Podcasts about simu

WOKE Actor Simu Liu Whines About White People Selling Bubble TeaYouTube Channel Rumble ChannelBecome a supporter of this podcast: https://www.spreaker.com/podcast/radio-baloney-the-richie-baloney-show--4036781/support.

This isn't the first time Woody Harrelson and Simu Liu have gotten up close and personal! In this episode, you'll hear how they worked together in some pretty tight quarters on the upcoming feature film “Last Breath.” Simu tells Woody and Ted about his family's journey from Harbin, China to Canada, and how he later went from being an unhappy accountant to becoming a Marvel superhero and Ken in “Barbie.” Bonus: Ted brings up Woody's silent but deadly past.   Like watching your podcasts? Visit http://youtube.com/teamcoco to see full episodes.

Matangazo ya nusu saa kuhusu habari za mapema asubuhi pamoja na habari za michezo.

We're heading into 'Day 3' of Dances With Films Festival (20th June - 30th June 2024) and @EchoChamberFP https://www.instagram.com/echochamberfp/ has you covered! Not a film today, BUT a TV pilot!!! Yes, we travel to Africa for tale dealing with love, suppression, self worth, veiled in myth, folklore and supernatural happenings! We then have the pleasure of breaking bread with the highly talented & introspective young lady who conceived the show, and strove to bring it to the world! We talk about that vision, drive, her epiphany with storytelling, and bringing diverse faces & tales to the screen, among so many other things!!! Definitely not one to miss!!! Watch the conversation: HERE! https://youtu.be/z9xG1KOqGDQ 'Burns and Song' is a TV pilot written & directed by Tendayi Nyeke. Housewife Risimu (Simu for short) (Dikelo Mamiala) is the perfect housewife to Tendero (Baxo Mfidi) and a doting mother to Nicole (Mongi Majola). Her life appears perfect and tranquil, but Simu runs from a dark past. One chaotic morning ignites a vengeful spirit, NGOZI. Ngozi warns Simu that her life will crumble if she doesn't repay the debt she owes by Nicole's 13th birthday. Simu endures tests and temptations that threaten to ruin her carefully crafted life. She must find a way to turn her destructive streak into a force that will help her build anew, or everything she loves will become ash. Today we have: Burns and Song Watch Review: Here. https://youtu.be/ERUiLEFBkfM Dances With Films Pilots Block 3 Saturday, 22nd June 2024 at 14:45pm World Premiere, TCL Chinese 6 Theatres Buy Tickets: Here. https://danceswithfilms.ticketspice.com/dwf27-pilots-blk-3 Director: Tendayi Nyeke Cast: Fulu Mugovhani, Hakeem Kae-Kazim, Baxo Mfidi, Chi Mhende, Mongi Majola, Daisy Maphathe, Sandile Makhoba, Bantu, Dikelo Mamiala Credit: Ndiani Studios, Tenye Creates Genre: Drama, Horror, Thriller Running Time: 33 min Cert: 15 Trailer: Here. https://youtu.be/OyLYy2l3MR4 Instagram: @burnsandsong https://www.instagram.com/burnsandsong/ ------------ *(Music) 'Give The People' (Instrumental) by EPMD - 2020 --- Send in a voice message: https://podcasters.spotify.com/pod/show/eftv/message

Pokalbis apie čekų mąstytojo fenomenologo Jano Patočkos paieškas, kaip įmanomas filosofinis atsakas blogiui.Kokius svarbiausius šio mąstytojo gyvenimo riboženklius reikėtų žinoti, kad galėtume suprasti kaip filosofas gyveno, ko mokė ir kokius tekstus jis rašė? Kodėl J. Patočka jo biografiją bei kūrybą interpretavusių žmonių kartais vadinamas „Prahos Sokratu“?Kodėl „Prahos Sokratas“ labai kritiškai žvelgė į Vakarų sukurtą technologinę civilizaciją? Kokios aplinkybės lėmė J. Patočkos sprendimą prisidėti prie disidentų judėjimo „Chartija 77“ taip prisiimant didžiulę atsakomybę ir riziką?Kodėl pasiaukojimas yra viena iš svarbiausių J. Patočkos mokymo temų? Kaip reikia suprasti šio mąstytojo idėją, jog „pasiaukojimas dėl nieko“ padeda įveikti technologinį pasaulio supratimą ir atveria naujo santykio su tiesa ir Būtimi galimybę? Kaip ir kada galimas „pasiaukojimas dėl nieko“? Kokiu būdu pasiaukojimo veiksmas J.Patočkai siejosi su oponavimu sovietinės civilizacijos steigiamiems gyvenimo ir veikimo principams?Kaip reikėtų suprasti kitą J. Patočkos tezę, jog „autentiškas pasiaukojimas formuoja sukrėstųjų solidarumą“? Kas jo mokyme yra „sukrėstieji“? Apie kokį solidarumą šiuo atveju eina kalba?Kur lygtyje „pasiaukojimas = moralinis apsisprendimas“ yra vieta intelektualui? Ar pasiaukojimas kaip moralinis apsisprendimas J.Patočkos mokyme susijęs su politiniu veikimu?Kokius pavyzdžius iš XX a. Lietuvos visuomenės istorijos būtų galima paminėti, kuomet (galbūt) radosi sukrėstųjų solidarumas?Kaip bene svarbiausios J. Patočka idėjos apie tai, jog reikia gyventi tiesoje ir rūpintis siela, o taip pat – samprotavimas apie pasiaukojimo vertę ir prasmę, skamba XXI amžiaus žmogui, kuris, atrodo, jau pamiršo XX a. totalitarizmų paspęstus spąstus žmogaus sielai?Ar šis mąstytojas nėra pernelyg senamadiškas ir patetiškas hipsterio, gyvenančio liberalioje demokratijoje, požiūriu?Pokalbis su filosofu, Vilniaus universiteto Tarptautinių santykių ir politikos mokslų instituto dėstytoju dr. Simu Čelutka.Ved. Aurimas Švedas

Steve Silverman from WORLD GONE GOOD joins Steph, John & Dave to find the good in the Netflix original ATLAS!Big robots! AI Craziness! And the weight (and the future) of the world is all on J-Lo's back! It's the Netflix original, ATLAS!   Here's the rapid recap to catch you up!When Atlas (played by J-Lo) was a kid, her mom created an AI Lifeform named Harlan (Simu Liu). Initially programmed to not hurt humans, something goes wrong and Harlan goes AI bat shit as AI is wont to do in the movies! Determined to kill all humans, AI turn on their masters and a war between man and machine begins! Cut to 28 years later, and for some reason, Simu has gone into hiding and Atlas has become an analyst who refuses to let any form of AI into her life, in charge of finding Simu. But General Banks (Sterling  K. Brown) has a plan to take Rangers (people linked to AI Robots) and the war to Simu. Of course the fan hits the AI Powered crap, the plan goes side ways and it's up to Atlas and an AI robot named Smith with whom she refuses to work to save the world.WORLD GONE GOOD - Listen Here!Follow us onTwitter @CraptaculusInstagram @cinemacraptaculusIntro Music: "The Builder" - Kevin MacLeod (incompetech.com) | Licensed under Creative Commons: By Attribution 3.0 | http://creativecommons.org/licenses/by/3.0/

Amazing guests, unheard stories and fresh cuts. Just another day at The Shop. This week, Maverick Carter and Paul Rivera chop it up with an exceptional group: Simu Liu, Tobe Nwigwe, Baron Davis and Calvin Johnson. Simu talks about his unique journey from being an accountant to starring in one of Marvel's biggest films — establishing himself as a movie star. Tobe talks about his own experience in film, transitioning from football to music and his Nigerian upbringing. Baron breaks down being a multi-faceted creative, navigating his passions outside of basketball and his first-hand experience of “Linsanity.” Calvin discusses his legendary NFL career, his relationship with the Lions organization and the importance of having confidence instilled at a young age. The guys also dive into entrepreneurship, their personal businesses and much more. This is where culture shapes up. The Shop is presented by Grey Goose. In LeBron James' words...“Everything happens in The Shop.” The Sports Emmy Award-winning series The Shop is back for Season 7! Stay tuned for new episodes.

Kasmet po kelis milijonus, o pernai jau 10 mln. eurų. Tokią sumą darbdaviai turėjo išmokėti darbuotojams. Ir daugiausia tai – atlyginimai, kurių jie nesumokėjo. Bet teisybės žmonės ieško ne tik darbo ginčų komisijose. Gausu reklamų, kad neišmokėtus atlyginimus gali atgauti skolų išieškotojai.Kas vyksta su tuo darbo užmokesčiu Lietuvoje? Diskutuoja Antstolių revizijos komisijos pirmininkė Svetlana Kastanauskienė, skolų išieškojimo bendrovės „Conlex“ direktorius Donatas Juršys ir Darbo inspekcijos Darbo ginčų komisijų darbo organizavimo skyriaus vedėja Irina Janukevičienė.Ved. Irma Janauskaitė

durée : 00:07:53 - Un ghjornu, una canzona : Una fiara nova - Cio che no simu - "Ciò che no simu" o ciò chi ne ferma...

Tous nos magazines et nos offres d'abonnement : https://boutique.canardpc.com/Notre édition web sur abonnement : https://www.canardpc.com/Notre newsletter sur les nouvelles technologies : lepavenumerique.substack.com/about ► Twitch : https://www.twitch.tv/canardpc► Bluesky : https://bsky.app/profile/canardpc.com► X : https://twitter.com/Canardpcredac► Discord : https://discord.gg/nJJFe9r► Facebook : https://www.facebook.com/CanardPCmagazine► Instagram : https://www.instagram.com/canardpc/► Tiktok : @canardpcredac Tous droits réservés Presse Non-Stop / Canard PC. Aucun youtubeur n'a été maltraité pendant le tournage.

Kviečiame drauge su Alytaus policijos bendruomenės pareigūne Zita Sadauskiene ir AJC Jaunųjų žurnalistų kursų nariais Simu bei Gustu prisiminti svarbiausias saugaus eismo taisykles.

Simu Liu, star of “Barbie” and Marvel's “Shang-Chi and the Legend of the Ten Rings,” joins the show. Over soup dumplings and BBQ pork, Simu tells me why he initially kept acting as a secret from his parents , and how “Good Will Hunting” got him his superhero gig. This episode was recorded at The Formosa Cafe in West Hollywood, CA. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Su Alytaus jaunimo centro žurnalistų kursų nariais Milda, Taja, Simu, Eriku ir Gustu kalbame apie knygas, jų pasirinkimą, (ne)norą skaityti. Knyga - taip ar ne?

"Vaikų pasaulis mūsų pasaulyje": apie moksleivių žiemos forumą "Šikavonės beieškant", kuris jau sausį pirmą kartą vyks Alytuje, Dzūkijos sostinės moksleivių tarybos veiklas ir kitus smagius dalykus kalbame su Gabriele ir Simu!

We are running an end of year survey for our listeners! Please let us know any feedback you have, what episodes resonated with you, and guest requests for 2024! Survey link here!Before language models became all the rage in November 2022, image generation was the hottest space in AI (it was the subject of our first piece on Latent Space!) In our interview with Sharif Shameem from Lexica we talked through the launch of StableDiffusion and the early days of that space. At the time, the toolkit was still pretty rudimentary: Lexica made it easy to search images, you had the AUTOMATIC1111 Web UI to generate locally, some HuggingFace spaces that offered inference, and eventually DALL-E 2 through OpenAI's platform, but not much beyond basic text-to-image workflows.Today's guest, Suhail Doshi, is trying to solve this with Playground AI, an image editor reimagined with AI in mind. Some of the differences compared to traditional text-to-image workflows:* Real-time preview rendering using consistency: as you change your prompt, you can see changes in real-time before doing a final rendering of it.* Style filtering: rather than having to prompt exactly how you'd like an image to look, you can pick from a whole range of filters both from Playground's model as well as Stable Diffusion (like RealVis, Starlight XL, etc). We talk about this at 25:46 in the podcast.* Expand prompt: similar to DALL-E3, Playground will do some prompt tuning for you to get better results in generation. Unlike DALL-E3, you can turn this off at any time if you are a prompting wizard* Image editing: after generation, you have tools like a magic eraser, inpainting pencil, etc. This makes it easier to do a full workflow in Playground rather than switching to another tool like Photoshop.Outside of the product, they have also trained a new model from scratch, Playground v2, which is fully open source and open weights and allows for commercial usage. They benchmarked the model against SDXL across 1,000 prompts and found that humans preferred the Playground generation 70% of the time. They had similar results on PartiPrompts:They also created a new benchmark, MJHQ-30K, for “aesthetic quality”:We introduce a new benchmark, MJHQ-30K, for automatic evaluation of a model's aesthetic quality. The benchmark computes FID on a high-quality dataset to gauge aesthetic quality.We curate the high-quality dataset from Midjourney with 10 common categories, each category with 3K samples. Following common practice, we use aesthetic score and CLIP score to ensure high image quality and high image-text alignment. Furthermore, we take extra care to make the data diverse within each category.Suhail was pretty open with saying that Midjourney is currently the best product for imagine generation out there, and that's why they used it as the base for this benchmark. I think it's worth comparing yourself to maybe the best thing and try to find like a really fair way of doing that. So I think more people should try to do that. I definitely don't think you should be kind of comparing yourself on like some Google model or some old SD, Stable Diffusion model and be like, look, we beat Stable Diffusion 1.5. I think users ultimately want care, how close are you getting to the thing that people mostly agree with? [00:23:47]We also talked a lot about Suhail's founder journey from starting Mixpanel in 2009, then going through YC again with Mighty, and eventually sunsetting that to pivot into Playground. Enjoy!Show Notes* Suhail's Twitter* “Starting my road to learn AI”* Bill Gates book trip* Playground* Playground v2 Announcement* $40M raise announcement* “Running infra dev ops for 24 A100s”* Mixpanel* Mighty* “I decided to stop working on Mighty”* Fast.ai* CivitTimestamps* [00:00:00] Intros* [00:02:59] Being early in ML at Mixpanel* [00:04:16] Pivoting from Mighty to Playground and focusing on generative AI* [00:07:54] How DALL-E 2 inspired Mighty* [00:09:19] Reimagining the graphics editor with AI* [00:17:34] Training the Playground V2 model from scratch to advance generative graphics* [00:21:11] Techniques used to improve Playground V2 like data filtering and model tuning* [00:25:21] Releasing the MJHQ30K benchmark to evaluate generative models* [00:30:35] The limitations of current models for detailed image editing tasks* [00:34:06] Using post-generation user feedback to create better benchmarks* [00:38:28] Concerns over potential misuse of powerful generative models* [00:41:54] Rethinking the graphics editor user experience in the AI era* [00:45:44] Integrating consistency models into Playground using preview rendering* [00:47:23] Interacting with the Stable Diffusion LoRAs community* [00:51:35] Running DevOps on A100s* [00:53:12] Startup ideas?TranscriptAlessio: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO-in-Residence at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol AI. [00:00:15]Swyx: Hey, and today in the studio we have Suhail Doshi, welcome. [00:00:18]Suhail: Yeah, thanks. Thanks for having me. [00:00:20]Swyx: So among many things, you're a CEO and co-founder of Mixpanel, and I think about three years ago you left to start Mighty, and more recently, I think about a year ago, transitioned into Playground, and you've just announced your new round. How do you like to be introduced beyond that? [00:00:34]Suhail: Just founder of Playground is fine, yeah, prior co-founder and CEO of Mixpanel. [00:00:40]Swyx: Yeah, awesome. I'd just like to touch on Mixpanel a little bit, because it's obviously one of the more successful analytics companies we previously had amplitude on, and I'm curious if you had any reflections on the interaction of that amount of data that people would want to use for AI. I don't know if there's still a part of you that stays in touch with that world. [00:00:59]Suhail: Yeah, I mean, the short version is that maybe back in like 2015 or 2016, I don't really remember exactly, because it was a while ago, we had an ML team at Mixpanel, and I think this is when maybe deep learning or something really just started getting kind of exciting, and we were thinking that maybe given that we had such vast amounts of data, perhaps we could predict things. So we built two or three different features, I think we built a feature where we could predict whether users would churn from your product. We made a feature that could predict whether users would convert, we built a feature that could do anomaly detection, like if something occurred in your product, that was just very surprising, maybe a spike in traffic in a particular region, can we tell you that that happened? Because it's really hard to like know everything that's going on with your data, can we tell you something surprising about your data? And we tried all of these various features, most of it boiled down to just like, you know, using logistic regression, and it never quite seemed very groundbreaking in the end. And so I think, you know, we had a four or five person ML team, and I think we never expanded it from there. And I did all these Fast AI courses trying to learn about ML. And that was the- That's the first time you did fast AI. Yeah, that was the first time I did fast AI. Yeah, I think I've done it now three times, maybe. [00:02:12]Swyx: Oh, okay. [00:02:13]Suhail: I didn't know it was the third. No, no, just me reviewing it, it's maybe three times, but yeah. [00:02:16]Swyx: You mentioned prediction, but honestly, like it's also just about the feedback, right? The quality of feedback from users, I think it's useful for anyone building AI applications. [00:02:25]Suhail: Yeah. Yeah, I think I haven't spent a lot of time thinking about Mixpanel because it's been a long time, but sometimes I'm like, oh, I wonder what we could do now. And then I kind of like move on to whatever I'm working on, but things have changed significantly since. [00:02:39]Swyx: And then maybe we'll touch on Mighty a little bit. Mighty was very, very bold. My framing of it was, you will run our browsers for us because everyone has too many tabs open. I have too many tabs open and slowing down your machines that you can do it better for us in a centralized data center. [00:02:51]Suhail: Yeah, we were first trying to make a browser that we would stream from a data center to your computer at extremely low latency, but the real objective wasn't trying to make a browser or anything like that. The real objective was to try to make a new kind of computer. And the thought was just that like, you know, we have these computers in front of us today and we upgrade them or they run out of RAM or they don't have enough RAM or not enough disk or, you know, there's some limitation with our computers, perhaps like data locality is a problem. Why do I need to think about upgrading my computer ever? And so, you know, we just had to kind of observe that like, well, actually it seems like a lot of applications are just now in the browser, you know, it's like how many real desktop applications do we use relative to the number of applications we use in the browser? So it's just this realization that actually like, you know, the browser was effectively becoming more or less our operating system over time. And so then that's why we kind of decided to go, hmm, maybe we can stream the browser. Fortunately, the idea did not work for a couple of different reasons, but the objective is try to make sure new computer. [00:03:50]Swyx: Yeah, very, very bold. [00:03:51]Alessio: Yeah, and I was there at YC Demo Day when you first announced it. It was, I think, the last or one of the last in-person ones, at Pier34 in Mission Bay. How do you think about that now when everybody wants to put some of these models in people's machines and some of them want to stream them in, do you think there's maybe another wave of the same problem before it was like browser apps too slow, now it's like models too slow to run on device? [00:04:16]Suhail: Yeah. I mean, I've obviously pivoted away from Mighty, but a lot of what I somewhat believed at Mighty, maybe why I'm so excited about AI and what's happening, a lot of what Mighty was about was like moving compute somewhere else, right? Right now, applications, they get limited quantities of memory, disk, networking, whatever your home network has, et cetera. You know, what if these applications could somehow, if we could shift compute, and then these applications have vastly more compute than they do today. Right now it's just like client backend services, but you know, what if we could change the shape of how applications could interact with things? And it's changed my thinking. In some ways, AI has like a bit of a continuation of my belief that like perhaps we can really shift compute somewhere else. One of the problems with Mighty was that JavaScript is single-threaded in the browser. And what we learned, you know, the reason why we kind of abandoned Mighty was because I didn't believe we could make a new kind of computer. We could have made some kind of enterprise business, probably it could have made maybe a lot of money, but it wasn't going to be what I hoped it was going to be. And so once I realized that most of a web app is just going to be single-threaded JavaScript, then the only thing you could do largely withstanding changing JavaScript, which is a fool's errand most likely, make a better CPU, right? And there's like three CPU manufacturers, two of which sell, you know, big ones, you know, AMD, Intel, and then of course like Apple made the M1. And it's not like single-threaded CPU core performance, single-core performance was increasing very fast, it's plateauing rapidly. And even these different companies were not doing as good of a job, you know, sort of with the continuation of Moore's law. But what happened in AI was that you got like, if you think of the AI model as like a computer program, like just like a compiled computer program, it is literally built and designed to do massive parallel computations. And so if you could take like the universal approximation theorem to its like kind of logical complete point, you know, you're like, wow, I can get, make computation happen really rapidly and parallel somewhere else, you know, so you end up with these like really amazing models that can like do anything. It just turned out like perhaps the new kind of computer would just simply be shifted, you know, into these like really amazing AI models in reality. Yeah. [00:06:30]Swyx: Like I think Andrej Karpathy has always been, has been making a lot of analogies with the LLMOS. [00:06:34]Suhail: I saw his video and I watched that, you know, maybe two weeks ago or something like that. I was like, oh man, this, I very much resonate with this like idea. [00:06:41]Swyx: Why didn't I see this three years ago? [00:06:43]Suhail: Yeah. I think, I think there still will be, you know, local models and then there'll be these very large models that have to be run in data centers. I think it just depends on kind of like the right tool for the job, like any engineer would probably care about. But I think that, you know, by and large, like if the models continue to kind of keep getting bigger, you're always going to be wondering whether you should use the big thing or the small, you know, the tiny little model. And it might just depend on like, you know, do you need 30 FPS or 60 FPS? Maybe that would be hard to do, you know, over a network. [00:07:13]Swyx: You tackled a much harder problem latency wise than the AI models actually require. Yeah. [00:07:18]Suhail: Yeah. You can do quite well. You can do quite well. You definitely did 30 FPS video streaming, did very crazy things to make that work. So I'm actually quite bullish on the kinds of things you can do with networking. [00:07:30]Swyx: Maybe someday you'll come back to that at some point. But so for those that don't know, you're very transparent on Twitter. Very good to follow you just to learn your insights. And you actually published a postmortem on Mighty that people can read up on and willing to. So there was a bit of an overlap. You started exploring the AI stuff in June 2022, which is when you started saying like, I'm taking fast AI again. Maybe, was there more context around that? [00:07:54]Suhail: Yeah. I think I was kind of like waiting for the team at Mighty to finish up, you know, something. And I was like, okay, well, what can I do? I guess I will make some kind of like address bar predictor in the browser. So we had, you know, we had forked Chrome and Chromium. And I was like, you know, one thing that's kind of lame is that like this browser should be like a lot better at predicting what I might do, where I might want to go. It struck me as really odd that, you know, Chrome had very little AI actually or ML inside this browser. For a company like Google, you'd think there's a lot. Code is actually just very, you know, it's just a bunch of if then statements is more or less the address bar. So it seemed like a pretty big opportunity. And that's also where a lot of people interact with the browser. So, you know, long story short, I was like, hmm, I wonder what I could build here. So I started to take some AI courses and review the material again and get back to figuring it out. But I think that was somewhat serendipitous because right around April was, I think, a very big watershed moment in AI because that's when Dolly 2 came out. And I think that was the first truly big viral moment for generative AI. [00:08:59]Swyx: Because of the avocado chair. [00:09:01]Suhail: Yeah, exactly. [00:09:02]Swyx: It wasn't as big for me as Stable Diffusion. [00:09:04]Suhail: Really? [00:09:05]Swyx: Yeah, I don't know. Dolly was like, all right, that's cool. [00:09:07]Suhail: I don't know. Yeah. [00:09:09]Swyx: I mean, they had some flashy videos, but it didn't really register. [00:09:13]Suhail: That moment of images was just such a viral novel moment. I think it just blew people's mind. Yeah. [00:09:19]Swyx: I mean, it's the first time I encountered Sam Altman because they had this Dolly 2 hackathon and they opened up the OpenAI office for developers to walk in back when it wasn't as much of a security issue as it is today. I see. Maybe take us through the journey to decide to pivot into this and also choosing images. Obviously, you were inspired by Dolly, but there could be any number of AI companies and businesses that you could start and why this one, right? [00:09:45]Suhail: Yeah. So I think at that time, Mighty and OpenAI was not quite as popular as it is all of a sudden now these days, but back then they had a lot more bandwidth to kind of help anybody. And so we had been talking with the team there around trying to see if we could do really fast low latency address bar prediction with GPT-3 and 3.5 and that kind of thing. And so we were sort of figuring out how could we make that low latency. I think that just being able to talk to them and kind of being involved gave me a bird's eye view into a bunch of things that started to happen. Latency first was the Dolly 2 moment, but then stable diffusion came out and that was a big moment for me as well. And I remember just kind of like sitting up one night thinking, I was like, you know, what are the kinds of companies one could build? Like what matters right now? One thing that I observed is that I find a lot of inspiration when I'm working in a field in something and then I can identify a bunch of problems. Like for Mixpanel, I was an intern at a company and I just noticed that they were doing all this data analysis. And so I thought, hmm, I wonder if I could make a product and then maybe they would use it. And in this case, you know, the same thing kind of occurred. It was like, okay, there are a bunch of like infrastructure companies that put a model up and then you can use their API, like Replicate is a really good example of that. There are a bunch of companies that are like helping you with training, model optimization, Mosaic at the time, and probably still, you know, was doing stuff like that. So I just started listing out like every category of everything, of every company that was doing something interesting. I started listing out like weights and biases. I was like, oh man, weights and biases is like this great company. Do I want to compete with that company? I might be really good at competing with that company because of Mixpanel because it's so much of like analysis. But I was like, no, I don't want to do anything related to that. That would, I think that would be too boring now at this point. So I started to list out all these ideas and one thing I observed was that at OpenAI, they had like a playground for GPT-3, right? All it was is just like a text box more or less. And then there were some settings on the right, like temperature and whatever. [00:11:41]Swyx: Top K. [00:11:42]Suhail: Yeah, top K. You know, what's your end stop sequence? I mean, that was like their product before GPT, you know, really difficult to use, but fun if you're like an engineer. And I just noticed that their product kind of was evolving a little bit where the interface kind of was getting a little bit more complex. They had like a way where you could like generate something in the middle of a sentence and all those kinds of things. And I just thought to myself, I was like, everything is just like this text box and you generate something and that's about it. And stable diffusion had kind of come out and it was all like hugging face and code. Nobody was really building any UI. And so I had this kind of thing where I wrote prompt dash like question mark in my notes and I didn't know what was like the product for that at the time. I mean, it seems kind of trite now, but I just like wrote prompt. What's the thing for that? Manager. Prompt manager. Do you organize them? Like, do you like have a UI that can play with them? Yeah. Like a library. What would you make? And so then, of course, then you thought about what would the modalities be given that? How would you build a UI for each kind of modality? And so there are a couple of people working on some pretty cool things. And I basically chose graphics because it seemed like the most obvious place where you could build a really powerful, complex UI. That's not just only typing a box. It would very much evolve beyond that. Like what would be the best thing for something that's visual? Probably something visual. Yeah. I think that just that progression kind of happened and it just seemed like there was a lot of effort going into language, but not a lot of effort going into graphics. And then maybe the very last thing was, I think I was talking to Aditya Ramesh, who was the co-creator of DALL-E 2 and Sam. And I just kind of went to these guys and I was just like, hey, are you going to make like a UI for this thing? Like a true UI? Are you going to go for this? Are you going to make a product? For DALL-E. Yeah. For DALL-E. Yeah. Are you going to do anything here? Because if you are going to do it, just let me know and I will stop and I'll go do something else. But if you're not going to do anything, I'll just do it. And so we had a couple of conversations around what that would look like. And then I think ultimately they decided that they were going to focus on language primarily. And I just felt like it was going to be very underinvested in. Yes. [00:13:46]Swyx: There's that sort of underinvestment from OpenAI, but also it's a different type of customer than you're used to, presumably, you know, and Mixpanel is very good at selling to B2B and developers will figure on you or not. Yeah. Was that not a concern? [00:14:00]Suhail: Well, not so much because I think that, you know, right now I would say graphics is in this very nascent phase. Like most of the customers are just like hobbyists, right? Yeah. Like it's a little bit of like a novel toy as opposed to being this like very high utility thing. But I think ultimately, if you believe that you could make it very high utility, the probably the next customers will end up being B2B. It'll probably not be like a consumer. There will certainly be a variation of this idea that's in consumer. But if your quest is to kind of make like something that surpasses human ability for graphics, like ultimately it will end up being used for business. So I think it's maybe more of a progression. In fact, for me, it's maybe more like Mixpanel started out as SMB and then very much like ended up starting to grow up towards enterprise. So for me, I think it will be a very similar progression. But yeah, I mean, the reason why I was excited about it is because it was a creative tool. I make music and it's AI. It's like something that I know I could stay up till three o'clock in the morning doing. Those are kind of like very simple bars for me. [00:14:56]Alessio: So you mentioned Dolly, Stable Diffusion. You just had Playground V2 come out two days ago. Yeah, two days ago. [00:15:02]Suhail: Two days ago. [00:15:03]Alessio: This is a model you train completely from scratch. So it's not a cheap fine tune on something. You open source everything, including the weights. Why did you decide to do it? I know you supported Stable Diffusion XL in Playground before, right? Yep. What made you want to come up with V2 and maybe some of the interesting, you know, technical research work you've done? [00:15:24]Suhail: Yeah. So I think that we continue to feel like graphics and these foundation models for anything really related to pixels, but also definitely images continues to be very underinvested. It feels a little like graphics is in like this GPT-2 moment, right? Like even GPT-3, even when GPT-3 came out, it was exciting, but it was like, what are you going to use this for? Yeah, we'll do some text classification and some semantic analysis and maybe it'll sometimes like make a summary of something and it'll hallucinate. But no one really had like a very significant like business application for GPT-3. And in images, we're kind of stuck in the same place. We're kind of like, okay, I write this thing in a box and I get some cool piece of artwork and the hands are kind of messed up and sometimes the eyes are a little weird. Maybe I'll use it for a blog post, you know, that kind of thing. The utility feels so limited. And so, you know, and then we, you sort of look at Stable Diffusion and we definitely use that model in our product and our users like it and use it and love it and enjoy it, but it hasn't gone nearly far enough. So we were kind of faced with the choice of, you know, do we wait for progress to occur or do we make that progress happen? So yeah, we kind of embarked on a plan to just decide to go train these things from scratch. And I think the community has given us so much. The community for Stable Diffusion I think is one of the most vibrant communities on the internet. It's like amazing. It feels like, I hope this is what like Homebrew Club felt like when computers like showed up because it's like amazing what that community will do and it moves so fast. I've never seen anything in my life and heard other people's stories around this where an academic research paper comes out and then like two days later, someone has sample code for it. And then two days later, there's a model. And then two days later, it's like in nine products, you know, they're all competing with each other. It's incredible to see like math symbols on an academic paper go to well-designed features in a product. So I think the community has done so much. So I think we wanted to give back to the community kind of on our way. Certainly we would train a better model than what we gave out on Tuesday, but we definitely felt like there needs to be some kind of progress in these open source models. The last kind of milestone was in July when Stable Diffusion Excel came out, but there hasn't been anything really since. Right. [00:17:34]Swyx: And there's Excel Turbo now. [00:17:35]Suhail: Well, Excel Turbo is like this distilled model, right? So it's like lower quality, but fast. You have to decide, you know, what your trade off is there. [00:17:42]Swyx: It's also a consistency model. [00:17:43]Suhail: I don't think it's a consistency model. It's like it's they did like a different thing. Yeah. I think it's like, I don't want to get quoted for this, but it's like something called ad like adversarial or something. [00:17:52]Swyx: That's exactly right. [00:17:53]Suhail: I've read something about that. Maybe it's like closer to GANs or something, but I didn't really read the full paper. But yeah, there hasn't been quite enough progress in terms of, you know, there's no multitask image model. You know, the closest thing would be something called like EmuEdit, but there's no model for that. It's just a paper that's within meta. So we did that and we also gave out pre-trained weights, which is very rare. Usually you just get the aligned model and then you have to like see if you can do anything with it. So we actually gave out, there's like a 256 pixel pre-trained stage and a 512. And we did that for academic research because we come across people all the time in academia, they have access to like one A100 or eight at best. And so if we can give them kind of like a 512 pre-trained model, our hope is that there'll be interesting novel research that occurs from that. [00:18:38]Swyx: What research do you want to happen? [00:18:39]Suhail: I would love to see more research around things that users care about tend to be things like character consistency. [00:18:45]Swyx: Between frames? [00:18:46]Suhail: More like if you have like a face. Yeah, yeah. Basically between frames, but more just like, you know, you have your face and it's in one image and then you want it to be like in another. And users are very particular and sensitive to faces changing because we know we're trained on faces as humans. Not seeing a lot of innovation, enough innovation around multitask editing. You know, there are two things like instruct pics to pics and then the EmuEdit paper that are maybe very interesting, but we certainly are not pushing the fold on that in that regard. All kinds of things like around that rotation, you know, being able to keep coherence across images, style transfer is still very limited. Just even reasoning around images, you know, what's going on in an image, that kind of thing. Things are still very, very underpowered, very nascent. So therefore the utility is very, very limited. [00:19:32]Alessio: On the 1K Prompt Benchmark, you are 2.5x prefer to Stable Diffusion XL. How do you get there? Is it better images in the training corpus? Can you maybe talk through the improvements in the model? [00:19:44]Suhail: I think they're still very early on in the recipe, but I think it's a lot of like little things and you know, every now and then there are some big important things like certainly your data quality is really, really important. So we spend a lot of time thinking about that. But I would say it's a lot of things that you kind of clean up along the way as you train your model. Everything from captions to the data that you align with after pre-train to how you're picking your data sets, how you filter your data sets. I feel like there's a lot of work in AI that doesn't really feel like AI. It just really feels like just data set filtering and systems engineering and just like, you know, and the recipe is all there, but it's like a lot of extra work to do that. I think we plan to do a Playground V 2.1, maybe either by the end of the year or early next year. And we're just like watching what the community does with the model. And then we're just going to take a lot of the things that they're unhappy about and just like fix them. You know, so for example, like maybe the eyes of people in an image don't feel right. They feel like they're a little misshapen or they're kind of blurry feeling. That's something that we already know we want to fix. So I think in that case, it's going to be about data quality. Or maybe you want to improve the kind of the dynamic range of color. You know, we want to make sure that that's like got a good range in any image. So what technique can we use there? There's different things like offset noise, pyramid noise, terminal zero, SNR, like there are all these various interesting things that you can do. So I think it's like a lot of just like tricks. Some are tricks, some are data, and some is just like cleaning. [00:21:11]Swyx: Specifically for faces, it's very common to use a pipeline rather than just train the base model more. Do you have a strong belief either way on like, oh, they should be separated out to different stages for like improving the eyes, improving the face or enhance or whatever? Or do you think like it can all be done in one model? [00:21:28]Suhail: I think we will make a unified model. Yeah, I think it will. I think we'll certainly in the end, ultimately make a unified model. There's not enough research about this. Maybe there is something out there that we haven't read. There are some bottlenecks, like for example, in the VAE, like the VAEs are ultimately like compressing these things. And so you don't know. And then you might have like a big informational information bottleneck. So maybe you would use a pixel based model, perhaps. I think we've talked to people, everyone from like Rombach to various people, Rombach trained stable diffusion. I think there's like a big question around the architecture of these things. It's still kind of unknown, right? Like we've got transformers and we've got like a GPT architecture model, but then there's this like weird thing that's also seemingly working with diffusion. And so, you know, are we going to use vision transformers? Are we going to move to pixel based models? Is there a different kind of architecture? We don't really, I don't think there have been enough experiments. Still? Oh my God. [00:22:21]Swyx: Yeah. [00:22:22]Suhail: That's surprising. I think it's very computationally expensive to do a pipeline model where you're like fixing the eyes and you're fixing the mouth and you're fixing the hands. [00:22:29]Swyx: That's what everyone does as far as I understand. [00:22:31]Suhail: I'm not exactly sure what you mean, but if you mean like you get an image and then you will like make another model specifically to fix a face, that's fairly computationally expensive. And I think it's like not probably not the right way. Yeah. And it doesn't generalize very well. Now you have to pick all these different things. [00:22:45]Swyx: Yeah. You're just kind of glomming things on together. Yeah. Like when I look at AI artists, like that's what they do. [00:22:50]Suhail: Ah, yeah, yeah, yeah. They'll do things like, you know, I think a lot of ARs will do control net tiling to do kind of generative upscaling of all these different pieces of the image. Yeah. And I think these are all just like, they're all hacks ultimately in the end. I mean, it just to me, it's like, let's go back to where we were just three years, four years ago with where deep learning was at and where language was that, you know, it's the same thing. It's like we were like, okay, well, I'll just train these very narrow models to try to do these things and kind of ensemble them or pipeline them to try to get to a best in class result. And here we are with like where the models are gigantic and like very capable of solving huge amounts of tasks when given like lots of great data. [00:23:28]Alessio: You also released a new benchmark called MJHQ30K for automatic evaluation of a model's aesthetic quality. I have one question. The data set that you use for the benchmark is from Midjourney. Yes. You have 10 categories. How do you think about the Playground model, Midjourney, like, are you competitors? [00:23:47]Suhail: There are a lot of people, a lot of people in research, they like to compare themselves to something they know they can beat, right? Maybe this is the best reason why it can be helpful to not be a researcher also sometimes like I'm not trained as a researcher, I don't have a PhD in anything AI related, for example. But I think if you care about products and you care about your users, then the most important thing that you want to figure out is like everyone has to acknowledge that Midjourney is very good. They are the best at this thing. I'm happy to admit that. I have no problem admitting that. Just easy. It's very visual to tell. So I think it's incumbent on us to try to compare ourselves to the thing that's best, even if we lose, even if we're not the best. At some point, if we are able to surpass Midjourney, then we only have ourselves to compare ourselves to. But on First Blush, I think it's worth comparing yourself to maybe the best thing and try to find like a really fair way of doing that. So I think more people should try to do that. I definitely don't think you should be kind of comparing yourself on like some Google model or some old SD, Stable Diffusion model and be like, look, we beat Stable Diffusion 1.5. I think users ultimately want care, how close are you getting to the thing that people mostly agree with? So we put out that benchmark for no other reason to say like, this seems like a worthy thing for us to at least try, for people to try to get to. And then if we surpass it, great, we'll come up with another one. [00:25:06]Alessio: Yeah, no, that's awesome. And you killed Stable Diffusion Excel and everything. In the benchmark chart, it says Playground V2 1024 pixel dash aesthetic. Do you have kind of like, yeah, style fine tunes or like what's the dash aesthetic for? [00:25:21]Suhail: We debated this, maybe we named it wrong or something, but we were like, how do we help people realize the model that's aligned versus the models that weren't? Because we gave out pre-trained models, we didn't want people to like use those. So that's why they're called base. And then the aesthetic model, yeah, we wanted people to pick up the thing that makes things pretty. Who wouldn't want the thing that's aesthetic? But if there's a better name, we're definitely open to feedback. No, no, that's cool. [00:25:46]Alessio: I was using the product. You also have the style filter and you have all these different styles. And it seems like the styles are tied to the model. So there's some like SDXL styles, there's some Playground V2 styles. Can you maybe give listeners an overview of how that works? Because in language, there's not this idea of like style, right? Versus like in vision model, there is, and you cannot get certain styles in different [00:26:11]Suhail: models. [00:26:12]Alessio: So how do styles emerge and how do you categorize them and find them? [00:26:15]Suhail: Yeah, I mean, it's so fun having a community where people are just trying a model. Like it's only been two days for Playground V2. And we actually don't know what the model's capable of and not capable of. You know, we certainly see problems with it. But we have yet to see what emergent behavior is. I mean, we've just sort of discovered that it takes about like a week before you start to see like new things. I think like a lot of that style kind of emerges after that week, where you start to see, you know, there's some styles that are very like well known to us, like maybe like pixel art is a well known style. Photorealism is like another one that's like well known to us. But there are some styles that cannot be easily named. You know, it's not as simple as like, okay, that's an anime style. It's very visual. And in the end, you end up making up the name for what that style represents. And so the community kind of shapes itself around these different things. And so if anyone that's into stable diffusion and into building anything with graphics and stuff with these models, you know, you might have heard of like Proto Vision or Dream Shaper, some of these weird names, but they're just invented by these authors. But they have a sort of je ne sais quoi that, you know, appeals to users. [00:27:26]Swyx: Because it like roughly embeds to what you what you want. [00:27:29]Suhail: I guess so. I mean, it's like, you know, there's one of my favorite ones that's fine tuned. It's not made by us. It's called like Starlight XL. It's just this beautiful model. It's got really great color contrast and visual elements. And the users love it. I love it. And it's so hard. I think that's like a very big open question with graphics that I'm not totally sure how we'll solve. I don't know. It's, it's like an evolving situation too, because styles get boring, right? They get fatigued. Like it's like listening to the same style of pop song. I try to relate to graphics a little bit like with music, because I think it gives you a little bit of a different shape to things. Like it's not as if we just have pop music, rap music and country music, like all of these, like the EDM genre alone has like sub genres. And I think that's very true in graphics and painting and art and anything that we're doing. There's just these sub genres, even if we can't quite always name them. But I think they are emergent from the community, which is why we're so always happy to work with the community. [00:28:26]Swyx: That is a struggle. You know, coming back to this, like B2B versus B2C thing, B2C, you're going to have a huge amount of diversity and then it's going to reduce as you get towards more sort of B2B type use cases. I'm making this up here. So like you might be optimizing for a thing that you may eventually not need. [00:28:42]Suhail: Yeah, possibly. Yeah, possibly. I think like a simple thing with startups is that I worry sometimes by trying to be overly ambitious and like really scrutinizing like what something is in its most nascent phase that you miss the most ambitious thing you could have done. Like just having like very basic curiosity with something very small can like kind of lead you to something amazing. Like Einstein definitely did that. And then he like, you know, he basically won all the prizes and got everything he wanted and then basically did like kind of didn't really. He can dismiss quantum and then just kind of was still searching, you know, for the unifying theory. And he like had this quest. I think that happens a lot with like Nobel Prize people. I think there's like a term for it that I forget. I actually wanted to go after a toy almost intentionally so long as that I could see, I could imagine that it would lead to something very, very large later. Like I said, it's very hobbyist, but you need to start somewhere. You need to start with something that has a big gravitational pull, even if these hobbyists aren't likely to be the people that, you know, have a way to monetize it or whatever, even if they're, but they're doing it for fun. So there's something, something there that I think is really important. But I agree with you that, you know, in time we will absolutely focus on more utilitarian things like things that are more related to editing feats that are much harder. And so I think like a very simple use case is just, you know, I'm not a graphics designer. It seems like very simple that like you, if we could give you the ability to do really complex graphics without skill, wouldn't you want that? You know, like my wife the other day was set, you know, said, I wish Playground was better. When are you guys going to have a feature where like we could make my son, his name's Devin, smile when he was not smiling in the picture for the holiday card. Right. You know, just being able to highlight his, his mouth and just say like, make him smile. Like why can't we do that with like high fidelity and coherence, little things like that, all the way to putting you in completely different scenarios. [00:30:35]Swyx: Is that true? Can we not do that in painting? [00:30:37]Suhail: You can do in painting, but the quality is just so bad. Yeah. It's just really terrible quality. You know, it's like you'll do it five times and it'll still like kind of look like crooked or just artifact. Part of it's like, you know, the lips on the face, there's such little information there. So small that the models really struggle with it. Yeah. [00:30:55]Swyx: Make the picture smaller and you don't see it. That's my trick. I don't know. [00:30:59]Suhail: Yeah. Yeah. That's true. Or, you know, you could take that region and make it really big and then like say it's a mouth and then like shrink it. It feels like you're wrestling with it more than it's doing something that kind of surprises you. [00:31:12]Swyx: Yeah. It feels like you are very much the internal tastemaker, like you carry in your head this vision for what a good art model should look like. Do you find it hard to like communicate it to like your team and other people? Just because it's obviously it's hard to put into words like we just said. [00:31:26]Suhail: Yeah. It's very hard to explain. Images have such high bitrate compared to just words and we don't have enough words to describe these things. It's not terribly difficult. I think everyone on the team, if they don't have good kind of like judgment taste or like an eye for some of these things, they're like steadily building it because they have no choice. Right. So in that realm, I don't worry too much, actually. Like everyone is kind of like learning to get the eye is what I would call it. But I also have, you know, my own narrow taste. Like I don't represent the whole population either. [00:31:59]Swyx: When you benchmark models, you know, like this benchmark we're talking about, we use FID. Yeah. Input distance. OK. That's one measure. But like it doesn't capture anything you just said about smiles. [00:32:08]Suhail: Yeah. FID is generally a bad metric. It's good up to a point and then it kind of like is irrelevant. Yeah. [00:32:14]Swyx: And then so are there any other metrics that you like apart from vibes? I'm always looking for alternatives to vibes because vibes don't scale, you know. [00:32:22]Suhail: You know, it might be fun to kind of talk about this because it's actually kind of fresh. So up till now, we haven't needed to do a ton of like benchmarking because we hadn't trained our own model and now we have. So now what? What does that mean? How do we evaluate it? And, you know, we're kind of like living with the last 48, 72 hours of going, did the way that we benchmark actually succeed? [00:32:43]Swyx: Did it deliver? [00:32:44]Suhail: Right. You know, like I think Gemini just came out. They just put out a bunch of benchmarks. But all these benchmarks are just an approximation of how you think it's going to end up with real world performance. And I think that's like very fascinating to me. So if you fake that benchmark, you'll still end up in a really bad scenario at the end of the day. And so, you know, one of the benchmarks we did was we kind of curated like a thousand prompts. And I think that's kind of what we published in our blog post, you know, of all these tasks that we a lot of some of them are curated by our team where we know the models all suck at it. Like my favorite prompt that no model is really capable of is a horse riding an astronaut, the inverse one. And it's really, really hard to do. [00:33:22]Swyx: Not in data. [00:33:23]Suhail: You know, another one is like a giraffe underneath a microwave. How does that work? Right. There's so many of these little funny ones. We do. We have prompts that are just like misspellings of things. Yeah. We'll figure out if the models will figure it out. [00:33:36]Swyx: They should embed to the same space. [00:33:39]Suhail: Yeah. And just like all these very interesting weirdo things. And so we have so many of these and then we kind of like evaluate whether the models are any good at it. And the reality is that they're all bad at it. And so then you're just picking the most aesthetic image. We're still at the beginning of building like the best benchmark we can that aligns most with just user happiness, I think, because we're not we're not like putting these in papers and trying to like win, you know, I don't know, awards at ICCV or something if they have awards. You could. [00:34:05]Swyx: That's absolutely a valid strategy. [00:34:06]Suhail: Yeah, you could. But I don't think it could correlate necessarily with the impact we want to have on humanity. I think we're still evolving whatever our benchmarks are. So the first benchmark was just like very difficult tasks that we know the models are bad at. Can we come up with a thousand of these, whether they're hand rated and some of them are generated? And then can we ask the users, like, how do we do? And then we wanted to use a benchmark like party prompts. We mostly did that so people in academia could measure their models against ours versus others. But yeah, I mean, fit is pretty bad. And I think in terms of vibes, it's like you put out the model and then you try to see like what users make. And I think my sense is that we're going to take all the things that we notice that the users kind of were failing at and try to find like new ways to measure that, whether that's like a smile or, you know, color contrast or lighting. One benefit of Playground is that we have users making millions of images every single day. And so we can just ask them for like a post generation feedback. Yeah, we can just ask them. We can just say, like, how good was the lighting here? How was the subject? How was the background? [00:35:06]Swyx: Like a proper form of like, it's just like you make it, you come to our site, you make [00:35:10]Suhail: an image and then we say, and then maybe randomly you just say, hey, you know, like, how was the color and contrast of this image? And you say it was not very good, just tell us. So I think I think we can get like tens of thousands of these evaluations every single day to truly measure real world performance as opposed to just like benchmark performance. I would like to publish hopefully next year. I think we will try to publish a benchmark that anyone could use, that we evaluate ourselves on and that other people can, that we think does a good job of approximating real world performance because we've tried it and done it and noticed that it did. Yeah. I think we will do that. [00:35:45]Swyx: I personally have a few like categories that I consider special. You know, you know, you have like animals, art, fashion, food. There are some categories which I consider like a different tier of image. Top among them is text in images. How do you think about that? So one of the big wow moments for me, something I've been looking out for the entire year is just the progress of text and images. Like, can you write in an image? Yeah. And Ideogram came out recently, which had decent but not perfect text and images. Dolly3 had improved some and all they said in their paper was that they just included more text in the data set and it just worked. I was like, that's just lazy. But anyway, do you care about that? Because I don't see any of that in like your sample. Yeah, yeah. [00:36:27]Suhail: The V2 model was mostly focused on image quality versus like the feature of text synthesis. [00:36:33]Swyx: Well, as a business user, I care a lot about that. [00:36:35]Suhail: Yeah. Yeah. I'm very excited about text synthesis. And yeah, I think Ideogram has done a good job of maybe the best job. Dolly has like a hit rate. Yes. You know, like sometimes it's Egyptian letters. Yeah. I'm very excited about text synthesis. You know, I don't have much to say on it just yet. You know, you don't want just text effects. I think where this has to go is it has to be like you could like write little tiny pieces of text like on like a milk carton. That's maybe not even the focal point of a scene. I think that's like a very hard task that, you know, if you could do something like that, then there's a lot of other possibilities. Well, you don't have to zero shot it. [00:37:09]Swyx: You can just be like here and focus on this. [00:37:12]Suhail: Sure. Yeah, yeah. Definitely. Yeah. [00:37:16]Swyx: Yeah. So I think text synthesis would be very exciting. I'll also flag that Max Wolf, MiniMaxxier, which you must have come across his work. He's done a lot of stuff about using like logo masks that then map onto food and vegetables. And it looks like text, which can be pretty fun. [00:37:29]Suhail: That's the wonderful thing about like the open source community is that you get things like control net and then you see all these people do these just amazing things with control net. And then you wonder, I think from our point of view, we sort of go that that's really wonderful. But how do we end up with like a unified model that can do that? What are the bottlenecks? What are the issues? The community ultimately has very limited resources. And so they need these kinds of like workaround research ideas to get there. But yeah. [00:37:55]Swyx: Are techniques like control net portable to your architecture? [00:37:58]Suhail: Definitely. Yeah. We kept the Playground V2 exactly the same as SDXL. Not because not out of laziness, but just because we knew that the community already had tools. You know, all you have to do is maybe change a string in your code and then, you know, retrain a control net for it. So it was very intentional to do that. We didn't want to fragment the community with different architectures. Yeah. [00:38:16]Swyx: So basically, I'm going to go over three more categories. One is UIs, like app UIs, like mock UIs. Third is not safe for work, and then copyrighted stuff. I don't know if you care to comment on any of those. [00:38:28]Suhail: I think the NSFW kind of like safety stuff is really important. I kind of think that one of the biggest risks kind of going into maybe the U.S. election year will probably be very interrelated with like graphics, audio, video. I think it's going to be very hard to explain, you know, to a family relative who's not kind of in our world. And our world is like sometimes very, you know, we think it's very big, but it's very tiny compared to the rest of the world. Some people like there's still lots of humanity who have no idea what chat GPT is. And I think it's going to be very hard to explain, you know, to your uncle, aunt, whoever, you know, hey, I saw President Biden say this thing on a video, you know, I can't believe, you know, he said that. I think that's going to be a very troubling thing going into the world next year, the year after. [00:39:12]Swyx: That's more like a risk thing, like deepfakes, faking, political faking. But there's a lot of studies on how for most businesses, you don't want to train on not safe for work images, except that it makes you really good at bodies. [00:39:24]Suhail: Personally, we filter out NSFW type of images in our data set so that it's, you know, so our safety filter stuff doesn't have to work as hard. [00:39:32]Swyx: But you've heard this argument that not safe for work images are very good at human anatomy, which you do want to be good at. [00:39:38]Suhail: It's not like necessarily a bad thing to train on that data. It's more about like how you go and use it. That's why I was kind of talking about safety, you know, in part, because there are very terrible things that can happen in the world. If you have an extremely powerful graphics model, you know, suddenly like you can kind of imagine, you know, now if you can like generate nudes and then there's like you could do very character consistent things with faces, like what does that lead to? Yeah. And so I tend to think more what occurs after that, right? Even if you train on, let's say, you know, new data, if it does something to kind of help, there's nothing wrong with the human anatomy, it's very valid for a model to learn that. But then it's kind of like, how does that get used? And, you know, I won't bring up all of the very, very unsavory, terrible things that we see on a daily basis on the site, but I think it's more about what occurs. And so we, you know, we just recently did like a big sprint on safety. It's very difficult with graphics and art, right? Because there is tasteful art that has nudity, right? They're all over in museums, like, you know, there's very valid situations for that. And then there's the things that are the gray line of that, you know, what I might not find tasteful, someone might be like, that is completely tasteful, right? And then there are things that are way over the line. And then there are things that maybe you or, you know, maybe I would be okay with, but society isn't, you know? So where does that kind of end up on the spectrum of things? I think it's really hard with art. Sometimes even if you have like things that are not nude, if a child goes to your site, scrolls down some images, you know, classrooms of kids, you know, using our product, it's a really difficult problem. And it stretches mostly culture, society, politics, everything. [00:41:14]Alessio: Another favorite topic of our listeners is UX and AI. And I think you're probably one of the best all-inclusive editors for these things. So you don't just have the prompt, images come out, you pray, and now you do it again. First, you let people pick a seed so they can kind of have semi-repeatable generation. You also have, yeah, you can pick how many images and then you leave all of them in the canvas. And then you have kind of like this box, the generation box, and you can even cross between them and outpaint. There's all these things. How did you get here? You know, most people are kind of like, give me text, I give you image. You know, you're like, these are all the tools for you. [00:41:54]Suhail: Even though we were trying to make a graphics foundation model, I think we think that we're also trying to like re-imagine like what a graphics editor might look like given the change in technology. So, you know, I don't think we're trying to build Photoshop, but it's the only thing that we could say that people are largely familiar with. Oh, okay, there's Photoshop. What would Photoshop compare itself to pre-computer? I don't know, right? It's like, or kind of like a canvas, but you know, there's these menu options and you can use your mouse. What's a mouse? So I think that we're trying to re-imagine what a graphics editor might look like, not just for the fun of it, but because we kind of have no choice. Like there's this idea in image generation where you can generate images. That's like a super weird thing. What is that in Photoshop, right? You have to wait right now for the time being, but the wait is worth it often for a lot of people because they can't make that with their own skills. So I think it goes back to, you know, how we started the company, which was kind of looking at GPT-3's Playground, that the reason why we're named Playground is a homage to that actually. And, you know, it's like, shouldn't these products be more visual? These prompt boxes are like a terminal window, right? We're kind of at this weird point where it's just like MS-DOS. I remember my mom using MS-DOS and I memorized the keywords, like DIR, LS, all those things, right? It feels a little like we're there, right? Prompt engineering, parentheses to say beautiful or whatever, waits the word token more in the model or whatever. That's like super strange. I think a large portion of humanity would agree that that's not user-friendly, right? So how do we think about the products to be more user-friendly? Well, sure, you know, sure, it would be nice if I wanted to get rid of, like, the headphones on my head, you know, it'd be nice to mask it and then say, you know, can you remove the headphones? You know, if I want to grow, expand the image, you know, how can we make that feel easier without typing lots of words and being really confused? I don't even think we've nailed the UI UX yet. Part of that is because we're still experimenting. And part of that is because the model and the technology is going to get better. And whatever felt like the right UX six months ago is going to feel very broken now. So that's a little bit of how we got there is kind of saying, does everything have to be like a prompt in a box? Or can we do things that make it very intuitive for users? [00:44:03]Alessio: How do you decide what to give access to? So you have things like an expand prompt, which Dally 3 just does. It doesn't let you decide whether you should or not. [00:44:13]Swyx: As in, like, rewrites your prompts for you. [00:44:15]Suhail: Yeah, for that feature, I think once we get it to be cheaper, we'll probably just give it up. We'll probably just give it away. But we also decided something that might be a little bit different. We noticed that most of image generation is just, like, kind of casual. You know, it's in WhatsApp. It's, you know, it's in a Discord bot somewhere with Majorny. It's in ChatGPT. One of the differentiators I think we provide is at the expense of just lots of users necessarily. Mainstream consumers is that we provide as much, like, power and tweakability and configurability as possible. So the only reason why it's a toggle, because we know that users might want to use it and might not want to use it. There's some really powerful power user hobbyists that know what they're doing. And then there's a lot of people that just want something that looks cool, but they don't know how to prompt. And so I think a lot of Playground is more about going after that core user base that, like, knows, has a little bit more savviness and how to use these tools. You know, the average Dell user is probably not going to use ControlNet. They probably don't even know what that is. And so I think that, like, as the models get more powerful, as there's more tooling, hopefully you'll imagine a new sort of AI-first graphics editor that's just as, like, powerful and configurable as Photoshop. And you might have to master a new kind of tool. [00:45:28]Swyx: There's so many things I could go bounce off of. One, you mentioned about waiting. We have to kind of somewhat address the elephant in the room. Consistency models have been blowing up the past month. How do you think about integrating that? Obviously, there's a lot of other companies also trying to beat you to that space as well. [00:45:44]Suhail: I think we were the first company to integrate it. Ah, OK. [00:45:47]Swyx: Yeah. I didn't see your demo. [00:45:49]Suhail: Oops. Yeah, yeah. Well, we integrated it in a different way. OK. There are, like, 10 companies right now that have kind of tried to do, like, interactive editing, where you can, like, draw on the left side and then you get an image on the right side. We decided to kind of, like, wait and see whether there's, like, true utility on that. We have a different feature that's, like, unique in our product that is called preview rendering. And so you go to the product and you say, you know, we're like, what is the most common use case? The most common use case is you write a prompt and then you get an image. But what's the most annoying thing about that? The most annoying thing is, like, it feels like a slot machine, right? You're like, OK, I'm going to put it in and maybe I'll get something cool. So we did something that seemed a lot simpler, but a lot more relevant to how users already use these products, which is preview rendering. You toggle it on and it will show you a render of the image. And then graphics tools already have this. Like, if you use Cinema 4D or After Effects or something, it's called viewport rendering. And so we try to take something that exists in the real world that has familiarity and say, OK, you're going to get a rough sense of an early preview of this thing. And then when you're ready to generate, we're going to try to be as coherent about that image that you saw. That way, you're not spending so much time just like pulling down the slot machine lever. I think we were the first company to actually ship a quick LCM thing. Yeah, we were very excited about it. So we shipped it very quick. Yeah. [00:47:03]Swyx: Well, the demos I've been seeing, it's not like a preview necessarily. They're almost using it to animate their generations. Like, because you can kind of move shapes. [00:47:11]Suhail: Yeah, yeah, they're like doing it. They're animating it. But they're sort of showing, like, if I move a moon, you know, can I? [00:47:17]Swyx: I don't know. To me, it unlocks video in a way. [00:47:20]Suhail: Yeah. But the video models are already so much better than that. Yeah. [00:47:23]Swyx: There's another one, which I think is general ecosystem of Loras, right? Civit is obviously the most popular repository of Loras. How do you think about interacting with that ecosystem? [00:47:34]Suhail: The guy that did Lora, not the guy that invented Loras, but the person that brought Loras to Stable Diffusion actually works with us on some projects. His name is Simu. Shout out to Simu. And I think Loras are wonderful. Obviously, fine tuning all these Dreambooth models and such, it's just so heavy. And it's obvious in our conversation around styles and vibes, it's very hard to evaluate the artistry of these things. Loras give people this wonderful opportunity to create sub-genres of art. And I think they're amazing. Any graphics tool, any kind of thing that's expressing art has to provide some level of customization to its user base that goes beyond just typing Greg Rakowski in a prompt. We have to give more than that. It's not like users want to type these real artist names. It's that they don't know how else to get an image that looks interesting. They truly want originality and uniqueness. And I think Loras provide that. And they provide it in a very nice, scalable way. I hope that we find something even better than Loras in the long term, because there are still weaknesses to Loras, but I think they do a good job for now. Yeah. [00:48:39]Swyx: And so you would never compete with Civit? You would just kind of let people import? [00:48:43]Suhail: Civit's a site where all these things get kind of hosted by the community, right? And so, yeah, we'll often pull down some of the best things there. I think when we have a significantly better model, we will certainly build something that gets closer to that. Again, I go back to saying just I still think this is very nascent. Things are very underpowered, right? Loras are not easy to train. They're easy for an engineer. It sure would be nicer if I could just pick five or six reference images, right? And they might even be five or six different reference images that are not... They're just very different. They communicate a style, but they're actually like... It's like a mood board, right? And you have to be kind of an engineer almost to train these Loras or go to some site and be technically savvy, at least. It seems like it'd be much better if I could say, I love this style. Here are five images and you tell the model, like, this is what I want. And the model gives you something that's very aligned with what your style is, what you're talking about. And it's a style you couldn't even communicate, right? There's n

烏來區──新北市29個行政區之一。「烏來」一詞為原住民泰雅族用語，相傳三百年前泰雅族原住民勇士們發現此處有冒煙的熱水從河谷案隙間滾沸湧出，齊呼曰「ulay kilux」意指熱騰騰的溫泉。作為新北市最南端且面積最大的行政區，也是台灣分布最北的山地原住民區，位於水源保護區為南勢溪和桶後溪交流處，此處兩側山峰高聳，溪流蜿蜒而過，形成峻秀的山水奇景。 烏來除了溫泉、瀑布、台車和老街，還有鬼斧神工的天然地景，區內遍布峽谷地形，生態蓬勃多元；更別說春天賞櫻、夏夜追螢、與秋日楓紅，景緻四季變換看不膩，是很多人近郊小旅行的首選。 本次節目邀請原住民族族語推廣人員陳勝榮，與泰雅人文資深導覽員汪秀琴，用聲音帶你聽見新北市烏來區的泰雅底蘊，跟著裊裊山煙沉浸在泰雅族的生命故事，一同感受對家的歸屬與光榮感吧！ 主持人：趙自強 來賓：原住民族族語推廣人員 陳勝榮、泰雅人文資深導覽員 汪秀琴 製作團隊：天下實驗室 走進新北的山、海與巷弄，聽見29種在地生活，由新北市政府與天下實驗室共同響應，本節目為新北市政府廣告。 ＊點我聽更多新北的故事：https://www.cw.com.tw/feature/event/2023newtaipeicity

Barbie is a 2023 Fantasy Comedy directed by Greta Gerwig who has a fantastic acting career and has also directed Little Women and Lady Bird.  Barbie is the story of Barbie, played by Margot Robbie. She's living in Barbie land (Margot is ‘Stereotypical Barbie') with all the other Barbies and of course the Ken's. Mainly played by Ryan Gosling and Simu Liu. Oh, and Allan played by Michael Cera. But something goes wrong with Barbie, somethings not quite right, and after gaining some sage wisdom from another Barbie played by Kate Mackinnon, Barbie realizes she must travel into the real world to find the person playing with her. We also have America Ferrera and Will Ferrell in this film. See omnystudio.com/listener for privacy information.

Ripoti mpya iliyotolewa leo na shirika la Umoja wa Mataifa la elimu , sayansi na utamaduni UNESCO kuhusu ufuatiliaji wa teknolojia katika elimu GEM 2023 imetaka mifumo ya elimu kote duniani siku zote kuhakikisha kwamba matakwa ya wanaojifunza yanakuwa katika kitovu cha teknolojia na kwamba teknolojia zitumike kusaidia elimu inayotokana na mwingiliano wa binadamu badala ya kulenga kuwa mbadala wake. Ripoti hiyo mwaka 2023 ya GEM inashughulikia matumizi ya teknolojia katika elimu duniani kote kupitia muktadha wa umuhimu, usawa, uthabiti na uendelevu.UNESCO inasema teknolojia inabadilika haraka kuliko inavyowezekana kutathminiwa na bidhaa za teknolojia ya elimu hubadilika kila baada ya miezi 36, kwa wastani huku ushahidi mkubwa ukitoka katika nchi tajiri zaidi.Mathalani ripoti inasema “Nchini Uingereza, asilimia 7 ya makampuni ya teknolojia ya elimu yalikuwa yamefanya majaribio yaliyodhibitiwa bila mpangilio, na asilimia 12 yalikuwa yametumia uthibitishaji wa watu wengine. Pia utafiti uliofanywa kwa walimu na wasimamizi katika majimbo 17 ya Marekani ulmeonyesha kuwa ni asilimia 11 tu waliomba tathimini ya ushahidi kabla ya kupitishwa.Katika miaka 20 iliyopita, wanafunzi, waelimishaji na taasisi wamepitisha na kukumbatia kwa kiasi kikubwa zana za teknolojia ya kidijitali.Audrey Azoulay, mkurugenzi mkuu wa UNESCO anaonya kwamba  "Mapinduzi ya kidijitali yana uwezo usiopimika lakini, kama vile onyo ambavyo limekuwa likitolewa kuhusu jinsi yanavyopaswa kudhibitiwa katika jamii, tahadhari sawa lazima izingatiwe jinsi mapinduzi hayo yanavyotumiwa katika elimu. Matumizi yake lazima yawe kwa ajili ya uzoefu ulioimarishwa wa kujifunza na kwa ajili ya ustawi wa wanafunzi na walimu, si kwa madhara kwao. Matakwa ya mwanafunzi yawe kipaumbele cha kwanza na yawasaidie walimu. Kuunganishwa mtandaoni sio mbadala wa mwingiliano wa wanadamu.”Azoulay amesisitiza kuwa “Kutumia teknolojia kunaweza kuboresha baadhi ya aina za kujifunza katika baadhi ya miktadha. Ripoti hiyo inataja ushahidi unaoonyesha kuwa manufaa ya kujifunza hutoweka ikiwa teknolojia itatumiwa kupita kiasi au kutokuwepo kwa mwalimu aliyehitimu. Kwa mfano, kusambaza kompyuta kwa wanafunzi hakuboreshi hali ya kujifunza ikiwa walimu hawatahusika katika tajriba ya ufundishaji. Simu za rununu shuleni pia zimeonekana kuwa kero katika kujifunza, lakini ni chini ya robo ya nchi tu ndizo zimepiga marufuku matumizi ya simu hizo shuleni.”Duniani kote ripoti imesema idadi ya watu wanaotumia mtandao wa intaneti imeongezeka kutoka asilimia 16 mwaka 2005 hadi asilimia 66 mwaka 2022.

Norvegų antropologas Thomas Hylland Eriksen nukalė metaforą „perkaitęs pasaulis“ (angl. k. an overheated world), kuria nusakomas gyvenimas, kupinas skubėjimo, pervargimo, panikos priepuolių, baimės ir netikrumo dėl ateities, nesolidarumo, bandymų gelbėtis iš alinančių lenktynių pavieniui.Ar „Homo cultus“ laidų kūrėjai jaučia perkaitimo simptomus? Kaip įmanoma kovoti su šiais simptomais?Kiek pasaulio perkaitimo jausmą didina mūsų pomėgis apie savo gyvenimą pasakoti įvairiuose socialiniuose tinkluose, o vėliau – lyginti savąsias sėkmes su kitų žmonių pasiekimais? O kaip mus veikia „tobulų atostogų“ chimeros vaikymasis? Kiek tiesos teiginyje, jog gyvenantys didmiesčių gyventojai gali sulėtinti tempą tik pabėgę į gamtos prieglobstyje įsikūrusį vienkiemį arba kaimą?Kaip mes dažniausiai elgiamės su tais, kuriems „perkaitęs pasaulis“ tampa ne galimybių erdve, o egzistencine aklaviete? Ar mes pasiruošę priimti pralaimėjimą kaip integralią mūsų gyvenimo dalį?Pokalbis su „Homo cultus“ laidų kūrėjais Simu Čelutka, Jekaterina Lavrinec, Justu Dudėnu, Matu Šiupšinsku, Donatu Pusliu, besisvečiuojančiais „Istoriko teritorijoje“.Ved. Aurimas Švedas

Ryan Gosling and Simu Liu chat with iHeartRadio's Shannon Burns live on the Pink Carpet at the Barbie: The Movie 'Kenada' event. Ryan and Simu talk about how they think the film will be received, discuss gender stereotypes and show love to the incredible Greta Gerwig! Ryan Gosling gives us his thoughts on a Dead Man's Bones reunion, and Simu Liu and Shannon Chat about whether we'll finally hear him sing! #BarbieTheMovie #Kenada #SimuLiu #RyanGosling

Jumapili hii katika Makala Changu changu chako chako changu, ambapo leo nakuletea historia fupi ya bendi ya Lelele AfricA Music pamoja na shindano la filamu kwa kutumia simu linalofanyika Huko Misri, na kwenye le parler francopjhone tutaangazia kuhusu tamasha la Mombasa Ocean Festival lilioandaliwa kwa ushirkinao na Unbalozi wa Ufaransa nchini Kenya na Somalia, na kwenye Muziki nitakuletea mwanamuziki Afende Ready Kutoka hko Bukavu. kumbuka kutufollow pia kwa instagram @billy_bilali

This week in Asian American politics: King Charles is coronated. “Coronated” is such a foreign word to us that even typing it felt funny. Anyway, we discuss the implications of the surviving UK monarchy and the response from South Asian diaspora in context of Partition. Is the monarchy even relevant anymore? Or is it simply a relic of crusty crackerness?  Pew Research conducts a massive survey involving thousands of Asians over the course of nearly a year, while asking about if Asian Americans choose to actually identify ethnicity-first or how well we feel like we know our own history. We discuss this temperature check on Asian American identity in 2023. While still a minority, Asian American leaders are challenging the predominantly white and conservative image of evangelicalism. To be fair, someone in this article is for racial justice but implies they're against abortion, so don't expect leaps and bounds of connecting dots quite yet. We discuss the future of Christianity and where does Christianity play in regards to leftist politics. While like Steven Yeun famously said in B**F, “Western therapy doesn't work on Eastern minds.” Interestingly enough, it seems many Asian Americans already knew that, supplementing or flat out replacing talk therapy with good ole tai chi, yoga, and more. Aaron flexes how he's never had a wh*te therapist, while Gerrie discusses some of the Wh*te things their previous therapist would recommend. Lastly, we discuss the Asian American pop culture moment that is Simu Liu's ego. An article written by an Asian American pointed out that other Asian American men could have been in the upcoming Barbie movie, which at its worst could be construed as pitting Asian men against each other, but is mostly simply a fact: other Asian American men exist. However, Simu replies, prompting a response from a Tiktoker (who happens to be a previous guest on this pod! Shoutout cookie!) that comments on his inability to handle criticism, and Simu replies to THAT too.  -- WHAT'S POLITICALLY ASIAN PODCAST? Two Asians talking about politics and the Asian American community to get more Asians talking about politics! Join comedians Aaron Yin (he/him) and Gerrie Lim (they/them) for 45 minutes-ish each week as they discuss current topics and events related to Asian Americans through the lenses of history, class, and advocacy. Think John Oliver's show, but there's two of us, and we're Asian. -- CHECK US OUT ON SOCIAL MEDIA: Our memes are so good Asian people will mention them when they meet us in real life. Instagram: https://instagram.com/politicallyasianpodcast/ Twitter: https://twitter.com/politicasianpod Website: https://politicallyasianpodcast.com -- INQUIRIES: politicallyasianpodcast@gmail.com -- SUPPORT US ON BUY ME A COFFEE (currently fundraising for episode transcription services and a video editor): https://buymeacoffee.com/politicalasian -- MUSIC by Clueless Kit: https://soundcloud.com/cluelesskit Song title: live now -- ALGORITHM? Chinese American Politics, Korean American Politics, Japanese American Politics, South Asian politics, Asian American politics, AAPI politics, Asian American Political Alliance, Asian American leader, Asian American Protests 1960s, Asian American policy, Asian leftist, Asian American leftist, Asian American leftist podcast

JOE ALWYN FOREVER A WHO? OR NOW - NO LONGER MR. TAYLOR SWIFT - CAN HE ADVANCE TO THEMDOM? This is a question we're answering. (Or at least attempting to answer, earnestly.) Simu releases music immediately after we guessed he would. Blac Chyna is now Dr. Ang (so update your records), Rumer Willis poses pregnant for People (exclusively, #spon), William H. Macy experiences #treepain, Tori Spelling leaves her contacts in for 20 days, Prue Leith is "mobbed" in the USA, Mandy Moore is betrayed on Instagram stories, DeuxMoi does 25 Things, Aubrey O'Day wears half a pair of jean shorts! Plus, Olivia Culpo engaged, Casey Cott Clear Blue'd and Rita has a potential #1 hit. Seriously. Call in at 619.WHO.THEM to leave questions, comments & concerns for a future episode of Who's There. Support us and get a TON of bonus content over on Patreon.com/WhoWeekly. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

This episode is sponsored by BetterHelp! Go to https://www.BetterHelp.com/GENIUS for 10% OFF your first month! Follow David on Insta: @DavidSoComedy Don't forget to subscribe to the podcast for free wherever you're listening or by using this link: https://bit.ly/GeniusBrainPod To watch the podcast on YouTube: https://bit.ly/GeniusBrainYouTube If you like the show, telling a friend about it would be amazing! You can text, email, Tweet, or send this link to a friend: https://bit.ly/GeniusBrainPod Learn more about your ad choices. Visit podcastchoices.com/adchoices

It's the first ever Rom Com Rewind Fantasy Draft!!  Here's how it works: Sarah and I are each going to draft 5 upcoming romantic comedies that SHOULD be released in 2023, we will have these romantic comedies on our 'Rom Com Fantasy Team'. When these films are released, we will take the Rotten Tomatoes critic score, audience score and that is the overall score of said film. Whoever has the higher scoring team of Romantic Comedies at the end of the year wins. The reason we love this: We thought this could help YOU with what is coming out this year that you should know about, what are the films you should have on your list for 2023 to watch out for. We also have a loose roadmap for the Podcast of new things to have on the agenda... and selfishly if one of us has that rom com on our team we will want to watch it to see how well your team is performing. Sarah's Team: Barbie Maybe I Do Irish Wish Shotgun Wedding Red, White and Royal Blue   Devin's Team: Magic Mike's Last Dance Your Place or Mine You People Ghosted Legally Blonde 3See omnystudio.com/listener for privacy information.

HIDDEN LETTERS explores the saga of women in China as it pertains to their history of being forced into oppressive marriages as well as forbidden to read or write by their households for thousands of years. To cope, they developed and shared a secret language among themselves called Nushu. Written in poems or songs with bamboo pens on paper-folded fans and handkerchiefs, these hidden letters bonded generations of Chinese women in a clandestine support system of sisterhood, hope and survival. Spanning between past and present, from sunken rice fields and rural villages to bustling metropolitan cities, HIDDEN LETTERS follows two millennial Chinese women who are connected by their fascination with Nushu and their desire to protect its legacy. In Jiangyong, Hu Xin works as a Nushu museum guide and aspires to master the ancient script following the breakup of her marriage. In Shanghai, Simu is passionate about music and Nushu, but marital expectations threaten to end her pursuit of both. Influenced by Nushu's legacy of female solidarity, the two women struggle to find balance as they forge their own paths in a patriarchal culture steeped in female subservience to men. Director Violet DuFeng (Please Remember Me, Dear Mother) joins us for an enlightening conversation on the history of Nushu, the pressure that was and continues to be brought down on the women who have carried the torch of this specialized language and the unbreakable bonds its usage has forged, generation upon generation. For more go to: cargofilm-releasing.com/hidden-letters To watch go to: hiddenlettersfilm.com

  Vidcast:  https://youtu.be/nAgEK4zs9ig   The CPSC and SIMU are recalling SIMU DMI6 Hz motors sold with powered  awnings and shutters.  The cables connecting to these motors may unpredictably disconnect if the awnings or shutters are opened or closed manually creating electric shocks and electrocutions.  About 13,800 of these motors were sold in the US, and about 12 were sold in Canada.  If you have one of these motors installed, stop using the manual override feature unless the motor is connected to a GFCI (Group Fault Circuit Interrupter) circuit or to a circuit breaker.  Contact SIMI at 1-855-944-5598 for assistance in identifying if your units are included in the recall and to arrange for a free inspection and motor replacement.   https://www.cpsc.gov/Recalls/2023/SIMU-Recalls-Motors-Sold-with-Awnings-and-Shutters-Due-to-Shock-and-Electrocution-Hazards   #simu #motor #awning #shade #shock #electrocution #recall  

Salum Mardhiya ni mmoja ya watu maarufu sana kwenye visiwa vya marashi ya karafuu yaani kule kwetu Zanzibar. Ni mmoja ya waalimu hodari anayeongoza kwa kutoa Da'wa kwa watu ambao wanasumbuliwa na matatizo mbali mbali. Kwenye nyumba karibu zote wanamfahamu maana huonekana mara kwa mara kwenye maeneo mbali mbali ili kusaidia wale ambao wanahitaji kisomo chake. Binafsi nilifahamiana nae kupitia rafiki ambae alinitambulisha kwake mapema mwaka huu, tena haikua imepangwa wala, alikuja sehemu ambayo mie nilikuwepo kuja kupata chai na mimi bahati nzuri nilikua maeneo hayo so mtu akatutambulisha, na akaambiwa kama Mama yangu ni mgonjwa yuko hospitali na yeye akasema basi atakuja baadae kwaajili ya kumuombea dua, na jioni akatokea. Oh kama angependa kujua hali ya Mama yangu Alhamdulillah yuko vizuri. Tunamshkuru Mungu. Kwa mujibu wa story za hapa na pale niliambiwa nilikua na bahati sana kumpata maana ratiba yake ya kutoa Da'wa ni tight sana na watu ni wengi wanaohitaji huduma zake ila muda anakua hautoshi wa kumtilia Dua kila mtu ingawa angependa kufanya hivyo, kwahiyo ilikua kama bahati sisi kukutana na kuanzia hapo tukaanza kuwa tunaonana kwa kiasi. Nikaona si vibaya kama nitamleta kwenye meza yetu ili na sisi tuweze kumfahamu zaidi. Wakati namuambia kuhusu mualiko wa kuja kwenye kiti chetu chakavu hakua na hiyana, aliangalia ratiba yake na akaniambia hiyo tarehe atakuwepo nchini. Sheikh Mardhiya yeye huwa anasafiri sana, Da'wa zake huzitoa sehemu tofauti tofauti duniani, mara nyingi anakua zake Arabuni, mitaa ya Oman na Dubai na Abu Dhabi huwepo sana, kashatibu watu wa aina tele kwenye maisha yake. Kuanzia marajiri mpaka maskini, ambao walikua na imani na anachofanya na ambao hawakua na imani nae. Simu yake huita mara kwa mara na hiyo ni moja ya sababu za yeye kuwa na namba zaidi ya moja na kuwa na wasaidizi kadhaa. So huku kwenye kutoa Da'wa alifikaje? Hii ilikua ndo mwanzo wa maongezi yetu haya. Akiwa kama kijana ambaye angeweza pengine kufanya kazi ya aina yoyote na kujipatia rizki yake, kwanini alichagua hii? Kaniambia tokea akiwa na umri wa miaka sita, alianza kupata upeo huo, bila hata yeye mwenyewe kujua ni nini hasa kilikua kinaendelea katika maisha yake, anakumbuka pia jinsi alivyokua anazimia na kupata uwezo wa kuwasomea walokua wanahitaji kisomo chake na wanakua poa kabisa, anasema hata hakumbuki alikua anawasomea nini baadhi yao ila sasa baada ya kuwa mtu mzima na kupata kuijua vizuri Quran Tukufu ndo anang'amua nini alikua anawasomea watu ule. Mwanzo nilisema Mardhiya ni kijana kwahiyo kwa kiasi kikubwa ana style ya maisha ambayo vijana wengi wangependa kuwa nayo ila uwezo nayo hawana. Kama kuwa na maisha ya kifahari, magari mazuri na mke zaidi ya mmoja, pesa nyingi na nyumba nzuri zaidi ya moja na kusafiri mara kwa mara. Hii kwa ki aina flani imekua ikileta maneno na maswali kuhusu uhalali wa ambacho anafanya au ambacho amekua akifanya. Je maneno hayo yanamzui yeye kufanya ambacho anafanya kwa watu wenye uhitaji? Au kubadilisha aina ya maisha ambayo anaishi? Tumeongea kuhusu masuala ya Husda na wivu, usafi na mmoja kuamua kujipenda zaidi. Je kuna makosa kwenye baadhi ya matamanio ya nafsi zetu? Vipi kuhusu Sadaka? Inatakiwa itolewe ki namna gani? Ipi ni sawa na ipi si sawa? Ipi ni dhambi na ipi ni nzuri ili kuweza kuwafanya na wengine watamani kutoa? Vipi kuhusu Heshima kwa kila mmoja? Wazazi? Nafasi ya Wanawake? Kuhusu imani na uchawi kwa ambacho yeye anafanya? Mmoja anaweza kujuaje kama hii ni kufuru na hii ni sawa? Maswali yalikua mengi na majibu pia yalikua yanatoka kutokana na swali lilivyo ulizwa, yangu matumaini elimu ambayo Mimi nimeipata na kwako itakua vivyo hivyo. Tafadhali Enjoy, Love, Salama. --- Support this podcast: https://anchor.fm/yahstonetown/support

Jeshi la polisi lina wahamasisha wa Australia watumie namba ya (000) kwa dharura tu, na wawasiliene na polisi kwa matukio mengine yasiyo ya dharura kupitia namba zingine za huduma.

The Fangirls must wrap their heads around the idea that Marvel superstar Simu Liu knows they exist and just *might* be listening. They definitely keep their cool. Definitely do not act like crazy people. Not in the least.Email us @ theincoherentfangirl@gmail.comVisit our website @ https://theincoherentfangirl.comFollow us on social media!Facebook: https://www.facebook.com/theincoherentfangirlInstagram: https://www.instagram.com/theincoherentfangirlTikTok: https://www.tiktok.com/@theincoherentfangirlTwitter: https://twitter.com/incoherentgirlsYouTube: https://www.youtube.com/channel/UCPPCbwukD0np1WOs0Pfm0AAMandy is @mandypurv on all the things.Karin is @msmadeinchina on all the things.Visit our internet besties!Here Comes the Nerd @ http://herecomesthenerd.com== use code FANGIRL for 20% off your first order ==Once Upon A Book Club @ https://www.onceuponabookclub.com== use code MANDY10 for 10% off your order ==NovelTea Chest @ https://www.novelteachest.com== use code FANGIRL5 for 5% off your monthly subscription ==Grimoire Tea @ https://www.grimoiretea.com== use code FANGRLTEA for 10% off your order ==Support the show

For the first time in years, the Ladies packed up for a road trip and headed out to spend a weekend not thinking about... well, everything. After an incredibly tasty stop at Wahpepah's Kitchen in Oakland, we went to Berkeley, California to see Simu Liu (and some guy named Jeremy Lin- apparently a big deal if you like basketball) discuss "We Were Dreamers: An Immigrant Superhero Origin Story", Simu's new book.

For the first time in years, the Ladies packed up for a road trip and headed out to spend a weekend not thinking about... well, everything. After an incredibly tasty stop at Wahpepah's Kitchen in Oakland, we went to Berkeley, California to see Simu Liu (and some guy named Jeremy Lin- apparently a big deal if you like basketball) discuss "We Were Dreamers: An Immigrant Superhero Origin Story", Simu's new book.

Welcome back to the Wave - the weekly news and chat show from Bottom of the Stream. We round up all the weeks talking points from the world of streaming and movies including a new Netflix strategy; a Macaulay Culkin comeback and Simu Liu's personal grooming choices! We also check in on another edition of Reel Talk and talk famous Australians!   Please consider supporting the show on Patreon, If you do we will give you lots of bonus content including early access to the episodes. Check it out over at www.patreon.com/bottomofthestream   We also have a discord so join us to hang out https://discord.gg/wJ3Bfqt

We're back, baby! And I thought I'd open this new season with a bona fide SUPERHERO. Because that's just how we roll.My guest today is Simu Liu - the first Asian superhero in the Marvel cinematic universe and the star of the 2019 movie Shang-Chi and the Legend of the Ten Rings. He also appeared in season 4 of Selling Sunset, where Chrishell tried to sell him a house (arguably the real achievement, amirite?). Simu was born in China. His parents were products of Mao's Cultural Revolution and ended up emigrating to Canada. Simu was raised by his grandparents for the first four years of his life before being taken to Canada, where he couldn't speak the language. It was an early lesson in resilience - one he would never forget.Simu joins me to talk about this, as well as his failed accountancy career, a formative heartbreak and failing to get a part in Crazy Rich Asians. Along the way we discuss 'the white gaze' and marginalisation in Hollywood, the dark days of his adolescence when he rebelled against his parents restrictive (and sometimes abusive) behaviour and...well, menstruation. Plus: how he's still friends with Chrishell and what it's like filming Greta Gerwig's Barbie.I adored our conversation because Simu came so willing to own every single one of his failures. His experience of heartbreak from a straight, male perspective was fascinating to me. And he's so smart I could just listen to him for days.--Simu's memoir, We Were Dreamers, is published next week! Pre-order it here: https://www.waterstones.com/book/we-were-dreamers/simu-liu/9780008546472--How To Fail With Elizabeth Day is hosted by Elizabeth Day, produced by Naomi Mantin and Chris Sharp. To contact us, email howtofailpod@gmail.com---Social Media:Elizabeth Day @elizabdayHow To Fail @howtofailpod Simu Liu @simuliu

19/04/2022 - Le RPOD - Au sommaire de cet édito du 19 Avril : Formule 1 : HAMILTON dans le simulateur Mercedes pour aider son équipe !

This week's episode of The Godfathers of Podcasting is brought to you by Oates of Wham! (You'll get it once you tune in.)This week, Donnie, Tid and Dan-e-o discuss appropriate attire for cold weather (“Run the bundlaz!”), the recent Tiffany performance where she cussed her fans out, 80s song lyrics the boys are embarrassed to remember and the new “Get Back” documentary on Disney + showcasing The Beatles.The boys then welcome actor, writer, director and comedian, Rodrigo Fernandez-Stoll to the show. He discusses his favourite high school teacher and inspiration to become an actor, learning about subliminal messages in music as a former student of Donnie's, playing Enrique on “Kim's Convenience”, being a big “Venom” fan in spite of the last movie, his upcoming appearance on “Ghosts” and his upcoming comedy show in Toronto!Check out this week's episode now!

This week the Fan Girls dish and spill the tea about the blockbuster Marvel film, Shang-Chi. Fan Girl Spotlight of the WeekReggie Arnold photographyThis husband and wife team currently serves southern California and is here for all of your wedding and special events needs! Reggie Arnold photography also does family and maternity sessions, and with the holidays upon us, I highly recommend you book now! (Julie testimonial) you can find Reggie Arnold photography on IG @reggiearnoldphotography as well as their website at reggiearnoldphotography.com We are so excited to have launched our Etsy Store that has a variety of custom-made digital downloads designed by yours truly. We are offering 10% off our Etsy store with the code FANGIRL. The link to our store and all the info will be in the show notes.https://www.etsy.com/shop/TheFanGirlsPodcastThe Fan Girls Podcast is brought to you by BLEAV Podcast network. We want to take a moment and thank you for tuning into our podcast. If you like what you hear, please leave us a five-star review on apple podcasts so we can reach more people. Thanks so much!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hey all! Join us for today's episode where Alina and Zoe talk about all things Marvel, superhero, Shang-Chi, and inclusive Asian representation in media related. We discuss limited South-Asian representation in media, as well as misrepresentation of East-Asians in media. The two talk about how limited Asian representation as superheroes, main characters, or love-interests impacted their perception of themselves. *note: this episode was recorded prior to the controversy surrounding Simu Liu occurred over twitter and media, so take what we say with a grain of salt regarding Simu himself! Colonize This: Instagram: @colonizethispod Twitter: @colonizethispod Anchor: https://anchor.fm/colonizethis/ Youtube: https://www.youtube.com/channel/UCu9WoJZLgHOcrSxrgd-thaw --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

We shift gears this week to review Marvel's Shang-Chi and the Legend of the Ten Rings, starring Simu Liu, Awkwafina, and Tony Leung. Simu plays Shang-Chi, a trained assassin and martial arts master trying to live his new life away from his father and the terrorist group he founded. But he's in for the family reunion of a lifetime in an epic story of reluctant heritage, dragons, and darkness. Tune in to hear our poetic summaries of the story, our favorite (and least favorite) moments, and give our final grade so you know if it's time to break out the popcorn and candy. Spoiler alert: we needed the entire episode to give this film the praise it deserves. And once you listen...do you agree or disagree with our ratings? How many rings out of ten would you rate this film? Tell us all about it on our Twitter page, @TheVerseCast where we also post news, announcements about the pod, and collect listener questions. You can also follow @Screenradar on Twitter, Facebook, & Instagram. SHOW BREAKDOWN: 0:00 - Intro // 1:00 Shang-Chi Description and Limericks //6:30 Shang-Chi Discussion // 56:40 Final Rating // 59:23 Contact Info // 61:12 - Post Credit Scene

What does "little mouse" and "cereal" or "trade" and "shower" have in common?  The word pairs sound very similar in Bärndütsch!  After discussing strategies to overcome like-sounding words, Simu and I translate cleverly worded advertisements from Bernmobile.The skill level for today's episode is A2 (CEFR) or Novice high (ACTFL Guidelines).Words and phrases in MundartWord pairstuusche (trade/swap)Dusche (shower)Müsli (little mouse)Müesli (cereal)Bernmobile advertisementsDu bisch z spät dranne, mir gäbe dr e UsredLink to the ad: https://www.facebook.com/polyconsult/photos/3912802722067254Du wosch ids Grüene, mir fahre di im Rote. Link to the ad: https://www.facebook.com/polyconsult/photos/3912802498733943More information about language learning: ACTFL Guildelines for the Novice level:https://tinyurl.com/actflguidelinespdfCEFR Guidelines: https://tinyurl.com/cefrguidelinesWe'd love to hear about your journey in learning a new language! Share your experience: website: https://www.acquireforlife.com/learnbernese twitter: https://twitter.com/acquireforlife instagram: https://www.instagram.com/acquireforlife facebook: https://www.facebook.com/learnbernese Love the Soundtracks in this podcast?  Get a free trial at Epidemic Sound! https://www.epidemicsound.com/referral/veiier/ Check out Fusebox's awesome podcast player.https://fusebox.fm/?lmref=Z1HsxQ Host your podcast with Buzzsprout and we both get a $20 gift card for Amazon! https://www.buzzsprout.com/?referrer_id=1032716

This week's show was off the rails in the best way! Multitalented creative and twitter provocateur, CashTF, joined Joe and JG this week. They discussed Loki episode 3, Cash's relentless defense of the DCEU, Fast 9 (non-spoiler), Joe and JG getting the X Box Series S, trailers for Shang-Chi & The Legend of The Ten Rings, The Suicide Squad, Snake Eyes: GI Joe Origins and Candyman, the possible Ghost of Tsushima standalone expansion, Transformers doing a Beast Wars movie, listener feedback, and PLENTY more nonsense in between.Be sure to follow, rate, review and tell a friend to tell a friend!Joe's Socials: Twitter-@VI_Otaku JG's Socials: Twitter-@JayGJ Cash TF' s Socials: Twitter- @TFECash TNWA Facebook Page https://facebook.com/TNWAP TNWA Twitter https://twitter.com/TNWAPod TNWA Site https://thenerdswithaccents.podomatic.com/

In this episode, Simu suggests I take up joining a knitting club, I embarass myself writing and speaking Bärndütsch, all while speaking Bernese German in Switzerland. The skill level for this task is novice-mid according to the ACTFL proficiency guidlines. Content includes:- How to send a text message telling someone that you will be late.  (However, don't be late for -anything- in the land of cheese and money!). - The 19 verbs related to hobbies from episode 5.- Simu and I role play various questions and responses when asking if someone enjoys something.- Additional dialogue for giving reasons why you like something.The main sentences used.1. "Do you enjoy X?"- «Tuesch (du) gärn X » 2. "Do you like X or X?"-  «Tuesch lieber X oder X?»3. "Yes, I like X."- «Ja, I tue gärn X.»4.  "No, I don't like X"- «Nei, I tue nid gärn X»5. What do like doing more? X or X?- «Was machsch lieber? X oder X?»The dialogue using the sentences will be separately released starting tomorrow so that you can learn them.To learn about how to use these Bärndütsch dialogues to further your ability to understand and use these numbers in daily life, be sure to check out episodes 1 and 2.More information about language learning: ACTFL Guildelines for the Novice level:https://tinyurl.com/actflguidelinespdfCEFR Guidelines: https://tinyurl.com/cefrguidelinesWe'd love to hear about your journey in learning a new language! Share your experience: website: https://www.acquireforlife.com/learnbernese twitter: https://twitter.com/acquireforlife instagram: https://www.instagram.com/acquireforlife facebook: https://www.facebook.com/learnbernese Love the Soundtracks in this podcast?  Get a free trial at Epidemic Sound! https://www.epidemicsound.com/referral/veiier/ Check out Fusebox's awesome podcast player.https://fusebox.fm/?lmref=Z1HsxQ Host your podcast with Buzzsprout and we both get a $20 gift card for Amazon! https://www.buzzsprout.com/?referrer_id=1032716

The skill level for this Bernese Swiss German dialogue is novice-mid.Vocabulary*11. klavier spile (play piano)12. läse (read)13. zeichne (draw)14. male (paint)15. lisme (knit)16. gärtnere (garden)17. iz Fitness (exercise)18. spörtle (play sports)19. schutte (play soccor)*note that all these words are verbs.For more information about these verbs in Bärndütsch, listen to episode #5.  In that episode, Simu shares some of his favourite hobbies in Bern Switzerland, more recent fads, and even a little bit about his time in the Swiss military.To learn about how to use these Bärndütsch dialogues to further your ability to understand and use these words in daily life, be sure to check out episodes 1 and 2.More information about language learning: ACTFL Guildelines for the Novice level:https://tinyurl.com/actflguidelinespdfCEFR Guidelines: https://tinyurl.com/cefrguidelinesWe'd love to hear about your journey in learning a new language! Share your experience: website: https://www.acquireforlife.com/learnbernese twitter: https://twitter.com/acquireforlife instagram: https://www.instagram.com/acquireforlife facebook: https://www.facebook.com/learnbernese Love the Soundtracks in this podcast?  Get a free trial at Epidemic Sound! https://www.epidemicsound.com/referral/veiier/ Check out Fusebox's awesome podcast player.https://fusebox.fm/?lmref=Z1HsxQ Host your podcast with Buzzsprout and we both get a $20 gift card for Amazon! https://www.buzzsprout.com/?referrer_id=1032716

The skill level for this Bernese Swiss German dialogue is novice-mid.Vocabulary*1. snowboardä (snowboard)2. bike (bike)3. aareschwümme (swim in the Aare)4. aarebötle (boat in the Aare)5. föttele (take pictures)6. pingpöngle (play ping pong)7. wandere (hike)8. fishä (fish)9. musig mache (make music)10. gitarre spile (play guitar) *note that all these words are verbs.For more information about these verbs in Bärndütsch, listen to episode #5.  In that episode, Simu shares some of his favourite hobbies in Bern Switzerland, more recent fads, and even a little bit about his time in the Swiss military. To learn about how to use these Bärndütsch dialogues to further your ability to understand and use these words in daily life, be sure to check out episodes 1 and 2.More information about language learning: ACTFL Guildelines for the Novice level:https://tinyurl.com/actflguidelinespdfCEFR Guidelines: https://tinyurl.com/cefrguidelinesWe'd love to hear about your journey in learning a new language! Share your experience: website: https://www.acquireforlife.com/learnbernese twitter: https://twitter.com/acquireforlife instagram: https://www.instagram.com/acquireforlife facebook: https://www.facebook.com/learnbernese Love the Soundtracks in this podcast?  Get a free trial at Epidemic Sound! https://www.epidemicsound.com/referral/veiier/ Check out Fusebox's awesome podcast player.https://fusebox.fm/?lmref=Z1HsxQ Host your podcast with Buzzsprout and we both get a $20 gift card for Amazon! https://www.buzzsprout.com/?referrer_id=1032716

From swimming in the Aare river, soccer, playing guitar and.... knitting?!?!  In this episode, Simu and I talk about hobbies in Bern Switzerland as we talk about the mundart (dialect) of Bärndütsch.  these things and more in this episode.Welcome to Learn Bernese for Life, a resource of Acquire for Life.In this episode, I elicit vocabulary for some sports in Bern Switzerland. The skill level for this task is novice-mid.The vocabulary will be released tomorrow and Friday.To learn about how to use these Bärndütsch dialogues to further your ability to understand and use these words in daily life, be sure to check out episodes 1 and 2.More information about language learning: ACTFL Guildelines for the Novice level:https://tinyurl.com/actflguidelinespdfCEFR Guidelines: https://tinyurl.com/cefrguidelinesWe'd love to hear about your journey in learning a new language! Share your experience: website: https://www.acquireforlife.com/learnbernese twitter: https://twitter.com/acquireforlife instagram: https://www.instagram.com/acquireforlife facebook: https://www.facebook.com/learnbernese Love the Soundtracks in this podcast?  Get a free trial at Epidemic Sound! https://www.epidemicsound.com/referral/veiier/ Check out Fusebox's awesome podcast player.https://fusebox.fm/?lmref=Z1HsxQ Host your podcast with Buzzsprout and we both get a $20 gift card for Amazon! https://www.buzzsprout.com/?referrer_id=1032716

Welcome to Learn Bernese for Life, a resource of Acquire for Life.In this episode, you meet Simu a Berner from the Swiss countryside.  Then together we walk through how to greet and ask "how are you?" in an informal situation with a friend, and also a formal conversation with someone like a neighbour.1. Informal dialogue between friends.Simu                            MikeHallo Mike                                                       Hey SimuGeits guet?                                                     Ja, säber o?Geit guet, merci.Ok, meh gsehtsech.                                       Ja, bis speter.2. Formal dialogue with a neighbour.Herr. Ernst                   Herr ArdeleanGrüssech Herr Ernst.                                      Grüssech Herr ArdeleanGeits euch guet?                                            S'geit guet, merci                                   euch o?Ja, s'geit o guet.Siter Gsung?                                                  Danke, s'geit Tip Top.Auso, no e schöne Tag euch.                                      Das wünschi euch oAdiö                                   AdiöBe sure to check out episodes 3A and 3B where you can find the dialogue in four versions in Bärndütsch for optimal learning.More information about language learning: ACTFL Guildelines for the Novice level:https://tinyurl.com/actflguidelinespdfCEFR Guidelines: https://tinyurl.com/cefrguidelinesWe'd love to hear about your journey in learning a new language! Share your experience: website: https://www.acquireforlife.com/learnbernese twitter: https://twitter.com/acquireforlife instagram: https://www.instagram.com/acquireforlife facebook: https://www.facebook.com/learnbernese Love the Soundtracks in this podcast?  Get a free trial at Epidemic Sound! https://www.epidemicsound.com/referral/veiier/ Check out Fusebox's awesome podcast player.https://fusebox.fm/?lmref=Z1HsxQ Host your podcast with Buzzsprout and we both get a $20 gift card for Amazon! https://www.buzzsprout.com/?referrer_id=1032716

Karlyn Percil, Certified Emotional Intelligence & Neuro-Life Coach, joins me in an amazing discussion on how to turn our emotional data into intelligence. As a survivor of child sexual abuse, bullying, depression & anxiety, Karlyn knows what it's like to live in a dark place – and what it takes to get out of that dark place & choose life daily to live, love & laugh. Through her coaching, sister talk circles, success planner and many other tools, Karlyn's goal is to empower more women to LEAD – live & engage authentically daily. In this episode we talk about redefining our reality, owning our narratives to take our power back, and turning the data we are given by our emotions into intelligence. Karlyn shares her tools on working through elephant stories, challenging negative feedback loops and unpacking our "SIMU"s-Story I'm Making Up. Connect with Karlyn on her website: www.karlynpercil.com and on IG: @karlynpercil

LEON & Dennis Cruz - My Hood (Ewan Pearson Remix) /Crosstown Rebels/ Pirupa feat. Mr. V - We Must Be (The Piano Track) /Crosstown Rebels/ Dennis Ferrer feat. Bola Belo - Dem People Go (DC SoundSystem Remix) /King Street/ Friend Within - The Truth /Toolroom/ Duke Dumont - Runway /Blase Boys Club/ Kevin McKay, CASSIMM - Save Me /Glasgow Underground/ Jack Back - (It Happens) Sometimes /Defected/ Simún - Don't Need /Great Stuff/ Sage Armstrong & Steady Rock - Drippin Wet /Night Bass/ Cozzy D - The Upside Down (Mark Knight Remix) /ABODE/ Illyus & Barrientos - Red /Mother/ Chris Lake & Green Velvet - Deceiver /Black Book/ Malaa - Bling Bling (VOLAC Remix) /Confession/ Sl2 - DJs Take Control (Shadow Child Remix) /Food Music/

Pirupa feat. Mr. V - We Must Be (The Piano Track) /Crosstown Rebels/ Simún - Don't Need /Great Stuff/ Jack Back - (It Happens) Sometimes /Defected/ Rogue D - Chains (Patrick Topping Remix) /Hot Creations/ Finn - Sometimes The Going Gets A Little Tough (Ferreck Dawn & Robosonic Remix) /Defected/ Cozzy D - The Upside Down (Mark Knight Remix) /ABODE/ Friend Within - The Truth /Toolroom/ Illyus & Barrientos - Red /Mother/ Nic Fanciulli - First Step (Carl Cox Remix) /Saved/ Paul Woolford - Hang Up Your Hang Ups (CamelPhat Remix) /FFRR/ Sonny Fodera & Bohemien - Feel The Same /ABODE/ Unorthodox X Blackhill - Yeke Yeke /SIKR/ Duke Dumont - Runway /Blase Boys Club/ Malaa - Bling Bling (VOLAC Remix) /Confession/