18 Burst results for "Julieta"
"julieta" Discussed on Podcast Metanoia
"Jegede dropped with eloy. there's still mundial. My slurpy dotted fast racing. What i would be yelling. They'll play jelly grievous. Oblivion it for the show veep here. Nosing news start to connected as in chioma has abasement size On the edge that former four has managed to see is message on the best. I meant suppose. Achieve sodas sowings yum privileging nor mikan. Monica conversation reveals not such cleese's drops this e. She praised some billers. Ulaby daij beulah julieta. So potent dies just so vicarage. Meet shitty and shot this if you can open managing cows of Societies you i throw by duberstein's nizing. He'll drop his jewish discipline soon to age. Mccomb hussein pre professional book iraqi follicle vive. It he fell. Is you'll be on into senior juma krantz moines fujita benko moon v. Is a gear. It was so much persona. Ceo's as sedan she carquest. Whisper on the sonora. Malcolm's for a yucky autumn unless prisoners case. What you meant thousand's bookie that are still dodging thunderstorms psychiatric. Said you get into maj. Kutina miser toe fell on the key. The vulgar is are so inclusive. Jitsu komo komo character kapit swap ain't could he merging. She's your julia. Contra adult conferences for at bolan detail zone tonight. In the xinhua data who say change jiuquan requisite tau coys convict conceptual musso convert on silk as a man contract. When you feel you can reconcile for mature. The pangea vein in moisture. 'cause sonar stamp.
"julieta" Discussed on Fancy Free Podcast
"Share all of my humiliated. I love it yes okay. It's so fun. To talk about life hacks. Do you have a quick life hockey. The listeners would enjoy yes. My life hack now involves sports clothing. As i mentioned i have a teenager and he is giving off just this. Oh this horrible teenage boy smell and so we found that we use the oxy clean odor. Blasters it's a powder and instead of washing the jerseys you soak them in the odor blasters for a little bit and then you rinse them with water and bring him out and then you dry them outside and then no more smell. Oh this is so good to know we've got jerseys yellow and in this well that synthetic material hold onto those smell. It totally does and it drives really fast. So it's not like you put it through spin cycling. Yeah okay. that's going on my walmart list today. Oxy clean odor blaster. A link to it to the water is disgusting. It's kinda like close tripping if you've seen laundry drying total now. I'm fascinated by those people in the bathtub and then put all kinds of different stuff in them and then the water just turns nasty brown. You're like oh gosh. it's so gross. But it's good because then they you know it's not that like scented like muted smell. That's always in the workout clothes. So that's that's what we're doing recently and then when we're in hotel rooms for tournaments and we can't stand to have the smell in the room with us because it's a small space we take ziplock bag a double ziplock bag. And we put his cleats or his socks. Or whatever smells the worst in ziplock and we put it in the freezer. The fridge you know. I've heard about that like if you don't want to wash your jeans that's brilliant. Yeah it kills off the bacteria that smells bad. It's so much less destructive than putting him through the wash anyway for certain ratings like shoes hats or whatever. Oh yeah and you know just so you listeners. Know they actually make two gallons of blocks. So they're they're in the very bottom row in walmart and they're huge but you know like you can't. There's no way. I could fit my boys cleats in rowan gallons block it would zip but a two gallon ziplock. You bet your bottom. They go right all well. That's gonna go on my walmart list then to see we need each other. Yes what is surprising thing about you that nobody would be able to tell just by looking. Oh i would say that. I am a full believer that the home alone movie. Those home alone hacks were like the first home security systems in. I still use some of those tactics. When i'm home by myself you're like don't mind the marbles on the entry way floor those are just to make the robbers fall down. We just moved houses in my husband. Does ultra lightweight backpacking. So he's gone for days or so at a time and so my son came in before the security system was installed and he came in and the to patio doors. Had like jump rope that we're like tied together and he was like. oh mom. Are you setting up your hobo traps again. I'm like oh yes. You are so creative. I love it. That's the stuff any grim six coming out in you. Yeah i know right the other yes secure. The doorways will tell me listeners where they can find you online. We'll like you mentioned. I have a her view from home. Profile have scary mom profile. I have instagram. Which right now is still in a private status. But i'm working on putting a website up. Because i been doing some freelance writing to show that my brother-in-law just married a very talented website designer. That i'm going to see if i can get a discount creative networking like as soon as you have your wedding. Thank you notes written. Can you just come on over questions. I wasn't gonna ask while she was planning her wedding. But now it's over. I feel like it's a good time to say. Hey sue can you all right your thank you notes if you build new website lou. I like that ardour doesn't gotten them done yet. You're you're like. I'm a writer. You're a web designer. Let's collude that. Sounds like the beginning of a beautiful partnership. Yes it does. Oh my gosh well. Nicki you are a blast. Thank you so much for being on today and listeners. Don't worry there a nikki part two. I can't wait guys nikki. Nice scratched the surface. So we're definitely going to do a part to. She is so much fun. I can't wait. Make sure to check out fancy free. Podcasts dot com slash episode. One two three to find all the links that things that we talked about today next week on this show. We have julieta. Scooby who has some awesome stories for us. Definitely come back for that and if you want an easy way to make sure new episodes pop into your feet each week just click the follow button in whatever. Podcast listening app. You're using or you can go straight to fancy free. Podcasts dot com and always find the newest episode there and you can listen right on the website if you have a listener story. Email me at not fancy at fancy free. Podcasts dot com. Because i love a good listener story if you want more connection laughter and sharing join a fancy free facebook group. The question of the week this week is has any any thing crazy ever happened to you when you've been sedated or under anesthesia and i actually have a story about this tooth now as funny as nikki but then i'll tell you guys in the facebook group. I would love it if you would follow the fancy free podcasts on instagram. And tell a friend about the show you know on your girlfriend's wanna laugh about other people's embarrassing moments. It's so much fun. Also i have an exciting development end at chelsea shop pretty soon. We will have carnegie wins that you can wear over your shelf. Fees to kind of extend those summer shelties into fall and winter goto shellfish shop at s. h. e. l. f. i. e. s. h. o. p. p. e. dot com now to see what we have available and use the code. Fancy free for free shipping. Have a wonderful week and remember. No one is as fancy as they look..
"julieta" Discussed on The TWIML AI Podcast
"Your motion system doesn't care it doesn't seem to matter and then based on that we're saying well maybe we can build a localization system that runs much faster but it still gives us the accuracy that that is good enough for whatever autonomous system so we ended up designing a noodle net that has a branch that is dedicated to localization and that branch can be very very tiny. And then we can. We can leverage a big backbone. That is doing the the perception emotion during the perception and the prediction and sort of fan of big about on top of those pitchers right to reuse that competition. That's already there so that we can have a very very tiny network. That ronson like tumulus seconds. Three milliseconds are still acceptable. And so we have experiments show that this is actually possible. Nice and the title of the papers deep multi task learning and. I'm trying to drill. In on the the multitask part of that. Is that after you observe. That you don't need your localization to be quite as accurate than you built a multitask network. That has localization as one part of it as opposed to localization being a standalone system. Yes so that will be more traditional approach. Where like you have song. I have some stock or its own network more often this would reflect into having its own group of engineers being on task force or a group whose task is just improved localization So we're kind of doing this thing joining and another thing we notice. Besides the performance improvements. Is that if you are deploying this in the real world this is we argue easier to deploy as well because then you're threatening times are much lower You so you can. You can eat faster and you don't have to think of two systems at the same time. You can just have one system that you after it strained. You can push to the car and just get going awesome awesome. I'm curious what your you know when you look at. Everything is happening in autonomous vehicles of this year. Your personal take what you're excited about where you think the is going so i am really excited about why here i think So our co founder professor who has twenty years of experience we in ten years of experience in southern having and for years in industry in this justice problem. It's a lot of file of experience on earth lessons. Learned and i think that Having those insights in that that belief that we can build something from scratch that he's going to put a center stage. We're not just saying that like that. That's something that's backed up by by a lot of experience and by seeing what limitations current approaches have Also while. Julia thanks so much for taking time to chat with us and share a little bit about what you're up to and your recent presentations at cv pr. Thank you so much for.
"julieta" Discussed on The TWIML AI Podcast
"Learning for joint localization perception in prediction. Can you give us a high level overview of that one. Yeah of course. So first. Of all i want to say i am for thought on the premier contains taper But it was joined work with a bunch of other people In particular. There's two interns sean Money and the way they did a bunch of the the worker and in this in this part in shutout to them in my other colleagues uber. it's the joined. Localisation baker is. I am not for shelter. That is indicted them the work of john phillips who also interned with us. His finishing his undergrad. Right now is is one of those interns that are doing their undergrads in know already publishing the venues yes. His is more income is more and more common. So the that's that's a paper actually like a lot do because it's asking a question that doesn't get us very often so to. There's localisation is given a sensor reading for a bunch of sensor readings and a map you want to know what in the you and so this is if you want to build a robot that goes around your house or you want to build as an autonomous driving car anytime. You want to an autonomous system. There's always going to be some sort of map. Some sort of map of the world that is going to make it easier for the agent to navigate. And i guess. Self-driving cars just prime exemplary. The whole thing is that they have to navigate. They have to do it safely. So there are a lot of papers localization. This has been a problem has been going on for decades and there's a lot of approaches. There's a purchase assume that the mob has certain composition map is high definition low definition. Do you it online. There's memory trade of competition traitors. It's a huge area and the people the way people demanded these the work in that they usually will throw on our saying. You want to localize holiday image that you took three years ago and you don't remember what he was thinking or. You want to have an autonomous rather serene car but the thing that actually optimizing for is they have this magical localization error which is basically how far you are from given some better censored stelling you You know you are Which makes a lot of sense right. It's it's gonna taciturn so but when do our building autonomous system and autonomous celebrating. Car that thing you really care about is is this right comfortable and is this right safe. I don't really care if the car things that i am five centimeters ahead of. What of where. It actually is or ten or twenty as long as it's safe. It's probably fine and so that was the question we asked like. How can we link is localization error. How is that going to affect out. Systems in particular how it's going to affect things like perception prediction and motion planning by perception. I mean opposite detections protecting the cars pedestrians the the bikes motorcycles. Around you if my position is if i get that wrong. Am i going to be unable or less good at detecting cars and am i going to be worse at planning my way around them or dining or trying to predict what they're going to so what we noticed. Is that if that is small enough eric. Su same feis ten below twenty centimeters basically your perception system..
"julieta" Discussed on The TWIML AI Podcast
"Of guidance. Got up got it. And that's how you create your mapping for your product once ization. Yes that's that's how you create. Doesn't you decide exactly which things to compress together. Okay yes yeah we're gonna. We're not the first to notice that that this mutation in violence exists like that has been known since the nineties or so on probably since people started to neural nets eighteen. It's kind of obvious. And retrospect and there's papers that tried to use this to make optimization easier or for example there's a there's a guy at google brain colour simon convoluted. He has some papers where he saying. Okay if you have to networks to train them. Same data but different decisions. How can you tell if they learned the same features and then the question that is that the features could be the same. But they're they're they're going to be permitted differently because initiation is different. So you have to find some sort of canonical commutation to to make these things compatible. And so they they do a similar search to what we're doing with a very different angle but exploiting the same properties. Okay nice and so then. Zooming out and looking broadly at the approaches. That folks are taking for neuro compression or compressing neural nets..
"julieta" Discussed on The TWIML AI Podcast
"Well if you search over all of them that's gonna take your while because there's a number of permutations but you can find efficient algorithms. Do say is the casting. Look at look at a subset of them and then try to find one revision. That is going to make your data. Easier to compress in this case data is going to be the weights of the network at orca and so then the next question is if i give you two permutations how do you know which one is better That's the natural question. The thing is that better decision was a very hot topic. I'm talking about the eighty s late eighties early nineties because there was this big push to digitize a lot of infrastructure that we had to go from analog to try to make it more digital and so the delimitation that we had in doing that whilst that we had very little bandwidth so we could only transmit so much by data over say the essential action social or whatever we have so there is a lot of papers usually alertly that deal very neatly with saint theoretical guarantees of how you can how get good code books how to get good compression rates so so one thing people studied in particular because back then getting relate was really hard to get in so there's a lot of papers on how to compress samples from agasi and samples from la blasio and samples from other canonical say distributions so for example for adoption. We know that that are well known. Lower bounds will nope rebounds. Actually opera bands are harder to find around saturday northbound and so if you look at at expression for this you will see that. There is some constant numbers based on. How big your book is. How high dimensional they days and then there is something. There is a term linear term based on the determinant end of the audience of the data. That you have an intuitively. This makes a lot of sense. Because geometrically the deterministic obedience gives you a sense of how spread.
"julieta" Discussed on The TWIML AI Podcast
"You're going to get the same compression rates. It doesn't really matter for tens of compression in which order you look at your bryant but if you're doing something like vector decision you might say. Hey maybe if. I up the the first vitamin jones and then dimension strong fifty five to sixty and then and then last stand i mentioned and i make that a single subgroup. That's going to be much easier to compress than to just take. Whatever dimensions happened to be together That i think that what i was maybe trying to get at is the when you're typically applying vector innovation. You're coming up with this map. Are you also considering the entirety of your data and using that to create your quantification scheme or is that unique to product quantification. It sounds like that may not be the victim versus. So i think now so imbo. In both cases you have to quantify everything the gain that you get with product is that you have this freedom of having subgroups. Okay right just doing like say more Just taking your holiday to sit as each entity has our full factory. You wouldn't really have have that okay. And so how do you characterize the advantages that you get with product quantification. So the nice thing. Is that because you have multiple subgroups in example that i was giving say four. You can think of it as you're expressing in that example you're expressing your vector as for numbers and those numbers can't take each two hundred and fifty dollars so in a sense you can think of having a combinatorial sense of clusters to compress your date. Because you're going to have two hundred fifty six times two hundred fifty six time two hundred this one hundred four times so that allows you to have on implicit kobuk. That is very very large. Which is good for a compression whereas if you were looking at the data as a single that than having. A book of that size might not be even physicals for example okay and then practically how this play out when you're using this to compress a narrow network efficiency and accuracy and all those kinds of things right. Let's get into the question of how we do it. I think that's That's a nice point. So like i was saying mean question is what are you into together so you say you have a matrix in in your near net. That is sized thousand thousand. You can choose to split this into subsets of for numbers. Each and then. Three dose of bekker's drunk means and then get a compression that they get representation. That is much more compressed. So the first thing that we do is that's what we call the paper permit premiered than quantities in you so that premiered step is.
"julieta" Discussed on The TWIML AI Podcast
"Yes so they're kind of similar so to station is what happens when you try to look at each value internetwork or in general in any data that you have and you're going to look at every number that you have in your trying to map these real floating point in practice values to at this grit subset and so it's kind of similar to what we're doing in becan decision just in in scale concision. You're going to have one code footage scaler in federal decision. You're going to one code for each vector in and of course the question is how you define a vector what is going to be grouped together and so on so it theoretically scaler station is going to be limited in what compression ratios it can achieve. Because let's say that you're representing your numbers with thirty two bit floating point. Even in the more extreme case you're going to reduce that to to a binary value when zero. So that's going to give you a thirty two x compression rate for the extreme though. It's which is pretty card. It's good but when you how would we trillions of parameters that might still mean that unit machine with two hundred gates of rotten or something like that. So now you're saying if you represent a vector of eight quantities with a single binary then you've multiply that out. Yes yes or if you think like eight eight values sixteen values in so on the bigger factor the more bang for your buck you get exactly rushing. Got it okay. And so then you mentioned that there are only a handful of papers that have explored vector quantities. Ation any sense for why that is. Is it just hard. Did it not seem promising. Did other more promising ideas jumped to the four. Yeah it's a good question actually i. I am not entirely sure why that is i. Think is gal. Concision is very intuitive. One thing that might have happened. Is that when you have a scaler qantas network in particular the way how you can use that to accelerate inference for example is more straightforward with current hardware whereas if you start mapping multiple values to a single code than how you would accelerate. That is not necessarily obvious. And so the. I think that might. And so if you don't really have the memory limitation being really demane constraint. Which if you're not cuss fifty million barometers one hundred million parameters you can probably get away with clerk when decision is still run. That in this desktops are fairly high. End phones for example so it might be just now that we're seeing these networks are really really huge. That there's not going to be a way around it right right and so kind of going back to the method that we discussed in the context of database. I forget you said products. Are the taxation brought accreditation yeah is a fair simplification to say that in scaler and vector quantities. Ation you're only looking at the specific quantities at your quantum saying whereas with product. One ization. Now you're looking at the data that you're going to be quantum housing it kind of at large. I think that it's kind of fair to say. So the thing that conditions that you would then you have to define you really have to think about what you're finishing vector is going to be Because for example before we were saying we have this database has a hundred dimensions and we were saying legis split it into.
"julieta" Discussed on The TWIML AI Podcast
"And as it specifically in the context of neural networks. Or is it outside of that. Yeah so this was two thousand eleven. This was dealing with the database problem. Okay before neural nets were widely used. Wanted to confirm that. So the they actually have the they motivate with the computer vision setting and experiments i e paper like transactions in better. Noses mission indulgence. It's big computer vision. Journals thought that data sets are from computer vision and so on so in particular there. Was this one scripture that everyone was using magnetic call sift describes as mall patronage in if you have a bunch of them. You can't do a lot of interesting things with the database so the approach is actually very very simple. It's in that they did not part of what makes it so nice so we're going to have a so after we tracked all these descriptors. We are going to stock them on a big matrix. That is going to have dimensionality on one side. That's going to be the tiny side and then size and were any decisive database and everything is that they can be like hundred or something like that but and can be hundred million so on the simplest way elect explain this is yukon cut. This fits into say for smaller. Data sets say if we today if majorities hundred than each data's it's going to have Mentioned twenty five. And so then we're gonna run k. Means on each of these little data whereas mall representatives set of that that is going to give us two things so the output of canes is on the one hundred the coster centers are going to call that the code. And then it's also going to give us an assignment for each point in that sub. Datas to the cluster. Centralize closest to it. So now what are you gonna do is. We're going to run. This came in with a very low k so say canes because something like donald and fifty six is like the standard value we use so that means that the codes are going to be numbers between zero and two five and that means that we can start with a single byte now. The nice thing is that we have these these groups of codes in court books..
"julieta" Discussed on The TWIML AI Podcast
"Julia is a senior research. Scientist at wabi julia. Welcome to the podcast. You thanks for having me. I am really looking forward to diving into our conversation. We're gonna talk all about some of your research into computer vision to get started. Wanna share a little bit about your background and how you came to work in the field. Yeah of course. I was born and raised in mexico and around two thousand eleven thousand twelve. I finished my undergrad. There and i really wanted to go somewhere else for my for grad school so i applied to a bunch of universities in canada. Then i got accepted into the uber. See the university of british columbia. And then i started doing my masters there then eventually went onto a phd..
Vector Quantization for NN Compression With Julieta Martinez
"Welcome to the podcast. You thanks for having me. I am really looking forward to diving into our conversation. We're gonna talk all about some of your research into computer vision to get started. Wanna share a little bit about your background and how you came to work in the field. Yeah of course. I was born and raised in mexico and around two thousand eleven thousand twelve. I finished my undergrad. There and i really wanted to go somewhere else for my for grad school so i applied to a bunch of universities in canada. Then i got accepted into the uber. See the university of british columbia. And then i started doing my masters there then eventually went onto a phd. With the same students supervisors and then in two thousand eighteen. I was grabbing my pitch. Like i just had to defend so i started looking for jobs and i ended up moving to toronto to Overnight g. arduous this elaborate had just been founded in south driving then in earlier this year that shut and a few weeks later fuel a little bit later after that i joined wabi. Which is when. I'm working out right. L. awesome awesome. Tell us a little bit about lobby. What is bobby doing. So why is a company dedicated to build an explanation of south reagan and so but but b believe is that celebrating is the most and exciting technological innovation. We will see in the next two years. And why is that's why we deal is trying to build upon the lessons of the last year's and tried to build an approach that he's a i. I saw not just something that is hand engineer and then we tried to put ai to make it better but something that right from the get go can really put a centerstage
"julieta" Discussed on Fantasy Focus Baseball
"But, you know, you also shouldn't necessarily say, we'll just gonna hit fifty you know it. You have to balance those things, and you learn overtime where that line is returned through the hash Browns, like we've got a flight to London. Catch. How about that? Well, we got one last one here drew wants to wants you to update your sei-yung MVP and World Series winners based on what we've seen in the first half of the season. Oh, goodness. I saw this. I saw that, that this has been asked. I think late last night and, you know, I realized I should have looked at just really hoping I wouldn't pick it. No, I that's one of those ones where I see it. And I think, oh, I got a look that up and then the morning comes and something else comes up, and I don't think about it, Cody Bellinger. I mean it's Cody Bellinger, Christian yelich. What else can I say? Well, you know, I'll, I'll bet you trust in the answers here. If you wanna, you know, go for think about it a little more, but I would definitely I would go yelich right now. I would go with Ryu as my young winner in the NFL it now for AL I think, just based on the buzz and and, you know, we've been talking about so much. I think you gotta get Lucas Julieta the not here. And for Allen, VP, ah mister, DJ make you. I mean he's the here. Oh, you're not on the LeMay huband wagon r you. It's not necessarily best player. It's who why are they in first place right now? It's because of the Mayhew because everybody else's been injured. Voters for that be are not necessarily picking the best player picking the one that the, you know, got the buzz and in, I'm supporting that we'll bring I'm gonna go dodgers over twins right now. But, you know, things can change. I can't even begin to make I see your point on LeMay. Hugh, I've heard this argument made he's not an empty. I hate voting for VP this way. Trout. It's trout. Ghetto fans the MVP because we don't more that it's not a real thing. These are actual tangible awards. I think he's got the best shot right now. They voted today he would win. I, I, I can't do I wouldn't vote for him. I think it's the best player, you know..
"julieta" Discussed on KTRH
"Time because it service king you ruin. News. Brought to you by sparks engineering. I live off Kirby. Your forecast is coming up at twenty past seven forty KTAR H another check on your drive with. Julia hardy another update on the forecast coming up here in just a couple of minutes here on NewsRadio seven forty KTAR h also KTAR H dot com related to the weather. We had yesterday we have videos from yesterday's Houston area. Flooding we've got a Houston rapper who was helping out stranded people in high water we had area school closures. We have road issues any shelter information. You might need is all their KTAR H dot com. Available right now, you can access it. Anytime you needed right? We did have a school shooting yesterday in Colorado. Not that far about eight miles from Columbine high school. Of course, the twentieth anniversary of Columbine don't know if it's related to that. At all we know now that we have an eighteen year old in custody. We know his name I will share his name with you because that's just against our policy. We don't share the names of people who are seeking out infamy. We also know that eighteen year old male student was lone person killed. We know that there are eight people who are injured, and we know that several of them are in critical condition. Here's the governor of Colorado. Speaking of shortly after the shooting yesterday. Well, you know, this is a this is a upscale community. It's a diet technology engineering that charter school really, many friends of friends of mine and people we know attended school. I think so many a relief to find their children safe. I mean, you saw some of the video of the parents, you know, running to the the center to arrange to pick up their kids afterwards. The it was done in an orderly way the kids were moved to the up site the system worked in that sense. And of course, if if not for the courageous and prompt response of our first responders, the situation could have been far more tragic, that's governor Jerry policies a democrat in Colorado five twenty now time for traffic and weather together. Let's get you caught up on Dr. What's get any big issues? Julieta harney. Well, we do have some high water issues. A lot of them are going to be on frontage roads. For instance, the east techs right around.
"julieta" Discussed on 77WABC Radio
"So I get an Email this weekend from old friend, Ron Kuby, courtesy. Leila. Turns out as a kid named Adam Cooper steam, you may see him. He's the lead anchor for NBC for the local news on the weekends during the week. I guess that's still trucks corP. I don't know. I really don't know. I don't either. But the coupe used to be done in Miami. With me, he was a sports talk. I looked at the news down in Florida as well. Now, he does the local NBC so somehow or another Ron Kuby runs into Cooper's. Tina my name comes up in autumn. And I always got along most people. Mommy hated me. But he was okay. With me. But Kuby always does this every time. He he contacts me, which is once every couple of months, he'll tell me something right, Bernie, whether it's something about us on the news or in this case out of Cooper Stein. And he always is compelled to Ed, by the way, I'm doing great enormous radio. And my contention is the reason why he sends me that every single time is because he's lying. He does miss radio. And then what he does is when he says that forces me to say something like radio misses you right? Of course, wouldn't you do that? That's what he's you can tell he's fishing, right? So I do it every time. I'm like, wow radio misses you which I do believe I think I thought he was great. Oh, yeah. I like Juliet and Julieta terrific with her. But I thought the dichotomy that those to hide and the the back and forth was really good. It was magic magic you ran away. From like it was on fire. He couldn't stand. It. It was good to them. The bottom line is you didn't really care for Ron Kuby. But the wife wife and bring that up. I love Ron what's the point? We rescued you right from the Curtis and Kuby show, you were dreadfully. Nope. And bubbling. That'll did you come here and cost that poor kid is producer job. He's been like fireworks. Right. Mike Garelli macaca rallied the kid who says ex. Yeah. Ex. And he's a nice kid. I try to tell him. I can't say I can't say that you can't go to a job interview. And you say, well, let me ask you a question. You can't do that hint. And I told him as a friend. I said, look, workout it. And meanwhile prior to is dismissal. It was still saying axe. Visit is it that hard? He did actually get his job back after this. Then so so I go to see the number one movie in the country on Saturday night. My son Gabe and wanted to see and to be honest Bernie Saudi Danielle, and it's how to train a dragon three. We love the price to it's a series of your son was younger, you would take him. And he loved you love it. So what do I do we go see the movie at the Lincoln center cinema, which is on sixty seventh and Broadway, Lincoln's hence, I know only because it was the closest. There's no movies on the Upper West side Briley, but I live downtown we had an I max theater right there south street because they know movies at eighty sixth and Broadway. Yes. But Danielle and Gabe brought a birthday party at Chelsea piers. So we kind of met so I get down like a half hour early. So what is one block over on sixty sixth and Broadway? And I'll give you hit one block sixty sixth and Broadway is the WABC TV radio TV studios. Who knows what time it is? Now, I know you know, this. But I didn't know this until I saw this on Saturday. I've been there a million times you that's title, Peter Jennings way. I did not know that. Yes street is Peter Jennings away. Roka does that that's nice. Downstairs. Here in three months to put Bernie and sit way. Listen. He's dead. Well, we're going to be soon. Here will be that to anyone. So a was so there I am that you remember a couple of months ago. I told you this. Oh, now, don't tell me you jumped in the wind tower standing outside the window trying to get loose chose attention. Now, this is a Saturday. So it's not lease and Bill Ritter. And those guys beaten, it's Torres. You know, this guy I do. And who's the lady with the short blond hair, Diana, something, I think Diane. She's older. No, no, no, black lady black lady chubby. Yes. I know who you're talking to I don't know their names. But I know he talked to bright so they're on. And there's a couple of people standing outside the window watching and. Laughing for free Bill Evans that would have been a great side. Yeah. I didn't think about that. He quit he quit while they say he quit right right after I got. They quit because you know, they were gonna cut this cut that or they didn't want to meet this demand. But that's a man. Yeah. He quit. Oh, wow. That's sad. Is everyone always say I left on my own accord. Just that I got fired every place. I went. The good news for me. Sometimes I welcome me back anyway. So yeah, I'm outside the window. And I and I did it again, I'm doing Trump and jive. Were you wearing the shirt? No one was dressed up nicely because it was Saturday night. I'm going to the movies, my wife and son and daughter, so I wanna buttoned-down like this in a pair of jeans, and my my my coat, Mike, my nice code, and I'm up and down outside the window there. I am just just a just a desperate reminds me. Of course, specked the cameras would be done in Times Square back in the one thousand nine hundred seventy and all these kids jumping up behind the cameras. That's in the nineteen seventies. How out one who's that poison daily when he did the? Times. Today. It's it's a little less so than it was back back. Then unless you're me unless you you right, exactly parallel. Just admit I needed, and let me tell you. There are times when I get very angry at myself. I'm not gonna watch a public advocate debate. I'm glued to New York one. I'm not going to watch the Oscars watch seven hours. I stand up outside a window on sixty six and Broadway and jump up and down like a teenage girl. I'm watching what Gina Kim get an award last night, and I start to cry and I say to myself, honestly, what the F is wrong with you. What's the matter with you? Let me ask you this question. Do you think they're going to turn a camera toward you and say, hey, look, we have outside the window. The the black lady's gonna turn and wave to you. What are you? What are you expecting? I swear to God my thought is that if I can get either one of those things and if both happened I'm gonna climax ejaculate right there. But if even one of those things happen on the happiest guy in the world the happiest I have a suggestion for you. And and we should do this. We should Mike you up and send you out to the today show because you can I've done that I've done that with. Hodie copy. What's her name? Hold on by avowal copy. Yes, I stand outside their to finish. You could do that. We could put on the today show what I used to travel from here. Up to FOX business for some live appearances on the morning show. I would get off come up the subway and walk quick I had some time walk over to thirty. And I could see I'll roll all Matt Lauer when he was there all the right there did they know when they would look they might recognize me, and sometimes they would come out to the plaza. And you could definitely make some impression with them at that point. What do you want me to do Bernie and sit that's up to you, you want attention figure something out, but see will you be insulted? If they say, oh, here's a nice man for where are you from Sarah? And they don't know. My insulted. I may kill myself. I mean, I don't think you should do. They're going to Hawaii Hawaii. Let's say don't know who I am. Now. Just you just go there, not if you're not wearing the shirt, you go there when they're out of the plaza Roker loves me on my show, Miami a million times, it was begging to come on his show. Right. But look what once I did this with Monteria Ivey and stuff on track. The late Monteria Ivey. We went up to the studios in front of CBS. And this is what Bryant Gumbel was. He was living with this beautiful blonde on the upper east side, and he stopped paying child support alimony to his wife and kids and their electricity was turned off. And so we actually held what was called what we called Gumbel aid. Because you remember back then they had far made and all that stuff. Right. So we were out in front of his studios with cameras from MSNBC and all over WFAN radio, and we will collecting money food people dropping off cans of food which we sent to his wife. Gumbel aid. And of course, right out in front of the windows at CBS wherever the hell. They are fifty eighth and sixth or something. I don't know. But we caught their attention because it made the New York Post the next morning is a picture of me standing there with a Gumbel age. That's funny. That's funny. That's some attention. That's a very funny who came up with. That idea was how you I'm sure it was me how to be right. There was me or Monteria whoever elaborate, I told you I the Dwight at my equinox couple like last month. I showed you the picture. Yes. He he's an attorney slash comedian. Yes. Monteria was the funny guy. Right. He was the brains. Yeah. But it's nice. Lessons every day. Now. That's great. Thanks. Is funny and smart too late. Material was the opening act. No, I know is for Chris rock. I mean, he was a legit stand up comic. They actually put those guys on Eric spits. Put those guys on Saturdays are own sport show because he thought they were bunny not much about sports. But they were funny. They had a Saturday afternoon show on WFAN. They've only black guys outside of Tony page. They wrote books like snaps. You know, how the the blacks used to do the dozens they call. It your mom is so fat or back of a neck, look, like a pack of francs. Type of thing. More chins in Hong Kong book. And the field guide to white people. Oh, yes. Yes. So they were funny. They were great. They they had a huge role. When. This is still on YouTube along with our fight fear at the Pierre. When I went up against John minko to get the full time job as the sports caster. Wolf was already gone was gone. And it was me and go even though once again, we all the why was getting it could do that they had to make it to like all the guy's been. You'll be loved me. They put on a whole dog and pony show in studio one day in the studio in a story of queens. We had boomers science and BIC Cabot, Mike, Luke, Mike Breen Mike and the mad dog. Do I can Ivy was like thirty people inside the studio. I am on the phone and mingka sports cast. I did a sports caster was is you vote it lasted two days. And of course, homage the mcchord like terrible. Terrible terrible. And eventually, I guess I one of you remember that. But that's sellers. We have these sports caster competition, and I being played a major role Oles one.
"julieta" Discussed on The Adam Carolla Show
"She'll fly model airplanes. Okay. I get that. Like, I get lots of things. I don't get Star Wars. I don't get the conventions. I don't get dressing up. And I don't get. I don't get Comecon. I don't get any of that stuff. It doesn't make any sense to me on. Stuck at the Star Wars. I dressed in nineteen Eighty-three. I dressed up as Luke Skywalker with the black glove because it got us. Hint chopped off, of course, back for Halloween. All right. Everyone likes the first one. Then they'd like the second one. But they didn't like that third one. I don't I will make time is not been kind of this movie mostly because of the ox, okay? The nerds jars? Yeah. No, no idea. All right. I've locked it in. This is a very good movie. It's it's underrated. It's the most technically sophisticated of those first three movies. It was well reviewed at the time massive hit. I've said ninety two. So this was a giant struggle because it's by far, and obviously the worst of the original three, but dare you? But if you're if you're a little girl, you're gonna love it because the walks are cute, and that's it. But it's still a Star Wars movie, and they would never let it slip to a rotten. Now. I said seventy four oh, I agree with Jean high seventy eight seventy one no return on the jet is certified fresh hell. Well, that's over fifty nine. That's eighty one percents. Everyone's kind of let hook there. All right championship Brown's here, we go. All right. The man Greer the thirty three wine and the endless ranch are going to be flowing. The Corolla family barbecue June twenty second. But will we have martinis? No. The clog up the line to the bar and they're for sissies. Teens like this BAAs Lerman movie two thousand thirteen the great Gatsby. A long way to go. Yeah. Never saw. It never read the book. What's going on boss Lerman, right? Bill. Bill of Julieta, very stylish highly stylized. All right. So they didn't like this one. I don't think I don't think Cambria Tope acquire. Kathleen. Kathleen day, not the hate it. A big release to this is massive movie time. I have I didn't see it. I've no idea. Okay. Where's okay? Science. All right. I'm locked in their locked in. Here we go. This is not a good movie. And I think it might get a little bump because it's pas Laura minutes. Cool capi. Oh, it stylized classic the classic novel. But it's not good. I said fifty two. I didn't see all of it. I've caught parts of it. I just remember like you said the release being gigantic figure the so I figured the reviews and the love was gigantic. But this was meeting conservative. I said Eighty-one. No, no, no, no, no, no, no. I didn't see it either. I'm going to say seventy one I said fifty one the fifty one the great Gatsby is rotten hill at forty nine percents. Fourth movie, usually where I lose it complete. This is all right. All right. I gotta go to the four quarters run. The clock house pretty close close. Will there? Be live jousting at the Corolla family barbecue on equivocally. Yes, none of that fake pool. Noodle stuff either. We're talking armor, clad nights and thoroughbreds just like the ones we saw on this film. That features an epic choreographed David Bowie party two thousand one's a Knight's tale. No memory of heath ledger with this the musical. There was was not a musical. No. But there was a cop rock. Yes..
"julieta" Discussed on The Dan Patrick Show
"I was like my goodness. And then you beat Denver and the Denver, which was the greatest thing ever watching. Barry Sanders, we played them in ninety five seeing him live. What he was able to do. It was remarkable and being on the same field. Reggie white. Just the the the amount of power and strength. And what he was able to do was unbelievable. So, but he's good on the list of the great players that play. But those guys really stand out as something special. Could you beat up for my guys at the same time? Yeah. There's not a doubt. If we if we said, you could not leave this carpeted area. I'm confident because I couple I take out immediately. Just one punch their done on the other ones. I'd have to fight a little bit. Okay. Shows you know, they're both the weakest link. Fritzy, fritzy, probably the weakest link here. Even though he's got big his arms. We've got the one. I heard talking about like urological issues. Yeah. Yeah. Definitely be out. He's got issues. Yeah. He's got. Here's something going on a lot. There's a lot going on. Yes. Yes. I think I may have. And mclovin. I don't know. I remember the bench press, Dan, he did bench press two hundred pounds two hundred pounds. I could get I've got up to two fifteen in my back. Yeah. What's your max? Right. I don't know a lot more than that though. My shoulders don't even work anymore. And it's still be more than that. They screwed up your shoulder and you around there. Yeah. That was there was mishaps. I think that's unfortunate it at that though. There's no reason that they go how how's your shoulder now? Oh, it's complete crap. So the good news. So this is Dr probably four or five years ago about it. And hoping to get it cleaned out. You know, or something that's what athletes do is cleaned out. Like, you're going to oil oil changes that will move on. And he said there's nothing I can do. And I said, what do you mean? He says I give you a new one like we're not doing that. And so till I can't play golf anymore. Okay. I won't play. But that's about all the external. That's about as far as it goes. But I had the knee replaced. Yeah. Have you done that? Now. The I got my knees. I'd have. Okay. Well, they've mastered. The hip I was like, no problem. The hips good. I played golf like three weeks later. Yeah. The takes a little. That goes, well, how does Sunday play out? I I have a hard time seeing the patriots losing on the why do you hate the patriot? No, I don't. I've a lot of friends that you know, they call me going to the games and doing all the games. They said gosh, we hope the patriots. We're so tired of the patriots. And I think it's easy to take that point of view to me. It's just the opposite. I mean, how often the greatest sports dynasty in my opinion in my lifetime. If you look at the NFL setup for parody. Yeah. Set up for the dad teams be decent from draft order from salary cap. Everything is going against the dynasty. And that's why I think is greater than anything that the forty Niners did the Cowboys and the day or the Steelers were Bella chicken Brady of done in this era is the most remarkable thing I've ever seen. I mean they've been together. Now seventeen years of were raised healthy nine Super Bowls. This guy's there's think about this. This guy's in the roster who played in the NFL for eight years and they've been the every year. What are you talking about me? You talk about twice. I mean guys never get there. Then a Super Bowl three straight years. Joe tune. He's never played a season of football. The starting left guard without playing. The superbowl. So I think that I think the pay very close game. But I think the patriots just edged out the Rams final question you can have Julian atamans career or Calvin Johnson's. I'm going to Ataman. Okay. I thought about it in the beginning. And then I thought well Calvin Johnson. And then I realized Eshelman is probably not going to the whole family. No. But you can't tell the story of the NFL without Julieta, you cannot and he had two of the most iconic place in Super Bowl history. And he's not done yet..
"julieta" Discussed on Fat Mascara
"Yeah. Local to Patmos GARRETT'S. Jess, I'm flying solo today. Unfortunately, Jen could not be here. Sad news jen's grandmother has passed away. And this is information that she was comfortable with me sharing with you guys today. So just want to send a lot of love to Jen in her family today, she will be back with us next week. And she wishes she could be here with you guys. So today, it's going to be a solo interview with the wonderful Julianne around sick. Who has a new line out today? It's a great interview. Hope you'll stay with us. And also stick around for my razor wand. Also, I would be remiss if I didn't mention how much I want to acknowledge branch Rex's passing founder of Desi 'em as many of you know, he passed away this week. And we just want to send a lot of love out to his family and his friends. I am here. Oh, gosh. I really have to do a good job. Because I'm with like the person who does this E news host. Entreprenuer challenger shout of truth skin-care. Julieta ransack Juliana. How did I do do as ING for someone who interviews people and introduces people for the past seventeen years? You did a great job you like I. I really like you do I get to go on air. You get to be on east seven PM. Sierra.
"julieta" Discussed on KOA 850 AM
"Robertson work with the basketball plays on the left wing to Skaggs. Eli Parque is Lisa lobster cat low on the block. Wait, spitting ready spins into Evan badly. Lost the ball on Evans chest, and is taken away by the Kelly coast to coast all the way to the back. Steal on one end after it was knocked away by a battery in the bucket Kili. Right. And it's a sixteen w run by Colorado. He gets an open floor. He's got some real speed. He's got a little extra gear. Escapes. Julieta bounces off the candidate crosses over driving at c retail to pay. Shuttles off the way delegates and slammed vice player snaps at six hundred sixteen to seventy thousand favor of Colorado thirteen to two point of I Al Parque a one step slow on the rotation there. Left side. Top cutic- gambling back to the left wing, bats. Short quarter have Batty touch pass inside the sea returns on his way up his cramp Daniels. Robertson, we'll see which one Larry stolen Kohl's the foul on looks like it's going to go against Daniels, daddy's his first fourteen fellow Washington state that will send seaward a up to a white now to shoot too. I think they're calling this the active nice touch pass by burial based on excellent passer. And you'd really like seaward disco straight up without the left hand. Tossed up and good by Lucas seventy six percents. Was he took the ball down by his knees allowed the guy to foul him without getting the ball shoulders will be coming back in with the two fouls, by the way, probably not much to lose for them. I was gonna say they lost four zero. Seaward second toss. Fires rattles that one Home Box. Eighteen to seventy today team to to rumba called around twelve forty five hundred dollars on the right side inside spitting on the bucket. He's weighed on the left side were taken by coats top step back. Fourteen foot. Jumper fading. He pushed off Parque. Ahmed Ali Occidental. He's got five at eighteen tonight. Quickly up four fort rights to top of the key lopsided Gatling to parents out top to party on the left side. Gatling kill take another one. He fires and MRs Wade's got the rebound. Yeah. The Whiteside to Ahmed Ali is open on that one. A little bit of a sliver. Holly gives up to elevate. We're getting his daily Cush drive step through killed is triple lobster in the paint taken by coach kickout up top of the right side to scare who's got a quick trigger finger. He fires three bullet that went halfway data. Popped out of a pounds. Rebound is gathered in by Evan valley up to it. The daily drives his way down the left lane. Throws it up the left hand shot blocked away by eligible to foul. The drive is called against Washington state. Best teams deliver five already on was wazoo the personal picked up by Ali. That's his first now that brings us to what officials timeout foul shots to they call it on the drive or the shot. I think it's on the drive, which is buffs basketball. We come back eleven fifty to play in the first half year, a bolted top AT the mind of the Washington state. This has got a little basketball..