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This is The Briefing, a daily analysis of news and events from a Christian worldview.Part I (00:14 - 09:07)Evil Seized an Opportunity in the U.S. Embassy: A Horrific Attack in the Name of ‘Free Palestine' Leads to the Murder of Two Israeli DiplomatsHow Israel tries to shield its diplomats from attack by Financial Times (James Shotter and Neri Zilber and Mehul Srivastava)Days Before a Marriage Proposal, They Were Killed in D.C. by The New York Times (John YoonIsabel Kershner and Natan Odenheimer)Part II (09:07 - 13:57)A ‘Fuller Way' on LGBTQ Issues? Fuller Seminary Trustees Reaffirm Stance on Homosexuality – But How Will That Square with Its Faculty Members and Student Body Who are Affirming?Fuller Seminary Reaffirms Historic LGBTQ Stance by Christianity Today (Daniel Silliman)Part III (13:57 - 24:21)There is No Third Way to Faithfulness: Every Christian Institution Must Resolve to Be Faithful to Scripture No Matter the CostPart IV (24:21 - 27:18)The Boggle Puzzle Solved – Researcher Finally Solves the Mystery of Highest Possible Boggle ScoreLone coder cracks 50-year puzzle to find Boggle's top-scoring board by Financial Times (Oliver Roeder)Sign up to receive The Briefing in your inbox every weekday morning.Follow Dr. Mohler:X | Instagram | Facebook | YouTubeFor more information on The Southern Baptist Theological Seminary, go to sbts.edu.For more information on Boyce College, just go to BoyceCollege.com.To write Dr. Mohler or submit a question for The Mailbox, go here.
TVC 688.3: Longtime television announcer Randy West joins Ed as TV Confidential continues its special program-length tribute to game show legend Wink Martindale. Randy was Wink's announcer on five game shows for the Family Channel, including Trivial Pursuit, Boggle, and Jumble. Among other topics in this segment, Randy mentions what he believes are the two reasons for Martindale's great success: his roots in Middle America (which Wink never forgot), and his genuine love for people, which particularly showed during Wink's interactions with the contestants on his various shows. Wink Martindale passed away on Tuesday, Apr. 15, 2025 at age ninety-nine.
We're sorry, but you have to die in the gulag because the White House beat the Supreme Court at Boggle. Tariffs are so confusing that Gretchen Whitmer is playing peekaboo in the Oval Office. Then, we talk about RFK Jr.'s big plan for the measles outbreak in Texas. It's one page titled: “Make it Worse.” Support the show
This week we are joined by repeat guest, Mal from Demigod Debut podcast (@demigoddebutpod)! We discuss childhood shows and Mal's brother's Wiggles T-Shirt. Magnus has to face his dead body (which subsequently makes us bring up The Haunting of Hill House for the 5000th time). Annabeth finds Magnus at his own funeral. If she had a nickel for every time she's attended a funeral where the dead person shows up, she'd have two nickels... Magnus then makes a deal with Mirmir, and then gets his falafel stolen by an eagle. Mal helps us out with the timeline. Much like Rick, we do not understand the timeline of this universe. Manasa reveals her Boggle-related trauma. SUPPORT US ON PATREON: https://www.patreon.com/camphalfpod?fan_landing=trueSUPPORT US ON KO-FI: https://ko-fi.com/camphalfpodSEND US AN AUDIO MESSAGE: https://www.speakpipe.com/CamphalfpodJOIN OUR DISCORD: https://discord.gg/gzHYsUbdgrMERCH: https://www.zazzle.com/store/camphalfpod
Bonjour,L'hiver bat son plein, surtout pour Arnaud à Montréal, et peu importe où que l'on soit nous faisons le même constat : nos enfants préfèrent jouer avec des gens de leur âge plutôt que de traîner avec leur vieux boomer de parents. Qu'a cela ne tienne, nous essayons de toujours tenir le cap avec le programme de ce mois-ci :Boggle+ (apple arcade)Le coin des parents :The recruit ou l'enrolé (QC)TerrariumBehemothÀ la semaine prochaine, si on est toujours pas trop craignos...Les animateurs sont Jean NOEL, Arnaud et JérômeLe générique Great 8 Bit Shit est réalisé par Skulbeatz disponible sur newgrounds.comHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
On the thirty- second episode of ATFT, I talk with actor/ director/ producer/ writer Brandon Gibson! Brandon Gibson, who is Los Angeles- based, has taken on many roles in a variety of mediums across over two decades working in show business. Brandon started his career in the industry as a stand up comedian, earning a stand up special on NBC at only 16 years old. He then ventured into acting in films, television shows (including Black-ish, Cobra Kai, and Lessons in Chemistry), and over 70 national commercials, for companies such as Wal- Mart, Airbnb, and Geico. Brandon also has his own production company, FunnyBrand777 Productions, and an acting studio called Above the Line studio. Check out Brandon's demo reels as well as more information on both his production company and acting studio here!: https://brandon-gibson.com Brandon's latest project is the highly- anticipated drama television series, Spilled Paint! For this project, Brandon starred in, directed, and wrote the series. Spilled Paint, which is inspired by true events, follows Brandon's character Ramirez Ponce is an underground art dealer who forces artists to paint fake paintings so he sell them to earn a major profit before murdering them. His plan goes awry when an artist suspected to have been dead surprisingly returns. The series was produced by Beth Wheatley and also stars Justine Renee, Bronsonn Taylor, and Stephanie De Lander. Previous ATFT guests, Graham Zielinski and Taylor Donaldson, also worked on this show! Spilled Paint is expected to release this Winter on Tubi! This is Brandon's first appearance on ATFT! We met on the set of his upcoming series Spilled Paint last year! As I mentioned, he wore many hats on the production while I was a production assistant. Brandon was so kind and despite how busy a set can be, he took the time to get to know me and my friend Taylor Donaldson, fellow PA and past ATFT guest. This was my first job on a set and I was stunned by how he made challenging roles on a set seem so effortless. To this day, Brandon remains the best director I've had the pleasure to work with and I hope we will work together again in the future! I was so grateful for his along with the rest of the crew's kindness. When I asked him if he'd come on the show, he was immediately in. Spilled Paint's release has shifted throughout the year so we recorded this episode towards the beginning of the year, March 8, 2024 to be exact! This was my third interview and I was very nervous. It had been several months since my last interview and I just didn't ask as many good questions as I should have. Hopefully there will be a part two in the future! Television fans will be pleased because we probably talk about as many television shows as we do films in this interview! In this episode, Brandon shares stories throughout his career from being an established stand up comedian as a teenager to his soon- to- be- released television series Spilled Paint. This episode has more star- studded stories than any previous ATFT episode yet as Brandon talks about fulfilling his life- long dream of working with Robin Williams, Ethan Coen watching his audition tape for Hail, Caesar! (2016) , and playing a competitive game of Boggle with Brie Larson. Brandon also talks about how his analysis of teleplays helped learn the craft of certain forms of comedy, his admiration of the Coen brothers, and his SNL audition. All this and much more on the latest episode of All the Film Things! Background music created and used with permission by the Copyright Free Music - Background Music for Videos channel on YouTube.
In Episode 216 we get nostalgic about the board games that sucked us into the hobby. We also discuss a poll about whether you still play the first game that got you into board games. Timestamps: 00:00 Introduction 00:30 Poll: Do you still regularly play the board game that introduced you to the board game hobby? (7 Wonders, Ticket to Ride, Wingspan, Euphoria) 12:47 Guillotine (Magic: The Gathering) 17:46 SolarQuest (Tri-ominos, Mr. Big Mouth, Monopoly) 21:14 D&D: Computer Labyrinth Game, The Dark Tower 27:07 Dominion 30:32 Conquest of the Empire (Miles Borne) 33:50 Axis & Allies (Risk) 36:50 King of Tokyo 40:18 Tripoley (Kingmaker) 44:03 Catan 47:43 Lost Cities 50:32 Scrabble (Race for the Galaxy, Memoir '44, Boggle) 55:21 Scythe (Cthulhu: Death May Die, Blood Rage) 59:12 Five Tribes (Agricola) 1:02:39 Terraforming Mars 1:06:35 A Feast for Odin 1:09:43 Listener Shoutout If you enjoy the show, please consider supporting us at https://www.patreon.com/boardgamehottakes Follow us on BlueSky: https://bsky.app/profile/boardgamehottakes.bsky.social Join our Facebook Community: https://www.facebook.com/groups/boardgamehottakes Join our Board Game Arena Community: https://boardgamearena.com/group?id=11417205
The SKATCAST Network presents:The SKATCAST Show #134 with the Script KeeperToday's SKAT:[ Liam the Monster Hunter | 0:21 ] - "Boggle of Boinkerville" - Liam is on his journey to become a Slayer, but he must start near the bottom.[ Liam the Monster Hunter | 9:00 ] - "Fire Rats of Boinkerville" - Sometimes things get worse before they get better. [ Santa Claus: Crime Fighter | 18:00 ] - "Holiday Training" - Santa begins his long training season to prepare himself for the holidays, but he misses his friend.[ SKAT-Vault: Nurse Fairy Rhymes | 23:34 ] - "Three Kings of Vision" - Something something government.Have the best kind of Tuesday you can summon!Visit us for more episodes of SKATCAST and other shows like SKATCAST presents The Dave & Angus Show plus BONUS material at https://www.skatcast.com Watch select shows and shorts on YouTube: bit.ly/34kxCneJoin the conversation on Discord! https://discord.gg/mVFf2brAaFFor all show related questions: info@skatcast.comPlease rate and subscribe on iTunes and elsewhere and follow SKATCAST on social media!! Instagram: @theescriptkeeper Facebook: https://www.facebook.com/scriptkeepersATWanna become a Patron? Click here: https://www.patreon.com/SkatcastSign up through Patreon and you'll get Exclusive Content, Behind The Scenes video, special downloads and more! Prefer to make a donation instead? You can do that through our PayPal: https://paypal.me/skatcastpodcast Get bonus content on Patreon Hosted on Acast. See acast.com/privacy for more information.
Kentucky native Ken Boggle realized he had a gift at a young age, and fortunately there were family members willing and able to mentor him. As a psychic medium, Boggle […] The post Ken Boggle first appeared on Shadows Of Legend.
Juliet and Greg cover Episodes 103-106, reliving both iconic and iconically uncomfortable moments from Felicity's first weeks at college. Those moments include the time Felicity's tape to Sally played at the dorm party (cringe), and Felicity and Noel's kiss after a particularly intense game of Boggle. Then, Juliet and Greg are joined by Scott Foley to talk about how he nearly played Ben before ultimately getting the role of Noel, working as an actor on Warner Bros. shows, and how playing Noel impacted his career. Finally, Juliet is joined by cultural critic Evan Ross Katz to contextualize Felicity among the broader WB canon, and discuss how many of these shows were ahead of their time. Next time: 107-108. Watch on Hulu. Hosts: Amanda Foreman, Greg Grunberg, and Juliet Litman Executive Producers: JJ Abrams and Matt Reeves For Bad Robot Audio: Executive Producer Christina Choi, Producer Shaka Tafari For The Ringer: Executive Producer Sean Fennessey, Executive Producer Juliet Litman, Senior Producer Kaya McMullen, Producer Erika Cervantes Original Music: Eric Phillips Sound Design: Kaya McMullen Mixing and Mastering: Scott Somerville Learn more about your ad choices. Visit podcastchoices.com/adchoices
Ex-FOTS Cassie Moore has scrubbed her old music from the internet. Do the Blues play three periods on the weekend and also do injured hockey players sit on the bench in a suit? Flexing wealth at bar mitzvahs. Rich Gould's children's book. Audio of Scott Boras saying absolutely nothing. Trevor Bauer. EMOTD. Learn more about your ad choices. Visit podcastchoices.com/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Ex-FOTS Cassie Moore has scrubbed her old music from the internet. Do the Blues play three periods on the weekend and also do injured hockey players sit on the bench in a suit? Flexing wealth at bar mitzvahs. Rich Gould's children's book. Audio of Scott Boras saying absolutely nothing. Trevor Bauer. EMOTD. Learn more about your ad choices. Visit megaphone.fm/adchoices
WELCOME LEGENDS! It's time for Ghosts!!
Break out the pencil sharpeners, listeners - it's BOGGLE TIME!This week, the boys discuss Season 1, Episode 9: Peggy The Boggle Champ. Brad learns what a P trap is, Bobby and Luanne are stuck in a pickle, and Hank is a bit of a dick.Go check out Childish Deano here: https://www.youtube.com/@childishdeanoGo subscribe on all of our other channels!YouTubez: https://www.youtube.com/@HillKingsPodSpotify: https://open.spotify.com/show/3Ls1a1i...Instagram: https://www.instagram.com/hillkingspod/TikTok: https://www.tiktok.com/@hillkingspod?...You can email us your questions at hillkingspod@gmail.com Hosted on Acast. See acast.com/privacy for more information.
Welcome to Joe's favorite episode of the year—our annual Black Friday board game episode! Joining us on this Black Friday, we are thrilled to welcome the BoardGameGeek herself, Candace Harris! She'll give us the lowdown on what's hot when it comes to finance and business-related board games! Plus, Neighbor Doug has a classic board game trivia question that's sure to Boggle your mind! FULL SHOW NOTES: https://www.stackingbenjamins.com/black-friday-board-games-candace-harris-1440 Deeper dives with curated links, topics, and discussions are in our newsletter, The 201, available at https://www.StackingBenjamins.com/201 Enjoy! Learn more about your ad choices. Visit podcastchoices.com/adchoices
Bananagrams is a word game that feels like a cross between Boggle and Scrabble. In the game, each player takes a number of letter tiles from a central group of 144, then arranges those tiles to form any number of connected words in a crossword-like shape. Once a player uses all their starting letters, they call "peel" and each player takes an additional letter to add to their growing maze of words. This process continues until all the tiles in the center are used. Race against your opponents to use all your letters first and win the game!Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
This week we celebrate our (belated) 3rd anniversary of podcasting by revisiting some of our favorite clips from the past year. Join us as we remember some fun highlights such as British teens solving mysteries, how a Roomba is like a maid, and how Linnea is the family Boggle champion.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
Dan called 411 to try and fix his internet, and the Shipping Container cannot believe how old he is. It's time to introduce "The Old, Racist 411 Operator Who Sounds Slightly Like Joe Zagacki" to the world. Then, Mike, Roy, and Chris chat with Matthew Tkachuk, Josh Mahura, and Nick Cousins of the Florida Panthers. Plus, Billy and Tony have an idea for a Super Bowl Tour and Jeremy's theory about college QBs gets rejected. Learn more about your ad choices. Visit megaphone.fm/adchoices
Check out my blog post. I Have Been Programmed to Love You. Free Ringtones and Singtones by iServalan™ at Tale Teller Club with female vocal samples iservalan #freeringtones #freesamples #loops #freemusic #taletellerclubhello gorgeous people of the internet I'm a little bit frazzled because I've been work trying to work with Avid Pro Tools for the last four hours and it's I think my system is to my computer system is maybe too old I'm thinking that because it stopped all of my stuff working it stopped my podcast recording working so I've had to record um you know in the middle of something and I've had to come and record here and this is my MacBook Pro thing so yeah I'm I'm gonna say that I really don't think my relationship with Avid Pro Tools has a future that's how I'm feeling now it may be that I changed my mind it may be that you never know I might find a friend who's really really good at um you know music engineering because I think it's much more about it that's much more of an engineering platform than it is a record production I'm this they're kind of both the same aren't they but the engineer is the the person that sits in the background with headphones on working out all the levels the engineer isn't kill isn't really very creative the engineer does all the clunk click stuff do you see what I mean and I just think it's much more suitable for that sort of entry level um record production it does have a virtual software um input with 16 inputs and I thought well that sounds nice because I've got a mixing desk that I haven't managed to use yet so I can see that you know maybe in the future there will be somebody that passes through my life who will say oh don't worry I can do that let's sit down and do it um that would be my hope but you know after four hours of fiddling with buttons and not getting any sound I've just sort of given up I couldn't get it to work with my zoom mic I couldn't get it to work with my Sonic thing you know my my audio box um I couldn't get it to work with the integral sound it in the computer I I just gave up in the end you know and I consider myself a reasonable um you know I've got a degree in digital music you'd kind of think that was enough maybe not but you know if it's a problem with the age of my computer it's absolutely Boggle all I can do about that so I've sort of given up anyway I've done your ringtone because nothing would stop me doing the free ringtones for you guys so this one is I have been programmed to love you oh that sounds nice doesn't it and this is I surplan vocal which I've sort of decided ice overnight is going to be much more about spoken word because I'm just about to release a spoken word um album so yeah enjoy it's yours for personal use um single events and non-profit and education so enjoy it let me know what you think join me on The Telltale Club um for a monthly subscription subscription and you can share you can give I'll give you a Blog and you can share your own stuff that's really excitingI have been programmed to love you love you is all I know lay back and let me love you [Music]
Dungeons and Dragons: Honor Among Thieves is a fun, action/comedy that makes you wonder why it took so long to get a decent D&D movie made. @dgoebel00 on Instagram provided this amazing artwork. Follow him and check out his website. https://youtu.be/IiMinixSXII Synopsis A charming thief with nothing to lose and everything to gain embarks on an epic quest to find a party of like-minded ne'er-do-wells who will help him obtain a long lost relic. This plucky adventure takes a turn for the worst when evil red wizards start taking over the Neverwinter. Will our band of fun and quirky characters pull off the heist of a lifetime, or will they end up part of the army of the dead? Review Dungeons and Dragons: Honor Among Thieves takes a game that historically has been considered one of the dorkiest, nerdiest, most basement dwelling neckbeardian IP's in the free world and attempts to make it appeal to general audiences. Somehow, they did it! They made Dungeons and Dragons digestible for your jock boyfriends, your football dads, and your Christian mothers Boggle groups. Dungeons and Dragons: Honor Among Thieves is a fun and easygoing romp through an incredible fantasy world that isn't bogged down with over-ripe lore or too-serious stakes. It's comedy chops are great, which really keeps the audience grounded almost as well as the fabulous casting. Chris Pine, Michelle Rodriguez, and Hugh Grant anchor the cast and keep everyone in lockstep for the duration. The pacing is appropriate and holds everyone's attention by constantly showcasing some of the coolest fantasy world elements I've ever seen. Watch Dungeons and Dragons Honor Among Thieves Buy or Rent on Amazon Click Here to Watch If Star Trek can have a resurgence there is absolutely no reason Dungeons and Dragons shouldn't too. This IP has some of the most detailed and thorough content in the entire world, spanning the tabletop games, multiple book series, and dozens of video and card games. What we get in this movie is lots of fun, tons of great laughs, some astonishing eye candy, and the most generic of plots and stakes. Sometimes generic is alright, and this is the exact case that proves that point. No one wants a deadly serious Dungeons and Dragons movie. No one plays a deadly serious game of Dungeons and Dragons. It's fine that the story and plot are generic and somewhat foggy. Will it win awards and be lauded throughout time? No, but it won't go down as a failure and an embarrassment to nerds everywhere. Score 7/10
CarlaIG: boardgamespecialistFB: Red Deer Board Game FanaticsMelIG: mels_boardgame_roomFB Mel's Board Game RoomYouTube: Mel's Board Game RoomDiscord:https://discord.gg/2Zu4HW2nhttps://youtu.be/AJhgfdBEY5A[1:46] My City roll and build [4:12] Beer and Bread[8:30] Argh[10:50] Carpe Diem[15:35] Word-O-Melon[17:53] Letter Jam[20:17]Shh![23:29] Word Heist[26:43] Qwirkle[28:51] Wordsy[31:03] Rummikub[33:44] Word Domination[37:15] IOTA[39:25] Jabuka[42:44] Arboretum[45:18] Quiddler[47:41] Ex Libris[50:20] Letter Tycoon[53:57] Boggle[56:44] Paperback[1:01:44] Wordsy
The Boardgame Specialists – Episode 73 – Top 9 Farm Themed GamesCarla and Melanie list their favorite farm games[2:25] Key Series[2:50] Key Flow[3:29] Key Harvest[7:40] God of War: the Card Game[11:06] Dinosaur Island Rawr N' Write[11:25] Fliptown[14:25] Downtown Farmers Market[16:37] Bohnanza[19:45] Bohnanza Dahlias[20:12] Scoville[21:10] Three Sisters[26:16] Cacao[30:41] Atiwa[33:54] Happy Pigs[38:35] At the Gates of Loyang[42:33] San Juan[47:15] Caverna[51:00] Agricola[54:37] Clans of Caledonia[59:00] Catan[59:10] Terra Mystica[59:32] Catan[103:55] Hallertau[106:25] Ceylon[112:31] Fields of Arle[115:53] Key Flower[121:47] La Granja (New Version)[124:45] La Granja (Original)[127 :53] Viticulture[133 :40] Scrabble[134 :40] Boggle https://youtu.be/2E-syW8PGMUCarlaInstagram : Boardgamespecialisthttps://www.instagram.com/boardgamespecialist/ Facebook : Red Deer Board Game Fanaticshttps://www.facebook.com/groups/2045428352276268 Melanie Instagram: Mels_boardgame_roomhttps://www.instagram.com/mels_boardgame_room/ Facebook: Mel's Board Game Roomhttps://www.facebook.com/profile.php?id=100077318763550 YouTube: Mel's Board Game Roomhttps://www.youtube.com/channel/UCX8IrAvqwgiaewN3NZ0J72g
These chapters are FULL of riddles and puzzles. Erin loves a good word puzzle. Manasa has strong feelings against Boggle. We start off with a fun audio message from our wonderful listener Coffee, who defends Southern California against Rick's wrath. Then, Apollo, Meg, and Grover have to face the challenge of crossword puzzles. Apollo messes up and almost gets them all killed (classic). He has a nice little chat with Helios, who wants Medea dead. Now. Then, Medea shows up and is ready to kill them all. ————————————————————— SUPPORT US ON PATREON: https://www.patreon.com/camphalfpod?fan_landing=true SEND US AN AUDIO MESSAGE: https://www.speakpipe.com/Camphalfpod JOIN OUR DISCORD: https://discord.gg/gzHYsUbdgr --- Support this podcast: https://podcasters.spotify.com/pod/show/camp-half-pod/support
The actor, writer, comedian, and bon vivant Michael Ian Black is an enthusiast of the word game Scrabble and, in particular, the very short two-letter words that can make all the difference in a competitive game. Sure, lots of players want to use long words of seven or even more letters but a well-placed QI or a sly ZA can rack up more points than one might have ever thought possible, and Michael shares, in a lulling monotone, many more two-letterers that the uncareful player might have never considered. We also talk about the historic Scrabble match where FUCKWIT was played to much controversy and point scoring.You're Not Doing It Right - Michael Ian Black Hey Sleepy Heads, is there anyone whose voice you'd like to drift off to, or do you have suggestions on things we could do to aid your slumber? Email us at: sleepwithcelebs@maximumfun.org. Follow the Show on:Instagram @sleepwcelebsTwitter @SleepWithCelebsTikTok @SleepWithCelebsJohn is on Twitter @johnmoe.John's acclaimed, best-selling memoir, The Hilarious World of Depression, is now available in paperback.Join | Maximum FunIf you like one or more shows on MaxFun, and you value independent artists being able to do their thing, you're the perfect person to become a MaxFun monthly member.
On today's episode of the Little Seal English podcast we talk about confusion! Key Expressions:Boggle my mindIt's a mystery to meI can't wrap my head aroundI'll never understand how/why/people who…I don't get it/him/herI hope you enjoy the podcast and don't forget to check out my socials. Cheers, Ronan Check out my website: www.littlesealenglish.com Make a podcast request: www.littlesealenglish.com/requests Check out my Instagram: www.instagram.com/littlesealenglishTiktok: https://www.tiktok.com/@littlesealenglish Get bonus content on Patreon Hosted on Acast. See acast.com/privacy for more information.
Peggy competes in the Boggle state finals, inviting Hank along to be her coach. However, he must choose between supporting his wife and the Dallas Mower Expo.Are you enjoying the show?You can support us now for EARLY & AD-FREE access to every show we produce, as well as 100 hours of exclusive content! Join the FFD family today at patreon.com/fourfingerdiscountCHECK OUT OUR OTHER PODCASTS:Four Finger Discount - spreaker.com/show/four-finger-discount-simpsons-podcastGoin' Down To South Park - spreaker.com/show/goin-down-to-south-parkTalking Seinfeld - spreaker.com/show/talking-seinfeldThe One About Friends - spreaker.com/show/the-one-about-friends-podcast
Today's show notes have been generated by ChatGPT-4 based on the transcript of the episode: Tony takes a deep dive into understanding and distinguishing between three complex behavioral patterns - Nice Guy/Girl Syndrome, Emotional Immaturity, and Narcissism. Tony kicks off the discussion with a comprehensive analysis of Nice Guy/Girl Syndrome. He defines the syndrome, deciphers its impact on relationships, and shares practical strategies to overcome it. He draws on his vast professional experience to provide examples, demonstrating how it manifests in everyday life and highlighting the detrimental cycle it can trigger if not addressed. Moving forward, Tony navigates us through the intricate world of Emotional Immaturity. He elucidates the signs of emotional immaturity, its roots in childhood experiences, and how it can stifle personal growth and sabotage relationships. Moreover, Tony explores how emotional immaturity differs from other behavior patterns, creating a clearer picture of this often misunderstood condition. The third segment of the episode is dedicated to a robust discussion on Narcissism. Tony breaks down the classic narcissistic traits and explains the critical differences between Narcissistic Personality Disorder and self-centered behaviors. With his unique therapeutic approach, he offers insight into how to cope if you find yourself in a relationship with a narcissist. For the second half of the episode, Tony enters the lively arena of a private women's Facebook group, addressing a burning question - is the change in an emotionally immature husband real, or only temporary? To answer this, Tony explains the difference between genuine change and manipulation, providing actionable advice for those grappling with such doubts in their relationships. He highlights key indicators of authentic personal growth, empowering listeners to discern between genuine transformation and superficial change. Join Tony for this enlightening episode as he distills complex psychological concepts into digestible insights and practical advice. Whether you're trying to better understand yourself, navigate your relationship, or support a loved one, this episode offers invaluable guidance. Don't miss this opportunity to deepen your understanding of these common but often misunderstood behavioral patterns. Use the following code to purchase the 2023 Sex Summit for only $35 featuring Tony's presentation: Relationship Tools You Don't Know You Need - Tips and Tools Born From 15 Years of Practice w/1500 Couples. https://thedatingdivas.myshopify.com/discount/TONY23?redirect=%2Fproducts%2Fsex-seminar-2023 Or use the following code to purchase 2020, 2021, 2023, and 2024 seminars for only $80: https://thedatingdivas.myshopify.com/discount/TONYBUNDLE23?redirect=%2Fproducts%2Fsex-seminar-2023-bundle Find all the latest links to podcasts, courses, Tony's newsletter, and more at https://linktr.ee/virtualcouch And follow Tony on the Virtual Couch YouTube channel for a sneak preview of his upcoming podcast "Murder on the Couch," where True Crime meets therapy, co-hosted with his daughter Sydney. You can watch a pre-release clip here https://youtu.be/-RkRq8SrQy0 Subscribe to Tony's latest podcast, "Waking Up to Narcissism Q&A - Premium Podcast," on the Apple Podcast App. https://podcasts.apple.com/us/podcast/waking-up-to-narcissism-q-a/id1667287384 Go to http://tonyoverbay.com/workshop to sign up for Tony's "Magnetize Your Marriage" virtual workshop. The cost is only $19, and you'll learn the top 3 things you can do NOW to create a Magnetic Marriage. You can learn more about Tony's pornography recovery program, The Path Back, by visiting http://pathbackrecovery.com And visit http://tonyoverbay.com and sign up to receive updates on upcoming programs and podcasts. Tony mentioned a product that he used to take out all of the "uh's" and "um's" that, in his words, "must be created by wizards and magic!" because it's that good! To learn more about Descript, click here https://descript.com?lmref=bSWcEQ
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
Kirt & Mr. Sal discuss Season 1 Episode 9 of HBO's The Last Of Us in which Joel finds Beefaroni and Boggle. Shoe Hammer some Show Hoppers into your day! ~~~ Relevant Links ~~~ Youtube: https://www.youtube.com/channel/UCJb6TAVe_sYmo4G7lAfEYtg Website: showhoppers.com Show Hoppers Twitter: @ShowHoppers Mr. Sal Twitter: @ShowHoppersSal e-mail: showhopperspodcast@gmail.com
This week we play a few rounds of Boggle, the classic word-finding game that premiered in 1972.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
The Missing 411 series has become a phenomenon itself, and the release of the new Missing 411: The UFO Connection film only further strengthens that. We take a close look at the superb new documentary and consider the astonishing cases of people disappearing in highly unusual circumstances. Could people be tagged by craft to be collected later, and how does an aquifer play a role in this intriguing mystery? Then for our Plus+ members we take a dive into alternative realities, consider the role of meaningful coincidences and find out what happens when a researcher is pushed to their "Boggle threshold". Links Missing 411: The UFO Connection Apple Store Missing 411: The UFO Connection Amazon Missing 411: The UFO Connection YouTube Movies Alien Abduction of The Wyoming Hunter: First person story of Carl Higdon DeOrr Kunz Remains of Idaho hunter missing for 53 years found by another Hunter Higdon Coincidence Man declared missing after campsite found abandoned. Plus+ Extension The extension of the show is EXCLUSIVE to Plus+ Members. To join, click HERE. Deep Weird: The Varieties of High Strangeness Experience The Source and Significance of Coincidences: A Hard Look at the Astonishing Evidence Fevered High Strangeness Otherworlds: Psychedelics and Exceptional Human Experience 11.18 MU Podcast 19.21 MU Podcast 17.05 MU Plus+ Podcast Learn more about your ad choices. Visit megaphone.fm/adchoices
PM Entertainment returns to the Gridbin (Rage, The Sweeper) with an over-the-top action movie starring... Anna Nicole Smith? Anna, playing a helicopter pilot who dreams of getting pregnant and having picnics, has to single-handedly stop a terrorist group from taking over the Boggle factory. Featuring 80 year old men henchmen, mid-action sex breaks, and the mysterious disapearance of a Grindbin host during the episode... it's everything you could ever want in a bin episode... and more!
Zibby interviews bestselling author Ann Hood about Fly Girl, a warm coming-of-age memoir about her time as a TWA flight attendant in the 70s and 80s. Ann describes the origins of her wanderlust, comments on the blatant sexism she witnessed on the job, and shares her most memorable in-flight stories, from playing Boggle with a passenger to seeing a man die to writing her first novels in the jump seat! She also talks about her brother's tragic passing, her wonderful book tour (filled with flight attendant fans!), and the books on her TBR list. Purchase on Amazon or Bookshop.Amazon: bit.ly/3H4rz7GBookshop: bit.ly/3FifgTFSubscribe to Zibby's weekly newsletter here.Purchase Moms Don't Have Time to Read Books merch here. Hosted on Acast. See acast.com/privacy for more information.
Join the ladies as they revisit friends of the pod Nasubi and *Pastor* Greg Locke. Who says stuffy evangelical preachers can't rap? See you in the ball pit!Write us some of your cringe stories at [nervouslaughterpodcast@gmail.com](mailto:nervouslaughterpodcast@gmail.com)The socials: [Instagram](https://www.instagram.com/nervouslaughterpodcast) | [Facebook](https://www.facebook.com/NervousLaughterPodcast) | [Twitter](https://twitter.com/NervouslaughPod)
Is scholarship moving forward or a hostage to fads, when did you start feeling welcomed in the profession, and an activity or hobby you would win a gold medal are some of the questions in this episode of Circular Firing Squad. Stephanie - 1:24 When did you start feeling welcomed by the profession (feeling you belonged), at least somewhat? Marty - 12:01 It's conference season!!! What was the worst display of a conference presenter/presentation behavior you've witnessed? Eric - 21:22 What activity, hobby, or skill would win you a gold medal if it were an Olympic sport? Elliott - 30:15 Do you think our scholarship is moving forward and discovering anything, or is it hostage to fads? Gina - 38:06 What is your "why?" Why do you keep teaching/researching? Final shot - 45:10 Something it seems everyone else will eat, but you won't. --- Send in a voice message: https://anchor.fm/marty-jencius/message
The following article was written by Joe Slack from the Board Game Design Course. Hey there. It's Joe Slack from the Board Game Design Course. Oliver was kind enough to let me return and write another guest post on his blog, this time about realtime games and the experience that they deliver. I hope you enjoy the article! Read the full article here: https://tabletopgamesblog.com/2022/10/25/how-realtime-games-deliver-excitement-topic-discussion/ Useful Links Board Game Design Course: https://boardgamedesigncourse.com/ Escape: Curse of the Temple: https://boardgamegeek.com/boardgame/113294/escape-curse-temple Magic Maze: https://boardgamegeek.com/boardgame/209778/magic-maze Fuse: https://boardgamegeek.com/boardgame/171273/fuse Boggle: https://boardgamegeek.com/boardgame/1293/boggle 14 Frantic Minutes: https://boardgamegeek.com/boardgame/362865/14-frantic-minutes 14 Frantic Minutes crowdfunding campaign: https://www.kickstarter.com/projects/crazylikeabox/14-frantic-minutes Pendulum: https://boardgamegeek.com/boardgame/312804/pendulum Intro Music: Bomber (Sting) by Riot (https://www.youtube.com/audiolibrary/) The following music was used for this media project: Music: Perls by MusicParadise Free download: https://filmmusic.io/song/5066-perls License (CC BY 4.0): https://filmmusic.io/standard-license Artist website: http://www.music-paradise.de If you want to support this podcast financially, please check out the links below: Patreon: https://www.patreon.com/tabletopgamesblog Ko-Fi: https://ko-fi.com/TabletopGamesBlog Website: https://tabletopgamesblog.com/ (Photo by Brett Jordan on Unsplash) --- Send in a voice message: https://anchor.fm/tabletopgamesblog/message
Michael Swaim (Small Beans, IGN, formerly Cracked) enters a world in which one can buy robot assassins out of vending machines - but in this case, the machine instead vends a ninety-nine question interview. Join Michael and I as we discuss what sparked his deep pop-culture IQ, what work he is most proud of, Boggle, comic book publishing cliffhangers, Futurama, bing bongs, & the difference between a scavenger hunt and a treasure hunt. --ASK ME A QUESTION! The 99 Question Hotline!-- 732-592-9838 (aka REAL-WAX-VET) 99questionspod@gmail.com 99Q on Twitter 99Q Merch --- Support this podcast: https://anchor.fm/99questions/support
Story Story Podcast: Stories and fairy tales for families, parents, kids and beautiful nerds.
Join host Simon Brooks as he brings you spooky tales, with Janice Del Negro telling "Lucy and the Boggle" and Kim Weitkamp telling "Grave Dancer". Support the show
John Hartness hosts as Special Guests Matt Dinniman and MK Gibson join the crew. Can they clear a cellar of Boggles without angering a horny satyr?
In this episode, I talk with the super fun and fan-favorite children's book author, Josh Funk, about his picture book My Pet Feet. It's quite possible that Josh is a superhero with the delightful power of making readers laugh with his writing. During the day, he's a software engineer. And on weekends, he's the author of books like the Lady Pancake and Sir French Toast series, It's Not a Fairy Tale series, How to Code with Pearl and Pascal series, A Story of Patience and Fortitude series, Dear Dragon, Pirasaurs!, My Pet Feet, and more. Order copies: My Pet Feet on Bookshop.org or Amazon. The Great Caper Caper on Bookshop.org or Amazon. It's Not the Three Little Pigs on Bookshop.org or Amazon. Transcription: You can read the transcription on The Children's Book Review. Resources: You can visit Josh Funk at https://www.joshfunkbooks.com/. Order the word nerd game Boggle. Order a copy of To Change a Planet by Christina Soontornvat and Rahele Jomepour Bell. Order a copy of Keepunumuk: Weeâchumun's Thanksgiving Story by Danielle Greendeer, Anthony Perry, Alexis Bunten, and Gary Meeches Sr. Order a copy of The Boy Who Loved Maps by Kari Allen and G. Brian Karas. Order a copy of Kick Push by Frank Morrison. Discussion Topics: About My Pet Feet. Writing for the laughs and enjoyment of parents and kids. Tips on raising readers. On reading as a child. The inspiration for My Pet Feet. Writing a story with only 25 letters. The illustration artwork of Billy Yong. A peek into Dear Unicorn, The Great Caper Caper, and It's Not the Three Little Pigs. The books Josh is reading now. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/thechildrensbookreview/message Support this podcast: https://anchor.fm/thechildrensbookreview/support
Ambie and Crystal discuss a couple games they played recently, including Village Green and Living Forest. We then take a break from a specific topic of the week and just chat with each other about Crystal's new gaming table, Ambie's Kickstarter, the board game community, and Ambie's kids. Recent Games: 0:35 Chit Chat: 11:10 Outro: 28:36 Check out our merch (including Hexy): https://www.redbubble.com/people/boardgameblitz/shop?asc=u Join our discord: https://discord.gg/WvRVnVeYMS Village Green: https://boardgamegeek.com/boardgame/300583/village-green Living Forest: https://boardgamegeek.com/boardgame/328479/living-forest Support us at https://www.patreon.com/boardgameblitz This episode was sponsored by Grey Fox Games. Use the code 'GFGBLITZ2022' for 20% off non-exclusive items from their site: http://www.greyfoxgames.com/ For the full show notes visit our site at http://www.boardgameblitz.com/posts/330
Episode 131: One set – One Movie: “This here is my Boggle pocket.”Jim, Joseph, and George debate Top 5 movies that mostly take place in a single setting (83.5% of the film). Also discussed are the best dice games that ARE NOT Dungeons & Dragons. · Which podcast host identified more with the janitor in BREAKFAST CLUB instead of the teenagers in Saturday detention?· What is the popular dice game that over 59 million women play?· The Gay Kiss: “No Superman, don't do it!” · Which game forbids blowing (and licking) on the dice? · CCR Flashback: A podcast host in a PTSD haze while working Hasting's Records because of a Steeler's Wheel song?· Add a Pop-o-Matic to a Backgammon board? · What is the only suspense/horror film that Audrey Hepburn ever made? · Which movie taught Joseph what ‘hobbling' is?· Which dice game is the best for gambling Saltwater taffy?· Which podcast is plays solo Yahtzee? · Inventor's Corner: Tom Wu's device that determines the amount of screen time a movie takes place in a single location
It's our reasonably-sized anniversary 250th episode! Boggle in wonder and amazement that we've made it this far! Thrill to John and El'Ahrai reviewing "Nope" and "Marcel the Shell With Shoes On"! Squirm with...let's call it "delight"...as they discuss things! You won't hear an episode like this again until next week! Does Barry Manilow know that you raid his wardrobe?
Today, Raymond is a guest on Joe Vitale's show, Zero Limits Living. This high-energy conversation is teaming with inspiration and enthusiasm and is meant for anyone looking to step up and perform at the next level of their potential. With the right attitude and belief system, anyone can recreate themselves at any stage of their life. In this episode, you'll hear outrageous success stories from Raymond's personal life and some of his clients. Takeaways: Please accept Raymond's free 30-minute coaching session offer at www.aaron.com/joe. Notice what you really love doing and figure out some way to incorporate that into your business. Notice what you don't love and get rid of it. To learn more about Joe, go to https://www.joevitale.com/optin1584735335448. You can also find him on Instagram at https://www.instagram.com/drjoevitale/. Go to www.aaron.com/joe to claim your free 30-minute coaching session. And if you want to try Raymond's favourite game for keeping your mind sharp, try the game Boggle, at https://wordshake.com/boggle. Raymond Aaron has shared his vision and wisdom on radio and television programs for over 40 years. He is the author of over 100 books, including Branding Small Business For Dummies, Double Your Income Doing What You Love, Canadian best-seller Chicken Soup for the Canadian Soul, and he co-authored the New York Times best-seller Chicken Soup for the Parent's Soul. www.Aaron.com
Graham Chittenden and Sean Cullen refuse to Boggle the minds of their audience when they tackle word games. Then, Hisham Kelati and Nour Hadidi travel to great lengths in their debate on whether or not Toronto is the best city for new immigrants.
Today's episode shares a story as it unfolds in real time. Our guest, Nancee Tegeder, shares how her background has placed her in a unique position to help Ukrainians find ways to safety, as their homeland is being invaded. During her process to help one person, she discovered something incredible: her passion. As she focused on helping the one, she realized that humanitrain efforts are where she desires to spend her time. As you listen to Nancee share her thoughts and feelings, you learn her why. In this episode, we dive into: *how Nancee's organization started just six weeks ago, why this organization matters, and how they are making a difference in the life of Ukrainian's, *the beauty of humanity, *the ripple effects of small choices, *how to discover your passion, *how you can impact others with small messages, and *the power of social media. This is a conversation capturing the impact one woman can make. We invite you to come and listen. Please add to the conversation by emailing us at: connect@sharingherjourney.com or by sending us a message on SHJ Instagram SHJ Facebook #inherwetrust #istandwithukraine __________________________________ Nancee Tegeder began forging her own path when she graduated from high school at 16 and college at 20. She served a mission for the Church of Jesus Christ of Latter-day Saints in Ukraine, where she learned to speak Russian. Following her mission, she graduated from BYU Law School. She has spent the past 18 years working in various law positions from civil litigation, to a solo practice in estate planning, to a partner at a securities law firm. During law school, she married Troy, who also served in the same mission in Ukraine that Nancee had served. They have three children and live in Southern California. She “retired” from law last year to dabble in homeschooling with her kids during the pandemic. It was a lovely experience and she promptly sent them all back to in-person school as soon as it became available again. In her spare time, Nancee loves being active. From snowboarding to wakeboarding. Or riding the streets on her rollerblades with her gang of middle-aged moms. She devours books, puzzles, is a wiz at the game Boggle and is mostly NEVER without chocolate. Find Nancee at: Facebook: Nancee's FB Page Ukranian Refugee Network FB Page: Ukrainian Refugee Network Instagram: Nancee's IG Page Venmo: Nancee-Tegeder (digits 4330) Paypal: NanceeTegeder@gmail.com Articles about Nancee's Mission and Organization: Deseret News: "As bombs fall on Ukraine, their mission continues" Idaho State Journal: "Rescue Mission: Woman with local ties helps launch shuttle van network transporting refugees from Ukraine" California Paper, patch.com "French Valley Woman on Mission to Help Ukrainians Escape War"
Steve Hofstetter! Comedian! Writer! Old friend! More! His newest enterprise is called the Steel City Arts Foundation. He's on tour RIGHT NOW. He's got a lot to share and I'm glad we chatted and you can hear it. Listen! Enjoy! Thanks!
Hello, and welcome to Mister Information– an offshoot trivia podcast for anyone who kind of enjoy trivia but also sticking it to annoying teams at pub quiz. In this very special episode, Josh talks about trivia he learned watching King of the Hill, and Steve talks about three things that are not what they seem to be . Also, enjoy another episode of “In the Not-Too-Distant Past-Perfect”, and a quiz on kings, hills, propane, and propane accessories. . . . [Music: 1) Pheasant, “Fools Gold,” 2013 ; 2) Frau Holle, “Ascending Souls,” 2017. Courtesy of Frau Holle, CC BY-NC 3.0 license.]
Joe, Scott, and Marino play Boggle, discuss wearing shorts in the winter, and play the classic game of 'Name That Five Letter Word.' Sources for this week's episode:Boggle Game CommercialHasbro's Boggle CommercialBoggle Ad, 1980
Anthropological researcher and lecturer, Jack chats to me about his own fairy experience and his sister's childhood encounter in the Tanat Valley, Wales. We talk boggle thresholds, the Occult Revival and anthropological theories around some of the encounters shared on the Modern Fairy Sightings Podcast this series.Jack lectures at the Sophia Centre for the Study of Cosmology in Culture, University of Wales Trinity Saint David and is the author of ten books on the subject of anthropology and the paranormal.Please do subscribe, rate and share this podcast. Thank you ❤️For more information, further reading and show notes go to:https://www.scarlettofthefae.com/episode-25-chat-with-dr-jack-hunterFor the video version of this interview go to:https://youtu.be/a_SyAHbGtA8Podcast intro music: Transmutate by Snowflake (c) copyright 2020 Licensed. This work is licensed under a Creative Commons Attribution 3.0 Unported License.Modern Fairy Sightings Green Man Artwork: Peter Hall StudiosSupport the show (https://www.patreon.com/themodernfairysightingspodcast)
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