Craft presents the Great Gilder Sleeve. Yeah. Cheese Company will also bring you the Craft Music Hall every Thursday night. Present each week at this time Harold Perry is the Great Gilder Sleeve, written by John Whedon and Sam Moore. We'll hear from the Great Gilder Sleeve in just a moment. What comes to mind when someone mentions a food you haven't tried? Well, I found that most folks want to know right off quick how good does it taste. We all eat the foods we like. And there are many fine foods you like a whole lot better when they're spread with delicious parquet margarine. That goes for bread, rolls, muffins, pancakes, and waffles. Or a wide variety of your favorite foods because parquet adds flavor that really satisfies. Like all the other fine foods made by Craft, parquet is top quality, has a flavor that's fresh and sweet, a flavor that's both delicate and appetizing, and is for good nutrition. Just listen to this. Parquet margarine is one of the best energy foods you can serve every day of the year, and each pound of parquet contains 9,000 units of important vitamin A. So for good nutrition and for delicious flavor that really satisfies, buy and serve parquet. That's P-A-R-K-A-Y. Parquet margarine made by Craft. Gilder Sleeve. Well, he's been working so hard at one thing and another that he's warned himself a day off, and he begins as usual with a substantial breakfast, nourishing his mind at the same time by perusing the summer field indicator. Not going to the office today, Uncle Moore? No, Marjorie. I've got all my bills out, everything's in apple pie order, so I'm taking a day off. I thought I might wind up the golf season at such a nice day. That's a good idea. Can I see the paper, Uncle Moore?  Well, it's working all right. I'd consider it, Bertie. I've got nothing else to do today. You mind taking down the screen? Screens? I don't feel very well, Bertie.  Well, that's different. Besides, I wasn't going to try very hard, just knock the old pill around the course. It's only about five miles. You're much too alert this morning, my dear. I just don't feel well enough to take down the screens. I've been feeling a little run down lately. You don't look run down, Mr. Gilder Sleeve. Well, you can't tell by appearances, Bertie. Here's something that might build you up. Schultz's Market has a special today on pot roast. Pot roast? Oh, we haven't had any pot roast in years. Well, here it is, 45 cents a pound. I'll go right down and get one before they're all gone. Mr. Gilder Sleeve, ain't you going to have the stress to take down them screens first? Bertie, if I don't get there fast, no pot roast. If I don't get the pot roast, no strength. Yeah. Besides, I need a haircut. My, my last week was too cold, week before it was too hot. This week is a hair cut. Yeah, but Bertie, look at my hair. I look like a violinist. I really ought to get started right away. Move it, Mrs. Ransom, all of a sudden. I've asked you not to slam the door, Leroy. And what are you talking about? She hasn't been over here at all since the Halloween party, Aunt. Did, um, something go sour? I'd rather not discuss it. What happened, my boy? Well, gosh, I was out in the yard just now practicing drop kicking, and she called me over and gave me a piece of cake. Oh, she did, eh? Well, if you want the cow, go after the calf. I didn't even want the cake so soon after breakfast, but I was polite, and I ate it. She asked me how you were. She'll be giving you ice cream before you know it. What is all this, anyhow, Aunt? She's trying to get back in my good book. That's all. Well, I better get on downtown. Say, Aunt. What is it, my boy? Can I go to the movies? Certainly, my boy. Huh? Here's 50 cents. Why not take some little friend with you?  Four or two pounds, even. That's, uh, 18 points and 86 cents. Wrap it up. Are you sure it's nice? Madam, I'll guarantee you'll enjoy it. Well, if you're sure it's nice? Absolutely. If it's not, you'll come back and tell me about it. 18 points, you said. And 86 cents. Oh, I keep forgetting the money. Ha-ha, don't they all? Hello. Who's next here? Oh, you, Mr. Goodersley? By George, I should think you'd go crazy waiting on these women. Well, you can't hurry them. How have you been, Mr. Schultz? Fine and dandy. What can I do for you this morning? How's Mrs. Schultz? Oh, she's fine. What can I do for you? And your mama? How's she? Coming along, I took her home a nice cut of top brown last night, and we played a little pinocchio after. I think she's gonna be all right. Great. What do you have, Mr. Goodersley? Well, I wonder if he could let me have a pot roast. I'd like a real nice one. Harry, we got any of those pot roasts left? Take a look while you're in there, will you? But you advertised a special on them. I know, Harry's gonna take a look. A real nice one, tell Harry. I beg your pardon. Could somebody wait on me, please? I'd like a nice pot roast. I'm having gas. I have to ask you to wait a minute, Mrs. Ransom. There's several ahead of you. Oh, Lila, I didn't see you here. Oh. I've forgiven you for what happened at the Halloween party. Forgiving me? Come on, Lila. Let's let bygones be bygones. Mr. Schultz, will it be very long? Oh, here, take my place, Lila. I'm in no rush. I am quite capable of waiting my turn in line. Thank you. I'll be in the grocery department, Mr. Schultz.  Teach me to be so forgiving. Oh, I think, Harry. Hey, Mr. Girl, let's leave. Is it real nice? I guarantee you'll enjoy it. Oh, six and a half pounds. That'll be $3.12 and 65 points. That's a lot of points. You sure it's nice? Well, I'm not personally acquainted with the steer it came off of, but it's the last one we got. And if you don't want it, Mrs. Ransom, they was looking for it. I'll take it. Of course, if you'd rather have something else. I'll take it. And I guarantee you, I'll enjoy it. You'll just leave and expecting you in here for several days. Yes, I'm a little overdue, Floyd. Say, if you've got a nice box, I can put this package in. Ice box? Now, what would a barbershop be doing with an ice box? Oh, I thought to make cold towels with and so on. Oh, that's just cold water. What's in the package? A pot roast, Floyd. That big thing is all pot roasts? Six and a half pounds, 65 points. It's a thing of beauty. Oh, wow. Who's under the towel? That's Judge Hooker. Oh, but no one was Hooker and never would have mentioned the pot roast. He's the dropping in kind, you know. Don't worry, Gilder Sleeve. I won't be dropping in tonight. Don't be dropping in tomorrow either. I'm hoping to enjoy this pot roast for a whole week. All right, all right. Have you got things squared with your lady thing yet, Gildy? That's none of your business. Yes. I just wondered if you and Leela had been playing sardines since Halloween. Never mind. Ever played sardines, Floyd? I don't know what you're talking about, Judge. Well, it's a kissing game and you play it with lights out. But if you get the wrong girl, it's terrible, isn't it, Gildy? Hooker, will you kindly refrain from addressing any further remarks to me or shall I come back from my haircut some other time? Well, Floyd needs the business and you need the haircut. Let's have the cold towel, Floyd. Okay, Judge. Be with you in just a minute, Mr. Gilda Sleeves. All right. Where can I put the pot roast for now, Floyd? Well, it was mine. I'd step across the street and put it in a safe deposit box. I haven't seen a pot roast since my cousin Earl was drafted. He was a butcher. Yes. I remember Earl. He had a four-ounce thumb. Say, um... Where'd you get that pot roast, Mr. Gilda Sleeves? Oh, man, Schultz. It was the last one he had. Oh, Schultz is a good man. Earl claimed he was the best lamb chop man he ever knew. Oh? But who are the dickens of a season he lamb chops nowadays? Well, we've got to get along without some things. I know, but the way the government's handling this food situation will all be eating grass before long. I don't think it's as bad as that, Floyd. What do you know about the government's food policy anyway? I told you, my cousin was a butcher. He's been in the army for a year and a half. He's been eating pretty well, isn't he? I must be getting his share. His wife told me he put on 14 pounds. All right. Seven or eight million men in the services besides your cousin, Earl. Now, Mr. Gilda Sleeves, don't get me wrong. I'm not begrudging anything to the boys. But what I want to know is, why do we have to feed every Tom, Dick, and Harry, and Timbuktu when I don't know where else? Floyd, who's been filling you with enemy propaganda? Don't be calling me a Nazi, Mr. Gilda Sleeves. I did my bit in the last war. All the more reason you should know better. Do you begrudge the food we send to England? No. I should hope not. The English people get one egg every three months. Yes. And how about the Russians? You want their army to slow up for lack of food? No. But what? Why do we have to feed them people in Timbuktu?  Now, Mr. Gilda Sleeves, I think that's going a little far. Floyd, it pains me to have to agree with Mr. Gilda Sleeves, but in this instance, I do. Yes. And it might interest you to know, Floyd, there's plenty of food for everybody in this country. Easy enough for you to talk. You've got a pot road. That's got nothing to do with it. The fact is, we're getting as much food as we got five years ago. Of course, Collar. Floyd, the man's right. I saw a government report yesterday. It says the same thing. Well, it don't sound right to me. Well, it is right. With the victory gardens and all, there's enough food for every man, woman, and child in this country. But that doesn't mean we can eat 10-course dinners every night, or waste a lot of good food we could just as well save for another meal. Well, now, there's no cause to get excited, Mr. Gilda Sleeves. There is, too. Rummy's like you complaining while we're still the best fed people in the world. That's the kind of squawking that keeps black markets open. Now, cut it out, Floyd. Gilda Sleeves, you're absolutely right. I know I'm right, Hooker. Thanks, anyway. Don't thank me. I just know the truth when I hear it. That's all. Oh? Oh.  Why don't you drop in and have supper with us tonight? Why, I'd love to, Gilda, but I've accepted a dinner invitation for this evening from Leela Ransom. What?  Can't help that, Gilda. She's back in circulation now. What? You're right.  My Gilda Sleeve will be with us again in just a few seconds. Naturally, all good cooks like a little praise now and then. And I found that a sure way to win the heartfelt appreciation of any cook is to clean your plate at every meal. You'll be pleasing Uncle Sam, too, every time you clean your plate, because by eating every last bite, you help prevent waste, help to make food fight for freedom. Of course, to avoid waste, it's mighty important that you serve foods in tempting, appetizing ways. So here's a wartimely suggestion. When you serve such hearty, sustaining foods as bread, rolls, or muffins, serve them with delicious parquet margarine. Ha-ha, yes, ma'am. When such grand foods as bread and muffins, pancakes, and waffles, too, are spread with parquet margarine, they're downright good-eating. Parquet's flavor adds to your enjoyment of many fine foods, because parquet's flavor is both delicate and satisfying. Parquet margarine is a grand energy food, too, and every single pound contains 9,000 units of important vitamin A. So tomorrow, ask for delicious, nourishing parquet. P-A-R-K-A-Y. Parquet margarine made by craft. Where do we find the great Gilder Sleeve? Well, he couldn't put it off forever. He's up a ladder trying to pry loose the screens from the second-story windows. But let's leave him there for a moment as it goes on in the kitchen. On the kitchen table sits the light of Gilder Sleeve's life, his pot roast, all trussed up and ready for the fire. It's a truly majestic roast, a prime cut if there ever was one, and Bertie sings as she slices up tender little carrots to go with it. Little carrots, giddy in the pot. Little carrots, giddy in the pot. Little carrots, there's Ruba. Something smells wonderful, Bertie. I declare you're the best cook. Yes, ma'am. One of these days I'm going to steal you for myself. You won't be the first to try it. If you love me, Mr. Gilder Sleeve is out front. I know, I saw him. You want me to call him? Oh, no, no, don't. I don't want to disturb him. I came around the back way on purpose, so I wouldn't. I'll tell you, Bertie, you see, I'm having company for dinner tonight, and I was counting on a roast. Oh. But, um, by the time I got to the butcher shop, there just wasn't a fling left. Well, Miss Ransom, I don't know if... Well, I told Mr. Gilder Sleeve I couldn't think of letting him offer me his roast, but you know how he is. Yes, I know. So I thought as long as he isn't having company, and as long as he practically insisted, I'll just owe him a roast. Oh, my, it's a gorgeous one, isn't it? Yeah, well, I think maybe I ought to ask. Oh, I know he won't mind. I'll just borrow the pot, too, if it's all right. Take the pot, take the roast, take the whole thing. See, show him thank you for me, Bertie. I don't know if he's going to thank me. Now what am I going to do? Spend a whole day fixing a nice dinner. In comes the widow, and out goes the roast. That man, he'd give way his soul if the devil asked him nice. Be five full fun. I smell pot roast, yum, yum, yum. I don't know what you smell, Mr. Gilder Sleeve, but it ain't pot roast. Well, get it ready, Bertie. Get it on the fire. I'm as hungry as a bear. Mr. Gilder Sleeve, didn't Miss Ransom speak to you? To tell you the truth, Bertie, she seems to be making a point of not speaking to me. Uh-oh. But that's all right. I'm not speaking to her. Why, Bertie? Why do you ask? Oh, nothing, Mr. Gilder Sleeve, only, well, uh, there's been a miscalculation somewhere. Uh-huh. What do you mind? How's the movie, Leroy? Super. Slew to the Marines, Wallace Berry. It's about this old sergeant, that's Wallace Berry.  So he... Leroy, get out that pot! Mr. Ransom, well... That's fine. Now go and call your uncle and tell him dinner's ready, such as it is. Hey! That's no way. Go and tell him nice. This is one time we got to bring it to him gently. Okay. You don't need to scream, Leroy. I hear you quite perfectly. Oh, I didn't see you, uncle. Dinner. Thanks. How was the movie? Super. Everything is perfect, except Wallace Berry dies in the end. He's his old Marines. Suppose you tell me about it later, Leroy. Where's your sister? Up in a room. Marjorie! What's the matter with her? Don't ask me. Probably Wally Ha stood her up or something. Oh, I'll have to talk to her. You go sit down, young man. Oh, Marjorie! Won't answer, huh? Marjorie! Dinner's ready, my dear. I don't think I care for anything. Well, you got to have dinner. You can't just lie there. What's wrong, honey? Nothing. Come on. Tell your old uncle. What's wrong? Nothing. I don't think that's anything to be so sad about. You wouldn't understand. Why not? Because... Well, there are lots of things. What? There's, uh... We're having pot roast for dinner. Pot roast? All you ever think about is eating. No, listen here, young lady. I want no more of this nonsense. I want to know what this is all about. Is it that Wally Ha? Hang on! Hurry up! Is it? Oh, why will nobody let me alone? Answer me. Is it? I thought so.  And he didn't. That was three days ago. Now, now. Maybe he just forgot. Why don't you call him up?  Well, I'm glad to hear you say it. I never did have any use for that loper. The less you see of him, the better. Why, I... Don't you say anything against Wally Ha? But, my dear, I thought... Let me alone! But you said yourself...  Women I give up. Come on. What in the world are you talking about? Oh, yes. Tell me about it some other time. I kept you soup hot for you, Mr. Guilty. Oh, thank you, Verdi. Marjorie ain't coming to dinner? No, I guess Leroy and I'll have to take care of that pot roast by ourselves, Verdi. But don't worry, we'll do justice to it. Won't we, Leroy? Yeah. Mr. Guilty, let's face it. There ain't no pot roast. Verdi! No pot roast? I know I should have told you before, but I didn't have the heart not to mention the courage. But, Verdi, I bought it myself. I brought it home with my own hands. What's happened to it? Well, Ms. Ransom took it out of here with her own hands. Mrs. Ransom? Yes, sir. Why in the world did you let her do that? Well, she said she was having company for dinner, and she let all like you wanted her to have the roast. I didn't know what to do, and I figured she was your lady friend. She's no friend of mine, Verdi, and no lady either. Don't repeat that, Leroy. And her so-called company is none other than Judge Hooker. Why, that old goat, he's sitting over there right now eating my pot roast. That's women for you. I've stood for a lot, but I won't stand for this. You're going over there, honk? Well, I'm going someplace.  Poor Mr. Gillespie.  So anyway, along come the jabs. But Wallace Berry is ready for them. I'm Wallace Berry. Give me a cigar. I thought you wanted to hear you, won't you? Anything. I'm so darn mad.  Well, I wouldn't say that. It's a fact, and that goes for all of them. I'm through with women completely and permanently. Again? Yes. I mean it, Peabee. You inquire around, and you'll find that women are responsible for nine-tenths of all the trouble in this world. Interesting idea, Mr. Gillespie. Would you care to enlarge on it? In the first place, Peabee, women are tricky. Well, now that you mention it. I'll go farther than that. They're sneaky. Well, if you have to remember, Mr. Gillespie, there are women and there are women. Yes, and those are just the ones I'm talking about.   Oh. I take it there's been some trouble over a pot roast. Pot roast, rib roast, that's not the point. It's the principle of the thing. Mr. Gillespie, did you ever try a chuck roast?  Peabee, I'm talking about women, not cuts of beef. No, no, I'm sorry. What was I saying when I was interrupted? Oh, saying that a man is a fool if he puts his trust in the woman. Well, no, I wouldn't say that. Mrs. Peabee, and I, we manage to... Yeah, I know, I know. Mrs. Peabee is an exception to all the rules. Well, I wouldn't say that either. I'm not talking about any one woman. I'm talking about women in general. Now, you take Marjorie, a nice girl. You wouldn't want a nicer one, but completely unreasonable. I tell you, Peabee, you can't even talk to him. It's a fact. You cannot have a reasonable discussion with a woman. Well? Well, I'm just trying to think if I never had one. That's one thing I like about Miss Goodwood. You can talk to her. Well, there you are. Miss Goodwood has a woman. All right, it so happens she's a woman. But she has a mind more like a man's. We're not talking about women anyway. Oh, when did we switch? Speaking of Miss Goodwood, I wonder, what time have you got, Peabee? Seven forty-five. I ought to take her something, though, if I do. Peabee, I'd like a box of chocolates. Oh, I'm sorry, Mr. Gouldersleeve. We haven't been able to talk to her. I'm sorry, Mr. Gouldersleeve. We haven't been able to get any chocolate for some months now. Or, you know... Oh. Well, what else can you suggest? This is for Miss Goodwood, I take it. You know darn well it is. Well, if what you say about the lady is true. What did I say about her? You said she has the mind of a man. That's right. What about it? Well, how about a nice box of cigars?   Brock Morton, I know you enjoy symphony concerts, don't you? Oh, yes, the symphony is wonderful. Bach, Beethoven, Brahms, they're all great-y. Toscanini, too. Toscanini is one of the finest conductors alive today, according to Time magazine. Yeah, they had that in Newsweek, too. I read somewhere the other day a list of the ten greatest conductors of all time, and Toscanini was ranked third. Only third? I'd like to know who's anybody conductor than Toscanini. I can't remember. Probably some great conductor of the past. Well, they're dead. You'd have a hard time proving they were better than Toscanini. Nespa? We miss you. We miss you. By George, it's a pleasure to talk to a woman like you, Eve. A woman that's been around. A woman that reads occasionally. Thank you. Oh, I've been meaning to ask you. I've changed my pictures around, and I want you to tell me which way is better. Well, now let's see. You remember, I used to have the Grant Wood picture here over the mantle, and the Cezanne still life there opposite the window. Do you think they're better the way I have them now? Oh, they look great. That Grant Wood picture certainly looks like a farm. It's beautiful. I read in some papers that Grant Wood was one of the ten best American painters. Did you read that? I think it was in life. Do you want me to put the pictures back where they were before, so you can tell which way is better? Or can you visualize them? Oh, I can visualize them. Don't move them. They're perfect just the way they are.  I like them better this way. But it's nice to have a man decide things. Oh. Tell me throughout, Morton, who is your favorite painter? My favorite painter? Well, now there's an awful lot of painters. Another of my beloved authors is Dickens. Do you like Dickens? Dickens is great. One of my favorites. Which do you prefer? David Copperfield or the Old Curiosity Shot? Well, both very well written. Masterpieces. But I think I like David Copperfield better. Mr. McCorber is such a rich character. Oh, yes. He had plenty of money, all right. Money? Oh, I'm afraid you've got Mr. McCorber mixed up with someone else. Oh, of course. Money. I was thinking of Mr. Scrooge. In the Christmas Carol. Oh, I'm afraid you haven't reread David Copperfield very recently, Dr. Morton. Well, no, I skipped it this year. Uh, it's a beautiful dress you're wearing, Eve. I'm awfully glad you like it. Uh, are you fond of symphonies? Oh, I asked you that, didn't I? How about operas? Well, I've never been to one, but I love opera music, don't you? Oh, I sure do. I suppose you've been to the opera, haven't you? No, no, I've seen them in the movies, of course. Well, I'm sure that's not the same. But sometimes one hears a lovely aria on the radio. The idea is wonderful, don't you think? Great. One of my favorites. La, la, la, la, la, la, la, la. Solomio, yeah. Of course, once in a while I like a nice musical comedy. You know, if it's well presented. Or an operetta. I heard John Charles Thomas once in a beautiful operetta. Oh, he's great. See, Eve, did you ever hear the story about the fellow that said he was fond of operettas, and the other fellow said, what kind of operettas do you like, and he said telephone operettas. I like a good story once in a while. Well, you know, you've got a nice laugh, Eve. Sounds nice. Looks pretty, too. I hope you mean that. Oh, I do. You look nice when you smile, too. I'll try to smile often for you. You will? Eve? Yes? The political situation is very interesting. Oh, I suppose so. Yes, mighty interesting. At least, well, there's going to be an election next year. I know, but I'll be holding the primaries very soon. The primaries are very important for you. Eve, I want you to know how much I'm enjoying our conversation. Most women don't care much for discussing politics and things like that. No, I suppose not. But you're different. You think like a man. Oh, but I'm not a man, Throckmorton. No, you're not. By George, you certainly aren't. Eve? What is it? Would you like to be kissed? Yes, but I thought you'd never get around to it. Yeah. Say, this is better than pot roast any day. Ladies and gentlemen, I'm afraid I lost my temper a little this morning, talking to Floyd and the barbershop. But the whole question of food is terribly important. Food is one of the most important weapons in this war. It's becoming more important all the time. Right now, only a tiny percentage of our food, less than 1%, is going to the people our fighting men have liberated from the enemy. But as time goes on, more food will be needed for this purpose. We should be glad to give it, because food is a powerful psychological weapon for encouraging resistance among the people who have starved so long under the Nazis. The food we provide to the liberated peoples helps them to become self-supporting again, and to fight on our side, and at the same time, it holds out hope to those behind the enemy lines. These two factors can save thousands of lives of our own soldiers and sailors. So let's produce all we can, conserve all we can, go easy on the scarce items, and keep the rules. There'll be plenty of food for all of us, and the war will be over sooner. Good night, ladies and gentlemen. On this program was directed by Claude Sleek. This is Ken Coffin, speaking for the Caves Cheese Company, inviting you to listen again next week for the further adventures of the Great Yielders League. Welcome Ken to you from Hollywood.


Daily Tech News show is made possible by you, the listener. Thanks to you, Matt Zaglin, Kelly Cook, Scott Hepburn, and brand new patron, Ernesto. Everybody welcome Ernesto. Welcome Ernesto. On this episode of DTNS, Andrew Maine explains why thinking about AI in movies and TV shows may be thinking too small. Plus, Canva is taken on Adobe, and why chatbots may not replace search engines. This is the Daily Tech News for Tuesday, March 26, 2024 in Los Angeles. I'm Tom Merritt. And from Studio Redwood adjacent, I'm Sarah Lane. I'm the show's producer, Roger Chang. And joining us, founder of interdimensional former open AI science communicator and author of Dark Dive, a thriller. Andrew Maine, welcome back. Hey, thanks for having me back. Thanks for being here. We're going to have a really good conversation about what's going on with open AI and the video generation and some ideas that you probably haven't heard a lot of other folks talk about. So stick around for that. Also notable, Apple announced WWDC, and thus its AI strategy update will kick off Monday, June 10. And now, the rest of the quick hits. Later this year, Sony will add a community game help feature that lets PS5 players upload gameplay to help developers make hint videos. If you opt in, the feature will automatically capture game clips when you complete certain activities. Moderators will review those and then publish them as a game help hint for other PlayStation players to watch. The published version will not have audio from your Mic or webcam. You can remove the clips if you want. Community game help will also come to select games later this year. Microsoft's do a little shuffle at the top. If you recall, they recently created a new AI division and put Mustapha Salaman in charge of it. Mustapha Salaman just left Inflection AI, along with a lot of the staff, to come to Microsoft. And Salaman also is famous for being one of the co-founders of DeepMind, now run by Google. Mikhail Parakin has been in charge of co-pilot Bing and Edge pretty much all of Microsoft's consumer AI efforts for a while now and was going to have to report to Salaman. But apparently, he did not want to. Instead, Parakin has stepped aside from his AI role and will now report to CTO Kevin Scott temporarily while he explores new roles. Probably outside Microsoft. Maybe in a community theater, I have no idea. It appears co-pilot Bing and Edge will stay under Salaman's new AI division as part of the web experiences team. Meanwhile, what you're going to see in all the headlines is the announcement that Pavan Dhavaluri, previously responsible for the Windows and Surface teams, will now head a combined version of those teams called Experiences and Devices. Google will release a new native version of its Chrome browser for Windows on ARM this week. Users of Windows on ARM machines could use the X64 version of Chrome in an emulated state previously, but it had slower performance. The announcement comes in advance of the launch of Qualcomm's Snapdragon X Elite chip expected this summer. The chip will feature in multiple power-efficient ARM-based Windows machines. Speaking of ARM, they are joining up with Intel, Google, Qualcomm, Samsung, and a few other companies to found something called the Unified Acceleration Foundation, or UXL, in order to create an open-source software suite for AI development. UXL launches with Intel's One API, an open standard that does not tie coding tools to specific architecture, specifically NVIDIA's CUDA platform. That architecture is powerful, but it's also scarce due to demand, and it's only available from NVIDIA. UXL says it will focus at first on open options for apps and will eventually support NVIDIA hardware and code. Of course, NVIDIA is not part of UXL, at least not now. Neither is Microsoft or AMD, and they are rumored to be developing their own alternative to NVIDIA. Instagram and threads have introduced a setting that lets you opt in to receive more political content if you so desire. The algorithms on both platforms limit political content recommendations from accounts that you don't follow. In content preferences, you'll now find a new setting called limit political content from people you don't follow checked by default. You can uncheck it, of course. You can get more politics in your feed if you want. Adam Masseri, who runs both of these platforms said in the past, we want to do this by design, but sounds like they realize people have different wishes, especially in an election year. Meta defines political content as posts about governments, elections, and social topics. All right. Let's talk search engines. David Pierce has an article on The Verge called Here's Why AI Search Engines Really Can't Kill Google, and he took it upon himself to compare traditional search results from the likes of Google and Bing to AI-focused search engines like u.com and Perplexity, as well as Microsoft's Copilot. He broke down the comparison into what are considered by search engine professionals to be the three common types of queries. It's a great article. I think I would recommend everybody read it. We'll have a link in our show notes. But I thought for today, we could walk through those three types of queries, talk about what David said he found, and then what we think of his findings. The first one is navigation. This is the idea that you type in the name of the website you want to visit in the search engine, and then you go there. This is why Facebook is often, or facebook.com even is often the number one search term because people do that very literally sometimes. And not a surprise, Andrew, that AI wasn't as good at that as a search engine, right? Yeah, I mean, when you want to use a directory, use a directory. Yeah, and that's the one thing that I think search is going to continue to be advantageous at because it's simple. That's what search has been defined at. The second one is information. So things like, what time is it? What's the weather? Give me some sports scores. The results varied here. Google and co-pilot were both pretty good. So you had a search engine and an AI devoted engine that were both pretty good at this. Google did have the edge according to David Pierce by providing you a little more context. Things like stat boxes, knowing your location, et cetera. Those made the results more relevant, especially for things like weather. More evergreen information though, like how many weeks are there in a year was handled well by all of them? And very precise information was handled by the AI tools the best. Things like how do you do a screenshot on a Mac? Or what's the proper ratio of coffee grounds to water? Andrew, what do you make of these? This seems obvious as well, right? Yeah, I think that it's very early days as far as AI and search. And the example I gave where if you just want to know how to get to Google and Google.com, do you need a big LLM language model to do that? But I think the problem with search is that we've been conditioned through 20 years of Google search to think about search in a very narrow way. I just put a thing in there, my favorite demonstration to show you the limitations of traditional search is if you Google how many emancipated miners are there in the United States, you get a wildly wrong answer. And it's been like that for years. It's one of millions that are wrong because all Google does is says, hey, this is the most popular answer to the question. I don't know if it's right or wrong, but if nobody else has bothered to ask it, so there's no critical thinking that comes into play. And models have their disadvantages of this hallucination and stuff, but AI search has gotten progressively better over the last 12 months. And I think a year from now, it's going to be fantastically better, but traditional Google search, I don't know. And this answer, by the way too, if you use Google search, they'll get this answer from the web, then they'll feed it into their LLM and it'll give you the same answer, but no, they're not 20 million emancipated miners in the United States. Yeah, that would be a lot of emancipated miners. I think the information thing is interesting because something like what time is it is, I don't know. I mean, I ask my Amazon assistant that all the time. I don't know if my Apple watch isn't handy, but for that to kind of trip up the system, but something more evergreen, like how many weeks are in a year, it gets it right more of the time. It's kind of like, okay, do we, it almost goes back to the conversation about having an awake word. So it's like, let me tell you kind of how I want you to respond. It's this kind of question ahead of time. And that's where it's interesting to me that AI feels like it has a long way to go to get results that, like you said, Andrew, we're so used to getting by doing something very simple, but in a kind of non-human way for the query. Yeah, I mean, it's a good point about knowing what you mean. And that's the problem LLM struggle because when you ask how many weeks are in a year, do you want just 52 or do you want a precise answer? Because there's not exactly 52 weeks in a year because of the way the earth moves around the sun, et cetera. And models will struggle to be like, okay, well, did we talk about a leap year? Cause there's leap year, then we got another day, but also we're talking about like, we add a few seconds every year. So that's where models will sometimes give you these answers that feel like, is that off? Or is it just struggling to understand what I mean? And the more they know about us and how we want to answer, that's, you know, one of the features open that I put in for chat GPT is you can give it some background. I like these kinds of answers. I like this and like that. And then over time, all these models are going to be doing that. If you want to. I feel like the advantages that Pierce found for search are temporary advantages, things like knowing your location and context. Those are things that, that your chatbot could easily have access to if you want them to, right? Yeah, a big update had been adding the use of tools, which, you know, chat GPT, well, if you ask it a mathematical question now, it'll just create a Python calculation to answer that instead of using the LLM to do it.  And I think we're going to just see way more of that where the model just says, oh, well, let me just use a tool.  Yeah. The final, the third of the three common types of queries and the least common type of query is exploration. Those are questions that don't have a single answer. So Pierce used why were chainsaws invented as an example or what is TikTok? He found that perplexity and u.com handled these very well with concise answers and citations for further exploration. It does seem like this is where LLMs shine the most, right? Yeah, I think that's getting into a lot of the reason we use an LLM, we use it, use search to say, tell me where I can find that information. You can use LLMs to say, bring that information to me. And that's a very different, and we're still learning to think that way. You know, my wife spends, you know, we'll spend a long time just going back and forth, having conversations about putting together meal plans and recipes and diets and stuff because it goes back and forth. And traditional search doesn't do that unless somebody wrote that blog post you're looking for. So I think the more we think about, oh, I can use it this way, the more capable it becomes. Yeah. And it's interesting. I thought of search engines in the 90s as find a website for me, right? I need a website that talks about this. And search engines are still the best at that and those are still the most common types of queries. But over the years, the search engines, I think, have tried to pitch themselves as we can answer any question. And that's not a thing search engines are all that good at on their own. And end chat bots and LLMs are better at that. Hotspot, give me some phantom in a spoilers. I remember it well. Hotwired, what was it? What was hotwired? Yeah, yeah, that's right. Yeah. Online design company Canva has agreed to acquire professional design software company Affinity. This gives Canva an online service with 175 million users and native apps for Windows users, Mac users and people who like Macs but also have iPads. Prices also are undercutting Adobe suite of products at least for now when you're comparing them side by side. Affinity Photo, Affinity Designer and Affinity Publisher can be sold in a bundle but it can also be sold individually. Not a subscription model though. It's a one time fee which obviously makes it pretty different than how Adobe does stuff. Andrew, I don't know if you use either Canva or Affinity products or both but what are your thoughts on this merge? Well, one, I wonder if they timed this till after Adobe got denied the ability to acquire Figma. You have to wonder if that would have been looking upon a different light for this. Canva certainly made a place for itself with a lot of different sort of tools to use. I find it sometimes I feel like it feels like it's about 15 years out of date. So I certainly think buying a platform that's available in all these different ecosystems is I think a very good idea. And I wonder if they are gonna shift to a subscription model. That seems to be like that might be where they wanna go to is they wanna get you to continue to justify paying a monthly fee and I wouldn't surprise me if that's what happens to Affinity. Yeah, I mean so if you do all Affinity products together, not annually, see, I'm doing it again. $115 for the three, each are otherwise sold for $49 a piece. Canva does have subscription plans though. So maybe the company sort of is able to say, we'll do it all depending on what you're looking for. Maybe Affinity, one-time prices go away. I think they're gonna fold it in. And I remember I was skeptical when Adobe went to the subscription model.  But a model like I said, as long as Adobe keeps improving it by adding features, which they've done that, like year after year, it is a much better product. So I think that's what Canva's up against is the idea of like if you wanna have that sort of suite, give them a bunch of tools, get people in and then I don't question every year when I pay my Adobe subscription. I look at Canva and some of these things feel like I had my publisher sent something doing Canva and I got so angry, I wrote something that was better in like 40 minutes using chat GPT because it was just so frustrating how backwards it was. So I think it's a good move for Canva. Yeah, Canva has got a very popular online service and Affinity has very beloved offline versions of competitors to Adobe together. It makes sense on paper that they're a credible competitor to Adobe, but like y'all are saying, the proof is in what they do and it seems too obvious for Canva not to include versions of Affinity Photo Designer and publisher in a subscription which is gonna turn Affinity fans off. Canva will go bend over backwards to say we're not gonna get rid of the offline versions or the solo versions or the bundled versions and the universal licenses will stay but people will be very skeptical of that and they're gonna face backlash just against the idea of including it in a Canva subscription, which they're, I think you're right, they're gonna do, they're gonna have to do that's just part of what Canva does. I'm with you, Andrew. When Adobe first announced, you know, Creative Cloud, I was like, this is great. I'm gonna end up paying so much more over time which is actually true, but it's a better service for me. I can also bounce out for a couple of months if I'm like, you know, I'm really just not gonna need Photoshop right now but I'm going to, you know, when I pick up a new project on the road type thing it works better for me. The whole sort of pay once and be done with it which kind of sounds familiar to the conversation, Tom, you were having with Trisha Hershberger on the show yesterday, it's like, same thing with games.  I don't think there's a right or wrong answer here but I am interested to see if Canva sort of says like, hey, we're gonna keep everything as it is with affinity because you know they're gonna upset people if they change things right away or, you know, do they change things down the road or do they leave as is? Yeah, I think it's good to see a competitor to Adobe in place too, yeah. I agree. I think Adobe has got such a war chest to spin on things like AI and everything else like that. And yeah, I think that, I think this is probably the most strategic move they can do. Yeah, folks, if you have ideas of what you would like us to hear about on the show one way to let us know is our subreddit. We look at it every day for ideas and they are included in the show. Submit your stories and vote on them.  Last Friday, we talked about Bloomberg's report that open AI executives met with content studios, media executives, talent agencies, Sam Altman got to go to some Oscar parties and supposedly they were discussing ways studios could use open AI's tools. Makes perfect sense. Since then, select artists have apparently been given early access to open AI's text to video tool called Sora and open AI has been showing some examples of their work on its blog. There's a video called Airhead, which tells the story of a person with a balloon for a head. And of course the balloon is AI generated, we assume. The golden record is a fanciful journey into the creation of the golden record that Nessa affixed to the Voyager probe. Showing things that you can't show because there's no camera out there with Voyager. And beyond reality is a faux documentary about hybrid wildlife. If you like some crypto zoology, you might wanna check that one out. Andrew, the obvious thing to talk about with the generative video is Hollywood and TV production. But I know you think there's a bigger use for the technology as something called world simulators. Explain a little bit about what that means and how that differs from what we're talking about here. Yeah, I mean, the purpose of Sora wasn't just to say, hey, wouldn't it be cool if we could do video too? The purpose of Sora, and if you get into highly advised people take a look at, there's the blog post, and then there's the technical report which goes a little bit deeper into. When you wanna build an AI, remember, open eyes goal is to build artificial general intelligence, like super intelligent systems, which means they need to understand how the world works. And you can learn a lot through text, but you need to learn through other things, mathematics and being able to run code. Here the goal is, can you build a thing that's basically a physics simulator? Can you have a system that can all of a sudden understand if I drop a ball, what happens, et cetera? So that's really think about Sora as the way it's simulating the world to make predictions and try to understand and then learn from it. That also happens to be a really cool tool for making videos, but think of it really, how do you get to AGI? Just like you have a sense inside your head, if you can predict and you can create models of how things will turn out, that's what Sora can do. So this is different than a large language model. I think that's important to understand, right? Yeah, the way to think about it is, when you train a language model, what it is, it is part of it, like you can train them together. So when you train a language model, you take your words and you convert them into tokens. Basically the might be just like four numbers, right? A bigger word, a word like merit, might be two tokens grouped together, but you turn your words into mathematical numbers, just in the numbers, right? And then you predict those sequence of numbers. When you wanna build an image generator, you do the same thing, you take a photo and you tokenize it, you break it down into tokens and then you put that as a sequence and you say, okay, here's maybe the first half of the image, predict what the rest of the image looks like, or here's a label that said, dog sitting on birthday cake, what should those image tokens look like? So it's the same thing. And what they did with Sora is they take basically sequences of images and they break them down in each image into basically like these quadrants that call them space time regions. And so the model tries to predict, each quadrant tries to break what another, or each section tries to break what another section is going to do. And then what they're going to do over time. And that was kind of the big breakthrough here, rather than trying to predict frame to frame, each little section of that image of each still is trying to predict some other part and then going across time. And the example we're looking at here is great because it shows you when you increase the amount of compute and how much more accurate it gets and ability to predict that. Right, cause if you're listening to audio, it's off of the blog. They show like, it used to be the dog would sort of grow three heads while I was doing video. And then over time it got to look more like a dog running around, right? But it's still doing the similar thing to the LLM in that it is predicting what the next piece of data should be. And it is trained, like literally it is trained. You just give image tokens or video tokens and you sort of you put them in. So these like chat GPT with vision which is the version that understands photos is a LLM that's also said, hey, these are now image tokens predict what these do. And so it is, these are, they're called multimodal models because you can just give them whatever kinds of tokens you want and you explain what they are. It's pretty fascinating to think that that can then turn into predicting physics because it's not designed to predict physics. It's just something you can make it do. But you can do that with a language model though. Of a language model, if I give it enough examples and I say, what happens if I drop an egg? It'll say, it falls, you know, it will learn, it seems over time. Yeah, it, you know, it's, and our understanding of physics, remember is an abstract representation. You know, we just, we have a story or a narrative that allows us to make predictions about something and that's the same thing LLMs are doing. So what do you think a world simulator can do that we're not thinking about when we think, because most people think, oh, it's going to create a movie. Like what else should we be thinking about? I have an article coming out and one of the examples I use and a little bit lengthy, but I apologize but it's worth that I promise you. If we showed the camera, the first photograph was taken of people, like 1838. You know, two people were, one guy's getting his shoes shined, the camera happened to capture it. You had to leave the exposure open for so long but they managed to get people on a photo, there was DeGurre. And if you talk to somebody at that time, like, hey, you've talked to an artist, you say, hey, look, I took this photo of people. They might start to panic. Well, first they'd be like, ah, they're blurs, who cares? Well, a year later, look, they're very clear. They might be panicking going, what's going to happen to an artist? You know, in 1838, looking at a camera, you might be terrified but try to explain motion pictures to that person. Try to explain the film industry. Imagine trying to explain in 1838, somebody like James Cameron, who had a budget bigger than the entire United States defense budget in 1838 and not adjusted dollars, making a movie with a crew of people bigger than half the size of the United States standing army with a box office return that was greater than the entire GNP of the United States in 1838. That is, again, unadjusted dollars but the point is, that's insane. And that would be, you would be like, you sound like a lunatic. Why will our future be any different? In fact, we're accelerating. Things are moving faster. So that's hard for us to understand. And I try to avoid normally, like just getting into the realm of what it will be like in 20 years. And I think, you know, like Tom, like a lot of people hear like, you know, I've read books on futurism and all this sort of stuff. And the one thing I've learned is, we're really bad. I mean, the best estimates I find are often going much, much further back when people weren't biased by our sense of the present today. So what it'll be like, I don't know. But look at that 1838 example. Yeah, so in other words, we won't know until we get this tool and start playing around with it what we could do that we never thought we could do before.  Try to explain to that person that would sound just surreal to them. And then somebody else would be like, well, the amount of compute you would need for that would be impossible. You wouldn't be able to do that. You're like, for a game. Like, well, guess what, you know.   And this is like a tech person, like myself. Like five years ago, I'd be like, what?  It can't be done otherwise. And now we're getting into, you know, we're talking about like, well, it's really good at physics. And if you want the physics to work weirdly, then, you know, you have to do extra prompts. So it's this, it reminds me really of search. It's like, okay, well, that search result wasn't what I wanted. Okay, let me get more creative.  Well, Sarah, you know, one of the things we did, I was at OpenAI when we released Dolly. And the first thing we did is we went out to artists and gave them access. Now at the time, I started OpenAI as a prompt engineer. And I would be the prompt whisper internally when like, how do we get this thing to do the thing? I felt really good about my prompting skills. And so when I played with Dolly, I could do some cool stuff. Then we gave it to artists. Once they got it, just totally blew away anything I could do. And I realized, oh, wow. You know, when you put these tools in the hands of people who understand art, not just how to hold a paintbrush or what tool to use in Photoshop, but really understand what it means to create something, they excel. And I find that people who are incredibly talented artists thrive when you give them new tools. People who are more mediocre tend to be frightened. And I think we're gonna see this with Sora. We're gonna see exceptionally talented people just blow us away using the same tools that you or I might have access to. Yeah. Because they know the vocabulary better than we do because they work with it every day. So they have run up against those limits of what you can do with the current tools. And I think they see a little farther on where it could go. Yeah. I remember in art class being amazed when a teacher said, you know, air is not invisible. And I never thought about that. And I'm like, what? Yeah, yeah. That's a great example of like the sort of thing that you don't think about if you haven't studied it.  We got a good one from Lee who writes in, I was in Phoenix in February. It made it a point to ride in a Waymo while I was there. Took two trips at night and the Waymo drove better than I would have. Yes, it was cautious, but not overly cautious. It has time to pull out after a stop sign. It would, as long as the car in the lane in front was at a safe distance and safe speed. It slowed for every speed bump, handled around about fine, watching the monitor was comforting to see it picking up every car and pedestrian in the area like many big cities. Lee says, Phoenix has a homeless problem. The Waymo picked up people sitting 20 or so feet from the road that I hadn't noticed. I had a great experience on both of my rides. I think of driverless tech as a teenage driver who will learn from every mistake and teach every other teenager that learned to lesson. After riding a Waymo, I look forward to having level four or five autonomy for the average consumer. Lee also says, I will be in Austin for Brian's eclipse party, looking forward to meeting Tom or anybody else that might also be attending. Oh yeah, if you haven't checked that out, the Founders' Day eclipse party at Brian Brushwood's place in Austin has happened in April 8th. I will look forward to saying hi to you when we're there, Lee, thanks for writing in. And you know what, Allison Sheridan also described her trip in a Waymo in Phoenix as a teenage driver. So I think that's pretty apt.  My first time in a Waymo, Openae had their dev day, their big one-day developer conference, and I was there with a group of developers I worked with. We went there, we went to the after party, and then we had time to leave, somebody called up a car, and we all got inside of a Waymo, and we're driving away, and we're like, we just left an AI event inside of a Waymo, and that was like, and my brain was trying to process it, because the night before, Devo was performing across the street. I'm like, there's so much intersection going on there. Yeah, a lot of synchronicity there. We had a Devo performing back in the tech TV days, if I recall. Christmas party. I think like a Christmas party, yeah. Dan wrote in on our Patreon, actually, and said, the amazing Trisha Hershberger makes an appearance, and I am an avoider of games with micro payments as well. It feels that most of those games never let you become great at them with only a free version. You want to be the top dog in the game? You must pay. As a marketer, though, I totally get the concept of micro payments and see why it's lucrative.  You want them to excel at the game? You provide an easy and very low hurdle to jump to make that conversion. Thank you, Dan, as always, for commenting over there on the Patreon. Yeah, thanks to everybody who writes in. Patreon messages always appreciated as our emails feedback at dailytechnewshow.com. Andrew Main, you are also appreciated. Let folks know where they can keep up with you when you're not on our show. Easiest is on Twitter, KX, at AndrewMain. Also, AndrewMain.com, I got a blog. I talk a lot about AI and stuff and try to explain it in sort of normal person terms. I write books on Amazon, type in AndrewMain. You'll see one of my novels, my current one's Dark Dive, available now, which is a thriller in my underwater investigation unit series, which is basically about a police diver in South Florida who goes on some very interesting cases. Five books in that series, is that right? That series, yeah, five books, yeah. Wow, it's amazing the prolificness that you have of good stuff. Oh, you're going to talk, Tom, come on. Go check it out, folks. Look up AndrewMain at a bookstore near you. Patrons, stick around for the extended show Good Day Internet. Reactions to new tech these days seems more negative than positive. Is tech guilty until proven innocent these days? We're going to discuss. Just for a matter, we do the show live and you can catch it live Monday through Friday at 4 p.m. Eastern. That's 2100 UTC. Find out more at dailytechnewshow.com slash live. We're back tomorrow with Scott Johnson, Paris and Phil Spencer's take on the state of video games. DTNS Family of Podcasts. Helping each other understand. Simon Club hopes you have enjoyed this program.


Alrighty, so we got this image yesterday from a wild gravity travels They gave us permission to use it it was sent to them to I believe and just like them take this image with a huge grain of salt In fact, I'm gonna completely debunk this image. I don't believe this image whatsoever. I will say whoever made it though Definitely knows their stuff. It looks very believable In fact, it's it's extremely believable. They put a lot of attention to detail in making This if someone was behind it or if this was just some sort of Prank by the park, which I don't expect so many people know Dornie Park has been teasing some sort of announcement Slash just some teasers in general and you know, they've been going in liking commenting on stuff online Including one of our videos about them getting a coaster Earlier in the year Which is very interesting I do want to touch also on the fact that someone also sent in pictures of potential footers in Quotations So footer footings in quotations were posted on the web. I do want to say I don't believe those are footings for a coaster If they were we would have seen more pictures by now I find it really hard to believe that we only got to see footings from a very far distance In an area where dinosaurs alive used to be and that no one has produced any further evidence of construction Or footings since then and that was a good like two months ago. I think so I do want to say at this point in time I do not think Dornie Park is getting firehawk and I'm not sure they're getting a coaster for 2019 I've definitely lost hope and I think I was one of the few channels left that was really hoping for a coaster for 2019 Just based off of the teasing campaign and I feel bad because I feel like that if they don't get a coaster The park was kind of teasing a little too much for whatever they're getting I do want to stress though that it is interesting that park hasn't made any announcements yet So I definitely want to see what's up with that. I feel like cedar fair isn't fully done with their announcements And I don't mean coaster wise. I mean, there could be smaller things like shows Family ride like small really small investments. I feel like we haven't heard the last of them yet We learned even at parks like Canada's Wonderland Sometimes they can make an announcement like halfway through fall or at the end of fall I'm talking about when there's snow on the ground if anyone remembers when skyhawk was announced and slingshot and stuff like that Things were announced really later on. So there's always that possibility But to get back on topic. I just wanted to touch on Dornie Park as a whole. I really don't think firehawk is going to Dornie Park I definitely was one of those people that thought firehawk might be moved to another park But that is only because I am all the way up north in Canada where we live in igloos And I have no comprehension of the status of a ride So I did not know firehawk was in such disrepair and I'm hearing that it may not even make it to the end of its Closing date the last rider event. So I guess stay tuned for information on that As we wait to see if it's gonna make it because I'm hearing that it's in such bad Repair the park has even said that it hadn't to be closed Due to it's the end of its maintenance life cycle something like along those lines So it's definitely not a ride that you're gonna see go to another park It would just cost too much to refurbish it and then send it over.  Honestly, it looks very believable So Bravo to you, but yes, I definitely think this is a fake thing that's going around on the internet and I know wild gravity Travels definitely thinks the same and a lot of other people think the same too from what I'm hearing So definitely I wouldn't believe this or put too much thought into this Attraction going to Dornie Park. Anyways, thanks for watching the video. I had to get this video out I am really not feeling well For anyone that's been following me over the last few days I am really ill But I just wanted to make a video for you guys really quickly and give you my thoughts on this because a lot of you are Sending me this going. What do you think? What do you think? And I just needed to get a video out. Anyways, thanks for watching guys Hit that like button subscribe if you haven't and share this video for others to watch and as always Thanks for watching. Have a good one. Bye


So yeah logistics. So we're gonna do a talk on scaling open scaling Postgres on platforms like OpenShift and we're gonna go into details on Postgres operator. People will probably find interesting. So who is CrunchyData? CrunchyData is a company that is Postgres consulting services and several Postgres committers work for Crunchy. We do open source Postgres. It's all open source and we also do containerization of Postgres and we'll talk a lot about the containerization side here but we're basically an enterprise Postgres support company. We also have a booth here. It's right behind the Red Hat booth over there. 603 I think is the number. So if I don't cover something in detail, stop by the booth and I will spend a lot more time talking about containerization and the Postgres operator. So if you're trying to do a Postgres as a service some of the things you'd want to look at is containers in general provide a sandbox around something like Postgres. So it makes it easier to install, implement and administer like large numbers of Postgres in a cloud environment. Some of our customers do this on on-premise, some in public clouds. So we've seen all kinds of different combinations, hybrids between the two as well. So some people will run say a Postgres replica on-prem or off-prem but maybe the primary runs some other cloud or something. So lots of different combinations but we try to provide tools that let you do your own Postgres as a service. Okay so why would you do this? We want to lower the cost of provisioning Postgres so the containerization helps a lot with that and some of the tooling around it. So like Postgres operator for instance makes the cost of provisioning really cheap. We also want to provision Postgres in a way where you have a very good control of compliance of how your Postgres is set up from a security point of view. Also we support different kinds of authentication and it helps you basically control where and how your Postgres is being deployed. It's all open source too. These projects there's two of them container suite open source and also the Postgres operators open source as well. Some of the things that make up this Postgres as a service a set of containers called crunchy container suite there's about 12 to 14 Postgres related containers in that suite from running the database to managing it, doing monitoring and statistics collection and things like that. We support OpenShift as a primary deployment platform so everything we're talking about runs on OpenShift. The Postgres operator runs on OpenShift as of 3.7. So a set of building blocks is this container suite and it runs the Postgres database open source database. It lets you do backups in a variety of different ways. We support today three versions of backup utilities for Postgres. Large scale backups as well using PG Backgrass so like our Postgres container includes PG Backgrass for incremental backup. It includes things like PG Audit for government or DOD requirements for database auditing and then we do things like metrics collection of Postgres and we let you scrape those metrics with Prometheus and again there's a GitHub link there at the bottom. If you want to go find more details about it documentation and a suite of examples you can just download that from and try it out. Images are provided out on Docker Hub.  Some of the terms for containerization that come to play whenever you're deploying a database is clearly pods and services and deployments but most importantly is management of persistent volumes. So a database container like ours has multiple volumes that you can attach so just the data itself is its own volume but things like configuration files, archive logs, backups, all of those are volumes, represented volumes that get mounted into the container so managing the sets of large numbers of Postgres with large numbers of volumes is a management task. This graph simply represents as you scale up the number of Postgres containers or any container for this matter you get to a point where managing all of those becomes kind of a burden on the human side so the Postgres operator tries to solve handling large scale numbers of deployments and decreasing that burden so that's why we did the Postgres operator in the first place is people started deploying hundreds of Postgres containers and one customer in particular is deploying about 700 so when you deploy 700 database containers something like an operator is really useful to help manage that kind of you know number, sheer number of things to manage. So about 11 months ago we started writing this Postgres operator and its job initially was to enable easy provisioning of Postgres and also Postgres clusters so it lets you scale up the number of Postgres replicas it defines custom resource definitions that are centric to Postgres so there's things like PG cluster, PG replica, backups those are all custom resource definitions that the operator supports it's based on the Kubernetes APIs and client goes specifically so why would you do this on the right is a typical advanced or complicated Postgres deployment one primary in numbers of replicas with pvcs and claims and volumes and services everything on the right is basically automated by the Postgres operator from a deployment perspective but the management side is really where you get a lot of value from an operator because it knows about the bill of materials on the right it can let you interact with bill of materials type of concepts to a Postgres cluster as opposed to you having to individually manage small number of pieces of resources on your own or keep track of those so the operator applies metadata across everything on the right from a logical point of view you view it all as just a Postgres cluster we're going to show you just a real quick can demo of the operator has a client interface today and that client is nothing but a REST client that talks to the operators REST API so when you're interacting with it as a as a human you're interacting with a REST API its first command PGO create cluster RS1 this is how you start creating Postgres clusters essentially there's binaries for windows and Linux and Mac as well that we distribute so we just created three clusters there we're going to apply some metadata labels so if you're trying to manage hundreds of these containers you want to be able to categorize them in certain ways so here we're going to apply metadata label of environment equals test on just two of those and you're going to be able to search and query just based on those metadata labels so imagine hundreds of these deployed with several kinds of different categories categorization schemes you're able to view kind of your assets that you've deployed so using this PGO client means that you can you know examine what you actually have deployed out there from a Postgres set of assets that command there shows you the kind of the flexibility we've built into the operator it's really geared towards complex deployments of Postgres that particular command lets you place replicas on completely different storage classes on the primary it also lets you specify resource configurations for different pieces of your Postgres cluster and it's also targeting certain kinds of nodes for the primary so it uses Kubernetes node affinity to specifically let you place if you want to where your primary Postgres is going to be and then there's logic baked into the operator that's places node affinity rules that place the replicas on nodes that are not where your primary is running essentially so it gives you form of HA that's the configuration file on the server for the operator that defines all those configurations both for resources and for storage classes you can have any number of storage classes you want and you can do things like backup to specific storage classes as well so if you wanted your backups to physically be placed on storage classes like in another data center you can do that that last command just shows you how to view a cluster gives you information that's useful and then it basically a simple test that shows the status of the cluster PGODF isn't just showing you the data capacity utilization of your Postgres on a volume basis so that you know how much of my PV I'm actually using with Postgres data and this last command shows kind of overall operator status it's all command line driven today working on a web app to front this is one of our roadmap features that we're working on that command there just shows you kind of overall how many databases I'm running and what versions of databases am I running so if you're DBA and you have hundreds of these things deployed it'll tell you what specific Postgres versions you're running and how many of them are running so just another demo she's going to show a little bit different characteristic you see at the bottom there are those labels those are just user defined labels you can attach any kind of metadata to these you want and then you can query on those metadata just using any other kind of Kubernetes selector filters another thing while this demo is running is this is controlled with an RBAC mechanism so you can define different kinds of roles for operator end users you can define read-only roles or admin users so you can precisely define you know which features of the operator specific users want to use just uses basic auth and a simple RBAC mechanism there you'll see one with multiple serve multiple pods that we've scaled up you just run PGO scale and it creates causes it to create a new replica that's attached to that cluster from a debugging point of view whenever we print out information about a cluster if you have access to kube control or OC it gives you the ability just to do further diagnostics by printing out that information so roadmap people seem like they really like this project and we have some really large people testing this out and trying it out so some things that we're working on kind of phase two of this is to handle advanced backup management so if I'm creating thousands of backups what do I do in terms of scaling the management of those backups that's a problem we're looking at solving also they can thin cloning of databases using different kinds of storage technologies rapid data ingest is one where if we can apply operator scaling towards rapid processing of thousands of input files that's something that we think is interesting to look at a graphical user interface people would love to see that as opposed to this beautiful command line tool and then advanced security we think we can do things from a security point of view in terms of applying sequel security policies across large numbers of postgres we think we can do that with the operator actually it's already built in when in terms of a version initial version of that you can actually create and apply sequel policy across in numbers of postgres clusters with one command so if you have any interest in this topic at all check us out at the booth 6 3 oh you get a hippo you can talk to us ask us any kind of questions you want about crunchy postgres the operator things you can do with us these projects are both open source as well so they're very accessible for you just to go download and try out and play we sell support professional services and support around these and we also do training for customers on it for enterprises needing support and that's our business model but real exciting projects we think the operator technology really is is the way to go in terms of advanced automation and especially if you have hundreds and hundreds of containers to manage we think that's where the sweet spot is so things like dev test qa if you've got lots of databases that you need to provision and manage things like the postgres operator we think are where you can solve that problem and there's our contact information feel free to email us or paying us and we love talking about this stuff and working on it and also we can talk more in detail about big roadmaps for for what we're going to do down the road with the operator and thank you very much