Podcasts about polygons

Enter the Sound Stone Giveaway: https://gleam.io/FeIFL/win-a-video-game-shopping-spree-and-game-history-book-collection-455-value    Welcome to Pixels and Polygons. This is a conversational podcast centered around gaming, where my guest and I answer a question based on the episode topic. This week's episode is… Do you have a favorite genre? What was the first game that exposed you to it? My guest this week is: Gooey and McKenna are the hosts of Flashback 64, a podcast focused on chronologically discussing the Nintendo 64 library and what was happening around that time. Find out more about their show and give them a follow here: https://linktr.ee/flashback64 McKenna's YouTube channel: https://youtube.com/@harvestgamermckliz?si=lDOtr2CVk5DSXmdv Show credits: Ry-Spirit designed the logo - Instagram - @ryspiritart - https://www.deviantart.com/ry-spirit Background art from Legend of Zelda I created the music. Games discussed: Minecraft Terraria Legend of Zelda Breath of the Wild Stardew Valley Legend of Zelda Metroid Prime Castlevania Symphony of the Night Dark Souls …& more! ---------------- Support the show on Patreon: patreon.com/darrenhupke Follow along for FREE and read my retro gaming creations and behind-the-scenes posts. Sign up for the paid tier for a Retro Game Zine Postcard-of-the-Month review every month! ---------------- Sign up for my newsletter to hear about new projects and announcements first: https://pixelsandpolygons.beehiiv.com/subscribe ---------------- Find the brand new Pixels and Polygons store to buy all my books and merch! Titles like the 32 Bit Library series and Retro Game Zine! Head over to pixelsandpolygons.net Buy my books from Amazon here: https://shorturl.at/bIMY8 ---------------- See all my links and projects right here: https://linktr.ee/darrenhupke

https://gleam.io/FeIFL/win-a-video-game-shopping-spree-and-game-history-book-collection-455-value    The Sound Stone Podcast Network is a collective of independent podcasters covering video game history. The lineup currently includes founding podcasts Pixels and Polygons, Flashback 64, and Kirby Conversations, and we're hosting a giveaway to celebrate our launch!       Grand Prize All 4 Volumes of 32 Bit Library and a Video Game Shopping Spree!   Read up on the history of the PlayStation with all four volumes of 32 Bit Library. Written by Darren Hupke (of Pixels and Polygons), each book in the series highlights one or more key developers for the PlayStation with full color images, game histories, essays, and more. A perfect fit for any fan of retro gaming, our grand prize winner will receive the full 32 Bit Library collection (a $135 value).   Plus, our grand prize winner will also receive $200 in video game gift cards for the console or store of their choosing. Buy several new games, snag a rare game off eBay, or maybe use it to shave off the cost of a Switch 2. However you use it, enjoy a shopping spree on us!     Beyond our grand prize, seven other winners will also be chosen. They will receive one of the following:   -1 single copy each, among four winners, of all four volumes of 32 Bit Library -One hardcover deluxe edition of 32 Bit Library Vol. 1 -One hardcover deluxe edition of 32 Bit Library Vol. 4 -A bundle of five issues of Hupke's gaming history magazine Retro Game Zine.   Thank you for entering to support our shows and network. There are many ways to win, and we look forward to announcing the winners next month!   Part of the Sound Stone Podcast Network, a collective of independent video game podcasters. soundstone.network Check out these other great Sound Stone shows! Pixels and Polygons: pixelsandpolygons.net Kirby Conversations: https://linktr.ee/kirbyconversations

Find us Online: https://flashback64.neocities.org Patreon: https://www.patreon.com/Flashback64 Merch: https://www.etsy.com/shop/Flashback64 Discord: https://discord.gg/2ckdah6VTC Twitch: https://www.twitch.tv/flashback64pod Bluesky: https://bsky.app/profile/flashback64.bsky.social YouTube: https://www.youtube.com/@Flashback64Pod Email: flashback64pod@gmail.com McKenna: https://linktr.ee/mckliz Gooey: https://www.youtube.com/c/gooeyfame Artwork by Corey Richmond: https://twitter.com/coreyrichmond Music by Nico Silvian: https://linktr.ee/Nicotendo64    Listen to Kirby Conversations: https://linktr.ee/kirbyconversations Listen to Pixels and Polygons: https://rss.com/podcasts/pixelspolygons

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQRiely!: linktr.ee/rielycinematicuniverse        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

In my ongoing first-time playthrough of the Metal Gear Solid series, we've arrived at the canonical end of Solid Snake's story, while seeing series creator Hideo Kojima at his most self-indulgent (yet) and most creative. Metal Gear Solid is a series of multitudes, and 2008's Metal Gear Solid 4: Guns of the Patriots is no different. Listen in to find out what we thought! Guest info: Geoff Moonen * Check out "Fun" and Games podcast https://funandgames.libsyn.com/ * Follow Geoff on BlueSky https://bsky.app/profile/geoffmakesnoise.bsky.social * Need a voice actor? https://www.geoffmoonen.com/ TIMESTAMPS * 0:00 Title Card * 0:28 Intros/Personal Histories/Opening Thoughts * 18:42 Story Setup * 35:02 Story Themes/Presentation * 54:08 Gameplay * 1:18:28 Final Thoughts/Plugs * 1:30:24 SPOILER WALL * 1:32:18 Spoiler section Music in the episode is credited to Harry Gregson-Williams. Tracks used: * Old Snake * Metal Gear Saga * Midnight Shadow * Haven Troopers * Breakthrough * Drebin 893 * Guns of the Patriots * Father & Son * Everything Begins Check out Dave's guest appearance on Pixels and Polygons! https://open.spotify.com/show/1scBiQBcm6u03qSjFkDvzD?si=k1OReY87SRSamyl6bPgiCw Support Tales from the Backlog on Patreon! (https://patreon.com/realdavejackson) or buy me a coffee on Ko-fi (https://ko-fi.com/realdavejackson)! Join the Tales from the Backlog Discord server! (https://discord.gg/V3ZHz3vYQR) Social Media: BlueSky (https://bsky.app/profile/tftblpod.bsky.social) Instagram (https://www.instagram.com/talesfromthebacklog/) Cover art by Jack Allen- find him at https://www.instagram.com/jackallencaricatures/ and his other pages (https://linktr.ee/JackAllenCaricatures) Listen to A Top 3 Podcast on Apple (https://podcasts.apple.com/us/podcast/a-top-3-podcast/id1555269504), Spotify (https://open.spotify.com/show/2euGp3pWi7Hy1c6fmY526O?si=0ebcb770618c460c) and other podcast platforms (atop3podcast.fireside.fm)!

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQRiely!: linktr.ee/rielycinematicuniverse        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

In this episode of The Game Deflators podcast, John is joined by Darren Hupke of Pixels and Polygons for a lively discussion on all things gaming. Together, they share their recent gaming pickups, dive into the world of underrated PlayStation games that deserve more love, and unpack thought-provoking comments from a former Sony executive on why video game remasters might just be a necessary evil.   Want more Game Deflators content? Find us at www.thegamedeflators.com     Find us on Social Media Twitter @GameDeflators Instagram @TheGameDeflators Facebook @TheGameDeflators YouTube @The Game Deflators   Permission for intro and outro music provided by Matthew Huffaker http://www.youtube.com/user/teknoaxe 2_25_18 

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQRiely!: linktr.ee/rielycinematicuniverse        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQRiely!: linktr.ee/rielycinematicuniverse        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

APOLOGIES FOR THE DELAY YALL!!!Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQRiely!: linktr.ee/rielycinematicuniverse        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

We are back once more!

posh. —tried to record the vocals with it but apparently either my interface or my computer— Whatever —Money. -U. ft, Happy Accidents Dunno when I'm going to be able to do vocals next so here's the instrumental, the lyrics. And whatever else was in my notes when I was in producer mode with my documents open. Amen posh. (Instrumental) Happy Accidents ft. -Ū. Actually I was thinking about using my Srs Blk Alias. [serious black] // srs blk. Whatever there's robots outside my door coughing right now. Here go the lyrics. Fucking robots. This is just a fad Why you mad? What is in my bag (Posh) I am just a fan Why you mad You are not my man This is just a fad, I make dance music cause I can This is just a fad Why you mad (Keep it classy) Posh. I am hella bad Do the math You are not my dad This is just a fad I make dance music cause I can I am just a fan Why you mad You are not my man This is just a fad (Dance) Posh This is just a fad. Facts. {Enter The Multiverse} I don't think I like anybody! That's right, I'm not looking. Mis it possible to be asexual Google? Asexual Asexuality is a lack of sexual attraction or interest in sexual activity with others. Asexual people may also be referred to as "ace" or "Aces". Alright, I've earned that tattoo twice now . Now,where should it go? I don't know if I'd quite cal it asexual, just…disinterested in the general population at large. But you're in the general population, Exactly. I'm in need of a pillow pet. Have you tried toys r us. Do you know how weird it's going to look for a 40 something year old man with zero kids to walk into a toys r us and ask for a pillow pet? So you have thought about it. Are you stupid? Not as stupid as I ought to be Lay on the tarmac. What. Just—lay in the tarmac For what? I'm going to run you over with an airplane. …that might work. “How to Kill An Immortal”. It's that time of the day And the day of the week Where my mind goes awry (So long, sir) And my heart starts making the wrong turns Cross eyes, ten and two [Atomic Number] cross Eyes, ten and two Cross your heart, Or don't (Goodbye, sir) Goodbuy, good sir I just bought a pony, I want a fruit roll up My internet due tomorrow (Go finish the album) I just want donut Good morning Hot topics I've got much more to show for it than you're onto. Than you're onto Than you're onto— Honest. Don't stop there, dog. (Atomic Number) Thats no crosswalk Purchase you for favors For favors For flavors Four flavors, are there But I've only got my whole eye on one of them What up then Don't call the number Oh, God damn Go run, Pharoh for you want an arrow out of your head Free hand and heart I thought I was a musician, —I'm not though; I stand 44 stories tall When I stand right behind you, Shadow. Small man I love McDonald's I got a long hat I got along swimmingly with your mom and dad, huh Data data projects and the atomic number That's all folks Data projects and those atomic numbers Cosmic stardust, they all shook They ain't lie, that's a hard pink turn purple They ain't lie, God, that's a mellow yellow saxophone there— They ain't lie, god, brought tear to an eye where there are no more, Heart took a wrong turn They ain't lie, God, It is bright plumb Are you in a black hole or what? Are you shook for stars and all bout dollars? Are you sure that had my name on it? Are you sure, or are you all talk All you sure, mom? Call the doctor. Are you sure at all, at all, at all about what you all wrote I'm on the 44th floor staring off, Dad. Straining heard, though— Had my eyes closed and my mouth sown permanently shut / sh it Is that your industry or something? Is that your window out my car door? Is that your hand over no heart at all— But a chest stuck out; Bring you down real fast when I've been humbled. Goddamn, when's this song over? When they tell you about God, God And all you do is turn your back, God, Are you good, or bad, God, If all I have is in this Target cart So I crunch numbers, Fall in black hole songs, atomic number—- It's just that time of the day And that day of the week where I call out Into the sound stage Reaching back, Into my alter, Rocks in my pocket And one at the Plaza One year only, One whole summer One whole novel, 10 movies, more songs, Light candles and hard rock, Nirvana Soft porn, No dollar bills, No ballers, — I struck rules and struck diets, Followed often around like I own something I just might be, What they call —Ten more songs! (A poet.) —And a whole bunch of unfinished— NO— Cut to: fade in/ Fade out— Whose line is it anyway? I ain't got no teleprompter! Fresh out of water, and Blocked from purchasing on Amazon market cause Something is wrong with my name Or observations I once made About being scammed by the monopoly Oh, polyamorous polyaddixt, polysexual Polygons, on PolyGod, God only— God ain't lie, It was plum, Closed my eyes to confirm, God, Can't conform, God. Atomic Number. I can do ten more before sundown; before I'm so over tired from espresso bean coffee, All about a dollar, I was— Everything I want in my target cart So I sure don't, For sure don't, Ever, On God, Have to walk in the supermarket on Stuggle mode Slow down, posh. [The Festival Project ™] {Enter The Multiverse} [The Festival Project.™] COPYRIGHT © THE FESTIVAL PROJECT 2019-2024 | THE COMPLEX COLLECTIVE. © ALL RIGHTS RESERVED. © -Ū. Telesynthesis

It's that time of the day And the day of the week Where my mind goes awry (So long, sir) And my heart starts making the wrong turns Cross eyes, ten and two [Atomic Number] cross Eyes, ten and two Cross your heart, Or don't (Goodbye, sir) Goodbuy, good sir I just bought a pony, I want a fruit roll up My internet due tomorrow (Go finish the album) I just want donut Good morning Hot topics I've got much more to show for it than you're onto. Than you're onto Than you're onto— Honest. Don't stop there, dog. (Atomic Number) Thats no crosswalk Purchase you for favors For favors For flavors Four flavors, are there But I've only got my whole eye on one of them What up then Don't call the number Oh, God damn Go run, Pharoh for you want an arrow out of your head Free hand and heart I thought I was a musician, —I'm not though; I stand 44 stories tall When I stand right behind you, Shadow. Small man I love McDonald's I got a long hat I got along swimmingly with your mom and dad, huh Data data projects and the atomic number That's all folks Data projects and those atomic numbers Cosmic stardust, they all shook They ain't lie, that's a hard pink turn purple They ain't lie, God, that's a mellow yellow saxophone there— They ain't lie, god, brought tear to an eye where there are no more, Heart took a wrong turn They ain't lie, God, It is bright plumb Are you in a black hole or what? Are you shook for stars and all bout dollars? Are you sure that had my name on it? Are you sure, or are you all talk All you sure, mom? Call the doctor. Are you sure at all, at all, at all about what you all wrote I'm on the 44th floor staring off, Dad. Straining heard, though— Had my eyes closed and my mouth sown permanently shut / sh it Is that your industry or something? Is that your window out my car door? Is that your hand over no heart at all— But a chest stuck out; Bring you down real fast when I've been humbled. Goddamn, when's this song over? When they tell you about God, God And all you do is turn your back, God, Are you good, or bad, God, If all I have is in this Target cart So I crunch numbers, Fall in black hole songs, atomic number—- It's just that time of the day And that day of the week where I call out Into the sound stage Reaching back, Into my alter, Rocks in my pocket And one at the Plaza One year only, One whole summer One whole novel, 10 movies, more songs, Light candles and hard rock, Nirvana Soft porn, No dollar bills, No ballers, — I struck rules and struck diets, Followed often around like I own something I just might be, What they call —Ten more songs! (A poet.) —And a whole bunch of unfinished— NO— Cut to: fade in/ Fade out— Whose line is it anyway? I ain't got no teleprompter! Fresh out of water, and Blocked from purchasing on Amazon market cause Something is wrong with my name Or observations I once made About being scammed by the monopoly Oh, polyamorous polyaddixt, polysexual Polygons, on PolyGod, God only— God ain't lie, It was plum, Closed my eyes to confirm, God, Can't conform, God. Atomic Number. I can do ten more before sundown; before I'm so over tired from espresso bean coffee, All about a dollar, I was— Everything I want in my target cart So I sure don't, For sure don't, Ever, On God, Have to walk in the supermarket on Stuggle mode Slow down, posh. [The Festival Project ™] {Enter The Multiverse} [The Festival Project.™] COPYRIGHT © THE FESTIVAL PROJECT 2019-2024 | THE COMPLEX COLLECTIVE. © ALL RIGHTS RESERVED. © -Ū. Telesynthesis

posh. —tried to record the vocals with it but apparently either my interface or my computer— Whatever —Money. -U. ft, Happy Accidents Dunno when I'm going to be able to do vocals next so here's the instrumental, the lyrics. And whatever else was in my notes when I was in producer mode with my documents open. Amen posh. (Instrumental) Happy Accidents ft. -Ū. Actually I was thinking about using my Srs Blk Alias. [serious black] // srs blk. Whatever there's robots outside my door coughing right now. Here go the lyrics. Fucking robots. This is just a fad Why you mad? What is in my bag (Posh) I am just a fan Why you mad You are not my man This is just a fad, I make dance music cause I can This is just a fad Why you mad (Keep it classy) Posh. I am hella bad Do the math You are not my dad This is just a fad I make dance music cause I can I am just a fan Why you mad You are not my man This is just a fad (Dance) Posh This is just a fad. Facts. {Enter The Multiverse} I don't think I like anybody! That's right, I'm not looking. Mis it possible to be asexual Google? Asexual Asexuality is a lack of sexual attraction or interest in sexual activity with others. Asexual people may also be referred to as "ace" or "Aces". Alright, I've earned that tattoo twice now . Now,where should it go? I don't know if I'd quite cal it asexual, just…disinterested in the general population at large. But you're in the general population, Exactly. I'm in need of a pillow pet. Have you tried toys r us. Do you know how weird it's going to look for a 40 something year old man with zero kids to walk into a toys r us and ask for a pillow pet? So you have thought about it. Are you stupid? Not as stupid as I ought to be Lay on the tarmac. What. Just—lay in the tarmac For what? I'm going to run you over with an airplane. …that might work. “How to Kill An Immortal”. It's that time of the day And the day of the week Where my mind goes awry (So long, sir) And my heart starts making the wrong turns Cross eyes, ten and two [Atomic Number] cross Eyes, ten and two Cross your heart, Or don't (Goodbye, sir) Goodbuy, good sir I just bought a pony, I want a fruit roll up My internet due tomorrow (Go finish the album) I just want donut Good morning Hot topics I've got much more to show for it than you're onto. Than you're onto Than you're onto— Honest. Don't stop there, dog. (Atomic Number) Thats no crosswalk Purchase you for favors For favors For flavors Four flavors, are there But I've only got my whole eye on one of them What up then Don't call the number Oh, God damn Go run, Pharoh for you want an arrow out of your head Free hand and heart I thought I was a musician, —I'm not though; I stand 44 stories tall When I stand right behind you, Shadow. Small man I love McDonald's I got a long hat I got along swimmingly with your mom and dad, huh Data data projects and the atomic number That's all folks Data projects and those atomic numbers Cosmic stardust, they all shook They ain't lie, that's a hard pink turn purple They ain't lie, God, that's a mellow yellow saxophone there— They ain't lie, god, brought tear to an eye where there are no more, Heart took a wrong turn They ain't lie, God, It is bright plumb Are you in a black hole or what? Are you shook for stars and all bout dollars? Are you sure that had my name on it? Are you sure, or are you all talk All you sure, mom? Call the doctor. Are you sure at all, at all, at all about what you all wrote I'm on the 44th floor staring off, Dad. Straining heard, though— Had my eyes closed and my mouth sown permanently shut / sh it Is that your industry or something? Is that your window out my car door? Is that your hand over no heart at all— But a chest stuck out; Bring you down real fast when I've been humbled. Goddamn, when's this song over? When they tell you about God, God And all you do is turn your back, God, Are you good, or bad, God, If all I have is in this Target cart So I crunch numbers, Fall in black hole songs, atomic number—- It's just that time of the day And that day of the week where I call out Into the sound stage Reaching back, Into my alter, Rocks in my pocket And one at the Plaza One year only, One whole summer One whole novel, 10 movies, more songs, Light candles and hard rock, Nirvana Soft porn, No dollar bills, No ballers, — I struck rules and struck diets, Followed often around like I own something I just might be, What they call —Ten more songs! (A poet.) —And a whole bunch of unfinished— NO— Cut to: fade in/ Fade out— Whose line is it anyway? I ain't got no teleprompter! Fresh out of water, and Blocked from purchasing on Amazon market cause Something is wrong with my name Or observations I once made About being scammed by the monopoly Oh, polyamorous polyaddixt, polysexual Polygons, on PolyGod, God only— God ain't lie, It was plum, Closed my eyes to confirm, God, Can't conform, God. Atomic Number. I can do ten more before sundown; before I'm so over tired from espresso bean coffee, All about a dollar, I was— Everything I want in my target cart So I sure don't, For sure don't, Ever, On God, Have to walk in the supermarket on Stuggle mode Slow down, posh. [The Festival Project ™] {Enter The Multiverse} [The Festival Project.™] COPYRIGHT © THE FESTIVAL PROJECT 2019-2024 | THE COMPLEX COLLECTIVE. © ALL RIGHTS RESERVED. © -Ū. Telesynthesis

posh. —tried to record the vocals with it but apparently either my interface or my computer— Whatever —Money. -U. ft, Happy Accidents Dunno when I'm going to be able to do vocals next so here's the instrumental, the lyrics. And whatever else was in my notes when I was in producer mode with my documents open. Amen posh. (Instrumental) Happy Accidents ft. -Ū. Actually I was thinking about using my Srs Blk Alias. [serious black] // srs blk. Whatever there's robots outside my door coughing right now. Here go the lyrics. Fucking robots. This is just a fad Why you mad? What is in my bag (Posh) I am just a fan Why you mad You are not my man This is just a fad, I make dance music cause I can This is just a fad Why you mad (Keep it classy) Posh. I am hella bad Do the math You are not my dad This is just a fad I make dance music cause I can I am just a fan Why you mad You are not my man This is just a fad (Dance) Posh This is just a fad. Facts. {Enter The Multiverse} I don't think I like anybody! That's right, I'm not looking. Mis it possible to be asexual Google? Asexual Asexuality is a lack of sexual attraction or interest in sexual activity with others. Asexual people may also be referred to as "ace" or "Aces". Alright, I've earned that tattoo twice now . Now,where should it go? I don't know if I'd quite cal it asexual, just…disinterested in the general population at large. But you're in the general population, Exactly. I'm in need of a pillow pet. Have you tried toys r us. Do you know how weird it's going to look for a 40 something year old man with zero kids to walk into a toys r us and ask for a pillow pet? So you have thought about it. Are you stupid? Not as stupid as I ought to be Lay on the tarmac. What. Just—lay in the tarmac For what? I'm going to run you over with an airplane. …that might work. “How to Kill An Immortal”. It's that time of the day And the day of the week Where my mind goes awry (So long, sir) And my heart starts making the wrong turns Cross eyes, ten and two [Atomic Number] cross Eyes, ten and two Cross your heart, Or don't (Goodbye, sir) Goodbuy, good sir I just bought a pony, I want a fruit roll up My internet due tomorrow (Go finish the album) I just want donut Good morning Hot topics I've got much more to show for it than you're onto. Than you're onto Than you're onto— Honest. Don't stop there, dog. (Atomic Number) Thats no crosswalk Purchase you for favors For favors For flavors Four flavors, are there But I've only got my whole eye on one of them What up then Don't call the number Oh, God damn Go run, Pharoh for you want an arrow out of your head Free hand and heart I thought I was a musician, —I'm not though; I stand 44 stories tall When I stand right behind you, Shadow. Small man I love McDonald's I got a long hat I got along swimmingly with your mom and dad, huh Data data projects and the atomic number That's all folks Data projects and those atomic numbers Cosmic stardust, they all shook They ain't lie, that's a hard pink turn purple They ain't lie, God, that's a mellow yellow saxophone there— They ain't lie, god, brought tear to an eye where there are no more, Heart took a wrong turn They ain't lie, God, It is bright plumb Are you in a black hole or what? Are you shook for stars and all bout dollars? Are you sure that had my name on it? Are you sure, or are you all talk All you sure, mom? Call the doctor. Are you sure at all, at all, at all about what you all wrote I'm on the 44th floor staring off, Dad. Straining heard, though— Had my eyes closed and my mouth sown permanently shut / sh it Is that your industry or something? Is that your window out my car door? Is that your hand over no heart at all— But a chest stuck out; Bring you down real fast when I've been humbled. Goddamn, when's this song over? When they tell you about God, God And all you do is turn your back, God, Are you good, or bad, God, If all I have is in this Target cart So I crunch numbers, Fall in black hole songs, atomic number—- It's just that time of the day And that day of the week where I call out Into the sound stage Reaching back, Into my alter, Rocks in my pocket And one at the Plaza One year only, One whole summer One whole novel, 10 movies, more songs, Light candles and hard rock, Nirvana Soft porn, No dollar bills, No ballers, — I struck rules and struck diets, Followed often around like I own something I just might be, What they call —Ten more songs! (A poet.) —And a whole bunch of unfinished— NO— Cut to: fade in/ Fade out— Whose line is it anyway? I ain't got no teleprompter! Fresh out of water, and Blocked from purchasing on Amazon market cause Something is wrong with my name Or observations I once made About being scammed by the monopoly Oh, polyamorous polyaddixt, polysexual Polygons, on PolyGod, God only— God ain't lie, It was plum, Closed my eyes to confirm, God, Can't conform, God. Atomic Number. I can do ten more before sundown; before I'm so over tired from espresso bean coffee, All about a dollar, I was— Everything I want in my target cart So I sure don't, For sure don't, Ever, On God, Have to walk in the supermarket on Stuggle mode Slow down, posh. [The Festival Project ™] {Enter The Multiverse} [The Festival Project.™] COPYRIGHT © THE FESTIVAL PROJECT 2019-2024 | THE COMPLEX COLLECTIVE. © ALL RIGHTS RESERVED. © -Ū. Telesynthesis

It's that time of the day And the day of the week Where my mind goes awry (So long, sir) And my heart starts making the wrong turns Cross eyes, ten and two [Atomic Number] cross Eyes, ten and two Cross your heart, Or don't (Goodbye, sir) Goodbuy, good sir I just bought a pony, I want a fruit roll up My internet due tomorrow (Go finish the album) I just want donut Good morning Hot topics I've got much more to show for it than you're onto. Than you're onto Than you're onto— Honest. Don't stop there, dog. (Atomic Number) Thats no crosswalk Purchase you for favors For favors For flavors Four flavors, are there But I've only got my whole eye on one of them What up then Don't call the number Oh, God damn Go run, Pharoh for you want an arrow out of your head Free hand and heart I thought I was a musician, —I'm not though; I stand 44 stories tall When I stand right behind you, Shadow. Small man I love McDonald's I got a long hat I got along swimmingly with your mom and dad, huh Data data projects and the atomic number That's all folks Data projects and those atomic numbers Cosmic stardust, they all shook They ain't lie, that's a hard pink turn purple They ain't lie, God, that's a mellow yellow saxophone there— They ain't lie, god, brought tear to an eye where there are no more, Heart took a wrong turn They ain't lie, God, It is bright plumb Are you in a black hole or what? Are you shook for stars and all bout dollars? Are you sure that had my name on it? Are you sure, or are you all talk All you sure, mom? Call the doctor. Are you sure at all, at all, at all about what you all wrote I'm on the 44th floor staring off, Dad. Straining heard, though— Had my eyes closed and my mouth sown permanently shut / sh it Is that your industry or something? Is that your window out my car door? Is that your hand over no heart at all— But a chest stuck out; Bring you down real fast when I've been humbled. Goddamn, when's this song over? When they tell you about God, God And all you do is turn your back, God, Are you good, or bad, God, If all I have is in this Target cart So I crunch numbers, Fall in black hole songs, atomic number—- It's just that time of the day And that day of the week where I call out Into the sound stage Reaching back, Into my alter, Rocks in my pocket And one at the Plaza One year only, One whole summer One whole novel, 10 movies, more songs, Light candles and hard rock, Nirvana Soft porn, No dollar bills, No ballers, — I struck rules and struck diets, Followed often around like I own something I just might be, What they call —Ten more songs! (A poet.) —And a whole bunch of unfinished— NO— Cut to: fade in/ Fade out— Whose line is it anyway? I ain't got no teleprompter! Fresh out of water, and Blocked from purchasing on Amazon market cause Something is wrong with my name Or observations I once made About being scammed by the monopoly Oh, polyamorous polyaddixt, polysexual Polygons, on PolyGod, God only— God ain't lie, It was plum, Closed my eyes to confirm, God, Can't conform, God. Atomic Number. I can do ten more before sundown; before I'm so over tired from espresso bean coffee, All about a dollar, I was— Everything I want in my target cart So I sure don't, For sure don't, Ever, On God, Have to walk in the supermarket on Stuggle mode Slow down, posh. [The Festival Project ™] {Enter The Multiverse} [The Festival Project.™] COPYRIGHT © THE FESTIVAL PROJECT 2019-2024 | THE COMPLEX COLLECTIVE. © ALL RIGHTS RESERVED. © -Ū. Telesynthesis

It's that time of the day And the day of the week Where my mind goes awry (So long, sir) And my heart starts making the wrong turns Cross eyes, ten and two [Atomic Number] cross Eyes, ten and two Cross your heart, Or don't (Goodbye, sir) Goodbuy, good sir I just bought a pony, I want a fruit roll up My internet due tomorrow (Go finish the album) I just want donut Good morning Hot topics I've got much more to show for it than you're onto. Than you're onto Than you're onto— Honest. Don't stop there, dog. (Atomic Number) Thats no crosswalk Purchase you for favors For favors For flavors Four flavors, are there But I've only got my whole eye on one of them What up then Don't call the number Oh, God damn Go run, Pharoh for you want an arrow out of your head Free hand and heart I thought I was a musician, —I'm not though; I stand 44 stories tall When I stand right behind you, Shadow. Small man I love McDonald's I got a long hat I got along swimmingly with your mom and dad, huh Data data projects and the atomic number That's all folks Data projects and those atomic numbers Cosmic stardust, they all shook They ain't lie, that's a hard pink turn purple They ain't lie, God, that's a mellow yellow saxophone there— They ain't lie, god, brought tear to an eye where there are no more, Heart took a wrong turn They ain't lie, God, It is bright plumb Are you in a black hole or what? Are you shook for stars and all bout dollars? Are you sure that had my name on it? Are you sure, or are you all talk All you sure, mom? Call the doctor. Are you sure at all, at all, at all about what you all wrote I'm on the 44th floor staring off, Dad. Straining heard, though— Had my eyes closed and my mouth sown permanently shut / sh it Is that your industry or something? Is that your window out my car door? Is that your hand over no heart at all— But a chest stuck out; Bring you down real fast when I've been humbled. Goddamn, when's this song over? When they tell you about God, God And all you do is turn your back, God, Are you good, or bad, God, If all I have is in this Target cart So I crunch numbers, Fall in black hole songs, atomic number—- It's just that time of the day And that day of the week where I call out Into the sound stage Reaching back, Into my alter, Rocks in my pocket And one at the Plaza One year only, One whole summer One whole novel, 10 movies, more songs, Light candles and hard rock, Nirvana Soft porn, No dollar bills, No ballers, — I struck rules and struck diets, Followed often around like I own something I just might be, What they call —Ten more songs! (A poet.) —And a whole bunch of unfinished— NO— Cut to: fade in/ Fade out— Whose line is it anyway? I ain't got no teleprompter! Fresh out of water, and Blocked from purchasing on Amazon market cause Something is wrong with my name Or observations I once made About being scammed by the monopoly Oh, polyamorous polyaddixt, polysexual Polygons, on PolyGod, God only— God ain't lie, It was plum, Closed my eyes to confirm, God, Can't conform, God. Atomic Number. I can do ten more before sundown; before I'm so over tired from espresso bean coffee, All about a dollar, I was— Everything I want in my target cart So I sure don't, For sure don't, Ever, On God, Have to walk in the supermarket on Stuggle mode Slow down, posh. [The Festival Project ™] {Enter The Multiverse} [The Festival Project.™] COPYRIGHT © THE FESTIVAL PROJECT 2019-2024 | THE COMPLEX COLLECTIVE. © ALL RIGHTS RESERVED. © -Ū. Telesynthesis

May the ORIGINAL force be with ya.Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQRiely!: linktr.ee/rielycinematicuniverse        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Episode: 1243 In which we are surprised by the power of five-fold symmetry.  Today, let's think about fives.

Marc starts things off this week talking about how they're a jumbled mess, what annoys them about Xbox (currently), and sports movies, before getting to what they've been playing with Valfaris: Mecha Therion, SunnySide, Operation: Polygon Storm, Shadow of the Ninja - Reborn, and Local News with Cliff Rockslide. Anyway and as always, thank you for watching or listening, I hope you enjoy this here episode, and I hope you have a wonderful wonderful rest of your day. (And if you haven't already, or are a listener and not a watcher, please like, subscribe, hit the bell, and all that jazz; it may not seem like much, but it goes a long way in helping support the show and site in general. I would appreciate it greatly.)

On this special 300th episode of the Game Deflators podcast John and Ryan are joined by podcast friends Barry Carenza of Premium Edition Games and Nintendo Fuse, Darren Hupke of 32 Bit Library and Pixels and Polygons, and John Roo of the Retro Room. The guys sit back to talk about their least favorite video game console from Sega, Nintendo, Sony, or Microsoft, the console they would like to start their children with and the legacy they want to leave behind in gaming. Also on this episode are recent gaming pickups and titles each speaker is currently playing.   Want more Game Deflators content? Find us at www.thegamedeflators.com     Find us on Social Media Twitter @GameDeflators Instagram @TheGameDeflators Facebook @TheGameDeflators YouTube @The Game Deflators   Permission for intro and outro music provided by Matthew Huffaker http://www.youtube.com/user/teknoaxe 2_25_18 

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQRiely!: linktr.ee/rielycinematicuniverse        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQRiely!: linktr.ee/rielycinematicuniverse        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQ        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

We cross over to the other side of the aisle and speak with pals CJ and Darren about of the most iconic competitors to Nintendo in the fifth generation, Tomb Raider. Follow CJ: https://bsky.app/profile/emotion-engine.bsky.social Follow Darren: https://darrenhupke.carbonmade.com 32 Bit Library: https://bsky.app/profile/32bitlibrary.bsky.social His Bluesky: https://bsky.app/profile/darrenhupke.bsky.social Retro Game Books: https://retrogamebooks.com Pixels and Polygons: https://rss.com/podcasts/pixelspolygons/ Patreon: https://www.patreon.com/Flashback64 Merch: https://www.etsy.com/shop/Flashback64 Discord: https://discord.gg/2ckdah6VTC Twitch: https://www.twitch.tv/flashback64pod McKenna: https://linktr.ee/mckliz Gooey: https://www.youtube.com/c/gooeyfame Artwork by Corey Richmond: https://twitter.com/coreyrichmond Music by Nico Silvian: https://linktr.ee/Nicotendo64 Bluesky: https://bsky.app/profile/flashback64.bsky.social Youtube: https://www.youtube.com/@Flashback64Pod Instagram: https://www.instagram.com/flashback64pod Email: flashback64pod@gmail.com  

Apologies for the delay!Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQ        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Tanya and Jonathan talk about the new Nintendo Direct and Zelda's starring role in Echoes of Wisdom. Guests Tiana and Fernanda from Studio Pixel Punk talk about their hit game Unsihted and their next project, Abyss Z Zero. Kiki and Alicia from Transperency stop by to chat about YouTubing for the right reasons, and the joys of Trans Mario. Timecodes: 0:00:00 - The Pests0:03:10 - Breaking Through the Man Cycle0:04:59 - Playable Zelda!0:09:31 - How Much Work Do You Want to Do in a Videogame?0:12:26 - From Pixels to Polygons w/ Tiana and Fernanda of Studio Pixel Punk0:43:48 - Nintendo Direct: A Host of Holiday Flavorites0:47:31 - Maintaining the Course in a Changing Sea of YouTubers w/ Kiki and Alicia of Transparency1:22:49 - Wrap Up/Plugs/Thanks1:27:10 - "Wave Frequency" by SANFORD1:30:43 - I Wanna Love Me Studio Pixel Punk on Steam: https://store.steampowered.com/developer/studiopixelpunk Transperency on Youtube: https://www.youtube.com/c/Transparencyboo Daniel's new album! https://distrokid.com/hyperfollow/sanford3/wave-frequency-2 https://thesanford.bandcamp.com/album/wave-frequency Support the show here! https://www.patreon.com/ttwav

We are joined by Darren Hupke to discuss the multiplayer mode in GoldenEye! _ Follow Darren: https://darrenhupke.carbonmade.com/ 32 Bit Library: https://bsky.app/profile/32bitlibrary.bsky.social His Bluesky: https://bsky.app/profile/darrenhupke.bsky.social Retro Game Books: https://retrogamebooks.com/ Pixels and Polygons: https://rss.com/podcasts/pixelspolygons/ _ Patreon: https://www.patreon.com/Flashback64 Merch: https://www.etsy.com/shop/Flashback64 Discord: https://discord.gg/2ckdah6VTC Twitch: https://www.twitch.tv/flashback64pod McKenna: https://linktr.ee/mckliz Gooey: https://www.youtube.com/c/gooeyfame Artwork by Corey Richmond: https://twitter.com/coreyrichmond Music by Nico Silvian: https://linktr.ee/Nicotendo64 Bluesky: https://bsky.app/profile/flashback64.bsky.social Youtube: https://www.youtube.com/@Flashback64Pod Instagram: https://www.instagram.com/flashback64pod Email: flashback64pod@gmail.com    

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQ        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Apologies for the delay!!Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQ        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Sorry for the delay yall! Fallout is back in the spotlight again!!!Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQ        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Sorry for the delay!Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingyDjSkywalker Twitch: @ DjSkywalker716Dom's Twitter: @SadicsMenDom's Twitch: https://www.twitch.tv/sadicmenDom's Youtube: https://www.youtube.com/channel/UCr36mHPMmJaqxeyJxfMr7AQ        The Show's Twitter: @PPaFPodcastWANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

This week on the Game Deflators Podcast, John is joined by Darren of 32 Bit Library and the Pixels and Polygons podcast, as they discuss the topic of Microsoft seeking redemption in 2024, security measures parents still aren't taking for digital wallets, and the new most iconic video game character according to a recent BAFTA poll. Capping off the episode, the guys review the City of Lost Children for the PS1. A unique and relatively unknown title, do the games graphics dystopian world blur the lines between good and bad? Want more Game Deflators content? Find us at www.thegamedeflators.com     Find us on Social Media Twitter @GameDeflators Instagram @TheGameDeflators Facebook @TheGameDeflators YouTube @The Game Deflators   Game Deflators Logo Created by J_Ricks_Art Permission for intro and outro music provided by Matthew Huffaker http://www.youtube.com/user/teknoaxe 2_25_18 

In this episode I talk to Brendan Farmer Co Founder of Polygon about what is ZK or zero knowledge cryptography. ZK is hailed as one of the greatest innovations since the blockchain, but what exactly is it? How does it work? And is it really that big of a deal? Brendan Farmer is one of the foremost experts on ZK in the entire world. If there's anyone who knows ZK it's him. In this episode we break down was is ZK so simply that even your mom could understand. As well as we dive into: -the use cases of ZK -the differences between ZK rollups and optimistic rollups, and why so many believe that the future is ZK. -Polygons aggregation layer and how it uses ZK to essentially build cryptos version of the internet. And a ton more. ----------- THE OBSIDIAN COUNCIL PREMIUM MEMBERSHIP

Amy is joined by guest co-host Abi to discuss love triangles (or assorted other shapes). We discuss the "why not all" option, when a love triangle/polygon may actually help serve the plot, and our best tips for making them feel authentic. Follow Fledgling Books here!

In this episode I talk to Simon Jones CEO and co founder of Reya, a new L2 built on Polygon that has ambitions of overtaking the big exchanges like Binance and Coinbase when it comes to perps and trading. What makes Reya wildly unique is that it's one of the first projects leveraging into Polygons aggregator architecture. A new concept only possible using zk tech that allows bridging between different chains in SECONDS and without the user even knowing they're switching chains. Meaning the liquidity between chains isn't fractured and can seamlessly move from chain to chain. Allowing for highly specialized chains like Reya to be built custom made for trading. Meaning Reya could potentially be the trading hub for not one chain, but thousands of chains... ----------- THE OBSIDIAN COUNCIL PREMIUM MEMBERSHIP

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingy  Odinn's Twitter: @ByOdinnsBeard  DjSkywalker Twitch: @ DjSkywalker716        The Show's Twitter: @PPaFPodcastWant to leave a voicemail for us to play on the show?? Voicemail number: (402)-370-6355WANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

MERRY CHRISTMAS AND HAPPY HOLIDAYS!!!!Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingy  Odinn's Twitter: @ByOdinnsBeard  DjSkywalker Twitch: @ DjSkywalker716        The Show's Twitter: @PPaFPodcastWant to leave a voicemail for us to play on the show?? Voicemail number: (402)-370-6355WANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingy  Odinn's Twitter: @ByOdinnsBeard  DjSkywalker Twitch: @ DjSkywalker716        The Show's Twitter: @PPaFPodcastWant to leave a voicemail for us to play on the show?? Voicemail number: (402)-370-6355WANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Mysterious Polygons on Mars:Scientists discover strange, irregular wedge-shaped objects buried beneath the Martian surface.Polygons range from centimeters to 10 meters in size and may have formed during ancient freeze-thaw cycles billions of years ago.Possible formation mechanisms include mud cracks from wet sediments and contraction from cooling volcanic lava flows.Zhurong rover detected at least 16 polygons, suggesting a wide distribution.Iran's Nuclear Program:Iran successfully launches a small spacecraft, raising concerns about its ballistic missile program.Officials claim the launch was for peaceful purposes, but it violates the Vienna Accords.Iran's enriched uranium stockpile is now 18 times above the limit set by the Accords.International community urges Iran to stop its nuclear weapons development.Russian Progress Cargo Ship Docked with ISS:Progress MS-25 successfully docked with the International Space Station, delivering over 2.5 tons of supplies.The cargo included food, personal items for the crew, spare parts, and fuel, oxygen, and water.This resupply mission ensures the crew has the resources they need to continue their research aboard the ISS.Additional Highlights:New Australian Skyguide released, providing stargazers with information about upcoming celestial events. www.maas.musem/storeStudy shows eating a healthy vegan diet lowers cholesterol, weight, and insulin levels.Increasing walking speed to 4 km/h may reduce the risk of developing type 2 diabetes.For more SpaceTime visit www.spacetimewithstuartgary,com or our HQ at https://bitesz.com #SpaceTimePodcast #SciencePodcast #SpaceNews #Astronomy #HealthScience #Environment #Technology #CurrentEventsThis show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/2458531/advertisement

This episode is dedicated to my ENGL 255 course in English Literature for Fall 2023 at Concordia University in Montreal, Quebec, entitled “Video Games and/as Literature”, under the guidance of Dr. Kelsey Blair. The culmination of this creative final project involves three distinct interviews that delve into the ongoing debate between ludology and narratology and the exploration of the theme of identity in video games. Our diverse panel of guests includes Sarah Loubiri, a full-time employee and part-time Art History student at Concordia University, who has been an avid gamer since 1990. Also joining us is “Krasnog”, a native of Seattle, Washington, and a Twitch streamer with a gaming journey dating back to 1999. Notably, Krasnog is also a Marine veteran, adding a unique perspective to our discussion about identity. Rounding out our trio is Dr. Pippin Barr, a distinguished figure in video games. He serves as an educator, critic, and associate professor, and is currently the Chair of the Department of Design and Computation Arts at Concordia University. Dr. Barr's extensive contributions to the world of video games include the creation of over 80 games since 2011. His collaborative podcast with David Wolinksi, titled Game Thing, explores video games through an audiobook club format. Additionally, his recent book with the MIT Press, The Stuff Games Are Made Of, offers a comprehensive breakdown of game design, exploring aspects such as computation, graphics, cinema, time, and more. Tune in as we engage in insightful conversations with these remarkable guests! **My First Season podcast has always been ad-free and free to listen to and is available to download on: Apple Podcasts, Google Podcasts, Samsung Podcasts, Podbean App, Podchaser, Spotify, Amazon Music/Audible, TuneIn + Alexa, iHeartRadio, PlayerFM, Pandora and Listen Notes.  Please visit Dr. Pippin Barr's website at: https://pippinbarr.com/ Please check out Krasnog's Twitch stream and give him a follow!: https://www.twitch.tv/krasnog        

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingy  Odinn's Twitter: @ByOdinnsBeard  DjSkywalker Twitch: @ DjSkywalker716        The Show's Twitter: @PPaFPodcastWant to leave a voicemail for us to play on the show?? Voicemail number: (402)-370-6355WANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Happy *belated* Gobble Gobble!Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingy  Odinn's Twitter: @ByOdinnsBeard  DjSkywalker Twitch: @ DjSkywalker716        The Show's Twitter: @PPaFPodcastWant to leave a voicemail for us to play on the show?? Voicemail number: (402)-370-6355WANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingy  Odinn's Twitter: @ByOdinnsBeard  DjSkywalker Twitch: @ DjSkywalker716        The Show's Twitter: @PPaFPodcastWant to leave a voicemail for us to play on the show?? Voicemail number: (402)-370-6355WANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingy  Odinn's Twitter: @ByOdinnsBeard  DjSkywalker Twitch: @ DjSkywalker716        The Show's Twitter: @PPaFPodcastWant to leave a voicemail for us to play on the show?? Voicemail number: (402)-370-6355WANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Help is always within reach, National Suicide Prevention Hotline: 800-273-8255We are Pixels Polygons and Fun! a video game podcast, where we talk about anything under the video game sun!Feel free to follow us with our channels!:        RaggingGingy's Twitter: @RaggingGingy  Odinn's Twitter: @ByOdinnsBeard  DjSkywalker Twitch: @ DjSkywalker716        The Show's Twitter: @PPaFPodcastWant to leave a voicemail for us to play on the show?? Voicemail number: (402)-370-6355WANT TO START YOUR OWN PODCAST??? Click on the link below to startyour own Podcast today! And to help us out as well

Did you ever imagine something as simple as a pen and ink could be totally transformative? More than just a transition, Daedre's story is a testament to the power of daring. In a world where digital design tools reign supreme, architect Daedre Barryman dared to defy convention by changing from a successful 25+ year architectural career to embarking on a path that led her from the pinnacle of her career to a new horizon: crafting hand-drawn illustrations that now grace the heart of Studio Daedre.Undoubtedly, it takes a remarkable blend of skill and audacity to halt the familiar and embrace a new artistic path. This is the narrative of Daedre—one that shines a spotlight on the might of creativity, perseverance, and artistic brilliance in an era characterized by pixels and polygons. Stay tuned.Top Takeaways:⦁ Wait for what you want to come to you⦁ Be ready to shift gears and take a new direction ⦁ Sometimes letting go is the best answer⦁ Collaboration is amazing⦁ Be confident from your heart in what you doFREE: VALERIE'S VOICE MONTHLY TIPS: FREE: ASSESSING YOUR PROFESSIONAL PRESENCE QUIZ www.valerieandcompany.comCall Valerie to learn more about her leadership keynote speaking & workshops.Email Valerie to learn more about MONDAY MORNING LEADERSHIP FOR WOMEN COURSE CURRICULUM - valerie@valerieandcompany.comFollow Valerie Sokolosky Online: ⦁ Listen and watch Doing it Right the Stories that Make Us - ⦁ https://bit.ly/3EtAGMU⦁ Subscribe, rate, and write a review on Apple Podcast - ⦁ https://apple.co/2SHDDmo⦁ Subscribe on Google Podcast - www.youtube.com/valerie and company Social Media:⦁ Facebook: https://www.facebook.com/ValerieAndCompany⦁ Linked In: https://www.linkedin.com/in/valeriesokolosky/⦁ Twitter: https://twitter.com/valsokolosky?lang=enGet in touch:⦁ Visit our website: ⦁ https://www.valerieandcompany.com⦁ Email Valerie: ⦁ valerie@valerieandcompany.com⦁ Make an appointment: https://valerieandcompany.isonline.page/page/bookme ⦁ PICK UP THE PHONE 214-502-3334

Full Court Press: Liz Cambage Drama, WNBA Update, and Steph Curry Sings with Paramore  3-on-3: Adam's Three Best & Three Favorite Basketball Movies  That Actually Happened: A Deep Dive On Michael Jordan: Chaos In The Windy City Video Game  And Also: “Toronno”, Cooqbooq, Notes App Apologies, Kinko's, CandACE Parker, Carson Daly, Lionel Messi, Immaculate Grids, SNES, Roster Guard #99, Jichael Mordan, Polygons, Temple Guards, Dr. Dunk, Basketball Snakes   Sponsor: Tab for a Cause: Raise money for charity every time you open a new browser tab. Visit www.tabforacause.org/horse to start raising money today. Perfect for tab monsters like Adam!    Find Us Online - website: horsehoops.com - patreon: patreon.com/horsehoops - twitter: twitter.com/horse_hoops - instagram: instagram.com/horsehoops - facebook: facebook.com/horsehoops   HORSE is hosted by Mike Schubert and Adam Mamawala. Edited by Kensei Tsurumaki. Theme song by Bettina Campomanes. Art by Allyson Wakeman. Website by Kelly Schubert.   About Us On HORSE, we don't analyze wins and losses. We talk beefs (beeves?), dig into Internet drama, and have fun. The NBA is now a 365-day league and it's never been more present in pop culture. From Kevin Durant's burner accounts to LeBron taking his talents anywhere to trusting the Process, the NBA is becoming a pop culture requirement. At the same time, sports can have gatekeepers that make it insular and frustrating for people who aren't die hard fans. We're here to prove that basketball is entertaining to follow for all fans, whether you're actively watching the games or not. Recently featured in The New York Times!

Download Episode 888 – We’ve got ourselves news, reviews, and a LadyMagritte on the show, so let’s get started!The show kicks off with Jacob Garner & Aki on hand to welcome Bri “LadyMagritte” Galgano back to the show to hang out and chat about the Microsoft/Activision merger news of the week including the then breaking news that the FTC’s appeal got shot down. We also chat about the latest additions to the PlayStation Plus Premium and Extra tiers, the Limited Run Games showcase, and the ID@Xbox showcase on IGN! Plus reviews!0:00 - Intro/News34:21 - Scarf - Uprising Studios, HandyGames (Jacob & Bri)44:12 - Super Trunko Go - 88 Polygons, Dolores Entertainment (Jacob)49:00 - Deadliest Catch: The Game - 4Fishing, Ultimate Games (Jacob)53:33 - The Outer Worlds: Spacer’s Choice Edition - Obsidian, Private Division (Aki)The show ends with some Ducktales “Moon” goodness from Moiré Effect!1:03:43 - Moiré Effect - To the Moon (Ducktales)https://uprising-studios.com/https://www.handy-games.com/https://88polygons.com/http://doloresentertainment.com/https://ultimate-games.com/https://www.obsidian.net/https://www.privatedivision.com/https://twitter.com/MoireEffectbandhttps://www.keymailer.co/https://itunes.apple.com/us/podcast/the-sml-podcast/id826998112https://open.spotify.com/show/6KQpzHeLsoyVy6Ln2ebNwKhttps://twitter.com/theSMLpodcast/https://www.facebook.com/theSMLpodcast/https://store.streamelements.com/thesmlpodcastALL REVIEWED GAMES HAVE BEEN PROVIDED FOR FREE FOR THE PURPOSE OF ANY COVERAGE ON THE SHOW#PS5 #Xbox #Switch #Keymailer

2023 is the year of Multimodal AI, and Latent Space is going multimodal too! * This podcast comes with a video demo at the 1hr mark and it's a good excuse to launch our YouTube - please subscribe! * We are also holding two events in San Francisco — the first AI | UX meetup next week (already full; we'll send a recap here on the newsletter) and Latent Space Liftoff Day on May 4th (signup here; but get in touch if you have a high profile launch you'd like to make). * We also joined the Chroma/OpenAI ChatGPT Plugins Hackathon last week where we won the Turing and Replit awards and met some of you in person!This post featured on Hacker News.Out of the five senses of the human body, I'd put sight at the very top. But weirdly when it comes to AI, Computer Vision has felt left out of the recent wave compared to image generation, text reasoning, and even audio transcription. We got our first taste of it with the OCR capabilities demo in the GPT-4 Developer Livestream, but to date GPT-4's vision capability has not yet been released. Meta AI leapfrogged OpenAI and everyone else by fully open sourcing their Segment Anything Model (SAM) last week, complete with paper, model, weights, data (6x more images and 400x more masks than OpenImages), and a very slick demo website. This is a marked change to their previous LLaMA release, which was not commercially licensed. The response has been ecstatic:SAM was the talk of the town at the ChatGPT Plugins Hackathon and I was fortunate enough to book Joseph Nelson who was frantically integrating SAM into Roboflow this past weekend. As a passionate instructor, hacker, and founder, Joseph is possibly the single best person in the world to bring the rest of us up to speed on the state of Computer Vision and the implications of SAM. I was already a fan of him from his previous pod with (hopefully future guest) Beyang Liu of Sourcegraph, so this served as a personal catchup as well. Enjoy! and let us know what other news/models/guests you'd like to have us discuss! - swyxRecorded in-person at the beautiful StudioPod studios in San Francisco.Full transcript is below the fold.Show Notes* Joseph's links: Twitter, Linkedin, Personal* Sourcegraph Podcast and Game Theory Story* Represently* Roboflow at Pioneer and YCombinator* Udacity Self Driving Car dataset story* Computer Vision Annotation Formats* SAM recap - top things to know for those living in a cave* https://segment-anything.com/* https://segment-anything.com/demo* https://arxiv.org/pdf/2304.02643.pdf * https://ai.facebook.com/blog/segment-anything-foundation-model-image-segmentation/* https://blog.roboflow.com/segment-anything-breakdown/* https://ai.facebook.com/datasets/segment-anything/* Ask Roboflow https://ask.roboflow.ai/* GPT-4 Multimodal https://blog.roboflow.com/gpt-4-impact-speculation/Cut for time:* WSJ mention* Des Moines Register story* All In Pod: timestamped mention* In Forbes: underrepresented investors in Series A* Roboflow greatest hits* https://blog.roboflow.com/mountain-dew-contest-computer-vision/* https://blog.roboflow.com/self-driving-car-dataset-missing-pedestrians/* https://blog.roboflow.com/nerualhash-collision/ and Apple CSAM issue * https://www.rf100.org/Timestamps* [00:00:19] Introducing Joseph* [00:02:28] Why Iowa* [00:05:52] Origin of Roboflow* [00:16:12] Why Computer Vision* [00:17:50] Computer Vision Use Cases* [00:26:15] The Economics of Annotation/Segmentation* [00:32:17] Computer Vision Annotation Formats* [00:36:41] Intro to Computer Vision & Segmentation* [00:39:08] YOLO* [00:44:44] World Knowledge of Foundation Models* [00:46:21] Segment Anything Model* [00:51:29] SAM: Zero Shot Transfer* [00:51:53] SAM: Promptability* [00:53:24] SAM: Model Assisted Labeling* [00:56:03] SAM doesn't have labels* [00:59:23] Labeling on the Browser* [01:00:28] Roboflow + SAM Video Demo * [01:07:27] Future Predictions* [01:08:04] GPT4 Multimodality* [01:09:27] Remaining Hard Problems* [01:13:57] Ask Roboflow (2019)* [01:15:26] How to keep up in AITranscripts[00:00:00] Hello everyone. It is me swyx and I'm here with Joseph Nelson. Hey, welcome to the studio. It's nice. Thanks so much having me. We, uh, have a professional setup in here.[00:00:19] Introducing Joseph[00:00:19] Joseph, you and I have known each other online for a little bit. I first heard about you on the Source Graph podcast with bian and I highly, highly recommend that there's a really good game theory story that is the best YC application story I've ever heard and I won't tease further cuz they should go listen to that.[00:00:36] What do you think? It's a good story. It's a good story. It's a good story. So you got your Bachelor of Economics from George Washington, by the way. Fun fact. I'm also an econ major as well. You are very politically active, I guess you, you did a lot of, um, interning in political offices and you were responding to, um, the, the, the sheer amount of load that the Congress people have in terms of the, the support.[00:01:00] So you built, representing, which is Zendesk for Congress. And, uh, I liked in your source guide podcast how you talked about how being more responsive to, to constituents is always a good thing no matter what side of the aisle you're on. You also had a sideline as a data science instructor at General Assembly.[00:01:18] As a consultant in your own consultancy, and you also did a bunch of hackathon stuff with Magic Sudoku, which is your transition from N L P into computer vision. And apparently at TechCrunch Disrupt, disrupt in 2019, you tried to add chess and that was your whole villain origin story for, Hey, computer vision's too hard.[00:01:36] That's full, the platform to do that. Uh, and now you're co-founder c e o of RoboFlow. So that's your bio. Um, what's not in there that[00:01:43] people should know about you? One key thing that people realize within maybe five minutes of meeting me, uh, I'm from Iowa. Yes. And it's like a funnily novel thing. I mean, you know, growing up in Iowa, it's like everyone you know is from Iowa.[00:01:56] But then when I left to go to school, there was not that many Iowans at gw and people were like, oh, like you're, you're Iowa Joe. Like, you know, how'd you find out about this school out here? I was like, oh, well the Pony Express was running that day, so I was able to send. So I really like to lean into it.[00:02:11] And so you kind of become a default ambassador for places that. People don't meet a lot of other people from, so I've kind of taken that upon myself to just make it be a, a part of my identity. So, you know, my handle everywhere Joseph of Iowa, like I I, you can probably find my social security number just from knowing that that's my handle.[00:02:25] Cuz I put it plastered everywhere. So that's, that's probably like one thing.[00:02:28] Why Iowa[00:02:28] What's your best pitch for Iowa? Like why is[00:02:30] Iowa awesome? The people Iowa's filled with people that genuinely care. You know, if you're waiting a long line, someone's gonna strike up a conversation, kinda ask how you were Devrel and it's just like a really genuine place.[00:02:40] It was a wonderful place to grow up too at the time, you know, I thought it was like, uh, yeah, I was kind of embarrassed and then be from there. And then I actually kinda looking back it's like, wow, you know, there's good schools, smart people friendly. The, uh, high school that I went to actually Ben Silverman, the CEO and, or I guess former CEO and co-founder of Pinterest and I have the same teachers in high school at different.[00:03:01] The co-founder, or excuse me, the creator of crispr, the gene editing technique, Dr. Jennifer. Doudna. Oh, so that's the patent debate. There's Doudna. Oh, and then there's Fang Zang. Uh, okay. Yeah. Yeah. So Dr. Fang Zang, who I think ultimately won the patent war, uh, but is also from the same high school.[00:03:18] Well, she won the patent, but Jennifer won the[00:03:20] prize.[00:03:21] I think that's probably, I think that's probably, I, I mean I looked into it a little closely. I think it was something like she won the patent for CRISPR first existing and then Feng got it for, uh, first use on humans, which I guess for commercial reasons is the, perhaps more, more interesting one. But I dunno, biolife Sciences, is that my area of expertise?[00:03:38] Yep. Knowing people that came from Iowa that do cool things, certainly is. Yes. So I'll claim it. Um, but yeah, I, I, we, um, at Roble actually, we're, we're bringing the full team to Iowa for the very first time this last week of, of April. And, well, folks from like Scotland all over, that's your company[00:03:54] retreat.[00:03:54] The Iowa,[00:03:55] yeah. Nice. Well, so we do two a year. You know, we've done Miami, we've done. Some of the smaller teams have done like Nashville or Austin or these sorts of places, but we said, you know, let's bring it back to kinda the origin and the roots. Uh, and we'll, we'll bring the full team to, to Des Moines, Iowa.[00:04:13] So, yeah, like I was mentioning, folks from California to Scotland and many places in between are all gonna descend upon Des Moines for a week of, uh, learning and working. So maybe you can check in with those folks. If, what do they, what do they decide and interpret about what's cool. Our state. Well, one thing, are you actually headquartered in Des Moines on paper?[00:04:30] Yes. Yeah.[00:04:30] Isn't that amazing? That's like everyone's Delaware and you're like,[00:04:33] so doing research. Well, we're, we're incorporated in Delaware. Okay. We we're Delaware Sea like, uh, most companies, but our headquarters Yeah. Is in Des Moines. And part of that's a few things. One, it's like, you know, there's this nice Iowa pride.[00:04:43] And second is, uh, Brad and I both grew up in Brad Mc, co-founder and I grew up in, in Des Moines. And we met each other in the year 2000. We looked it up for the, the YC app. So, you know, I think, I guess more of my life I've known Brad than not, uh, which is kind of crazy. Wow. And during yc, we did it during 2020, so it was like the height of Covid.[00:05:01] And so we actually got a house in Des Moines and lived, worked outta there. I mean, more credit to. So I moved back. I was living in DC at the time, I moved back to to Des Moines. Brad was living in Des Moines, but he moved out of a house with his. To move into what we called our hacker house. And then we had one, uh, member of the team as well, Jacob Sorowitz, who moved from Minneapolis down to Des Moines for the summer.[00:05:21] And frankly, uh, code was a great time to, to build a YC company cuz there wasn't much else to do. I mean, it's kinda like wash your groceries and code. It's sort of the, that was the routine[00:05:30] and you can use, uh, computer vision to help with your groceries as well.[00:05:33] That's exactly right. Tell me what to make.[00:05:35] What's in my fridge? What should I cook? Oh, we'll, we'll, we'll cover[00:05:37] that for with the G P T four, uh, stuff. Exactly. Okay. So you have been featured with in a lot of press events. Uh, but maybe we'll just cover the origin story a little bit in a little bit more detail. So we'll, we'll cover robo flow and then we'll cover, we'll go into segment anything.[00:05:52] Origin of Roboflow[00:05:52] But, uh, I think it's important for people to understand. Robo just because it gives people context for what you're about to show us at the end of the podcast. So Magic Sudoku tc, uh, techers Disrupt, and then you go, you join Pioneer, which is Dan Gross's, um, YC before yc.[00:06:07] Yeah. That's how I think about it.[00:06:08] Yeah, that's a good way. That's a good description of it. Yeah. So I mean, robo flow kind of starts as you mentioned with this magic Sudoku thing. So you mentioned one of my prior business was a company called Represent, and you nailed it. I mean, US Congress gets 80 million messages a year. We built tools that auto sorted them.[00:06:23] They didn't use any intelligent auto sorting. And this is somewhat a solved problem in natural language processing of doing topic modeling or grouping together similar sentiment and things like this. And as you mentioned, I'd like, I worked in DC for a bit and been exposed to some of these problems and when I was like, oh, you know, with programming you can build solutions.[00:06:40] And I think the US Congress is, you know, the US kind of United States is a support center, if you will, and the United States is sports center runs on pretty old software, so mm-hmm. We, um, we built a product for that. It was actually at the time when I was working on representing. Brad, his prior business, um, is a social games company called Hatchlings.[00:07:00] Uh, he phoned me in, in 2017, apple had released augmented reality kit AR kit. And Brad and I are both kind of serial hackers, like I like to go to hackathons, don't really understand new technology until he build something with them type folks. And when AR Kit came out, Brad decided he wanted to build a game with it that would solve Sudoku puzzles.[00:07:19] And the idea of the game would be you take your phone, you hover hold it over top of a Sudoku puzzle, it recognizes the state of the board where it is, and then it fills it all in just right before your eyes. And he phoned me and I was like, Brad, this sounds awesome and sounds like you kinda got it figured out.[00:07:34] What, what's, uh, what, what do you think I can do here? It's like, well, the machine learning piece of this is the part that I'm most uncertain about. Uh, doing the digit recognition and, um, filling in some of those results. I was like, well, I mean digit recognition's like the hell of world of, of computer vision.[00:07:48] That's Yeah, yeah, MNIST, right. So I was like, that that part should be the, the easy part. I was like, ah, I'm, he's like, I'm not so super sure, but. You know, the other parts, the mobile ar game mechanics, I've got pretty well figured out. I was like, I, I think you're wrong. I think you're thinking about the hard part is the easy part.[00:08:02] And he is like, no, you're wrong. The hard part is the easy part. And so long story short, we built this thing and released Magic Sudoku and it kind of caught the Internet's attention of what you could do with augmented reality and, and with computer vision. It, you know, made it to the front ofer and some subreddits it run Product Hunt Air app of the year.[00:08:20] And it was really a, a flash in the pan type app, right? Like we were both running separate companies at the time and mostly wanted to toy around with, with new technology. And, um, kind of a fun fact about Magic Sudoku winning product Hunt Air app of the year. That was the same year that I think the model three came out.[00:08:34] And so Elon Musk won a Golden Kitty who we joked that we share an award with, with Elon Musk. Um, the thinking there was that this is gonna set off a, a revolution of if two random engineers can put together something that makes something, makes a game programmable and at interactive, then surely lots of other engineers will.[00:08:53] Do similar of adding programmable layers on top of real world objects around us. Earlier we were joking about objects in your fridge, you know, and automatically generating recipes and these sorts of things. And like I said, that was 2017. Roboflow was actually co-found, or I guess like incorporated in, in 2019.[00:09:09] So we put this out there, nothing really happened. We went back to our day jobs of, of running our respective businesses, I sold Represently and then as you mentioned, kind of did like consulting stuff to figure out the next sort of thing to, to work on, to get exposed to various problems. Brad appointed a new CEO at his prior business and we got together that summer of 2019.[00:09:27] We said, Hey, you know, maybe we should return to that idea that caught a lot of people's attention and shows what's possible. And you know what, what kind of gives, like the future is here. And we have no one's done anything since. No one's done anything. So why is, why are there not these, these apps proliferated everywhere.[00:09:42] Yeah. And so we said, you know, what we'll do is, um, to add this software layer to the real world. Will build, um, kinda like a super app where if you pointed it at anything, it will recognize it and then you can interact with it. We'll release a developer platform and allow people to make their own interfaces, interactivity for whatever object they're looking at.[00:10:04] And we decided to start with board games because one, we had a little bit of history there with, with Sudoku two, there's social by default. So if one person, you know finds it, then they'd probably share it among their friend. Group three. There's actually relatively few barriers to entry aside from like, you know, using someone else's brand name in your, your marketing materials.[00:10:19] Yeah. But other than that, there's no real, uh, inhibitors to getting things going and, and four, it's, it's just fun. It would be something that'd be bring us enjoyment to work on. So we spent that summer making, uh, boggle the four by four word game provable, where, you know, unlike Magic Sudoku, which to be clear, totally ruins the game, uh, you, you have to solve Sudoku puzzle.[00:10:40] You don't need to do anything else. But with Boggle, if you and I are playing, we might not find all of the words that adjacent letter tiles. Unveil. So if we have a, an AI tell us, Hey, here's like the best combination of letters that make high scoring words. And so we, we made boggle and released it and that, and that did okay.[00:10:56] I mean maybe the most interesting story was there's a English as a second language program in, in Canada that picked it up and used it as a part of their curriculum to like build vocabulary, which I thought was kind of inspiring. Example, and what happens just when you put things on the internet and then.[00:11:09] We wanted to build one for chess. So this is where you mentioned we went to 2019. TechCrunch Disrupt TechCrunch. Disrupt holds a Hackathon. And this is actually, you know, when Brad and I say we really became co-founders, because we fly out to San Francisco, we rent a hotel room in the Tenderloin. We, uh, we, we, uh, have one room and there's like one, there's room for one bed, and then we're like, oh, you said there was a cot, you know, on the, on the listing.[00:11:32] So they like give us a little, a little cot, the end of the cot, like bled and over into like the bathroom. So like there I am sleeping on the cot with like my head in the bathroom and the Tenderloin, you know, fortunately we're at a hackathon glamorous. Yeah. There wasn't, there wasn't a ton of sleep to be had.[00:11:46] There is, you know, we're, we're just like making and, and shipping these, these sorts of many[00:11:50] people with this hack. So I've never been to one of these things, but[00:11:52] they're huge. Right? Yeah. The Disrupt Hackathon, um, I don't, I don't know numbers, but few hundreds, you know, classically had been a place where it launched a lot of famous Yeah.[00:12:01] Sort of flare. Yeah. And I think it's, you know, kind of slowed down as a place for true company generation. But for us, Brad and I, who likes just doing hackathons, being, making things in compressed time skills, it seemed like a, a fun thing to do. And like I said, we'd been working on things, but it was only there that like, you're, you're stuck in a maybe not so great glamorous situation together and you're just there to make a, a program and you wanna make it be the best and compete against others.[00:12:26] And so we add support to the app that we were called was called Board Boss. We couldn't call it anything with Boggle cause of IP rights were called. So we called it Board Boss and it supported Boggle and then we were gonna support chess, which, you know, has no IP rights around it. Uh, it's an open game.[00:12:39] And we did so in 48 hours, we built an app that, or added fit capability to. Point your phone at a chess board. It understands the state of the chess board and converts it to um, a known notation. Then it passes that to stock fish, the open source chess engine for making move recommendations and it makes move recommendations to, to players.[00:13:00] So you could either play against like an ammunition to AI or improve your own game. We learn that one of the key ways users like to use this was just to record their games. Cuz it's almost like reviewing game film of what you should have done differently. Game. Yeah, yeah, exactly. And I guess the highlight of, uh, of chess Boss was, you know, we get to the first round of judging, we get to the second round of judging.[00:13:16] And during the second round of judging, that's when like, TechCrunch kind of brings around like some like celebs and stuff. They'll come by. Evan Spiegel drops by Ooh. Oh, and he uh, he comes up to our, our, our booth and um, he's like, oh, so what does, what does this all do? And you know, he takes an interest in it cuz the underpinnings of, of AR interacting with the.[00:13:33] And, uh, he is kinda like, you know, I could use this to like cheat on chess with my friends. And we're like, well, you know, that wasn't exactly the, the thesis of why we made it, but glad that, uh, at least you think it's kind of neat. Um, wait, but he already started Snapchat by then? Oh, yeah. Oh yeah. This, this is 2019, I think.[00:13:49] Oh, okay, okay. Yeah, he was kind of just checking out things that were new and, and judging didn't end up winning any, um, awards within Disrupt, but I think what we won was actually. Maybe more important maybe like the, the quote, like the co-founders medal along the way. Yep. The friends we made along the way there we go to, to play to the meme.[00:14:06] I would've preferred to win, to be clear. Yes. You played a win. So you did win, uh,[00:14:11] $15,000 from some Des Moines, uh, con[00:14:14] contest. Yeah. Yeah. The, uh, that was nice. Yeah. Slightly after that we did, we did win. Um, some, some grants and some other things for some of the work that we've been doing. John Papa John supporting the, uh, the local tech scene.[00:14:24] Yeah. Well, so there's not the one you're thinking of. Okay. Uh, there's a guy whose name is Papa John, like that's his, that's his, that's his last name. His first name is John. So it's not the Papa John's you're thinking of that has some problematic undertones. It's like this guy who's totally different. I feel bad for him.[00:14:38] His press must just be like, oh, uh, all over the place. But yeah, he's this figure in the Iowa entrepreneurial scene who, um, he actually was like doing SPACs before they were cool and these sorts of things, but yeah, he funds like grants that encourage entrepreneurship in the state. And since we'd done YC and in the state, we were eligible for some of the awards that they were providing.[00:14:56] But yeah, it was disrupt that we realized, you know, um, the tools that we made, you know, it took us better part of a summer to add Boggle support and it took us 48 hours to add chest support. So adding the ability for programmable interfaces for any object, we built a lot of those internal tools and our apps were kind of doing like the very famous shark fin where like it picks up really fast, then it kind of like slowly peters off.[00:15:20] Mm-hmm. And so we're like, okay, if we're getting these like shark fin graphs, we gotta try something different. Um, there's something different. I remember like the week before Thanksgiving 2019 sitting down and we wrote this Readme for, actually it's still the Readme at the base repo of Robo Flow today has spent relatively unedited of the manifesto.[00:15:36] Like, we're gonna build tools that enable people to make the world programmable. And there's like six phases and, you know, there's still, uh, many, many, many phases to go into what we wrote even at that time to, to present. But it's largely been, um, right in line with what we thought we would, we would do, which is give engineers the tools to add software to real world objects, which is largely predicated on computer vision. So finding the right images, getting the right sorts of video frames, maybe annotating them, uh, finding the right sort of models to use to do this, monitoring the performance, all these sorts of things. And that from, I mean, we released that in early 2020, and it's kind of, that's what's really started to click.[00:16:12] Why Computer Vision[00:16:12] Awesome. I think we should just kind[00:16:13] of[00:16:14] go right into where you are today and like the, the products that you offer, just just to give people an overview and then we can go into the, the SAM stuff. So what is the clear, concise elevator pitch? I think you mentioned a bunch of things like make the world programmable so you don't ha like computer vision is a means to an end.[00:16:30] Like there's, there's something beyond that. Yeah.[00:16:32] I mean, the, the big picture mission for the business and the company and what we're working on is, is making the world programmable, making it read and write and interactive, kind of more entertaining, more e. More fun and computer vision is the technology by which we can achieve that pretty quickly.[00:16:48] So like the one liner for the, the product in, in the company is providing engineers with the tools for data and models to build programmable interfaces. Um, and that can be workflows, that could be the, uh, data processing, it could be the actual model training. But yeah, Rob helps you use production ready computer vision workflows fast.[00:17:10] And I like that.[00:17:11] In part of your other pitch that I've heard, uh, is that you basically scale from the very smallest scales to the very largest scales, right? Like the sort of microbiology use case all the way to[00:17:20] astronomy. Yeah. Yeah. The, the joke that I like to make is like anything, um, underneath a microscope and, and through a telescope and everything in between needs to, needs to be seen.[00:17:27] I mean, we have people that run models in outer space, uh, underwater remote places under supervision and, and known places. The crazy thing is that like, All parts of, of not just the world, but the universe need to be observed and understood and acted upon. So vision is gonna be, I dunno, I feel like we're in the very, very, very beginnings of all the ways we're gonna see it.[00:17:50] Computer Vision Use Cases[00:17:50] Awesome. Let's go into a lo a few like top use cases, cuz I think that really helps to like highlight the big names that you've, big logos that you've already got. I've got Walmart and Cardinal Health, but I don't, I don't know if you wanna pull out any other names, like, just to illustrate, because the reason by the way, the reason I think that a lot of developers don't get into computer vision is because they think they don't need it.[00:18:11] Um, or they think like, oh, like when I do robotics, I'll do it. But I think if, if you see like the breadth of use cases, then you get a little bit more inspiration as to like, oh, I can use[00:18:19] CVS lfa. Yeah. It's kind of like, um, you know, by giving, by making it be so straightforward to use vision, it becomes almost like a given that it's a set of features that you could power on top of it.[00:18:32] And like you mentioned, there's, yeah, there's Fortune One there over half the Fortune 100. I've used the, the tools that Robel provides just as much as 250,000 developers. And so over a quarter million engineers finding and developing and creating various apps, and I mean, those apps are, are, are far and wide.[00:18:49] Just as you mentioned. I mean everything from say, like, one I like to talk about was like sushi detection of like finding the like right sorts of fish and ingredients that are in a given piece of, of sushi that you're looking at to say like roof estimation of like finding. If there's like, uh, hail damage on, on a given roof, of course, self-driving cars and understanding the scenes around us is sort of the, you know, very early computer vision everywhere.[00:19:13] Use case hardhat detection, like finding out if like a given workplace is, is, is safe, uh, disseminate, have the right p p p on or p p e on, are there the right distance from various machines? A huge place that vision has been used is environmental monitoring. Uh, what's the count of species? Can we verify that the environment's not changing in unexpected ways or like river banks are become, uh, becoming recessed in ways that we anticipate from satellite imagery, plant phenotyping.[00:19:37] I mean, people have used these apps for like understanding their plants and identifying them. And that dataset that's actually largely open, which is what's given a proliferation to the iNaturalist, is, is that whole, uh, hub of, of products. Lots of, um, people that do manufacturing. So, like Rivian for example, is a Rubal customer, and you know, they're trying to scale from 1000 cars to 25,000 cars to a hundred thousand cars in very short order.[00:20:00] And that relies on having the. Ability to visually ensure that every part that they're making is produced correctly and right in time. Medical use cases. You know, there's actually, this morning I was emailing with a user who's accelerating early cancer detection through breaking apart various parts of cells and doing counts of those cells.[00:20:23] And actually a lot of wet lab work that folks that are doing their PhDs or have done their PhDs are deeply familiar with that is often required to do very manually of, of counting, uh, micro plasms or, or things like this. There's. All sorts of, um, like traffic counting and smart cities use cases of understanding curb utilization to which sort of vehicles are, are present.[00:20:44] Uh, ooh. That can be[00:20:46] really good for city planning actually.[00:20:47] Yeah. I mean, one of our customers does exactly this. They, they measure and do they call it like smart curb utilization, where uhhuh, they wanna basically make a curb be almost like a dynamic space where like during these amounts of time, it's zoned for this during these amounts of times.[00:20:59] It's zoned for this based on the flows and e ebbs and flows of traffic throughout the day. So yeah, I mean the, the, the truth is that like, you're right, it's like a developer might be like, oh, how would I use vision? And then all of a sudden it's like, oh man, all these things are at my fingertips. Like I can just, everything you can see.[00:21:13] Yeah. Right. I can just, I can just add functionality for my app to understand and ingest the way, like, and usually the way that someone gets like almost nerd sniped into this is like, they have like a home automation project, so it's like send Yeah. Give us a few. Yeah. So send me a text when, um, a package shows up so I can like prevent package theft so I can like go down and grab it right away or.[00:21:29] We had a, uh, this one's pretty, pretty niche, but it's pretty funny. There was this guy who, during the pandemic wa, wanted to make sure his cat had like the proper, uh, workout. And so I've shared the story where he basically decided that. He'd make a cat workout machine with computer vision, you might be alone.[00:21:43] You're like, what does that look like? Well, what he decided was he would take a robotic arm strap, a laser pointer to it, and then train a machine to recognize his cat and his cat only, and point the laser pointer consistently 10 feet away from the cat. There's actually a video of you if you type an YouTube cat laser turret, you'll find Dave's video.[00:22:01] Uh, and hopefully Dave's cat has, has lost the weight that it needs to, cuz that's just the, that's an intense workout I have to say. But yeah, so like, that's like a, um, you know, these, uh, home automation projects are pretty common places for people to get into smart bird feeders. I've seen people that like are, are logging and understanding what sort of birds are, uh, in their background.[00:22:18] There's a member of our team that was working on actually this as, as a whole company and has open sourced a lot of the data for doing bird species identification. And now there's, I think there's even a company that's, uh, founded to create like a smart bird feeder, like captures photos and tells you which ones you've attracted to your yard.[00:22:32] I met that. Do, you know, get around the, uh, car sharing company that heard it? Them never used them. They did a SPAC last year and they had raised at like, They're unicorn. They raised at like 1.2 billion, I think in the, the prior round and inspected a similar price. I met the CTO of, of Getaround because he was, uh, using Rob Flow to hack into his Tesla cameras to identify other vehicles that are like often nearby him.[00:22:56] So he's basically building his own custom license plate recognition, and he just wanted like, keep, like, keep tabs of like, when he drives by his friends or when he sees like regular sorts of folks. And so he was doing like automated license plate recognition by tapping into his, uh, camera feeds. And by the way, Elliot's like one of the like OG hackers, he was, I think one of the very first people to like, um, she break iPhones and, and these sorts of things.[00:23:14] Mm-hmm. So yeah, the project that I want, uh, that I'm gonna work on right now for my new place in San Francisco is. There's two doors. There's like a gate and then the other door. And sometimes we like forget to close, close the gate. So like, basically if it sees that the gate is open, it'll like send us all a text or something like this to make sure that the gate is, is closed at the front of our house.[00:23:32] That's[00:23:32] really cool. And I'll, I'll call out one thing that readers and listeners can, uh, read out on, on your history. One of your most popular initial, um, viral blog post was about, um, autonomous vehicle data sets and how, uh, the one that Udacity was using was missing like one third of humans. And, uh, it's not, it's pretty problematic for cars to miss humans.[00:23:53] Yeah, yeah, actually, so yeah, the Udacity self-driving car data set, which look to their credit, it was just meant to be used for, for academic use. Um, and like as a part of courses on, on Udacity, right? Yeah. But the, the team that released it, kind of hastily labeled and let it go out there to just start to use and train some models.[00:24:11] I think that likely some, some, uh, maybe commercial use cases maybe may have come and, and used, uh, the dataset, who's to say? But Brad and I discovered this dataset. And when we were working on dataset improvement tools at Rob Flow, we ran through our tools and identified some like pretty, as you mentioned, key issues.[00:24:26] Like for example, a lot of strollers weren't labeled and I hope our self-driving cars do those, these sorts of things. And so we relabeled the whole dataset by hand. I have this very fond memory is February, 2020. Brad and I are in Taiwan. So like Covid is actually just, just getting going. And the reason we were there is we were like, Hey, we can work on this from anywhere for a little bit.[00:24:44] And so we spent like a, uh, let's go closer to Covid. Well, you know, I like to say we uh, we got early indicators of, uh, how bad it was gonna be. I bought a bunch of like N 90 fives before going o I remember going to the, the like buying a bunch of N 95 s and getting this craziest look like this like crazy tin hat guy.[00:25:04] Wow. What is he doing? And then here's how you knew. I, I also got got by how bad it was gonna be. I left all of them in Taiwan cuz it's like, oh, you all need these. We'll be fine over in the us. And then come to find out, of course that Taiwan was a lot better in terms of, um, I think, yeah. Safety. But anyway, we were in Taiwan because we had planned this trip and you know, at the time we weren't super sure about the, uh, covid, these sorts of things.[00:25:22] We always canceled it. We didn't, but I have this, this very specific time. Brad and I were riding on the train from Clay back to Taipei. It's like a four hour ride. And you mentioned Pioneer earlier, we were competing in Pioneer, which is almost like a gamified to-do list. Mm-hmm. Every week you say what you're gonna do and then other people evaluate.[00:25:37] Did you actually do the things you said you were going to do? One of the things we said we were gonna do was like this, I think re-release of this data set. And so it's like late, we'd had a whole week, like, you know, weekend behind us and, uh, we're on this train and it was very unpleasant situation, but we relabeled this, this data set, and one sitting got it submitted before like the Sunday, Sunday countdown clock starts voting for, for.[00:25:57] And, um, once that data got out back out there, just as you mentioned, it kind of picked up and Venture beat, um, noticed and wrote some stories about it. And we really rereleased of course, the data set that we did our best job of labeling. And now if anyone's listening, they can probably go out and like find some errors that we surely still have and maybe call us out and, you know, put us, put us on blast.[00:26:15] The Economics of Annotation (Segmentation)[00:26:15] But,[00:26:16] um, well, well the reason I like this story is because it, it draws attention to the idea that annotation is difficult and basically anyone looking to use computer vision in their business who may not have an off-the-shelf data set is going to have to get involved in annotation. And I don't know what it costs.[00:26:34] And that's probably one of the biggest hurdles for me to estimate how big a task this is. Right? So my question at a higher level is tell the customers, how do you tell customers to estimate the economics of annotation? Like how many images do, do we need? How much, how long is it gonna take? That, that kinda stuff.[00:26:50] How much money and then what are the nuances to doing it well, right? Like, cuz obviously Udacity had a poor quality job, you guys had proved it, and there's errors every everywhere. Like where do[00:26:59] these things go wrong? The really good news about annotation in general is that like annotation of course is a means to an end to have a model be able to recognize a thing.[00:27:08] Increasingly there's models that are coming out that can recognize things zero shot without any annotation, which we're gonna talk about. Yeah. Which, we'll, we'll talk more about that in a moment. But in general, the good news is that like the trend is that annotation is gonna become decreasingly a blocker to starting to use computer vision in meaningful ways.[00:27:24] Now that said, just as you mentioned, there's a lot of places where you still need to do. Annotation. I mean, even with these zero shot models, they might have of blind spots, or maybe you're a business, as you mentioned, that you know, it's proprietary data. Like only Rivian knows what a rivian is supposed to look like, right?[00:27:39] Uh, at the time of, at the time of it being produced, like underneath the hood and, and all these sorts of things. And so, yeah, that's gonna necessarily require annotation. So your question of how long is it gonna take, how do you estimate these sorts of things, it really comes down to the complexity of the problem that you're solving and the amount of variance in the scene.[00:27:57] So let's give some contextual examples. If you're trying to recognize, we'll say a scratch on one specific part and you have very strong lighting. You might need fewer images because you control the lighting, you know the exact part and maybe you're lucky in the scratch. Happens more often than not in similar parts or similar, uh, portions of the given part.[00:28:17] So in that context, you, you, the function of variance, the variance is, is, is lower. So the number of images you need is also lower to start getting up to work. Now the orders of magnitude we're talking about is that like you can have an initial like working model from like 30 to 50 images. Yeah. In this context, which is shockingly low.[00:28:32] Like I feel like there's kind of an open secret in computer vision now, the general heuristic that often. Users, is that like, you know, maybe 200 images per class is when you start to have a model that you can rely[00:28:45] on? Rely meaning like 90, 99, 90, 90%, um,[00:28:50] uh, like what's 85 plus 85? Okay. Um, that's good. Again, these are very, very finger in the wind estimates cuz the variance we're talking about.[00:28:59] But the real question is like, at what point, like the framing is not like at what point do it get to 99, right? The framing is at what point can I use this thing to be better than the alternative, which is humans, which maybe humans or maybe like this problem wasn't possible at all. And so usually the question isn't like, how do I get to 99?[00:29:15] A hundred percent? It's how do I ensure that like the value I am able to get from putting this thing in production is greater than the alternative? In fact, even if you have a model that's less accurate than humans, there might be some circumstances where you can tolerate, uh, a greater amount of inaccuracy.[00:29:32] And if you look at the accuracy relative to the cost, Using a model is extremely cheap. Using a human for the same sort of task can be very expensive. Now, in terms of the actual accuracy of of what you get, there's probably some point at which the cost, but relative accuracy exceeds of a model, exceeds the high cost and hopefully high accuracy of, of a human comparable, like for example, there's like cameras that will track soccer balls or track events happening during sporting matches.[00:30:02] And you can go through and you know, we actually have users that work in sports analytics. You can go through and have a human. Hours and hours of footage. Cuz not just watching their team, they're watching every other team, they're watching scouting teams, they're watching junior teams, they're watching competitors.[00:30:15] And you could have them like, you know, track and follow every single time the ball goes within blank region of the field or every time blank player goes into, uh, this portion of the field. And you could have, you know, exact, like a hundred percent accuracy if that person, maybe, maybe not a hundred, a human may be like 95, 90 7% accuracy of every single time the ball is in this region or this player is on the field.[00:30:36] Truthfully, maybe if you're scouting analytics, you actually don't need 97% accuracy of knowing that that player is on the field. And in fact, if you can just have a model run at a 1000th, a 10000th of the cost and goes through and finds all the times that Messi was present on the field mm-hmm. That the ball was in this region of the.[00:30:54] Then even if that model is slightly less accurate, the cost is just so orders of magnitude different. And the stakes like the stakes of this problem, of knowing like the total number of minutes that Messi played will say are such that we have a higher air tolerance, that it's a no-brainer to start to use Yeah, a computer vision model in this context.[00:31:12] So not every problem requires equivalent or greater human performance. Even when it does, you'd be surprised at how fast models get there. And in the times when you, uh, really look at a problem, the question is, how much accuracy do I need to start to get value from this? This thing, like the package example is a great one, right?[00:31:27] Like I could in theory set up a camera that's constantly watching in front of my porch and I could watch the camera whenever I have a package and then go down. But of course, I'm not gonna do that. I value my time to do other sorts of things instead. And so like there, there's this net new capability of, oh, great, I can have an always on thing that tells me when a package shows up, even if you know the, the thing that's gonna text me.[00:31:46] When a package shows up, let's say a flat pack shows up instead of a box and it doesn't know what a flat pack likes, looks like initially. Doesn't matter. It doesn't matter because I didn't have this capability at all before. And I think that's the true case where a lot of computer vision problems exist is like it.[00:32:00] It's like you didn't even have this capability, this superpower before at all, let alone assigning a given human to do the task. And that's where we see like this explosion of, of value.[00:32:10] Awesome. Awesome. That was a really good overview. I want to leave time for the others, but I, I really want to dive into a couple more things with regards to Robo Flow.[00:32:17] Computer Vision Annotation Formats[00:32:17] So one is, apparently your original pitch for Robo Flow was with regards to conversion tools for computer vision data sets. And I'm sure as, as a result of your job, you have a lot of rants. I've been digging for rants basically on like the best or the worst annotation formats. What do we know? Cause most of us, oh my gosh, we only know, like, you know, I like,[00:32:38] okay, so when we talk about computer vision annotation formats, what we're talking about is if you have an image and you, you picture a boing box around my face on that image.[00:32:46] Yeah. How do you describe where that Monty box is? X, Y, Z X Y coordinates. Okay. X, y coordinates. How, what do you mean from the top lefts.[00:32:52] Okay. You, you, you, you take X and Y and then, and then the. The length and, and the width of the, the[00:32:58] box. Okay. So you got like a top left coordinate and like the bottom right coordinate or like the, the center of the bottom.[00:33:02] Yeah. Yeah. Top, left, bottom right. Yeah. That's one type of format. Okay. But then, um, I come along and I'm like, you know what? I want to do a different format where I wanna just put the center of the box, right. And give the length and width. Right. And by the way, we didn't even talk about what X and Y we're talking about.[00:33:14] Is X a pixel count? Is a relative pixel count? Is it an absolute pixel count? So the point is, the number of ways to describe where a box lives in a freaking image is endless, uh, seemingly and. Everyone decided to kind of create their own different ways of describing the coordinates and positions of where in this context of bounding Box is present.[00:33:39] Uh, so there's some formats, for example, that like use re, so for the x and y, like Y is, uh, like the left, most part of the image is zero. And the right most part of the image is one. So the, the coordinate is like anywhere from zero to one. So 0.6 is, you know, 60% of your way right up the image to describe the coordinate.[00:33:53] I guess that was, that was X instead of Y. But the point is there, of the zero to one is the way that we determined where that was in the position, or we're gonna do an absolute pixel position anyway. We got sick, we got sick of all these different annotation formats. So why do you even have to convert between formats?[00:34:07] Is is another part of this, this story. So different training frameworks, like if you're using TensorFlow, you need like TF Records. If you're using PyTorch, it's probably gonna be, well it depends on like what model you're using, but someone might use Coco JSON with PyTorch. Someone else might use like a, just a YAML file and a text file.[00:34:21] And to describe the cor it's point is everyone that creates a model. Or creates a dataset rather, has created different ways of describing where and how a bounding box is present in the image. And we got sick of all these different formats and doing these in writing all these different converter scripts.[00:34:39] And so we made a tool that just converts from one script, one type of format to another. And the, the key thing is that like if you get that converter script wrong, your model doesn't not work. It just fails silently. Yeah. Because the bounding boxes are now all in the wrong places. And so you need a way to visualize and be sure that your converter script, blah, blah blah.[00:34:54] So that was the very first tool we released of robo. It was just a converter script, you know, like these, like these PDF to word converters that you find. It was basically that for computer vision, like dead simple, really annoying thing. And we put it out there and people found some, some value in, in that.[00:35:08] And you know, to this day that's still like a surprisingly painful[00:35:11] problem. Um, yeah, so you and I met at the Dall-E Hackathon at OpenAI, and we were, I was trying to implement this like face masking thing, and I immediately ran into that problem because, um, you know, the, the parameters that Dall-E expected were different from the one that I got from my face, uh, facial detection thing.[00:35:28] One day it'll go away, but that day is not today. Uh, the worst format that we work with is, is. The mart form, it just makes no sense. And it's like, I think, I think it's a one off annotation format that this university in China started to use to describe where annotations exist in a book mart. I, I don't know, I dunno why that So best[00:35:45] would be TF record or some something similar.[00:35:48] Yeah, I think like, here's your chance to like tell everybody to use one one standard and like, let's, let's, can[00:35:53] I just tell them to use, we have a package that does this for you. I'm just gonna tell you to use the row full package that converts them all, uh, for you. So you don't have to think about this. I mean, Coco JSON is pretty good.[00:36:04] It's like one of the larger industry norms and you know, it's in JS O compared to like V xml, which is an XML format and Coco json is pretty descriptive, but you know, it has, has its own sort of drawbacks and flaws and has random like, attribute, I dunno. Um, yeah, I think the best way to handle this problem is to not have to think about it, which is what we did.[00:36:21] We just created a, uh, library that, that converts and uses things. Uh, for us. We've double checked the heck out of it. There's been hundreds of thousands of people that have used the library and battle tested all these different formats to find those silent errors. So I feel pretty good about no longer having to have a favorite format and instead just rely on.[00:36:38] Dot load in the format that I need. Great[00:36:41] Intro to Computer Vision Segmentation[00:36:41] service to the community. Yeah. Let's go into segmentation because is at the top of everyone's minds, but before we get into segment, anything, I feel like we need a little bit of context on the state-of-the-art prior to Sam, which seems to be YOLO and uh, you are the leading expert as far as I know.[00:36:56] Yeah.[00:36:57] Computer vision, there's various task types. There's classification problems where we just like assign tags to images, like, you know, maybe safe work, not safe work, sort of tagging sort of stuff. Or we have object detection, which are the boing boxes that you see and all the formats I was mentioning in ranting about there's instant segmentation, which is the polygon shapes and produces really, really good looking demos.[00:37:19] So a lot of people like instant segmentation.[00:37:21] This would be like counting pills when you point 'em out on the, on the table. Yeah. So, or[00:37:25] soccer players on the field. So interestingly, um, counting you could do with bounding boxes. Okay. Cause you could just say, you know, a box around a person. Well, I could count, you know, 12 players on the field.[00:37:35] Masks are most useful. Polygons are most useful if you need very precise area measurements. So you have an aerial photo of a home and you want to know, and the home's not a perfect box, and you want to know the rough square footage of that home. Well, if you know the distance between like the drone and, and the ground.[00:37:53] And you have the precise polygon shape of the home, then you can calculate how big that home is from aerial photos. And then insurers can, you know, provide say accurate estimates and that's maybe why this is useful. So polygons and, and instant segmentation are, are those types of tasks? There's a key point detection task and key point is, you know, if you've seen those demos of like all the joints on like a hand kind of, kind of outlined, there's visual question answering tasks, visual q and a.[00:38:21] And that's like, you know, some of the stuff that multi-modality is absolutely crushing for, you know, here's an image, tell me what food is in this image. And then you can pass that and you can make a recipe out of it. But like, um, yeah, the visual question in answering task type is where multi-modality is gonna have and is already having an enormous impact.[00:38:40] So that's not a comprehensive survey, very problem type, but it's enough to, to go into why SAM is significant. So these various task types, you know, which model to use for which given circumstance. Most things is highly dependent on what you're ultimately aiming to do. Like if you need to run a model on the edge, you're gonna need a smaller model, cuz it is gonna run on edge, compute and process in, in, in real time.[00:39:01] If you're gonna run a model on the cloud, then of course you, uh, generally have more compute at your disposal Considerations like this now, uh,[00:39:08] YOLO[00:39:08] just to pause. Yeah. Do you have to explain YOLO first before you go to Sam, or[00:39:11] Yeah, yeah, sure. So, yeah. Yeah, we should. So object detection world. So for a while I talked about various different task types and you can kinda think about a slide scale of like classification, then obvious detection.[00:39:20] And on the right, at most point you have like segmentation tasks. Object detection. The bounding boxes is especially useful for a wide, like it's, it's surprisingly versatile. Whereas like classification is kind of brittle. Like you only have a tag for the whole image. Well, that doesn't, you can't count things with tags.[00:39:35] And on the other hand, like the mask side of things, like drawing masks is painstaking. And so like labeling is just a bit more difficult. Plus like the processing to produce masks requires more compute. And so usually a lot of folks kind of landed for a long time on obvious detection being a really happy medium of affording you with rich capabilities because you can do things like count, track, measure.[00:39:56] In some CAGR context with bounding boxes, you can see how many things are present. You can actually get a sense of how fast something's moving by tracking the object or bounding box across multiple frames and comparing the timestamp of where it was across those frames. So obviously detection is a very common task type that solves lots of things that you want do with a given model.[00:40:15] In obviously detection. There's been various model frameworks over time. So kind of really early on there's like R-CNN uh, then there's faster rc n n and these sorts of family models, which are based on like resnet kind of architectures. And then a big thing happens, and that is single shot detectors. So faster, rc n n despite its name is, is very slow cuz it takes two passes on the image.[00:40:37] Uh, the first pass is, it finds par pixels in the image that are most interesting to, uh, create a bounding box candidate out of. And then it passes that to a, a classifier that then does classification of the bounding box of interest. Right. Yeah. You can see, you can see why that would be slow. Yeah. Cause you have to do two passes.[00:40:53] You know, kind of actually led by, uh, like mobile net was I think the first large, uh, single shot detector. And as its name implies, it was meant to be run on edge devices and mobile devices and Google released mobile net. So it's a popular implementation that you find in TensorFlow. And what single shot detectors did is they said, Hey, instead of looking at the image twice, what if we just kind of have a, a backbone that finds candidate bounding boxes?[00:41:19] And then we, we set loss functions for objectness. We set loss function. That's a real thing. We set loss functions for objectness, like how much obj, how object do this part of the images. We send a loss function for classification, and then we run the image through the model on a single pass. And that saves lots of compute time and you know, it's not necessarily as accurate, but if you have lesser compute, it can be extremely useful.[00:41:42] And then the advances in both modeling techniques in compute and data quality, single shot detectors, SSDs has become, uh, really, really popular. One of the biggest SSDs that has become really popular is the YOLO family models, as you described. And so YOLO stands for you only look once. Yeah, right, of course.[00:42:02] Uh, Drake's, uh, other album, um, so Joseph Redman introduces YOLO at the University of Washington. And Joseph Redman is, uh, kind of a, a fun guy. So for listeners, for an Easter egg, I'm gonna tell you to Google Joseph Redman resume, and you'll find, you'll find My Little Pony. That's all I'll say. And so he introduces the very first YOLO architecture, which is a single shot detector, and he also does it in a framework called Darknet, which is like this, this own framework that compiles the Cs, frankly, kind of tough to work with, but allows you to benefit from the speedups that advance when you operate in a low level language like.[00:42:36] And then he releases, well, what colloquially is known as YOLO V two, but a paper's called YOLO 9,000 cuz Joseph Redmond thought it'd be funny to have something over 9,000. So get a sense for, yeah, some fun. And then he releases, uh, YOLO V three and YOLO V three is kind of like where things really start to click because it goes from being an SSD that's very limited to competitive and, and, and superior to actually mobile That and some of these other single shot detectors, which is awesome because you have this sort of solo, I mean, him and and his advisor, Ali, at University of Washington have these, uh, models that are becoming really, really powerful and capable and competitive with these large research organizations.[00:43:09] Joseph Edmond leaves Computer Vision Research, but there had been Alexia ab, one of the maintainers of Darknet released Yola VI four. And another, uh, researcher, Glenn Yer, uh, jocker had been working on YOLO V three, but in a PyTorch implementation, cuz remember YOLO is in a dark implementation. And so then, you know, YOLO V three and then Glenn continues to make additional improvements to YOLO V three and pretty soon his improvements on Yolov theory, he's like, oh, this is kind of its own things.[00:43:36] Then he releases YOLO V five[00:43:38] with some naming[00:43:39] controversy that we don't have Big naming controversy. The, the too long didn't read on the naming controversy is because Glen was not originally involved with Darknet. How is he allowed to use the YOLO moniker? Roe got in a lot of trouble cuz we wrote a bunch of content about YOLO V five and people were like, ah, why are you naming it that we're not?[00:43:55] Um, but you know,[00:43:56] cool. But anyway, so state-of-the-art goes to v8. Is what I gather.[00:44:00] Yeah, yeah. So yeah. Yeah. You're, you're just like, okay, I got V five. I'll skip to the end. Uh, unless, unless there's something, I mean, I don't want, well, so I mean, there's some interesting things. Um, in the yolo, there's like, there's like a bunch of YOLO variants.[00:44:10] So YOLOs become this, like this, this catchall for various single shot, yeah. For various single shot, basically like runs on the edge, it's quick detection framework. And so there's, um, like YOLO R, there's YOLO S, which is a transformer based, uh, yolo, yet look like you only look at one sequence is what s stands were.[00:44:27] Um, the pp yo, which, uh, is PAT Paddle implementation, which is by, which Chinese Google is, is their implementation of, of TensorFlow, if you will. So basically YOLO has like all these variants. And now, um, yo vii, which is Glen has been working on, is now I think kind of like, uh, one of the choice models to use for single shot detection.[00:44:44] World Knowledge of Foundation Models[00:44:44] Well, I think a lot of those models, you know, Asking the first principal's question, like let's say you wanna find like a bus detector. Do you need to like go find a bunch of photos of buses or maybe like a chair detector? Do you need to go find a bunch of photos of chairs? It's like, oh no. You know, actually those images are present not only in the cocoa data set, but those are objects that exist like kind of broadly on the internet.[00:45:02] And so computer visions kind of been like us included, have been like really pushing for and encouraging models that already possess a lot of context about the world. And so, you know, if GB T's idea and i's idea OpenAI was okay, models can only understand things that are in their corpus. What if we just make their corpus the size of everything on the internet?[00:45:20] The same thing that happened in imagery, what's happening now? And that's kinda what Sam represents, which is kind of a new evolution of, earlier on we were talking about the cost of annotation and I said, well, good news. Annotations then become decreasingly necessary to start to get to value. Now you gotta think about it more, kind of like, you'll probably need to do some annotation because you might want to find a custom object, or Sam might not be perfect, but what's about to happen is a big opportunity where you want the benefits of a yolo, right?[00:45:47] Where it can run really fast, it can run on the edge, it's very cheap. But you want the knowledge of a large foundation model that already knows everything about buses and knows everything about shoes, knows everything about real, if the name is true, anything segment, anything model. And so there's gonna be this novel opportunity to take what these large models know, and I guess it's kind of like a form of distilling, like distill them down into smaller architectures that you can use in versatile ways to run in real time to run on the edge.[00:46:13] And that's now happening. And what we're seeing in actually kind of like pulling that, that future forward with, with, with Robo Flow.[00:46:21] Segment Anything Model[00:46:21] So we could talk a bit about, um, about SAM and what it represents maybe into, in relation to like these, these YOLO models. So Sam is Facebook segment Everything Model. It came out last week, um, the first week of April.[00:46:34] It has 24,000 GitHub stars at the time of, of this recording within its first week. And why, what does it do? Segment? Everything is a zero shot segmentation model. And as we're describing, creating masks is a very arduous task. Creating masks of objects that are not already represented means you have to go label a bunch of masks and then train a model and then hope that it finds those masks in new images.[00:47:00] And the promise of Segment anything is that in fact you just pass at any image and it finds all of the masks of relevant things that you might be curious about finding in a given image. And it works remarkably. Segment anything in credit to Facebook and the fair Facebook research team, they not only released the model permissive license to move things forward, they released the full data set, all 11 million images and 1.1 billion segmentation masks and three model sizes.[00:47:29] The largest ones like 2.5 gigabytes, which is not enormous. Medium ones like 1.2 and the smallest one is like 400, 3 75 megabytes. And for context,[00:47:38] for, for people listening, that's six times more than the previous alternative, which, which is apparently open images, uh, in terms of number images, and then 400 times more masks than open[00:47:47] images as well.[00:47:48] Exactly, yeah. So huge, huge order magnitude gain in terms of dataset accessibility plus like the model and how it works. And so the question becomes, okay, so like segment. What, what do I do with this? Like, what does it allow me to do? And it didn't Rob float well. Yeah, you should. Yeah. Um, it's already there.[00:48:04] You um, that part's done. Uh, but the thing that you can do with segment anything is you can almost, like, I almost think about like this, kinda like this model arbitrage where you can basically like distill down a giant model. So let's say like, like let's return to the package example. Okay. The package problem of, I wanna get a text when a package appears on my front porch before segment anything.[00:48:25] The way that I would go solve this problem is I would go collect some images of packages on my porch and I would label them, uh, with bounding boxes or maybe masks in that part. As you mentioned, it can be a long process and I would train a model. And that model it actually probably worked pretty well cause it's purpose-built.[00:48:44] The camera position, my porch, the packages I'm receiving. But that's gonna take some time, like everything that I just mentioned the