Podcasts about cd roms

Introduction Welcome to RetroLogic! I'm Sam Wagers here with John Cummis and Shannon Eno   But RetroLogic isn't just a podcast. It's a community of retro gamers! - We've got an active, friendly, and free discord. - Giveaways - Contests - AND Dive into our family of Retro podcasts! Like RetroGroove, a music history podcast, and On Topic Retro, a podcast dedicated to 1 video game per episode hosted by our very own John Cummins. - you can find everything at our website retrologic.games Tell me one thing that happened this week! Housekeeping Retro Groove: Neil Young:    Retro Rewind Solar Jetman   FilmLogic: Forgotten Spielberg Project: Reich Under Fire (1992)   Third Strongest Mole (youtube):  Battle network 6 postgame!   Star Wars Dads: The Price Is Retro If this is your first time playing Price Is Retro, here's how we play. I'm going to list off 4 or 5 games and everyone has to guess how much the lot is worth in total. Whoever is closest to the actual value wins that round! Everyone has a list and everyone guesses on each other's list. At the end, the player that won the most rounds wins the episode! But watch out for the robot Deus Guess Machina! He averages all of our guesses together for his own guess Shan's list Sam's list John's list Trivia Card   Show Topic   Nintendo Switch 2   Backwards Compatibility: Great in the short term   The death of physical?   Some games will be “Game Key Cards”, which act as a physical key but require download of data to play.   Confirmed Key card games: Bravely Default Flying Fairy Street Fighter VI   Surprisingly not cyberpunk? Playasia listing suggest this for Elden Ring: Tarnished edition (not 100% confirmed). This will be labeled on the box at the bottom   Game key cards are NOT tied to a specific account (despite some reports to the contrary) https://www.theverge.com/news/644803/nintendo-switch-2-game-key-cards-trade-borrow-resell Possibly comparable to CD-ROMs in PC gaming when they were still relevant.  (Data was written to hard drive during install, but disc still needed to boot.   A cost cutting measure? Is this why Mario kart world is extra expensive The Biggest disadvantage: Downloads not always available.   Switch 2 Upgrade games such as Metroid Prime 4 will also require a download, even if the switch 2 version is purchased.   Gamecube NSO Day 1: The Legend of Zelda: The Wind Waker F-Zero GX Soul Calibur II Available Later Super Mario Sunshine Fire Emblem: Path of Radiance Pokémon XD: Gale of Darkness Super Mario Strikers Chibi-Robo Luigi's Mansion Pokémon Colosseum   NSO Wishlist: Per Presto's Question: Sam: Odama, Custom Robo, Warioware Inc., Viewtiful Joe 1 & 2, Star Fox Assault, Dokapon The World Community Couch Datfast (John) — 4/3/2025 9:38 AM @everyone we will having a Switch 2 conversation on the next episode!   We are going to try to focus more on the Retro side of things but you know we won't be able to help ourselves lol.    If you have any questions or just want to share your thoughts on the direct, tell us here and we will discuss them!   Thanks   Drex1981 — 4/3/2025 9:48 AM When I first saw the announcement trailer in January. I immediately thought to myself this looks like what a switch pro was going to be. However I was curious and looking forward to the direct and after seeing the direct, this doesnt feel like a new console to me. It basically feel like the Switch Pro. For 499 bucks? And 80 bucks per game. I'm going to wait or just buy a steam deck.   Eric Plunk — 4/3/2025 9:50 AM I want to see a TV dinner style tray to use the mouse function on with interchangeable tray tops. Bonus points if they have one that looks like the SNES mouse pad   DoubleD — 4/3/2025 10:51 AM For me, this is exactly what I wanted for the next Nintendo console. This direct was a complete 180 from the previous one, where the only thing that really got me hyped was Metroid Prime 4. I'm 100% on board with being an early adopter for this, whereas, I wasn't when the original Switch was announced. They're truly making a version of the Switch that I always wanted. Not only that, but they also announced games that I'm excited for, which seals the deal that it's going to be a day 1 purchase. I didn't expect it, but the game I am most excited for is DK Bananza! Also, with my kids getting older and moving out, I love the integrated video chat and screen sharing options. I still won't get the higher tier of NSO though, so I'll just keep playing Gamecube games on my Gamecube, but I love that they added it.   SNES_is_Life — 4/3/2025 10:53 AM DK looks great for sure.   txTrey — 4/3/2025 11:29 AM My kids are still younger, but my third thought about that chat stuff was that I could do it with them when they move out or go to college. I still have probably one more Nintendo console release before that happens, so hopefully it carries forward    ChrisHL94

This show has been flagged as Explicit by the host. Background It all happened when I noticed that a disk space monitor sitting in the top right hand side on my Gnome desktop was red. On inspection I discovered that my root filesystem was 87% full. The root partition was only 37GB in size which meant there was less than 4GB of space left. When I thought back I remembered that my PC was running a bit slower than usual and that that the lack of space in the root partition could have been to blame. I had some tasks that I wanted to complete and thought I'd better do something about the lack of space before it became an even bigger problem. What happened As per usual all this happened when I was short of time and I was in a bit of a hurry. Lesson one don't do this sort of thing when your in a bit of a hurry. Because I was in a hurry I didn't spend time doing a complete backup. Lesson two do a backup. My plan was to get some space back by shrinking my home partition leaving some empty space to allow me to increase the size of my root partition. For speed and ease I decided to use Gparted as I have used this many times in the past. Wikipedia article about Gparted Official Gparted webpage It's not a good idea to try and resize and or move a mounted filesystem so a bootable live version of Gparted would be a good idea. The reason for this is that if you run Gparted from your normal Linux OS and the OS decides to write something to the disk while Gparted is also trying to write or move things on the disk then as you could imagine very bad things could and probably would happen. I knew I had an old bootable live CDROM with Gparted on it as I had used this many times in the past though not for a few years. As I was short on time I thought this would be the quickest way to get the job done. I booted up the live CD and setup the various operations such as shrinking the home partitions, moving it to the right to leave space for the root partition then finally increasing the size of the almost full root partition. What I didn't notice at the time is that there was a tiny explanation mark on at least one of the partitions. I probably missed this because I was in a hurry. Lesson three don't rush things and be on the lookout for any error messages. When I clicked the green tick button to carry out the operations it briefly seemed to start and almost instantly stopped saying that there were errors and that the operation was unsuccessful and something about unsupported 64 bit filesystems. At this point I thought / hoped that nothing had actually happened. My guess was that the old live Gparted distribution I was using didn't support Ext4 though I could be completely wrong on this. Lesson four don't use old versions of Gparted particularly when performing operations on modern filesystems. Wikipedia article about the Ext4 filesystem I removed the Gparted bootable CD and rebooted my PC. At this point I got lots of errors scrolling up the screen I then got a message I've never see before from memory I think it said Journaling It then said something about pass 1 pass 2 pass 3 and continued all the way to 5. Then it talked about recovering data blocks. At this point I got very nervous. I had all sorts of fears going through my head. I imagined I may have lost all the contents of my hard-rive. The whole experience was very scary. I let it complete all operations and eventually my Ubuntu operating system came up and seemed okay. I rebooted the PC and this time it booted correctly with no error messages and everting was okay. I have often seen things said about Journaling filesystems and how good they are though until this point I had never seen any real examples of them repairing a filesystem. Both my root and home partitions were EXT 4 and thankfully EXT 4 supports Journaling which I believe on this occasion saved me from a great deal of pain. Lesson five it might be a good idea to use Journaling filesystems. Wikipdeai article about Journaling filesystems This still left me with the original problem in that I had little free space on my root filesystems. This time I decided to take my time and break the task up into smaller chunks and not to do it in one go. First I downloaded the newest Live distribution version of Gparted I performed the checksum test to make sure the download was successful with no errors. The next day I tried to write it to a CD-ROM something I haven't done for a very long time. I initially couldn't understand why I couldn't click on the write button then I looked at my blank CD-ROM using the UBUNTU GNOME DISKS application. It reported that the disk was read only. I did a bit of goggling and came across a post saying that they had come across this and that they solved this by installing the CD-ROM writing application Brasero. Wikipedia article about Brasero ) Official website for Brasero Installing Brasero solved the problem and allowed me to write the image file to CD-ROM. I was actually surprised that it wasn't installed as I've used this application in the past. Just goes to show how long it's been since I've written anything to CD-ROM! I booted the CD-ROM to check that Gparted worked and didn't see any explanation marks on any of my partitions. I was short on time and didn't want to rush things so decided to stop at this point. Later on I popped the live bootable Gparted CD-ROM running version 1.6.0.3 AMD 64 version into my PC and booted it up. Everything seemed okay and there were no errors showing. I took my home partition SDA6 and shrunk it down by about 20 GB and then shifted it 20 GB to the right to the end of the disk. This left a 20 GB gap at the end of my root partition. I then increased the size of my root partition SDA5 by approximately 20 GB to fill the empty space. It took Gparted about one hour and 40 minutes to complete all the operations. The root partition is now reporting 61% full rather than 86% full. The root partition is now approximately 53 GB in size with 31 GB used. 22 GB is now free which is a bit more comfortable. Picture 1 Is a screenshot of GParted showing the new sizes of my root and home partitions. I removed the GParted CD from my CD-ROM drive and rebooted the PC to thankfully find all was well and no errors reported. Conclusion My PC is now running more smoothly. All I can say after all this is that I consider myself very lucky this time and I hope I learned some valuable lessons along the way. Provide feedback on this episode.

We want leaders to do the right thing when tested, and we want and believe we will rise to the challenge when the moment presents itself. But the current way we learn how to act ethically in those critical moments doesn't always translate or cause us to think we can do it effectively and confidently. Why not? How can we better prepare ourselves and our leaders when the moment arises? This is that episode. Giving Voice to Values (GVV) is an innovative approach to values-driven leadership development in business education and the workplace. Drawing on actual experience and scholarship, GVV fills a long-standing critical gap in the development of values-centered leaders. It's not about persuading people to be more ethical. Rather GVV starts from the premise that most of us already want to act on our values, but that we also want to feel that we have a reasonable chance of doing so effectively and successfully. In this episode we'll explore how to raise those odds.***ABOUT OUR GUEST:Mary C. Gentile, PhD,  is Creator and Director of Giving Voice to Values (www.GivingVoiceToValuesTheBook.com), launched with The Aspen Institute and Yale School of Management and hosted at Babson College for 6 years, now based at UVA-Darden. This values-driven leadership curriculum has been piloted and/or presented in over 1,500 sites globally and has been featured in Financial Times, Harvard Business Review, Stanford Social Innovation Review, McKinsey Quarterly, etc. Gentile is a consultant, speaker and author on GVV. She was formerly the Richard M. Waitzer Bicentennial Professor of Ethics at UVA Darden  (2016-2022) and was previously at Harvard Business School (1985-95) and Babson College (2009—2015). She holds a B.A. from The College of William and Mary and Ph.D. from State University of New York-Buffalo.Gentile's publications include: Giving Voice to Values: How To Speak Your Mind When You Know What's Right; Can Ethics Be Taught? Perspectives, Challenges, and Approaches at Harvard Business School (with Thomas Piper & Sharon Parks); Differences That Work: Organizational Excellence through Diversity; Managerial Excellence Through Diversity: Text and Cases, as well as cases and articles in Harvard Business Review, Stanford Social Innovation Review, Academy of Management Learning and Education, Risk Management, CFO, BizEd, Strategy+Business, and others. Gentile was Content Expert for the award-winning CD-ROM, Managing Across Differences (Harvard Business School Publishing). ***IF YOU ENJOYED THIS EPISODE, CAN I ASK A FAVOR?We do not receive any funding or sponsorship for this podcast. If you learned something and feel others could also benefit, please leave a positive review. Every review helps amplify our work and visibility. This is especially helpful for small women-owned boot-strapped businesses. Simply go to the bottom of the Apple Podcast page to enter a review. Thank you!***LINKS MENTIONED IN EPISODE:www.gotowerscope.comwww.GivingVoiceToValuesTheBook.com#GivingVoicetoValues, #TheHardSkills #LeadershipDevelopment #LeadershipValues #ValuesDrivenLeadershipTune in for this empowering conversation at TalkRadio.nyc

This week on High Society Radio, Chris Faga, Chris Stanley, and special guest Mike Rainey break down the NCAA brackets, Epstein Island's worst bartender, and how long until every woman is a pornstar. Plus, the dark side of Hollywood, Ozempic conspiracies, and the absolute rug-pull of Pregnant Butt Coin.

Being that it's almost St. Patrick's Day, Max, James, and Ryan decide to gamble with Leprechaun 3, a horror series that somehow has evaded the podcast for over 200 episodes. Is it worth the gamble, or will the House win the guy's time and beer money?Collect your winnings at 1:34:18 for the post movie wrap up on all things Leprechaun 3, an extensive review of seasonal beers, and an Accurate and Correct ranking of all 8 Leprechaun films by our Qualified Expert.Like what we're doing? Want to choose future episodes? Want to help us afford educational folklore CD-Roms? Check out our Patreon: https://www.patreon.com/goodbrewsbadviewsOpening theme: Tha Silent Partner – Prohibition Brew and Pork

Get Ready to Crack Open the Tradition of Cascarones with Author Sarah Fajardo! If you're looking to add a little extra fun and cultural flair to your family's reading time, you'll love learning about the vibrant tradition of cascarones from children's book author Sara Fajardo. In this delightful episode, Sara takes us on a journey through the history and origins of these confetti-filled eggshells, tracing their roots all the way back to China before making their way to Mexico and beyond. As a dual immersion teacher and Peruvian-American, Sara shares her personal connection to the cascarone tradition, recounting cherished memories of her family's Carnaval celebrations back in the Andes. She explains how this playful custom eventually made its way to the United States, where her own mother reintroduced it to their family, sparking Sara's lifelong love for the unique tradition. We also hear from Dave Bush, who is using multimedia elements to bring a new kind of storytelling experience to life with his web novella "Stonecallers." Dave shares how he and his wife co-created this interactive project, drawing inspiration from early CD-ROM experiments in the 90s to engage reluctant readers in a captivating mystery. And we take a listen back to our past conversation with mother - daughter team Norma Roth and Shana Penn who tells us how a tiny rainbow on a mailbox got their book banned in Florida. Click here to visit our website – www.ReadingWithYourKids.com Follow Us On Social Media Facebook - https://www.facebook.com/readingwithyourkids Instagram - https://www.instagram.com/readingwithyourkids/ X - https://x.com/jedliemagic LinkedIn - https://www.linkedin.com/company/reading-with-your-kids-podcast/ Please consider leaving a review of this episode and the podcast on whatever app you are listening on, it really helps!

Free preview episode cross-over with the Bang-Bang Podcast. A madcap collage of American Berserk—that's one way to describe David O. Russell's Three Kings, and it's exactly how Van, Lyle, and screenwriter Kevin Fox dive into it.This two-part episode (the second installment drops shortly) unpacks the film's wild genre mash-up: comic book absurdities collide with nods to Star Wars and Apocalypse Now, all while a grim commentary on U.S. militarism and society simmers underneath. The group digs into how the film disorients viewers with slapstick humor and sudden, brutal violence—like Mark Wahlberg's character, whose torture by an Iraqi soldier (grieving the loss of his son to an American bombing) flips the script on American power. When Wahlberg's character feebly defends U.S. actions as “maintaining stability in the Middle East,” the soldier shoves a CD-ROM in his mouth—a searing metaphor for the imposition of U.S. hegemony.From cartoonish “United States of Freedom” patriotism to cow guts and milk truck explosions, Three Kings might not be the perfect vehicle for telling Americans—and all the privileged in the Global North—what they need to hear. But at times, it sure comes close.Subscribe to the Bang-Bang Podcast to unlock the rest of this episode, Part II, and the entire Bang-Bang catalog: https://www.bangbangpod.com/p/part-i-three-kings-1999-w-kevin-foxFurther ReadingKevin's Website“The Class of 1999: ‘Three Kings',” by Matthew Goldenberg“Three Kings: neocolonial Arab representation,” by Lila Kitaeff“The Gulf War, Iraq and Western Liberalism,” by Peter Gowan“The Gulf War's Afterlife: Dilemmas, Missed Opportunities, and the Post-Cold War Order Undone,” by Samuel Helfont

We're finally blessed with the presence of Dodger this week to chat about how getting old is super weird, another pitch for Tub Grub, being on LSF, League of Legends spreading, Monster Hunting and more! We also get the lowdown on Kingdom Come Deliverance 2, indie darlings, retro games and a very extended look into VRChat. 0:00 - Intro1:00 - The times are changing6:00 - LSF10:00 - Tub grub15:30 - Indie games24:40 - PSN down for 20 hours27:00 - Civilization VII32:00 - Sworn47:10 - GTA6 still on track to release in 202548:00 - Borderlands52:00 - The Switch 54:00 - Avowed58:20 - Battlefield Labs1:09:20 - Monster Hunter Wilds approaching1:17:00 - The League virus1:23:00 - Riot removes F2P features1:34:00 - Kingdom Come Deliverance 21:59:20 - Ender Magnolia2:08:20 - Is This Game Trying to Kill Me?2:10:00 - Pitching Dodger games2:17:10 - Urban Myth Dissolution Center2:23:30 - VRChat2:39:00 - CD-Rom-a-thon2:47:00 - ShoutoutsSee omnystudio.com/listener for privacy information.

Dans cet épisode,  nous accueillons Jean-Noël Lafargue, un auteur, artiste, enseignant et chercheur français inclassable, qui pense l'art et le numérique par  le code, et bien plus encore. Après des études aux Beaux-Arts de Paris, il obtient un diplôme d'études approfondies (DEA). Il commence comme maître de conférences associé à l'Université Paris 8, puis devient professeur d'art à l'École supérieure d'art et de design (ESAD) d'Amiens et continue son enseignement à l'École supérieure d'art et design Le Havre-Rouen.Jean-Noël a participé à une quinzaine de CD-ROMs pour des éditeurs tels que Hyptique, Montparnasse Multimédia  ou Gallimard, de nombreux sites Internet (Musée de la publicité, Musée d'Art Moderne du Luxembourg, Synesthésie), et assiste des artistes dans leurs créations numériques, notamment Jean-Louis Boissier et Claude Closky.Blogueur de référence, son site Le Dernier des blogs est une référence pour tous les amateurs de sujets contemporains, de culture des médias, de bande dessinée et des technologies, mais aussi de polémique sociétale avec Castagne.Il a signé un certain nombre de textes dans la presse ou dans des revues et a publié plusieurs ouvrages sur la culture numérique, la programmation et la vulgarisation scientifique.Bonne écoute. Liens utiles: Profil BlueSky https://bsky.app/profile/jean-no.bsky.social Le dernier des blogs: https://hyperbate.fr/dernier Ateliers Geeks https://www.ateliersgeeks.com Le livre “

This week, we delve into the Project Stargate announcement by OpenAI, Oracle and Softbank, in conjunction with President Trump, and assess the implications for OpenAi's relationship with Microsoft. We explain what Microsoft CEO Satya Nadella really meant with his CNBC zinger about the Stargate investment, and consider how Elon Musk's involvement in the new administration could play out in the tech industry. PLUS, we discuss Madrona's big new funds and the potential impact on startup activity in the Pacific NW, and find a revealing piece of Microsoft history on an old CD-ROM. Related stories: Microsoft and OpenAI tweak the terms of their cloud deal, enabling $500B Stargate AI project ‘I’m good for my $80 billion’: What Microsoft CEO Satya Nadella really meant by his Stargate zinger CNBC: Microsoft CEO Satya Nadella on $500B Stargate project: Our partnership with OpenAI continues Madrona raises $770M for new funds — here’s what the Seattle VC firm is betting on Cascade PBS: The rise of Bluesky, a not-so-Seattle-based social media company Microsoft @ 50: ‘The Road Ahead’ at 30: What Bill Gates’ classic book about the future says about the world today Learn more and register here for our special Microsoft @ 50 event, March 20, 2025, in Seattle. With GeekWire's Todd Bishop and John Cook. Editing by Curt Milton.See omnystudio.com/listener for privacy information.

In August 1995, Microsoft released a new operating system - Windows 95 – following one of the computer industry's biggest and most expensive marketing campaigns. Queues formed outside shops at midnight as people around the world waited to be among the first to buy it. The new software was designed to be more user friendly, easier to understand and aimed at ordinary people not professional programmers. Connecting to the internet would also be more straightforward. More than 40 million CD Rom copies were sold in the first year, introducing a boom in personal home computing. Sarah Leary who demonstrated the software on launch day – alongside Microsoft chairman Bill Gates and US talk show host Jay Leno – talks to Jane Wilkinson. Eye-witness accounts brought to life by archive. Witness History is for those fascinated by the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from football in Brazil, the history of the ‘Indian Titanic' and the invention of air fryers, to Public Enemy's Fight The Power, subway art and the political crisis in Georgia. We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: visionary architect Antoni Gaudi and the design of the Sagrada Familia; Michael Jordan and his bespoke Nike trainers; Princess Diana at the Taj Mahal; and Görel Hanser, manager of legendary Swedish pop band Abba on the influence they've had on the music industry. You can learn all about fascinating and surprising stories, such as the time an Iraqi journalist hurled his shoes at the President of the United States in protest of America's occupation of Iraq; the creation of the Hollywood commercial that changed advertising forever; and the ascent of the first Aboriginal MP.(Photo: Bill Gates at the Windows 95 launch. Credit: Bill Nation/Sygma via Getty Images)

We're joined in the first half by Rebel Wolves - Creative Director Mateusz Tomaszkiewicz and Writer Ariana Siarkiewicz - developers of the just announced game Blood of the Dawnwalker! We chat about the narrative ambitions of the game, and what a narrative sandbox really means. In the back half we get into some of the news such as the Switch 2 being officially revealed, TikTok being banned and unbanned. Our roach expert Cohh weighs in on the recent Twitch drama and POE2 drama. Games we're playing: Dynasty Warriors Origins, The First Berserker Khazan demo, Indiana Jones, Oni and more! 0:00 - Intro1:00 - Cats1:55 - Interview with Rebel Wolves (Blood of the Dawnwalker devs)13:20 - What is a narrative sandbox?55:00 - Rebel Wolves shoutouts57:40 - Knowing the people who make our games1:00:00 - TikTok1:05:40 - The Switch 2!1:16:00 - PlayStation cancels more GaaS games1:20:00 - Dragon Age: The Veilguard director leaving Bioware1:25:00 - Studies suggest players want shorter games1:28:30 - The First Descendant loses 96% players1:29:50 - David Lynch passed away1:33:40 - Roach expert Cohh1:39:00 - Comedy stuff1:42:50 - Shuhei Yoshida on Bloodborne1:49:00 - Elon's maps1:54:40 - Dynasty Warriors Origins2:10:30 - CD-ROM-a-thon2:35:40 - League hell2:36:40 - The First Berserker Khazan2:45:10 - Indiana Jones2:47:50 - Vtuber haters2:53:20 - ShoutoutsSee omnystudio.com/listener for privacy information.

Y2K was one of those memorable events for people in our age group (under 30, of course

In this episode, we are joined by Everson Siqueira of Geek Detour. Brought to you by PCBWay (https://jle.vi/pcbway) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).Everson's career is a fascinating blend of creativity, innovation, and technology. Starting his journey in Electronics and Advertising, he worked as a Web Designer and Programmer for tech giants like AOL and Yahoo! in Brazil, creating CD-ROMs, Flash games, and iOS apps.After relocating to Spain, Everson pursued a Master's in 3D Game Design, marking a turning point that deepened his love for creative technology. This passion inspired the launch of his original YouTube channel, "YouHaveAniPad," which later transformed into "Geek Detour." Today, "Geek Detour" focuses on the incredible world of 3D printing, Arduinos, and maker culture, showcasing Everson's journey as a tech enthusiast and innovator.In this episode, Everson shares his unique career path, insights into 3D printing and Arduino projects, and how his background in game design influences his maker mindset.

Lords: * James * https://pounced-on.me/@Triplefox * Kev * https://kevzettler.com/ * https://www.youtube.com/@MikeMotion83 Topics: * Copyparty * Egg punk vs. chain punk * Going geocaching three times * https://media24.fireside.fm/file/fireside-uploads-2024/images/3/3597ddeb-e52e-4cda-a59c-c64600489fea/ugJWqQdP.jpg * Septic Tanks * https://media24.fireside.fm/file/fireside-uploads-2024/images/3/3597ddeb-e52e-4cda-a59c-c64600489fea/q0tW8KtD.jpg * Certain kinds of trash you don't see any more * Mosquito bites Microtopics: * Multiple recurring lords. * Going back to an earlier episode to listen to the plugs. * Agreeing to a copy party without knowing what it is. * Multi-part RARs. * Putting together educational material for your hypothetical younger self. * Manually extracting files over a physical USB connection. * Org-mode. * A collection of ogg vorbis music. * Your personal learning mind-map for learning how to draw. * The bottom end of expertise. * Two contrasting branches of the punk community. * Nerdy; dancey; influenced by Devo. * Musical genres refusing to converge no matter how close they get. * genres refusing to converge no matter how close they get. * How old you have to be to know about My Bloody Valentine. * Finally getting your act together and installing the right app and logging into the right web site. * Finding excuses to be more engaged with nature. * Having conversations, like you do with friends in a park. * Finding an Altoids tin where you would expect to find a bunch of spider webs. * Walking through half-nature in near-complete darkness. * Climbing down a rocky embankment in near-complete darkness with your phone in one hand. * Caches getting muggled. * Null Island. * Realizing that you're about to go on the bad kind of adventure. * A passing wizard complimenting you on your ironic orc-detecting sword. * A stuffed BB-8 that you use for photo opportunities. * Leaving one line of your toilet poem blank in case you think of a good rhyme for "too." * The kind of poem you put in your bathroom. * A pithy way to say what to put in the toilet. * Telling the restaurant's poet laureate that he really nailed that septic tank poem. * Using a black marker to redact the line about cigarette butts from your poem. * A book that reads like browsing Reddit. * Taking your mind off of your butt for five minutes. * Whether Law and Order was ever an accurate depiction of police procedure. * How they convicted or didn't convict the latest perp. * Uncle John's Bathroom Reader. * TV Guides lying on the street. * The genre of children's craft made from newspaper. * Archaeologists finding a thousand year old USB drive and finding a bunch of PDFs and videos about how to learn to draw. * FAT16 vs. FAT32. * Multi-volume ARJ files. * Putting together dual-purpose CDs for punk banks. * CD-ROMs shaped like a business card. * Inserting mini-CDs into a slot loading CD drive. * What it takes to make an indie Gamecube game. * Side-factoids about Luigi's Mansion. * Luigi's Mansion counting the volume of dust you've vacuumed through the whole playthrough. * The new Duck Tales game modeling the physics of every treasure you can collect so you can swim in them. * Mosquito activity in the midwest. * Hanging out around mosquito predators. * Mosquitos waking up for the gloaming and then going back to bed. * Finding the one high-altitude spot in the Panhandle to avoid the mosquitos. * Feeling bad about killng mosquitos after playing Hollow Knight. * Your favorite mind control force. * Golfers hitting that ball to make the number go down when they could just play less and it'd stay at 0 forever.

fWotD Episode 2769: PlayStation (console) Welcome to Featured Wiki of the Day, your daily dose of knowledge from Wikipedia’s finest articles.The featured article for Tuesday, 3 December 2024 is PlayStation (console).The PlayStation (abbreviated as PS, commonly known as the PS1/PS one or its codename PSX) is a home video game console developed and marketed by Sony Computer Entertainment. It was released in Japan on 3 December 1994 followed by North America on 9 September 1995, Europe on 29 September 1995, and other regions following thereafter. As a fifth-generation console, the PlayStation primarily competed with the Nintendo 64 and the Sega Saturn.Sony began developing the PlayStation after a failed venture with Nintendo to create a CD-ROM peripheral for the Super Nintendo Entertainment System in the early 1990s. The console was primarily designed by Ken Kutaragi and Sony Computer Entertainment in Japan, while additional development was outsourced in the United Kingdom. An emphasis on 3D polygon graphics was placed at the forefront of the console's design. PlayStation game production was designed to be streamlined and inclusive, enticing the support of many third-party developers.The console proved popular for its extensive game library, popular franchises, low retail price, and aggressive youth marketing which advertised it as the preferable console for adolescents and adults. Premier PlayStation franchises included Gran Turismo, Crash Bandicoot, Spyro, Tomb Raider, Resident Evil, Metal Gear, Tekken, and Final Fantasy, all of which spawned numerous sequels. Sony ceased production of the PlayStation on 23 March 2006—over eleven years after it had been released, and less than a year before the debut of the PlayStation 3. More than 4,000 PlayStation games were released, with cumulative sales of 962 million units.The PlayStation signalled Sony's rise to power in the video game industry. It received acclaim and sold strongly; in less than a decade, it became the first computer entertainment platform to ship over 100 million units. Its use of compact discs heralded the game industry's transition from cartridges. The PlayStation's success led to a line of successors, beginning with the PlayStation 2 in 2000. In the same year, Sony released a smaller and cheaper model, the PS one.This recording reflects the Wikipedia text as of 00:30 UTC on Tuesday, 3 December 2024.For the full current version of the article, see PlayStation (console) on Wikipedia.This podcast uses content from Wikipedia under the Creative Commons Attribution-ShareAlike License.Visit our archives at wikioftheday.com and subscribe to stay updated on new episodes.Follow us on Mastodon at @wikioftheday@masto.ai.Also check out Curmudgeon's Corner, a current events podcast.Until next time, I'm generative Matthew.

Sega's Saturn premiere flops, The Game Industry ditches CES for E3 & Nintendo goes for cheap VR These stories and many more on this episode of the VGNRTM! This episode we will look back at the biggest stories in and around the video game industry in July 1994.  As always, we'll mostly be using magazine cover dates, and those are of course always a bit behind the actual events. Alex Smith of They Create Worlds is our cohost.  Check out his podcast here: https://www.theycreateworlds.com/ and order his book here: https://www.theycreateworlds.com/book Get us on your mobile device: Android:  https://www.google.com/podcasts?feed=aHR0cHM6Ly92aWRlb2dhbWVuZXdzcm9vbXRpbWVtYWNoaW5lLmxpYnN5bi5jb20vcnNz iOS:      https://podcasts.apple.com/de/podcast/video-game-newsroom-time-machine And if you like what we are doing here at the podcast, don't forget to like us on your podcasting app of choice, YouTube, and/or support us on patreon! https://www.patreon.com/VGNRTM Send comments on  Mastodon @videogamenewsroomtimemachine@oldbytes.space Or twitter @videogamenewsr2 Or Instagram https://www.instagram.com/vgnrtm Or https://bsky.app/profile/vgnrtm.bsky.social Or videogamenewsroomtimemachine@gmail.com Links: If you don't see all the links, find them here:     https://www.patreon.com/posts/july-1994-116535754 Or check out the complete version of this month's two-parter here: https://www.patreon.com/posts/july-1994-116535754 7 Minutes in Heaven: Streets of Rage 3 Video Version: https://www.patreon.com/posts/7-minutes-in-of-116533647     https://www.mobygames.com/game/11193/streets-of-rage-3/ Corrections: June 1994 Ep - https://www.patreon.com/posts/june-1994-113403594 Ethan's fine site The History of How We Play: https://thehistoryofhowweplay.wordpress.com/     https://www.mobygames.com/group/427/dragons-lair-series-and-versions/     https://en.wikipedia.org/wiki/Entertainment_Software_Association     https://en.wikipedia.org/wiki/Comics_Code_Authority     Kelsey Lewin did a video on the Extertainment Bike  https://www.youtube.com/watch?v=nEuAWIU89sQ     The bat was called the Batter-Up Bat https://www.youtube.com/watch?v=6jt3Fa1c_zg     I think Tom Kalinske is mixing memories with 1994 Summer CES      https://www.youtube.com/watch?v=kc4trf57Rgg      https://www.youtube.com/watch?v=sUn7cERhImY      https://www.polygon.com/features/2019/6/7/18653968/e3-history-1995-sega-saturn-nintendo-64-playstation-launch     https://en.wikipedia.org/wiki/Marcia_Lucas     https://www.mobygames.com/game/4572/final-fantasy-ii/     https://www.mobygames.com/game/5202/final-fantasy-iii/ 1994: Japanese console sales drop dramatically     JAPANESE MARKET SHARES, Consumer Electronics, July 11, 1994, Section: THIS WEEK'S NEWS, Vol. 34, No. 28 Pg. 15 Weak dollar hurts Japanese exports     95-YEN RATE DEVASTATING FOR MOST EXPORTS, Jiji Press Ticker Service, JULY 14, 1994, THURSDAY     https://www.macrotrends.net/2550/dollar-yen-exchange-rate-historical-chart Convertible bonds are big in Japan     Issuances of convertible bonds swell Higher Rates Hold Down Volume Of Straight Bonds, The Nikkei Weekly (Japan), July 25, 1994, Section: FINANCE; Pg. 15     Sega's long-term debt rated A3, Japan Economic Newswire, JULY 28, 1994, THURSDAY Semiconductor industry breaks mold     Market Place; Are investors in semiconductor stocks living in the past?, The New York Times, July 15, 1994, Friday, Late Edition - Final, Section: Section D; ; Section D; Page 6; Column 3; Financial Desk ; Column 3; Byline: By John Markoff Trip Hawkins leaves EA     NEW PCMCIA NEWSLETTER; CMP STAFF TO INTERACTIVE WEEK; EWORLD EYES LARGE ONLINE ACCOUNTS; HAWKINS LEAVES PRIOR, FIRM, Advertising Age, July 04, 1994, Section: Pg. 35      MediaVision premises searched     Media Vision Bankruptcy, The New York Times, July 27, 1994, Wednesday, Late Edition - Final, Section: Section D; ; Section D;  Page 20;  Column 5;  Financial Desk ; Column 5;         https://archive.org/details/PC-Player-German-Magazine-1994-07/page/n13/mode/2up     https://en.wikipedia.org/wiki/Media_Vision#Products Time Warner wants to make ads interactive     TIME WARNER INTERACTS WITH MORE THAN ORLANDO DEAL WITH INTERPUBLIC GIVES AGENCY GROUP ACCESS TO VIDEOGAMES, CD-ROMS, Advertising Age, July 04, 1994, Section: Pg. 18, byline: By Scott Donaton     ARTERIAL AVENGER VIDEO GAME AVAILABLE FOR COMMUNITY EVENTS/HEALTH FAIRS, PR Newswire, July 7, 1994, Thursday - 10:45 Eastern Time, Section: State and Regional News           Video game offers early intervention in the fight against tobacco use; "Rex Ronan -- Experimental Surgeon" goes inside the human body to illustrate the dangers of smoking, Business Wire, July 15, 1994, Friday     BATES USA SURVEY IS BULLISH ON INTERACTIVE PREDICTS $7.2 BILLION MARKET WITHIN 10 YEARS;ADS WILL SUBSIDIZE COSTS, Advertising Age, July 11, 1994, Section: Pg. 26, byline: By Scott Donaton     Leagas Delaney 'Predator' commercial takes slot in World Cup computer game, Campaign, July 15, 1994, Business and Industry, Section: Pg. 31;     https://www.mobygames.com/game/134894/tricky-quiky-games-die-suche-nach-den-verschollenen-seiten/  https://www.mobygames.com/game/6717/helicopter-mission/        https://www.mobygames.com/game/9244/bi-fi-roll-action-in-hollywood/  https://archive.org/details/Aktueller_Software_Markt_-_Ausgabe_1994.07/page/n7/mode/2up        https://archive.org/details/Aktueller_Software_Markt_-_Ausgabe_1994.07/page/n9/mode/2up McDonald's launches first FMV ad on AOL     McDonald's to Post Golden Arches Along Information Superhighway, Wall Street Journal (3 Star, Eastern (Princeton, NJ) Edition), July 21, 1994, Business and Industry, Section: Pg. B7; Vol. 224; No. 14; ISSN: 0099-9660 HBO and Warner go interactive     Home Box Office and Warner Music Group join Michael Nash in forming new multimedia partnership, Business Wire, July 12, 1994, Tuesday GTE goes Interactive     BITS AND PIECES, TELECOMWORLDWIRE, July 1, 1994 Jim Henson goes interactive     Muppets' hand in interactivity, The Hollywood Reporter, July 21, 1994, Thursday, Byline: Scott Hettrick Time Mirror goes interactive     Rose CEO of TM Multimedia, The Hollywood Reporter, July 27, 1994, Wednesday Nick Nicholas invests in VR     Media Industry Visionary, Nick Nicholas, Becomes Major Investor in Zombie Inc., Business Wire, July 15, 1994, Friday     https://www.mobygames.com/company/1266/zombie-studios-inc/games/ Havas and Sony join forces     Alliance Havas-Sony dans l'edition electronique, Echos, July 21, 1994          Sony, Havas playing games, The Hollywood Reporter, July 22, 1994, Friday, Byline: Pia Farrell     http://jolt.law.harvard.edu/articles/pdf/v12/12HarvJLTech561.pdf France expands multimedia services     Media Futures: The French connection - John Ridding looks at the country's growing multimedia businesses / The world's superhighways, Financial Times (London,England), July 4, 1994, Monday, Section: Pg. 15, Byline: By JOHN RIDDING Telecom deregulation hits Japan     Barrier lowered between cable-TV, phone firms, The Nikkei Weekly (Japan), July 4, 1994, Section: INDUSTRY DIGEST; Pg. 9, Byline: BY NORRI KAGEKI Staff writer IDSA and SPA try to find common ground     IDSA AND SPA MEET ON RATINGS, Consumer Electronics, July 11, 1994, Section: THIS WEEK'S NEWS, Vol. 34, No. 28 Pg. 13     No Headline In Original, Consumer Electronics, July 18, 1994, Section: NOTEBOOK; Vol. 34, No. 29; Pg. 14 IDSA and SPA fail to find common ground     2 GAME RATING SYSTEMS, Consumer Electronics, July 25, 1994, Section: THIS WEEK'S NEWS, Vol. 34, No. 30      Competing rating systems revealed     Ratings Symbols Unveiled for Computer, Video Games, The Associated Press, July 28, 1994, Thursday, AM cycle, Section: Business News, Byline: By JEANNINE AVERSA, Associated Press Writer        https://legacy.3drealms.com/tech/rsac.html         https://legacy.3drealms.com/tech/esrb.html Lieberman and Kohl weigh in on systems     Ratings Symbols Set for Computer, Video Games, The Associated Press, July 29, 1994, Friday, PM cycle, Section: Business News, Byline: By JEANNINE AVERSA, Associated Press Writer        TESTIMONY REGARDING THE VIDEO GAME RATING ACT OF 1994 SUBMITTED BY MARK TRAPHAGEN - COUNSEL SOFTWARE PUBLISHERS ASSOCIATION SOFTWARE PUBLISHERS ASSOCIATION JOINT HEARING OF THE SENATE       GOVERNMENTAL AFFAIRS SUBCOMMITTEE ON REGULATION AND GOVERNMENT INFORMATION AND THE  SENATE JUDICIARY SUBCOMMITTEE ON JUVENILE JUSTICE, Federal News Service, JULY 29, 1994, FRIDAY      German voluntary game ratings begin     https://archive.org/details/Aktueller_Software_Markt_-_Ausgabe_1994.07/page/n9/mode/2up        https://usk.de/      Nintendo signs onto CESI     NINTENDO SIGNS FOR CES INTERACTIVE '95, Consumer Electronics, July 4, 1994, Section: THIS WEEK'S NEWS, Vol. 34, No. 27; Pg. 13          IDSA AND SPA MEET ON RATINGS, Consumer Electronics, July 11, 1994, Section: THIS WEEK'S NEWS, Vol. 34, No. 28 Pg. 13      ISDA chooses E3     New L.A. interactive expo lines up Sony, Sega, IDSA; E3 will take on CES and VSDA next spring, The Hollywood Reporter, July 18, 1994, Monday, Byline: Scott Hettrick     IDSA ENDORSES E3 SHOW, SAME DATES AS CES INTERACTIVE, Consumer Electronics, July 18, 1994, Section: THIS WEEK'S NEWS; Vol. 34, No. 29; Pg. 10      Namco consolidates coin op subsidiaries     Play Meter, July 1994, pg. 14 Time Warner licenses Jaguar     ATARI CORPORATION AND TIME WARNER INTERACTIVE INC. JAGUAR DEAL, PR Newswire, July 12, 1994, Tuesday - 07:53 Eastern Time, Section: Financial News, Dateline: SUNNYVALE, Calif., July 12         https://system16.com/hardware.php?id=778 Bally breaks up     Play Meter, July 1994, pg. 28 Recommended Links: The History of How We Play: https://thehistoryofhowweplay.wordpress.com/ Gaming Alexandria: https://www.gamingalexandria.com/wp/ They Create Worlds: https://tcwpodcast.podbean.com/ Digital Antiquarian: https://www.filfre.net/ The Arcade Blogger: https://arcadeblogger.com/ Retro Asylum: http://retroasylum.com/category/all-posts/ Retro Game Squad: http://retrogamesquad.libsyn.com/ Playthrough Podcast: https://playthroughpod.com/ Retromags.com: https://www.retromags.com/ Games That Weren't - https://www.gamesthatwerent.com/ Sound Effects by Ethan Johnson of History of How We Play. Copyright Karl Kuras  

Conversation with Illia Polosukhin (co-founder @nearprotocol) also known on the streets as The Black Dragon, recorded live during [Redacted] Bangkok 2024.Illia does A LOT of public appearances and interviews. On this interview we break norm and rather than focus of the tech (the WHAT) we focus instead on Illia's journey (Who and Why). Even though we only had 1 hour, the result has far exceeded our expectations. Some of the highlights:* Illia reads in Megabytes. How his life changed when someone gave him a CD ROM loaded with 700mb of .txt books fuelling his imagination.* Wild imagination and builder more from a young age. Not only did Illia start writing his own science fiction books when he was young, he also built a publishing platform to distribute them! Only catch - he never finished any of them as he got bored after he knew how things played out in his head.* Learning how to code at age 10; importance of family and supportive teachers in school. Building games and keeping cheat codes in summer camp and more!* Growing up poor, building character. How Ukraine has shaped VALUES.* Broken internet and role of MATHs, formal verification, and AI agents.* So much more!Enjoy

Mike and Joe are back from the World Between Worlds to continue their conversation about which medium is the best for telling Star Wars stories. Which format will win in the end? Hint: It's not interactive CD-ROM infotainment. What's your favourite Star Wars story? Join us on Discord or let us know on social media! Join the ThunderQuack Community Discord: https://www.thunderquack.com/discord Patreon: https://www.patreon.com/thunderquack YouTube: https://www.youtube.com/@ThunderQuack Follow Us TikTok: https://www.tiktok.com/@thunderquackpod Instagram: http://instagram.com/ForcePOV Twitter: http://twitter.com/ForcePOV Facebook: http://facebook.com/ForcePOV Threads: https://www.threads.net/@ForcePOV Bluesky: https://bsky.app/profile/thunderquack.bsky.social

Bob Stein, Atari's Encyclopedia Project   Bob Stein worked at Atari Research for 18 months beginning in 1981. He was hired by Alan Kay. He worked almost exclusively on an encyclopedia project, a potential collaboration between Atari and Encyclopaedia Britannica that never went anywhere.   I learned about Bob after he uploaded an item called The Atari Drawings to Internet Archive. It's a collection of nine colorful pencil drawings, drawn in 1982 by Disney animator Glen Keane. The drawings depict futuristic scenarios where people use a computerized encyclopedia to get information: for instance, "An earthquake wakes a couple in the middle of the night. The Intelligent Encyclopedia, connected to an online service, informs them of the severity of the earthquake and makes safety tips readily available." and "A mother and her children looking into a tidepool in Laguna ask the Intelligent Encyclopedia about the plants and animals that they see."   Bob described the collection of art in his introduction to the document:   "In 1982 executives from Warner, Inc., Atari's parent company, were scheduled to visit the Research Lab where the Encyclopedia Project was located. Brenda Laurel and I came up with these scenarios to give the execs a sense of what we were working toward. The drawings were made by Disney animator, Glen Keane.   When you look at these, remember they were made 16 years before Google and 12 years before Yahoo, even 8 years before the earliest web-based search engines.   That said, one of the most interesting things about these scenarios as seen today, is that with the exception of the image of the architect and the teacher none of them indicated any inkling that the most important element of the web to come was that it would bring people into contact with each other. What we see here is almost entirely people accessing content from a central server, no sense that we would be communicating with each other or uploading our own contributions to the collective culture. My own explanation for this lapse focuses on the print-era mentality that saw readers purely as consumers of content."   Bob saved and scanned a large number of materials from his time at Atari, and uploaded them to Internet Archive. In addition to the scans of Keane's Atari Drawings, the documents include memos about the encyclopedia project and a transcript of a 1982 seminar for Atari Research featuring Charles Van Doren. Check the show notes for those links.   After Atari, Bob was co-founder of The Criterion Collection, which restores and distributes important classic films; and co-founder of The Voyager Company, the first commercial multimedia CD-ROM publisher. In 2004, he co-founded The Institute for the Future of the Book, a think tank "investigating the evolution of discourse as it shifts from printed pages to networked screens."   This interview took place December 16, 2023.   Video version of this interview at YouTube   The Atari Drawings   ANTIC Interview 420 - Brenda Laurel, Atari Research   Whither The Encyclopedia Project - Atari Encyclopedia Project memos   Back to the Future -- In honor of Encyclopedia Britannica giving up its print edition (Wayback machine)   Stein Kay Atari Memos Pt 1   Stein Kay Atari Memos Pt 2   Exchange With Steve Weyer And J. David Bolter 1983   Hadley Letter 1980-12-01   Atari...Ifugao Question Journal, Michael Naimark   CVD Atari Seminar 20 December 1982   Encyclopedia And The Intellectual Tools Of The Future . . . November 1981   Bob Stein Archives at Stanford   The Digital Antiquarian — Bob Stein and Voyager   Charles Van Doren in Wikipedia   Bob Stein wants to change how people think about the book (2010)

Today, we're heading back to the late 80s to explore the NEC PC Engine, better known in North America as the TurboGrafx-16. We start by uncovering the partnership between NEC and Hudson Soft, whose collaboration resulted in one of the smallest yet most powerful consoles of its time. Then, we'll look at the PC Engine's innovative features, including its compact HuCard media and groundbreaking CD-ROM add-on, which helped set it apart from competitors. We'll also explore the console's journey across the Pacific, its rebranding as the TurboGrafx-16, and its challenges in the U.S. market against the Sega Genesis. Finally, we'll reflect on the PC Engine's legacy, from its celebrated library to its impact on gaming technology. So, grab your controllers and join us as we power up the PC Engine on today's trip down Memory Card Lane.

Stanton Friedman was an easy choice for the first PRG Hall of Fame Inductee (living). He is one of the longest serving and most dedicated, effective, consistent, insistent and persistent extraterrestrial-related phenomena researchers in the world and has been for 37 years. He is and has been the rock at the center of the citizen-science movement. Biography and AccomplishmentsStanton Friedman spent two years at Rutgers University in New Brunswick, New Jersey before switching to the University of Chicago in 1953. He received BS and MS degrees in Physics from UC in 1955 and 1956, where Carl Sagan was a classmate. He worked for fourteen years as a nuclear physicist for such companies as General Electric, General Motors, Westinghouse, TRW, Aerojet General Nucleonics, and McDonnell Douglas on such advanced, highly classified, eventually canceled projects as nuclear aircraft, fission and fusion rockets, and nuclear power plants for space.Since 1967 he has lectured on the topic Flying Saucers ARE Real at more than 600 colleges and over 100 professional groups in fifty states, nine Canadian provinces, England, Italy, Germany, Holland, France, Finland, Brazil, Australia, Korea, Mexico, Turkey, Argentina, and Israel. He has published more than 70 papers on UFOs besides his dozens of conventional articles and appeared on hundreds of radio and TV shows. These include the TNT Larry King UFO Special on Oct.1, 1994; Nightline; Sally Jessie Raphael; Unsolved Mysteries; Entertainment Tonight; Leeza; Sightings; Canada AM; Coast to Coast AM with Art Bell and many more.Stan is the original civilian investigator of the Roswell Incident, who co-authored Crash at Corona and instigated the Unsolved Mysteries Roswell program. He was heavily involved in both the 1979 documentary UFOs are Real and the 1993 & 1996 videos Flying Saucers Are Real.His new interactive CD ROM, UFOs: The Real Story, was published in 1996. TOP SECRET/MAJIC (Marlowe and Co., NY, 1996), his explosive book about the Majestic 12 group established in 1947 by President Truman to deal with crashed saucers, includes classified documents never before published. It is already in its 6th printing.Stan anchored the affirmative team in an October 1995 debate at Oxford University, This House Believes That Intelligent Alien Life Has Visited Planet Earth, garnering 60% of the member-vote. On June 27,1997 his TV Debate team got 92% of 100,000 votes called into ITV in London, England: Are Aliens visiting Earth? He has provided testimony to congressional hearings, appeared twice at the United Nations, and pioneered many aspects of extraterrestrial phenomena research, including the Betty Hill star map work, crashed saucers, analysis of the Delphos physical trace case, and challenges to the S.E.T.I. (Silly Effort To Investigate) cultists. Stan has spent many weeks at a total of nineteen document archives. He has also been involved in numerous scientific research and development projects since moving to Canada in 1980.He takes a clear-cut unambiguous stand that:Some UFOs are alien spacecraft.The subject of flying saucers represents a kind of Cosmic Watergate.None of the anti-UFO arguments stand up to careful scrutiny.We are dealing with the biggest story of the millennium.Visits to planet Earth by alien spacecraft are real.Cover-up by governments of the best data is happening.Wreckage and bodies were recovered in New Mexico 54 years ago.He holds dual USA and Canadian citizenship and lives in Fredericton, New Brunswick, Canada.Published BooksCrash at Corona: The Definitive Story of the Roswell Incident (1997)TOP SECRET/MAJIC (1996)VideosUFO Experience: Stanton Friedman (1998)Flying Saucers are Real, Vol. 2 (1996)Flying Saucers are Real, Vol. 1 (1993)UFOs: The Real Story (1996)Become a supporter of this podcast: https://www.spreaker.com/podcast/the-x-zone-radio-tv-show--1078348/support.

Spice Girls! | CD-Rom! | The First SMS!Without a doubt the best decade ever....! We have a quiz with ten questions all about the magic of the 1990s!Were you there? You'll get 10/10!Were you there but you can't remember? You'll probably get 10/10!Weren't you born then? You'll get at least 8/10!All about 1990s. 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998 and 1999. Something for everyone! Sit back and enjoy the decade of trance, dial-up internet, Britpop, Royal scandals and more!---Created and Presented by James at Quiz Coconut.Music and Editing by Jules at Abstract Source: abstractsource.co.ukDesign by Ben at Ich Bin Ben: ichbinben.comQuiz CoconutUK: www.quizcoconut.co.ukCanada: www.quizcoconut.caWorldwide: www.quizcoconut.comVisit quizcoconut.com/podcast to send in your listener question! Hosted on Acast. See acast.com/privacy for more information.

We're talking about 1996's Muppet Treasure Island CD-ROM game! With EXTREMELY special guest Craig Shemin, one of the writers of the game! PLUS: When Windows 95 was strange and new! Stevenson, your adventure parrot! The Muppets occupy 1/4 of the screen! The absence of Mr. Bimbo! And turning limitations into assets! Hosted by Anthony Strand & Ryan Roe Guest Craig Shemin Produced & Edited by Ryan Roe Logo by Morgan Davy Movin' Right Along: A Muppet Movie Podcast is available at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ToughPigs.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or on Apple Podcasts, Spotify, Google Podcasts, Podcast Addict, Podbean, or wherever you get podcasts!

Pro Audio Design Engineer Andy Bereza summarises his impressive career in a chat with Paul Gilby. Andy founded Allen & Heath Mixers before working for TEAC/Tascam, where he conceived the TEAC Portastudio the portable multitrack cassette tape recorder that revolutionised the home recording market in the 1980s. He then co-founded Bandive-Turnkey where he developed a range of budget signal processors and the famous Great British Spring reverb to sell to the rapidly expanding Home Studio Recording market. At the same time, he was a consultant for the Fostex X15 multitrack cassette as well as helping to steer further product designs. Chapters00:00 - Introduction00:34 - Getting Into Electronics01:45 - Building Custom Desks04:09 - Allen & Heath Mixers06:07 - The Minimixer08:54 - The Pink Floyd Desks12:24 - Allen & Heath Mod II Mixer13:20 - Expanding The Company15:23 - Moving To Tascam 16:58 - Constructing The Portastudio 21:57 - Setting Up Bandive / Turnkey24:55 - Creating Products For The Home Studio 29:03 - Fostex Releases in the 80s30:48 - Bandive Seck Mixers32:08 - Expanding Turnkey35:14 - Selling To Harman38:38 - Launching Digital Postcards41:07 - A Brief Career Summary42:13 - Proudest Career MomentAndy Bereza BiogAndy Bereza started his career as a Audio Design Engineer after moving to London in 1967 to study Electronics at Chelsea University. A chance encounter with Siggy Jackson in Tin Pan Alley gave him his first custom commission and many more soon followed, with Andy building mixers for Bill Shepherd (producer of the Bee Gees), Alan Price, Maurice Gibb and also a location recording mixer for the Clockwork Orange movie.In 1970 Andy became the Founder of Allen & Heath, where he initially developed the black range of mixers, then their first mass market product the Minimix. At the same time he creating custom quadraphonic live desks for The Who along with Pink Floyd's Pompeii and Dark Side Of The Moon touring desks.In 1975, Andy joined TEAC America and was employed to introduce Tascam into Europe. Then in 1976 he was contracted directly with TEAC Japan where he developed the iconic Portastudio that changed the face of the home recording industry. In 1977 he became one of the founders of Bandive Ltd and helped to develop further products for the home recording market and created the popular Turnkey By Mail catalogue during the late 1970s to mid 80s. Bandive then opened the Turnkey retail store in central London.Following the sale of Bandive / Turnkey to Harman UK in 1987, he briefly became their Marketing Director, before signing up to become Managing Director of Fostex in 1991. Later in the 90s Andy left the Pro Audio industry and turned his attention to multimedia where he developed interactive product catalogues on CD-ROM.Paul Gilby BiogPaul Gilby is the co-founder, along with his brother Ian, of Sound On Sound magazine in 1985. Having written many product reviews and interviews over the years he now heads up the Digital Media side of the business managing the team that looks after the SOS website as well as the video and podcast productions.Catch more shows on our other podcast channels: https://www.soundonsound.com/sos-podcasts

To mark the 30th anniversary of its release, Harry and Rory slide in a CD-ROM and prepare for the ultimate experience in interactive terror, Brainscan! When Terminator 2's Edward Furlong tries out the titular horror game, he finds himself immersed in a first-person, stalk-and-slash scenario that feels all too real. But once he discovers his victim was killed IRL and not in FMV, he finds himself in a waking nightmare at the mercy of virtual villain the Trickster! This podcast contains SPOILERS for Brainscan (1994), from 40:50. Visit our Website: gamesonfilm.wixsite.com/podcast Follow us on Twitter: twitter.com/GamesOnFilmPod/ Like us on Facebook: www.facebook.com/GamesOnFilmPod/ Music by David Lightfoot www.davidlightfootmusic.com

John Flansburgh of They Might Be Giants discusses the evolution of the band's pioneering approach of music and technology to create innovative media and strengthen connections to their devoted fanbase. Topic Include: October Australia tour selling out TMBG's last tour of Australia John's car accident – broken ribs They Might Be Giants' unconventional approach Early adopter approach, the gift economy Pioneering technological approaches The importance of Dial-A-Song Daily updates, the Dial-A-Song machine behaviours Where are the Dial-A-Song machines? TMBG's impressions of Napster Challenges of the music industry in early 2000s Touring used to be a losing proposition Spotify and digital music returns for artists Vinyl is becoming a large return for TMBG What TMBG albums haven't been reissued on vinyl? Loss of album artwork TMBG tapes and digital files 8-track version of “Book” TMBG never did a CD-ROM or enhanced CD TMBG approach and involvement with AI Music genres that lend themselves better to AI BBL Drizzy AI track Strangest song: playing “Saphire Bullets of Pure Love” backwards Backwards “Saphire” coming out on special 7” TMBG Instant Fan Club This Might Be a Wiki – TMBW.net Managing product flippers from Instant Fan Club A friend who used to be in Skull & Bones The story of 1st release “Wiggle Diskette” Distributing and nailing Wiggle Diskette on lamp posts around NYC 1985 TMBG cassette – reviewed by People Magazine Interview wrap up Aussies get your TMBG tickets here. Extended, Commercial-Free & High Resolution version of this podcast is available at: www.Patreon.com/VinylGuide Listen on Apple: https://apple.co/2Y6ORU0 Listen on Spotify: https://spoti.fi/36qhlc8

Original text by Steve Hayman. Humungous Entertainment's CD-ROM titles for classic Macs. The infamous Power Mac 5200 featured the horrendously slow PowerPC 603 (not the 603e). As if that wasn't bad enough, a recycled motherboard design fed the 603's 64-bit memory bus with a 32-bit wide memory subsystem, exacerbating the 603's los performance. Add some reliability issues, bring to a boil, simmer to distaste.

Episode Chapters:1:07 - Sick leave jumped by an astounding 55% from 2019 to 20236:01 - Do you speak politely to Siri – or Alexa?9:29 - 90's pop culture brands that were almost named something different18:07 - Water Cooler Quiz23:27 - Random Question: If you could work remotely from anywhere, where would that be?27:13 - Quote of the podcastSummary:In this conversation, Jason and Mindy discuss the increase in sick leave among American workers, the importance of taking mental health days, and the changing attitudes towards digital assistants. They also share interesting facts about 1990s pop culture. In this conversation, Mindy and Jason discuss various topics including Star Wars, the use of auto-tune in music, men's dislike of holding purses, and working remotely. They also apologize for not getting the answer to the water cooler quiz and end with a quote about honesty.https://www.lowtreestudios.comVisit our Store: https://www.teepublic.com/stores/lowtreestudioshttps://www.youtube.com/@lowtreestudios SICK STATS:Human resources platform Dayforce found that among American workers, sick leave jumped by an astounding 55% from 2019 to 2023. Plus, data from smaller businesses shows that 30% of white-collar workers took sick days last year, a 42% increase from 2019. And it's Gen Z that seems to be leading the charge – to not tough-it-out. Sick leave among workers under age 35 rose more than other age brackets. Experts attribute this post-pandemic rise in calling out to several factors, including Gen Z's willingness (and need) to take mental health days.According to a new survey, 48% of us believe that Siri – or Alexa deserve to be spoken to politely. In the poll, it was found that younger generations are more likely to extend common courtesies to their digital assistants: Over half of Gen Z (56%) said that politeness is their default style when interacting with AI. And 29% of those who describe themselves as “polite” when speaking with AI went even further, feeling that “everyone deserves to be treated with manners, whether human or not.” And 39% of respondents said that they feel our past behavior when speaking with our robotic helpers might affect how they respond to us in the future.1990S POP CULTURE FACTS YOU NEVER KNEW YOU NEEDED TO KNOW:☞ ‘Tickle Me Elmo' was almost named ‘Tickle Me Taz' — as in the ‘Tasmanian Devil' from Looney Tunes.☞ The Spice Girls didn't come up with their nicknames. A magazine editor and staff thought of the names as part of a feature they were running on the group.☞ Sony originally developed PlayStation as a CD-ROM add-on to Super Nintendo. It was actually called “Play Station” (2 words) and had a port for SNES cartridge games and a CD-ROM drive for Sony games.☞ Tom Hanks and director Robert Zemeckis paid for 2 Forrest Gump scenes out of their own pockets, one of which is the one where ‘Forrest' runs across the US. Paramount refused to increase the film's budget, so the pair agreed to pay for the scenes in return for a larger percentage of the film's box office.☞ The original Polly Pockets were tiny because Chris Wiggs, who created the toy for his daughter, used a makeup powder compact to create a portable dollhouse.☞ ‘Timon' and ‘Pumbaa' were originally the ones who were supposed to sing ‘Can You Feel The Love Tonight' in “The Lion King”. But when Elton John found out about it, he killed the idea, saying, “I don't want a big, stinky warthog singing my love song!”☞ George Lucas returned to directing for “The Phantom Menace”, his first time in that role since the original “Star Wars” film. But he was hesitant to do so, and only agreed after first asking Steven Spielberg, Robert Zemeckis, and Ron Howard to direct. They all said “no”.☞ Thanks to...

Full Throttle was LucasArts' eleventh adventure game overall and the tenth to use the company's in-house game engine, SCUMM. It featured full-motion video and action sequences, using LucasArts' INSANE animation engine, which was previously utilized in Star Wars: Rebel Assault II: The Hidden Empire. It was the first LucasArts game to be distributed only on CD-ROM. It also introduced a contextual pie menu through which the player controls interactions with objects and characters. In contrast to other computer games of the era, which mostly relied on in-house talent for their voice acting, Full Throttle used mostly professional voice actors, including Roy Conrad as Ben, Mark Hamill as the villainous Adrian Ripburger, Hamilton Camp as the elderly Malcolm Corley, and Kath Soucie as Ben's ally Maureen. It was one of the few LucasArts games to use licensed music, featuring songs by San Francisco-area rock band The Gone Jackals.

Nintendo and Sega financials dissapoint Sony gets ready for NextGen Venture money goes ga-ga over silliwood These stories and many more on this episode of the VGNRTM! This episode we will look back at the biggest stories in and around the video game industry in May 1994.  As always, we'll mostly be using magazine cover dates, and those are of course always a bit behind the actual events. Alex Smith of They Create Worlds is our cohost.  Check out his podcast here: https://www.theycreateworlds.com/ and order his book here: https://www.theycreateworlds.com/book or get it in the Humble Bundle here: https://www.humblebundle.com/books/game-programming-taylor-francis-books Get us on your mobile device: Android:  https://www.google.com/podcasts?feed=aHR0cHM6Ly92aWRlb2dhbWVuZXdzcm9vbXRpbWVtYWNoaW5lLmxpYnN5bi5jb20vcnNz iOS:      https://podcasts.apple.com/de/podcast/video-game-newsroom-time-machine And if you like what we are doing here at the podcast, don't forget to like us on your podcasting app of choice, YouTube, and/or support us on patreon! https://www.patreon.com/VGNRTM Send comments on Mastodon @videogamenewsroomtimemachine@oldbytes.space Or twitter @videogamenewsr2 Or Instagram https://www.instagram.com/vgnrtm Or videogamenewsroomtimemachine@gmail.com Links: If you don't see all the links, find them here: https://www.patreon.com/posts/110575391 7 Minutes in Heaven: Rebel Assault (SegaCD) Video Version:  https://www.patreon.com/posts/7-minutes-in-may-110535204     https://www.mobygames.com/game/272/star-wars-rebel-assault/     https://en.wikipedia.org/wiki/Star_Wars:_Rebel_Assault Corrections: April 1994 Ep - https://www.patreon.com/posts/april-1994-107563816 Ethan's fine site The History of How We Play: https://thehistoryofhowweplay.wordpress.com/      1994-05: Console market in a slump     Edge 8, May 1994 pg. 18 Panasonic tries to save 3DO     Edge 8, May 1994 pg. 16     https://x.com/blakejharrisNYC/status/1168364212139307008 Nintendo loosens minimum cart order rules in Japan     "Nintendo easing iron grip on programmers Video-Game Giant Halves Minimum Cartridge Order, The Nikkei Weekly (Japan), May 2, 1994, Section: INDUSTRY; Pg. 8 Nintendo stock keeps dropping     Nintendo shares no fun in 1994 - Emiko Terazono on reaction to the gamemaker's revised forecasts, Financial Times (London,England), May 6, 1994, Friday, London; Section: World Stock Markets; Pg. 39, Byline: By EMIKO TERAZONO Nintendo is a top earner     TOYOTA RETURNS AS NO.1 INCOME EARNER IN JAPAN, Jiji Press Ticker Service, MAY 18, 1994, WEDNESDAY,Dateline: TOKYO, MAY 18 Sega profits plunge     Sega Enterprises reports 22.7% pretax profit fall, Japan Economic Newswire, MAY 19, 1994, THURSDAY Sony Computer Entertainment of America formed     https://www.nytimes.com/1994/05/19/business/company-news-sony-starts-a-division-to-sell-game-machines.html?searchResultPosition=1 3DO shares collapse     https://www.nytimes.com/1994/05/21/business/company-news-shares-of-3do-fall-by-another-18.html Nintendo profits plunge... more     Nintendo suffers first profit decline in 10 years,Japan Economic Newswire,MAY 23, 1994, MONDAY     Nintendo reports solid earnings despite strong yen; outlines exciting new software plans for 1994, Business Wire, May 23, 1994, Monday THQ sales collapse     T-HQ announces first-quarter results, Business Wire, May 11, 1994, Wednesday     Absolute Entertainment reports first quarter results, Business Wire, May 10, 1994, Tuesday EA/Broderbund merger collapses     No Headline In Original, Consumer Electronics, May 9, 1994, Section: NOTEBOOK, Vol. 34, No. 19     https://archive.org/details/Electronic-Games-1994-05/page/n21/mode/1up?view=theater     https://www.smoliva.com/2024/08/07/what-the-learning-company-taught-us-about-the-history-of-computer-software/ Davidson & Associates buys Chaos Studios     https://archive.org/details/Electronic-Games-1994-05/page/n17/mode/1up?view=theater      Fox Interactive launches     Twentieth Century Fox establishes new interactive multimedia division; new division to utilize News Corp. resources, Business Wire, May 20, 1994, Friday Fall of Park Place profiled     https://archive.org/details/Electronic-Games-1994-05/page/n9/mode/1up?view=theater Forbes profiles Id     Profits from the underground, Forbes, May 9, 1994,Section: COMPUTERS/COMMUNICATIONS INTERACTIVE MEDIA; Parameters; Commentary; Pg. 176, Byline: BY ANDREW J. KESSLER      AOU lacks premieres     Edge 8, May 1994 pg. 8 Saturn to become an arcade Titan     Edge 8, May 1994 pg. 7       https://segaretro.org/Sega_Titan_Video        Play Meter, May 1994, pg. 16         https://segaretro.org/Batman_Forever_(arcade) Namco consolidates     Play Meter, May 1994, pg. 12 Atari links up with Bally     Edge 8, May 1994 pg. 13 Virtuality goes to Japan     British high-tech game maker to enter Japan, Japan Economic Newswire, MAY 6, 1994, FRIDAY     Https://en.wikipedia.org/wiki/Wakayama_Marina_City#Minor_attractions     Play Meter May 1994, pg. 251 Sony delivers devtools     Edge 8, May 1994 pg. 13 Sega disses Jupiter for Mars     Edge 8, May 1994 pg. 6 DMA signs up with Nintendo     Nintendo and U.K.-based DMA design announce Project Reality agreement; 64-bit home games to debut in fall 1995, Business Wire, May 2, 1994, Monday Nintendo smashes myths     https://archive.org/details/GamePro_Issue_058_May_1994/page/n31/mode/1up?view=theater Howard Lincoln to deliver CES keynote     Playthings May 1994, pg. 22 Laseractive drops price     Pelican Brief,' Pakula Classics Due From Warner, Billboard, May 7, 1994, Section: HOME VIDEO; Laser Scans; Pg. 96, Byline: by Chris McGowan         https://youtu.be/qSdfj5O-N1Q?si=Wx7ZJ_Yvc6MafKSK NEC taps out of 3D race     Edge 8, May 1994 pg. 14 NEC gives PC Engine another lease on life     Edge 8, May 1994 pg. 15 Sigma Designs to bring Jaguar to PC     Sigma To Make Atari Jaguar Titles Run On PC, Newsbytes, May 3, 1994, Tuesday Reinventing the Z-Machine is apparently Rocket Science     Platform battle, Forbes, May 9, 1994, Section: COMPUTERS/COMMUNICATIONS INTERACTIVE MEDIA; Pg. 168, Byline: By Nikhil Hutheesing Silliwood gold rush continues...     Sillywood, Forbes, May 9, 1994, Section: MANAGEMENT/CORPORATE STRATEGIES; Pg. 46, Byline: By Lisa Gubernick and Nikhil Hutheesing     Rocket Science takes off with funding from Sega Enterprises and Bertelsmann Music Group; 10-month-old start up attracts major corporate investors, Business Wire, May 18, 1994, Wednesday Penn & Teller sign up with Absolute     PENN & TELLER, THOSE 'BAD BOYS OF MAGIC,' MAKE THEIR VIDEO GAME DEBUT WITH ABSOLUTE ENTERTAINMENT, Business Wire, May 19, 1994, Thursday      CD-i gets John Cleese     No Headline In Original, Consumer Electronics, May 2, 1994, Section: NOTEBOOK; Vol. 34, No. 18; Pg. 13      Argonaut working on 3D accelerator     Edge 8, May 1994 pg. 19     https://en.wikipedia.org/wiki/ARC_(processor) Sirius introduces 5 ft. 10 pack     CD-ROM publishers unite-users benefit; introductory 5 ft. 10 Pak. flies from shelves, Business Wire, May 3, 1994, Tuesday       https://worldroms.com/5-ft-10-pak-volume-1-details.html Commodore advertises CD32.. in the US?         https://archive.org/details/GamePro_Issue_058_May_1994/page/n10/mode/1up?view=theater Commodore developing RISC CPU     https://archive.org/details/amiga-computing-magazine-073/page/n33/mode/2up      Commodore shows off CD drive at Cebit     Amiga Format 59, pg. 24 C64S launches     https://archive.org/details/64er_1994_05/page/n35/mode/1up         https://www.c64-wiki.de/wiki/C64s CPC emulation comes to PC     Amstrad Action 104, pg. 8        https://cpc-emu.org/news.html Sega Channel to launch in Japan     Sega to provide to provide videogames on cable TV, Report From Japan, May 3, 1994,Section: Business Silicon Graphics founder teams up with Mosaic devs     https://www.nytimes.com/1994/05/07/business/new-venture-in-cyberspace-by-silicon-graphics-founder.html?searchResultPosition=8 Lexis Nexis to get SEC filings     https://www.nytimes.com/1994/05/11/business/company-news-agreement-to-utilize-sec-data.html?searchResultPosition=18 Computer biz to dominate Akihabara     Akihabara shifting to 'computer town' amid recession, Japan Economic Newswire, MAY 4, 1994, WEDNESDAY, Byline: Hisa Miyatake Rewritable carts coming to Blockbuster     Sega and NewLeaf to test video game software delivery system that eliminates retailer stock-outs, Business Wire, May 31, 1994, Tuesday        https://segaretro.org/Game_Factory Copying goes legit in the UK with EDOS     https://commodore.software/downloads?task=download.send&id=15005:commodore-format-issue-44&catid=721   pg. 22          https://blog.amigaguru.com/edos-the-software-on-demand-of-the-80s/        http://amigaguru.com/Games/EDOS_MAGAZINE_1991-1992__ENGLISH.pdf         https://www.computinghistory.org.uk/det/63955/EDOS/     https://find-and-update.company-information.service.gov.uk/company/SC121687/filing-history?page=1      Psytronik keeps the C64 alive     https://commodore.software/downloads?task=download.send&id=15005:commodore-format-issue-44&catid=721  pg. 8        https://www.psytronik.net/ Lieberman picks IDSA over SPA     SENATORS WARN ON GAME RATINGS, Consumer Electronics, May 9, 1994, Section: THIS WEEK'S NEWS, Vol. 34, No. 19 Alpex faces off against Nintendo in court     https://www.nytimes.com/1994/05/16/business/patents-108332.html?searchResultPosition=30     https://itlaw.fandom.com/wiki/Alpex_Computer_v._Nintendo Japanese Copyright change scuttled     https://www.nytimes.com/1994/05/19/business/japan-likely-to-retain-curb-on-software-raiding.html?searchResultPosition=33      Jean-Claude Van Damme to headline Street Fighter movie     https://archive.org/details/GamePro_Issue_058_May_1994/page/n171/mode/1up?view=theater Multimedia-centric horror film captures Zeitgeist     https://www.nytimes.com/1994/05/01/movies/film-taking-the-children-like-your-mom-said-beware-sweet-serial-ads-931985.html?searchResultPosition=4 Virgin to release Music compilation CD      Billboard previews music's digital future     In The Brave New Technological World, Music Uses And Publishing Possibilities Seem Endless, Billboard, May 7, 1994, Section: MUSIC PUBLISHING; Spotlight; Pg. 76, Byline: BY MARILYN A. GILLEN Green Jelly wants to ooze all over multimedia     Green Jelly's Land Of Ooz: Zoo Act Opens Vid Facility, Billboard,May 21, 1994,Section: Pg. 1,Byline: BY DEBORAH RUSSELL   Recommended Links: The History of How We Play: https://thehistoryofhowweplay.wordpress.com/ Gaming Alexandria: https://www.gamingalexandria.com/wp/ They Create Worlds: https://tcwpodcast.podbean.com/ Digital Antiquarian: https://www.filfre.net/ The Arcade Blogger: https://arcadeblogger.com/ Retro Asylum: http://retroasylum.com/category/all-posts/ Retro Game Squad: http://retrogamesquad.libsyn.com/ Playthrough Podcast: https://playthroughpod.com/ Retromags.com: https://www.retromags.com/ Games That Weren't - https://www.gamesthatwerent.com/ Sound Effects by Ethan Johnson of History of How We Play. Copyright Karl Kuras 30 years ago: #Nintendo and #Sega financials disappoint, #Sony gets ready for NextGen & Venture money goes ga-ga over #Silliwood These stories and many more on the VGNRTM! https://www.patreon.com/posts/110575391

Tonight we return to our favorite SEGA Arcade Unit, coincidently named after my Ex! ________________________________________________________________________ Find Us on these platforms: https://twitter.com/_RetroRenegades https://www.facebook.com/profile.php?id=100077718475122 https://podcasters.spotify.com/pod/show/retro-renegades ________________________________________________________________________ Join this channel to get access to perks: https://www.youtube.com/channel/UCcT8wcspekw5tSzbc3qWPCg/join ________________________________________________________________________ Released in 1998 at one-third the price of the Model 3[113] Shared architecture with Dreamcast, but with additional main, graphics and sound memory (32, 16 and 8 megabytes respectively)[114][115] Uses Hitachi SH-4 CPU processor[116] and PowerVR graphics processor[117] Uses ROM boards, with optional GD-ROM compatible CD-ROM drive.[113][118] If a drive is used, it will be used at bootup to copy data to a DIMM RAM board instead.[119] Naomi multiboard can use 3 or 4 boards at the same time depending on the game[120][121][122][123] NAOMI is a backronym for New Arcade Operation Machine Idea.[124] The name NAOMI was reportedly selected by Sega R&D head Hisashi Suzuki in honor of the British model Naomi Campbell.[125] ________________________________________________________________________ Grab a beer, a slice of pizza and come hang out with us. We play the greatest games from yesterday while discussing today's gaming news and reminisce on the past. A no topic, no fuks given eccentric cast. Come hang with us at 7:00PM EST | 6:00PM CST | 5:00PM MST | 4:00PM PST.. ________________________________________________________________________ TRY DUBBY FROM GAMERS TO GYM JUNKIES TO ENTREPRENEURS, OUR PRODUCT IS FOR ANYONE WHO WANTS TO BE BETTER. SAVE 10% WITH THIS LINK. https://www.dubby.gg/discount/Renegade238?ref=NePXKdCFpypc8b ________________________________________________________________________ Listen to RetroRenegades on all major podcast platforms https://anchor.fm/retro-renegades ________________________________________________________________________ Like some merch? https://retro-renegades-shop.fourthwall.com/ https://www.youtube.com/channel/UCcT8wcspekw5tSzbc3qWPCg/store & https://willijay.redbubble.com ________________________________________________________________________ THE RETRO RENEGADES ARE: Graphic God Twitter: @Graphic_God Youtube: https://Youtube.com/GraphicGod​​ Twitch: https://twitch.tv/Graphic_God​​ SUPERSONICSTATION Youtube : https://youtube.com/user/SuperSonicSt... Twitch : https://twitch.tv/supersonicstation​​ STINKINCORPSE Twitter: @stinkincorpse Youtube: https://youtube.com/channel/UChhVxkV0... UK Dazarus Twitter: @UKDazarus Youtube: https://youtube.com/channel/UCud_ef29... Jago Kuken Twitter: @RetroRenegade_ Youtube: https://youtube.com/channel/UCqKT2pP9... CRISPYBOMB Twitter: @Crispybomb EnFin3t Twitter: @EnFiN3t Youtube: https://www.youtube.com/c/RetroRenegades Jeepers VR Twitter: @Jeepers2u Youtube: https://www.youtube.com/channel/UCAHs-KAWDIYYN-cE5F-WiAQ DragonHeartYoby Twitter: @DragonHeartYoby Twitch: https://www.twitch.tv/dragonheartyoby​ Cerebral Paul | Living Differently Youtube: https://www.youtube.com/c/CerebralPaul Twitter: https://twitter.com/CerebralPaul1 DoggyDog420 Twitter: @DoggyDog420Xbox Youtube: https://www.youtube.com/user/Axle1324 Flamish Twitter: @gregorygoyvaert ________________________________________________________________________ Music by: Judzilla Music Title: Sounds of the room Title: Closer To The Stars Find this and more at: https://www.youtube.com/channel/UCKlI... License: Creative Commons Attribution license (reuse allowed) --- Support this podcast: https://podcasters.spotify.com/pod/show/retro-renegades/support

Episode 125 of The Bulletproof Podcast proves you can't have an Actionversary Celebration without Michael Dudikoff!  Join your host, Chris the Brain, and co-host, Chris DePetrillo (aka The Toyman), as they talk the only Michael Dudikoff movie to have its own CD-Rom game, 1995's Soldier Boyz. The signature locks and cool name may be gone, but the leading man charisma is still there as Michael Dudikoff as Major Howard Toliver whips six prisoners into shape and gets them ready for a rescue mission in Vietnam. The guys talk about Major Toliver's questionable selections for his "dirty half dozen", Butts' interesting shooting style, the quality casting of Cary-Hiroyuki Tagawa, what happened to the team when they got back and more!  Learn more about your ad choices. Visit megaphone.fm/adchoices

Original text by David Pogue, Macworld May 1994. Products mentioned in this article: Interplay's “Star Trek: 25th Anniversary” adventure game download, CD-ROM download with voice acting, complete playthrough on YouTube. David Landis' Stak Trek episode guide HyperCard stacks. David Pogue interviewed Mark Okrand, creator of Klingon and other conlangs, for the Unsung Science podcast. Sound Source Interactive's audio clip collection. Bitstream Star Trek Font Packs and AkBKukU on the legality of Bitstream's copying of typefaces. Star Trek Omnipedia CD-ROM and updated edition. A little about Phil Farrand, author of the Nitpicker's Guides and the Finale scorewriting software for the Macintosh. David Pogue/Phil Farrand interface design story from the 2005 Mac OS X Conference.

Tonight we focus on the brilliance or the disaster that was the SEGA CD ________________________________________________________________________ Find Us on these platforms: https://twitter.com/_RetroRenegades https://www.facebook.com/profile.php?id=100077718475122 https://podcasters.spotify.com/pod/show/retro-renegades ________________________________________________________________________ Join this channel to get access to perks: https://www.youtube.com/channel/UCcT8wcspekw5tSzbc3qWPCg/join ________________________________________________________________________ The Sega CD, known as Mega-CD[a] in most regions outside North America and Brazil, is a CD-ROM accessory for the Sega Genesis produced by Sega as part of the fourth generation of video game consoles. It was released on December 12, 1991, in Japan, October 15, 1992, in North America, and April 2, 1993, in Europe. The Sega CD plays CD games and adds hardware functionality such as a faster CPU and graphic enhancements such as sprite scaling and rotation. It can also play audio CDs and CD+G discs. ________________________________________________________________________ Grab a beer, a slice of pizza and come hang out with us. We play the greatest games from yesterday while discussing today's gaming news and reminisce on the past. A no topic, no fuks given eccentric cast. Come hang with us at 7:00PM EST | 6:00PM CST | 5:00PM MST | 4:00PM PST.. ________________________________________________________________________ TRY DUBBY FROM GAMERS TO GYM JUNKIES TO ENTREPRENEURS, OUR PRODUCT IS FOR ANYONE WHO WANTS TO BE BETTER. SAVE 10% WITH THIS LINK. https://www.dubby.gg/discount/Renegade238?ref=NePXKdCFpypc8b ________________________________________________________________________ Listen to RetroRenegades on all major podcast platforms https://anchor.fm/retro-renegades ________________________________________________________________________ Like some merch? https://retro-renegades-shop.fourthwall.com/ https://www.youtube.com/channel/UCcT8wcspekw5tSzbc3qWPCg/store & https://willijay.redbubble.com ________________________________________________________________________ THE RETRO RENEGADES ARE: Graphic God Twitter: @Graphic_God Youtube: https://Youtube.com/GraphicGod​​ Twitch: https://twitch.tv/Graphic_God​​ SUPERSONICSTATION Youtube : https://youtube.com/user/SuperSonicSt... Twitch : https://twitch.tv/supersonicstation​​ STINKINCORPSE Twitter: @stinkincorpse Youtube: https://youtube.com/channel/UChhVxkV0... UK Dazarus Twitter: @UKDazarus Youtube: https://youtube.com/channel/UCud_ef29... Jago Kuken Twitter: @RetroRenegade_ Youtube: https://youtube.com/channel/UCqKT2pP9... CRISPYBOMB Twitter: @Crispybomb EnFin3t Twitter: @EnFiN3t Youtube: https://www.youtube.com/c/RetroRenegades Jeepers VR Twitter: @Jeepers2u Youtube: https://www.youtube.com/channel/UCAHs-KAWDIYYN-cE5F-WiAQ DragonHeartYoby Twitter: @DragonHeartYoby Twitch: https://www.twitch.tv/dragonheartyoby​ Cerebral Paul | Living Differently Youtube: https://www.youtube.com/c/CerebralPaul Twitter: https://twitter.com/CerebralPaul1 DoggyDog420 Twitter: @DoggyDog420Xbox Youtube: https://www.youtube.com/user/Axle1324 ________________________________________________________________________ Music by: Judzilla Music Title: Sounds of the room Title: Closer To The Stars Find this and more at: https://www.youtube.com/channel/UCKlI... License: Creative Commons Attribution license (reuse allowed) --- Support this podcast: https://podcasters.spotify.com/pod/show/retro-renegades/support

This week, we discuss the 5 key trends from Bessemer's State of the Cloud 2024 report. Plus, Matt makes a stock pick for the next 10 years! Runner-up Titles Is it named after Hootie and the Blowfish? Prepaying for your bad behavior You have a thought piece, we're gonna think about it The Footloose Soundtrack Rundown Amazon Hits $2 Trillion Market Value as AI Frenzy Fuels Rally (https://www.bloomberg.com/news/articles/2024-06-26/amazon-amzn-hits-2-trillion-market-value-as-ai-frenzy-fuels-rally) State of the Cloud 2024 (https://www.bvp.com/atlas/state-of-the-cloud-2024) The Real Reason Why Music Is Getting Worse (https://youtu.be/1bZ0OSEViyo?si=F_Yy7c1RYkXh-Iqd) Relevant to your Interests The short, happy reign of CD-ROM (https://www.fastcompany.com/91128052/history-of-cd-roms-encarta-myst) 1Password is simplifying setup on new devices and adding 'Recovery codes' (https://9to5google.com/2024/06/20/1password-recovery-code-sign-in-beta/) Apple is winning in financial services (https://www.axios.com/2024/06/20/apple-winning-finance-bnpl) Anthropic's latest model, Claude 3.5 Sonnet, just released on Amazon Bedrock (https://www.threads.net/@ajassy/post/C8ccbgRiEeY) What it Takes to Be Valued at >10x Rev (https://cloudedjudgement.substack.com/p/clouded-judgement-62124-what-it-takes?utm_source=post-email-title&publication_id=56878&post_id=145617522&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) Microsoft makes Copilot less useful on new Copilot Plus PCs (https://www.theverge.com/2024/6/21/24182979/microsoft-copilot-key-keyboard-shortcut-pwa) Exclusive: Amazon mulls $5 to $10 monthly price tag for unprofitable Alexa service, AI revamp (https://www.reuters.com/technology/amazon-mulls-5-10-monthly-price-tag-unprofitable-alexa-service-ai-revamp-2024-06-21/) Amazon's new AI-powered Alexa might cost up to $10 per month (https://www.theverge.com/2024/6/21/24183013/amazon-alexa-ai-subscription) Is Your Driving Being Secretly Scored? (https://www.nytimes.com/2024/06/09/technology/driver-scores-insurance-data-apps.html) AI Tools Are Secretly Training on Real Images of Children (https://www.wired.com/story/ai-tools-are-secretly-training-on-real-childrens-faces/) Nvidia Is No Cisco, but It Is Getting Expensive (https://www.wsj.com/finance/investing/nvidia-is-no-cisco-but-it-is-getting-expensive-1938fcc0) Microsoft shelves its underwater data center (https://www.tomshardware.com/desktops/servers/microsoft-shelves-its-underwater-data-center) With Pen and Paper in Hand, Car Dealers Improvise as Cyber Outage Persists (https://www.wsj.com/business/autos/with-pen-and-paper-in-hand-car-dealers-improvise-as-cyber-outage-persists-2642ebb7) Nvidia Insiders Cash In on Rally as Share Sales Top $700 Million (https://www.bloomberg.com/news/articles/2024-06-18/nvidia-nvda-insiders-cash-in-on-rally-as-share-sales-top-700-million) We've got to talk about the environment when we talk about AI (https://thehustle.co/news/we-ve-got-to-talk-about-the-environment-when-we-talk-about-ai) Gmail's Gemini AI sidebar and email summaries are rolling out now (https://www.theverge.com/2024/6/24/24185277/google-gmail-gemini-ai-sidebar) Google is bringing Gemini access to teens using their school accounts (https://techcrunch.com/2024/06/24/google-is-bringing-gemini-access-to-teens-using-their-school-accounts/) Managing Your Mac Menu Bar: A Roundup of My Favorite Bartender Alternatives (https://feed.feedburster.com/macstoriesnet/redirect?url=https://www.macstories.net/roundups/managing-your-mac-menu-bar-a-roundup-of-my-favorite-bartender-alternatives/) Report: Amazon developing AI chatbot that would compete with ChatGPT and others (https://www.geekwire.com/2024/report-amazon-developing-ai-chatbot-that-would-compete-with-chatgpt-and-others/) How to escape VMware's pricey clutches with Virt-v2v (https://www.theregister.com/2024/06/21/virtv2v_helps_you_move_vms/) Figma's new Slides app focuses on design, fun, and (oh, yeah!) AI (https://www.fastcompany.com/91145153/figma-slides-presentations-config-2024) Powering the AI Revolution: The PyTorch Documentary (https://pytorch.org/blog/pytorch-documentary/) Polyfill supply chain attack hits 100K+ sites (https://sansec.io/research/polyfill-supply-chain-attack) Some CIOs say getting full value out of AI tools like Copilot for Microsoft 365 requires heavy lifting, as enterprise data isn't always accurate and up-to-date (http://www.techmeme.com/240626/p6#a240626p6) ****## Nonsense Cybertruck: The Embarrassing beginning of Teslas Demise (https://youtu.be/MoYXhcxngxI?si=Rxg48DLqAtyAE-Ck) The Buc-ee's Statue Got A New Look, And Fans Have Thoughts (https://www.southernliving.com/buc-ees-luling-statue-8665734) Delta's most exclusive airport lounge opens. Here's what's inside (https://www.cnbc.com/2024/06/25/delta-one-jfk-airport-lounge.html) Explaining Software Development Methods By Flying to Mars [Comic] (https://toggl.com/blog/mars-software-development) Sponsors Check out www.apilayer.com (https://apilayer.com/?utm_source=SoftwareDefinedTalkPodcast&utm_medium=Leads%20Acquisition&utm_campaign=PodcastDescription)! From scraping, finance to weather data, apilayer offers reliable and easy-to-integrate APIs for all your needs. Trusted by developers at companies worldwide. Use the code SDT2024 for an exclusive discount - 50% for 3 months on 100 API plans. Code is valid until Sep 30, 2024 Conferences DevOpsDays Birmingham (https://devopsdays.org/events/2024-birmingham-al/welcome/), August 19–21, 2024 DevOpsDays Antwerp (https://devopsdays.org/events/2024-antwerp/welcome/), 15th anniversary, Sep 4th-5th. 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It's return guest season here at Latent Space! We last talked to Kanjun in October and Jonathan in May (and December post Databricks acquisition): Imbue and Databricks are back for a rare treat: a double-header interview talking about DBRX from Databricks and Imbue 70B, a new internal LLM that “outperforms GPT-4o” zero-shot on a range of reasoning and coding-related benchmarks and datasets, while using 7x less data than Llama 3 70B.While Imbue, being an agents company rather than a model provider, are not releasing their models today, they are releasing almost everything else: * Cleaned-up and extended versions of 11 of the most popular NLP reasoning benchmarks* An entirely new code-focused reasoning benchmark* A fine-tuned 70B model, built with Meta Llama 3, to identify ambiguity* A new dataset of 450,000 human judgments about ambiguity* Infrastructure scripts for bringing a cluster from bare metal to robust, high performance training* Our cost-aware hyperparameter optimizer, CARBS, which automatically and systematically fine-tunes all hyperparameters to derive optimum performance for models of any sizeAs well as EXTREMELY detailed posts on the infrastructure needs, hyperparameter search, and clean versions of the sorry state of industry standard benchmarks. This means for the FIRST TIME (perhaps since Meta's OPT-175B in 2022?) you have this level of educational detail into the hardware and ML nitty gritty of training extremely large LLMs, and if you are in fact training LLMs of this scale you now have evals, optimizers, scripts, and human data/benchmarks you can use to move the industry forward together with Imbue.We are busy running the sold-out AI Engineer World's Fair today, and so are unable to do our usual quality writeup, however, please enjoy our show notes and the excellent conversation! Thanks also to Kanjun, Ashley, Tom and the rest of team Imbue for setting up this interview behind the scenes.Video podTimestamps* [00:00:00] Introduction and catch up with guests* [00:01:55] Databricks' text to image model release* [00:03:46] Details about the DBRX model* [00:05:26] Imbue's infrastructure, evaluation, and hyperparameter optimizer releases* [00:09:18] Challenges of training foundation models and getting infrastructure to work* [00:12:03] Details of Imbue's cluster setup* [00:18:53] Process of bringing machines online and common failures* [00:22:52] Health checks and monitoring for the cluster* [00:25:06] Typical timelines and team composition for setting up a cluster* [00:27:24] Monitoring GPU utilization and performance* [00:29:39] Open source tools and libraries used* [00:32:33] Reproducibility and portability of cluster setup* [00:35:57] Infrastructure changes needed for different model architectures* [00:40:49] Imbue's focus on text-only models for coding and reasoning* [00:42:26] CARBS hyperparameter tuner and cost-aware optimization* [00:51:01] Emergence and CARBS* [00:53:18] Evaluation datasets and reproducing them with high quality* [00:58:40] Challenges of evaluating on more realistic tasks* [01:06:01] Abstract reasoning benchmarks like ARC* [01:10:13] Long context evaluation and needle-in-a-haystack tasks* [01:13:50] Function calling and tool use evaluation* [01:19:19] Imbue's future plans for coding and reasoning applications* [01:20:14] Databricks' future plans for useful applications and upcoming blog postsTranscriptSWYX [00:00:00]: Welcome to the Latent Space Podcast, another super special edition. Today, we have sort of like a two-header. John Frankel from Mosaic Databricks, or Databricks Mosaic, and Josh Albrecht from MBU. Welcome.JOSH [00:00:12]: Hey, glad to be here.SWYX [00:00:14]: Thank you for having us. Hey, so both of you are kind of past guests. Jonathan, you were actually one of the most popular episodes from last year talking about MPT7B. Remember the days when we trained large models and there was 7B?JONATHAN [00:00:30]: Yeah, back when reproducing LLAMA1-7B was considered a huge accomplishment for the field. Those are the good old days. I miss that.SWYX [00:00:38]: As the things have accelerated a lot. Actually, let's do a quick catch up and Josh, you can chime on in as well. So Databricks got acquired. I talked to you at New York.JONATHAN [00:00:45]: Mosaic got acquired, although sometimes it feels like Mosaic acquired Databricks because, you know, we're having a lot of fun being here. But, you know, yeah.SWYX [00:00:52]: Yeah. I mean, you are chief scientist now of Databricks.JONATHAN [00:00:55]: Chief AI scientist. Careful with the title. As much as I would love to understand how Spark works, I'm going to have to defer that to much smarter people than me.SWYX [00:01:03]: Got it. And I don't know about like what you would highlight so far as a post-acquisition, but the most recent news is that you guys released DBRX. Is that the thing that most people should be aware of?JONATHAN [00:01:13]: Actually, that's no longer the most recent news. Honestly, the most recent news, we announced this, but it was at our Data and AI Summit last week. So it was announced among like 100,000 other things, is that we finally released our text to image model, which has been a year in the making through a collaboration directly with Shutterstock. There was a lot of work put into finding a dataset that we were comfortable with working on and trying to build a model that honestly, I felt like I could trust and that others might be able to trust to put out in the world. So that model was released last week. It's unfortunately just available via API due to the fact that the data is quite sensitive and quite valuable. It's Shutterstock's entire business in a lot of ways, but I'm still really excited that there's now a model that is trained on a dataset where the provenance of every single image is known, and it's a damn good model. So I'm really proud of the team on that.SWYX [00:01:55]: Yeah, amazing. Josh, do you have any thoughts on image model questions?JOSH [00:01:59]: That is not my area of expertise, but I was excited to see the release of it last week as well, and very happy that you guys did a nice job on the data side of everything there. So that was cool to see.SWYX [00:02:09]: I think what's unusual is like, I think Shutterstock's doing multiple deals in multiple labs. So what is the Shutterstock model? Like, I guess, is this the house model for Shutterstock? Is this Databricks' version of the Shutterstock model? Like, what is this?JONATHAN [00:02:22]: The way that I would think about it is that Shutterstock is doing an amazing business in AI across the board. Their dataset is kind of widely known to be the best stock photos dataset in the world, the most comprehensive, the biggest. When you think about like, what dataset am I going to train a multimodal model on? You call Shutterstock. And I, at least I've heard in the news, like OpenAI, Google, Meta, Apple have all called Shutterstock and made those deals. So a lot of models have had Shutterstock data incorporated into them. But this is the only model I know of so far where it was, you know, exclusively and specifically trained just on the vanilla Shutterstock data. There was nothing else mixed in. We didn't go and scrape the web and find other data or combined datasets or anything like that. And so this is, in some sense, the house blend. But the other piece is that it's just a dataset where the provenance of every image is known in public. Where did the data come from? It is the Shutterstock collection. That's it. You know, nothing less, nothing more. And certainly being at Databricks, if I've learned one thing, I've learned about enterprise customers and what they want out of AI. And one of the things they ask for most is just, what can you tell me about the data the model was trained on? And here, especially for text to image models, where images are just tricky subject matter, there's been a lot of kind of legal conversation about images, especially. It's nice to just have something where I can point to it and say, you know, if you want to know where the images came from, these are what they are and this is how they got there.SWYX [00:03:36]: I will talk a little bit about Databricks because it's relevant to the rest of today's episode. So Databricks, sorry, I keep misspeaking. It's DBRX.JONATHAN [00:03:46]: DBRX, actually, there's been a pronunciation update. It is now D-B-Rex. So we have decided to add a dinosaur mascot because what model doesn't like a mascot? So literally, I wish I could pull it up. There is a little plush dinosaur that we had made. It's like the world's cutest dinosaur, but it is the official mascot of D-B-Rex. And there's a little dinosaur logo that, you know, you'll probably see around a little bit more because DBRX is a mouthful, but D-B-Rex, like, you know, it's just kind of...SWYX [00:04:13]: Rolls off the tongue. I love mascots. Like every company should have a mascot. And I think Hugging Face got it right. You need an emoji mascot because that's the minimal viable image.JONATHAN [00:04:21]: I probably shouldn't talk at all about, you know, Velociraptor, but, you know, that's a, maybe that's something we can talk about later in the summer. I'll just leave it at that.SWYX [00:04:28]: Okay. That's a hint to names. I feel like your names leak a lot of alpha. So just to quickly cover the headline details, DBRX, as Make Sure Experts model, that's fairly big, 132 billion total parameters, so 36 billion active on any input, pre-trained on 12 trillion tokens of text and code, and did really well on evals to the point where you had to dye your hair blue. That's my high level conclusion.JONATHAN [00:04:53]: Never make a bet with your team two weeks out from model launch, even when, you know, human eval is looking quite bad. Because if you set some bar, even if it's arbitrary and you think there's no way in hell they're going to hit it, apparently money doesn't motivate people anymore. Humiliating their boss motivates people. So Josh, you should really take a hint from this. You know, you cannot pay someone enough money to make up for you dyeing your hair blue.JOSH [00:05:15]: I'll keep that in mind for our next model.SWYX [00:05:17]: It works. So speaking of Imbue's next model, perhaps Josh, you want to actually just say hi to the general sort of latent space audience and talk about what we're releasing today. Yeah.JOSH [00:05:26]: I'm Josh, CTO of Imbue, and we're not releasing the model. We're not releasing the weights, but we are releasing a bunch of different things that should make it easier for other people to make their own models. So I think right now, training foundation models from scratch is like a very difficult, time-consuming, expensive, kind of risky endeavor, especially for smaller companies. And the things that we're releasing hopefully make that at least a little bit easier. So the things that we're releasing fall into kind of three different buckets. One is infrastructure and scripts for dealing with the kind of hardware and hardware failures and understanding how well is the actually lowest level of thing actually working so that you can actually do your training at all and at a reasonable speed without having to constantly restart, etc. So infrastructure and training scripts. A second set of things is around the evaluation. So after you've trained it, like how well is this actually working and how do you know how well it's working? We're releasing a whole bunch of different data there, a new benchmark about code, reasoning, understanding, as well as our own private versions of 11 different open source benchmarks. So things like pool queue or ANLI, where we've gone through and kind of cleaned up the data as much as possible by looking at all the ones that models get wrong or that are flagged for ambiguity and also our own kind of private reproductions of those where we've done like a kind of clean room black box, like, okay, this is what the data set is supposed to be. Here are some examples. Let's make our own version of this to make sure that there is no data contamination, etc. To make sure that we're actually, you know, not testing on train. And then I think a final thing that we're releasing there is around 450,000 human judgments about ambiguity and question quality, which we used in the process of cleaning these evaluations and we also hope will be helpful for other people training kind of similar models. And then the third thing is CARBS, our hyperparameter, our cost-aware hyperparameter optimizer, which was especially helpful for being able to experiment at much smaller scales and then scale those experiments up to the much larger scale kind of on the first try without having to retry it. You don't want to be training, you know, 10, 20 different 70B models. You really want to get these larger modelsSWYX [00:07:30]: right on the first try.JOSH [00:07:30]: And so the ability to kind of tune things very precisely and learn scaling laws, not just for, you know, the like data and flops, but also for learning rate and all the other hyperparameters and see like how should you scale these things up was extremely valuable to us as we were training the larger models. Yeah, that's a lot of stuff.SWYX [00:07:49]: Yeah, exactly. So there's a bunch of stuffJOSH [00:07:50]: we'll have to go through all of it.JONATHAN [00:07:52]: Yeah, I just want to throw in how excited I am about this. This is the stuff that nobody ever talks about. That is the difference between success and failure in this stuff. Like, can you get your cluster to run? Can you get software on your cluster? Can you figure out what broke? Because fault tolerance is still not really built into any of the fundamental primitives of training models. And so if something breaks, you have to go figure out what broke, your job stops, you have to restart your job. It is a nightmare just to get to the point where anything can train on the cluster. A basic MPI hello world that has the GPUs talk to each other is hard enough, let alone actually training a model, let alone getting good performance out of the GPUs, let alone actually getting a model that converges to anything interesting. There's so many levels of things you have to accomplish. This is the kind of stuff that matters. I think to a point that Josh made earlier, before we got on here, there are plenty of weights out there. Nobody's released this.JOSH [00:08:46]: Yeah, that was part of the motivation actually is that there are lots of other things that are complimentary, but I have not seen nearly as much discussion about some of these other things that we think are pretty important. I mean, in some sense,SWYX [00:08:56]: I'm very excited to have Jonathan on because this is a little bit, you're a bread and butter with Mosaic. And I think you've released some part with Composer. And I think it's just really interesting to see like a different take, basically a full stack take that's kind of open source today.JONATHAN [00:09:18]: Yeah, it's really kind of, it's been an ordeal to figure this out. And every time something changes, whether it's a new GPU or even a new driver update, you get new creative errors and new things go wrong. And, you know, we've dealt with the weirdest things from, you know, our InfiniBand cables getting stolen from the data center twice, like in boxes before they arrived at the data center. Like, you know, Porch Pirate basically had stolen our InfiniBand cables back when those were hard to come by. To like, you know, weird recalls of switches to like the strangest stuff has happened. I have my favorite GPU failures I've seen, like ones where the GPU doesn't fail, it has a correctable memory issue and the memory correction causes the GPU to become a straggler and hold up the whole job. Like weird stuff happens and figuring out how to not just identify all of that, but then eventually productize it, is in some sense, the entire story of Mosaic and now Databricks in terms of our ML offering. Really, the thing we offer is we have gone through this suffering and figured out how to even productize that. It has been a pain in the butt.SWYX [00:10:20]: Yeah, it's a lot of work.JOSH [00:10:20]: I think my favorite failure was GPU is just giving wrong math. Like if they give errors, great, because you can see the errors, but if they just give you the wrong math back, not so fun.SWYX [00:10:30]: When did they give you wrong math?JOSH [00:10:32]: Like literally you could just, you know, add two things. For example, the numbers come back. They're not the numbers that they're supposed to be.JONATHAN [00:10:40]: I think it's important to say at this stage, just because like it, I think it goes without saying for Josh and I, but it's worth saying here, this isn't to say that like anything is wrong with us. It's not like NVIDIA did a bad job or, you know, Mellanox did a bad job or the like the server builder, the data center operator, the cloud provider, like the million other parties that are involved in building this. We are running these insane chips that are huge and complicated and built on tiny transistors at insane frequencies with insane heat in data centers that for the most part, were not built remotely for this kind of power or heat and have been retrofitted for this. Like failures happen on a good day with normal CPUs. And this is not a good day and not a normal CPU for the most part. It's fun to joke about all the weird things we see. This is not to say anybody's done anything wrong. This is just kind of part and parcel of working on a massive cluster running at multiple megawatts of power at a time.SWYX [00:11:32]: It's crazy. Yeah.JONATHAN [00:11:33]: So optical cables, like all sorts, like everything.SWYX [00:11:37]: I'll take the opportunity to start going to the sort of infra piece. There's just like a description of the infra just to give people a sense of what we talk about when we talk about massive clusters. So I'm just going to read off the blog post here. This post is about one cluster that has 4,092 H100 GPUs spread across 511 computers. They use unified fabric manager nodes, which manage the infinite band network. And you talk a little bit about your networking. Is there anything unusual about this setup that you'll call out to people?JOSH [00:12:03]: Yeah, actually this particular cluster is a little bit non-standard. The normal, like vanilla setup for these large clusters as vanilla as it can be is what's normally like a 127 node cluster. So closer to like 1024 GPUs instead of 4,000. Here we have a larger cluster. As you start to get into the larger clusters, the networking becomes a little bit more custom. It's a little bit more, it's a little bit trickier. It's a little bit more difficult to get these things to all be able to talk to each other at the same speed. And so this has, in this particular case, this is a three tier network architecture instead of two tiers, kind of the normal one. So most of the clusters are a little bit smaller. As you get to even larger scales, then this becomes even much more complicated,SWYX [00:12:43]: much more expensive.JOSH [00:12:43]: So we chose this particular scale, kind of knowing our own workloads and kind of what we wanted to do. This was kind of the right size for us. But yeah, I think it's not exactly vanilla already. It's already getting into kind of the custom territory.SWYX [00:12:54]: So my understanding is that there, and is there any part of this that comes with the Voltage Park deal that you guys had? Is that part of the hardware that you got from the deal with them?JOSH [00:13:04]: Yeah, so we worked really closely with Voltage Park to set up all their clusters and infrastructure and everything and kind of decide even like what to order, how should the networking work? Like we were very involved in kind of the construction and bring up of this. And that's what this post is about, is about that process of like bringing up all these, there's like different clusters in different places of different scales. So in this particular post, we're talking about this one 4096 GPU, but there are other clusters that they have as well. And we were very closely involved with figuring out the exact architecture and kind of the trade-offs that go along with picking, you know, those exact components. You really don't want to like place the wrong order because it takes months to get it and it's very expensive. So yeah, we were happy to help out with that.JONATHAN [00:13:43]: And then your bit of good cables get stolen.SWYX [00:13:44]: Yeah, yeah, exactly.JOSH [00:13:47]: We wanted to make sure that we ended up with compute that would work for us and that would also work for their other customers. And so we kind of helped design something so that we would get exactly what we were looking for. We knew that these kinds of details would be super important and that getting down to the level of the hardware and like having these good scripts and everything was going to be a core part of like actually getting this to work. I'm very glad that we did that. I don't think that most companies kind of take that full stack approach, but for us, it certainly paid off.SWYX [00:14:12]: Yeah, it's basically sort of built to spec. It's interesting that relationship because you usually, for the rest of us who don't operate at your scale, we take whatever we can get from cloud providers, but you are basically co-designing from the single machine up. And you described that a little bit. Do you want to take us through the process that you described here?JOSH [00:14:27]: Yeah, so for the actual, like the blog post and kind of bringing these machines online.SWYX [00:14:32]: Yeah.JOSH [00:14:32]: So yeah, I think the process, as we have it broken down in the blog post, there's kind of a few different layers. First is like getting the individual machines to work at all and then getting the machines to actually be able to talk to each other. So getting the InfiniBand networking to work and then getting to a point where, you know, not just the machines are working and they can talk to each other, but everything is actually working correctly. There's a big gap between like it's working at all to it's working perfectly correctly. And then after you have all this stuff working perfectly correctly, nice and healthy, then now you get into kind of the software data, like training issues. And then after that, you're still not done. Like now, even once you're training at full speed, things are going to fail over time. Things are going to change. There's going to be new, you know, firmware updates. Like how do you kind of deal with this change and flux over time without going crazySWYX [00:15:16]: and pulling your hair out,JOSH [00:15:16]: trying to like reproduce things or understand why there were regressions. And so there's a lot of work to kind of automate the infrastructure tooling as well. And kind of the first step, like bringing these things online in the first place, you know, you have hundreds of machines at this point. So you don't necessarily want to be like walking around with like a CD-ROM or a USB drive, like plugging it in with your keyboard, like hitting next, next, next on the OS install. That's not how this works. You do that for one machine. And then you use, we use this thing called Metal as a Service to bring up all the other machines. So it's a kind of server that can kind of install the operating system on these other machines. So most like when you're talking about these machines, like each machine is, you know, on the order of hundreds of thousands of dollars. So they usually come with a kind of out-of-band management interface as well. So they don't, they have their InfiniBand networking. They have their normal 100 gigabit per second Ethernet networking. These are like dual, redundant, et cetera. And then you also have this extra out-of-band management network. So you can log in and you can see like the boot screen or you can see the blue screen of death. You can like get in there and actually see what was wrong, which is pretty fun. And it makes it like possible to automate a lot of this work. So the beginning of that, and the blog post goes into much more detail about like exactly how we set these up and kind of the other errors that we ran into. When you're bringing these online, you'll definitely have failures. Even if they all worked in the factory, they get shipped, some parts come loose, something fails, something goes wrong. So when you're bringing them online, there'll be some that don't quite work for all sorts of reasons. As you start to be working with machines at this scale, like if something happens one in a thousand times, you're like pretty likely to see it. And so you can get pretty rare, weird things, especially since we had fairly early builds and fairly early versions of this hardware. Like these are some of the like first machines that were ever produced, some of the first GPUs. So you've got some extra special things there. We definitely worked with Dell, for example, on making fixes in the firmware level to be like, okay, like this thing is wrong. Like we need to update this at the firmware to like actually fix this particular thing. So we worked pretty closely with Dell and Nvidia. Yeah, that's what I'm saying. Like this stuff gets complicated. And the thing is like, you know, taking a step back, the whole reason we're doing this, right, is that we knew that this was going to be complicated. There would be these kinds of failures. And if we're just using, you know, AWS or some other cloud provider, these errors are still gonna be there and you're gonna have no way to know and no way to debug this and no way to diagnose what's going wrong. And so we would much rather be able to like call up Dell and say, hey, this isn't working. And they're like, yep, okay, cool. Let's debug it together. Oh, I see. Yeah, cool. We'll ship a firmware update and actually fix this for you. That was a much better experience than like, great, just magically fails. I guess we restart and hope that that machine goes away. Like that's not a very good place to be. So yeah, that's kind of the first place is getting to a place where like GPU training is working on your single node machines. You can observe stuff. We have tons of tooling around like, you know, Prometheus and all sorts of other tools for understanding what's going on in these machines because you don't want to be like logging into each one and looking at the temperature or something you really need to have tooling to collect all these metrics, et cetera. Unfortunately, all of the scripts that we have for this are like for this entire cluster and for all this infrastructure are a little bit like special purpose for our particular thing. So it's not that every script that we have, it's not that you can just like take this and plug this in. Even if we did open source all the tooling that we have, you'd still have to do like a lot of work to open source it. What we are releasing is as many of the things that we can that are going to be useful for other people. You're still going to have to have some way of kind of managing these things, making your own like logging aggregators, et cetera, et cetera. So that's kind of bringing them up to the like, you know, the single nodes that are working. From there, it goes into, I'm happy to keep going if you want. Well, I just want to leave the opportunity for JohnSWYX [00:18:53]: to comment if there's anything that's different from how he runs things.JONATHAN [00:18:57]: Oh, I mean, all I'll say is I'll endorse this and say this s**t is hard. Like this is really, really hard. And, you know, I have a special props to, you know, the folks in Vue because they were building this from the ground up. You know, at Databricks and at Mosaic, we typically work with cloud providers because some of this stuff is just, there's too much to handle. It's complicated. There's a lot to deal with. And this doesn't even get into things like physical security, you know, securing power if you're the data center operator. Like this gets infinitely complicated and you have to abstract somewhere. Like, you know, and then you get to the folks who are literally building their own custom chips and like, good God.SWYX [00:19:36]: Like, oh my God, that's, you know,JONATHAN [00:19:38]: if you're one of those folks, you're having, you know, pour one out for the infra people at some of the AI chip startups who are having a really, really interesting time right now. But this stuff is really hard. And I don't think we talk about it much because there's so many other things that are hard. But the other hard things, I think everybody's becoming pretty familiar with at this point. This is something that I don't think there's ever really been a comprehensive discussion of, at least not that I've seen.SWYX [00:20:00]: Yeah, so my impression is that you guys, Mosaic, have your own software for sort of spinning up and down machines, just like Imbue had to build. But Imbue probably, it sounds like Imbue, you guys went fuller stack. I don't know how to describe it. Like Mosaic is not working with Dell on like their firmware.JONATHAN [00:20:21]: No, no, we're typically working with like, you know, pick your cloud provider on their Dell firmware or what have you. Like, it's kind of, I think one of the things, I don't know, Josh, you can correct me on this. It's kind of impossible if you're doing training to not go all the way through the entire stack, regardless of what happens. Like somehow I'm still chatting with cloud providers about power contracts, even though the whole point of dealing with the cloud provider is not to have to think about power contracts. Somehow I'm still asking them about which InfiniBand provider they used this time to see if this is part of the bad batch of cables I encountered on that cloud provider or what have you. Or like, we're still talking about a firmware update from pick your provider. You can't not do this. It's convenient that they have data center staff who are worrying about what to send back to which provider when, and they have people who can go and wait for the InfiniBand cables so they don't get stolen outside. But, you know, it's kind of, it's impossible not to really go full stack if you're thinking about the infrastructure at all. I don't know, Josh, correct me. No, I think that's right.JOSH [00:21:17]: That's what we expected from the beginning as well, is that we would inevitably have to get into the details here. And I'm glad that we kind of just planned for it. I think it made it a lot easier from our perspective to have direct control over this. Instead of having to go to the cloud provider that goes to the data center, that goes to the supplier, we could just go direct to NVIDIA or DellSWYX [00:21:37]: or the data center,JOSH [00:21:37]: whoever was responsible and be like, hey, this thing needs to change. And they're like, oh, okay. Yeah, that is our responsibility. Great, we can fix that. So it was just a lot easier for us to fix these bugs than if we had to go through an extra layer of email.SWYX [00:21:48]: Something we discussed in the pre-show was that you had a rule of thumb for your cluster of reliability. You say here in the post, by and large, you expect around 3% of your machines to break every week. So you're basically going to turn through all your machines in a year.JOSH [00:22:04]: As it says in the post. So that would be true if it was a uniform failure like that. But as it says in the post, it's usually these kind of problematic nodes. And to be clear, that is the number that we've heard from other people is like they're having about 3%. I don't think we're experiencing failure rates that are that high. I think ours is actually quite a bit lower than that, probably because we've taken the time to like dig into a large, maybe larger number than we should have of these failures and get to the root cause of it and be like, oh, okay, like that's exactly what's going wrong.SWYX [00:22:33]: How do we fix this?JOSH [00:22:33]: How do we prevent this from happening? How do we make automated checks for this so that if it does happen, it just goes back to whoever owns that particular part of the process and they can fix it immediately.SWYX [00:22:43]: And that's part of what you're also open sourcing, which is the health checks, right? You got the NIC health checks, GPU health check, this space health check, Docker D message. I don't know what that is.JOSH [00:22:52]: That one is just a lot of stuff.SWYX [00:22:54]: Yeah.JOSH [00:22:55]: That one is one where we realized that actually like when these machines boot, sometimes they wouldn't actually boot cleanly all the way. Or when they rebooted, they had problems that they didn't have when they were working before, which was kind of frustrating. Like usually if you restart your computer,SWYX [00:23:08]: it gets better.JOSH [00:23:08]: Here you restart. It did not get better.SWYX [00:23:10]: It got worse.JOSH [00:23:10]: That was very frustrating. So this health check looks at every particular line we've ever seen from the boot, like in D message, like every single log line that your computer emitsSWYX [00:23:21]: and says like,JOSH [00:23:21]: have we ever seen this before?SWYX [00:23:23]: Is this expected?JOSH [00:23:23]: Is this in the right order? Or is there something out of place? If there's anything out of place, let me say, okay, great. Like now it goes into this, like longer, more triage list of like, all right, great. Like, is this acceptable?SWYX [00:23:33]: Should we flag this?JOSH [00:23:33]: Like, should someone take a look at this? So we're looking down at a very, very granular detail level, what's happening on these computers to make sure that nothing is out of place. And that's critical because without that, if you're running your training, as Jonathan said, and this thing is slow, like what are you supposed to do? Right?SWYX [00:23:49]: Like you really,JOSH [00:23:49]: you really want to be very certain that like all 4,000 of these GPUs are working like they're supposed to.SWYX [00:23:54]: We know that.JOSH [00:23:54]: And so if it's slow, it's because like we messed up the config or something else and not because of this earlier thing that's like really hard to detect in software later.JONATHAN [00:24:01]: Yeah. I think the, I'm just curious to ask,SWYX [00:24:03]: like, you know,JONATHAN [00:24:03]: suppose you were to set up another, let's say another H100 cluster and it were at a different data center. And instead of the vendor being Dell, it was super micro or what have you. How much of this would be repeatable? And how much of this would you have to redo? I, you know, I genuinely don't know.SWYX [00:24:18]: A decent amount.JOSH [00:24:19]: I think it would go a lot faster the second time. I think there's lots of learnings that we had. And also the blog post,SWYX [00:24:24]: you know, yes,JOSH [00:24:24]: we are releasing the health checks, releasing some scripts, but a lot of the valuable stuff is also in the blog post itself, in the details and kind of the, you know, the learnings that we've had and the sort of errors that we run into. We tried to as much as possible surface those to other peopleSWYX [00:24:36]: could learn from thoseJOSH [00:24:36]: and avoid the same mistakes or failures as well. But I think it would go a lot faster.SWYX [00:24:41]: Although, yes,JOSH [00:24:41]: there would certainly be some things that'd be a little bit different. I mean, there'd probably be different CPUsSWYX [00:24:46]: or whatever,JOSH [00:24:46]: but I think a lot of that stuff is less,SWYX [00:24:49]: it's less,JOSH [00:24:49]: that's the like, that's less variable. I think most of it would apply the second time around. Although I'm sure next timeSWYX [00:24:56]: we're building one,JOSH [00:24:56]: it'll probably be, you know, at a scale that's 10x as big with a different chip or something like this.SWYX [00:25:00]: And then who knows?JOSH [00:25:01]: Yeah, with Kinect X8,JONATHAN [00:25:02]: that will have its own fun behavior and all that good stuff. Yeah.SWYX [00:25:06]: Perhaps there's something that people don't discuss about, and you don't even talk about this in the blog, but I always wonder is what is the timeline that's like kind of reasonable for this amount of work, at least the initial stages? And also what does the team composition look like for setting up a cluster, right? Like what are the mix of skills that you typically would require to get all this going?JOSH [00:25:27]: I'm, I can't really speak to typical. One thing I am very proud of is how much we accomplished with such a ridiculously small team. Like our infrastructure team is like, you know, fluctuates from week to week, depending on like how many things are on fire and how much we need to build. But it's like between like three and six people, like it's small. It's not like some huge team of like tons and tons of engineers. But those people are very, very good at what they do. And so that has allowed us to get a lot of mileage out of out of these things. I think it's not that we're building everything, right? It's not that three to six people build this whole thing. I definitely want to like, you know, say thanks very much to Dell and H5 and NVIDIA and the other people that have done a lot of the work, like to bring up this cluster, you know, with 4000 GPUs and three tier networking, networking architecture, you have 12,000 cables. So that's 24,000 things that need to be plugged in. Like that's just a lot of stuff to plug in, right? And you don't want to mess it up. Like each one needs to be done correctly. Like it's a little bit loose. Like it doesn't really work.SWYX [00:26:23]: If you break it,JOSH [00:26:23]: you need to replace it. Like there's a lot of workSWYX [00:26:26]: that goes into this.JOSH [00:26:27]: Yeah.SWYX [00:26:28]: And then, you know,JOSH [00:26:28]: that's just like that's it. That's if you were to do everything right the first time.SWYX [00:26:32]: And if you didn'tJOSH [00:26:32]: have to fix anything. But inevitably, you know, you will have to replace something, which means like taking all the wires out, pulling the thing out, taking all the GPUs out, going and fixing some cable, putting it all back correctly, putting it back in, doing this every time. So there were a lot of people at Dell, NVIDIA and at H5 that all helped a ton with this stuff. I don't know the exact size of the Dell team. It also fluctuated over time.SWYX [00:26:55]: Yeah, excellent. And then, you know, you so you have all the hardware set up and now you're firing it up for a single node. There's a long description that you guys have about just like monitoring the MFU, right? And what each situation might look might be indicative of. One of the most interesting things to me that I saw from here is like, you know, if training immediately starts off at 60 to 80% MFU, something's wrong.SWYX [00:27:24]: But like, you know, like what what are like, you know, some anecdotes or, you know, notable scenarios here that you might you might call out as maybe counterintuitive or super interesting.JOSH [00:27:36]: There's just so many of them. I mean, one of them, which I think is probably pretty common, like common knowledge by this point. But like we did have a sort of likeSWYX [00:27:46]: which one was this exactly?JOSH [00:27:47]: I think for the MFU, like gradually getting worse over time. I think that one, when we saw that the first time we were like, what the heck is going on? Like, why does it get just like a little bit worse? This is so strange. Like, what is it getting lazy or tired or something? Like, is it heat? Like what's going on? And in this particular case, it was memory fragmentation. Because you have hundreds of machines, they're doing garbage collection slightly different times. And then they get slightly further apart and slightly more and more jittered until eventually they're all happening kind of at random times. And just like really messing up each one of your steps. So you just turn off garbage collection and call it a day, basically,SWYX [00:28:20]: to be honest.JOSH [00:28:20]: There's other things you can do if you want to be a little bit more sophisticated about it. But you can also just manuallyJONATHAN [00:28:25]: have it all garbage collect on some interval. Like that's what we've done. We just have a garbage collection callback that just runs. But I've seen the exact same thing.JOSH [00:28:33]: Yeah, yeah, exactly. So I thought that one was kind of funny. And we did trace that one down and look and we did find the actual call. Like, again, this goes to like having good tools. So we had really good tools where we could look at a bunch of like actual traces in C and be like, OK, cool. This is the thing that's taking a lot of time. Or like, you know, this is the thing that doesn't quite line up here. Like, oh, I guess it's garbage collection. OK, cool.SWYX [00:28:52]: Interesting.JOSH [00:28:52]: Yeah, let's just try taking it off.SWYX [00:28:54]: OK, great.JOSH [00:28:54]: That's what it was. Now we can fix it. So for each of them, like basically bugs are not hard if you have good tools. But if you don't have good tools, bugs can be very, very hard. So similarly for like heat, another thing that we saw was like, oh, you know, the CPU is getting throttled. OK, well, it's easy to see if you're monitoring the CPU throttling or monitoring the heat. If you're not monitoring that, it's really hard to know why it's just suddenly one of them is going slower. I noticed also in the pieceSWYX [00:29:17]: that you mentioned FSDP with 0.3. Actually, we met, I went to iClear and Guanhua from the DSP team was there presenting 0++. I was wondering if you want to make any call outs to, you know, particular open source or open library or open whatever implementation teams that were super helpful in your process. I think we ended up actuallyJOSH [00:29:39]: pulling from a whole bunch of different ones to pull things in into our own particular pipeline. So we use things from NVIDIA's, you know, Megatron stuff. We use stuff from probably DeepSpeed. I think we pulled in a bunch of different pieces from a bunch of different places. So it was really nice to see all these working open source like examples. I think I really appreciate all the effort that has gone into actually tuning these things because you can tune them, but it's a lot of work to like tune this stuff and do all this stuff from scratch. It's really nice to have like a working example. I think those are probably the two biggest ones, DeepSpeed and Megatron alone, but there are probably other ones as well.SWYX [00:30:13]: Is there a particular thing in the ecosystem where you would call out as like, you know, there should be something here that is open source, but like it's not really, it's like everyone kind of builds it on their own. I want to say something with the file system because everyone talks about the file system eventually.JOSH [00:30:28]: The file system actually was,SWYX [00:30:30]: I mean, we did somethingJOSH [00:30:31]: kind of dumb there. Like we have our own sort of local mirror so that we can, you know, like a crappy version of S3SWYX [00:30:38]: that's local,JOSH [00:30:38]: but it's just a pretty simple script, right?SWYX [00:30:41]: Like I think we run likeJOSH [00:30:41]: a little web server that just like serves files and then, you know, it can upload themSWYX [00:30:45]: and download them.JOSH [00:30:45]: Okay, great. And part of the reason we did that is that our internet connectionSWYX [00:30:50]: in the beginningJOSH [00:30:50]: was not the like full speedSWYX [00:30:52]: one that we wouldJOSH [00:30:52]: eventually have. And so we are a little bit more kind of bottlenecked in terms of internet bandwidth. And so we had this. I think we looked at a bunch of services out there like Minio and some other ones, but a lot of these like come with a lot of extra overhead and maintenance. And since we already have so much infrastructureSWYX [00:31:09]: to deal with,JOSH [00:31:09]: we kind of didn't want to, you know, bring in a whole other like cloud provider, virtualize something, something.SWYX [00:31:14]: We just wanted something simple.JOSH [00:31:14]: So we went with that, which has been quite helpful. Like our toolsSWYX [00:31:19]: are usually quite simple.JOSH [00:31:19]: It's like Bash and Python and SSH and Docker. Like we'd like to keep things simple so that's easier to debug, like less layers of infrastructure, less layers of abstraction, make it a lot easier to work with. Like we don't use Kubernetes,SWYX [00:31:30]: for example,JOSH [00:31:30]: and we just directly launch these things. And it's just been much easier to debug this way. One tool actually that does come into mind that I will call out is Kraken from Uber. That was great. We love that tool. We were a little bit skeptical. What is it?SWYX [00:31:44]: I'm sorry. Yeah.JOSH [00:31:45]: So Kraken is this, yeah, it's a distributed like Docker registry, basically, that uses BitTorrent to like transfer things between the machines in a sort of nice optimal way. Like in the very beginning, the naive way is like you have this one Docker registry, which was outside of the cluster. So every time we change an image, you know, there's many gigabytes that each of the 500 machines needs to download.SWYX [00:32:07]: So that just takesJOSH [00:32:07]: a really long time. So what this thing does is like just one of them downloads it and then like they all sort of broadcast all the pieces to each other. And it was just like a really nice, fast way of getting these images down. And it was very robust.SWYX [00:32:19]: Like there's a lotJOSH [00:32:19]: going on under the hood, but I think it's a pretty cool tool that we haven't really had any bugs with it at all. Amazing.SWYX [00:32:26]: Yeah. I mean, that's all my questions, I guess, for the info piece. I don't know if, John, you had something that you were sort of burning to ask or.JONATHAN [00:32:33]: No, all I can say is just sameSWYX [00:32:36]: in a lot of places, like, you know, and they're done thatJONATHAN [00:32:38]: seeing this plus one. I think the one big difference, you know, perhaps in philosophies is we've tried to basically standardize on as much commodity stuff as possible, just because, you know, I think the reason I asked about trying to do thisSWYX [00:32:50]: on multiple differentJONATHAN [00:32:50]: pieces of infrastructure is like, I think we're running on like six or seven different clouds right now. And everybody has done something slightly different. And my gosh, the little differences add up as you know, you've seen. And so, you know,SWYX [00:33:04]: our philosophy has been like, whatever the hellJONATHAN [00:33:05]: we can standardize, please let's standardize it. Like vanilla off the shelf FSDB.SWYX [00:33:10]: And like, you know,JONATHAN [00:33:10]: we wrote our own data loader, but we've tried to make that as much of a standard as we can across our infrastructure and in Databricks, because things just start getting really complicatedSWYX [00:33:18]: or like we useJONATHAN [00:33:18]: Kubernetes extensively because it at least gives us a uniform set of APIs. Like that's our hardware abstraction layer to a certain extent for everything else. So it's just, you know, a difference in philosophy there. But otherwise, like, yeah, this stuff is really, really hard. And I feel like we take for granted how much of this, you know, is done for us when you go and you just query chat GPT, for example. Like, oh my God, everything going on underneath that, you know, it's kind of a miracle that the machines boot up, let alone that you can like query a giant language model that's probably doing inference across multiple machines and was trained across thousands of machines. Like, you know, minor miracle.SWYX [00:33:54]: Yeah, it is an awesome amount of power that we invoke with a single API call that we take for granted these days. It's absurd. Yeah, I mean, like Kubernetes, like that point about Kubernetes, I will say as a former AWS employee, like it seems like it would be ideal for imbue to at some point make it more abstracted or agnostic because you're going to want to, you know, replicate your setup. We do have our ownJOSH [00:34:19]: sort of replacement. It's just a much simpler version of Kubernetes. Kubernetes is really designed for running services, not for running experiments. Like that's not its like main architecture. And so for us, like we have everything that's like, cool, you're going to run an experiment. So you want it to run to completion, right?SWYX [00:34:34]: OK, great.JOSH [00:34:34]: Like the primitives are sort of built around a slightly different style. And that makes it a lot easier, like just a lot simpler to fit that the nature of like these machines are going to disappear. They will need to be rebooted for infrastructure upgrades. They will like something will happen to the GPUs. Failure is like baked into this as like a core part of our infrastructure. So it's not that we don't have an abstraction. It's that it's a sort of simpler, more tailored abstraction for the particular work that we're doing.JONATHAN [00:34:58]: Yeah, I think it all depends on what your goals are. And like, I think the challenge in a lot of the deep learning stuff right now is that people are trying to like, people often build things that are more complicated than necessary to get the job done. And the complication is the enemy of everything. You know, don't use a fancier parallelism strategy than you have to. Don't use a fancier set of libraries than you have to.SWYX [00:35:18]: Don't do anythingJONATHAN [00:35:18]: that you don't have to do because it's hard enough as it is. Like, don't overcomplicateSWYX [00:35:23]: your own life.JONATHAN [00:35:23]: Don't try to bring in more tools or more fancy architecture tweaks if you absolutely don't have to.SWYX [00:35:29]: Like getting to the minimumJONATHAN [00:35:30]: necessary to get the job done. And it's really tempting to want to try to use everything. So like, I totally understand that one.SWYX [00:35:37]: I think the last piece I'll maybe call out is that I'm just going to weave this in just because I see the opportunity to do it. Are there any infrastructure shifts that need to be, that need to rise because of changing architecture? So I think, for example,SWYX [00:35:57]: you're announcing a dense model, a 70B dense model, whereas John just worked on DBRX and the image-to-text model, which presumably has different bottlenecks.JONATHAN [00:36:10]: That's correct for us. You know, we train both dense and mixture of expert models. The one we happened to, you know, kind of get permission to open source was a mixture of expert model. And those models are very demanding when it comes to network bandwidth, at least if you're training them in kind of FSTP 03 style, where there's just a lot of parameters getting shuffled back and forth. And your ratio of kind of compute to amount of data that you have to shuffle back and forth becomes a lot worse because you're now, you know, you're only using a fraction of the parameters for every token instead of all the parameters. And so we had to really push the envelope on getting all the stuff to the right places on time. And so actually the networking part of DBRX was the single hardest thing, I think, of the entire process. Just get MOE training, working at scale across a big cluster. We still managed to, I think, do it all with commodity parts, which was very exciting. You know, we were using FSTP and we eventually used HSTP so that we could have HSTP as a version of FSTP where you have multiple smaller replicas and you're doing data parallel within those replicas. And that helped a lot with network latency issues that we were running into just because we were transmitting so much data, you know, for every single part of the process. I think it actually, like, it was instructive for how Google designs their hardware and software together personally. Their training, as far as I understand, using kind of a 03 style of training and have been for a while. They also train mixture of expert models. TPUs have a very different network bandwidth to compute ratio. They have a lot more bandwidth just objectively. And TPUs per chip tend to be a little bit less compute intensive and have a little bit less memory. You know, it's just a different design choice. So the ratio of flops to bandwidth is very different. And that means that it's much easier for Google to be able to pull offSWYX [00:37:54]: some of this stuff.JONATHAN [00:37:54]: They also have interesting, you know, Torus style network architecture or Torus style, like, literal network architectureSWYX [00:38:00]: is not like the model,JONATHAN [00:38:00]: but the network.SWYX [00:38:02]: Is this the sort of block attention? I forgot what you call it. So this is just more or the,JONATHAN [00:38:07]: yeah, this is more, not the ring attention, but these are the ring all reduces. Like you have three different dimensions of rings because they kind of put you in these three dimensional Toruses from what I understand. And so like, you know, Google's infrastructure in some sense is kind of, I wouldn't say built for this, but maybe the way that Google trains models is built for a slightly different bit of infrastructure they have. And it's kind of neat to think about that. You know, as one thing that I think NVIDIA announced for, you know, for, for both the GH200 and the GB200 is this hybrid networking where you'll have blocks of NVLink network chips. I think for the GB200, I think it's like groups of 72 GPUs will all have NVLink to each other. So higher bandwidth, then you'll have normal networking of some kind, InfiniBand or Rocky or what have you between these blocks. And that's kind of a, you know, it's a change due to the fact that, you know, it's hard to build really high bandwidth networks over very large groups, but it is now a blocked networking. And you have to think about how you architect your model and your parallelism differently. You also have to think about fault tolerance differently because it now matters where you lose a GPU, whereas it didn't before. So, you know, it's, it's, it's just all really interesting and really fun speaking personally, but it's going to mean new nightmares when we all move to that generation and have to think about, you know, new versions of these problems.JOSH [00:39:20]: As you go up to larger scales, it gets quite different. Like right now, you know, if you're experiencing, let's say, for example, you experience a GPU failure every day, that's fine.SWYX [00:39:31]: Just restart.JOSH [00:39:31]: If you make your thing 24 times as big, now it's once an hour. Now it stops being quite as easy to just restart, right? So now you have to kind of break, like bake in this sort of redundancy that you didn't have before. So I think as you go up in scale, you end up running into like a lot of really interesting problems that also inform the, the actual like design. Yeah, I mean, as an orchestration guy,SWYX [00:39:52]: this is why I always emphasize like very cheap storage or very fast storage. So you can checkpoint more, but I don't think that's probably not the best solution to for fast, you know, training.JONATHAN [00:40:05]: Which works fine when you're doing language and then you move to vision or video. And then, you know, you have multi petabyte datasetsSWYX [00:40:12]: and getting, you know,JONATHAN [00:40:13]: cheap, fast multi petabyte storage starts to bite. Like I've certainly encountered issues where the literal data center where my GPUs were did not have enough, you know, object store to fit the datasets that people wanted to bring into that data center from whichever users were, were trying to bring them in. And then you get to a wholeSWYX [00:40:31]: different world of hurtJONATHAN [00:40:31]: where you have to keep your data in a different region because the region is just out of storage. So things get fun really fast.SWYX [00:40:39]: Speaking of vision, Josh, actually, you know, Embu is an agents company, but you're only, you're announcing a text-only model. What, where does, where does the vision side come in?JOSH [00:40:49]: I think we've actually done a lot of work in the past and people can see kind of our blog posts about sort of self-supervised learning and some other kind of vision-related stuff in the past as well. So we're very familiar with, with that stuff. But I think our main focus right now is on kind of, as we say, coding and reasoning. And there, there's certainly a visual component to some problems. But, you know, it's not necessarily required for all problems. And actually we found that for most of the kind of like code writing and, and reasoning problems that we care about, the visual part isn't really a huge important part of it. Sometimes if you really need to, you can maybe describeSWYX [00:41:24]: the thing.JOSH [00:41:24]: There are other like, you know, multimodal models that you can use off the shelf to sort of plug in for those particular piecesSWYX [00:41:30]: that you need, right?JOSH [00:41:30]: Like if something is driving a browser or whatever, like you can sometimes get away with not having to have that baked into the original model. So our folk were, you know, in a sense, we kind of do a lot across the stack. We're working on our own infrastructure and pre-training and RL and fine tuning and products and everything. But in another sense, we're very narrowly focused on the application side. So all of the stuff across the stack is kind of going toward a very particular purpose. And so that particular purpose right now doesn't really need vision. So we think that people are going to make all sorts of really cool image modelsSWYX [00:42:00]: like Jonathan, right?JOSH [00:42:00]: And all sorts of interesting multimodal models into the future. We'll let them go do that. That's great. We'll take advantage of that, partner with those people in the future. And right now we're really focused on kind of the core reasoning and coding capabilities and aspects of the model.SWYX [00:42:14]: I wanted to go into carbs since that's kind of the next layer of the stack. We talked about carbs in the first episode with Kanjin because you've actually had a blog post about it like a couple of years ago. Maybe let's introduce it.JONATHAN [00:42:26]: Has that been a couple of years now?JOSH [00:42:28]: No, it must have been at least one year. Hopefully it's not multiple years.SWYX [00:42:32]: Sorry, I'm counting AI time. Yeah, yeah. Yeah, I was going to sayJONATHAN [00:42:35]: you're making me feel really old right now.SWYX [00:42:39]: I count everything before the generally intelligent rename as like, you know, prehistory. Yeah. And now sort of modernity, right? So I actually thought carbs was more about hyperparameter optimization in a sense of like sort of parameters, hyperparameter search. Whereas, you know, when you introduced it, especially in this blog post, it's more about scaling laws and predictability of like, are we sort of in the right ballpark before we scale things up? Maybe sort of recount the history of carbs.JOSH [00:43:10]: Yeah, so it really is a little bit of both. So carbs is, it's maybe a backronym, but it's for cost aware Pareto region Bayesian search. So this is about technically how it works, but carbs is like, you know, we like pastries and stuff.SWYX [00:43:26]: So great, why not? But the point is thatJOSH [00:43:29]: it's a cost aware hyperparameter tuner. So most hyperparameter tuners, you kind of say, OK, here's this objective function. I want you to make this number as big as possible or as small as possible, whichever direction you want to go. So yeah, just go make this number, you know, as small as possible. OK, so it'll try a bunch of differentSWYX [00:43:46]: hyperparameters,JOSH [00:43:46]: a bunch of different configurationsSWYX [00:43:48]: to figure out, like,JOSH [00:43:48]: how do I tweak your network and architecture, et cetera, to get the kind of best performance I possibly can. That's usually saying, like, you know, almost all of these hyperparameter configurations are, let's say they're all going to use the same number of GPUs or the same number of nodes.SWYX [00:44:01]: So it's going to runJOSH [00:44:01]: for the same amount of time.SWYX [00:44:03]: So you can do that.JOSH [00:44:03]: You can get a number out and that's great. But what carbs does is it says,SWYX [00:44:07]: OK, actually,JOSH [00:44:07]: what if we relax that constraint? What if we say each of these different points, we're going to model how expensive it will be to sample this configuration. So if what if we train with just one one hundredth of the data? Like, how well can we do?SWYX [00:44:19]: What if we trainJOSH [00:44:19]: with one tenth of the data? What if we train with all the data? That way you can understand, like, as we get more and more data, as we spend more and more compute,SWYX [00:44:26]: as we make a biggerJOSH [00:44:26]: and bigger network, how does performance change with these things that change? Like how expensive it is to even explore this data point. So by doing that, we can see the scaling laws for not just, you know,SWYX [00:44:36]: the scaling lawsJOSH [00:44:36]: from like the, you know, Chantilla paper, the scaling laws for all parameters. We can see how does how does the number of layers change with this? How does the, you know, the learning rate change? How do the like, you know, various types of regularization change? So you can see these nice scaling laws. And as you're going across costs, like how should this be changing as you're scaling up your model? So that, coupled with the kind of metric that we chose, which is a very precise way of measuring performance, allowed us to really like hone in on parameters that worked really wellSWYX [00:45:05]: and understand, like,JOSH [00:45:05]: how do we want to scale those up, especially as we're changingSWYX [00:45:08]: things about the network?JOSH [00:45:08]: Like one of the things that we did is we used a custom tokenizer. As we change this tokenizer, changes a bunch of other things about the model. So how should we scale up this entirely new tokenizer? Like no one has ever made a model this large with this tokenizer before. And so how do we want toSWYX [00:45:22]: change all these things?JOSH [00:45:22]: Harps kind of shows you, like, look, as you change these parameters, like these other ones are kind of dependent on this.SWYX [00:45:28]: Like this is the, these areJOSH [00:45:28]: the relationships between them. So you can better understand, like, OK, if I'm going to scale this up 10x or 100x, like, where do I want to be? I can only go so far. And so, you know, we did run, like, I think maybe it was like a 14b one or somethingSWYX [00:45:40]: like that to check.JOSH [00:45:41]: But and so we had a bunch of like 1b or 14b and then at 70b. I don't think we had a, I think we just did like one at 14b. So you can, we get to check that like, oh, is this on the curve? Like, is this where we expect? It was like right there. So then great, go on to the next one. Yeah, I mean, that makes a lot of sense.SWYX [00:45:56]: I wonder if, so one of the key questions, and correct me if I'm wrong, but like usually people do search or do their evals just based on loss. But you actually evaluate based on, you know, the sort of end state evals that people might expect, like HellaSwag and Lombata, whatever. What is the norm here? Is there a norm?JOSH [00:46:20]: Yeah, I don't know if there's a hundred percent.SWYX [00:46:21]: I don't know. I only see loss on most people's reports.JOSH [00:46:25]: I think it's easy to, like, loss is very nice because it's very precise. It will tell you, like, very fine grained differences between like really small changes in your hyperparameters or network architecture. Whereas, especially at the smaller scales, if you're looking at like accuracy, it's very noisy. Like it might be zero or a hundred or like, you know, fluctuating by like 10 or 20 percentage points, which makes it really hard to tell, like, did that change actually mean anything? So our loss is sort of a combination of these two. Instead of saying, like, let's just look at perplexity, we say, let's look at perplexity on the tasks that we care about for multiple choice questions effectively.SWYX [00:47:00]: So we're saying like, yes,JOSH [00:47:00]: this is formulated as a multiple choice question, and we're going to look at the, like, you know, the loss of perplexity for this particular answer token. And that ends up being something that's like both targeted to what you actually care about and also very precise. The nice thing about this though is that it's independent of the data that you train on. One thing that's annoying about perplexity or about loss is that as you change your data set, this is really obnoxious because now it fundamentally changes your loss, right? And so you can't tell, like, how do I tweak my data set? But because we have this held out evaluation dat

It's June, so that means it's time for the AIPT Movies podcast's “Junesis” series! Where we cover movies based on/revolving around video games! In this week's episode, Alex, Tim, and Matt are joined by artist and friend Chrissy Kurpeski to discuss Edward Furlong's unfortunate run-in with a fictional video game, 1994's Brainscan!A fantastic concept with mixed results! Excessive milk drinking! A lovable musical motif that works no matter how often it's overused! A very non-slashery slasher with a script from the guy who wrote Se7en! Potentially the most oddly “romantic” portrayal of voyeurism since Body Double! An entertaining cast that includes Edward Furlong being himself, a charmingly-sleepy Frank Langella, and T. Ryder Smith as the confusingly-likable gothic punk harbinger of digital doom, The Trickster! A 90s time capsule that examines the demonization of media, the growing obsession with video games, and the early stages of the internet! A movie that's not only a great double feature pairing with 1986's Trick or Treat, but also seems to suggest that violent video games are merely an escape from the true horrors of being a teenager! In addition, Alex shares his spoiler-free thoughts on the newest entry in one of his favorite movie series, Bad Boys: Ride or Die!You can find AIPT Movies on Apple Podcasts, Spotify, or wherever you get your podcasts. As always, if you enjoy the podcast, be sure to leave us a positive rating, subscribe to the show, and tell your friends!The AIPT Movies podcast brings you the latest in movie news, reviews, and more! Hosted by supposed “industry vets,” Alex Harris, Tim Gardiner, and Matt Paul, the show gives you a peek behind the scenes from three filmmakers with oddly nonexistent filmographies. You can find Alex on Instagram and Twitter @ActionHarris. Matt is a terrific artist that you can find on Instagram @no_wheres_ville. Tim can't be found on social media because he doesn't exist. Chrissy Kurpeski can be found on Instagram @absolutelyicebox. If you have any questions or suggestions for the AIPT Movies crew, they can be reached at aiptmoviespod@gmail.com, or you can find them on Twitter @AIPTmoviesPod.Theme song is “We Got it Goin On” by Cobra Man.

Founded at the dawn of the dot-com era, entrepreneur Adam Miller's original concept for Cornerstone was a kind of Netflix for adult education: training courses through CD-ROMs. Migrating to online offerings for major corporate clients, Adam steered the company through tough times that included an encounter with a loan shark, markets collapsing, and global crises. By the time he sold the company two decades later – for more than $5.2 billion – Adam learned essential lessons about how to scale during uncertainty.Read a transcript of this episode: https://mastersofscale.comSubscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on the Erotic Thriller Club we dive into a 0% on Rotten Tomatoes classic! Heather Graham plays a doe eyed, naive flatlander who falls for an English mountain climber who can only be described as if Ben Stiller played an emo sex wizard with a dark past. Bondage! CD Roms! Fish torture! Booby pictures! BIG DUMB WTF TWIST!

Old West lawman Conny Miller visits the grave of a man who he failed to track down to prove he was never afraid of him, but he gets more than he bargained for.To download, right-click here and then click SaveJoin the Journey Into Patreon to get extra episodes and personal addresses, plus other extras and rewards.The Twilight Zone was a nationally syndicated radio drama series featuring radio play adaptations of the classic television series produced for the BBC Radio 4 Extra from 2002 to 2012.  Many of the stories are based on Rod Serling's scripts from the original Twilight Zone series, and are slightly expanded and updated to reflect contemporary technology and trends (e.g., the mention of "cell phones" and "CD-ROMs.". In addition to adapting all of the original episodes aired on the 1959-1964 TV series, the radio series has also adapted some Twilight Zone TV scripts which were never produced, scripts from other Serling TV productions, and new stories written especially for the radio series.Theme music: Liberator by Man In SpaceTo comment on this or any episode:Send comments and/or recordings to journeyintopodcat@gmail.comTweet us us TwitterPost a comment on Facebook here

Popster, singer-songwriter, moeder van een zoon in de terrible two's en uitstekend tafelgenoot Eefje de Visser kwam langs in de show! Meer dan een uur hebben we het gehad over opvoeden (Anne gaat een nieuwe strategie hanteren), muziek (Alex had zijn OOR-vragen mee), opruimtrucs (we leren van Eefjes moeder), vierstemmig babyshark zingen en waarom Eefje de Visser zonder de CD-ROM van Forrest Gump misschien wel niet Eefje de Visser was geweest. Kijk en luister hier naar de nieuwe 'Uit het oog' van Eefje de Visser: https://www.youtube.com/watch?v=QgwTcwjAlbkVeel plezier!Alex, Anne, Hanneke en Taylor SwolleSponsor: MS FondsHet Nationaal MS Fonds gelooft dat we met elkaar MS kunnen stoppen, voor de volgende generatie. Jij kan helpen MS te stoppen. Geef tijdens de MS Collecteweek van 27 mei tot en met 1 juni, of doneer via www.nationaalmsfonds.nl/doneren.Zie het privacybeleid op https://art19.com/privacy en de privacyverklaring van Californië op https://art19.com/privacy#do-not-sell-my-info.

This week I'm joined by ⁠Kelsey Dionne to talk about stacky-pully, CD-ROM character builders, and one of the best books of GM advice ever written. This Podcast was made possible by Patreon supporters at ⁠⁠⁠www.patreon.com/bastionland⁠⁠⁠ As always you can find out more about Bastionland at ⁠⁠⁠www.bastionland.com⁠⁠⁠ Music Attribution: Dragon and Toast by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0/

I always wondered how someone would get into the video game writing business. Today's guest is screenwriter/game development guru Robert Denton Bryant and he answers that question and so much more.Robert Denton Bryant has worked in Hollywood in marketing and production, and in video games as a publisher and a developer. He has been Executive Producer on dozens of games on platforms ranging from CD-ROMs to the iPad, including the bestselling World Championship Poker and Pinball Hall of Fame console franchises.He is the co-author (with Charles P. Schultz) of Game Testing: All in One and (with Keith Giglio) Slay the Dragon: Writing Great Video Games.Writing for the multibillion-dollar video-game industry is unlike writing for any other medium. Slay the Dragon will help you understand the challenges and offer creative solutions to writing for a medium where the audience not only demands a great story but to be a driving force within it. Aimed at traditional writers who want to learn interactive narrative as well as game creators who want to tell better, more emotionally involving stories, the book is written by two creative veterans of both Hollywood and "Nerdyhood." Through lively discussions and self-paced-exercises, Bryant and Giglio step you such topics as the:"No-act" structure of video gamesWriting great game charactersMaking gameplay emotionally meaningfulBringing your game world aliveI can't tell you what an amazing episode this is. Robert takes me down the rabbit hole of writing for video games, the business, how to break in as a writer, and a ton more. Who says you can't write for both video games and the big screen.Enjoy my conversation with Robert Denton Bryant.Become a supporter of this podcast: https://www.spreaker.com/podcast/indie-film-hustle-a-filmmaking-podcast--2664729/support.

Michaela downloads the latest in high tech CD-ROM interactive horror, Brainscan (1994), in which Edward Furlong gets immersed into a virtual murder simulator emceed by a big-hair Freddy Krueger wannabe named The Trickster. Listen as we discover our mail demon's secret Hollywood history, normalize mutual window peeping flirtations, and realize (with horror) that sometimes we agree with movie authority figures, all on this week's exciting episode! Hosted on Acast. See acast.com/privacy for more information.

We chat with industry legend Sheri Graner Ray, tracing her journey from her early days at Origin Systems, where she shaped the fantastical realms of Ultima, to her pioneering role at Her Interactive in creating the first-ever CD-ROM titles aimed at females, along with the challenges that entailed. Beyond her technical achievements, we delve into her passionate advocacy for gender inclusivity within gaming, inspiring women both as players and industry professionals. Contents: 00:00 - The Week's Retro News Stories 32:30 - Sheri Graner Ray Interview Please visit our amazing sponsors and help to support the show: Take your business to the next level today and enjoy 3 months of Shopify for £1/month: https://shopify.co.uk/retrohour Bitmap Books https://www.bitmapbooks.com/ Thanks to our latest Patreon backers, in the Hall of Fame this week: Rodney Underkoffler, Andreas Wanda, Tiago Epifanio, James Randall We need your help to ensure the future of the podcast, if you'd like to help us with running costs, equipment and hosting, please consider supporting us on Patreon: https://theretrohour.com/support/ https://www.patreon.com/retrohour Get your Retro Hour merchandise: https://bit.ly/33OWBKd Join our Discord channel: https://discord.gg/GQw8qp8 Website: http://theretrohour.com Facebook: https://www.facebook.com/theretrohour/ Twitter: https://twitter.com/retrohouruk Instagram: https://www.instagram.com/retrohouruk/ Twitch: https://www.twitch.tv/theretrohour Show notes: Archer Maclean's Atari Arcade Experiments Preserved: https://tinyurl.com/ywwe29wj New Saturn-Style Parking Garage Racer Looks Ridiculously Fun: https://tinyurl.com/39yr9v9y Mirror Your PC Screen to a CRT with MiSTerCast: https://tinyurl.com/3vruhrhm Duck Hunt Gets an Enhanced Remake for the Amiga: https://tinyurl.com/4hwczef6 Atari Returns to the Arcade with Its Recharged Series: https://tinyurl.com/2cpfctn8

Actor and comedian Zach Woods feels “pick me” about being Conan O'Brien's friend. Zach sits down with Conan to discuss why being smart is overrated, his new stop-motion animated series In The Know, getting hooked on jazz from an old CD-ROM game, and unintentional overshares. Plus, Conan takes on his own team in an arm-wrestling contest. For Conan videos, tour dates and more visit TeamCoco.com.Got a question for Conan? Call our voicemail: (669) 587-2847.

Jurandir Filho, Felipe Mesquita, Evandro de Freitas e Bruno Carvalho conversam sobre os seus videogames favoritos da SEGA. A jornada da empresa é uma das mais fascinantes pelo mundo dos videogames, repleta de inovação, competição e uma legião de fãs apaixonados. Desde os seus primórdios como fabricante de máquinas de fliperama até se tornar uma das principais concorrentes no mercado de consoles, a SEGA deixou uma marca indelével na indústria do entretenimento eletrônico. Na década de 1980 que a empresa começou a ganhar destaque no mundo dos videogames com o lançamento do SEGA SG-1000, seu primeiro console doméstico. Este foi seguido pelo SG-1000 II e pelo Mark III, que posteriormente seria relançado internacionalmente como o SEGA Master System e seu lendário "Alex Kidd in Miracle World". Foi com o lançamento do Mega Drive (ou Genesis, como era conhecido nos Estados Unidos) em 1988 que a SEGA realmente ganhou notoriedade. O console apresentava gráficos avançados para a época e um catálogo de jogos que incluía títulos icônicos como "Sonic the Hedgehog", "Streets of Rage" e "Golden Axe", além das expansões 32X e Sega CD. A rivalidade entre o Mega Drive e o SNES da Nintendo definiu uma era de intensa competição no mercado de consoles. A SEGA continuou a inovar com o lançamento do SEGA Saturn em 1994, um console que introduziu gráficos 3D e CD-ROMs. No entanto, apesar de sua tecnologia avançada, o Saturn enfrentou dificuldades para competir com o sucesso estrondoso do PlayStation. Em 1999, a SEGA lançou o Dreamcast, um console que foi aclamado pela crítica por sua tecnologia inovadora, como o modem embutido para jogos online e uma unidade de disco óptico GD-ROM. O Dreamcast também trouxe uma série de jogos marcantes, como "Shenmue", "Jet Set Radio" e "Crazy Taxi". No entanto, problemas de marketing, pirataria e a concorrência feroz da Sony e da Nintendo levaram ao fim prematuro da produção de consoles pela SEGA e a desistência da empresa no mercado de consoles e focando exclusivamente em jogos. Qual o melhor console da SEGA? Vamos escolher! || LINKS COMENTADOS NO PROGRAMA- [LINK] CONSOLE R36s! COMPRE TAMBÉM! 70% DE DESCONTO!- [VÍDEO] Jogos do SG-1000- [IMG] Caixa do Master System- [IMG] Foto do Master System 3 / Caixa / Versão Azul- [IMG] Caixinhas azuis do jogos do Master- [IMG] Arte padrão dos jogos do Master- [IMG] Foto do Super Irmãos- [IMG] Propaganda do Master Club- [IMG] Foto da carteira do SEGA Club- [IMG] Caixa do Mega Drive- [IMG] Caixa do Mega Drive 3 que vinha com Sonic 2- [IMG] Capinhas de jogos do Mega Drive / Mais Capas- [IMG] A fitas dos jogos do Mega Drive eram lindas- [IMG] Capas americanas dos jogos do Mega Drive- [IMG] Jogos do Saturn- [IMG] Tudo que tinha na caixa do Dreamcast- [IMG] Carta que o Juras recebeu da SEGA em 1999 || PODCASTS SOBRE OS CONSOLES- 99Vidas 40 – Master System- 99Vidas 75 – Mega Drive- 99Vidas 97 – SEGA Saturn- 99vidas 119 – Dreamcast

Welcome to Dev Game Club, where this week we continue our series on rotoscoped games by hopping aboard The Last Express, the graphic adventure from Jordan Mechner and Smoking Car Productions of 1997 via publisher Broderbund. Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Sections played: To Vienna (Tim) and past Epernay (Brett) Issues covered: our history with the game, playing the game on the iPad, the adventure game at the time, budget and sales, some history of the game, the edutainment industry, critical response, how many discs, cost of goods, the history of Epernay, generic settings vs the highly specific dates in the game, the overwhelm, jumping onto a moving train, photo research, pulling the brake, what to do with a dead body, trial and error, the various ways things can play out from just the first puzzle, rain in Europe in 1914, a digression into multiple speed CD-ROMs, getting into rotoscoping, a 3D modeled train with rotoscoped characters on top, chasing after a character in the hall, walk-boxes with Z values, the screen door effect, a linear game in space vs an open-ended game in time, synchronicity, the sense of a train trip, prioritizing animation vs input, mechanics-forward vs simulation-forward, what players care about and what they see. Games, people, and influences mentioned or discussed: Jordan Mechner, Broderbund, GoldenEye 007, Diablo, Castlevania: Symphony of the Night, Fallout, Curse of Monkey Island, Riven, MYST, Jonathan Ackley, Larry Ahern, Quake, SW: Jedi Knight: DF2, Outlaws, LucasArts, Turok, Shadow Warrior, Hexen II, Duke Nuke'em, Postal, Age of Empires, Final Fantasy VII, Wing Commander: Prophecy, Xwing vs TIE Fighter, Colony Wars, Interstate '76, Mario Kart 64, Diddy Kong Racing, Grand Theft Auto, Gran Turismo, OddWorld, Sam and Max Hit the Road, Bethesda Game Studios, Bill Tiller, Day of the Tentacle, Sierra, Phantasmagoria, Gabriel Knight: Sins of the Father, Zoetrope Studios, Francis Ford Coppola, Smoking Car Productions, Tomi Pierce, Doug Carlston, Chris Remo, The Learning Company, Another World, Prince of Persia, Baldur's Gate, Final Fantasy VII, PlayStation, Sony, Daron Stinnett, Scream (series), Grim Fandango, Quadrilateral Cowboy, Blendo Games, Thirty Flights of Loving, Agatha Christie, Murder on the Orient Express, Paul Verhoeven, RoboCop, Basic Instinct, Starship Troopers, Elle, Hitchhiker's Guide to the Galaxy, Skyrim, Ron Gilbert, Waking Life, A Scanner Darkly, Deadline, Infocom, Zork, Ben Sarason, Arkham Asylum, Red Dead Redemption (series), RockStar, Tomb Raider (series), Brandon Fernandez, Core Design, Mario (series), Uncharted (series), Kirk Hamilton, Aaron Evers, Mark Garcia.  Next time: Finish the game (?)/ Explore further Errata and Extra: The lead animator on CMI was Mark Overney (!), and it was my mistake, I was thinking it had been Charlie Ramos Blendo Games is Brendon Chung Paul Verhoeven is Dutch, and he did direct Basic Instinct Links: The Last Express: Revisiting An Unsung Classic Twitch: brettdouville or timlongojr, instagram:timlongojr, Twitter: @devgameclub Discord DevGameClub@gmail.com

“I think Vegas is the place where you also go to bury your mistakes and make new ones…” - Chris  On this week's episode, we welcome back our Dead Meat buds, James A. Janisse and Chelsea Rebecca, to talk about the completely entertaining, direct-to-video horror sequel, Leprechaun 3! How amazingly does the Leprechaun fit right in when he gets to Las Vegas? How hysterically naive is this Scott fella when playing in the casino? Why does the Big Boss at this casino have his big, fancy, Boss Suite… on the third floor? And why does it take the Leprechaun so long to kill that pawn shop owner? PLUS: Where can we get a copy of this amazing folklore encyclopedia CD-ROM? Leprechaun 3 stars Warwick Davis, John Gatins, Lee Armstrong, John DeMita, Michael Callan, Marcelo Tubert, and Caroline Williams as Loretta; directed by Brian Trenchard-Smith. Be sure to catch us on tour this spring, gang! We'll be hitting Atlanta, Houston and Austin and we wanna see you come out! Head over to our tour page and get them tix! In Atlanta we're talking about Gerard Butler in Gamer, Houston is a W❤️M on Robocop 2, and in Austin we're doing another W❤️M celebrating the great Robert Rodriguez movie, From Dusk Till Dawn! Make the WHM Merch Store your one-stop shop for all your We Hate Movies merch-related needs! Including new Time Runner, Polish Decoy, ‘Jack Kirby', and Forrest the Universal Soldier designs!