we have nucleicline to nucleicline and there is some kind of limit cycle attractor here but this is for fixed theta and if x changes here then theta changes and if x goes here theta changes and with this actually we found that finally two fixed points attractors here and here are generated and actually slight change of initial condition can produce this and this so independent of initial conditions we can have this with mostly half and half in this case so this can be understood in dynamical systems as follows so theta goes to one side so in this equation basically gives the nucleicline so with the theta change so nucleicline goes to one side so with this so theta changes this nucleicline goes up and goes up or in this case so this nucleicline goes to the left and goes this up and it goes here so depending on initial state nucleicline motion changes and finally it produces this fixed point this fixed point or this fixed point so that's how these two stable states are generated and actually this is just a simple limit cycle case but if you have some kind of a little bit more complex limit cycle case then so initially okay this limit cycle and limit cycle is separated to double limit cycles and then it's fixed so in this case so three fixed points are generated so basically from this global limit cycle so separation to two sublimit cycle occurs first and then three so we have hierarchical splitting so and okay and then in this case so with this hierarchical attractor generation from limit cycle so this satisfies homoeresis and this given time span is splitting occurs and also even for depending on so changing initial condition so if you take some initial condition initial distribution of cells and then finally these in this case so four, five, six, seven attractors in this PCA plot so actually in this case any cost engines and we plot the PCA of this Xi to extend and then so basically you have these eight attractors eight cell types and then this is tense so that means these all have higher cell population and these three are less so this is independent of in-shell cell distribution disappears but in the case of fixed point as I mentioned such kind of robustness in the distribution does not appear so basically the distribution is independent of in-shell condition we have taking initial different in-shell condition but this distribution is same so orange and blue are same okay so from that by taking the PCA of gene expression dynamics of X and distribution of PX and taking log PX we can draw the Waddington landscape something like this and so in this case again so we can have a stable Waddington landscape starting from oscillatory behavior so that's a theoretical consequence okay now another problem here that is the reprogram so this is a kind of very deep question in statistical physics also because usually these cell types are fixed and initially this pretty potent cell can produce many other cell types but this can produce only this type and this can produce only this type so there is irreversible direction of development so changeability of pretty potency is large and here it's zero it's fixed so in the normal development process it's always irreversible but these days so by Takashi and Yamanaka they found that induced pretty potent stem cells so they found a way to reverse the reversible process and actually it's not so difficult they over express few genes so XI is changed for a while and then somehow return to the original state there are basic questions here so how? so actually in his case they over express just four genes so without operation of epigenetic modification so only just control of these few genes, few variables of many many dynamical systems many x genes so variables produce to come back to the original state and Tadama this original state is not so stable because this can differentiate so somehow so they can go to some kind of unstable or maybe sudden state in dynamical systems so so these are basic questions we need to address and actually the previous process of this oscillation in G expression and slow epigenetic process can solve this and so basically the same model so what we did is applied some input for a while so just for few genes so previous this and so put some input for some time and then see what happens taking the differentiated state so this final fixed point state and put this value for a while and then what happens so this is an example so this is an example in the case of n equals 10 so initially before reprogramming so we have some kind of state and finally it goes to some fixed point states so this is a differentiated state and then taking this differentiated state and in this case we over express just three genes among 10 genes for a while and then it starts to come back to this oscillation and then so we already stopped this over expression then it comes back to the original state and then the differentiation occurs later so we could just add few over expression this can solve so in the state space of a space picture so initially this kind of pluripotent red state and then in the normal development it goes to this or this or this or this so in this case so five fixed point states are generally and what we did is that take for example this fixed point and over this profile and this changes the state for a while to here and then cut off this over expression and somehow it comes back to this original pluripotent state and then again differentiation start so it worked but it's a little bit strange how unstable state is reached so we consider a simplest example so there is some kind of limit cycle generation case in the gene expression that is called and that is negative so expression so control and so this is just a standard and that shows this limit cycle oscillation of this each x and then of course we put this here and then what we did is that so we start from this initial oscillation and put this data dynamics and then so it goes to either of these fixed points so initial oscillation to either of these fixed points so in this case so theta so one two is positive three is negative and then we did this kind of so reprogramming process so put some kind of input to x1 or x2 or something and then it comes back to this oscillation and then this over expression is as long as cut then it comes back to this oscillatory state and differentiation occurs so it works and then so we can see how these dynamics changes so in this case so just three variables in x three variables in theta and if we look at theta dynamics so this theta dynamics goes something like that so initially theta is so that is somewhere here so this is a kind of subtle form so through the dynamics of x there is some kind of so this theta is a subtle so it's attractive to several directions but unstable towards another direction and that is the direction that this kind of landscape changes occurs so this this direction of this theta changes something like that so in that sense this is subtle so it can be attractive but it goes out but usually we know it goes so it puts this back to near to the subtle it's not so easy we need to put the state exactly to this stable manifold so the question is that just putting some input to x for a while can we come back to this state and actually in this case so if we eliminate this first variable and consider theta and depends theta is subtle and so this is stable direction in this case and unstable direction and this is something like that and then in this case so we show that with this of this first oscillation this so instability along this unstable manifold is suppressed due to this so up and down, up and down this oscillation so instability is somehow so averaged out and usually so this instability goes through this and this d theta u along this direction should be something like that but it's according to this it's suppressed and so with this we can see that with this slow epigenetic process and first oscillation dynamics shows generic mechanism for dynamic systems to stay or approach to the near this subtle point so by that we can so have this kind of reprogram and so this is quite general and actually we checked a more realistic model so there are some so several nano and some names of these genes and this seems to be corresponding to some kind of themselves and so by doing that we have shown that this kind of process again occurs so starting from this oscillatory dynamics and differentiation and reprogram and maybe the last goal is the previous study of cell-cell interaction and this epigenetic process so we combined this and actually we did this some time ago and actually this is a paper by this and so in this case so with this realistic 4G model class cell-cell interaction and again this differentiation occurs and then so by putting some process this so cell-cell interaction is fixed and then epigenetically fixed and then so by overexpress it can come back to the original state so we can explain this okay so today I talked about this homeoretic epigenetic landscape and so we show that from starting from oscillatory limit cycle state with this epigenetic process there is some kind of hierarchical attractor generation and that is robust and in this case reprogramming is generic just by control fusing and this occurs through first oscillatory expression dynamics and slow efficient change and this mark is mostly done by this previous student Yuki Matsushita and also Tetsuhiro Masaki Takayama okay so I could not talk other topics in universal biology but I give lectures in ICTP next March so if you are interested please come to this school and also some students are called okay thank you very much thank you very much for the very interesting talk now we are looking for questions from the audience anyone wants to ask a question okay it seems that we don't have any questions from the audience if this is the case let's thank Kuni again see you in ICTP next spring bye bye okay with this we close our afternoon session and now there is poster time so those of you who have posters please stand by your posters and be prepared thank you bye bye


Welcome to Minor Issues, a podcast commentary on the economy. Hi, I'm Mark Thornton at the Mises Institute. Before we begin, it is worth noting that the subject of last week's podcast was also the topic of the lead article on the Heard on the Street page of the Wall Street Journal. Justin LaHart also warned that expectations of much lower interest rates could be wrong because everything could be too good in the economy, the Goldilocks syndrome, and the Fed would not have to cut rates at all. Yahoo Finance also covered the issue positively and argued that the Fed might cut rates more than the market expects because things were so good. We did not argue with market expectations but rather attributed it to caution that the Fed would have to cut rates due to crises based on the same facts and expectations. Our topic this week is the housing market. Why are new houses selling but not pre-existing houses? Normally the housing market is where people buy and sell their homes, both brand new and existing or previously owned homes. Normally both types of houses are fused together in the same market by the price system.  If you want a fixer upper in a sketchy neighborhood that needs a lot of work and upgrades to current standards, you pay a relatively low price. And in the middle are most of potential buyers and sellers looking for the best overall deal. But we don't live in a free market. We live in a highly regulated market of a seemingly infinite number of bureaucrats and rules where the Fed, the Federal Reserve, sits behind the curtain pulling most of the important strings. The minor issue elephant in the home market this week is really the Fed's zero interest rate policy, which for more than a decade kept the rate at charges banks near zero. That kept mortgage rates and other rates historically low. In addition, the Fed's quantitative easing policy saw them purchase a portfolio, not just of trillions of dollars of government bonds, but almost three trillion dollars worth of mortgages or one third of that entire market. This flood of credit started during the last crisis, the original housing bubble and financial crisis. From 2012 to 2020, mortgage rates hovered around 4%, which is really a joke and a bad one at that. Then in 2020, to rescue us from the flu, they spent another $10 trillion on a bailout of the economy and mortgages dropped to near 3%. Now they are 6.5% for a 30-year mortgage. This is the cause of the current problem in the housing market, the policy of the Federal Reserve. People who already have houses and want to move are not selling because they want to keep their low rate low payment mortgage. Hence the supply of houses for sale is greatly constrained or restrained. This keeps prices up and makes buying a home more unaffordable. Housing prices are now much higher than even during the peak of the housing bubble and they have fallen only a little and are still 30% higher than the previous peak. So housing is frustrating and problematic for buyers, even sellers, and everyone working in the industry. And it all goes back to the Fed, supposedly rescuing us from previous bubbles that they caused. The subtle difference between brand new houses and previously owned ones explains why new housing is relatively robust while existing housing is in a holding pattern. New houses don't have current owners with mortgages who are reluctant to sell. They have motivated builders who are nervous about market conditions. Builders have a natural flexibility in comparison to homeowners. Builders can offer discount financing, help with down payments, upgrades, and other non-price concessions that reduce prices when buyers are available and eager to buy. Existing homeowners have a more fixed calculus of how much they can concede before losing their existing mortgage and payment, and this stymies the decision to sell and move. The resulting restricted supply keeps prices up and prevents the realization of the bubble popping. This all makes the economic problem of getting people into the proper homes much worse. It also creates a new problem, and not just for families, but also for workers who can't move to better jobs or away from draconian state and local governments. I have read many articles on the current housing situation, and not one of them mentioned the Fed's zero interest rate policy or its very long quantitative easing policy which resulted in the Fed almost taking over the mortgage market, and that is the minor issue for this week.


In order to run the virtual reality experience on your computer, you'll need to download the correct files. To start, you should be on a page that has the heading with the title of the release, in this case, Initial Release. If you're on a page without that header that shows the readme details, you'll need to click on the link that says a number of releases, in this case, one release. Next, download the zip file that says vt, vr, and a version number. After it downloads, you'll need to unzip the file somewhere on your computer. After the file is unzipped, turn on your vr headset and have it ready to go. Then, click on the application file named vetmed dog only. Your computer may prevent you from running the file, but clicking on More Info will show the option to Run Anyway. After you click Run Anyway, your virtual reality experience will launch. This example used the files for the vr dog, but the steps are the same for the vr cow, except that the file names will say cow instead of dog.