Podcasts about FPS

We went to this year's Hotwife  Palooza in Tucson! And the event itself was amazing! Great staff, friendly attendees, well organized. Yet we found ourselves questioning, from a purely personal perspective, if we belonged in that environment. Listen to find out what we mean! Get bonus content and support the show at https://patreon.com/frontporchswingers Start your peptide journey with your free consultation call at https://revitaglowmeds.com Try Shivers gummies and get 15% off! Use code FPS at https://shivers.store Try Kasidie FREE for a month! Click on the Kasidie banner at https://frontporchswingers.com  

Call of Duty | Wardogs | Modern Warfare 4 | Summer Game Fest More FPS News #podcast #gaming #fps Welcome to "The Scope," your ultimate FPS gaming podcast! Join us for the latest news, trends, and updates in the world of First Person Shooters. Whether you're a seasoned player or just starting out, our passionate hosts cover everything from new releases to gaming strategies. Dive into the action-packed universe of FPS games with us!Buffnerd GamingChannel: https://www.youtube.com/channel/UCUv67t-1w4i5NJhG3T1vtmgTwitter: https://twitter.com/BuffNerdGaming1BlueTheRobot: Channel: https://www.youtube.com/c/BlueTheRobotTwitter: https://twitter.com/bluetherobotCrash:Discord: https://discord.gg/4HZxRx3MkFTwitch: https://www.twitch.tv/crash8 Twitter: https://twitter.com/fps_crashPodcast: https://redcircle.com/shows/the-scope

Head to https://buyraycon.com/friendsOPEN to get up to 15% off Raycon audio products this holiday season. Thanks to Raycon for sponsoring FPS! -- Timestamps: 00:00 Intro / Housekeeping 07:50 Sony State of Play 34:14 Raycon (ad) 35:50 Interview with God of War: Laufey Director Ariel Lawrence 1:04:41 Summer Game Fest Showcase 1:37:17 Interview with That's No Moon, CCO Taylor Kurosaki and Game Director Jacob Minkoff 2:13:04 Xbox Showcase 2:29:05 Wrap Up -- If you wanna check out our newsletter, you can do so here: https://friendspersecond.substack.com/ Listen to the Friends Per Second Podcast on your favourite podcast platform: https://linktr.ee/friendspersecond Follow on Instagram: https://www.instagram.com/friendspersecond -- Let's meet our hosts! - Jake Baldino (aka the Before You Buy Guy) is pretty much the most watched reviewer on YouTube across both Gameranx and his personal channel (https://www.youtube.com/c/JakeBaldino). If you're obsessed with Delorians, The Mummy and Pizza you can discuss that stuff with him directly over on Twitter: @JakeBaldino - Lucy James is a Senior Producer at Gamespot. She's actually, like, experienced and credentialed and has real life skills and stuff, while the rest of the gang would be funemployed if the YT algorithm didn't kiss them for random, inexplicable reasons. - Skill Up used to work at McDonalds but he got fired for skimming too many chicken nuggets. He says he regrets it since he hasn't had a better job since. Learn more about your ad choices. Visit megaphone.fm/adchoices

Hoppas du löst din biljett till Juntan Express, för här kommer utrop om sista påstigning på detta tåg 283 mot Vår Bästa Skärmtid. Längs med rutten kommer du kunna höra om ett smärre hav av spelpepp i efterdyningarna av årets Summer Games Fest. Häxor, nyskapat 8-bitarsäventyr och en riktigt stor fisk är några av sevärdheterna. Tåget tuffar sedan vidare genom spelveckan som varit, där Anton omedvetet tagit steget in i en kontrovers via FPS-skjutaren High on Life 2 och Angelica skjuter tipshagel när hon bland annat testat livet på Lantmäteriet. Elisabeth däremot har ägnat sig åt 100% förströelse när hon sorterat 6000 böcker i ett magiskt bibliotek. Under resans gång får du väldigt gärna fylla i vår lyssnarenkät: https://forms.gle/TufncbsyxivxEcyc7 Välkommen ombord, dags för avgång. Spel som nämns i avsnittet: God of War: Laufey, Marvel's Wolverine, Final Fantasy VII: Revelation, Resident Evil Veronica, Gears of War: E-Day, Control Resonance, Gen Atlas, Stranger Than Heaven, Yakuza, Cuphead 2, Mighty Cuphead Adventure, State of Decay 3, Shark Dentist, Octodad, Crossfire, Guild Wars 3, World of Warcraft, 1666 Amsterdam, Assassin's Creed, Persona 6, Design and Conjure, Unpacking, Urban Jungle, Lazy River, Crazy Taxi: World Tour, Halo: Campaign Evolved, Fable, Wo Long 2: Winds of Ember, Valor Mortis, Minecraft Dungeons 2, Onimusha: Way of the Sword, Phantom Blade 0, Silent Hill Townfall, Dune Awakening, Grand Theft Auto VI, About Fishing, Dreadmoor, Red Kiss, High on Life 1 & 2, The Archives of Trevosa, The Roottrees Are Dead, Chants of Sennaar, Beware of the Cartographer, Inkblood, The Case of the Golden Idol, Librarian: Tidy Up the Arcane Library Tidskoder:(00:45) Personliga frågan (04:31) Spelnyheter (35:55) Reklam (36:55) Spelintryck

Is getting into the lifestyler a motivator for people to work on their health and fitness? We share our personal and anecdotal experiences. Plus, why is nobody talking about the fact that visceral fat increases men's risk of ED related issues by four times?? Get 15% off the amazing pleasure enhancing gummies you're hearing all about! Use code FPS at https://shivers.store Schedule your free consultation call with us today to discuss peptides, weight loss meds and more! https://revitaglowmeds.com Join us for an upcoming event: https://members.frontporchswingers.com Try Kasidie FREE for a whole month! Click on the Kasidie banner at https://frontporchswingers.com Join us for bonus episodes of FPS right from our living room! https://patreon.com/frontporchswingers  

Cette semaine, on commence par explorer les profondeurs d'une lune étrange dans Luna Abyss. Jeu indépendant à l'ambition dingue, le titre du studio britannique Kwalee réussit le tour de force de mélanger FPS, bullet hell et plateformes tout en restant accessible, presque bienveillant. On continue avec le gros morceau du moment, le retour du plus célèbre des agents secrets dans 007 First Light. Le studio de l'agent 47, IO Interactive, s'en sort avec les honneurs en proposant un James Bond digne de ce nom mais l'aspect purement ludique ne fait pas l'unanimité. On termine avec de la cartographie dans Map Map. Mettre des croix sur des cartes vides en usant de son sens de l'orientation et des outils à sa disposition, c'est loin d'être évident mais c'est un système de jeu qui fonctionne parfaitement.Jérémie Kletzkine, dans sa chronique jeux de société, nous parle de Frosted Blooms.Chapitres :0:00 Intro3:49 Les news (State of Play)33:21 Le com des coms35:53 Luna Abyss53:39 La chronique jeux de société : Frosted Blooms59:15 007 First Light1:58:47 La minute culturelle2:05:43 Map Map2:21:43 Et quand vous ne jouez pas, vous faites quoi ?Retrouvez toutes les chroniques de jérémie dans le podcast dédié Silence on Joue ! La chronique jeux de société (Lien RSS).Pour commenter cette émission, donner votre avis ou simplement discuter avec notre communauté, connectez-vous au serveur Discord de Silence on joue!Retrouvez Silence on Joue sur Twitch : https://www.twitch.tv/silenceonjoueSoutenez Silence on joue en vous abonnant à Libération avec notre offre spéciale à 6€ par mois : https://offre.liberation.fr/soj/Silence on joue ! c'est l'émission hebdo de jeux vidéo de Libération. Avec Erwan Cario et ses chroniqueurs Patrick Hellio, Julie Le Baron et Marius Chapuis.CRÉDITSSilence on joue ! est un podcast de Libération animé par Erwan Cario. Cet épisode a été enregistré le 4 juin 2026 sur Discord. Réalisation : Erwan Cario. Générique : Marc Quatrociocchi. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Email your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠questions to the podcast here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Nintendo Switch 2's future is looking packed with surprises, long-awaited returns, and major third-party support. In this episode of Nintendo Pow Block⁠, ⁠⁠⁠Edward Varnell⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Corey Dirrig⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ are joined by special guest and returning cofounder Jesse Douglas to discuss a big week of Nintendo news from PlayStation's recent State of Play, including Rayman Legends Retold targeting 4K and 60 FPS on Switch 2, the return of Rayman Origins in an enhanced edition, and the official confirmation of No Rest for the Wicked for Nintendo's next-generation console. They also discuss the newly revealed Tomb Raider: Legacy of Atlantis, a huge Toy Story anniversary collection, rumors surrounding Super Yooka-Laylee Kart, the latest Star Fox multiplayer footage, Dragon Quest's 40th anniversary announcements, Call of Duty: Modern Warfare 4 coming to Switch 2, and new game rating leaks that could point to major Summer Game Fest surprises.This and more on Nintendo Pow Block! Join our Communities:Join the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Boss Rush Network Community Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Join the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Boss Rush Network Facebook Group⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Follow Nintendo Pow Block on Social Media: Nintendo Pow Block Podcast: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Threads⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitch.TV⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow the Boss Rush Network: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Threads⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitch.TV⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow our Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Edward Varnell⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Cofounder of Boss Rush Media and host of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Nintendo Pow Block⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Corey Dirrig⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Cofounder and CEO of Boss Rush Media and host of the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Boss Rush Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Nintendo Pow Block⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Xbox Casuals⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tower Casuals: The Destiny Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Threads⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support Boss Rush Network:Support Boss Rush on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and buy merch on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Store.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Boss Rush on YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and visit our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website at BossRush.net⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for more great content.Thanks for Your Continued Support!Thank you for supporting Nintendo Pow Block! If you're listening on podcast platforms, leave us a five-star rating and a review. If you're watching on YouTube, subscribe, like, comment, and hit the bell so you never miss an episode. Your support means the world—see you next time on Nintendo Pow Block!

If we've heard it once, we've heard it a million times: "Cliques in the lifestyle are a problem!" Is that the case? As two self-proclaimed non-joiners, we dissect the world of cliques in the lifestyle, when they can be of value, and when they become downright toxic. Plus, what's the most common form of gatekeeping in the hotwife lifestyle? Try Shivers gummies and get 15% off today with code FPS at https://shivers.store Get all access to Kasidie FREE for a month! Click on the Kasidie banner at http://frontporchswingers.com Join us for an upcoming event: https://members.frontporchswingers.com Schedule your FREE consultation call with us today at https://revitaglowmeds.com  

We're announcing AIEWF speakers this week! Take the AI Engineering Survey!Today's guest Ethan first joined us for the LS Paper Club as the lead on NVIDIA Cosmos World Model, but then joined xAI and built Grok Imagine in 3 months:He comes back on Latent Space with some nuclear hot takes: that Video Models primarily get their intelligence from LLMs, not from training on video data, and that the next frontier for truly interactive, realtime, long-horizon world models is to work on LLMs (perhaps Interaction Models as well…)Put it this way: In the near term, the next Sora won't be a better video model, but a video agent.Generative Media may more closely follow the evolution of AI coding which went from focusing on one-shot output performance and cost, to multiturn reasoning and planning models for agents and systems that can plan, edit, test, debug, and submit PRs.At a certain point, coding models got so good that the only significant next step to improve performance was handling the orchestration of these models.Now as the performance of video models increases significantly across realism, consistency, & prompt adherence while becoming more cost efficient, the next evolution of video generation may also be systems that can plan, generate, edit, critique, and iterate across an entire creative task. In this episode, Ethan joins swyx and Vibhu to unpack what it actually takes to build frontier image and video systems: data, VAEs, diffusion transformers, audio-video alignment, inference speedups, and the hidden cost of storing and moving massive video datasets. From building NVIDIA's Cosmos world model to joining xAI as Grok Imagine was being built from zero to one, Ethan He has been at the center of some of the most important work in video generation, multimodal models, and real-time world models.We go deep on Grok Imagine, how a small xAI team shipped its first multimodal video model in three months, why iteration speed matters more than almost anything in model development, and why many of the biggest gains come from fixing tiny bugs in data and training pipelines. Flipbook: The future of VideomaxxingVideo agents are almost a sure bet to be the trend in the coming year. We end with a glance at what's beyond video agents:Flipbook caused a minor sensation this year when it was released, but most treat it as a fun demo. Ethan takes it very seriously — with the speed and cost of inference coming down every year, the future of custom video JIT UI is closer than you think. We talked about why videogen models may become the front end of AI, how generative UI could replace traditional HTML/CSS, why world models need to be real-time, interactive, and long-horizon, and why the future of video generation may depend more on language models and agents than on diffusion alone.We discuss:* Why fast iteration mattered more than meetings* Why small training bugs can drive huge model quality gains* Why coding models may make compute the bottleneck again* How image and video models are trained with synthetic captions* The role of VAEs and latent space in frontier video models* Why image models are the foundation for video models* The tradeoff between temporal compression and real-time interactivity* Flipbook, Neural OS, and the future of generative UI* Why future interfaces may go from user intent to pixels* The hidden cost of training video models: storage, egress, and GPU hours* How step distillation and consistency models (like OpenAI sCM) makes video inference orders of magnitude faster* Grok Imagine 0.9 and large-scale audio-video generation* Why audio-video alignment is harder than text-video alignment* Ethan's definition of world models* Reference-to-video, video extension, and long-context video generation* Why xAI's research communication undersells Grok Imagine* How xAI culture shaped the speed of development* AI watermarking, SynthID, and detecting generated media* Why prompt rewriting matters for video models* Grok Imagine Agent and the rise of video agents* Why language models may unlock better video generation* Robotics, physical AI, and embodied world models* Why Ethan left xAI and shifted focus toward LLMs* Self-managed context, memory, and the next frontier for language modelsEthan He* LinkedIn: https://www.linkedin.com/in/ethanhe42* X: https://x.com/EthanHe_42Timestamps00:00:00 Introduction00:01:25 From NVIDIA Cosmos to xAI00:03:24 Building Grok Imagine from Zero to One00:10:07 How Image and Video Models Are Trained00:18:53 Video Compression, VAEs, and Real-Time Tradeoffs00:22:10 Generative UI, Flipbook, and Neural OS00:32:10 The Cost of Training Large Video Models00:37:04 Distillation, GANs, and Fast Video Inference00:41:21 Audio-Video Generation and Grok Imagine 0.900:48:34 What Makes a World Model?00:55:51 Reference Videos, Long Context, and Video Memory01:00:11 xAI Culture, Research, and First-Principles Building01:09:45 AI Safety, Watermarking, and Prompt Rewriting01:13:10 Video Agents and AI-Assisted Creation01:27:32 Why Language Models Unlock Better Video01:31:15 Robotics, Physical AI, and Embodied World Models01:32:38 Why Ethan Left xAI01:34:16 Self-Managed Context and the Future of LLMs01:38:43 Ethan's Career Path and Closing ThoughtsTranscriptIntroduction: Ethan He, Latent Space, and the Path to xAISwyx [00:00:00]: We're here in the studio with Ethan He, most recently of xAI. Welcome.Ethan [00:00:10]: Thank you. Glad being here.Swyx [00:00:11]: We're also here with Vibhu. you were first coming to us or joining the latent space world because you were working on Kosmos at NVIDIA, and you did a paper. We loved it. you presented it as well, so thank you for doing that.Ethan [00:00:23]: I've actually, I also presented the MoEs twice at latent space.Swyx [00:00:29]: How did you actually hear about us? Did we reach out to you? Is that how it worked?Ethan [00:00:33]: No, actually, I-- the community. Like I realized, oh, there is this online community that people talk about AI and also learn from each other through papers every week through the Paperclip. It's very nice.Ethan [00:00:49]: I learned a lot.Swyx [00:00:49]: I think three years stop. We haven't stopped even on Christmas and New Years. many weeks I want to stop but it keeps going.Vibhu [00:00:58]: No, that was good. I think you had posted that you worked on a paper, and I was “Oh, very cool. We have Paperclip. Present then.”Vibhu [00:01:04]: But I might have reached out to you after.Swyx [00:01:05]: you-- because it's an amateur club, right?Swyx [00:01:08]: so it's very unusual and but we have sometimes paper authors come by and actually explain the paper. Today we just did, the poolside paper, which was apparently very good.Vibhu [00:01:18]: Came out yesterday.Vibhu [00:01:19]: pretty interesting, right? Fully open. They talk about everything, systems. So it's a good one. We'll, we'll recommend people to read it.Swyx [00:01:25]: Bring us up to speed on your transition to xAI, ‘cause I actually don't even know when you joined. just like tell the, tell the story about the sort of transition.From NVIDIA Cosmos to xAI: Scaling Video and World ModelsEthan [00:01:34]: Before xAI, I was working on Kosmos world model as in-- at NVIDIA. So Kosmos is, it's a giant video foundation models that can-- that aims to simulate the world and for-- it serves as a foundation of-- for all of the roboticists to build on top of. There, once I built the Kosmos one, I realized as this thing also has a scaling law similar to language model, we need to scale up the video models further. that's, that's why I realized I need to move to somewhere with much more compute resources. That's how ISwyx [00:02:13]: Than NVIDIA?Vibhu [00:02:14]: The GPU rich came themselves.Vibhu [00:02:19]: And timeline-wise, when was Kosmo? It was pretty early, right? It was open world model, open paper, everything.Ethan [00:02:25]: It was end of twenty-four.Vibhu [00:02:28]: End of twenty-four.Ethan [00:02:30]: Then at mid twenty-five, I moved to xAI. At that time-- I joined about the time when xAI was about to build video models and in multi-model models. There were no infra, no data, and no model, and it just-- as a few engineers, we built it in three months and released the first model, Grok Imagine zero point nine.Ethan [00:02:55]: And since then, I keep working on video models and move more from training and to post-training of the video models. For example, like a reference to videos, kind of like the cameo feature and, video extensions. And, before I left, I worked on a world model, leading a small team to focus on the real-time long horizon video generation.Building Grok Imagine From Scratch in Three MonthsSwyx [00:03:24]: Can you give like a rough roadmap of okay, you're on a brand-new team. Grok previously was only text, or they partnered with BFL for their image gen stuff. What do you-- what are the building blocks, right? You have compute, data you can procure somewhere. Like just what are like the sequence of things that people should think about when you're setting up a new team?Vibhu [00:03:43]: actually even deeper, not just data you can procure. You guys had to go through getting the data too, right? So you shipped it pretty fast, but yeahSwyx [00:03:51]: three months is likeVibhu [00:03:52]: From everythingSwyx [00:03:52]: actually like very surprisingly fast.Ethan [00:03:55]: One thing I say like thanks to my experience at NVIDIA, ‘cause first time when we were building Kosmos together, we built it, for about a year. So this is like the second time I do it. Roughly have an idea, what to do. I say the most important thing is the talent. Everyone were very strong and clever, very close with each other towards a common goal. So that speed up things a lot. So you reduce the communication bandwidth among people, and everyone can work towards the same goal. It's, it's like every day there's not that much meetings on the calendar, like maybe like a, like a sync a day, and after that it's, it's just all building. It was pretty fun at that time.Ethan [00:04:47]: And another thing is that xAI has very strong foundations of like data inference, model inference, and the supporting there can help the model develop a lot. When I look at, training models, I don't so actually the top important thing is like how many, how many iterations can you do, per day? and the more iteration can you do, you can, you can train the model much faster. So if you have very strong infra and you have a lot of compute, you can, you can train these models in very short period of time. That can give you a much larger buffer to, for errors, and it also gives you the opportunity to spot more bugs.Iteration Speed, Compute, and Debugging Model PipelinesSwyx [00:05:46]: What is an iteration? Is it like a few hundred steps or what are youEthan [00:05:50]: Let's say just the train-training the model, like from acquire new data and maybe design new algorithms and train a new model, maybe at smaller scale orSwyx [00:06:01]: So cycle time for like any hyperparam that you're searching.Ethan [00:06:04]: Cycle time and tune to like eval this model. Is this model better than my previous iteration?Ethan [00:06:11]: SoSwyx [00:06:11]: So it's like before you, someone had already set this up that you can iterate very quickly.Ethan [00:06:15]: I think the foundation there is extremely good forDeveloping and research models.Ethan [00:06:23]: And often I find is it-- this is kind of boring, but like a lot of the improvements does not come from new algorithms. It comes from finding small bugs here and there in the data pipeline, in the, in the model training pipeline. Those give, those give the biggest boost to the model quality.Vibhu [00:06:46]: It's interesting, right? So you say it's like small team, less communication bandwidth, but also a lot of quality is like find little bugs. It seems counterintuitive, right? You have a lot of people, you can iron out more of those, but it's interesting to see the other side, right?Swyx [00:07:00]: I also wonder, have you-- do you try using LLMs to look for bugs? I don't know.Ethan [00:07:05]: I remember at that time it was mid two thousand and twenty-five, so it's the coding model wasn't quite there yet. I remem- I remember like December two thousand and twenty-five, it was extremely good. Yeah, I've been, I've been using it at that time. It's, it's helpful. sometimes it produce codes that are kind of difficult to maintain, even though like the first time it built something extremely fast. But it gave the, like a spaghetti code, thousands of lines that I couldn't maintain, and the LLM itself couldn't figure out what's, what's wrong and how to improve on top of it. But now I find it much better. Yeah, I want to bring up another point here is now coding models are much more efficient and can help us implement stuff much faster. Compute might become a bottleneck again because previously, like if you want to train a new model, say you want to generate new synthetic data and then or write a new algorithm, it might take a few weeks. And during that period of time, you don't-- you might not have experiments to run. But now you can build that thing within a few hours, then you can immediately train a model.Ethan [00:08:24]: Now you have to have enough compute to try all of the ideas. So compute might be the bottleneck of iterating speed again.Swyx [00:08:36]: yeah, I actually, honestly, I think it's like kind of a stressful job because you're “Well, I should be trying everything, and if I'm not, then I'm not doing my job well.”Vibhu [00:08:48]: there's also the stress of you're eating thousands of GPUs per hour, which is very expensive and, compute can go to other researchers.Swyx [00:08:56]: You got the daddy Elon toVibhu [00:08:57]: You got daddy Elon.Ethan [00:08:59]: It wasVibhu [00:09:00]: But there's still finite amount of compute, like you want to use it, you want to use it well, you want more of it.Ethan [00:09:06]: That was quite stressful indeed. Yeah, I think one thing is the-- with coding models now, like a lot of these jobs can be automated, which is much better. A second, it's a, it's a marathon, so you got to maintain good health and, a regular schedule.Vibhu [00:09:28]: It's, it's hard to hear that when you shift from zero to nothing in two months.Swyx [00:09:32]: and, I think obviously the culture at xAI is very famously, people work very hard. one thing I did want to dive into, in our-- in the notes that you, that you sent ahead of time, you had specific comments about the cost of Video Gen training. presumably this is on the Colossus-1, right? the two hundred megawatt cluster. Any whatever you want to just share on that.Vibhu [00:09:54]: I think there's, there's three things we're talking about, right? So there's Video Gen, there's also the Image Gen model that you put out. Do you want to like complete the, okay, so zero to one, you have a few months. Just what are the stages of create Image Gen model?Swyx [00:10:06]: Oh, yeah, maybe I got distracted.How Image and Video Models Are Trained: Synthetic Captions, Tokenizers, and VAEsVibhu [00:10:07]: Sorry. and then, from there's Video Gen, there's Audio Gen. Would love to get into those next. But what is that first few months like? So small team, a lot of bugs, iterations, but what does it look like? Do we take something off the shelf? Do we just get data compute? What's, what's the few months like? How do you go to state-art Image Gen model? How do you just start?Ethan [00:10:28]: I cannot comment specifically how xAI did, but it's, it's a quite standard process. I can draw some, examples from Cosmos. So mainly it's building a video model, you actually need to build a image model first. And building these two models, the data you need is a hundred percent synthetic pair of language and image or language to video. Because on the, on the internet, actually, the videos don't naturally associate with text. So you can say, oh, like on YouTube, you have the title and you have the description and the commentsSwyx [00:11:11]: TitleEthan [00:11:11]: of a video, but usually they're not relevant to the video itself. And say maybe like the video is a natural scene of mountains or something, and the title is, I'm so happy today.Ethan [00:11:26]: So they have they have no correlation at all. So the first step is to, you have to generate synthetic pair of language with the videos. So you gather videos from the internet, and you use a VLM to caption the videos. So that part, here's a question, like how do you, how do you gather VLM to begin with? So if there's noSwyx [00:11:55]: You, so you fuse the model, right? LikeEthan [00:11:57]: Say if there's no like VLM exists, like how do you generate the text to the beginning, right? It's, it's impossible.Swyx [00:12:04]: I see.Ethan [00:12:05]: In the beginning, it's like you ask human to describe the video as detailed as possible.For example, you ask them to describe everything, like all objects, all characters, and all interaction and dialogues in the, in the videos. So that's in the protocol of Cosmos labeling. We require the objective we give to the labelers was that you have to describe the video as detailed as possible, such that a blind person hears a blob of text can reconstruct what the video is like from their head.Swyx [00:12:43]: Video or image? You're talking about images.Ethan [00:12:44]: Video or image, either one of them.Vibhu [00:12:47]: This was pretty common when we went from clip and DALL-E, right?Vibhu [00:12:51]: It's all training on really detailed captioning of images. So same is applied to video, but insteadEthan [00:12:57]: same appliedVibhu [00:12:57]: of using multimodal model to pass in video images and write rich descriptions, you can alsoSwyx [00:13:04]: I think there's this traditional perspective of supervised, or, very highly human curated thing. I feel like there's a unlock with unsupervised, right? Where like you have enough to bootstrap that you can just throw common corpus on it or, whatever. like unsupervised vision and language pairing, right? Like where you just have, interspersed image and text and it just learns. To me, that is the VLM breakthrough that is different from the clip, different from the LM era.Ethan [00:13:36]: It's interesting to see that you kind of need both data.Ethan [00:13:41]: For example, for theSwyx [00:13:41]: You need it to bootstrap it up. YeahEthan [00:13:43]: for the generative model training, there's also usually like a small percentage of unlabeled data. So the model is instructed to generate a video without any text instruction. That can also help the model generalize. So after this stage of generative synthetic pair, so, one important common step is to train a compressor or a tokenizer of the image or videos. So because, if you train-- If you can technically, theoretically train image or video models on pure pixels, but the problem is that the, it's, it's a lot of tokens. So like one image, it's, a thousand by a thousand, it's like one million tokens, one million pixels. It's impossible to train transformer on that. So it's, you need to train a tokenizer, which can go from image to latent space and latent space back to image.Swyx [00:14:45]: That's why we named the podcast.Swyx [00:14:48]: But, basically, you're talking about vocabulary science.Ethan [00:14:50]: so vocab.Swyx [00:14:51]: And so, what is, what is imp-- like a million is impossible?Ethan [00:14:54]: In generative models, the vocab is continuous. It's a continuous space. We can think about like you map an image to a vector. It's a, it's a fixed length vector. It's sixteen or forty-eight, something like that. And then you map that vector back to the image space. And the mapping is, has-- The mapping is patch-based. So you say you haveEthan [00:15:22]: a sixteen by sixteen patch and you match, you map that patch of pixels into this latent space.Swyx [00:15:29]: We've covered thisVibhu [00:15:30]: This is like the vision transformersSwyx [00:15:32]: VAEs,Ethan [00:15:33]: VAEs.Vibhu [00:15:34]: You basically compress your input, you do your generation, you're reasoning all that generation in smaller dimension, and then you project back out.Swyx [00:15:43]: VAE is a form compression, but I think the for me, the patching thing is from VIT, right?Ethan [00:15:48]: You can make those.Swyx [00:15:49]: Literally the, yeah, the paper is titled like sixteen by sixteen is all you need. something like that. and then I think also, people make a lot of comparisons with this kind of patching with convolutions.Swyx [00:16:02]: Which is you're, you're kind of re- reconstructing the old paradigm with the new.Ethan [00:16:05]: Actually, in VAEs, there are, there are both convolution networks and transformers. You can actually do both.Ethan [00:16:14]: After this VAE, so what you've got is you've got latent space tokens and you've got the language tokens. So now the training of the diffusion transformer, usually generative models use diffusion transformers. It is actually quite standard. It's, it's very similar to how you train a language transformer models. It's not that much difference. It's just the tokens, the visual tokens in, visual tokens out. The only difference is there's a denoising process. So you train the model to unmask some of the noise. So you add, you add random noise to the visual tokens, and then you train the model to remove those noise to generate the clean tokens. Any inference, the model can iteratively remove noise from a hundred percent noise.Swyx [00:17:12]: And then there's also, to speed things along on the tech tree of diffusion, there's CFG, and then there's, there's also, latent diffusion that, there's, there's someone in there. I think, somewhere along the line, obviously, like stability and all these other guys, pioneered a lot of this, architecture. I don't know if you want to get into that or just, or do the video side up to you.Bootstrapping Video from Image Models and Temporal CompressionEthan [00:17:37]: After you train such model, such image model, the reason it's a, it's a foundation for video models is that image models are cheaper to train, and they have much denser connection between language and text. So, sorry, language and images. For example, you train a billion, you train on a billion images, and there's a mapping from the text to the image. And the cost to train the same, like the, a billion, a billion text to a billion videos, that's much more expensive because videosNaturally have more tokens than images. Because the diffusion models, their understanding of, language purely come from this mapping. So if you don't have enough mapping, so if you only train on like a ten million videos or something, there-- you might not see enough language tokens in your training, so your model does not understand human intention enough. So that's why you really-- you train-- you first train this image diffusion models, and then you bootstrap the video model from there.Swyx [00:18:53]: One thing I did want to ask, because I-- actually, I think you're, you're the first per-- video model person I've ever talked to, I think. we've, we've like talked to Luma and all those folks. There's all these tricks in video compression where basically frame by frame there's not that much difference, so actually you don't have to regenerate or save the whole frame, right? but I think MP4 compression or something else like that.Swyx [00:19:16]: is it tempting to use that? Or as far as I can tell, everyone just treats it as, “No, we would just generate every frame.” Is that roughly the state-art?Ethan [00:19:27]: There are a few different approaches. Let's say first, like you want to just directly use MP4 compression and use that as the tokens for the transformers to train, right? So people actually have tried that, but the main challenge is the latent space for the MP4 tokens were not, were not very comprehensible for the models. It's, it's extremely hard to train on that. And there's aEthan [00:20:01]: So that's why they created VAEs, which creates more continuous, latent space, so the models can understand that latent space and learn from it much easier. Even within the VAEs, there are different difficulties of the latent space. So you can imagine something the simplest, the most naive VAE is like you have an image, and you just shuffle all of the images into a, into a vector. So you don't need to train any VAEs, right? But that latent space is extremely hard for models to train on top of. That's why there are some debate on like how do you compress the tokens. So you mentioned like you can compress frame by frame. Also, you can compress, the temporal dimension.Ethan [00:20:52]: The difference is if you compress the temporal dimension, you get a much higher compression rate. Because there's temporal redundancy between frames, because, this frame and the last frame, likely they are mostly similar, so there's only some small difference. for example, I think in 12.1 VAE, they have like a eight by eight by four compression rate. So the four temporal tokens are compressed into one tokens. That can save a lot of, save a lot of the context length. If you do it frame by frame, you have to do maybe like eight by eight by one. Your context length will be four times larger. That being said, the benefit of the frame-- per frame compression, we might come back to this later, is, real-timeness and interactivity. ‘Cause if you, if you strain the output of the model, frame by frame, you can-- the model can respond to any user request immediately. So if you have like a temporal four compression, four times compression, thenSwyx [00:22:06]: It might be laggyEthan [00:22:07]: there's a lag there in nature.Swyx [00:22:10]: So you're very pilled on this. let's just go ahead and bring it up ‘cause we have the visual prepared anyway. There's some frontier applications of real-time video gen. So Flipbook is one of the examples that went viral recently, right? What is Flipbook?Real-Time Generative UI: Flipbook, Neural OS, and Diffusion Front EndsEthan [00:22:23]: Flipbook is kind of like a web brow- web browser. You can see like it has the web bro- browser UI on top. The difference is all of the UIs are generated by generative image model in real time, and anything here are fake. But you can, you can explore inside this wor- this imaginary world. Say like we-- here we have engineering the Great Pyramid. Like the model generates this for us to understand how it works, and if we want to navigate around and understand further, we can click on some of the, some of the description here, and the model will generate a new page, new subpage describing the details we want to know about.Swyx [00:23:14]: So it's basically kind of we're playing a video, but it's pausing for our next interaction, and then it just plays the next thing based on our interaction.Swyx [00:23:23]: Which is kind of cool.Vibhu [00:23:25]: and you kind of decide your story. So this was, how do you make a pyramid? levering technique seemed interesting, right? It shows how do you take Okay, I want to know what is thisSwyx [00:23:35]: The demo, the demo tweet had more animation between frames.Vibhu [00:23:38]: I think it's just skipping,Swyx [00:23:39]: Oh, it's just skipping a lot of frames.Ethan [00:23:40]: they also have a video modeVibhu [00:23:42]: It takes a lot. There's a lot of peopleEthan [00:23:42]: but, a lot of people are using it.Ethan [00:23:45]: So it's not available.Vibhu [00:23:46]: There's a live video stream. We can try,Swyx [00:23:50]: So this is an example of the kind of future that you see at the extreme. We don't-- we're obviously not in it today.Swyx [00:23:56]: But in a world where inference is completely free this is better than generating code and text?Ethan [00:24:02]: So this is, this is a final state of where Viva will be at for word model, I think. Imagine internet doesn't exist, and then you type in google.com. Like what should, what should, what should a model show you?the model can imagine something, and this is what the model imagine. And these web pages, they completely do not exist. So I think as the inference costs come down, we are going to have generative UI for everything. If you think about how the coding model works, so they write code for a web page, and they render the code might be con- converted into binary, and the binary render the pixels on the screen. So we in machine learning, every time we have some breakthrough, obviously it's, it's more intuit. So why don't we have like user instruction to the pixel directly? So the generative UI will be user intention to the pixels directly. And say like even if I want email, let's say everyone have the same interface, but I want, I want it slightly different. I want the email to show to me like a TikTok, so I can swipe left and right for the emails. And or maybe you want something else. We can have completely different things. Or like I have I'm looking at, Instagram stories, and I don't like the Like button. I always may click it. And, generative UI resolved it. So it's going to be a revolutionary replacement of the interface. So in the future, we might have much more powerfulEthan [00:25:50]: LLMs and coding models running behind the scene. And in the, in the front-end, the diffusion model will actually be the front-end to show stuff to you. That's how I imagine it.Swyx [00:26:02]: Diffusion front-end, deterministic back-end.Swyx [00:26:04]: Something like that. I find that very expensive, but,Vibhu [00:26:08]: I find it interesting you called LLMs writing code on the back end deterministic, but okay.Swyx [00:26:14]: you write it onceVibhu [00:26:15]: Compare it toSwyx [00:26:16]: And then you execute.Ethan [00:26:17]: If you think about the cost, say, let's say H100 costs $1 per hour, and if you use this eight hours a day and thirty days, so, every month you're paying this two forty, you'll actually not wanna pay for that. That's even more expensive than Cloud Code Max. But if you think about the compute costs come down like two times every year, and I think the future will likely arrive like within few years.Vibhu [00:26:49]: It's everything, right? compute cost comes down, compute gets faster, model gets smarterEthan [00:26:54]: More efficientVibhu [00:26:54]: model gets smaller.Swyx [00:26:55]: I don't know why you say two times, ‘cause I think it's like 100 times. In language models, it is roughly one hundred to a thousand times every twelve to eighteen months, for the same given level of LMSys, ELO.Vibhu [00:27:08]: That's a net of everything, right? That's model performance alongside compute. So different than just compute costs come down. But, a very interesting future.Swyx [00:27:19]: So the web designers will have to shout out that accessibility is an issue, right? how do you deal with screen readers or whatever. But yes, this is higher bandwidth storytelling than anything you can possibly generate with code, right? So I think that's the rough idea.Ethan [00:27:34]: And I'd like to add a little bit that so human naturally have the maximum bandwidth when we are looking at things, look at videos, and we also have maximum output bandwidth when we are talking. So in the future, it might be something like we talk to AI models, and the AI model responds back with a generative UI. So that would be the maximum input and output bandwidth to interact with AI models before neural link happens.Vibhu [00:28:06]: And it's also very custom, right? Some people are very visual, some people are not as visual, right? They prefer the text. But the best thing about generative UI, right, it can also be text.Swyx [00:28:17]: There's another project that we wanted to highlight, which is the Neural OS. Kinda similar idea, but here you're literally operating, simulating an operating system with a video model.Swyx [00:28:27]: and you can play Doom, you can do Firefox. I find this like mildly less impressive, obviously, because it's an OS that I can run.Swyx [00:28:37]: But here everything is imagined.Vibhu [00:28:40]: I was, used to the Command+W to close the Firefox tab. It didn't crash. That's why I saidSwyx [00:28:45]: It's too immersive.Vibhu [00:28:46]: It's, it's too immersive for me.Swyx [00:28:47]: Too immersive.Vibhu [00:28:48]: I wanted to close the tab.Vibhu [00:28:49]: But yes, I can play generated diffusion.Swyx [00:28:51]: this is shockingly fast.Swyx [00:28:54]: Because I remember there was a demo about like maybe one to two years ago. Someone tried to do the first-person shooter with a image model. There was no consistency. It was very slow. But here it looks like realistically it's-- this is Doom.Vibhu [00:29:07]: I think there's two sides to that, right? There's okay, what is running a game? The heavy part of it is actually the game engine, all the lighting, all that stuff, the graphics. This is just kind of video, right? Like we've solved consistency. This is still, it looks like a few years old image generation. There's some temporal consistency, but it's, it's kind of just images stitched together as frame video. But it's a good visual representation to pi- to picture the future you wanna see, right? that's, that's what I see in these more so.Ethan [00:29:38]: This reminds me of how the video models gets better and better. So Neural OS is kinda if you just look at it feels like it's just a crappy version of the, like the Windows we could have, right? And, but the difference is, so the model, this model is overfitted on the existing operating systems. It can generate nothing different than that. But it's actually also similar to video models. So when we are training these video model, image model, we train them on internet. There's no imaginary supernatural stuff on the internet. But once we train this model, you can prompt the model to generate something supernatural that have never existed in the data set. So if you train your Neural OS or neural computer on the standard screen recordings on the entire internet. The model can imagine completely new interface to interact with the computer.Swyx [00:30:43]: This is one of those things that is magical to me. usually generalizing out of distribution is bad, but somehow we have learned some kind of internal world model that you say, this plus, but it looks like rainbows and butterflies, it'll do it and it will kind of make sense.Swyx [00:31:03]: So yeah, that's kind of cool. Yeah, I don't know if there's any comment more on there. I do, I do wanted to, I did wanted to touch a little bit more on the model architecture stuff, which I think you were getting. It's, really fascinating. We don't get a chance to talk about this enough. So one of the papers that we covered, we've covered every annual, segment anything release. and I don't know if you follow-- you're a computer vision guy, so youEthan [00:31:26]: I knowSwyx [00:31:27]: . So they did memory attention, which is kind of interesting. And I always think, anything where you can, across the temporal dimension, keep some consistency, I think it's, very fascinating, and I don't know if Basically, does that-- the CV side bleeding into video gen side, I think is underexplored, right? we talk about it for labeling, but actually you can borrow the architecture itself.Ethan [00:31:50]: There's, there's also complete different approaches, right? you brought up the term world model, so we went from video model to world model. There is diffusion, but there's also other approaches that people are doing. So maybe we get into those after as well,?Swyx [00:32:03]: He has a whole definition of world models and stuff. I feel like we threw a lot at you. Whatever you want to comment on.Why Video Models Are Expensive: Storage, I/O, and Training ScaleEthan [00:32:10]: I think one thing that we should actually comment back on is okay, so we were talking about the steps to train image gen to video model. One thing we don't see as much of is okay, you brought up the delta in training data, right? SoEthan [00:32:24]: you won't have as much a video model might not generalize, but what is the cost of training a large video model? So we know for LLMs roughly, okay, even like the poolside thing that came out today, right? It's a Gemma level model trained on roughly forty trillion tokens at this many H200s over this much time, right? You can see what is the exact cost of that. So how many GPU hours over how much H200 costs? So how do we do the back-end math of, same thing for video models, image models. How do you, how do you kind of break that down? I can share some back-envelope calculation. So surprisingly, video models is-- the cost is very-- is comparable to language models and obviously the largest scale is language model, maybe like a medium scale to language models. I said just storing the videos alone, it costs a lot. You can, you can maybe look up on AWS or something.Ethan [00:33:20]: You really, say if you have a billion videos and let's say, let's just say like each video, like five megabyte, then you need five petabyte to just store those videos. And also remember we talk about you use a VAE to compress the videos, and you also need to store, typically you need to store those continuous feature, in-- also in your storage. That's also comparable size with the videos themselves. So just storing these videos and the features is tens of petabytes alone. And,Swyx [00:33:58]: I just, I just looked up the calculation. Five petabytes on S3 Standard is one hundred K per month.Ethan [00:34:05]: AndSwyx [00:34:05]: It's comparableEthan [00:34:05]: and you needSwyx [00:34:06]: AndEthan [00:34:06]: And then like tens of petabytes, two hundred K. And even more expensive is you have the ingress and egress.Swyx [00:34:13]: Oh, yeah.Ethan [00:34:14]: Like you-- through the internet. You have to just to download those videos, I believe it's, it's more expensive on AWS than just storing those videos.Swyx [00:34:25]: Storing, yeah.Ethan [00:34:25]: And each training runs, you probably need to pull them once. If you train multiple times, it's, it's even more than that. So it's like just storing the network, those costs is just, it would be a few, a few millions per month to just storing everything, not to mention the GPU cost.Ethan [00:34:45]: AndSwyx [00:34:45]: my side tangent, the compute rental, like GPU rental is very efficient. There's one side, okay, you can be XAI and build your data center. Should we not just build our, storage compute as well? LikeEthan [00:34:57]: Of courseSwyx [00:34:57]: cloud cost compared to just,Ethan [00:34:59]: You save so muchSwyx [00:35:00]: store. Yeah, exactly.Swyx [00:35:01]: Especially with like egress and stuff. So.Ethan [00:35:04]: That's a good idea, but it also comes to-- there are some of its own challenges.Swyx [00:35:09]: Of course, of course.Ethan [00:35:10]: like people who build the GPU data centers, they might not expect this much, storage. And yeah, people build storage, typically they just build it somewhere with just CPUs.Swyx [00:35:23]: I just looked it up. Five-- AWS only charges for egress, not ingress. Tier five for five petabytes is two hundred and thirty K.Ethan [00:35:32]: Even more expensive than the storage.Swyx [00:35:34]: But storing is per month, right? You check in, then you cannot check out. so it's so cool. It's okay. So there's that side.Ethan [00:35:41]: So the TLDR, my backhand mathSwyx [00:35:42]: Data is larger than you think. Yes.Ethan [00:35:44]: my backhand math of GPU hours times GPU cost is also very much, I'm missing some storage.Swyx [00:35:49]: You're also-- you're basically like also more IO bound than normal training.Swyx [00:35:55]: Yes. ‘Cause like data loading, so caching everything, it becomes super important.Ethan [00:36:00]: So in Cosmos, we did a lot of optimizations to make it not IO bound. So, speaking of the training, actually training the model, the GPU cost, if you look up like the open source model, how big these video models are, I think like LTX has nineteen B parameters. That's a dense model. And people are also exploring, MoEs, so it might be twenty B active and, like a hun- hundreds B, total. So that's, that's even-- that's similar size as medium-sized LLM models. And if you, if you look at number of tokens-Uh, we disclose that in Cosmos. It's also like tens of trillions of tokens on the visual tokens. So putting this together, the cost of, training these video models, it's actually comparable with LLMs. Not to mention, the infra is slightly different from LLM, so it might be less efficient to train these models.Inference Speedups: Step Distillation, Consistency Models, and GANsSwyx [00:37:04]: Do you get the benefits of traditional diffusion speed-up? So for, images, there's LCM, LoRAs for, fine-tuning. There's, there's a lot of stuff that's beenEthan [00:37:15]: Flow matching.Swyx [00:37:16]: there's flow matching. There's a lot of stuff that's been done. there's some overlap that applies to diffusion on the inference side and stuff or?Ethan [00:37:23]: so the difference-- the inference side is a completely different story.Ethan [00:37:28]: I think for the training side, it might be a little bit hard to reduce that cost. And for the inference side, the biggest gain is from the distillation of these models. You can-- It's called step distillation, slightly different from knowledge distillation in LLMs. So you-- Typically, for flow matching models, you need like 100 steps or something. Like a distortion model even need even more, like 1,000 steps to generate a good image or video. A step distillation is try to learn to generate fewer step from the model itself. It's kind of like now we-- you use the full model to generate in 100 steps, and then you take a model that only generate 10 steps and let that model to learn from the perfect one.Ethan [00:38:25]: why this workSwyx [00:38:27]: Strong to weak seemingly.Ethan [00:38:28]: It is. It's kind ofSwyx [00:38:29]: DistillationEthan [00:38:29]: kind of like strong to weak. the-- from the modeling perspective, the strong model, the teacher model is trying to model the image and videos of inter-internet, and that distribution is extremely complex. But the step distilled model is just trying to learn from the teacher. The teacher is a model, and the size is fixed, as the distribution is much simpler than the whole internet. That's the intuition I have why step distillation can work. So usually these models serve in productions, they only run in a few steps. In Cosmos, I believe we have, we have like four step and eight steps. If you do some simpler task, image-image translation, it can even run in fewer step, like one step in Cosmos Transfer.Swyx [00:39:22]: I think this is the same intuition that guides a lot of the consistency model work. I sent you a link for, SCM. I don't know if you covered that. To me, that was actually one of, the most impressive papers I've ever seen from OpenAI.Swyx [00:39:34]: That this is the unifying grand concept of consistency models. I don't know if you have any comments on this.Ethan [00:39:41]: So there are, there are a few different approaches,Swyx [00:39:46]: Oh, yeah. Here it is.Swyx [00:39:47]: Two steps versus twenty or 100 steps, whatever. It's already done.Ethan [00:39:52]: So there are, there are a few different approaches, for example, consistency model, and there are also Actually, we shouldn't forget GAN. So GAN, actually, that was, that was the OG ofSwyx [00:40:05]: OGEthan [00:40:05]: step distillation ‘cause it trained just one step to begin with. So actually, a lot of, uh-- For example, there's a distribution matching distillation which use, which uses GAN, as one of the laws for distillation. It-- GAN just tells you, “Hey, generate an image,” and thenEthan [00:40:31]: it has a discriminator to tell, is this image real or not? So the model, the model just need to learn one of the distribution, not the full distribution. Because in training, the model is asked to reconstruct the ground truth image from the internet, which is extremely hard. And in-- When you're training GAN, it's a step process. It's just a, “Hey, you generate image. Does this image look as real as the image from the internet?” Which is a much simpler task. And, yeah, combining a lot of these approaches together, people typically do that, like consistency model and distribution matching and GAN, and we can get these few step models.Audio-Video Generation and Time AlignmentSwyx [00:41:21]: Then there's one step I wanted to add, which is audio and video.Ethan [00:41:26]: So, Grok Imagine zero point nine, I believe it's, it's a first audio video transmodel deployed at a large scale. SoSwyx [00:41:39]: And that was your first model?Ethan [00:41:40]: that was, Grok Imagine's first model. It's, it's audio video, joint generation. I think the hard part is, the modality alignment, ‘cause before this transmodel, we have, we have text to video alignment. We have this, correspondence between text and video. Typically, most of the VLMs, they understand images and videos. Video's very rare, and they don't understand audio mostly. And if you look at the audio generation on the LLM side, you can talk to them perfectly fine, but if you ask them to sing a song or something, it typically is not very good. Also, they don't have, they don't have music either. The hard part is thatUh, actually audio has two component. It has like a discrete component, a continuous component. The discrete component is like the language.Ethan [00:42:44]: So when we speak, it's just, someSwyx [00:42:47]: It's an ASR issue, yeah.Ethan [00:42:49]: It's, it's text token with some characteristics, I would say.Ethan [00:42:54]: But musicSwyx [00:42:56]: I think the speech guys would disagree with this.Swyx [00:42:57]: Like disfluencies and then,Vibhu [00:43:00]: There's tones you can get angry.Ethan [00:43:01]: Well, I say largely.Ethan [00:43:03]: the mu- but the music is completely different. It's, it's very continuous, and you cannot model them like discrete tokens in language models. this is like the hard part for models is, not to mention we have to align text, video, and audio together.Ethan [00:43:26]: SoVibhu [00:43:26]: How?Ethan [00:43:28]: So significant-- some significant challenges are like-- So first, like we talk about as the VLMs, they cannot understand most of them cannot understand audio.Ethan [00:43:39]: So you have to have some way to do the synthetic data generation for audio. You have to caption the model, and that involve, that involve synthetic data and human data effort a lot. And not just surprisingly, most of the LLMs are very bad at recognizing, like the beat, tone, and the details of the of music. They can, they can give some general prediction of which song is this, but it's very hard to describe the details of the music. like we mentioned in image generation, like you have to describe image as detailed as possible so that someone blind can reconstruct that. So here is like someoneVibhu [00:44:32]: DeafEthan [00:44:32]: someone deaf can reconstruct how the music sounds like without actually listening to it. Maybe you can think of it need to have the-- or they call the script.Vibhu [00:44:49]: Subtitles, yeah.Ethan [00:44:49]: You gotta have all the details of the music, and the dialogue.Vibhu [00:44:55]: So is the challenge there typically stuff like music and audio, or is it just Like is there a baseline? Okay, there's enough data where we can understand, narration, conversation, but there's nuances in audio that's where you hit all the data issues or is it just from stage zero, you just do it all right?Ethan [00:45:15]: So one important thing is like the alignment. So the model, the model has to know like the video and audio, the, uh-- it has to have a time-based alignment, like at which time step the video and the audio token correspond to each other. But we actually don't have this kind of alignment for most of the other modalities. If you think about like text and image, text and video, they are loosely aligned. So you can, you can have a description of what's going on in the video, but you don't have to exactly, You typically don't have exact description, oh, at, time step one second like what happened?Vibhu [00:46:02]: It's veryEthan [00:46:03]: At time step two second what happenedVibhu [00:46:03]: coarse. Yeah.Swyx [00:46:05]: So what was the ideal time step? You have to oblate it, and then it's like four seconds or something.Ethan [00:46:09]: So that comes down to how you design the model to, for the model to be aware of as a time, as a time modality. So the model is like a time aware. And that's something pretty unique if you think about LLMs. So if you ask LLM to complete a task, say they, uh-- you ask them and they will say, “Oh, this task will probably take twelve hours to complete,” and they come back in one hour. Say “I've already spent two days on this and I've exhausted everything.”Ethan [00:46:47]: So the LLMs them-themselves, they don't have a sense of time there.Vibhu [00:46:53]: I actually don't think that's just them not having a sense of time. I think it's somewhat based, right?Vibhu [00:46:58]: Like you tell someone, “Okay, go work on this feature. Go implement this,” there's a general understanding you would have of how long that would take without LLMs working at LLM speed, right? So you think back like two years ago, if I tell you to like build me like a new front end for latent space, have a search bar, have all this, you'll estimate that it'll take a few days, right?Vibhu [00:47:19]: So you tell an LLM, “Go build this.” It'll take me a few days. But I think it's somewhat grounded as opposed to them not having the best-- Not saying that they have a great understanding, but I think that example is like you can see where it comes from, right? You're trained on all over the text.Swyx [00:47:35]: They're, they're trying to estimate what a human would say.Vibhu [00:47:37]: because that's what the, that's what the data kind of represents. It's not themEthan [00:47:41]: It came from the corpus on the internet. People have a estimate of how much time.Vibhu [00:47:45]: And not even just in direct like training samples, right? Just your world understanding of tokens of how long stuff takes, right? Go read a book. It'll take you a while, right?Vibhu [00:47:56]: Even if you do nothing but read a book, it takes a few days. So yeah, LLM, I read it took me a few hours.Vibhu [00:48:01]: It'll take me a few hours to go through this research. But this is a tangent.Swyx [00:48:05]: Somewhat, yeah.Swyx [00:48:06]: This is a train of thought I haven't really expressed until now is, which is basically like a full world model must also be recursive, meaning that the participant in the world model must also be aware that they have a world model. which is like this whole recursive thing down the, down the line. but yes, and that the world model can be wrong and that they need to update it and blah. Yeah. We've, argued this on the, newsletter as well, that there needs to be sort of recursive or adversarial world models.World Models: Real-Time, Long-Horizon, Interactive VideoVibhu [00:48:34]: just, to ask, how do you define world model?Swyx [00:48:38]: Oh, yeah, let's go there.Ethan [00:48:40]: SoVibhu [00:48:40]: So just for context, we talked about, video generation, and then there's a-- if you say there's a distinction between world models, what's your, what's your definition? How do you see the two?Ethan [00:48:53]: So disclaimer, I'm not going to debate, what is world model. Yeah. there are many definitions, so I'll just talk about my definition. Since I came from the multi-model, multi-model domain, so mainly talking from video. So world model is like real-time interactive long horizon videos. So there are three parts. so we-- let's talk about them one by one. So the so interaction, so we just, we just look at Facebook and neural computer. So the interaction part of it, so you, world model can allow you to interact with them through keyboard, mouse, and maybe also voice. So these all is-- all is a modality. You can, you can interact with the model, and the model should respond reasonably. Second part is real time. So once you, once, say, you move your mouse, if, say, the world model generate a game, how fast can the game respond? So if you're like professional CS: GO players- -my say, oh, you have to respond- He's beginner within sub ten milliseconds or- Yeah even less. So that's not most of the- No, sixty FPS. Let's go. Oh, three hundred FPS. Oh, five hundred FPS. Wait. okay, yeah. I didn't do the math, but yeah, okay. Uh- Yeah, three hundred FPS, that's a three millisecond. So you have to respond- Oh, s**t. Okay. YeahEthan [00:50:29]: within a millisecond. Most of the video models cannot do that. Yeah. And, but if you, say, if you have a video model that is, say, like a digital human, the response time might be more generous. Maybe typically, for real-time voice interaction, it's like two hundred millisecond. So that's, that's much more generous. But even two hundred millisecond is pretty, it is pretty tricky, ‘cause remember we mentionedEthan [00:51:01]: you have this, temporal compression coming from the VAE. So if you, if you don't compress the temporal dimension, your sequence length is going to explode. So if you want to have this real-time, real-timeness in your model, you have to do is one context problem. And the third part is long horizon, ‘cause we-- if you're not going to just play with, video games just, a few seconds, most video models only a few seconds. We're going to play with minutes, hours. The model have to be able to generate long-form content.Ethan [00:51:42]: So putting these three together, it's, real-time, long horizon interactive videos. I think the final state will be, for example, like a video, a video version of Playbook, where you can, you can interact with, a neural computer. You move your mouse, and you click on the generative interface, and it will reply to you through pixels- generating in real time. But getting there, it's, it's a very long way to get there. So one of the first step, at Grok Imagine, where I led a small world model team there, was to build video extension. So, video extension- it's the first step of interactivity. Yeah. It's, it's the first step. Yeah. So it's the first step- You have it here, video editing, yeah. Yeah. Yeah. So the first step is because, this unlocks long horizon videos. Typically, for most of the video generation models, you give it a prompt or an image as an initial frame. You generate video, that's it. That's just, one time, done. And some creators would try to, use the last frame as a first frame for the second video. It can-- sometimes it works, but if you do it a few times, it says the quality would decrease. And- It doesn't have that context- Yeah over the full video, so the temporal- Yeah, exactly. Yeah, ‘cause you only gave it the last frame, of course, right? Yeah. Exactly. And- it's actually a pretty fun hack. if you've seen like- Oh, no, he's saying something better. Yeah. And for example, like Vue, I remember Vue 3 has like a second context of the last video. It is slightly better than using the last frame, but it has the same problem-- similar problem that it, the quality would decrease. if you extend a few times to, one minute, the video quality would look much worse than the first video. Second, another problem is that the model doesn't have long-range knowledge of, what's happening before. Say, if they generate some dialogue, some, two people speaking, and their voice might change, over some time, especially if the second conditioning, it does not cover the previous context. So these are the core challenges. So the Grok Imagine video extension, it has historical context of all of the previous generated videos. It can, It has, it has the context of, who is speaking and what objects have appeared and everything, having that to generate the next video. So if we naively do this, you can imagine, just, put all of the previous history video tokens into the context. The context lens will easily explode. Especially for video models, that can be like a few, a few million context, I would imagine- context lens. Yes.Yeah.Swyx [00:54:58]: Let's run with that.Ethan [00:54:59]: for example, like in Cosmos, I think just five seconds of video is like a fifty K or sixty K number of tokens. So like if you do, if you do fifty second, that's a five hundred K tokens. If you do longer than that, easily explode. This long horizon, problem was the first step we're trying to solve world model. It turns out people, yeah, people love video extension. Like a lot, a lot of the creators love using video extension to create longer form videos. This is the part I liked that you have a, you have an intermediate step toward the final goal instead of just a straight shot to the final version very much.Swyx [00:55:48]: But I can see you have a strong vision of where we want to end up.Long Context, Redundancy, and Efficient Interactive VideoVibhu [00:55:51]: Does it seem like it's an efficiency issue? okay, we're at a few million tokens context,. If you draw the parallel to language models, we had very short context, two thousand, eight thousand, then, you scale it up one million, ten million. sure, there's effective context, but at the end of the day, it's just what's it worth? sure, there's a whole training data side. In video, it might be slightly easier ‘cause we have a hundred million token video, right? Just take a movie with the full context there. Like is this efficiency from an inference standpoint that like it's expensive, but we know how to solve it? Or like why is this not the approach? So like my broader point was on your second point of world models, you say it needs to be interactive and live, right? You should be able to play a game and see the interaction live. So one thing I see with research is a lot of what you actually serve is different than what you build, right? So we talked about distillation. You train big model, you distill it, you do quantization, speculative decoding. We do all this stuff to serve it efficiently. Should we not just have a solution, like a world model that can interact well, do inference optimization, serve it, distill it secondary, so make it real time after you solve it? So like a-- another parallel is say, continual learning, right? What we need is someone to solve it and show it works inefficiently. Give it a few years, people will make it efficient. Same thing with regular attention, right? It worked. Over a few years, people have different forms of attention, and we've scaled it to be efficient at log context,? So kind of two things there, right? One is it seems like it works. You've scaled it. Can we not just scale it a lot more efficiently over time? Do we need a separate approach if this works? And same thing with interaction, right? if we can get it done, like if we can solve some way that it works, we can solve making it more efficient from an inference standpoint later.Ethan [00:57:53]: that's actually a very good point. So in videos, there's actually a lot of redundancies. So we solve a lot of the pixel redundancy from VE, but there's more redundancy in long range and long horizon videos. Say, if a character appear in the first clip and then it disappeared, it only reappear at the end of the video, you probably don't need the-- the context, like in the middle of the generation. So you only need that character, where you need. So that's why, I helped build another feature. It's a reference video.Vibhu [00:58:36]: Is it here?Swyx [00:58:36]: is it the same model release or different one?Ethan [00:58:39]: It's a different one.Ethan [00:58:41]: You probably need to search onSwyx [00:58:43]: I'll find itEthan [00:58:43]: X reference to video.Ethan [00:58:46]: So reference video allow you to like upload up to seven images as condition and generate the video. Say, if like I want-- it can, it can be characters or objects or even scenes. Say like I want, I want condition on, Sean's selfie and holding a bladeSwyx [00:59:07]: We have a dogEthan [00:59:08]: or whatever.Swyx [00:59:08]: We put the dog in the thing.Ethan [00:59:09]: you can put them there and the video models will generate the video from and copies the context over. So that can solve a lot of the problems there, like the long context problem. It doesn't need to have a very long context, but it's-- I feel like it's an intermediate solution. The modelSwyx [00:59:29]: It's cheating.Ethan [00:59:30]: the model should be able to like selectively know, where should I draw the references. So say if I want to generate a movie, I generate it autoregressive, like a ten second at a time or something. And now this character appear, I can look back to where it first appear and, bring that back. Yeah, this one, I put the references. Yeah, that's, Optimus, Einstein myself, Annie.Vibhu [01:00:02]: Oddly enough, I used Grok Search to find it, and it pulled your LinkedIn post. But yeah we found it.Ethan [01:00:08]: Interesting.Vibhu [01:00:10]: ButxAI's Underrated Work, Culture, and WatermarkingSwyx [01:00:11]: this is a problem. This is not your fault, but like XAI doesn't communicate all this work that you do very well because they just have the model release and then that's it. But actually, these details are very good.Swyx [01:00:22]: As far as I understand, everything you just described is state-art, like no one else has done it.Vibhu [01:00:30]: A lot of-- yeah, I have a lot moreSwyx [01:00:32]: And then, and then you just put this blog post with the cookies. I'm this is not enough,?Swyx [01:00:37]: but I, obviously this is like the high level numbers that people want to know. But no, okay, soVibhu [01:00:42]: And I wonder, like part of that is also some labs don't share research into what happens. And ifSwyx [01:00:50]: No, but this is literally bragging about how good they are, right?Swyx [01:00:54]: Like, why would you not say that you are capable of extending with full context? this is not a secret sauce. This is like we did the work. yeah, I don't know.Ethan [01:01:02]: different labs have slightly different communication styles.Swyx [01:01:07]: Anyway, if anyone from XAI is listening we are always happy to help you tell your story. Yeah, okay, so you did references, and I think, I think kind of the point you're, you're making is it is sort of like a kludge, right? this is-- you can do seven, but what about 100?Swyx [01:01:23]: Right? Then you need a completely different thing.Ethan [01:01:26]: So I think it's-- this is, a mechanism to, select the context from the history, and you might not put the entire history into the context. for example, there's a paper called Frame Pack, which haveEthan [01:01:41]: a heuristic that the latest history, the last one second, I put the entire history, and the history before that, I would, compress it and makes the video smaller. So they follow this pattern, this build overall pattern that the maximum sequence length is fixed. So the further you are from the current frame, you have a smaller image. So this is just a heuristic. I think it can be more automatic. The model is aware like which history part of it can be select. So this part of the research is actually being actively, worked on by a lot of people. It's also quite interesting. I feel this is actually, this part of long context is a little bit ahead of the LLM part.Ethan [01:02:31]: So for example, like in LLMs, if you-- so contexts keep growing. Let's say if you call tool and the tool call history is extremely long, that's still in context, and keep growing, keep growing. Even if you switch the topic to something else, the whole context was there. There are some agentic harnesses that help you to, say, prune the tool results and, prune Like when you, when you query a file, only show like the top 200 lines or something. Those were very heuristic-driven.Swyx [01:03:08]: For listeners, we did a write-up on the cloud code, leak where there are eight different kinds of pruning, including like you prune the tool results and all that. So you can, you can read up on that kind of thing.Ethan [01:03:17]: I think, one breakthrough in continual learning might be like a way to automatically, manage its own context.Swyx [01:03:27]: These are all heuristics, and they will be replaced by machine learning.Ethan [01:03:30]: InterestinglyVibhu [01:03:32]: TheEthan [01:03:32]: the same thing is being researched in both LLMs and video models.Vibhu [01:03:36]: The interesting thing is also like in the paper you showed, it's actually happening at the model level, right? Compared to like language models, sure, we have base attention, but we'll do our own compression, we'll do our own pruning, which is separate from model error.Vibhu [01:03:49]: Eventually, it all just boils in, hopefully.Swyx [01:03:52]: I think this is a form of like attention, but like also know sort of reasoning attention. I feel like that's different than normal attention.Swyx [01:04:03]: Does that, does that make sense?Ethan [01:04:04]: It's, it's different in the sense that attention, not to mention, set sparse attention aside,

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Vous n'aviez pas les sous pour la version next-gen ? Pas de panique. Il existe tout un monde parallèle où vos jeux préférés tournaient sur la console d'en dessous, sur la portable du petit frère, ou sur un PC qui avait clairement pas demandé ça. Parfois c'était brillant. Parfois c'était une catastrophe industrielle. Mais ça avait toujours une personnalité. Bienvenue dans les sous-versions. Mugen assume l'intro low cost, Ace Bunny crashe en direct avant de revenir ("je suis la photocopie d'une photocopie"), Brad, Pedro et HKR arrivent avec leurs sélections — et une règle maison : les jeux PC portés sur console comptent aussi, sinon HKR n'a rien à dire. Au programme : Pedro - Unreal Tournament 99 (PS2 & Dreamcast) Le fast FPS fondateur porté sur deux consoles qui n'avaient aucune raison de l'accueillir. La version Dreamcast tourne sous Windows CE à 50-60fps et se rapproche du PC medium/high, mais split-screen local uniquement, souris à 120€, mode Assaut absent. La version PS2 descend à 25fps mais gagne deux sticks et le clavier-souris USB. L'argument imparable des deux : jouer à 4 en split-screen dans son salon en Unreal Tournament. Brad vs Ace Bunny - Forza Horizon 2 (Xbox 360) Même jeu, deux avis opposés. Brad présente le naufrage : physique bancale, voitures qui tombent à travers le sol, monde ouvert tronqué. Ace défend Sumo Digital (le studio britannique sorti des cendres de Gremlin Interactive) qui, conscient de ses limites, a redessiné les événements de fond en comble : des circuits là où la version One faisait du off-road, des courses contre des avions et des bateaux. Verdict partagé : une sous-version honnête, et au moins elle est jouable (contrairement à Arab Drift Cars). Hkr - Anno : Create a New World (Wii) Après un historique complet de la licence (1602, 1503, 1701, 1404), HKR présente la version Wii de 2010, développée spécifiquement pour la console et pas un simple portage. Objectifs progressifs, Wiimote qui fonctionne étonnamment bien, DA colorée et accessible. Moins de profondeur que le PC, chaînes de production simplifiées, pas de sandbox, mais une porte d'entrée réussie pour un public console qui n'aurait jamais touché à l'original. Une sous-version dans le bon sens du terme. Mugen - MediEvil Resurrection (PSP) La transgression assumée : techniquement supérieure à l'original PS1, et pourtant c'est une sous-version artistique. Du gothique Tim Burton, on passe au cartoon années 2000 avec un sidekick insupportable et des vannes Britney Spears dans toutes les langues du jeu. Mais les niveaux sont redessinés intelligemment, l'essence du gameplay est là, et c'était le premier jeu PSP de Mugen, couru acheter en boutique au sens propre. Pedro - Medal of Honor Underground (GBA) Le fond du fond. Deux frames par seconde. Des soldats représentés par des traits de pixels parfois non codés (ils ne bougent pas). De la pelouse en intérieur, un chapitre manquant, des murs remplacés par des carrés noirs. Pedro l'a fini jusqu'au bout pour vivre "la sensation de perte de temps ultime". Déconseillé. À tester quand même si vous avez l'âme d'un guerrier. Ace Bunny - WWE 2K18 (Switch) Le pire portage de la Switch. Développé par Blind Squirrel Games (ça s'explique). Pub de lancement sans une seule image du jeu. Résultat à regarder les yeux fermés. Brad - Tony Hawk's Pro Skater 2 (GBA) La bonne surprise. Vue 2D isométrique, 60fps constants, 13 pros plus Spider-Man, BO recomposée en chiptune par Manfred Linzner sur moteur GAX. C'est excellent. L'essence du gameplay est préservée, manette en main. Une des meilleures sous-versions de l'histoire de la GBA, déclinée sur sept opus de la saga par Vicarious Visions. HKR - Street Fighter 2 : The World Warrior (MS-DOS) Un traumatisme d'enfance. SF2 sorti en 1995 sur MS-DOS, quatre ans après l'arcade, alors que Super Street Fighter 2 Turbo existait déjà. Framerate catastrophique, quatre musiques en boucle pour tout le jeu, Blanca avec une sale gueule encore pire que dans l'original. Et un mapping clavier qui a oublié que Street Fighter repose sur des quarts de cercle : pas de diagonales, les combos deviennent une expérience mystique. HKR l'a relancé pour l'émission. Il le regrette. Tellement raté que c'en est fascinant. Mugen - Rayman Advance (GBA) Jeu de lancement de la GBA en juin 2001, portage de la version PlayStation par Digital Eclipse. Tout le contenu y est, les graphismes sont magnifiques, les mécaniques préservées. Sauf les musiques, unanimement catastrophiques : l'équipe recommande de lancer un podcast à côté dès le premier niveau. Sur le fond, c'est Rayman : un platformer brillant et affreusement difficile, avec des cages cachées que seule une combinaison de sauts, plané et grappin permet d'atteindre. Mugen l'a poncé à l'époque, malgré les oreilles. Name dropping collectif : Metal Gear Solid PC, FF7 et FF8 PC, Ratatouille PSP, Gran Turismo PSP, Dead Space Extraction Wii, Dead Rising Chop Till You Drop, Batman Arkham sur Switch, Soul Calibur 2 sur PS2, Rise of the Tomb Raider 360, Tony Hawk sur GBA, Les Sims sur GBA, King Kong sur DS, Ghostbusters Wii, Prince of Persia Les Sables du Temps GBA… Jeux évoqués : Unreal Tournament 99 (PS2, Dreamcast), Forza Horizon 2 (Xbox 360), MediEvil Resurrection (PSP), Medal of Honor Underground (GBA), WWE 2K18 (Switch), Tony Hawk's Pro Skater (GBA), Metal Gear Solid (PC), Final Fantasy VII & VIII (PC), Ratatouille (PSP), Gran Turismo (PSP), Dead Space Extraction (Wii), Dead Rising Chop Till You Drop (Wii), Soul Calibur 2 (PS2), Rise of the Tomb Raider (Xbox 360), Prince of Persia Les Sables Oubliés (Wii), Dragon Quest XI (3DS), Hogwarts Legacy (Switch), King Kong (DS) Intervenants : Mugen, Ace Bunny, Brad, Pedro, HKRMontage et mixage : Ace_BunnyTechnique, diffusion et hébergement : Mugen_Pascal

FPS Through the Ages draws to an explosive close! Join the HG101 gang as they discuss and rank a 2020s first-person shooter that blends classic and modern FPS elements into a gory cybernetic thrill ride. Then stick around as returning special guest Sean Seanson joins for Magical Date: Doki Doki Kokuhaku Daisakusen, an arcade game about wooing girls based on your ability to do basic math! This weekend's Patreon Bonus Get episode will be RIPPLE DOT ZERO — a Flash-based penguin platformer, inspired by the 16-bit era! Donate at Patreon to get this bonus content and much, much more! Follow the show on Bluesky to get the latest and straightest dope. Check out what games we've already ranked on the Big Damn List, then nominate a game of your own via five-star review on Apple Podcasts! Take a screenshot and show it to us on our Discord server! Intro music by NORM. 2026 © Hardcore Gaming 101, all rights reserved. No portion of this or any other Hardcore Gaming 101 ("HG101") content/data shall be included, referenced, or otherwise used in any model, resource, or collection of data.

Sascha Pallenberg und Don Dahlmann reden diesmal über Ökosysteme, Abzocke und den leisen Aufstieg von Linux als echte Gaming-Alternative. Don hat das Wochenende mit Forza Horizon 6 versenkt – und stellt fest, dass ein Spiel einfach gut sein darf, ohne Dark Patterns, ohne aufgezwungene Frustration, ohne Bezahlschranken hinter jeder zweiten Kurve. Warum ist das inzwischen die Ausnahme? Warum kostet ein AAA-Titel 70 Euro und hält kaum ein Wochenende? Und was hat Call of Duty damit zu tun, dass eine ganze Generation von Spielern einfach wegläuft? Sascha hat seinen Gaming-PC derweil von Windows befreit – und ist bei CachyOS gelandet. Was sich nach Bastelprojekt anhört, war in einer Stunde erledigt: schneller Boot, mehr FPS, keine Werbung im Startmenü, keine nervigen Updates. Und fast alle Steam-Spiele laufen. Manchmal sogar besser als unter Windows. Dazu der große Kontext: GeForce Now im Kostencheck (Spoiler: teurer als eine Konsole über fünf Jahre), die Frage, wohin Cloud-Gaming wirklich führt – und warum Valve ausgerechnet jetzt zum heimlichen Retter des freien Gamings geworden ist. Mit Zahlen: Linux auf Steam hat sich in einem Jahr von 2,28 auf 4,52 Prozent verdoppelt. 

After several months of no play in the lifestyle, we have started to ponder one important question: Are we even still in the lifestyle? We discuss what it means to take a hiatus, why we personally aren't sure how or when to re-enter the lifestyle, and our plans for FPS as we move forward.  Let's chat about your health and wellness goals! Schedule your free consultation today at https://revitaglowmeds.com Get a FREE month of Kasidie access by clicking on the Kasidie banner at https://frontporchswingers.com Join us for an upcoming event: https://members.frontporchswingers.com Get bonus content and support the show at https://patreon.com/frontporchswingers Try Shivers pleasure-enhancing gummies! 15% off with code FPS at https://shivers.store  

Pour découvrir notre autre Podcast Pseudouf et Plo, ça se passe sur ⁠⁠Patreon⁠Le soft reboot de DOOM va souffler sa dixième bougie. Pour l'occasion, nous avons rejoué à ce FPS frénétique qui partait pourtant avec tous les désavantages possibles. Percutant en 2016, le jeu de tir d'Id Software fonctionne-t-il encore en 2026 ?Pour voir la version ⁠⁠vidéo⁠⁠La chaîne Youtube de ⁠⁠Pseudo⁠⁠La chaîne Youtube de ⁠⁠Plouf

Try Factor at https://www.factormeals.com/fps50off with code fps50off to get 50% off and free daily greens per box. Thanks to Factor for sponsoring FPS! NOTE: We recorded this before the Bungie/Destiny 2 news broke. -- Timestamps: 00:00 Intro 04:21 PlayStation 10:16 Ralph's played a preview of Assassin's Creed Black Flag Resynced 28:45 Factor (ad) 31:34 Lucy's been playing Zero Parades: For Dead Spies 42:40 Jake's been playing Lego Batman: Legacy of the Dark Knight 55:56 Ralph and Jake have been playing Forza Horizon 6 01:08:29 Ralph's been playing Deep Rock Galactic Survivor 01:12:10 User Question 01:24:08 Show and Tell 01:38:42 Wrap Up -- If you wanna check out our newsletter, you can do so here: https://friendspersecond.substack.com/ Listen to the Friends Per Second Podcast on your favourite podcast platform: https://linktr.ee/friendspersecond Follow on Instagram: https://www.instagram.com/friendspersecond -- Let's meet our hosts! - Jake Baldino (aka the Before You Buy Guy) is pretty much the most watched reviewer on YouTube across both Gameranx and his personal channel (https://www.youtube.com/c/JakeBaldino). If you're obsessed with Delorians, The Mummy and Pizza you can discuss that stuff with him directly over on Twitter: @JakeBaldino - Lucy James is a Senior Producer at Gamespot. She's actually, like, experienced and credentialed and has real life skills and stuff, while the rest of the gang would be funemployed if the YT algorithm didn't kiss them for random, inexplicable reasons. - Skill Up used to work at McDonalds but he got fired for skimming too many chicken nuggets. He says he regrets it since he hasn't had a better job since. Learn more about your ad choices. Visit megaphone.fm/adchoices

Gray Zone Warfare | Wardogs | Modern Warfare 4 | More FPS News #podcast #gaming #fps Welcome to "The Scope," your ultimate FPS gaming podcast! Join us for the latest news, trends, and updates in the world of First Person Shooters. Whether you're a seasoned player or just starting out, our passionate hosts cover everything from new releases to gaming strategies. Dive into the action-packed universe of FPS games with us!Buffnerd GamingChannel: https://www.youtube.com/channel/UCUv67t-1w4i5NJhG3T1vtmgTwitter: https://twitter.com/BuffNerdGaming1BlueTheRobot: Channel: https://www.youtube.com/c/BlueTheRobotTwitter: https://twitter.com/bluetherobotCrash:Discord: https://discord.gg/4HZxRx3MkFTwitch: https://www.twitch.tv/crash8 Twitter: https://twitter.com/fps_crashPodcast: https://redcircle.com/shows/the-scope

Men online love to talk a big game about their standards and preferences when it comes to whom they will engage with sexually. But from hosting hundreds of lifestyle events, we can tell you that most of those standards go RIGHT out the window when these guys are interacting with women in-person. So it begs the question, why are women so concerned about male validation if it's all BS anyway? Get your peptides DIRECT with no consultation call! Use code FPS to get 10% off at https://shop.revitaglowmeds.com Schedule your FREE consultation call to discuss your wellness needs at https://revitaglowmeds.com Join us for an upcoming event: https://members.frontporchswingers.com Get 15% off your first Shivers gummies order with code FPS at https://shivers.store Try Kasidie FREE for a month! Click on the Kasidie banner at https://frontporchswingers.com  

What's this?! The esteemed 'Belgium Beauty' as part of the Dukes in 2026?! Indeed, it's Lock and Matty here to sprinkle some extra fun in the world of Xbox where the news never stops moving! This week, we have two types of leaks: A fun release window... and an actual game ahead of its launch. Starting with the fun stuff, Gears Of War: E-Day is looking to take a slot in what will, no doubt, be an extremely busy September. How it leaked is the fun part! In the not so fun stuff, Xbox themselves leaked Forza Horizon 6 via Steam. Fortunately, it is very close to the game's launch, but there is more to this story. How did this go down and should there be any panic? Let's dive in!Please keep in mind that our timestamps are approximate, and will often be slightly off due to dynamic ad placement.0:00:00 - Intro0:03:42 - Health Is Wealth0:08:37 - The Xbox-Discord partnership is official0:21:22 - Forza Horizon 6 leaks online ahead of launch0:28:22 - Ken Levine on why Judas took a decade to make0:47:07 - eBay rejects Gamestop's offer0:55:40 - Lies Of P sequel in full production1:10:19 - PlayStation first party is diving into the world of AI tools1:31:10 - SEGA cancels Super Game1:38:02 - The Bungie acquisition gets uglier1:48:57 - 007 First Light claps back at FPS jokes2:00:38 - Switch 2 price hike is here2:06:12 - Game sales update2:09:47 - What We're Playing2:57:03 - Gears Of War E-Day appears set for September3:06:45 - Wrap up Learn more about your ad choices. Visit podcastchoices.com/adchoices

Während die PC-Fraktion fleißig Grafikkarten aufrüstet, warten wir im Konsolen-Lager immer noch auf den echten Next-Gen-Sprung. Brauchen wir dringend eine PlayStation 6 und eine neue Xbox, um Spiele in 4K und 60 FPS zu erleben? Oder sind die aktuellen Konsolen noch lange nicht am Limit und wir sollten den Hardware-Wahnsinn endlich stoppen? Für diese Diskussion hat Lea sich Felix und Chris eingeladen, die sich heute mit völlig unterschiedlichen Meinungen gegenüberstehen. Auf welcher Seite steht ihr? Spielt ihr weiter auf euren bereits bestehenden Plattformen Konsolen oder wartet ihr auf die nächste Generation? Schreibt es in die Kommentare! Alle Links zum GameStar Podcast und unseren Werbepartnern: https://linktr.ee/gamestarpodcast

《商业就是这样》正在策划常规的访谈类节目，我们希望与每个领域的专家，把“就事论事”这件事做到极致，本期就是我们的一次尝试。如今世界上的顶尖职业体育项目——足球、篮球、F1等等——往往都有了上百年的历史。对于这个行业的从业者来说，你可以投身、参与、改善这些赛事，但是很难从0开始创造一个赛事。而冯骁和他的同事可能是极少数有这种机会的人。冯骁是腾竞体育的副总裁，也是腾竞LPL（英雄联盟职业联赛）和VCT CN（无畏契约冠军巡回赛CN联赛）的总负责人。尤其是后者，是一项2024年开始的新电竞赛事，冯骁和同事们从头开始搭建了整个赛事的地基与框架。这让我们有了一个难得的视角，来窥探职业电竞赛事的商业模式。不过让我们意外的是，冯骁在聊天中反复强调对传统体育赛事的研究、学习和借鉴，在他看来，电竞赛事最有趣的地方，是能够更彻底地汲取已有巨人的经验，孵化一个完善的娱乐生态。感谢腾竞体育对本期节目的支持。注：本期节目提到的“瓦”，即为玩家对《无畏契约》（Valorant）的昵称。| 嘉宾 |冯骁 Eric，腾竞体育副总裁| 主播 |肖文杰、邢梦妮Molly| 时间轴 |04:11 最早电竞是厂商市场营销的一部分06:41 拳头游戏的赛事制作团队，大多参与过奥运会08:54 至今还记得2013年的上戏莲花路校区的季前赛09:54 从“乡村大舞台”起步13:56 “为什么我们的灯光让主播看上去皮肤很差”14:59 让屏幕迅速显示选手选择的英雄，这一件小事也不容易20:29 2017和2018是中国电竞的破圈时刻26:24 MOBA像足球，FPS像篮球29:23 用故事线的概念来理解一场体育赛事33:39 为什么加入腾竞体育36:35 一个体育迷，像盖楼一样做电竞联盟和职业赛事41:58 “我们甚至要给电竞选手上课”46:35 什么样的赛制？多少战队？要不要升降级？53:08 巡回制的灵感来自于F159:17 地方对电竞赛事有多支持？70:50 十几年对于一个体育赛事来说还是萌芽期75:56 星是造不出来的80:32 “你希望你的小孩以后搜你的名字，出来的是什么样的新闻”| 后期制作 |刘大哭| 声音设计 |刘三菜| 收听方式 |你可以通过小宇宙、苹果播客、Spotify、喜马拉雅、网易云音乐、QQ音乐、荔枝、豆瓣等平台收听节目。| 认识我们 |微信公众号：第一财经YiMagazine联系我们：thatisbiz@yicai.com

Cette nouvelle émission (sans spoiler) de Gamer&Geek vous donne notre avis sur Resident Evil Requiem, neuvième opus canonique de la série culte de Capcom.Un jeu qui sort pour les 30 ans de la saga et qui a donc une importance majeure.Le scénario est-il soigné ? Les protagonistes sont-ils aussi intéressants l'un que l'autre ? Quelle vue préférer ? (FPS ou TPS) ? Le gameplay est-il intéressant ? Les zombies ont-ils évolué depuis le dernier épisode ? Les doublages et musiques sont-ils à niveau ? Quel avenir pour la série ? Le moteur RE Engine est-il au bout de sa vie ?Damien, Julien et Mickaël répondent à toutes ces questions et même un peu plus, avec bonne humeur, expertise, quelques blagues et quelques surprises imprévues !Bonne écoute et n'hésitez pas à noter cette émission si vous l'avez appréciée ; cela aide le podcast à se faire encore davantage connaître ! ^^

In deze aflevering van Side Quest schuift Jos Hoebe aan. Hij vertelt over zijn nieuwste game Gallipoli, de ontwikkeling ervan, de geschiedenis achter zijn eerdere titels en natuurlijk het conflict waar de game zich op focust. Verder duiken we diep het FPS genre in, van Battlefield tot Call of Duty, en bespreken we waarom die games ons nog steeds blijven bezighouden. Daarnaast heeft Sjaak weer veel te veel uren gestoken in Crusader Kings III, raadt hij de nieuwe Regular Show aan en speelde hij zowaar een nieuwe game: Dead as Disco, inclusief muziek van Django Wagner. Tom is ondertussen verder gegaan met Saros, al begint die game hem langzaam een beetje kwijt te raken.Hoofdstukken:(00:00:00) intro met Jos van Blackmill Games(00:00:30) Hoe is het met Jos(00:02:10) Waarom een korte delay?(00:03:20) Hoe is het met Sjaak(00:04:15) Hoe is het met Tom(00:04:40) Wie is Jos en wat is Blackmill Games? (00:15:30) Gallipoli, zijn nieuwe game(00:23:00) Veldonderzoek voor Gallipoli(00:25:30) Mooie spullen(00:26:40) Turken, Australiërs en Nieuw-Zeelanders(00:32:30) Alles met respect behandelen(00:38:00) Grote aanpassingen(00:42:00) Hoe hardcore is Gallipoli?(00:47:10) Je kan niet mikken? Ga grenadier!(00:52:10) Een eigen thema(00:57:30) Stelling, altijd een WW1 game of iets nieuws(01:02:00) Stelling, Battlefield of Call of Duty(01:11:45) Afronding Gallipoli(01:19:20) We zijn terug(01:25:06) Battlefield 6 heeft een nieuwe map(01:28:24) Dead as Disco en Django(01:33:00) Marathon, nog steeds(01:34:00) Overwatch is 10 jaar oud(01:37:37) Saros, komt het af?(01:39:00) Gedoe met Mixtape(01:43:00) Een nieuwe Kees van der Spek(01:47:55) Euphoria valt mee(01:51:00) The Boys met Spoilers!(01:56:30) The Regular Show is terug(02:00:15) Remarkably Bright Creatures

This episode of Double Tap is brought to you by: C&G Holsters (Code: WLSISLIFE) Gideon Optics (Code: WLSISLIFE) Rost Martin (Code: WLSISLIFE) Night Fision (Code: WLSISLIFE) Blue Alpha Second Call Defense Text Dear WLS or Reviews +1 743 500 2171  Public   Show Titles   GOA GOALS Aug 1-2 in Iowa. https://goals.goa.org/ GunCon.net Tickets on sale now. Use code AGENCY171 DEAR WLS Question from OopsieDaisy from California For double tap by OopsieDaisy I've been listening to a lot of old episodes and started the book One Second After, a book Jeremy talked about and holy fuck it's good. Since an EMP would wreck all of the electronics in vehicles, what EMP-safe vehicle would you guys choose to take into an EMP ridden world? You have 10 grand to spend. Go. Question from Mike in NH 1st: quick positive review for C&G, I've been carrying my CSX-E series in a Covert for a month now, so great. Thank you to Chris and company 2nd: At what point does a used pick up become too nice/collectible to use/carry? I recently purchased a S&W 640-2. I didn't know anything about it apart from it was in excellent condition, and that it was pre-Lock. I thought it was weird for a steel J-frame to be 38spl only. It turns out the -2 was only made 1997-99 for NYPD as an approved back-up/off duty weapon. So it's kind of rare. Thanks for the opinions and the great shows. -Mike in NH Question from Duke of Crude from Texas Duke of Crude Hey fam, Thanks for reading my question on episode 449 about carry guns and meth country. My definition for meth country is either: 1. Urban sprawls (ex. Tulsa, Memphis) where hard drug use is prevalent 2. Rural areas (ex. West Virginia) where high poverty creates new hard drugs and users But going back to my question on 44 special in particular. Why does no one make a 44spc+P? I was looking for something like 1000-1200 fps 200gr out of a 4in barrel and I could not find any factory loads or even Underwood ammo that makes +P rounds. I have a 329PD that I like, but you will snap your wrist before you get through an entire cylinder of factory load 44 magnum. I was looking at that new s&w nightguard 396 but with my mind blown on how anemic 44 special is, I think I might have to pass. Do ya ll have any recommendations on 44mag/ special revolvers for EDC carry? Question from amonymous texas from coward from Texas Where can I find ammo to fight robots? There's a company called roborounds (roborounds.com if you are not familiar) that has a lot of cool bullets you can fire from standard firearms. For instance one fragments iron filings to short out circuit boards and another one creates a localized EMP on impact. The fucking robots are coming and I need this ammo, but I can't find a place to buy it. I see a few online retailers who used to carry it. I tried contacting them and they won't get back to me. Probably because I'm a nobody. If these guys are done, is anyone else making anything similar? Second related question: what about drone defense rounds? They had some cool stuff for 12 ga shells, but I have seen similar stuff from other companies. Are there any specific ones you know of or recommend? -amonymous texas from coward Question from Anonymous Coward from Oregon From No one Your printers are always running. What are you guys printing? Except Jeremy. He don't mess with that nerd shit. Question from Jon W from Washington Jon W I unfortunately live behind enemy lines in Washington state. Years ago when they first became sponsors, I took you up on your advice and signed up for Second call Defense and felt reassured that they had my back if the worst day ever happened. Since that time, our now turd Ferguson governor who used to be the Attorney General made having said insurance illegal in Washington. My question is hypothetically if a person had a close relative in another state could they sign up for Second Call Defense Using that address? They have said that they cover people that are signed up even if an incident occurs in a state like Washington, New York and I forget the other states that think it's murder Insurance. Your wisdom is greatly appreciated Keep up the good work! #wlsislife GUN INDUSTRY NEWS Bond Arms Snake Slayer (BASS) The Bond Arms Snake Slayer is a compact double-barrel derringer designed as an outdoor companion, chambered in .357 Mag/.38 Spl and .45 LC/.410. It features a stainless steel frame with a 3.5-inch barrel, extended rosewood grips, fixed sights, and a 2-round capacity. Key mechanisms include a rebounding hammer, cross-bolt safety, and compatibility with all standard Bond Arms barrels. Q Tall Boy Silencer Q has introduced the Tall Boy, a .30 caliber all-steel silencer optimized for maximum suppression on subsonic .300 Blackout via extended internal architecture that slows, cools, and manages gases for reduced exit pressure. It features a refined baffle structure for consistent performance across cartridges, full-auto rating, and Cherry Bomb/REAREND compatibility. The design prioritizes durability and long-term reliability without unnecessary complexity. Cabot Guns Apex Jurassic 1911 Cabot Guns has produced the Apex Jurassic 1911, a one-of-a-kind precision-engineered Government-size 1911 pistol crafted from Damascus steel, carbon steel, and genuine extraterrestrial meteorite. It features a unique ‘fossil' Damascus pattern resembling a sedimentary fossil bed, hand engraving depicting a Raptor archaeological dig site with 24kt gold inlay, Bulino-engraved Raptor vignette, and grips and trigger incorporating actual meteorite. The custom carbon-steel frame has a Fire and Ice rustic patina finish, with small parts in brushed bronze PVD; this art pistol appears to have already been sold. Berger 217 Grain Elite Hunter .300 PRC Load Berger has released a new .300 PRC ammunition load featuring the 217-grain Elite Hunter bullet with a hybrid ogive profile, G1 BC of 0.702 (G7 0.347), optimized for long-range hunting. It achieves 2,400 FPS muzzle velocity from a 24-inch barrel and retains over 2,500 foot pounds of energy past 300 yards. The load requires a 1:10 or faster twist rate. Palmetto State Armory PSA Sabre Builder Kits Palmetto State Armory announces the return of PSA Sabre Builder Kits as a permanent catalog offering on the AR-15 mil-spec platform. These include complete builder sets, upper receivers, lower receivers, handguards in multiple lengths, and individual components with Cerakote options like Champagne, Titanium Blue, Black, Burnt Bronze, FDE, and Moss Green. The sets launch on May 8 at 4:30 PM EST via Palmetto State Armory. Q Tall Boy Suppressor Q has released the Tall Boy, a .30 caliber suppressor designed for maximum suppression of subsonic .300 BLK using extended internal architecture and steel construction to optimize gas management. It measures 10 inches long, weighs 19.5 ounces, and is full-auto rated with no barrel restrictions. The Tall Boy integrates with Q's QD ecosystem via Cherry Bomb / REAREND mounts and is available now through Q dealers. Modlite Noxon Havok Weapon Light The Modlite Noxon Havok is a new rifle-mounted weapon light series offering premium performance at an affordable price, available in Core (18650 battery) and Mini (18350 battery) sizes with G1 (1350 lumens, 54,000 candela) or T1 (680 lumens, 69,000 candela) emitters. Constructed from 6061 aluminum with Mil-Spec hard anodizing and BOROFLOAT lens, it features a fully potted light engine tested for SCAR 17 recoil and compatibility with scout-pattern mounts, tailcaps, and switches. Released around May 2025 following SHOT Show debut, it provides runtimes of 75 minutes (Core) or 35 minutes (Mini). Walker's Razor Junior Muffs Walker's has launched the Razor Junior Muffs, youth-sized compact electronic ear muffs designed for smaller head sizes with an NRR of 23dB. These muffs feature dual Hi-Gain omnidirectional microphones, full dynamic range HD speakers, low-noise frequency-tuned circuitry, and 0.02-second sound-activated compression for hearing protection and sound enhancement. The product uses sound-dampening composite housing, a padded headband with metal wire frame, and recessed volume controls for durability and usability in range or field settings. Before we let you go – JOIN GUN OWNERS OF AMERICA We'd love if you supported the show, join Agency 171 at agency171.com. Lot's of prizes, rewards and kick ass swag. No matter how tough your battle is today, we want you here fight with us tomorrow. Don't struggle in silence, you can contact the suicide prevention line by dialing 988 from your phone. Remember – Always prefer Dangerous Freedom over peaceful slavery. We'll see you next time! Nick – @busbuiltsystems | Bus Built Systems Jeremy – @ret_actual | Rivers Edge Tactical Aaron – @machinegun_moses Savage – @savage1r Shawn – @dangerousfreedomyt | @camorado.cam | Camorado

Our listeners can buy one prescription pair and get 20% off additional pairs at http://WarbyParker.com/FRIENDS — and using our link helps support the show. -- Get up to $200 off Square hardware when you sign up at http://square.com/go/FRIENDS -- Head to https://buyraycon.com/friendsOPEN to get up to 15% off Raycon audio products this holiday season. Thanks to Raycon for sponsoring FPS! -- Try HelloFresh at https://www.hellofresh.com/fps10fm with code fps10fm to get 10 free meals + a free breakfast for life! Thanks to HelloFresh for sponsoring FPS! -- Timestamps: 00:00 Intro 02:25 Starfox 2026 Discussion 14:25 Steam Controller Discussion 27:33 Square (ad) 30:12 Warby Parker (ad) 33:34 Mixtape Interview with Johnny Galvatron and Woody Woodward 49:54 Mixtape Discussion 01:03:40 User Question 01:09:10 Raycon (ad) 01:11:23 Hello Fresh (ad) 01:13:55 Jake's Thoughts on 007 First Light 01:27:15 Ralph's Been Playing POE 2, Diablo IV, and AC Black Flag (original) 01:42:41 Lucy's Been Playing Dead as Disco 01:44:54 Show and Tell 02:02:11 Wrap Up -- If you wanna check out our newsletter, you can do so here: https://friendspersecond.substack.com/ Listen to the Friends Per Second Podcast on your favourite podcast platform: https://linktr.ee/friendspersecond Follow on Instagram: https://www.instagram.com/friendspersecond -- Let's meet our hosts! - Jake Baldino (aka the Before You Buy Guy) is pretty much the most watched reviewer on YouTube across both Gameranx and his personal channel (https://www.youtube.com/c/JakeBaldino). If you're obsessed with Delorians, The Mummy and Pizza you can discuss that stuff with him directly over on Twitter: @JakeBaldino - Lucy James is a Senior Producer at Gamespot. She's actually, like, experienced and credentialed and has real life skills and stuff, while the rest of the gang would be funemployed if the YT algorithm didn't kiss them for random, inexplicable reasons. - Skill Up used to work at McDonalds but he got fired for skimming too many chicken nuggets. He says he regrets it since he hasn't had a better job since. Learn more about your ad choices. Visit megaphone.fm/adchoices

Gray Zone Warfare | Battlefield | Bellum | More FPS News #podcast #gaming #fps Welcome to "The Scope," your ultimate FPS gaming podcast! Join us for the latest news, trends, and updates in the world of First Person Shooters. Whether you're a seasoned player or just starting out, our passionate hosts cover everything from new releases to gaming strategies. Dive into the action-packed universe of FPS games with us!Buffnerd GamingChannel: https://www.youtube.com/channel/UCUv67t-1w4i5NJhG3T1vtmgTwitter: https://twitter.com/BuffNerdGaming1BlueTheRobot: Channel: https://www.youtube.com/c/BlueTheRobotTwitter: https://twitter.com/bluetherobotCrash:Discord: https://discord.gg/4HZxRx3MkFTwitch: https://www.twitch.tv/crash8 Twitter: https://twitter.com/fps_crashPodcast: https://redcircle.com/shows/the-scope

Welcome to Dev Game Club, where this week we complete our series on Dungeon Keeper. We talk about the various strategies we used to overcome some levels, possession, and units as resources of different kinds before turning to our takeaways. Also: Happy Birthday, Peter Molyneux! Dev Game Club looks at classic video games and plays through them over several episodes, providing commentary. Sections played: To level 11 (B) or 10 (T) Issues covered: a Happy Birthday message, favorite moments in his games, a punishing campaign of distinct levels, feeling the puzzle, the dungeon crawl aspect of the game, trying many different strategies, playing against what the AI will do, disrupting the enemy, exploratory sacrifice for fun and profit, possessing the Horned Reaper and taking out the heart, strategies for moving around quickly, a diversion into the scavenger room, strategy guides and marketing, first-person mode, all the information about creatures, mood changes, exploiting FPS strategies, cheating and fairness for the AI, creatures as resources for tech trees or for combat, disposable units vs conserving units, playing and failing at various strategies, a non-normal catalog, merging genres, potential, supporting the villian theme, do most players finish Bullfrog games, audio design. Games, people, and influences mentioned or discussed: Peter Molyneux, Theme Park, Populous, Glenn Corpes, Mark Healey, Masters of Albion, Lionhead, Tomb Raider, The Descent, World of Warcraft, MysteryDip, Soren Johnson, Black and White, Starcraft, Homeworld, Fable, Majora's Mask, Evil Genius, Hitman (obliquely), Spelunky, Kirk Hamilton, Aaron Evers, Mark Garcia.  Next time: Not sure! Twitch: timlongojr and twinsunscorp YouTube Discord DevGameClub@gmail.com 

For years, we viewed the lifestyle as our chance to experience true freedom. But we've come to realize we were really using it as a form of distraction and escapism. In this episode, we get VERY honest about how chasing validation and excitement left us feeling emptier than ever. A darker side of ENM that others wouldn't dare to tell you about... And how we're fixing it now! Join us for an upcoming event, including Hotwife Palooza: https://members.frontporchswingers.com Up your fitness and wellness game with a free consultation at https://revitaglowmeds.com Try Shivers gummies at a 15% discount! Use code FPS at https://shivers.store Get a FREE month of Kasidie access. Click on the Kasidie banner at https://frontporchswingers.com Join us for bonus episodes of the show at https://patreon.com/frontporchswingers  

Shooters are a genre that I don't play a ton of this show.  There not my favorite, but I do enjoy a good FPS.  This is one that i played years ago and stuck with me how amazing it was.  This is my first time revisiting Titan Fall 2 since then.  Not remembering a game can be a great thing, sometimes.  I was able to replay this masterpiece and be surprised by all the cool set pieces.  Join us as hop into our Titans to relive this game that deserved a sequel.  Starring Mike Albertin, Phoebe Stanton, Joseph Larrey, Nate, John, and Emanuel.  Nate's Blue Sky - https://bsky.app/profile/palletjackingames.bsky.social?fbclid=IwY2xjawNMFDRleHRuA2FlbQIxMABicmlkETEyd1U1RGo2TGNxVHc3STJQAR5_lnihJSIcmnl7_VSETCddTYtAXMkcejaRwrhDUsF96JQ32U07jjkTYlNPjg_aem_SMcadJ7R6WfgB7rZGmS-Sw Emanuel's Twitch - https://www.twitch.tv/commanderlionheart A Gamer Looks at 40 - https://agamerlooksat40.com/ Carrying My Cross - https://podcasts.apple.com/pl/podcast/carrying-my-cross-a-faith-journey-podcast/id1865524685 Phoebe's Twitch - https://www.twitch.tv/theletsplayprincess Phoebe's Podcast - https://nerdsabroadcast.podbean.com/ Zac's Podcast - https://linktr.ee/absolutelythebest Helena - https://linktr.ee/helhathfury Patreon - https://www.patreon.com/GamesMyMomFound Follow us on Facebook. Instagram - gamesmymomfound_ YouTube  - https://youtube.com/c/GamesMyMomFoundPodcast Discord - https://discord.gg/

Linktree: ⁠⁠https://linktr.ee/Analytic⁠⁠Join The Normandy For Ad-Free NME, Additional Bonus Audio And Visual Content For All Things Nme+! Join Here:⁠⁠ ⁠⁠https://ow.ly/msoH50WCu0K⁠⁠In this segment of Notorious Mass Effect, analytic dreamz delivers a full deep dive into MOUSE: P.I. For Hire, the 1930s noir-inspired boomer shooter from Fumi Games and PlaySide Studios. Released April 16, 2026, the game stars Troy Baker as Jack Pepper, a hard-boiled mouse detective in Mouseburg, blending rubber-hose animation, big-band jazz, and fast-paced FPS gameplay inspired by Doom and BioShock.analytic dreamz breaks down the 24-mission campaign, hybrid investigation and arena combat, weapon upgrades across 12 guns including the Tommy Gun and Boomstick, and the innovative hybrid rendering using over 54,000 hand-drawn sprites. The segment covers performance across PC, PS5, Xbox Series X/S, and Nintendo Switch 2, launch sales of 360,000 units, critical reception including OpenCritic 83 and Steam Overwhelmingly Positive, plus community debates around tone and narrative consistency.From core loop and RPG-lite progression to technical details and replay value, this segment offers a complete breakdown of one of 2026's standout indie action games. Privacy & Opt-Out: https://redcircle.com/privacy

As attendees of MANY events over the years, we've seen it all when it comes to group play. And while some of it has clearly been fun and consensual for all, other instances had us questioning if group play rooms are the "perfect" place for predatory behavior...  Let's schedule your free peptide and hormone call today at https://revitaglowmeds.com Get 15% off your first order of Shivers gummies with code FPS at https://shivers.store Try Kasidie FREE for a month! Click on the Kasidie banner at https://frontporchswingers.com Join us for an upcoming event: https://members.frontporchswingers.com  

Mike and Tyler talk their FPS tier list, Mike makes some corrections, and they discuss TV/Movies as video games. The theme music is by RoccoW. The logo was created by Dani Dodge.

Welcome to episode #271 of The COD Casuals, where we discuss all things Call of Duty, casual and professional!In this episode, we start off with the confirmation that we will be seeing a COD movie in the near future, and what this means for the series. Set to release in 2028, we give some thoughts and theories as to why they have decided to make COD into a movie, and what their hopes are with the outcome from it to support their game. We break down the potential ideas they could have with COD 2028, as well as if it will be successful or not. We then shift to some of the decline that's been seen in FPS games across the board, as hackers have now ruined Arc Raiders and ranked play for BO7. This will lead players onto new games, constantly chasing the next best game. We give our thoughts on this movement as a whole, and how we feel the game industry has led to games feeling “disposable” as years have gone on. We finally end with some CDL news updates and changes, as we head into the first minor tournament of Major 3, getting a first look at the top teams in the league. What do you think of the COD movie announcement? Are you excited for this, or more worried? What do you think Activision hopes to achieve with this movie, and do you think they'll be successful? Do you agree with our assessment of the gaming industry and there being too many games to choose from? Finally, what do you think of the competition in the CDL right now after Major 3? Do lots of teams need to make changes, or wait until after Major 3?  Please let us know as we discuss this and much more! Hope you all enjoy the episode and we'll see you next week.Join the Discord!⁠https://discord.gg/XjBWUj4KtVFollow us:Twitter: ⁠⁠@TheCODCasuals⁠⁠Instagram: ⁠⁠@TheCODCasuals⁠⁠TikTok: ⁠⁠@TheCODCasuals⁠⁠Contact us:Business Inquiries: TheCODCasuals@gmail.com

Try HelloFresh at https://www.hellofresh.com/fps10fm with code fps10fm to get 10 free meals + a FREE Nutribullet Ultra +2-in-1 Compact Kitchen System on your 3rd box. Thanks to HelloFresh for sponsoring FPS. -- Timestamps: 00:00 Intro 05:49 Xbox News 26:48 Hello Fresh (ad) 29:14 Interview with Saros Creative Director Gregory Louden 50:16 Jake and Ralph Have Been Playing Saros 01:05:23 Ralph's Been Playing Diablo IV: Lord of Hatred 01:11:05 Everyone's Been Playing Pragmata 01:21:31 Lucy's Been Playing Vampire Crawlers, The Expanse Osiris Reborn, and Titanium Court 01:39:02 Interview with Titanium Court Creator AP Thomson 02:00:57 Show and Tell 02:10:02 Wrap Up -- If you wanna check out our newsletter, you can do so here: https://friendspersecond.substack.com/ Listen to the Friends Per Second Podcast on your favourite podcast platform: https://linktr.ee/friendspersecond Follow on Instagram: https://www.instagram.com/friendspersecond -- Let's meet our hosts! - Jake Baldino (aka the Before You Buy Guy) is pretty much the most watched reviewer on YouTube across both Gameranx and his personal channel (https://www.youtube.com/c/JakeBaldino). If you're obsessed with Delorians, The Mummy and Pizza you can discuss that stuff with him directly over on Twitter: @JakeBaldino - Lucy James is a Senior Producer at Gamespot. She's actually, like, experienced and credentialed and has real life skills and stuff, while the rest of the gang would be funemployed if the YT algorithm didn't kiss them for random, inexplicable reasons. - Skill Up used to work at McDonalds but he got fired for skimming too many chicken nuggets. He says he regrets it since he hasn't had a better job since. Learn more about your ad choices. Visit megaphone.fm/adchoices

Perfect Dark talk starts at 45:00.Eric and Michael discuss the first half of Perfect Dark, the Rare N64 Classic that lives between the shadow of two monumental games of the FPS genre: Goldeneye and Halo. Does Perfect Dark earn its place as the 7th highest rated game on Metacritic, or is it the victim of a rapidly changing genre?We also talk about selling Metroid Prime 4: Beyond to buy better games, if Exodus or The Expanse has the juice to be the next Mass Effect, and......Hello Kitty Island Adventure?Next Episode: We finish Perfect DarkFollow @StateOfTheSave on Instagram and Bluesky for updates, and catch streams, clips, and highlights on YouTube, Twitch, and TikTok. Subscribe and leave a review—every rating helps more listeners discover the show.Timecodes:0:00 - Intro4:00 - Metroid Prime 4: Beyond15:25 - Hello Kitty Island Adventure18:10 - The Witcher 327:10 - Metro 203932:23 - Exodus and The Expanse45:00 - Perfect DarkMusic:Jungle Mood — Peyruis [Audio Library Release]Music provided by Audio Library PlusWatch: ⁠⁠⁠⁠⁠⁠⁠⁠https://youtu.be/AE4AWGTNa-A⁠⁠⁠⁠⁠⁠⁠⁠Free Download / Stream: ⁠⁠⁠⁠⁠⁠⁠⁠http://alplus.io/JungleMood⁠⁠⁠⁠⁠⁠⁠⁠Metro — Scandinavianz [Audio Library Release]Music provided by Audio Library PlusWatch: ⁠⁠⁠⁠⁠⁠⁠⁠https://youtu.be/NPKwINq8D_4⁠⁠⁠⁠⁠⁠⁠⁠Free Download / Stream: ⁠⁠⁠⁠⁠⁠⁠⁠https://alplus.io/metro⁠⁠⁠⁠

Gray Zone Warfare spearhead, Fragmentary Order | Battlefield | Bellum | More FPS News #podcast #gaming #fps Welcome to "The Scope," your ultimate FPS gaming podcast! Join us for the latest news, trends, and updates in the world of First Person Shooters. Whether you're a seasoned player or just starting out, our passionate hosts cover everything from new releases to gaming strategies. Dive into the action-packed universe of FPS games with us!Buffnerd GamingChannel: https://www.youtube.com/channel/UCUv67t-1w4i5NJhG3T1vtmgTwitter: https://twitter.com/BuffNerdGaming1BlueTheRobot: Channel: https://www.youtube.com/c/BlueTheRobotTwitter: https://twitter.com/bluetherobotCrash:Discord: https://discord.gg/4HZxRx3MkFTwitch: https://www.twitch.tv/crash8 Twitter: https://twitter.com/fps_crashPodcast: https://redcircle.com/shows/the-scope

This week on Next Portable Console, TrimUI's slow drip of details on the Brick Pro continues, shipping manifests suggest the Steam Controller may beat the Steam Machine to market, and OnePlus makes a strong bid for weirdest handheld announcement of 2026. Also available on YouTube here. Links and Show Notes The Latest Portable Gaming News The TrimUI Brick Pro nears official release with packaging revealed ONEXPLAYER teases X2 Mini handheld with Ryzen AI Max+ 395 and 8.8-inch OLED Shipping manifest leak suggests Steam Controller launch is imminent Lenovo teasing larger Legion Tab gaming tablet OnePlus reportedly developing an Android gaming handheld targeting FPS games with purple faux leather grips Subscribe to NPC XL NPC XL is a weekly members-only version of NPC with extra content, available exclusively through our new Patreon for $5/month. Each week on NPC XL, Federico, Brendon, and John record a special segment or deep dive about a particular topic that is released alongside the "regular" NPC episodes. You can subscribe here: https://www.patreon.com/c/NextPortableConsole Leave Feedback for John, Federico, and Brendon NPC Feedback Form Credits Show Art: Brendon Bigley Music: Will LaPorte Follow Us Online On the Web MacStories.net Wavelengths.online Follow us on Mastodon NPC Federico John Brendon Follow us on Bluesky NPC MacStories Federico Viticci John Voorhees Brendon Bigley Affiliate Linking Policy

Punch a N*zi month is back! Three new games all about punching some goddam fascists are being covered and to kick it off I am joined by returning guest, Dave Pietrangelo from Remember 64, to talk about the sequel to the OG FPS game. We are having fun storming the castle with Return to Castle Wolfenstein.  Return to Castle Wolfenstein was the first true sequel of the original Wolfenstein 3D since that game had an expansion but not a full-on sequel. Thankfully, even though this game wasn't developed by ID, it is freaking great. This game sticks to a simple FPS formula but it really works. Dave and I had a ton of fun chatting about this one and if you haven't played it yet go punch some N*zis and give it a try. Support Democracy Forward HERE Follow Dave on Bluesky HERE Checkout Remember 64 HERE Shout-out Song: Cripts & Catacombs (Remix Version) Artist: Antal Dávid Original Composer(s): Bill Brown Album: N/A https://www.youtube.com/watch?v=HqBoblBwDMU End Song: Doomsday Artist: Robert Slump Original Composer(s): N/A Album: N/A https://robertslump.bandcamp.com/track/doomsday Check out the Bit by Bit Foundation! https://www.bitbybitfoundation.org/ Support the Podcast! https://www.patreon.com/stillloadingpod Want to buy some Still Loading merch? https://www.teepublic.com/user/still-loading-podcast

Linktree: ⁠⁠https://linktr.ee/Analytic⁠⁠Join The Normandy For Ad-Free NME, Additional Bonus Audio And Visual Content For All Things Nme+! Join Here:⁠⁠ ⁠⁠https://ow.ly/msoH50WCu0K⁠⁠Analytic Dreamz Reacts To METRO 2039 | Official Reveal TrailerAnalytic Dreamz reacts to the official reveal trailer for METRO 2039, the next mainline entry in the acclaimed post-apocalyptic FPS series from 4A Games and Deep Silver. Set in the dark heart of the Moscow Metro in 2039, this new chapter follows the last survivors of nuclear apocalypse as they cling to existence in the tunnels and subways of a ruined city.In this in-depth reaction segment, Analytic Dreamz breaks down the cinematic trailer moment by moment, exploring its intense atmosphere, shocking story elements, hidden details, and first glimpses of heart-pounding gameplay and cinematics. From the bleak future and moral conflicts to the signature immersive storytelling that defines the Metro franchise, Analytic Dreamz delivers raw first impressions and analysis on what this winter 2026 release means for fans of story-driven single-player shooters.Tune in as Analytic Dreamz dives deep into the darkest Metro story yet, covering everything from the nuclear wasteland survival themes to the return of the series' signature tension and craftsmanship. Whether you're a longtime follower of Artyom's journey or new to the tunnels, this segment delivers unfiltered reactions and insights you won't want to miss.Privacy & Opt-Out: https://redcircle.com/privacy

The first-person shooter genre boasts a rich lineup of incredible titles, yet over the years, many players have begun to feel that these games have become increasingly repetitive and predictably similar. Recognizing this fatigue, Fumi Games and PlaySide Studios aimed to bring something fresh to the table with their latest indie-developed FPS, MOUSE P.I. FOR HIRE. This game stands out with its unique blend of 1930s rubber hose animation style and detective noir storytelling, offering a distinctive visual and narrative experience. But does it have the depth, gameplay innovation, and engaging mechanics necessary to compete with more established FPS titles in the genre? Or does it simply serve as a nostalgic, black-and-white homage that leaves players wanting more? Let's explore what makes MOUSE P.I. FOR HIRE a noteworthy addition to the indie FPS scene and whether it lives up to the hype.(Music Provided by:)Covert Affair - Film Noire by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100795Artist: http://incompetech.com/

It's become one of the buzz phrases in the lifestyle: It should be about you as a couple. Do the things that bring you closer together as a couple. While we understand this concept, it does have us questioning.... When is it ok to be a little selfish in the lifestyle? And more importantly, when can that selfishness go a little too far?  Get 15% off our favorite pleasure-enhancing gummies with code FPS at https://shivers.store Schedule a call to get started on your peptide journey today! https://revitaglowmeds.com Join us for an upcoming event: https://members.frontporchswingers.com Try Kasidie FREE for a whole month! Click on the Kasidie banner at https://frontporchswingers.com  

Head to https://buyraycon.com/friendsOPEN to get 20% off. Thanks to Raycon for sponsoring FPS! -- Try Factor at https://www.factormeals.com/fps50off with code fps50off to get 50% off and free daily greens per box, new subscription only. Thanks to Factor for sponsoring FPS! -- Timestamps 00:00:00 Intro 00:16:34 Mario Galaxy Movie Review 00:33:44 PS5 Price Hikes 00:55:25 Raycon (Ad) 00:57:48 Factor (Ad) 01:00:32 User Question 01:08:27 Samson Review 01:19:09 I Am Just Christ Review 01:26:35 Forza Horizon 6 Impressions 01:35:09 Raccoin Impressions 01:37:28 Fishbowl Impressions 01:39:48 Fix Force Impressions 01:42:06 Neverway Impressions 01:45:50 Lenovo Legion Go S Impressions 01:53:41 Show & Tell -- If you wanna check out our newsletter, you can do so here: https://friendspersecond.substack.com/ Listen to the Friends Per Second Podcast on your favourite podcast platform: https://linktr.ee/friendspersecond Follow on Instagram: https://www.instagram.com/friendspersecond -- Let's meet our hosts! - Jake Baldino (aka the Before You Buy Guy) is pretty much the most watched reviewer on YouTube across both Gameranx and his personal channel (https://www.youtube.com/c/JakeBaldino). If you're obsessed with Delorians, The Mummy and Pizza you can discuss that stuff with him directly over on Twitter: @JakeBaldino - Lucy James is a Senior Producer at Gamespot. She's actually, like, experienced and credentialed and has real life skills and stuff, while the rest of the gang would be funemployed if the YT algorithm didn't kiss them for random, inexplicable reasons. - Skill Up used to work at McDonalds but he got fired for skimming too many chicken nuggets. He says he regrets it since he hasn't had a better job since. Learn more about your ad choices. Visit megaphone.fm/adchoices

Hey Podtimists,This week David digs a hole and Chase builds a machine. We also took a deeper look at the strange PS2 era FPS game, Mace Griffin Bounty Hunter. It was a hoot!---Timestamps:(0:00) - Intro(4:50) - What David has been playing(5:26) - Teenage Mutant Ninja Turtles Shredders Revenge(14:48) - Baldur's Gate 3(22:54) - A Game About Digging A Hole(32:29) - What Chase has been playing(32:46) - Metal Max 2 Reloaded(42:41) - Modulus Factory Automation(50:56) - Chase's Podtimistic thing of the week(53:03) - David's Podtimistic thing of the week(58:32) - Good Games! Featuring Mace Griffin(59:08) - Manga Minute(1:01:56) - Back to Good Games(1:20:43) - Outro---Games mentioned: Teenage Mutant Ninja Turtles Shredder's RevengeBaldur's Gate 3A Game About Digging a HoleMetal Max Reloaded 2Modulus Factory AutomationMace Griffin Bounty Hunter

Now Steam will rate your system for the expected FPS on a title, nice?!  Raptor Lake (13th / 14th Gen) still a big part of the Intel strategy, Ryzen 9950X3D pricing, and hackers are probably in your router right now.  Also fiber optic cables can be microphones.  Your older Kindle is trash plus so much more on this show!  Take a listen, you will probably not be disappointed often.   Welcome back to our sponsor Zapier!  It's how you bring the power of AI to your work—not just talk about it.Timestamps:0:00 Intro0:57 Patreon4:10 Food with Josh7:20 The 900 dollar Ryzen processor10:37 Raptor Lake still big part of Intel's plan12:41 Intel also focused on foundry16:20 Steam will estimate your game FPS before purchase?17:20 Memory prices high? Just compress your VRAM21:49 Every PC component is getting more expensive25:46 Apple Silicon Macs get some eGPU support27:29 Apple is gaining a surprising amount of marketshare30:32 Amazon stops supporting Kindles from before 201334:34 Artemis II astronauts having Outlook issues37:25 Podcast sponsor - Zapier39:02 (In)Security Corner49:45 Gaming Quick Hits1:05:11 Picks of the Week1:13:45 Outro ★ Support this podcast on Patreon ★

Gray Zone Warfare spearhead, Road to Vostok | Operator | Bellum | More FPS News #podcast #gaming #fps Welcome to "The Scope," your ultimate FPS gaming podcast! Join us for the latest news, trends, and updates in the world of First Person Shooters. Whether you're a seasoned player or just starting out, our passionate hosts cover everything from new releases to gaming strategies. Dive into the action-packed universe of FPS games with us!Buffnerd GamingChannel: https://www.youtube.com/channel/UCUv67t-1w4i5NJhG3T1vtmgTwitter: https://twitter.com/BuffNerdGaming1BlueTheRobot: Channel: https://www.youtube.com/c/BlueTheRobotTwitter: https://twitter.com/bluetherobotCrash:Discord: https://discord.gg/4HZxRx3MkFTwitch: https://www.twitch.tv/crash8 Twitter: https://twitter.com/fps_crashPodcast: https://redcircle.com/shows/the-scope

You're gonna need your crowbar to break into this episode. Today the co-op series takes a look back at Gordon Freeman's first adventure in Half-Life (1998). Conner is joined by fellow physicists turned action stars Michael Hearn, Garrett Morlang, and Kristin Thorson to have a discussion about this wildly influential FPS classic. Show Notes Michael Hearn - Bluesky Garrett Morlang - Instagram Kristin Thorson - Bluesky - Twitch Conner McCabe – Bluesky Produced, Edited, and Original music by Jeremy Schmidt Call Me By Your Game – Instagram - Bluesky – YouTube - TikTok Super NPC Radio – Patreon - Discord - Bluesky – Instagram – Twitch

Head to https://buyraycon.com/friendsOPEN to get 20% off. Thanks to Raycon for sponsoring FPS! -- Try HelloFresh at https://www.hellofresh.com/fps10fm with code fps10fm to get 10 free meals + a FREE Zwilling Knife (a $144.99 value) on your third box. Thanks to HelloFresh for sponsoring FPS! -- Timestamps: 00:00 Update Day / Movie Talk 07:44 Ralph's New Setup and Kojima Beef 12:23 Crimson Desert Discussion 49:02 Raycon (ad) 51:51 Interview With Kliff (Alec Newman) and Duane (Alex Jordan) From Crimson Desert 01:20:01 Hello Fresh (ad) 01:22:18 User Question 1 01:27:59 User Question 2 01:36:43 Lucy's Been Playing Pokemon Pokopia 01:42:57 Jake's Been Playing Screamer 01:48:04 Lucy's Been Playing Oh My AI and The Sims 01:59:14 What's Coming Out Soon 02:06:09 Show and Tell 02:15:15 Wrap Up -- If you wanna check out our newsletter, you can do so here: https://friendspersecond.substack.com/ Listen to the Friends Per Second Podcast on your favourite podcast platform: https://linktr.ee/friendspersecond Follow on Instagram: https://www.instagram.com/friendspersecond -- Let's meet our hosts! - Jake Baldino (aka the Before You Buy Guy) is pretty much the most watched reviewer on YouTube across both Gameranx and his personal channel (https://www.youtube.com/c/JakeBaldino). If you're obsessed with Delorians, The Mummy and Pizza you can discuss that stuff with him directly over on Twitter: @JakeBaldino - Lucy James is a Senior Producer at Gamespot. She's actually, like, experienced and credentialed and has real life skills and stuff, while the rest of the gang would be funemployed if the YT algorithm didn't kiss them for random, inexplicable reasons. - Skill Up used to work at McDonalds but he got fired for skimming too many chicken nuggets. He says he regrets it since he hasn't had a better job since. Learn more about your ad choices. Visit megaphone.fm/adchoices

Cohh is on vacation so this week JP and Zeke are joined by Pro-gamers DatModz and Shroud! Before getting into the games we realize how young Shroud is to everyone's despair. Then we get down and dirty with Marathon, a very good game that may be too hard for the average player. Will that hinder the game long term? Then we go deep with our time with Crimson Desert, a weirdo game for the true freaks out there! 0:00 - Intro1:00 - Disneyland3:20 - Games while podcasting5:30 - Epic Games laying off 1000 people14:30 - Sony raises price of PS5 and Pro20:00 - Star Wars XCOM23:50 - Borderlands 433:20 - DLSS5 slop36:00 - Warhorse Studios switching to AI translation47:10 - Viewbotting1:00:30 - Marathon deep dive1:34:40 - Steam chart andy1:35:55 - Last Epoch1:48:50 - Crimson Desert2:34:00 - WoW2:43:00 - Quarantine Zone2:50:00 - Hellmart3:00:10 - The next big FPS game by Shroud3:09:25 - ShoutoutsSee omnystudio.com/listener for privacy information.

Marathon has been running laps around our minds these last few weeks, so this week on The Game Informer Show, we brought on our good pal Jesse Vitelli from Restart.run to discuss Bungie's extraction shooter, and how it's shaping up in a crowded field.After that, Charles asks the group: what are the games of spring? We explore the concept, from imagery and aesthetic to pure vibes-based selections. I promise, you'll be surprised by at least a few picks. All this and more on The Game Informer Show this week, so grab a cold drink and tune in!The Game Informer Show is a weekly podcast covering the video game industry. Join us every Friday for chats about video game reviews, news, and exclusive reveals alongside Game Informer staff and special guests from around the industry.Use the timestamps to jump around:00:00 - Intro04:02 - Marathon42:25 - Spring Games