Hello, I'm Daniella. I'm Ted. And I'm the product manager for Dryad and I work at California Digital Library. And I work at metadata game changes. And Ted's put in here the Roar for CDL and no Roar for metadata game changes. Well, we have a Dunn's number. It's a traditional identifier that we're trying to work into the Roar. So what we're gonna talk about is that we have this problem. So Dryad has 27,000 data publications. And because of different standards and when we're thinking about publishing articles and data and not having a standard for institutions, we never actually collected the institutional affiliations for any of the authors for these data publications. And that's a huge missing thing that we're looking for. And what makes that a problem? Well, a lot of institutions want to know a research output from their institution. We want to know the usage by researchers in their institution. We want to be able to see what's coming in to a central place like Dryad and then send it back out to an institution. And really right now, we just don't have any standard way to find that. And we're also just don't even have that raw information to start with. So we came together and talked about how are we gonna find all this information for these Dryad data publications. And we know that in the past Dryad has only required that data be related to an article. And we know that journals send that information to Crossref. And that was the first place that we were gonna start looking for this. But when we started, we found that we could only find half of all the affiliations in Crossref. And that's because there isn't a standard that's far for institutions to be sending that information. And so we also had to start looking at places like PLOS that have open API's that allow for us to start pulling this information. Bring on Ted. So we get the affiliations out of either Crossref or PLOS. We also have a small army of curators that are manually generating some, which is of course hard and much appreciated work. And it goes into the meat grinder. And out of that comes a token. And the token goes into Roar to try and convert the token into an identifier. And the goal in the end is to get those identifiers into the data site meta data for this, for these data sets. And what I'm going to focus on today is really this part, taking the affiliation data from Crossref from PLOS and trying to generate Roars. Who here knows what Roars is? Roars. Roars, our research organization registry. There are a new open identifier, Maria Gould gave a talk on it earlier today. She's back here if you have questions. So this is what a perfect affiliation string looks like. People that are teaching people, scientists, how to do things effectively with their publication should work on writing simple affiliation strings that we can extract things like names of universities from. This is a good one because it has consistent telemeters. This is a semicolons in this case. And there's a single affiliation that happened to be delimited by those telemeters. So we can obviously recognize that pretty easily and turn it into a Roar. So this is a very simple project. Unfortunately, the world looks a little bit more like this. There's a lot. We have some number of tens of thousands of these strings that we're trying to work with. And here we're at CSE. And that's really wonderful if there are commas separating the tokens that you're interested in. And you can see some of these have commas, but some of them have semicolons. So there's multiple delimiters and we need to try and work with multiple delimiters. And then of course there's some strings that don't have any delimiters that you're trying to find these tokens in. So my approach to that is to identify or to create some targets, which are strings that are expected in organization names. And these are things that that you find by looking at the data, doing word counts or just becoming familiar with it. And these become the targets that we're looking for to try to identify the names of organizations in these strings. And so it looks like this. This is the most common word in names of organizations. Research organizations happens to be a university. It happens in many languages. So we use UNIF, which works in most languages. Things like national is also useful in a lot of situations that a lot of these tokens are things like department. One of the things about that we know about organizational organizations, they're hierarchical. So there are usually a department of X, University of Y. Roar is currently focusing on the university level. But I want to try and build this tool so that we can do it at different levels of hierarchy at some point that becomes necessary. So department can be important. But there are also strings where department is actually the identifier for the organization that you're looking for. So if it's Department of Agriculture or Department of Interior, or other things like that, you want to be able to find those tokens that start with department as well. They're going to be at the right level in the hierarchy for Roar. So this is just a selection of UNIF things. And we already know that the University of Arizona is a perfect token in this case, a perfect organizational name. There are other challenges in this in this data set, things like names of universities or other organizations in non English languages, which unfortunately is a challenge for me if it's not English or German. A lot of funny characters sort of that are in these strings and cause some challenges. And then also strings, as I mentioned before, that are delimited by other things. So in this case, they're delimited by commas. Obviously, it's a simple problem, but it's just one of the kinds of, so the simple problems add up when you're trying to munch a fair amount of text. So this shows a set of replacements that are made in the process of converting the original affiliation strings into these tokens, a lot of replacements for UNIF dot. Another good thing when you're writing these strings, if you're writing them into your publication platforms, is try to avoid abbreviations. That's sort of a good thing in most many data processing tasks. So this is a lot of UNIF abbreviations. So this is that original input that we looked at. And these are the tokens that were identified using looking for these targets. And now we have other challenges, which is one is that we have affiliation strings with multiple targets. So this one at the top is a laboratory in China. It comes from a China Agricultural University, which is the token that we're looking for here. And the rest of these are things that we need to try and avoid. Or they might be candidate, they would be called candidate tokens, but in the first string, we just want one. In the second string, we've got a few different things. We've got Cavendish Laboratory, which sounds like it could be at a war, the appropriate level for wars. We've got Imperial College London, and of course, college is one of our targets. But notice in the second string, and the way that I highlighted this makes it a little difficult to see, but there's actually affiliations for four authors here. And the affiliation for two, three and four have two, three and four written in front of them. But so this is the situation that occurs in a lot of in a lot of these examples. And people also write extraneous text, like from the Department of Zoology, or, you know, just extraneous labels, they're writing those labels because they understand that labeling things is good, and it's generally a good practice. But unfortunately, when you're trying to process a bunch of these things, those labels can become difficult. We're back to our data set. So now we've got a bunch of affiliations, like we recognized back here. And now the question is how can we convert those to Roars? So Roar.org has a nice API for giving it a string or giving it other kinds of identifiers, which is going to turn out to be pretty important, giving it a string and getting search results. So and there's also a first pass at a reconciler for Roar that is compliant with open refine. So it's another approach that you have. So in many of those affiliation tokens that we talked about, they make an exact match. So you can go against the Roar API with a thing like the University of Arizona, and you get something back that's called the University of Organization, and you get the Roars. In a lot of cases, because of these differences in delimiters or these things that are piled together, those matches are not quite so easy. Or it could be that some of those funny characters are at different places in the words. Unfortunately, it doesn't seem to be a systematic replacement in that case. And those things, of course, came from Crossref or PLOS. So we want to keep those of the strings we're searching for. So in other cases, you need to look at these affiliation tokens with a human brain, at least in this first pass, and try and say this, this is not an exact match, but it is a valid match. So we have two kinds of matches, either exact or valid. And that gives us, you know, looking at this, this about this many exacts, and about this many exacts or valid. So the result so far, in a sample of the Crossref metadata, we've got 8,826 DOIs. And of course, those DOIs are publications, they have multiple authors, and some authors have multiple affiliations. So the number of affiliations expands. The number of affiliation tokens gets a little smaller in this case, which is good, we have 11,000 of those. And we're matching those up with 2,500 Roars. So in this case, of the DOIs, we have 7,1% of them that we're able to assign Roars to, and 65% of the authors that we actually have Roars. And those numbers grow in two ways. We increase the number of Roars that we know, or we go through and look at the data and try and match things up at this point by hand and by improving the algorithms that we're using. In the PLOS case, we started with a smaller data set of 2,496 DOIs, roughly 7,500, 8,600 affiliations and tokens, and 1,592 Roars. So in that case, we actually have Roars for 91% of the DOIs, and 75% of the authors. I'm hoping that these numbers can improve. Of course, there are a lot of affiliation strings. There are some organizations that don't have Roars, not very many of those. But there's a lot of affiliation strings that don't actually include names of organizations. There are addresses or random words. There are some affiliation strings that are department. And so I don't think we'll get to 100%, but I'm hoping that we can get, like in the PLOS case, at least over 90% of the affiliations or the DOIs with Roars. And of course, this will improve as a function of time. So future directions. What this project is really about is about the adoption of unambiguous identifiers in metadata systems and metadata repositories. We know that we have a lot of metadata repositories in the case of the Dryad one that was one that didn't have information that we needed. And we also have repositories that have affiliation information or they have human names, but they don't have identifiers for those affiliations and they don't have things like orchids for those IDs. How many people here know about Crossref? So Crossref, as we'll talk about it in a minute, it's got 110 million DOIs. How many of you here know about orchids? How many have orchids? Well, it turns out that only 9% of the records that are in Crossref actually have orchids. So there's a lot of room for getting identifiers in there. Something like 13% of the records that are in Crossref have affiliations. So we're going to try and get this attached system to Crossref and also to DataSite for inserting these getting these identifiers in there so that we have a enough in there that we can demonstrate the benefits. There's a lot of great thoughts today about helping people understand the benefits of various aspects of open science and helping people understand the benefits of unique and persistent identifiers for people, organizations, publications, instruments, algorithms, locations, etc. helping people understand that requires having some critical mass that you can demonstrate the benefits. So that's really what we're trying to start out with here. Many people here are familiar with Open Refine. There was a talk earlier about the Carpentries Great Talk by Cary mentioned Open Refine. It's a useful tool. The user interface is sort of challenging if you have large data sets and I need to look and try and learn the API for that. Simon is here sitting in the back in this really bright colored checkered shirt. Simon is a wiki data expert and he's our first partner this week. There may be others today. We still got options and he's adding Roar as a property to wiki data. So what that means is that we can use the wiki data reconciler that's already built into Open Refine and has existed and been evolved over the years to reconcile these names. And then we can use, we can just, once we find a wiki data ID for some organization, we can say give us the Roar for this organization. So that's going to be a huge change. It will also allow us to connect to the existing wiki pages for those organizations as landing pages for those organizations. That's another cool thing to work. Simon's got an ambitious schedule for that. We hope to have it working during this month and it's going to be super cool. And then also testing and implementation with more partners. So we're looking for partners. If some of you here are interested in this, we'd love to work with you. Another nice thing about Crossref in this case is it has over 12,000 members. So if you're, even if you can only convince 1% of them that this is interesting and that's enough to keep us busy. So I developed some tools just a little while ago for visualizing Crossref metadata and in the upper right hand corner of this is the percentage of records in Crossref that have affiliations. On the left is the Korean Society for Plant Biotechnology and the orange in here is data that's older than two years and the blue is data that is two years or less. So this journal in this case in the last two years has had a huge increase in the number of affiliations in their Crossref metadata. So I can use this analytic at looking at the metadata to identify potential partners who have obviously put in, you know, they've made some organizational decisions that have resulted in increasing the number of affiliations in their metadata. And so when you're trying to convince them that identifiers for those affiliations might be useful, this is a good target audience. On the right is Hindawi, probably most of you, many of you know about Hindawi. Yes, an open publisher does 20,000 articles a year roughly. So maybe it's, I think it's 20, no, maybe, yeah, I think it is 20,000. They have about 40,000 resources in Crossref and you can see they have a long history of populating those, those metadata records with affiliations. So, and they're also interested in open science and you can see because all around this circle, the lines are close to 100%, they've got a lot of stuff and a lot of affiliations and DOIs. So those are the kinds of groups that I'm looking to to try and partner in this work. Any questions?


Today, we're going to be talking about Fresh.  So Fresh is a movie that follows a young woman played by Daisy Edgar Jones. Her name is Noah and She is battling the horrors of modern dating. She's going on dating apps She's going on these one-off dates and they seem to be very bad. Good luck finding a guy.  You too. I'm not gonna text you but I'll really want to What unfolds next is a 30-minute sequence of them just going on a date getting to know each other having fun They go to dinner. They have drinks. They have their first kiss.  I'm just this is a bit too much Like can we just take a break and then she says do you want anything to drink or eat?  I hated the 30-minute drawn out first sequence where it was a lifetime romantic movie after the second watch I found myself enjoying the sequence a lot more I found it to not only be a great creative choice, but a necessary choice for the film you get good character info on Noa and Steve in a seamless manner of them getting to know each other You get some funny foreshadowing throughout those clips where you're kind of like what is everyone saying? She's under the fresh meat sign. He's saying he doesn't eat animals What's going on? Noa wakes up in a new room and realized she's not just on the floor, but his chain to the floor She looks up to find Steve sitting in a corner waiting for her to wake in my opinion This was one of the scariest scenes by far.  It's just very eerie something about the way they shot it Just right me me pins and needles pins and needles all over my skin, and I hated it But I loved it after Noah starts breaking down crying.  He's just going to sell her meat He explains that he slowly cuts off body part by body part to sell to the elites who love to eat human flesh He explains that keeping her alive as long as possible is what makes the meat more valuable I love this scene. This is one of my favorite scenes in the movie I know it's pretty on in the movie to be saying that one of the scenes is my favorite But after going back and watching it again, this scene still gives me like the like It like literally makes my skin crawl again while watching it every single time It just I don't know even knowing what happens afterwards. It just like literally This scene. It's just really well done by Sebastian Sam and Daisy Edgar Jones. It's directed wonderfully. It gives this very claustrophobic Doomsday energy Which I really like Noah decides to ask Steve for a shower if she can have a shower He then agrees and takes her to the bathroom While she's going to the bathroom. She decides to try to hit him and make a run for it So Noah ultimately fails at this. I mean her hands. She was handcuffed. I'm sure she's malnourished It's been a day. She was just like drugged like she's weak. I'll give her that.   I'm taking her ass Alongside Noah's story at steve's cabin where she's being held hostage We also have simultaneously happening Noah's best friend Molly trying to find where Noah is So she goes on some google searches. She tries to find out more information about him She realizes his name is not steve.  She also finds out he's got a wife and kids And then she's texting Noah and she realizes the texting behavior is Different Molly goes to steve's house and she finds his wife there She starts asking his wife if she knows where her friend could be Steve gets home and he's like who's this who's our guest and then she's like, oh This is Molly. She's trying to find her friend and he's like, uh, I don't know any Noah But obviously molly is still suspicious So she calls Noah when she calls Noah you guessed it steve's pocket rings He looks at her. She looks at him and he goes Noah starts talking to steve not knowing that his latest victim has been her best friend And she decides to start asking him about cannibalism What does it taste like? Why did you ask me what it tasted like? And he enjoys this he enjoys, um being the main character.  What's gonna be next? Her boobies Before they eat she starts asking him more questions. When did he start? Why he does it? Steve states that he started when he was about 18 or 19 And he explains how amazing it is how amazing giving yourself over to someone in that sense can be Becoming one with somebody else forever And that's And this rhetoric that eating someone can be the ultimate form of bonding that it is the ultimate way to Connect with someone at the end of the day There's no better way than giving yourself up to someone to ingest But if you've read like literally any story on cannibals like the few that are out there Like you're probably gonna come across some that are like no like this is how I bond like this is like I want to eat my partner at the end of the day and they want to eat me at the end of the day Like that's what we want to do. I wish we got a little bit more into why steve was a cannibal I liked it that a little bit that they did choose that like it's the ultimate bonding thing Like it's the it's giving yourself over to someone like I liked it that they did that I wish they did it more because I find it I just really wanted them to really make that steve character full So we could have all sides of this character by the end of the story This is a real side note But all I can say is that I know human meat does not taste good Like if you are thinking about being cannibal don't not from experience I'm never eating human meat But I have spoken that I would eat human meat if it was consensual like if someone like was cutting off a piece of their leg And they're like hey, like I'm giving away my meat Like I want people to try it and like people who want to try it like you can try it like it's a meat It's my leg tasting party I would be down like if it was consensual they weren't dead like I would totally be like well if you like if you were right there And you're saying that I can eat it like I'm totally like I would try it Oh, honestly, even without being said that I would try it.  He's like let me do let me Let me get jiggy with it Let me let me bust a move right now real quick and you know tear up that dance floor and And not apologize for any second of it You know what I mean? They do this very very interestingly long slow motion dance scene of them like Just turned it up to be honest as much of a mood shift This was as much a bay tone shift. This was for the film that it was like This was a really big build-up suspense thriller What's going to happen next where's her friend is she gonna get out like it? It's just them dancing for a long time and although it's a mood shift. It's entrancing.  She has toothpaste she rubs toothpaste in his eyes and then she runs out and she locks the door And she takes the keys and she runs runs runs runs runs runs runs runs runs runs runs runs runs runs runs runs runs to the cells And I know his downfall is a lot more than just this scene, but in this simple terms as we can get it It's so funny to see a man's downfall be because he wanted a blow job He could have asked his wife for one, but lust kills his ultimate downfall was having sex It wasn't cannibalism But he decided to have sex with Noah, then he wanted a blowjob. He would have been able to get away with it if it wasn't for his lust. It's ridiculous. We could all get away with cannibalism if we just didn't participate in sex. Steve is getting messed up, and messed up to a point where they believe that he's down. Like, he's down. Like, we can make a run for it. Well, they're wrong. They're wrong because he gets out of the cabin. He gets out of the cabin.  He's pantsless. He's got a bashed in face, but he's also got a gun. So now he has a gun. He's shooting aimlessly into the woods.  I want to eat them. They're so delicious. She goes, give me a smile.  I loved it. I loved it. I loved the fact that all the gore was mainly on him, which is such a refreshing thing to see in horror, because I have noticed a common theme without horror, and this branch-off genre of horror where it's just kind of like women being tortured, and that's so scary and like that's horror now. When like the basis of horror, and like a very big trope within horror, and based off of this like final girl trope. It's about this final girl survivor making it out to the end, and then it was really refreshing to see that even though there was gore dissuading this movie, it was mostly focused on Steve. As soon as we believe the horror is to be over, Steve's wife shows up on the property. Don't remember her name, and don't care to go looking up right now. She finds Steve's corpse and orders the employee to go put him on ice, revealing that she really didn't care about Steve. She was worried about the business. She was worried about the family business for sure. She was worried about the small family business, the mom and pop shop if you will.  Earlier in the movie we saw that not only was she a contributor to the violence Steve was committing, but also a victim of said violence.  She goes up to Noah and she like tricks her into thinking that she's like a victim or something. Well she is a victim. And then she ends up trying to strangle Noah and like you're probably wondering like why?   So this draws parallels between Steve's wife and Noah in a way that they both sacrifice parts of their morals and themselves to survive. But at what point is it no longer surviving and just becoming another partner in crime? Noah is seen betraying her own morals by eating other women that were a victim of the same circumstance she was in and relating to Steve that she understands the desire and wants to help him. But she does it to not only save herself but the other women trapped as well. And we see these parallels and we see this major jealousy strike within Steve's wife because she was Noah. Like they did the same things to survive and Noah was beginning to take her place. She was becoming the other woman sort of deal, you know? Compare the two characters side by side and what they do and how their actions are, you know, displayed in the movie. It kind of shows or like highlights this complicit or it kind of emphasizes selective and complicit feminism within society, you know?  His wife is almost as bad as him in the movie.  The film ends with all three victims surviving and we assume they make it to safety. So the last shot of the movie focuses in on a group of men of all different kinds. They are surrounding a table and in the center of the table there is a pile of meat. And it's assumed to be that that is Steve, that that piece of meat is Steve in his final stage of getting the same exact treatment that he gave all those girls being treated just like a piece of meat. Before I give you my final thoughts, which are the most interesting thoughts, let's hear it from today's sponsor. Today's video is sponsored by Raycon. I love Raycons. They make wireless earbuds that are super comfortable and super high quality. Raycon's everyday earbuds look and feel amazing. They have premium sound quality that start at about half the price of other audio brands on the market right now. With optimized gel tips, Raycons all come with the gel tips, the gel sizing tips so you guys can figure out and try which gel tip works for your ear the best. So it makes Raycons super comfortable and they will not budge. Raycons offer an eight hour playtime and a 32 hour battery life. So this means you don't have to worry about Raycons dying on you in the middle of while you're doing anything. I use Raycons when I'm filming. I use them when I'm working out and I don't want my earbuds to die when I'm in the middle of a workout session or filming session because that would literally ruin my day and so I always make sure if I'm going out, if I need earbuds to last a very long time I bring my Raycons. With all of that amazing stuff being said about Raycons, it's no wonder that Raycons everyday earbuds have over 48,000 five star reviews. I love them. I know so many people that love them and I'm going to keep recommending them because I genuinely just like them and I use them all the time whether I'm working or just doing everyday things in my life. If you guys can click the link in the description or go to buyraycon.com to get 15% off your order today. Thank you Raycon for sponsoring today's video. This film can be interpreted in many different ways whether that's just a classic horror story about cannibalism, a commentary on the modern day meat industry, or a depiction of the disposable view society has on women today. This film has so much to be talked about. It opens up so many conversations. I think there is tons of ways it can be interpreted and tons of ways it can be enjoyed. I really love this film. I really love the director Mimi Cave. I think she did an outstanding job on it. I love the creative choices taken in this movie because what's better than a movie that makes you want to talk? That is great. If a movie doesn't want to make you talk that means it's not good. The fact that I want to have endless conversations about this movie just means it's got to be on my top of the list because I can keep going on and on and on about it. There are so many layers to talk about and I don't even think that I covered everything about this movie in this video but I really just wanted to wrap it up in an organized way. That pretty much wraps up all my thoughts about it.  I want to know all your thoughts. I love getting to talk to you guys about these movies that I could just talk about forever. Whether it's a really bad movie or a really good movie if it makes me talk it just like literally stimulates that part of my brain that goes like it just makes me very happy. It stimulates the part of my brain that goes we by basically saying it makes me happy. Wow. You guys are following me on Instagram and Twitter. My Instagram is at Tikal level. My Twitter is at level trend. My Letterbox is at level trend as well. Please follow me on Letterbox because I am using it like crazy. They'll be linked to in the description. Thank you guys so much for watching today's video. Let me know what videos you want to see next and I will see you soon. I'll see you soon. Bye.


Yeah, yeah, yeah, I know that show I still haven't seen it, but I know which one you're talking about now Okay, we're live to the blacklist Okay, the blacklist I'm there might be blacklist lovers here, but I'm not one of them I think it's a bit weak. Don't don't I don't even know what it is. Oh It's one of those blacklist lovers. Just remember I didn't say it I mean in every free moment of my life It's a show that my father-in-law loves I'm still very stuck on Barry. That is my favorite show right now. Did you watch this week's I did What oh my goodness? Yeah, what's Stuck on Barry. It's getting dark. Oh Barry is the name of the show. Yeah We are stuck. Yes. Yes. Oh, it's Barry as in B a Yeah, it's a really good show, but it's it's dark HBO. Oh dark. Okay. Maybe I don't need that It's not super dark It's it's it's dark, but it's not like It's funny. That's it's not as dark as dark can be it's not like handmade stale dark Nothing is The premise is dark. It's taking a turn where I'm like, okay, we're gonna have to deal with something Bill Hader plays an assassin who wants to get out of the business and become an actor Right interesting And so there is a lot of comedy involved, but it's also like the subject matter is Not lighthearted Um at all I'll I might watch it since I have HBO Nordic here. It's really good. It's really good Okay, are we ready to go? I am Mm-hmm. Let's do it then. Here we go Daily tech news show is powered by you and hats to find out more head to daily tech news show.com slash support This is the daily google news for tuesday may 8th 2018 in los angeles on top merit and with some other news to contribute from studio feline I'm sarah lane And from finland. I'm patrick. Sorry. I'm a little bit tired today And so there's a lot of news out there to wade through Tire a man out plus the time difference between us Thankfully, we have roger chang to bring us all together. Hello. I'm here to bring people together He's like an infinity gauntlet of tech news. No, that doesn't work I was thinking more like a large pizza pie where everyone sits around the table. That's much better Yeah, the soul slice The time slice Yeah, the mushroom, but no anchovy slice Most of the show is going to be about google i o not pizza, but let's start with a few tech things you should know Google's research department which includes computer vision health care machine learning among other things is rebranding under the name google ai Which will include all of research google.com channels and affiliated social links like twitter and google plus channels Well, they thought everybody was looking at microsoft build and google i o facebook Just shook up the house chris cox will now run a new division in facebook called family of apps That'll include facebook instagram whatsapp and messenger david marcus who was running messenger will now run a new team dedicated to the blockchain Which alongside ar vr and ai will be part of a new division called new platforms and infra under cto mike schrupper And vice president of growth. Javier olivan will now oversee a third division called central product services Which includes shared features like ads and security and to top it all off Remember jan kuhm left whatsapp. Well, they've got a new boss chris daniels takes over as vp of whatsapp Daniels most recently was running facebook's internet dot org efforts. They're the folks that offer free basics by facebook Hey, couldn't they have called it new platforms and infrastructure? Like do they have to try and sound cool? I'm just copying and pasting from recode with that name. I don't know that that's the official name Before we start throwing stuff at them. Let's let's just be careful that's um microsoft announced better terms for windows developers selling apps in its microsoft store Reducing its share of the revenue of the revenue it collects from third-party windows apps that aren't games The new terms give developers 95 of sales and 85 if microsoft helps surface the app Through spotlights or as part of a collection for games microsoft still collects 30 of revenue for apps of a non-subscriber basis And 15 of subscription based uh game apps No word exactly when these changes will go live Basically microsoft saying Please please use our app store. Please Yeah, I mean it's undercutting both the google play and the apple's app store Which both take 30 of apps across the board. So It'll be interesting to see if this Encourages more development Square is launching square for restaurants a software platform for restaurant operations that handles booking tables and managing that after meal check Square acquired on demand food delivery business caviar back in 2014 for reported 90 million dollars Now it's coming to light a little bit why that acquisition was made It's part of the new restaurant system Square says its software has the ability to update menus and floor layouts remotely performance tracking tip splitting fraud protection as well Square for restaurants is the company's third point of sale offering after launching square for retail and square for appointments for service-based businesses Twitter for android's application package shows code for encrypted direct messages, you know dms a secret Conversation option could help twitter better complete encrypted communication or compete with encrypted and communication apps like signal telegram WhatsApp apks often contain code for unlaunched features the companies are testing before the features go live If they go live, there's no guarantee 18 months ago whistleblower edward snowden Asked twitter CEO jack dorsey for encrypted dm and dorsey at the time said that's reasonable and something we'll think about So maybe they did it The real question is when will twitter include a story's functionality? That's what I want to know. That's not the real question It might be it's a different question. Okay fine. Fine. It's additional when you're Some answer statements android appears to now be recognizing amazon's voice assistant as a possible google assistant substitute for the same way It does microsoft's cortana So you can set alexa to be your default assist app instead of google assistant You'll need amazon's alexa app then make the switch in the settings apps default apps assist and voice input setting After a long press on your home button your new amazon default assistant will fire up just like Assistant would yeah Is a very very very good move in my opinion on google sport Hey folks, don't forget you can get all the tech headlines each day in about five minutes by subscribing to daily tech headlines available on The amazon echo the google home and the anchor app or at daily tech headlines dot com All right, let's talk a little bit more about google i o we're going to go through Uh the groups of announcements they had today first thing I want to give acknowledgement to is accessibility google adding morse code To gboard for accessibility it comes to gboard on ios and android now Granted they could do more But it's nice to see that google and microsoft both continued this trend of of treating accessibility seriously in their keynotes May have an image to make up for the big tech companies Yeah, and if people are like wait a minute morse code. How does that accessible? The example they used was a couple who are developers one of which uh can't speak Uh and she has limited mobility So she's able to just tap left or right to create dots and dashes Which is makes it easier for her to type out things that are then spoken by texas speech. That's amazing. I love it In the artificial intelligence realm google photos will start suggesting fixes to photos Like it'll say oh, did you want to rotate that looks like it's on its side or it's a little bright We can dim that down for you or vice versa Can also recognize people in photos and offer to share the photos with those people There's a colorize option so you can make your black and white or sepia tone cut photos color Using a little ai google photos scan can fix photos of documents by zooming in and cropping them and also turn them into pdf's if you want google also announced tensor processor unit three which is of course optimized for google tensor flow And gmail's getting smart compose which pops up suggestions to complete the sentence you're writing You just press tab if you want to accept the suggestion that's going to roll out to all users this month Sounds scary Well, it's not Make sure you read the autocomplete, you know, oh right right. Yes Uh, I love the idea, you know when I first read about like black and white photos going to color What in the world like aren't we all making our colors photos black and white, you know for artistic purposes However, if you're scanning old photos or Otherwise, you know what want to go the other way that's pretty cool It's yeah, it's a little bit of a specific use but when you do have a use for it It's it's really nice. It's really impressive how the scope of suggestions that ai's can Create is getting wider and wider. I mean if we just take the example of gmail We've had suggestions for words for a long time Especially on on mobile phones keyboards. And now it's actually suggesting entire bits of sentences And I will have to wait and see how relevant they are But it's so contextually complex that it's even more impressive than words, obviously It's just it keeps chugging along, you know, and and however Worried we might be about where this is going It doesn't seem like it it's going to stop anytime soon. So I the price is a lot about me that the pdf thing was The thing I was most excited Uh, let's talk about google assistant, which of course incorporates a lot of this ai Google assistant will now be able to answer follow-up questions without you needing to say the trigger phrase over and over google calls that continued conversation Assistant will also be able to handle multiple requests in one sentence For instance, I could say what was the cardinal score last night and how many rbi's did marcello zuna have? And assistant will be able to parse that and say oh the cardinals won three two and i was in ahead three rbi's or whatever The big one though that everyone's talking about is google duplex Which brings together text to speech and deep learning Google showed off using the assistant to make calls to real locations that didn't know it was a bot They did one with a salon and one with a restaurant Where assistant understood the context had verbal pauses like ums and aas And was able to book appointments and reservations Uh google will use this to phone businesses to get holiday hours and update the listings automatically starting this summer This was definitely something where they said it's not ready for everybody to use yet It doesn't work all the time But we just kind of wanted to show it off and it was pretty impressive Pretty impressive It was unbelievable like literally I cannot believe That it actually works the way they're uh presenting it and they were pretty straightforward in saying, you know It doesn't always work like this and they even have a a few examples They just published an article detailing the whole thing and they have examples where it doesn't work and but Even if it works half as well as they're advertising it I'm telling you I I cannot believe it works this well You have to go and listen to one of those conversations to check out how impressive it is I I trust google enough that I think they are at least close to that representation But if I didn't know how good they are I would you know if you listen to the conversation No one in the world would would Assume that this was not a human being speaking it was it's not readily apparent Especially because it would talk over the person on the phone and say, uh Oh, I gotcha and things like that like it it was very natural now. Pichai admitted He's like not every one of the tests that we've done has been Has been as smooth as the ones you're hearing now Uh and the the one with the restaurant was not smooth on the side of the restaurant The restaurant would kept misunderstanding what it was saying and it had to adapt to that and understand that there was a Misunderstanding and then try to correct the misunderstanding which was impressive So I I doubt that it works that well all the time. We saw the two really impressive versions of this Which is why it's hard to believe I think it's it's expected that it wouldn't work that well all the time But honestly the fact that it might work that well some of the time even is already impressive You know, it's already kind of unbelievable that it would be able to achieve this Even a portion of the attempts that it does Here's a really dumb question. So, you know in in in real life Let's say I'm calling my hair salon. I want an appointment, right? And so I'm essentially giving them the reverse phone tree where you know Things get to a point without me having to do anything, you know without them having to actually talk to me What is the benefit? From someone being confused to the point where they think that google duplex is really a person Because you don't have to do it yourself. You just say But if they knew what I was doing, what does it matter that I'm using google duplex Why does it have to mimic a person to the point where they wouldn't be able to discern the difference? Oh, because they don't know that it's a bot and the if if they it introduced itself by saying Hello, I am a bot and I am going to make an appointment for my master They they would pick, you know, they would hang up immediately I I think the point is not to fool them The point is to be able to handle whatever the person on the other line and says in a way that would make a human comfortable Well, it's not even yeah, it's just like no, I think it plays a lot being able to understand the other person Causes them to think they're talking to a human But the point isn't to fool them. The point is let's make sure we are able to handle this conversation Well, yes and no I do think the point is also to fool them a little bit because any business that would have a system in place to handle automated Conversations or, you know reservation systems would not need this It's kind of like designing a robot to use a door and a handle, you know, it's it's using Something that was designed for humans So it's kind of mimicking the human so that it doesn't have to You know, the the environment doesn't have to be designed for it. I think here. It's the same thing Google creates a system that Any to adapt to Human interaction so that on the side of the business, they don't have to do anything. They're just receiving a phone call All right, a few more google assistant news pieces There's a setting called pretty please launching latest this year that teaches children to use polite language For instance, when children say please assistant responds with positive reinforcement Also will not work if they don't say the magic word google's adding six new voice variants to google assistant Built on a system called wave net to make it more natural sounding and later this year. John legend's voice will be available I've been waiting for that right, wow Which means that all the calls to salons and restaurants will be made by john legend in the future And uh google demonstrated lenovo smart displays with google assistant and those devices are coming in july So how do you guys feel about the idea that google's like well, let's make kids more polite By using this very specific sociological way of doing so I have to say it's an option. It's not on by it's not forcing them. It's for parents to be like We want to teach the kids to be polite. Yeah, it would be nice if you could um customize that Yeah, yeah, it's it's it's so it's okay The the thing that impressed me a little bit more was the john legend thing I wonder how much they paid him to to do that And how do they have restrictions on how they can use his voice? Like it's everyone you're going to see people have uh google assistant say Silly and offensive things with john legend's voice The key was you uh legends voice will be used in certain contexts. Right. Right. That is the key takeaway phrase Google news is getting a redesign. It'll aim to help you keep up Understand and support the sources Google news will use reinforcement learning an AI training technique to better understand your behaviors and give you five top stories Right at the top when you open the app New tabs will include a for you section a headline section a favorite section and the newsstand will move into google news That'll contain local news and youtube videos not the newsstand But the whole thing a feature called newscasts will give you an automatically generated preview of a story from multiple sources Another feature called full coverage will organize stories into a viewable timeline And subscribe with google will give you access across platforms Of more than 60 publishers so you don't have to log in again if you're on the web or ios or android All that comes to android ios and the web in 127 countries now And everybody should have it by next week Well as somebody who uses google news religiously particularly for daily tech headlines I welcome uh these advancements google news is already an invaluable tool for me So anything that makes it more robust? I'm into it. I hate I use google news the way it works right now. I don't want them messing with the way it's presented I'm gonna have to come up with a new way of doing things Old man tom is I know newscasts newscasts are essentially Stories adapted to this format. It was very reminiscent of the stories format again Um, I'm very curious to hear what the deal is between uh google the google account link to the publishers And who gets the information do the publishers get the information about Their subscribers because that was the sticking point That the issue that was happening between apple and the publishers and why they didn't want to use apples The answer is yes, they do because google google is a little looser about that stuff And I don't think they would have signed on otherwise, but we don't know that for sure Uh, let's talk about android pumpernickel, which is not the name of android p They didn't announce that but they did announce adaptive battery Using some deep learning more ai to figure out which apps you'll likely use And then manage the battery life appropriately to update only those apps adaptive brightness similarly for the brightness on your screen App actions will predict the next option in an app You're likely to take and present that to you making it easier for you to get onto the next task Something called slices Will let apps put their buttons elsewhere in the ui the first example will be search So if you search for lift it will show you like two slices like oh here are the current prices Here's how to book a ride an early developer program for actions and slices will open next month And ml kit was introduced ml kit will let developers work with google's cloud or directly on the device to add machine learning It is also cross cross platform. So it runs on ios and android I think slices were really interesting in that whole Uh description. I I don't think it's just button. It's it's the buttons. It's basically a slice of the entire app That they can that's true. That's a good point. Yeah, so so it's a way of uh Getting an app the portion of the app outside of the app itself so it can be reused in the whole system It also means that google can create uis that don't require you to go to the app So you stay within google's I guess context It's an interesting concept Android will add a dashboard that shows you how much you use your phone and prompt you to take a break Notifications can be rolled up into a daily digest YouTube will roll out that option this week. There's a kids are awesome Feature to help you manage your kids screen time. All of these tools are launching with the company's digital well-being site later this This later on the on tuesday, which is the day we're recording this show Uh, there's also a bunch of other digital well-being features android p will give you hard App controls to manage your time on your phone like setting time limits So an app will get grayed out when it hits the limit to remind you you shouldn't be using that There's a feature called shush That can have your phone go in to do not disturb when you flip it over on a table So it won't even vibrate do not disturb. We'll also now mute visual disturbances like notifications Winddown mode will set the phone to gray scale at a certain time of night When you're supposed to be asleep to kind of help you put the phone down before you go to bed And coming this fall starting with the pixel android p beta coming to pixel plus and seven devices right now So you can get it now for the pixel nokia vivo one plus sony xiaomi essential and opo phones You know as somebody who goes into airplane mode, of course, this is on ios because that's what I have regularly But still that's like that's sort of like an all or nothing thing The idea to be like I need to not be disturbed in certain scenarios in this certain way or there are certain apps where I need to limit my time, you know, i'm on instagram too much during the day or what have you I love the idea of being able to get more granular with this. Yeah google maps had a bunch of announcements too google maps getting integration with google assistant So you can ask it to do things like share your eta with someone by text message or control the music While you're driving you don't have to touch the device google now able to add new addresses to businesses and other locations Directly to the map using ai and satellite imagery so it can just look and say oh that's that's a burger joint Let's add that a new feature called for you Yes, they also use that phrasing in google news will feature recommendations on google maps trending listings other new stuff to help You discovered new places in your neighborhood google maps while the new score called your match To find you places you might like based on your preferences Shortlist is a feature that lets friends vote on options. So if you're like, where should we eat? You can all use google maps to coordinate That's coming to ios and android versions of google maps this summer And soon you can get updates from small businesses and book appointments and make orders From within google maps So make it maps more about just nap more than about just navigation a little bit more of like a four square swarm integration into google maps if you're already in there Is this something you guys see yourself using because i definitely do this is stuff where i've been using google maps Kind of in a workaround for and wish it could do this kind of things not so much the group planning part But they're like, you know understand what i'm looking for let me know when there's new stuff around that i might be interested in Yeah, it's again suggestions. Yeah, I think I like that. Um, I'm also very impressed by the Its ability to read into photos and satellite imagery to populate its uh, it's data database that is really impressive again Google will now combine ai with street view on google maps So labels directions and locations will show up on the screen If you need walking directions, you can just hold it up and it'll show you the scene you're looking at and say Oh, you'll want to turn right right up there Also google lens is going to use image and object recognition to identify stuff in your photos Things like landmarks or food Starting next week google lens will be integrated into the camera app of all google pixel devices As well as the lg g7 and a few other android phones lens can also recognize words In a picture to allow copy and paste from the real world Your camera to sign like oh i want to send the name of that place to my friend Copy it out of lens in the photo into your text message If you show it a menu item you can say what is that and it'll show you a picture of the word that is on the menu There's also something called style match that'll make suggestions for things that match the style of something You see in the camera like furniture or clothing And you don't even have to be taking a photo of it to do that. You can just do it live in the camera In fact real-time results is coming to more situations over time I feel like I should be using google lens more all of the features seem awesome Um, maybe it's because i'm not using android as my uh phone So maybe that's why i'm not using it, but it seems like Things that would make my life easier. I'm not sure why i'm not using it more. I remember in 1999 Wanting to take a headline out of the screensavers website and show it to my boss And wishing I wish I could just take it off the screen and carry it over to her And this is Almost that yeah, well it kind of would be right. Yeah Yeah, you could send them a picture the photo of the thing sure, but like I just wanted to grab it with my hands not quite there All right, uh, finally waymo for some reason got up on stage. They're not google They're a separate company owned by google's parent company alphabet So I don't know what they were doing at google i o other than the fact they used to be part of google Uh waymo is launching in phoenix With self-driving car service later this year Uh, in other words, no no driver. Uh, this will be service available later this year in phoenix Waymo intends to partner with multiple car companies. Uh, they they mentioned that CEO john craftchick said that deep learning research from google brain has reduced error rates for detecting pedestrians by 100 times A very important thing for waymo to emphasize in light of what uber seems to have discovered regarding detection of pedestrians and the fatal crash that they suffered Waymo said it has logged 6 million miles and also runs a constant simulation with 25,000 cars in it To prepare machine learning for new situations. For instance weather driving simulations have allowed them to learn how to see through weather related sensor noise like snow, uh, so so Bad weather driving has been one thing that has been more difficult for self-driving cars to learn how to navigate through and they're making some progress there So just to be clear the service they're launching in phoenix is a city-wide, uh, autonomous Cab service which you can, uh, call with an app, correct? I don't know how city-wide it is. It may be limited to an area of public streets It's not in a private park and you can use an app to call for a cab and it's basically uber autonomous uber in phoenix Later this year. Mm-hmm. That is something that we did not expect to see Happening so soon and that could if it works now, of course phoenix is probably an easier Uh city to navigate than some i don't know european city like paris for example Well, yeah, the weather related stuff as well. It's maybe dust or rain there, but not as often as other locations Yeah, but it's just like the organization of the city. It's a lot more It's traffic and um, but still it's actually going to be a life Well, if it launches a life service for a real city It's a pretty curious if there's not an actual google more way. I'm sorry waymo person in there in these cars Waiting for some 100 clarification on that Thanks, everybody who participates in our subreddit You can submit stories and vote on them at dailytechnewshow.reddit.com and facebook.com slash groups slash daily tech news show Before we get out of here. Let's check the mailbag. Let's do it. Timmy D wrote in This is in reference to monday's show and robert was hoping to get some ar tips Timmy D says just wanted to send over a couple of companies that are doing ar for industrial uses Like the clean room situation that robert was talking about yesterday real wear has a headset that runs android and can do most of what the Uh emailer described. He's talking about robert real wear dot com. Also. Dackery d a q r i has a platform and a headset Not as mature as real wear, but still cool that can do what was described By the way, we had somebody else write in Yeah to to to suggest dackery as well. That's dackery dot com slash work sense Holo lens is capable of course says timmy d, but you need good devs or a third party to help you build your application And then uh, we forwarded these emails that we've been getting to robert and robert just wrote back right before the show Thanks for all the awesome input. I may have just blown the department's budget for the next two fiscal years You're welcome sent from my commodore vic 20 is what is the signature Uh, thanks to everybody who not only writes in for for suggestions But everybody who also writes in to help out and also thanks to patrick beijar for being on the show today patrick What has been going on in your world? well, listen I'm going to address the listeners directly right now if you're not listening to la onde vous tech Then really you should what are you doing like okay? It's in french you might not speak french, but you might want to speak french you might want to practice your french Well, go listen to la onde vous tech. It's very easy. Just check it out on your podcast app or on french spin dot fr For instance, I know that what i'm wearing is a chapeau Because of not because of la onde vous tech, but it could be because a lot of new tech so Uh, hey, it's speaking of hats folks We have daily tech new show hats I'm wearing one right now in the video if you're watching the video But you don't have to look at the video to see it. You can go to dailytechnewshow.com slash store. It's a real stitched hat I'm Ridiculously excited because a I love baseball caps and because it's like real stitching It's not like a patch that printed on there. It's like a real baseball hat and it's throwback It's retro gear if you want to pretend like your dts 2017 You can get this hat For our throwback days because it's got the old logo on it. Um, and it's real sharp-looking tom merit. Oh, to be honest I don't care if anyone buys these or not. I just love having one But if you did want to buy one and support the show you can go to dailytechnewshow.com Slash store and of course big thanks to everyone who supports the show directly on patreon at patreon.com slash Dtns we love to get your feedback questions comments any ideas you might have our email address is feedback at dailytechnewshow.com We're also live if you can join us monday through friday at 4 30 p.m. Eastern 2030 utc and you can find out more at dailytechnewshow.com slash live back tomorrow with scott johnson talk to you then This show is part of the frog pants network Get more at frog pants.com club. Hope you have enjoyed this bro You know what diamond club I did I enjoy it I'm glad you did I did too Good, and I'm sure diamond club is too Um, all right guys.  Okay, man. Have a day. Good show. Patrick It was awesome. Talk to you soon. Bye. Okay. Bye. Bye. Good night and good luck Just buy a hat, okay Uh, oh, I didn't mean to steal your kome line I didn't realize was that you had actually written that in no, it's okay. It's okay. I kind of I kind of was like I know I put that in there like I just remembered because I know kome. He's been around. Yeah. Yeah. Yeah.  She wrote that down. No, it's okay. It's okay. I'm glad you did because I was sort of I got a little lost where I was like, where did I put that little note? Oh, yeah I should have put it over to the right Um, yeah, no worries. No worries got through a lot got through a lot Yeah, that was we we nailed 30 minutes exactly like we did you were on it That was crazy You guys moved it's good. Yeah, I and I don't feel like we shortchanged anything. No, you actually did a really good job Just like the google io presentation. We were inspired by you And in that vein I have two titles that I liked one is Um, google please get it google please. The other one is google duplex is a legend Great google, please Get it pretty like this is a pretty pleased. Yeah And then google duplex is a legend. Those are my two faves Google duplex is a legend. It's pretty good. Those are both good There was something about the pretty pleased thing like I didn't want to get like too like I don't like that, but I was like, I don't know like it sounds like a like a Looks sounds like brainwashing No, not brainwashing, but like a children's Oh I don't know some behavioral modification I don't know just like child oppression Yeah, don't impress my kid, you know, I I kind of do that. Anyway, I keep telling I keep telling ella you say, please Like if she wants something Well, that's a that's and I I know that that's a big thing with parenting I just there's something about the pretty pleased thing that I was like I don't know. It's a little it's a little too little house on the prairie. Kind of yeah Yeah, I guess Mother may I kind of think it might be a little too. I think I understand what Sarah's gonna it it might be a it might feel a little kind of heavy-handed and kind of a um What was her name not who's who's uh the the etiquette person in the newspaper column am randers dear abbey dear abbey like kind of like Well, you know kind of a little old school Yeah, a little old school like saying pretty please just like you just said please that is that you're right That's polite, but I just don't think that it's necessarily the handy is a good way of saying Yeah, yeah, so google duplex is a legend or google Google have to get on. Oh google, please. I like questions. Should there be a comma? Yes Google please google, please What was dear abbey's sister who also had the and landers that's right. No, Emily post Yeah I used to actually really like those gongs I've never really read them I remember one about like not liking your in-laws or something in one of those columns if i'm a very interesting It's basically just bite your bite your Bio-cow says I had the comma and then I took it out before I submitted it I thought it was too much. It's probably right I'm putting it back in Google please Man, I'm sorry. I just love this hat It's a great hat.  Yep, that means wrap up Steel top story That's what we should do we should come up with uh with signs Yeah, forget the whole spreadsheet, you know red and orange really well When I when I yank on my ear three times.  I have a fly on my shirt Well, I look forward to the warriors wrapping up their series tonight One way or another Well, just actually a one way or else it continues Oh, I see The calves one, right? So yeah, yeah, yeah calves calves it's Philly or boston Yep. Mm-hmm. Look at me. I know some nba things. You do I know the warriors Where's a three in one? So, okay, you know, they either advance or they keep going W. Scott is one says I will pre-order one of those hats. I love me some hats. Thank you. That's awesome They are only going to be pre-orders for one more day. I think I think He's going to start getting them and start shipping them. I can't remember if he will order The the amount friday and then it'll take, you know, they'll have to come in and then he'll start shipping them But he's not waiting as long as he was planning Uh, because it was going to be may 17th before the shipping would happen But I think I think he thinks it might ship out before that so Yeah, the two weeks pre-order period, it's probably going to be lower It's probably going to be the last two weeks because we had so many people are interested in them, which is cool I'm glad y'all like them too. Now. We'll have to do the new logo And then Then well, it'll be like, you know, like the whole jersey craze, right? Where we have like the throwback Can we come up with a 20s there? Yeah, yeah Remember when DTNS was in brooklyn? It was all yeah DTNS all in one like a like the stl or the la. Yeah Back when they were the brooklyn monthly tech news show Dispatched by telegraph I already know MSG is in toxic. Why would you put that in there? Who are you? Well, I don't know if it's toxic people Some people have allergies to it to it. It's it's a natural recurring compound. You find it in mushrooms You know, I have to say, um I love mushrooms knowing that I love mushrooms too my goodness But I also knowing that I've eaten MSG at places where it wasn't MSG free I don't have a sensitivity to it.  Actually, this is not a bad thing Yeah, msg has never bothered me but anything that has too much sodium bothers me. Well, so that's very related I noticed Uh, I didn't notice I was uh, I'm trying to remember what I was reading but notifications are worse for you than msg That uh To get around some of the no msg some manufacturers just add a lot more salt to their products. Yeah I mean I I even though I like I have this place where I get my ramen regularly and Boy, do I love that ramen? But it's like it's clearly way over salted because the next morning I have like moon face You know, it's like I mean, I know exactly what i'm doing and i'm over salty Yeah, if you get joy or miso ramen, it may not be as bad It's all pretty salty But it's delicious and I know what i'm doing and i'm willing to deal and you're always in control You can stop when you want to Ramen anytime I order when I want and I don't when I don't you know, you drink enough water and it all kind of Works itself out but But that's not the same as like having a sensitivity.  Did you have ramen last night? I can quit anytime Oh Yeah, you know, it's true for certain foods some people have a hard time breaking away with especially if it's like chocolate or anything that Makes people somewhat happy if they're depressed Yeah Well, yeah, people addiction to sugar. That's a real thing for some people I cannot I used to love sugar now. I really have to head off the emails We're using addiction loosely here. We know we know actually addictive the way opium is We're just Yeah A ritual that you don't necessarily want to give up Yeah, exactly.  She's yeah I I have a secret plan is to bet only on the horses that will win Uh-huh I never thought about that. That's my system I always but I mean all kidding aside There was a horse track, um close to where I grew up and we you know, my dad and I would go every once About and obviously I was not able to legally bet but you know, I'd tell him but I thought the cool names were But that was really it was like whatever's like 20 to 1 or has like the weirdest name like that's the horse I want because It was fun, but it wasn't a great way to win I want is very into horses and you know every year we all kind of text each other during the kataki derby But she actually knows what's going on So be like she'll be like who you who you're rooting for it. I'll be like funny name Which should be like, okay. Yeah, like why? Yeah, like you're not even trying. He doesn't even bother That horse has the heaviest jockey of them all it's not going to go anywhere Yes, but his name is funny money 32 This is uh my ex-wife's third boat. I really hate those long Two clubs like there's names for race horses that are like just not like they're Not only ridiculous. They're just really long or hard to pronounce or it's like there was one that was like Uh, what was it something investment?  Yeah, exactly Okay, it probably has some significance, but like It's a bit of a tongue twister I was uh, I was for my boy jack during the kataki derby Because my sister's dog is named jack, which this year. She's like, all right fine. I'm gonna be for my boy jack too then I was for um audio book Because I like or i'm sorry What was it audio book? There's a horse named audio book. Yeah Oh audible. His name is audible. Oh, okay. I was for audible because I like audiobooks That was the one that got my sister like Mendelssohn is my second pick and in third place kindlea book I think sometimes they come up with the names just to trip up the announcer These these these were not tripled these the the names are you actually not that bad That's that's kind of a stereotype because occasionally there's a really long name super plough There was a speaking of last week tonight Which I was talking about in our good day internet preshow They had a a funny skit about All of the horses that didn't win the kentucky derby that had ridiculously long silly names I can't remember what any of the jokes were now, but it was very funny third-bytes alimony payment Something like that. I don't feel like there were any that were crazy long this year coming around the bed and third-bytes alimony You just just thinking of all the crazy things.  Is it I remember I went to one What's the one golden gate fields the one on the peninsula and they used to No, no the one on no the one that used to be in san mateo before they I think golden gate fields is in like between. Oh bay meadows. I'm thinking bay meadows. Oh, okay Yeah, yeah, I went to one. I won five bucks.  Is that two separate horses or one horse? That was one horse promises fulfilled And he finished 15th. So he must not have promised much Maybe he fulfilled his promise of coming in 15th. Yeah, exactly Yeah, there were not any crates.  What do you do with the horse if it doesn't win after a while? You just sell it out to stud Well, you don't want to stud a horse that doesn't win, right? Yeah, that might still have good, you know good bones. I don't know. I don't know anything about horses Yeah, what are you asking us for? Do we look like we grew up in a horse ranch? I actually grew up near horses. I'll ask my sister.  Oh, I didn't mention it because I was all excited about the hats But there's the meetup in australia Coming up for me. I will be in australia and that is May 15th in sydney at 6 p.m at hearts pub and may 22nd in melbourne at 6 p.m at bart ronica One or maybe both will have my sister so you can ask her all the horse questions Nice She probably would love that she probably or just you know, like what was little tom like? Oh, yeah. She'll tell us everything Love that. Mm-hmm. All right On that note, uh, we'll see y'all tomorrow with scott johnson. All right. Goodbye videos