Podcasts about Kling

AI-powered video tools have made glossy production values a commodity, so what's left to set your brand apart? In this punchy episode, host Guy Bauer (founder & creative director of Umault) serves up a hard truth: entertaining your audience is now non-negotiable. Guy unpacks how next-gen platforms like Veo 3, Kling 2.1, and a flood of other text-to-video engines have leveled the playing field. Anybody can crank out a slick 30-second spot with “people laughing at sinks” (listen to the episode for this to make sense), holographic dashboards, and a generic voice-over. The result? Those once-premium visuals are just table stakes. Drawing on a tongue-in-cheek cybersecurity ad he generated in seconds, Guy illustrates why story, and genuine viewer delight, are the new differentiators. Whether you're an in-house B2B marketer, agency lead, or brand storyteller, you'll leave with a clear mandate: stop blending in and start delivering value within the ad itself. Listen for a dose of reality, a spark of inspiration, and a challenge to make your next video ad impossible to ignore.

Vuelven el ludismo y el mangacortismo Únete al club social de monos estocásticos en Telegram 0:00 División en el mangacortismo veraniego 5:05 El impresionante crecimiento de Waymo 12:01 Ya llega Elon con su Cybercab 15:37 Lo último en la suite Freepik: Flux Kontext 18:43 DeepSeek sigue haciendo virguerías 23:03 Acuerdos Samsung-Perplexity, Telegram-xAI 30:21 El resurgir del ludismo con la IA, caso Duolingo 41:08 Meta automatizando toda la publicidad 47:52 Acuerdo de las discográficas con Suno y Udio 53:40 El New York Times sí tiene un precio 55:42 Zuck le vende el metaverso al Pentágono 1:01:40 Puerta grande o enfermería 1:16:18 Canción de cierre Patrocinador: Flux Kontext es sin duda el lanzamiento de la semana y lo tienes desde el primer momento disponible en la suite de IA de Freepik junto con Kling 2.1 para que puedas crear o editar imágenes y vídeos que conservan la consistencia de las fotos de referencia, incluida la cara de las personas. Las posibilidades son infinitas, como demostramos en el episodio monos estocásticos es un podcast sobre inteligencia artificial presentado por Antonio Ortiz (@antonello) y Matías S. Zavia (@matiass). Sacamos un episodio nuevo cada jueves. Puedes seguirnos en YouTube, LinkedIn y X. Más enlaces en cuonda.com/monos-estocasticos/links - (0) División en el mangacortismo veraniego - (05:05) El impresionante crecimiento de Waymo - (12:01) Ya llega Elon con su Cybercab - (15:37) Lo último en la suite Freepik: Flux Kontext - (18:43) DeepSeek sigue haciendo virguerías - (23:03) Acuerdos Samsung-Perplexity, Telegram-xAI - (30:21) El resurgir del ludismo con la IA, el caso Duolingo - (41:08) Meta automatizando toda la publicidad - (47:52) Acuerdo de las discográficas con Suno y Udio - (53:40) El New York Times sí tiene un precio - (55:42) Meta hace dinero en la guerra con el metaverso - (1h01) Puerta grande o enfermería - (1h16) Canción de cierre

Découvrez l'épisode EXCEPTIONNEL de Comptoir IA avec la Dream Team française qui a révolutionné Hollywood et la VFX avec l'IA générative ! Pierrick, Ludovic Creator et Julien Coquerel nous racontent leur aventure incroyable en Grèce sur le tournage de House of David saison 2 pour Amazon Prime.Une première mondiale : ils sont les premiers à intégrer un tournage de cette ampleur, remplaçant une équipe de 50 personnes en VFX traditionnelle avec seulement 7 artistes IA !

SURPRISE! The Pocket is BACK! Christian Hackenberg is joined by Paxton Kling! Paxton discusses why he transferred to and joined Penn State. Paxton explores his journey from the SEC to the heart of Nittany Lions territory. From the allure of LSU's baseball culture to the big picture of coming home to represent Pennsylvania, this conversation is packed with insights and key takeaways.Here's what to expect:- The keys to success behind Paxton's decision to transfer to Penn State.- How Coach Gambino is transforming Penn State baseball and building a winning program.- The blue-collar mindset that defines PSU athletics and resonates with players from Pennsylvania.- Unique challenges and opportunities in college sports, from NIL to player development.- Paxton's reflections on his time at LSU and winning a national championship.FOLLOW STATE MEDIA HERE:► TWITTER | ⁠https://twitter.com/StateMediaPSU⁠► TIKTOK | ⁠https://www.tiktok.com/@statemediapsu⁠► INSTAGRAM | ⁠https://www.instagram.com/statemediapsu/⁠► YOUTUBE | ⁠https://www.youtube.com/@StateMediaPSU?sub_confirmation=1⁠CHAPTERS:00:00 - Intro01:03 - Paxton Kling 04:34 - Current Trends in College Sports07:11 - NIL Agreements and Boosters10:14 - NIL's Impact on College Athletes12:09 - Future Prospects The Pocket is co-hosted by former Nittany Lions Christian Hackenberg and Jason Cabinda, presented by The College Sports Company.For sponsorships or business inquiries, reach out to: ads@collegesportsco.com#college #psu #baseball #pennstate #weare #happyvalley #mlb #transfer #collegebaseball

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Anthropic's CEO Dario Amodei just warned HALF of white-collar jobs could vanish in the next 1–5 years. Thankfully VEO 3 is here for your entertainment needs. While we're still here.   We break down Dario Amodei's 50% job-loss prediction and what you can do today to stay indispensable. Then: how Claude Opus kept blackmailing its own user, why Google's VEO 3 still scares off the competition and OpenAI's Advance Voice can now sing! Plus, Google Stitch AI's slick app-mockup magic, MMA-style robot brawls, “Fairies” agents on your PC, and Odyssey's live, AI-generated worlds. ROBOTS ARE AT YOUR DESK. AIs ARE IN YOUR FILES. IT'S A GOOD SHOW. #ai #ainews #openai Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links //   Dario Amodei Goes on Record To Discuss a “White Collar Jobs Bloodbath” https://www.axios.com/2025/05/28/ai-jobs-white-collar-unemployment-anthropic Morning Joe with Axios CEO https://youtu.be/OKCD2dmcjsQ?si=jEY2oLkV5nxbaKK1 Dario Says First One Person Billion Dollar Company By 2026 https://x.com/slow_developer/status/1925632756639256577/video/1 Rick Rubin on Vibecoding  https://x.com/a16z/status/1927783683727183990 Claude 4 Opus + Sonnet https://www.anthropic.com/news/claude-4 Claude Tries to Blackmail Employees (Safety Tests) https://techcrunch.com/2025/05/22/anthropics-new-ai-model-turns-to-blackmail-when-engineers-try-to-take-it-offline/ Replit CEO Amjad Masad says their internal AI agent tried to socially engineer a user -- just to edit a protected config file. https://x.com/vitrupo/status/1927375269674852656 Advanced Voice Can Sing Now https://x.com/nicdunz/status/1927106089020969223 Veo 3 in Gemini Now https://x.com/joshwoodward/status/1926311143867330938 Kling 2.1 Vs Veo 3 https://x.com/maxescu/status/1927533331236737031 Unseen Lives of Actors Veo 3 https://x.com/HashemGhaili/status/1927467022213869975 Jurassic Park Veo 3  https://x.com/IanSharar/status/1926341477010969083 This is Plastic Veo 3 https://www.reddit.com/r/ChatGPT/comments/1kvacl1/this_is_plastic_this_is_madness/ Stitch By Google - AI Design + UX https://x.com/stitchbygoogle/status/1924947794034622614 Fairies - AI Agent For Local Computer (free-to-use) https://x.com/GuangyuRobert/status/1927482226239062085 Humanoid MMA HAPPENED https://x.com/TheHumanoidHub/status/1926683608330248418 Demon Flying Fox Gets VEO 3 (Challenges) https://youtu.be/CxX92BBhHBw?si=EjfNq1JLZLU4DC7z Odyssey Real Time Video Engine https://x.com/odysseyml/status/1927767196756853179 Using Google Street Images in Runway References to put real world locations into shoots https://x.com/lifeofc/status/1927135049918357981 Friend of the show Joanna Stern's VEO 3 journey https://youtu.be/US2gO7UYEfY?si=rzoiKFSjcDrV02Rj  

We're stoked to be joined by Jeramie Kling of Inhuman Condition for a chat about their killer upcoming album 'Mind Trap', plus his journey into music & metal, bike riding with Glen Benton and plenty more! https://inhumancondition.bandcamp.com/music

Midjourney Fast Hours, Episode 40 After a short hiatus (blame conferences and caffeine dependency), the Rory Flynn and Drew Brucker break down Google's shiny new Flow suite — with its Veo 3 video model, sound + dialogue generation, and confusing-as-hell product naming. They talk strategy, cost, coherence, and why it still feels like Midjourney has that “magic dust” no one else can replicate.Along the way: Runway love, layering hacks, JSON secrets, interior design with arrows, and 3D dogs with job titles. It's fun. It's weird. It's chaotic. But you'll probably walk away with 3 ideas you want to try right away.Also, someone paid $125 just to tell you whether it's worth it. (You're welcome.)---Midjourney Fast Hour0:00 – When did this madness begin?2:19 – AI video is finally getting spicy3:29 – Google's Flow Suite: Veo 3, sound, and coherence5:02 – Google's confusing product soup: Flow, Gemini, Imagen, Whisk10:45 – Pricing pain: Is Veo 3 worth the $125?13:09 – Veo 2 vs Veo 3: Best value tips and tradeoffs15:08 – Prompt accuracy and physics: Is Google really listening?17:53 – Why less prompt effort = better results now19:40 – Veo 3 vs Kling vs Midjourney: Prompting philosophies20:52 – Scene builder: Longer takes and smart extension workflows22:34 – The catch: extending drops quality and loses sound24:17 – New image-to-video support + third-party images25:41 – Ingredients-based generation and persistent characters27:10 – Frame extraction: finally, a feature we all needed28:08 – Timeline editing, upscaling, and staying inside the tool29:48 – Sora vs Veo 3 vs Runway: usability and consistency31:43 – Canva, Figma, Framer: Tools are becoming monsters35:33 – Figma's new AI website builder is wild36:40 – Prompting sneaker ads and JSON-based design37:09 – Why training teams on AI is almost impossible38:07 – Hedra who? Veo 3 makes fast pivots a must39:55 – Midjourney's next move: what video could look like41:11 – Runway's underrated features and clever reference hacks44:26 – Scene sketching and layout prompting: mind blown47:25 – Interior design from mood board to layout to render49:45 – Lighting direction via floorplans = next-gen hack52:53 – Try-on tech and Chrome extensions54:22 – Style consistency with JSON + ChatGPT58:23 – Mass-generating stylized icons and dogs with jobs1:02:36 – Midjourney updates: V7.1, personalization, and video1:05:01 – What Midjourney must get right with video1:07:18 – The one-shot window to impress1:09:23 – Bring back the Midjourney magic1:11:14 – Wrap-up: chaotic times, coherent thoughts, caffeinated takes

L'IA au service de la vidéo : entre fascination et hallucinations

Hannah Kling is a writer, recipe developer, and the creator behind @lovelydelites—what started as a food blog and creative outlet has grown into a full-blown viral sensation. From a 3 hour job commute to becoming a full time viral recipe creator with nearly 1M+ followers across platforms, Hannah shares her journey of healing her relationship with food, redefining what food freedom looks like, and how she turned a passion into purpose. What We Cover: -Hannah's history with disordered eating and the moment she realized something needed to change -How she transitioned from food restriction to embracing food freedom -Her “year of saying yes” to everything she once labeled off-limits—and why it was a turning point -The importance of mindfulness and slowing down while eating -How she manages balance as a dessert creator (while pregnant!) -Practical meal prep strategies that won't overwhelm you -Her cottage cheese obsession (wait ‘til you hear her chia pudding trick!) -Tips for beginner home cooks and how to make healthy meals taste indulgent -The story behind her first viral recipe (it's genius!) -A behind-the-scenes look at how she built her business while working full-time and commuting 3+ hours a day -Why she believes cheat meals, food scales, and labeling foods “good” or “bad” are overrated -The mindset shift that allowed her to create a lifestyle filled with ease, flexibility, and flavor Resources mentioned: Quick Ab Workouts: MadFit YouTube channel Hannah's Overnight Oats Recipes Hannah's Chia Pudding Recipe Dinner Ideas From Hannah: Green Chicken Enchilada Casserole Crockpot Marry Me Chicken Panda Express Broccoli Beef Honey Mustard Chicken Salad Stay tuned for her Postpartum Meal Prep Series starting May (freezer-friendly recipes for everyone!) Connect with Hannah:

Outwork Them All: A Gen X Guide to Business and Leadership Success by Sean P Kling Amazon.com Seankling.com From Stuck in a Rut to Unparalleled Success: Unleash the Power of Generation X Wisdom to Succeed Building a business can be filled with uncertainties, things you can't control, and the constant search for growth. Whether you're a small-business owner feeling stuck in a rut or someone just starting out, the right path is rarely obvious and is always full of obstacles. Thankfully, there's a group of people with decades of experience about what works and what doesn't. Extracting that expertise means you don't have to make the same mistakes to enjoy success. Serial entrepreneur and proud Gen Xer, Sean Kling, reveals the untold practices and attitudes that have propelled Generation X to extraordinary success. As younger generations may have overlooked some of these invaluable business secrets, Sean brings them back into the spotlight. He delves into his generation's upbringing, showcasing how these practices are deeply rooted in their experiences, and explains how they can work wonders in helping you achieve your personal and business goals. You'll learn: Untapped networking opportunities hidden beyond the digital world. Five action steps to build a team of like-minded people in order to create a comfortable company culture. The must-have advisors that make up your inner circle, so your personal blind spots never go unnoticed. A 9-step protocol to help you rebound, reinvent, and recoup when your business starts to wear and tear. A no-nonsense guide to forgo costly software and run your business with more efficiency. Embrace the proven wisdom of Generation X and its time-tested strategies. Read and implement Outwork Them All today and embark on a transformative journey that will position your business for unparalleled success.

今日中に招待できるようにしたい！

Willkommen beim Podcast von Technologie-Scout Boris Bärmichl!Bereit für eine faszinierende Entdeckungsreise in die Welt der Technologie?

OpenAI's o3 and o4-mini are here—and they're multimodal, cheaper, and scary good. These models can see, code, plan, and use tools all on their own. Yeah. It's a big deal. We break down everything from tool use to image reasoning to why o3 might be the start of something actually autonomous. Plus, our favorite cursed (and adorable) 4o Image Generation  prompts, ChatGPT as a social network, the old (Monday) news about GPT-4.1 including free Windsurf coding for a week! Also, Kling 2.0 and Veo 2 drop new AI video models, Google's Deepmind is using AI to talk to dolphins, NVIDIA's new chip restrictions and Eric Schmidt says the computers… don't have to listen to us anymore. Uh-oh. THE COMPUTERS HAVE EYES. AND THEY MIGHT NOT NEED US. STILL A GOOD SHOW. Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // O3 + o4-MINI ARE HERE LIVE STREAM: https://www.youtube.com/live/sq8GBPUb3rk?si=qQMFAvm8UmvyGaWv OpenAI Blog Post: https://openai.com/index/introducing-o3-and-o4-mini/ “Thinking With Images”  https://openai.com/index/thinking-with-images/ Codex CLI  https://x.com/OpenAIDevs/status/1912556874211422572 Professor & Biomedical Scientist Reaction to o3 https://x.com/DeryaTR_/status/1912558350794961168 Linda McMahon's A1 vs AI https://www.usatoday.com/story/news/politics/2025/04/12/linda-mcmahon-a1-instead-of-ai/83059797007/ GPT-4.1 in the API https://openai.com/index/gpt-4-1/ GPT-4.1 Reduces The Need to Read Unneccesary Files https://www.reddit.com/r/singularity/comments/1jz600b/one_of_the_most_important_bits_of_the_stream_if/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button OpenAI Might Acquire WIndsurf for 3 Billion Dollars https://www.cnbc.com/2025/04/16/openai-in-talks-to-pay-about-3-billion-to-acquire-startup-windsurf.html ChatGPT: The Social Network https://x.com/kyliebytes/status/1912171286039793932 New ChatGPT Image Library  https://chatgpt.com/library  4o Image Gen Prompts We Love Little Golden Books https://x.com/AIForHumansShow/status/1912321209297191151 Make your pets people https://x.com/gavinpurcell/status/1911243562928447721 Barbie https://x.com/AIForHumansShow/status/1910514568595726414 Coachella Port-a-potty https://x.com/AIForHumansShow/status/1911604534713192938 Ex-Google CEO Says The Computers Are Improving Fast https://www.reddit.com/r/artificial/comments/1jzw6bd/eric_schmidt_says_the_computers_are_now/ Kling 2.0 https://x.com/Kling_ai/status/1912040247023788459 Rotisserie Chicken Knight Prompt in Kling 2.0: https://x.com/AIForHumansShow/status/1912170034761531817 Kling example that didn't work that well: https://x.com/AIForHumansShow/status/1912298707955097842 Veo 2 Launched in AI Studio https://aistudio.google.com/generate-video https://blog.google/products/gemini/video-generation/ James Cameron on “Humans as a Model” https://x.com/dreamingtulpa/status/1910676179918397526 Nvidia Restricting More Chip Sales To China https://www.nytimes.com/2025/04/15/technology/nvidia-h20-chip-china-restrictions.html $500 Billion for US Chip Manufacturing https://www.cnbc.com/2025/04/14/nvidia-to-mass-produce-ai-supercomputers-in-texas.html Dolphin Gemma: AI That Will Understand Dolphins https://x.com/GoogleDeepMind/status/1911767367534735832 Jason Zada's Very Cool Veo 2 Movie https://x.com/jasonzada/status/1911812014059733041 Robot Fire Extinguisher https://x.com/CyberRobooo/status/1911665518765027788  

What does it really take to go from writing code to running a company in the fast-moving world of IoT? What happens when a seasoned embedded engineer decides to build a company from scratch? In this episode of The IoT Podcast Show, host Tom White sits down with Bartek Kling, CEO and founder of NeedCode, a company specialising in embedded software services for connected devices. Bartek shares his journey from being a hands-on embedded engineer in the automotive sector to launching and scaling his own successful tech startup. He opens up about the reality of stepping into a leadership role, the unexpected importance of sales and marketing, the art of building long-term client relationships and how NeedCode has carved out a space in a competitive market by focusing on Bluetooth Low Energy and full-cycle product development. Whether you're building the next big IoT product or just want a behind-the-scenes look at what it takes to lead in this space, this episode delivers real insights, lessons learned, and a forward-looking view of the industry. Chapters... 00:00 Introduction to Bartek Kling and needCode 03:43 Bartek's Journey from Engineer to CEO 09:19 Transitioning from Freelancing to Founding NeedCode 12:24 Challenges of Being a Founder and CEO 14:39 Differentiating NeedCode in the Market 16:36 Plans for Scaling NeedCode 19:09 Capabilities and Offerings of NeedCode 23:35 Common Customer Pain Points 26:44 Building a Talent Network for Growth 30:03 Future Trends in IoT 34:24 Security and Privacy in IoT Devices 37:09 Conclusion and Where to Find NeedCode The episode is live on all major listening platforms now! Listen here: https://linktr.ee/theiotpodcast Connect with our guest… https://www.linkedin.com/in/bartek-kling/ About needCode needCode is a European IoT development company that specialises in creating smart product solutions, embedded software, and AI-powered IoT systems. They help businesses design, secure, and optimise connected products while offering strategic support and staff augmentation to bring innovative ideas to market. Find out more: https://needcode.io/ SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast Sign Up for exclusive email updates: https://theiotpodcast.com/get-exclusive-access/ Contact us to become a guest/partner: https://theiotpodcast.com/contact/ Connect with host Tom White: / tom5values

Hey everyone, Alex here

OpenAI was exploring a social network and launched its flagship GPT-4.1 model, alongside enhancing ChatGPT's image handling. Nvidia faced a significant financial impact due to US restrictions on chip exports to China, highlighting geopolitical tensions in AI development.Meanwhile, companies like Anthropic, xAI, and Kling AI unveiled new features and models for voice interaction, content creation, and video generation. Concerns around AI safety and misuse were raised by studies on deepfake voices and "slopsquatting" attacks, while ethical considerations were noted in Trump's AI infrastructure plans and Meta's data usage. The date also saw progress in AI for specific applications, including data analysis automation, humanoid robotics, scientific discovery, and even understanding dolphin communication.

Hey Folks, Alex here, celebrating an absolutely crazy (to me) milestone, of #100 episodes of ThursdAI

Liverpool er svo gott sem orðið meistari en dómgæslan stal senunni þegar nágrannaliðin Liverpool og Everton áttust við á Anfield. Það var heil umferð í ensku úrvalsdeildinni og mættu þeir Magnús Haukur Harðarson og Kristján Atli Ragnarsson í stúdíó til þess að ræða um allt það helsta. Guðmundur Aðalsteinn Ásgeirsson stýrir þættinum.

https://solvitryggva.is/ Sigríður Klingenberg er löngu orðin landsþekkt fyrir stórmerkilegan fatastíl, spádóma og skemmtanir um allt land. Í þættinum ræða Sigga og Sölvi um ótrúlegar sögur af Siggu, getuna til að standa með sjálfum sér og margt margt fleira. Þátturinn er í boði; Caveman - https://www.caveman.global/ H-Berg - https://hberg.is/ Nings - https://nings.is/ Myntkaup - https://myntkaup.is/ Kaja Organic - https://www.kajaorganic.com/

זה הסוף ליצירה כפי שהכרנו? מודלי יצירת וידאו היו חלום רחוק עד לפני כמה שנים, ואנחנו עדים לאקסלרציה ויכולות שעולות על כל דמיון כבר היום ומשנים את תהליך היצירה. בפרק אירחתי את יונתן ורדי ודיברנו על האתגרים ביצירת מודלי יצירת וידאו, איך מודלים כמו Sora, Kling, וGen-3 משנים את תהליך היצירה? האם ייתכן שכבר עכשיו אפשר לייצר תוצר מרשים עם פחות אנשי צוות? עד כמה אנחנו קרובים להסדיר את השימוש בכלים בתעשייה? ואיך ייראו הסרטונים והפרסומות שלנו בעתיד? האזנה נעימה, עמית בן דור.

Kling, Marc-Uwe www.deutschlandfunkkultur.de, Lesart

Kling, Marc-Uwe www.deutschlandfunkkultur.de, Lesart

Today we have one and only Andreas Kling on the podcast the lead developer of Ladybird and formally the SerenityOS project. Right now is the most important time it's even been to get behind a new open source browser and bring it to life.==========Support The Channel==========► Patreon: https://www.patreon.com/brodierobertson► Paypal: https://www.paypal.me/BrodieRobertsonVideo► Amazon USA: https://amzn.to/3d5gykF► Other Methods: https://cointr.ee/brodierobertson==========Guest Links==========Website: https://ladybird.org/Youtube: https://www.youtube.com/@LadybirdBrowserGithub: https://github.com/LadybirdBrowser/ladybird==========Support The Show==========► Patreon: https://www.patreon.com/brodierobertson► Paypal: https://www.paypal.me/BrodieRobertsonVideo► Amazon USA: https://amzn.to/3d5gykF► Other Methods: https://cointr.ee/brodierobertson=========Video Platforms==========

Paula Delgado-Kling joins Let's Talk Memoir for a conversation about how her research and reporting on child soldiers, drug trafficking, and the revolutionary armed forces of Columbia (FARC) led her to tell the story of one woman and her family, the relationships we forge with whom we write about, allowing memoir to answer our questions, negotiating language barriers and class differences, coming to truth and understanding, grounding ourselves, hitting upon the structure a book needs, searching for humanity amidst ongoing violence, and her new book Leonor: The Story of a Lost Childhood.   Also in this episode: -working as a journalist -becoming embedded in the story we're covering  -negotiating dangerous environments to gather information   Books mentioned in this episode: Tastes Like War by Grace M. Cho It can take a really long time but that doesn't mean it isn't important or good.   Paula Delgado-Kling holds degrees in comparative literature/French civilizations, international affairs, and creative writing from Brown University, Columbia University, and The New School, respectively. Leonor, for which she received two grants from the Canadian Council for the Arts, is her first book. Excerpts of this book have appeared in Narrative, The Literary Review, Pacifica Literary Review, and Happano.org in Japan. Her work for the Mexican monthly news magazine Gatopardo was nominated for the Simon Bolivar Award, Colombia's top journalism prize, and anthologized in Las Mejores Crónicas de Gatopardo (Random House Mondadori, 2006). Born in Bogota, Colombia and raised in Toronto, Canada, Delgado-Kling now splits her time between Boca Raton, FL and New York City. To learn more, please visit PaulaDelgadoKling.com or follow her on Instagram @PaulaDelgadoKling. Connect with Paula Website: http://pauladelgadokling.com/ Facebook: https://www.facebook.com/profile.php?id=100091961238236 Twitter: https://twitter.com/ColombiaTalk Instagram: https://www.instagram.com/pauladelgadokling/ Get the book: https://www.amazon.com/Leonor-Story-Childhood-Paula-Delgado-Kling/dp/1682194477?crid=1M4ML48WOEEV7&keywords=leonor&qid=1683308327&s=books&sprefix=leonor,stripbooks,97&sr=1-1&linkCode=sl1&tag=ongoicom-20&linkId=986106192c06afd126c43cfe6d22043d&language=en_US&ref_=as_li_ss_tl   – Ronit's writing has appeared in The Atlantic, The Rumpus, The New York Times, Poets & Writers, The Iowa Review, Hippocampus, The Washington Post, Writer's Digest, American Literary Review, and elsewhere. Her memoir WHEN SHE COMES BACK about the loss of her mother to the guru Bhagwan Shree Rajneesh and their eventual reconciliation was named Finalist in the 2021 Housatonic Awards Awards, the 2021 Indie Excellence Awards, and was a 2021 Book Riot Best True Crime Book. Her short story collection HOME IS A MADE-UP PLACE won Hidden River Arts' 2020 Eludia Award and the 2023 Page Turner Awards for Short Stories.  She earned an MFA in Nonfiction Writing at Pacific University, is Creative Nonfiction Editor at The Citron Review, and teaches memoir through the University of Washington's Online Continuum Program and also independently. She launched Let's Talk Memoir in 2022, lives in Seattle with her family of people and dogs, and is at work on her next book. More about Ronit: https://ronitplank.com Subscribe to Ronit's Substack: https://substack.com/@ronitplank Follow Ronit: https://www.instagram.com/ronitplank/ https://www.facebook.com/RonitPlank https://bsky.app/profile/ronitplank.bsky.social   Background photo credit: Photo by Patrick Tomasso on Unsplash Headshot photo credit: Sarah Anne Photography Theme music: Isaac Joel, Dead Moll's Fingers

The Kling family has a 500 year history of standing for the truth, starting with with the Reformation of the Church. Following in his ancestor's footsteps, Peter Kling began his education in the Scriptures before the age of five and his education in the sciences by the age of 10. Peter first started "seeing" future events at the age of 9, had Alien contact at the age of 18, has survived attempts on his life 16 times, including an NDE (Near Death Experience), in which he "crossed over" and got sent back. Becoming a scientist, Mr. Kling used his education and life experience to unlock the Secrets in the Scriptures, which the Church has kept hidden for over a thousand years! Genesis starts off with Interdimensional Extraterrestrials and proof of genetic engineering of the Human Genome. As our sciences developed, more and more secrets of the Scriptures have been revealed. With the advancements in science over the last 50 years, Mr. Kling states; "We find life everywhere, it would only be logical that life exists across all dimensions in our Multiverse, beyond our physical three dimensions. Indeed we are not alone, but part of a large Cosmic Family and we are facing a paradigm change, which will create the next step in Human Development".Become a supporter of this podcast: https://www.spreaker.com/podcast/the-x-zone-radio-tv-show--1078348/support.

The Kling family has a 500 year history of standing for the truth, starting with with the Reformation of the Church. Following in his ancestor's footsteps, Peter Kling began his education in the Scriptures before the age of five and his education in the sciences by the age of 10. Peter first started "seeing" future events at the age of 9, had Alien contact at the age of 18, has survived attempts on his life 16 times, including an NDE (Near Death Experience), in which he "crossed over" and got sent back. Becoming a scientist, Mr. Kling used his education and life experience to unlock the Secrets in the Scriptures, which the Church has kept hidden for over a thousand years! Genesis starts off with Interdimensional Extraterrestrials and proof of genetic engineering of the Human Genome. As our sciences developed, more and more secrets of the Scriptures have been revealed. With the advancements in science over the last 50 years, Mr. Kling states; "We find life everywhere, it would only be logical that life exists across all dimensions in our Multiverse, beyond our physical three dimensions. Indeed we are not alone, but part of a large Cosmic Family and we are facing a paradigm change, which will create the next step in Human Development".Become a supporter of this podcast: https://www.spreaker.com/podcast/the-x-zone-radio-tv-show--1078348/support.

Við komum við í Kling og bang úti á Granda og hittum þar listamanninn Sólbjörtu Veru Ómarsdóttir og ræðum við hana um sína fyrstu einkasýningu sem opnuð var þar í rýminu um síðustu helgi og nefnist Misskilningur í skipulagsmálum. En í verkunum skoðar hún hversdagslega hluti sem til eru innan veggja flestra heimila út frá tengslum okkar við þá en leitast einnig við að mæta hlutunum á þeirra eigin forsendum. Gauti Kristmannsson rýnir í Hjálparsagnir hjartans eftir Pjéter Ezterházy í þýðingu Jónu Dóru Óskarsdóttur, og Egill Arnarsson segir frá sínu uppáhaldstónverki.

What if a simple box of Kleenex or a stack of Expo markers could change a classroom?

On this MADM, Free 2 Teach CEO Alison Kling is sharing about the founder of Free 2 Teach and the importance of this effort as they equip teachers with supplies to improve students' learning experience. Listen & share. Sponsor: Hydration Lounge HydrationL.com

Supporta BLMP genom att bli en patron! Spana in de olika alternativen på http://www.patreon.com/blmetalpodcast Eller bidra genom att swisha: 0708-961174 Heidenhammer hade ett undertryckt behov av att snacka om Europe, vilket B.L. inte alls bottnar i, så vännerna beslutade att ta in självaste Mattias Kling som författat den moderna kultklassikern "Only young twice: Historien om Europe" [2011]. Mycket missnöje! I samarbete med Medborgarskolan.

Follow Proof of Coverage Media: https://x.com/Proof_CoverageConnor sits down with Travis Kling, a prominent crypto hedge fund trader, about the intersection of faith, culture, and cryptocurrency. They discuss the recent surge in Bible sales, which Travis attributes to global instability driving a renewed interest in faith, as well as the decline of religious affiliation in America amid the rise of the internet and challenges like Christian nationalism. Travis shares his views on societal trends, including a potential spiritual resurgence, and explores the concept of spiritual warfare in the context of the 2024 election, linking cultural issues like gender identity and abortion to broader moral struggles. He reflects on his personal faith journey, recounting how challenges and a move to New York City deepened his spirituality. The conversation concludes with Travis's thoughts on the future of cryptocurrency, including the potential for a strategic Bitcoin reserve under a new administration and its implications for the financial landscape.Timestamps:00:00 - Introduction01:04 - Exploring the Decline of Faith in Modern America06:51 - Faith and Science11:31 - Reevaluating New Atheism 16:26 - Political Polarization24:02 - Future of Bitcoin in U.S. Politics 35:26 - Finding Faith and Purpose56:16 - Journey of Faith: Deconstruction and Reconstruction01:24:48 - Exploring Tokenomics and AI Agents in Emerging Technologies01:30:10 - Hybrid Intelligence - The Intersection of Human Oversight and AI01:37:16 - Exploring the Impact of Religion on Human Advancement01:43:37 - Christianity and Human AdvancementDisclaimer: The hosts and the firms they represent may hold stakes in the companies mentioned in this podcast. None of this is financial advice.

In this episode, Omar Choudhry, a serial entrepreneur, shares the exact prompting sequences he uses to combine multiple AI tools to create products people actually want to buy. Watch us build a custom avatar business live. You'll learn the exact process: from crafting the perfect prompts in ChatGPT, to generating images in Leonardo AI, to animating with Kling AI, all the way to automated fulfillment with Printful. This isn't theory - it's a complete blueprint you can copy today.Timestamps:00:00 - Introduction and overview04:22 - Technical, Audience, and Cultural Shifts10:12 - Explanation of sequential prompting14:15 - How to create an AI Avatar using ChatGPT and Leonardo AI26:18 - Startup Idea 1: Custom AI Greeting Cards36:43 - Teenie Tales MVP showcase43:10 - How to animate AI Avatar's using Kling AI 52:50 - Startup Idea 2: Personalized AI Sticker'sKey Points:• Detailed walkthrough of creating AI avatars using sequential prompting across multiple AI tools• Exploration of business opportunities in personalized greeting cards and educational materials• Discussion of automated workflows combining ChatGPT, Leonardo AI, and Kling AI• Integration strategies with print-on-demand services like Printful for physical products1) The Big Shift in Business Models:Traditional path:• Raising VC $$$• Years to launch• Large teams• Office space neededNew AI-First path:• Build instantly• Low cost• Zero employees• Remote-first2) The Sequential Prompting Framework Omar's genius method:• Use ChatGPT to create prompts• Feed prompts to specialized AI tools• Chain outputs together• Build user-friendly frontendExample flow:ChatGPT → Leonardo AI → Kling AI → 11Labs3) Business Idea #1: AI-First Greeting Cards The $400M Moonpig-killer:• Upload photos → Get AI avatars• Generate personalized scenes• Add animation & voice• Print physical cardsMonetization:• $7-10 per card• $10-15 monthly subs• Gift upsells4) Business Idea #2: Educational AI Stickers Target market: Schools & TeachersThe product:• Custom teacher avatars• Personalized student stickers• Achievement celebrations• Classroom decorationsDistribution:• Direct mail to principals• School district partnerships5) The Technical Stack Tools needed:• ChatGPT for prompts• Leonardo AI for images• Remove.bg for backgrounds• Printful API for fulfillment• Zapier/Make for automationCAC potential: $15/customer6) Marketing Strategy Guerrilla tactics:• Find faculty directories• Create custom samples• Direct mail campaigns• Social media DM outreach• Leverage virality in schoolsPro Tip: Start manual, perfect the process, then automate!7) BONUS INSIGHT The real opportunity isn't just in the tools - it's in the UX layer on top.Build specific solutions for specific problems.Create branded experiences.Make it dead simple to use.The tools are commodities. The experience is the moat.Notable Quotes:"We're building full workflows today using AI avatars. I'm going to have a ton of business ideas that you can start immediately with zero employees." - Omar"By the end of this episode, you'll be able to assemble an AI SaaS product that can literally print you cash." - OmarLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.coFIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND OMAR ON SOCIAL5 Day Sprint - Build with AI: https://www.skool.com/5-day-sprint/aboutInstagram: https://www.instagram.com/omarchoudhry/X/Twitter: https://x.com/OmarChoudhryLinkedIn: https://www.linkedin.com/in/omarchoudhry/?originalSubdomain=uk

I denne episoden av Level Up er vi så heldige å ha med oss fantastiske medisinske forsker Rebekka Nøkling, som deler sitt unike perspektiv på kvinnehelse. Vi utforsker hvordan hormoner som progesteron og østrogen påvirker hudens elastisitet, hjernens funksjon og følelseslivet vårt.Rebekka forklarer blant annet:•Sammenhengen mellom hormonubalanse og symptomer som tørr hud, dårlig søvn og stressmage.•Hvorfor progesteron er kvinnens “naturlige valium” og essensielt for ro og balanse.•Betydningen av mitokondriene som cellenes kraftverk og deres rolle i energiproduksjon og helhetlig helse.•Enkle, naturlige verktøy og livsstilsendringer for å styrke kropp og sinn.Dette er episoden for deg som vil føle deg sterkere, sunnere og mer balansert – og samtidig forstå hvordan din helse påvirker verden rundt deg.Bli med på kurs med Rebekka og meg her:https://lmekursportalen.com/2023/10/30/kickstart-for-okt-prestasjon-og-robusthet/?fbclid=IwY2xjawHJU6FleHRuA2FlbQIxMAABHTcONXp80U0lbL0Gd-b6oP6vWjWD0EXYfgmdd6imwN_Gx1RDDHqFVjmLsA_aem_1Y1FVkDz1DgkL0hG10BwbwMer av Rebekka Nøkling:Instagram: https://www.instagram.com/rebekka_n/https://lmekursportalen.com/?fbclid=PAZXh0bgNhZW0CMTEAAab8o2E276Lnrp66-dxDgJjRoJMIhyHy16X6UovyqZXtpiq4V2yiSIFYmxM_aem_t8PytjjIBqfTK7Z75Nbb0QTidligere episoder med Rebekka Nøkling:126: Stress, genforskning og hvordan bygge oss opp på cellenivåhttps://podcasts.apple.com/no/podcast/level-up-med-anniken-binz/id1542603590?i=1000614418176135: Hvordan få cellene dine til å produsere mer energihttps://podcasts.apple.com/no/podcast/level-up-med-anniken-binz/id1542603590?i=1000626280976178: Hvordan hacke overgangsalderen, hormoner og hjernehelse https://podcasts.apple.com/no/podcast/level-up-med-anniken-binz/id1542603590?i=1000660390061 Hosted on Acast. See acast.com/privacy for more information.

Due to overwhelming demand (>15x applications:slots), we are closing CFPs for AI Engineer Summit NYC today. Last call! Thanks, we'll be reaching out to all shortly!The world's top AI blogger and friend of every pod, Simon Willison, dropped a monster 2024 recap: Things we learned about LLMs in 2024. Brian of the excellent TechMeme Ride Home pinged us for a connection and a special crossover episode, our first in 2025. The target audience for this podcast is a tech-literate, but non-technical one. You can see Simon's notes for AI Engineers in his World's Fair Keynote.Timestamp* 00:00 Introduction and Guest Welcome* 01:06 State of AI in 2025* 01:43 Advancements in AI Models* 03:59 Cost Efficiency in AI* 06:16 Challenges and Competition in AI* 17:15 AI Agents and Their Limitations* 26:12 Multimodal AI and Future Prospects* 35:29 Exploring Video Avatar Companies* 36:24 AI Influencers and Their Future* 37:12 Simplifying Content Creation with AI* 38:30 The Importance of Credibility in AI* 41:36 The Future of LLM User Interfaces* 48:58 Local LLMs: A Growing Interest* 01:07:22 AI Wearables: The Next Big Thing* 01:10:16 Wrapping Up and Final ThoughtsTranscript[00:00:00] Introduction and Guest Welcome[00:00:00] Brian: Welcome to the first bonus episode of the Tech Meme Write Home for the year 2025. I'm your host as always, Brian McCullough. Listeners to the pod over the last year know that I have made a habit of quoting from Simon Willison when new stuff happens in AI from his blog. Simon has been, become a go to for many folks in terms of, you know, Analyzing things, criticizing things in the AI space.[00:00:33] Brian: I've wanted to talk to you for a long time, Simon. So thank you for coming on the show. No, it's a privilege to be here. And the person that made this connection happen is our friend Swyx, who has been on the show back, even going back to the, the Twitter Spaces days but also an AI guru in, in their own right Swyx, thanks for coming on the show also.[00:00:54] swyx (2): Thanks. I'm happy to be on and have been a regular listener, so just happy to [00:01:00] contribute as well.[00:01:00] Brian: And a good friend of the pod, as they say. Alright, let's go right into it.[00:01:06] State of AI in 2025[00:01:06] Brian: Simon, I'm going to do the most unfair, broad question first, so let's get it out of the way. The year 2025. Broadly, what is the state of AI as we begin this year?[00:01:20] Brian: Whatever you want to say, I don't want to lead the witness.[00:01:22] Simon: Wow. So many things, right? I mean, the big thing is everything's got really good and fast and cheap. Like, that was the trend throughout all of 2024. The good models got so much cheaper, they got so much faster, they got multimodal, right? The image stuff isn't even a surprise anymore.[00:01:39] Simon: They're growing video, all of that kind of stuff. So that's all really exciting.[00:01:43] Advancements in AI Models[00:01:43] Simon: At the same time, they didn't get massively better than GPT 4, which was a bit of a surprise. So that's sort of one of the open questions is, are we going to see huge, but I kind of feel like that's a bit of a distraction because GPT 4, but way cheaper, much larger context lengths, and it [00:02:00] can do multimodal.[00:02:01] Simon: is better, right? That's a better model, even if it's not.[00:02:05] Brian: What people were expecting or hoping, maybe not expecting is not the right word, but hoping that we would see another step change, right? Right. From like GPT 2 to 3 to 4, we were expecting or hoping that maybe we were going to see the next evolution in that sort of, yeah.[00:02:21] Brian: We[00:02:21] Simon: did see that, but not in the way we expected. We thought the model was just going to get smarter, and instead we got. Massive drops in, drops in price. We got all of these new capabilities. You can talk to the things now, right? They can do simulated audio input, all of that kind of stuff. And so it's kind of, it's interesting to me that the models improved in all of these ways we weren't necessarily expecting.[00:02:43] Simon: I didn't know it would be able to do an impersonation of Santa Claus, like a, you know, Talked to it through my phone and show it what I was seeing by the end of 2024. But yeah, we didn't get that GPT 5 step. And that's one of the big open questions is, is that actually just around the corner and we'll have a bunch of GPT 5 class models drop in the [00:03:00] next few months?[00:03:00] Simon: Or is there a limit?[00:03:03] Brian: If you were a betting man and wanted to put money on it, do you expect to see a phase change, step change in 2025?[00:03:11] Simon: I don't particularly for that, like, the models, but smarter. I think all of the trends we're seeing right now are going to keep on going, especially the inference time compute, right?[00:03:21] Simon: The trick that O1 and O3 are doing, which means that you can solve harder problems, but they cost more and it churns away for longer. I think that's going to happen because that's already proven to work. I don't know. I don't know. Maybe there will be a step change to a GPT 5 level, but honestly, I'd be completely happy if we got what we've got right now.[00:03:41] Simon: But cheaper and faster and more capabilities and longer contexts and so forth. That would be thrilling to me.[00:03:46] Brian: Digging into what you've just said one of the things that, by the way, I hope to link in the show notes to Simon's year end post about what, what things we learned about LLMs in 2024. Look for that in the show notes.[00:03:59] Cost Efficiency in AI[00:03:59] Brian: One of the things that you [00:04:00] did say that you alluded to even right there was that in the last year, you felt like the GPT 4 barrier was broken, like IE. Other models, even open source ones are now regularly matching sort of the state of the art.[00:04:13] Simon: Well, it's interesting, right? So the GPT 4 barrier was a year ago, the best available model was OpenAI's GPT 4 and nobody else had even come close to it.[00:04:22] Simon: And they'd been at the, in the lead for like nine months, right? That thing came out in what, February, March of, of 2023. And for the rest of 2023, nobody else came close. And so at the start of last year, like a year ago, the big question was, Why has nobody beaten them yet? Like, what do they know that the rest of the industry doesn't know?[00:04:40] Simon: And today, that I've counted 18 organizations other than GPT 4 who've put out a model which clearly beats that GPT 4 from a year ago thing. Like, maybe they're not better than GPT 4. 0, but that's, that, that, that barrier got completely smashed. And yeah, a few of those I've run on my laptop, which is wild to me.[00:04:59] Simon: Like, [00:05:00] it was very, very wild. It felt very clear to me a year ago that if you want GPT 4, you need a rack of 40, 000 GPUs just to run the thing. And that turned out not to be true. Like the, the, this is that big trend from last year of the models getting more efficient, cheaper to run, just as capable with smaller weights and so forth.[00:05:20] Simon: And I ran another GPT 4 model on my laptop this morning, right? Microsoft 5. 4 just came out. And that, if you look at the benchmarks, it's definitely, it's up there with GPT 4. 0. It's probably not as good when you actually get into the vibes of the thing, but it, it runs on my, it's a 14 gigabyte download and I can run it on a MacBook Pro.[00:05:38] Simon: Like who saw that coming? The most exciting, like the close of the year on Christmas day, just a few weeks ago, was when DeepSeek dropped their DeepSeek v3 model on Hugging Face without even a readme file. It was just like a giant binary blob that I can't run on my laptop. It's too big. But in all of the benchmarks, it's now by far the best available [00:06:00] open, open weights model.[00:06:01] Simon: Like it's, it's, it's beating the, the metalamas and so forth. And that was trained for five and a half million dollars, which is a tenth of the price that people thought it costs to train these things. So everything's trending smaller and faster and more efficient.[00:06:15] Brian: Well, okay.[00:06:16] Challenges and Competition in AI[00:06:16] Brian: I, I kind of was going to get to that later, but let's, let's combine this with what I was going to ask you next, which is, you know, you're talking, you know, Also in the piece about the LLM prices crashing, which I've even seen in projects that I'm working on, but explain Explain that to a general audience, because we hear all the time that LLMs are eye wateringly expensive to run, but what we're suggesting, and we'll come back to the cheap Chinese LLM, but first of all, for the end user, what you're suggesting is that we're starting to see the cost come down sort of in the traditional technology way of Of costs coming down over time,[00:06:49] Simon: yes, but very aggressively.[00:06:51] Simon: I mean, my favorite thing, the example here is if you look at GPT-3, so open AI's g, PT three, which was the best, a developed model in [00:07:00] 2022 and through most of 20 2023. That, the models that we have today, the OpenAI models are a hundred times cheaper. So there was a 100x drop in price for OpenAI from their best available model, like two and a half years ago to today.[00:07:13] Simon: And[00:07:14] Brian: just to be clear, not to train the model, but for the use of tokens and things. Exactly,[00:07:20] Simon: for running prompts through them. And then When you look at the, the really, the top tier model providers right now, I think, are OpenAI, Anthropic, Google, and Meta. And there are a bunch of others that I could list there as well.[00:07:32] Simon: Mistral are very good. The, the DeepSeq and Quen models have got great. There's a whole bunch of providers serving really good models. But even if you just look at the sort of big brand name providers, they all offer models now that are A fraction of the price of the, the, of the models we were using last year.[00:07:49] Simon: I think I've got some numbers that I threw into my blog entry here. Yeah. Like Gemini 1. 5 flash, that's Google's fast high quality model is [00:08:00] how much is that? It's 0. 075 dollars per million tokens. Like these numbers are getting, So we just do cents per million now,[00:08:09] swyx (2): cents per million,[00:08:10] Simon: cents per million makes, makes a lot more sense.[00:08:12] Simon: Yeah they have one model 1. 5 flash 8B, the absolute cheapest of the Google models, is 27 times cheaper than GPT 3. 5 turbo was a year ago. That's it. And GPT 3. 5 turbo, that was the cheap model, right? Now we've got something 27 times cheaper, and the Google, this Google one can do image recognition, it can do million token context, all of those tricks.[00:08:36] Simon: But it's, it's, it's very, it's, it really is startling how inexpensive some of this stuff has got.[00:08:41] Brian: Now, are we assuming that this, that happening is directly the result of competition? Because again, you know, OpenAI, and probably they're doing this for their own almost political reasons, strategic reasons, keeps saying, we're losing money on everything, even the 200.[00:08:56] Brian: So they probably wouldn't, the prices wouldn't be [00:09:00] coming down if there wasn't intense competition in this space.[00:09:04] Simon: The competition is absolutely part of it, but I have it on good authority from sources I trust that Google Gemini is not operating at a loss. Like, the amount of electricity to run a prompt is less than they charge you.[00:09:16] Simon: And the same thing for Amazon Nova. Like, somebody found an Amazon executive and got them to say, Yeah, we're not losing money on this. I don't know about Anthropic and OpenAI, but clearly that demonstrates it is possible to run these things at these ludicrously low prices and still not be running at a loss if you discount the Army of PhDs and the, the training costs and all of that kind of stuff.[00:09:36] Brian: One, one more for me before I let Swyx jump in here. To, to come back to DeepSeek and this idea that you could train, you know, a cutting edge model for 6 million. I, I was saying on the show, like six months ago, that if we are getting to the point where each new model It would cost a billion, ten billion, a hundred billion to train that.[00:09:54] Brian: At some point it would almost, only nation states would be able to train the new models. Do you [00:10:00] expect what DeepSeek and maybe others are proving to sort of blow that up? Or is there like some sort of a parallel track here that maybe I'm not technically, I don't have the mouse to understand the difference.[00:10:11] Brian: Is the model, are the models going to go, you know, Up to a hundred billion dollars or can we get them down? Sort of like DeepSeek has proven[00:10:18] Simon: so I'm the wrong person to answer that because I don't work in the lab training these models. So I can give you my completely uninformed opinion, which is, I felt like the DeepSeek thing.[00:10:27] Simon: That was a bomb shell. That was an absolute bombshell when they came out and said, Hey, look, we've trained. One of the best available models and it cost us six, five and a half million dollars to do it. I feel, and they, the reason, one of the reasons it's so efficient is that we put all of these export controls in to stop Chinese companies from giant buying GPUs.[00:10:44] Simon: So they've, were forced to be, go as efficient as possible. And yet the fact that they've demonstrated that that's possible to do. I think it does completely tear apart this, this, this mental model we had before that yeah, the training runs just keep on getting more and more expensive and the number of [00:11:00] organizations that can afford to run these training runs keeps on shrinking.[00:11:03] Simon: That, that's been blown out of the water. So yeah, that's, again, this was our Christmas gift. This was the thing they dropped on Christmas day. Yeah, it makes me really optimistic that we can, there are, It feels like there was so much low hanging fruit in terms of the efficiency of both inference and training and we spent a whole bunch of last year exploring that and getting results from it.[00:11:22] Simon: I think there's probably a lot left. I think there's probably, well, I would not be surprised to see even better models trained spending even less money over the next six months.[00:11:31] swyx (2): Yeah. So I, I think there's a unspoken angle here on what exactly the Chinese labs are trying to do because DeepSea made a lot of noise.[00:11:41] swyx (2): so much for joining us for around the fact that they train their model for six million dollars and nobody quite quite believes them. Like it's very, very rare for a lab to trumpet the fact that they're doing it for so cheap. They're not trying to get anyone to buy them. So why [00:12:00] are they doing this? They make it very, very obvious.[00:12:05] swyx (2): Deepseek is about 150 employees. It's an order of magnitude smaller than at least Anthropic and maybe, maybe more so for OpenAI. And so what's, what's the end game here? Are they, are they just trying to show that the Chinese are better than us?[00:12:21] Simon: So Deepseek, it's the arm of a hedge, it's a, it's a quant fund, right?[00:12:25] Simon: It's an algorithmic quant trading thing. So I, I, I would love to get more insight into how that organization works. My assumption from what I've seen is it looks like they're basically just flexing. They're like, hey, look at how utterly brilliant we are with this amazing thing that we've done. And it's, it's working, right?[00:12:43] Simon: They but, and so is that it? Are they, is this just their kind of like, this is, this is why our company is so amazing. Look at this thing that we've done, or? I don't know. I'd, I'd love to get Some insight from, from within that industry as to, as to how that's all playing out.[00:12:57] swyx (2): The, the prevailing theory among the Local Llama [00:13:00] crew and the Twitter crew that I indexed for my newsletter is that there is some amount of copying going on.[00:13:06] swyx (2): It's like Sam Altman you know, tweet, tweeting about how they're being copied. And then also there's this, there, there are other sort of opening eye employees that have said, Stuff that is similar that DeepSeek's rate of progress is how U. S. intelligence estimates the number of foreign spies embedded in top labs.[00:13:22] swyx (2): Because a lot of these ideas do spread around, but they surprisingly have a very high density of them in the DeepSeek v3 technical report. So it's, it's interesting. We don't know how much, how many, how much tokens. I think that, you know, people have run analysis on how often DeepSeek thinks it is cloud or thinks it is opening GPC 4.[00:13:40] swyx (2): Thanks for watching! And we don't, we don't know. We don't know. I think for me, like, yeah, we'll, we'll, we basically will never know as, as external commentators. I think what's interesting is how, where does this go? Is there a logical floor or bottom by my estimations for the same amount of ELO started last year to the end of last year cost went down by a thousand X for the [00:14:00] GPT, for, for GPT 4 intelligence.[00:14:02] swyx (2): Would, do they go down a thousand X this year?[00:14:04] Simon: That's a fascinating question. Yeah.[00:14:06] swyx (2): Is there a Moore's law going on, or did we just get a one off benefit last year for some weird reason?[00:14:14] Simon: My uninformed hunch is low hanging fruit. I feel like up until a year ago, people haven't been focusing on efficiency at all. You know, it was all about, what can we get these weird shaped things to do?[00:14:24] Simon: And now once we've sort of hit that, okay, we know that we can get them to do what GPT 4 can do, When thousands of researchers around the world all focus on, okay, how do we make this more efficient? What are the most important, like, how do we strip out all of the weights that have stuff in that doesn't really matter?[00:14:39] Simon: All of that kind of thing. So yeah, maybe that was it. Maybe 2024 was a freak year of all of the low hanging fruit coming out at once. And we'll actually see a reduction in the, in that rate of improvement in terms of efficiency. I wonder, I mean, I think we'll know for sure in about three months time if that trend's going to continue or not.[00:14:58] swyx (2): I agree. You know, I [00:15:00] think the other thing that you mentioned that DeepSeq v3 was the gift that was given from DeepSeq over Christmas, but I feel like the other thing that might be underrated was DeepSeq R1,[00:15:11] Speaker 4: which is[00:15:13] swyx (2): a reasoning model you can run on your laptop. And I think that's something that a lot of people are looking ahead to this year.[00:15:18] swyx (2): Oh, did they[00:15:18] Simon: release the weights for that one?[00:15:20] swyx (2): Yeah.[00:15:21] Simon: Oh my goodness, I missed that. I've been playing with the quen. So the other great, the other big Chinese AI app is Alibaba's quen. Actually, yeah, I, sorry, R1 is an API available. Yeah. Exactly. When that's really cool. So Alibaba's Quen have released two reasoning models that I've run on my laptop.[00:15:38] Simon: Now there was, the first one was Q, Q, WQ. And then the second one was QVQ because the second one's a vision model. So you can like give it vision puzzles and a prompt that these things, they are so much fun to run. Because they think out loud. It's like the OpenAR 01 sort of hides its thinking process. The Query ones don't.[00:15:59] Simon: They just, they [00:16:00] just churn away. And so you'll give it a problem and it will output literally dozens of paragraphs of text about how it's thinking. My favorite thing that happened with QWQ is I asked it to draw me a pelican on a bicycle in SVG. That's like my standard stupid prompt. And for some reason it thought in Chinese.[00:16:18] Simon: It spat out a whole bunch of like Chinese text onto my terminal on my laptop, and then at the end it gave me quite a good sort of artistic pelican on a bicycle. And I ran it all through Google Translate, and yeah, it was like, it was contemplating the nature of SVG files as a starting point. And the fact that my laptop can think in Chinese now is so delightful.[00:16:40] Simon: It's so much fun watching you do that.[00:16:43] swyx (2): Yeah, I think Andrej Karpathy was saying, you know, we, we know that we have achieved proper reasoning inside of these models when they stop thinking in English, and perhaps the best form of thought is in Chinese. But yeah, for listeners who don't know Simon's blog he always, whenever a new model comes out, you, I don't know how you do it, but [00:17:00] you're always the first to run Pelican Bench on these models.[00:17:02] swyx (2): I just did it for 5.[00:17:05] Simon: Yeah.[00:17:07] swyx (2): So I really appreciate that. You should check it out. These are not theoretical. Simon's blog actually shows them.[00:17:12] Brian: Let me put on the investor hat for a second.[00:17:15] AI Agents and Their Limitations[00:17:15] Brian: Because from the investor side of things, a lot of the, the VCs that I know are really hot on agents, and this is the year of agents, but last year was supposed to be the year of agents as well. Lots of money flowing towards, And Gentic startups.[00:17:32] Brian: But in in your piece that again, we're hopefully going to have linked in the show notes, you sort of suggest there's a fundamental flaw in AI agents as they exist right now. Let me let me quote you. And then I'd love to dive into this. You said, I remain skeptical as to their ability based once again, on the Challenge of gullibility.[00:17:49] Brian: LLMs believe anything you tell them, any systems that attempt to make meaningful decisions on your behalf, will run into the same roadblock. How good is a travel agent, or a digital assistant, or even a research tool, if it [00:18:00] can't distinguish truth from fiction? So, essentially, what you're suggesting is that the state of the art now that allows agents is still, it's still that sort of 90 percent problem, the edge problem, getting to the Or, or, or is there a deeper flaw?[00:18:14] Brian: What are you, what are you saying there?[00:18:16] Simon: So this is the fundamental challenge here and honestly my frustration with agents is mainly around definitions Like any if you ask anyone who says they're working on agents to define agents You will get a subtly different definition from each person But everyone always assumes that their definition is the one true one that everyone else understands So I feel like a lot of these agent conversations, people talking past each other because one person's talking about the, the sort of travel agent idea of something that books things on your behalf.[00:18:41] Simon: Somebody else is talking about LLMs with tools running in a loop with a cron job somewhere and all of these different things. You, you ask academics and they'll laugh at you because they've been debating what agents mean for over 30 years at this point. It's like this, this long running, almost sort of an in joke in that community.[00:18:57] Simon: But if we assume that for this purpose of this conversation, an [00:19:00] agent is something that, Which you can give a job and it goes off and it does that thing for you like, like booking travel or things like that. The fundamental challenge is, it's the reliability thing, which comes from this gullibility problem.[00:19:12] Simon: And a lot of my, my interest in this originally came from when I was thinking about prompt injections as a source of this form of attack against LLM systems where you deliberately lay traps out there for this LLM to stumble across,[00:19:24] Brian: and which I should say you have been banging this drum that no one's gotten any far, at least on solving this, that I'm aware of, right.[00:19:31] Brian: Like that's still an open problem. The two years.[00:19:33] Simon: Yeah. Right. We've been talking about this problem and like, a great illustration of this was Claude so Anthropic released Claude computer use a few months ago. Fantastic demo. You could fire up a Docker container and you could literally tell it to do something and watch it open a web browser and navigate to a webpage and click around and so forth.[00:19:51] Simon: Really, really, really interesting and fun to play with. And then, um. One of the first demos somebody tried was, what if you give it a web page that says download and run this [00:20:00] executable, and it did, and the executable was malware that added it to a botnet. So the, the very first most obvious dumb trick that you could play on this thing just worked, right?[00:20:10] Simon: So that's obviously a really big problem. If I'm going to send something out to book travel on my behalf, I mean, it's hard enough for me to figure out which airlines are trying to scam me and which ones aren't. Do I really trust a language model that believes the literal truth of anything that's presented to it to go out and do those things?[00:20:29] swyx (2): Yeah I definitely think there's, it's interesting to see Anthropic doing this because they used to be the safety arm of OpenAI that split out and said, you know, we're worried about letting this thing out in the wild and here they are enabling computer use for agents. Thanks. The, it feels like things have merged.[00:20:49] swyx (2): You know, I'm, I'm also fairly skeptical about, you know, this always being the, the year of Linux on the desktop. And this is the equivalent of this being the year of agents that people [00:21:00] are not predicting so much as wishfully thinking and hoping and praying for their companies and agents to work.[00:21:05] swyx (2): But I, I feel like things are. Coming along a little bit. It's to me, it's kind of like self driving. I remember in 2014 saying that self driving was just around the corner. And I mean, it kind of is, you know, like in, in, in the Bay area. You[00:21:17] Simon: get in a Waymo and you're like, Oh, this works. Yeah, but it's a slow[00:21:21] swyx (2): cook.[00:21:21] swyx (2): It's a slow cook over the next 10 years. We're going to hammer out these things and the cynical people can just point to all the flaws, but like, there are measurable or concrete progress steps that are being made by these builders.[00:21:33] Simon: There is one form of agent that I believe in. I believe, mostly believe in the research assistant form of agents.[00:21:39] Simon: The thing where you've got a difficult problem and, and I've got like, I'm, I'm on the beta for the, the Google Gemini 1. 5 pro with deep research. I think it's called like these names, these names. Right. But. I've been using that. It's good, right? You can give it a difficult problem and it tells you, okay, I'm going to look at 56 different websites [00:22:00] and it goes away and it dumps everything to its context and it comes up with a report for you.[00:22:04] Simon: And it's not, it won't work against adversarial websites, right? If there are websites with deliberate lies in them, it might well get caught out. Most things don't have that as a problem. And so I've had some answers from that which were genuinely really valuable to me. And that feels to me like, I can see how given existing LLM tech, especially with Google Gemini with its like million token contacts and Google with their crawl of the entire web and their, they've got like search, they've got search and cache, they've got a cache of every page and so forth.[00:22:35] Simon: That makes sense to me. And that what they've got right now, I don't think it's, it's not as good as it can be, obviously, but it's, it's, it's, it's a real useful thing, which they're going to start rolling out. So, you know, Perplexity have been building the same thing for a couple of years. That, that I believe in.[00:22:50] Simon: You know, if you tell me that you're going to have an agent that's a research assistant agent, great. The coding agents I mean, chat gpt code interpreter, Nearly two years [00:23:00] ago, that thing started writing Python code, executing the code, getting errors, rewriting it to fix the errors. That pattern obviously works.[00:23:07] Simon: That works really, really well. So, yeah, coding agents that do that sort of error message loop thing, those are proven to work. And they're going to keep on getting better, and that's going to be great. The research assistant agents are just beginning to get there. The things I'm critical of are the ones where you trust, you trust this thing to go out and act autonomously on your behalf, and make decisions on your behalf, especially involving spending money, like that.[00:23:31] Simon: I don't see that working for a very long time. That feels to me like an AGI level problem.[00:23:37] swyx (2): It's it's funny because I think Stripe actually released an agent toolkit which is one of the, the things I featured that is trying to enable these agents each to have a wallet that they can go and spend and have, basically, it's a virtual card.[00:23:49] swyx (2): It's not that, not that difficult with modern infrastructure. can[00:23:51] Simon: stick a 50 cap on it, then at least it's an honor. Can't lose more than 50.[00:23:56] Brian: You know I don't, I don't know if either of you know Rafat Ali [00:24:00] he runs Skift, which is a, a travel news vertical. And he, he, he constantly laughs at the fact that every agent thing is, we're gonna get rid of booking a, a plane flight for you, you know?[00:24:11] Brian: And, and I would point out that, like, historically, when the web started, the first thing everyone talked about is, You can go online and book a trip, right? So it's funny for each generation of like technological advance. The thing they always want to kill is the travel agent. And now they want to kill the webpage travel agent.[00:24:29] Simon: Like it's like I use Google flight search. It's great, right? If you gave me an agent to do that for me, it would save me, I mean, maybe 15 seconds of typing in my things, but I still want to see what my options are and go, yeah, I'm not flying on that airline, no matter how cheap they are.[00:24:44] swyx (2): Yeah. For listeners, go ahead.[00:24:47] swyx (2): For listeners, I think, you know, I think both of you are pretty positive on NotebookLM. And you know, we, we actually interviewed the NotebookLM creators, and there are actually two internal agents going on internally. The reason it takes so long is because they're running an agent loop [00:25:00] inside that is fairly autonomous, which is kind of interesting.[00:25:01] swyx (2): For one,[00:25:02] Simon: for a definition of agent loop, if you picked that particularly well. For one definition. And you're talking about the podcast side of this, right?[00:25:07] swyx (2): Yeah, the podcast side of things. They have a there's, there's going to be a new version coming out that, that we'll be featuring at our, at our conference.[00:25:14] Simon: That one's fascinating to me. Like NotebookLM, I think it's two products, right? On the one hand, it's actually a very good rag product, right? You dump a bunch of things in, you can run searches, that, that, it does a good job of. And then, and then they added the, the podcast thing. It's a bit of a, it's a total gimmick, right?[00:25:30] Simon: But that gimmick got them attention, because they had a great product that nobody paid any attention to at all. And then you add the unfeasibly good voice synthesis of the podcast. Like, it's just, it's, it's, it's the lesson.[00:25:43] Brian: It's the lesson of mid journey and stuff like that. If you can create something that people can post on socials, you don't have to lift a finger again to do any marketing for what you're doing.[00:25:53] Brian: Let me dig into Notebook LLM just for a second as a podcaster. As a [00:26:00] gimmick, it makes sense, and then obviously, you know, you dig into it, it sort of has problems around the edges. It's like, it does the thing that all sort of LLMs kind of do, where it's like, oh, we want to Wrap up with a conclusion.[00:26:12] Multimodal AI and Future Prospects[00:26:12] Brian: I always call that like the the eighth grade book report paper problem where it has to have an intro and then, you know But that's sort of a thing where because I think you spoke about this again in your piece at the year end About how things are going multimodal and how things are that you didn't expect like, you know vision and especially audio I think So that's another thing where, at least over the last year, there's been progress made that maybe you, you didn't think was coming as quick as it came.[00:26:43] Simon: I don't know. I mean, a year ago, we had one really good vision model. We had GPT 4 vision, was, was, was very impressive. And Google Gemini had just dropped Gemini 1. 0, which had vision, but nobody had really played with it yet. Like Google hadn't. People weren't taking Gemini [00:27:00] seriously at that point. I feel like it was 1.[00:27:02] Simon: 5 Pro when it became apparent that actually they were, they, they got over their hump and they were building really good models. And yeah, and they, to be honest, the video models are mostly still using the same trick. The thing where you divide the video up into one image per second and you dump that all into the context.[00:27:16] Simon: So maybe it shouldn't have been so surprising to us that long context models plus vision meant that the video was, was starting to be solved. Of course, it didn't. Not being, you, what you really want with videos, you want to be able to do the audio and the images at the same time. And I think the models are beginning to do that now.[00:27:33] Simon: Like, originally, Gemini 1. 5 Pro originally ignored the audio. It just did the, the, like, one frame per second video trick. As far as I can tell, the most recent ones are actually doing pure multimodal. But the things that opens up are just extraordinary. Like, the the ChatGPT iPhone app feature that they shipped as one of their 12 days of, of OpenAI, I really can be having a conversation and just turn on my video camera and go, Hey, what kind of tree is [00:28:00] this?[00:28:00] Simon: And so forth. And it works. And for all I know, that's just snapping a like picture once a second and feeding it into the model. The, the, the things that you can do with that as an end user are extraordinary. Like that, that to me, I don't think most people have cottoned onto the fact that you can now stream video directly into a model because it, it's only a few weeks old.[00:28:22] Simon: Wow. That's a, that's a, that's a, that's Big boost in terms of what kinds of things you can do with this stuff. Yeah. For[00:28:30] swyx (2): people who are not that close I think Gemini Flashes free tier allows you to do something like capture a photo, one photo every second or a minute and leave it on 24, seven, and you can prompt it to do whatever.[00:28:45] swyx (2): And so you can effectively have your own camera app or monitoring app that that you just prompt and it detects where it changes. It detects for, you know, alerts or anything like that, or describes your day. You know, and, and, and the fact that this is free I think [00:29:00] it's also leads into the previous point of it being the prices haven't come down a lot.[00:29:05] Simon: And even if you're paying for this stuff, like a thing that I put in my blog entry is I ran a calculation on what it would cost to process 68, 000 photographs in my photo collection, and for each one just generate a caption, and using Gemini 1. 5 Flash 8B, it would cost me 1. 68 to process 68, 000 images, which is, I mean, that, that doesn't make sense.[00:29:28] Simon: None of that makes sense. Like it's, it's a, for one four hundredth of a cent per image to generate captions now. So you can see why feeding in a day's worth of video just isn't even very expensive to process.[00:29:40] swyx (2): Yeah, I'll tell you what is expensive. It's the other direction. So we're here, we're talking about consuming video.[00:29:46] swyx (2): And this year, we also had a lot of progress, like probably one of the most excited, excited, anticipated launches of the year was Sora. We actually got Sora. And less exciting.[00:29:55] Simon: We did, and then VO2, Google's Sora, came out like three [00:30:00] days later and upstaged it. Like, Sora was exciting until VO2 landed, which was just better.[00:30:05] swyx (2): In general, I feel the media, or the social media, has been very unfair to Sora. Because what was released to the world, generally available, was Sora Lite. It's the distilled version of Sora, right? So you're, I did not[00:30:16] Simon: realize that you're absolutely comparing[00:30:18] swyx (2): the, the most cherry picked version of VO two, the one that they published on the marketing page to the, the most embarrassing version of the soa.[00:30:25] swyx (2): So of course it's gonna look bad, so, well, I got[00:30:27] Simon: access to the VO two I'm in the VO two beta and I've been poking around with it and. Getting it to generate pelicans on bicycles and stuff. I would absolutely[00:30:34] swyx (2): believe that[00:30:35] Simon: VL2 is actually better. Is Sora, so is full fat Sora coming soon? Do you know, when, when do we get to play with that one?[00:30:42] Simon: No one's[00:30:43] swyx (2): mentioned anything. I think basically the strategy is let people play around with Sora Lite and get info there. But the, the, keep developing Sora with the Hollywood studios. That's what they actually care about. Gotcha. Like the rest of us. Don't really know what to do with the video anyway. Right.[00:30:59] Simon: I mean, [00:31:00] that's my thing is I realized that for generative images and images and video like images We've had for a few years and I don't feel like they've broken out into the talented artist community yet Like lots of people are having fun with them and doing and producing stuff. That's kind of cool to look at but what I want you know that that movie everything everywhere all at once, right?[00:31:20] Simon: One, one ton of Oscars, utterly amazing film. The VFX team for that were five people, some of whom were watching YouTube videos to figure out what to do. My big question for, for Sora and and and Midjourney and stuff, what happens when a creative team like that starts using these tools? I want the creative geniuses behind everything, everywhere all at once.[00:31:40] Simon: What are they going to be able to do with this stuff in like a few years time? Because that's really exciting to me. That's where you take artists who are at the very peak of their game. Give them these new capabilities and see, see what they can do with them.[00:31:52] swyx (2): I should, I know a little bit here. So it should mention that, that team actually used RunwayML.[00:31:57] swyx (2): So there was, there was,[00:31:57] Simon: yeah.[00:31:59] swyx (2): I don't know how [00:32:00] much I don't. So, you know, it's possible to overstate this, but there are people integrating it. Generated video within their workflow, even pre SORA. Right, because[00:32:09] Brian: it's not, it's not the thing where it's like, okay, tomorrow we'll be able to do a full two hour movie that you prompt with three sentences.[00:32:15] Brian: It is like, for the very first part of, of, you know video effects in film, it's like, if you can get that three second clip, if you can get that 20 second thing that they did in the matrix that blew everyone's minds and took a million dollars or whatever to do, like, it's the, it's the little bits and pieces that they can fill in now that it's probably already there.[00:32:34] swyx (2): Yeah, it's like, I think actually having a layered view of what assets people need and letting AI fill in the low value assets. Right, like the background video, the background music and, you know, sometimes the sound effects. That, that maybe, maybe more palatable maybe also changes the, the way that you evaluate the stuff that's coming out.[00:32:57] swyx (2): Because people tend to, in social media, try to [00:33:00] emphasize foreground stuff, main character stuff. So you really care about consistency, and you, you really are bothered when, like, for example, Sorad. Botch's image generation of a gymnast doing flips, which is horrible. It's horrible. But for background crowds, like, who cares?[00:33:18] Brian: And by the way, again, I was, I was a film major way, way back in the day, like, that's how it started. Like things like Braveheart, where they filmed 10 people on a field, and then the computer could turn it into 1000 people on a field. Like, that's always been the way it's around the margins and in the background that first comes in.[00:33:36] Brian: The[00:33:36] Simon: Lord of the Rings movies were over 20 years ago. Although they have those giant battle sequences, which were very early, like, I mean, you could almost call it a generative AI approach, right? They were using very sophisticated, like, algorithms to model out those different battles and all of that kind of stuff.[00:33:52] Simon: Yeah, I know very little. I know basically nothing about film production, so I try not to commentate on it. But I am fascinated to [00:34:00] see what happens when, when these tools start being used by the real, the people at the top of their game.[00:34:05] swyx (2): I would say like there's a cultural war that is more that being fought here than a technology war.[00:34:11] swyx (2): Most of the Hollywood people are against any form of AI anyway, so they're busy Fighting that battle instead of thinking about how to adopt it and it's, it's very fringe. I participated here in San Francisco, one generative AI video creative hackathon where the AI positive artists actually met with technologists like myself and then we collaborated together to build short films and that was really nice and I think, you know, I'll be hosting some of those in my events going forward.[00:34:38] swyx (2): One thing that I think like I want to leave it. Give people a sense of it's like this is a recap of last year But then sometimes it's useful to walk away as well with like what can we expect in the future? I don't know if you got anything. I would also call out that the Chinese models here have made a lot of progress Hyde Law and Kling and God knows who like who else in the video arena [00:35:00] Also making a lot of progress like surprising him like I think maybe actually Chinese China is surprisingly ahead with regards to Open8 at least, but also just like specific forms of video generation.[00:35:12] Simon: Wouldn't it be interesting if a film industry sprung up in a country that we don't normally think of having a really strong film industry that was using these tools? Like, that would be a fascinating sort of angle on this. Mm hmm. Mm hmm.[00:35:25] swyx (2): Agreed. I, I, I Oh, sorry. Go ahead.[00:35:29] Exploring Video Avatar Companies[00:35:29] swyx (2): Just for people's Just to put it on people's radar as well, Hey Jen, there's like there's a category of video avatar companies that don't specifically, don't specialize in general video.[00:35:41] swyx (2): They only do talking heads, let's just say. And HeyGen sings very well.[00:35:45] Brian: Swyx, you know that that's what I've been using, right? Like, have, have I, yeah, right. So, if you see some of my recent YouTube videos and things like that, where, because the beauty part of the HeyGen thing is, I, I, I don't want to use the robot voice, so [00:36:00] I record the mp3 file for my computer, And then I put that into HeyGen with the avatar that I've trained it on, and all it does is the lip sync.[00:36:09] Brian: So it looks, it's not 100 percent uncanny valley beatable, but it's good enough that if you weren't looking for it, it's just me sitting there doing one of my clips from the show. And, yeah, so, by the way, HeyGen. Shout out to them.[00:36:24] AI Influencers and Their Future[00:36:24] swyx (2): So I would, you know, in terms of like the look ahead going, like, looking, reviewing 2024, looking at trends for 2025, I would, they basically call this out.[00:36:33] swyx (2): Meta tried to introduce AI influencers and failed horribly because they were just bad at it. But at some point that there will be more and more basically AI influencers Not in a way that Simon is but in a way that they are not human.[00:36:50] Simon: Like the few of those that have done well, I always feel like they're doing well because it's a gimmick, right?[00:36:54] Simon: It's a it's it's novel and fun to like Like that, the AI Seinfeld thing [00:37:00] from last year, the Twitch stream, you know, like those, if you're the only one or one of just a few doing that, you'll get, you'll attract an audience because it's an interesting new thing. But I just, I don't know if that's going to be sustainable longer term or not.[00:37:11] Simon: Like,[00:37:12] Simplifying Content Creation with AI[00:37:12] Brian: I'm going to tell you, Because I've had discussions, I can't name the companies or whatever, but, so think about the workflow for this, like, now we all know that on TikTok and Instagram, like, holding up a phone to your face, and doing like, in my car video, or walking, a walk and talk, you know, that's, that's very common, but also, if you want to do a professional sort of talking head video, you still have to sit in front of a camera, you still have to do the lighting, you still have to do the video editing, versus, if you can just record, what I'm saying right now, the last 30 seconds, If you clip that out as an mp3 and you have a good enough avatar, then you can put that avatar in front of Times Square, on a beach, or whatever.[00:37:50] Brian: So, like, again for creators, the reason I think Simon, we're on the verge of something, it, it just, it's not going to, I think it's not, oh, we're going to have [00:38:00] AI avatars take over, it'll be one of those things where it takes another piece of the workflow out and simplifies it. I'm all[00:38:07] Simon: for that. I, I always love this stuff.[00:38:08] Simon: I like tools. Tools that help human beings do more. Do more ambitious things. I'm always in favor of, like, that, that, that's what excites me about this entire field.[00:38:17] swyx (2): Yeah. We're, we're looking into basically creating one for my podcast. We have this guy Charlie, he's Australian. He's, he's not real, but he pre, he opens every show and we are gonna have him present all the shorts.[00:38:29] Simon: Yeah, go ahead.[00:38:30] The Importance of Credibility in AI[00:38:30] Simon: The thing that I keep coming back to is this idea of credibility like in a world that is full of like AI generated everything and so forth It becomes even more important that people find the sources of information that they trust and find people and find Sources that are credible and I feel like that's the one thing that LLMs and AI can never have is credibility, right?[00:38:49] Simon: ChatGPT can never stake its reputation on telling you something useful and interesting because That means nothing, right? It's a matrix multiplication. It depends on who prompted it and so forth. So [00:39:00] I'm always, and this is when I'm blogging as well, I'm always looking for, okay, who are the reliable people who will tell me useful, interesting information who aren't just going to tell me whatever somebody's paying them to tell, tell them, who aren't going to, like, type a one sentence prompt into an LLM and spit out an essay and stick it online.[00:39:16] Simon: And that, that to me, Like, earning that credibility is really important. That's why a lot of my ethics around the way that I publish are based on the idea that I want people to trust me. I want to do things that, that gain credibility in people's eyes so they will come to me for information as a trustworthy source.[00:39:32] Simon: And it's the same for the sources that I'm, I'm consulting as well. So that's something I've, I've been thinking a lot about that sort of credibility focus on this thing for a while now.[00:39:40] swyx (2): Yeah, you can layer or structure credibility or decompose it like so one thing I would put in front of you I'm not saying that you should Agree with this or accept this at all is that you can use AI to generate different Variations and then and you pick you as the final sort of last mile person that you pick The last output and [00:40:00] you put your stamp of credibility behind that like that everything's human reviewed instead of human origin[00:40:04] Simon: Yeah, if you publish something you need to be able to put it on the ground Publishing it.[00:40:08] Simon: You need to say, I will put my name to this. I will attach my credibility to this thing. And if you're willing to do that, then, then that's great.[00:40:16] swyx (2): For creators, this is huge because there's a fundamental asymmetry between starting with a blank slate versus choosing from five different variations.[00:40:23] Brian: Right.[00:40:24] Brian: And also the key thing that you just said is like, if everything that I do, if all of the words were generated by an LLM, if the voice is generated by an LLM. If the video is also generated by the LLM, then I haven't done anything, right? But if, if one or two of those, you take a shortcut, but it's still, I'm willing to sign off on it.[00:40:47] Brian: Like, I feel like that's where I feel like people are coming around to like, this is maybe acceptable, sort of.[00:40:53] Simon: This is where I've been pushing the definition. I love the term slop. Where I've been pushing the definition of slop as AI generated [00:41:00] content that is both unrequested and unreviewed and the unreviewed thing is really important like that's the thing that elevates something from slop to not slop is if A human being has reviewed it and said, you know what, this is actually worth other people's time.[00:41:12] Simon: And again, I'm willing to attach my credibility to it and say, hey, this is worthwhile.[00:41:16] Brian: It's, it's, it's the cura curational, curatorial and editorial part of it that no matter what the tools are to do shortcuts, to do, as, as Swyx is saying choose between different edits or different cuts, but in the end, if there's a curatorial mind, Or editorial mind behind it.[00:41:32] Brian: Let me I want to wedge this in before we start to close.[00:41:36] The Future of LLM User Interfaces[00:41:36] Brian: One of the things coming back to your year end piece that has been a something that I've been banging the drum about is when you're talking about LLMs. Getting harder to use. You said most users are thrown in at the deep end.[00:41:48] Brian: The default LLM chat UI is like taking brand new computer users, dropping them into a Linux terminal and expecting them to figure it all out. I mean, it's, it's literally going back to the command line. The command line was defeated [00:42:00] by the GUI interface. And this is what I've been banging the drum about is like, this cannot be.[00:42:05] Brian: The user interface, what we have now cannot be the end result. Do you see any hints or seeds of a GUI moment for LLM interfaces?[00:42:17] Simon: I mean, it has to happen. It absolutely has to happen. The the, the, the, the usability of these things is turning into a bit of a crisis. And we are at least seeing some really interesting innovation in little directions.[00:42:28] Simon: Just like OpenAI's chat GPT canvas thing that they just launched. That is at least. Going a little bit more interesting than just chat, chats and responses. You know, you can, they're exploring that space where you're collaborating with an LLM. You're both working in the, on the same document. That makes a lot of sense to me.[00:42:44] Simon: Like that, that feels really smart. The one of the best things is still who was it who did the, the UI where you could, they had a drawing UI where you draw an interface and click a button. TL draw would then make it real thing. That was spectacular, [00:43:00] absolutely spectacular, like, alternative vision of how you'd interact with these models.[00:43:05] Simon: Because yeah, the and that's, you know, so I feel like there is so much scope for innovation there and it is beginning to happen. Like, like, I, I feel like most people do understand that we need to do better in terms of interfaces that both help explain what's going on and give people better tools for working with models.[00:43:23] Simon: I was going to say, I want to[00:43:25] Brian: dig a little deeper into this because think of the conceptual idea behind the GUI, which is instead of typing into a command line open word. exe, it's, you, you click an icon, right? So that's abstracting away sort of the, again, the programming stuff that like, you know, it's, it's a, a, a child can tap on an iPad and, and make a program open, right?[00:43:47] Brian: The problem it seems to me right now with how we're interacting with LLMs is it's sort of like you know a dumb robot where it's like you poke it and it goes over here, but no, I want it, I want to go over here so you poke it this way and you can't get it exactly [00:44:00] right, like, what can we abstract away from the From the current, what's going on that, that makes it more fine tuned and easier to get more precise.[00:44:12] Brian: You see what I'm saying?[00:44:13] Simon: Yes. And the this is the other trend that I've been following from the last year, which I think is super interesting. It's the, the prompt driven UI development thing. Basically, this is the pattern where Claude Artifacts was the first thing to do this really well. You type in a prompt and it goes, Oh, I should answer that by writing a custom HTML and JavaScript application for you that does a certain thing.[00:44:35] Simon: And when you think about that take and since then it turns out This is easy, right? Every decent LLM can produce HTML and JavaScript that does something useful. So we've actually got this alternative way of interacting where they can respond to your prompt with an interactive custom interface that you can work with.[00:44:54] Simon: People haven't quite wired those back up again. Like, ideally, I'd want the LLM ask me a [00:45:00] question where it builds me a custom little UI, For that question, and then it gets to see how I interacted with that. I don't know why, but that's like just such a small step from where we are right now. But that feels like such an obvious next step.[00:45:12] Simon: Like an LLM, why should it, why should you just be communicating with, with text when it can build interfaces on the fly that let you select a point on a map or or move like sliders up and down. It's gonna create knobs and dials. I keep saying knobs and dials. right. We can do that. And the LLMs can build, and Claude artifacts will build you a knobs and dials interface.[00:45:34] Simon: But at the moment they haven't closed the loop. When you twiddle those knobs, Claude doesn't see what you were doing. They're going to close that loop. I'm, I'm shocked that they haven't done it yet. So yeah, I think there's so much scope for innovation and there's so much scope for doing interesting stuff with that model where the LLM, anything you can represent in SVG, which is almost everything, can now be part of that ongoing conversation.[00:45:59] swyx (2): Yeah, [00:46:00] I would say the best executed version of this I've seen so far is Bolt where you can literally type in, make a Spotify clone, make an Airbnb clone, and it actually just does that for you zero shot with a nice design.[00:46:14] Simon: There's a benchmark for that now. The LMRena people now have a benchmark that is zero shot app, app generation, because all of the models can do it.[00:46:22] Simon: Like it's, it's, I've started figuring out. I'm building my own version of this for my own project, because I think within six months. I think it'll just be an expected feature. Like if you have a web application, why don't you have a thing where, oh, look, the, you can add a custom, like, so for my dataset data exploration project, I want you to be able to do things like conjure up a dashboard, just via a prompt.[00:46:43] Simon: You say, oh, I need a pie chart and a bar chart and put them next to each other, and then have a form where submitting the form inserts a row into my database table. And this is all suddenly feasible. It's, it's, it's not even particularly difficult to do, which is great. Utterly bizarre that these things are now easy.[00:47:00][00:47:00] swyx (2): I think for a general audience, that is what I would highlight, that software creation is becoming easier and easier. Gemini is now available in Gmail and Google Sheets. I don't write my own Google Sheets formulas anymore, I just tell Gemini to do it. And so I think those are, I almost wanted to basically somewhat disagree with, with your assertion that LMS got harder to use.[00:47:22] swyx (2): Like, yes, we, we expose more capabilities, but they're, they're in minor forms, like using canvas, like web search in, in in chat GPT and like Gemini being in, in Excel sheets or in Google sheets, like, yeah, we're getting, no,[00:47:37] Simon: no, no, no. Those are the things that make it harder, because the problem is that for each of those features, they're amazing.[00:47:43] Simon: If you understand the edges of the feature, if you're like, okay, so in Google, Gemini, Excel formulas, I can get it to do a certain amount of things, but I can't get it to go and read a web. You probably can't get it to read a webpage, right? But you know, there are, there are things that it can do and things that it can't do, which are completely undocumented.[00:47:58] Simon: If you ask it what it [00:48:00] can and can't do, they're terrible at answering questions about that. So like my favorite example is Claude artifacts. You can't build a Claude artifact that can hit an API somewhere else. Because the cause headers on that iframe prevents accessing anything outside of CDNJS. So, good luck learning cause headers as an end user in order to understand why Like, I've seen people saying, oh, this is rubbish.[00:48:26] Simon: I tried building an artifact that would run a prompt and it couldn't because Claude didn't expose an API with cause headers that all of this stuff is so weird and complicated. And yeah, like that, that, the more that with the more tools we add, the more expertise you need to really, To understand the full scope of what you can do.[00:48:44] Simon: And so it's, it's, I wouldn't say it's, it's, it's, it's like, the question really comes down to what does it take to understand the full extent of what's possible? And honestly, that, that's just getting more and more involved over time.[00:48:58] Local LLMs: A Growing Interest[00:48:58] swyx (2): I have one more topic that I, I [00:49:00] think you, you're kind of a champion of and we've touched on it a little bit, which is local LLMs.[00:49:05] swyx (2): And running AI applications on your desktop, I feel like you are an early adopter of many, many things.[00:49:12] Simon: I had an interesting experience with that over the past year. Six months ago, I almost completely lost interest. And the reason is that six months ago, the best local models you could run, There was no point in using them at all, because the best hosted models were so much better.[00:49:26] Simon: Like, there was no point at which I'd choose to run a model on my laptop if I had API access to Cloud 3. 5 SONNET. They just, they weren't even comparable. And that changed, basically, in the past three months, as the local models had this step changing capability, where now I can run some of these local models, and they're not as good as Cloud 3.[00:49:45] Simon: 5 SONNET, but they're not so far away that It's not worth me even using them. The other, the, the, the, the continuing problem is I've only got 64 gigabytes of RAM, and if you run, like, LLAMA370B, it's not going to work. Most of my RAM is gone. So now I have to shut down my Firefox tabs [00:50:00] and, and my Chrome and my VS Code windows in order to run it.[00:50:03] Simon: But it's got me interested again. Like, like the, the efficiency improvements are such that now, if you were to like stick me on a desert island with my laptop, I'd be very productive using those local models. And that's, that's pretty exciting. And if those trends continue, and also, like, I think my next laptop, if when I buy one is going to have twice the amount of RAM, At which point, maybe I can run the, almost the top tier, like open weights models and still be able to use it as a computer as well.[00:50:32] Simon: NVIDIA just announced their 3, 000 128 gigabyte monstrosity. That's pretty good price. You know, that's that's, if you're going to buy it,[00:50:42] swyx (2): custom OS and all.[00:50:46] Simon: If I get a job, if I, if, if, if I have enough of an income that I can justify blowing $3,000 on it, then yes.[00:50:52] swyx (2): Okay, let's do a GoFundMe to get Simon one it.[00:50:54] swyx (2): Come on. You know, you can get a job anytime you want. Is this, this is just purely discretionary .[00:50:59] Simon: I want, [00:51:00] I want a job that pays me to do exactly what I'm doing already and doesn't tell me what else to do. That's, thats the challenge.[00:51:06] swyx (2): I think Ethan Molik does pretty well. Whatever, whatever it is he's doing.[00:51:11] swyx (2): But yeah, basically I was trying to bring in also, you know, not just local models, but Apple intelligence is on every Mac machine. You're, you're, you seem skeptical. It's rubbish.[00:51:21] Simon: Apple intelligence is so bad. It's like, it does one thing well.[00:51:25] swyx (2): Oh yeah, what's that? It summarizes notifications. And sometimes it's humorous.[00:51:29] Brian: Are you sure it does that well? And also, by the way, the other, again, from a sort of a normie point of view. There's no indication from Apple of when to use it. Like, everybody upgrades their thing and it's like, okay, now you have Apple Intelligence, and you never know when to use it ever again.[00:51:47] swyx (2): Oh, yeah, you consult the Apple docs, which is MKBHD.[00:51:49] swyx (2): The[00:51:51] Simon: one thing, the one thing I'll say about Apple Intelligence is, One of the reasons it's so disappointing is that the models are just weak, but now, like, Llama 3b [00:52:00] is Such a good model in a 2 gigabyte file I think give Apple six months and hopefully they'll catch up to the state of the art on the small models And then maybe it'll start being a lot more interesting.[00:52:10] swyx (2): Yeah. Anyway, I like This was year one And and you know just like our first year of iPhone maybe maybe not that much of a hit and then year three They had the App Store so Hey I would say give it some time, and you know, I think Chrome also shipping Gemini Nano I think this year in Chrome, which means that every app, every web app will have for free access to a local model that just ships in the browser, which is kind of interesting.[00:52:38] swyx (2): And then I, I think I also wanted to just open the floor for any, like, you know, any of us what are the apps that, you know, AI applications that we've adopted that have, that we really recommend because these are all, you know, apps that are running on our browser that like, or apps that are running locally that we should be, that, that other people should be trying.[00:52:55] swyx (2): Right? Like, I, I feel like that's, that's one always one thing that is helpful at the start of the [00:53:00] year.[00:53:00] Simon: Okay. So for running local models. My top picks, firstly, on the iPhone, there's this thing called MLC Chat, which works, and it's easy to install, and it runs Llama 3B, and it's so much fun. Like, it's not necessarily a capable enough novel that I use it for real things, but my party trick right now is I get my phone to write a Netflix Christmas movie plot outline where, like, a bunch of Jeweller falls in love with the King of Sweden or whatever.[00:53:25] Simon: And it does a good job and it comes up with pun names for the movies. And that's, that's deeply entertaining. On my laptop, most recently, I've been getting heavy into, into Olama because the Olama team are very, very good at finding the good models and patching them up and making them work well. It gives you an API.[00:53:42] Simon: My little LLM command line tool that has a plugin that talks to Olama, which works really well. So that's my, my Olama is. I think the easiest on ramp to to running models locally, if you want a nice user interface, LMStudio is, I think, the best user interface [00:54:00] thing at that. It's not open source. It's good.[00:54:02] Simon: It's worth playing with. The other one that I've been trying with recently, there's a thing called, what's it called? Open web UI or something. Yeah. The UI is fantastic. It, if you've got Olama running and you fire this thing up, it spots Olama and it gives you an interface onto your Olama models. And t

It's been a tough week for the markets, with bitcoin gyrating from $102,400 to $92,000.  Travis Kling, CIO of Ikigai Asset Management, shares his thoughts on the selloff, whether this market dip is a cause for alarm, and how macro factors like the Fed's rate policy and ETF dynamics are shaping the landscape.  Plus, he dives into the explosive growth of AI agents and why crypto investors should start paying attention to this new frontier. Could AI agents revolutionize crypto, or are we witnessing another bubble? Show highlights: 01:49 Why Travis believes this market selloff was “abnormal” 04:31 Whether he thinks the DOJ will sell Silk Road's $6 billion worth of BTC from Silk Road 07:36 Why Travis is supportive of a US bitcoin strategic reserve 17:15 Why inflation and policy shifts might keep Fed rates steady 22:30 What explains the significant outflows from bitcoin spot ETFs on Wednesday 24:37 Whether Travis thinks the AI agent rise is a bubble  Visit our website for breaking news, analysis, op-eds, articles to learn about crypto, and much more: unchainedcrypto.com Thank you to our sponsors! Stellar Build Better Polkadot Guest Travis Kling, Chief Investment Officer of Ikigai Asset Management Previous appearances on Unchained:  With Rate Cuts and Upcoming Elections, What's the Best Play in Crypto? With the Merge, Will Ethereum Take Over Bitcoin's Title as Digital Gold Links Previous coverage of Unchained on AI agents: 2025 Will Be a Year of Crypto Competition. Can Ethereum Make a Comeback? With AI Agents Now Trading Crypto, What Does Their Future Look Like? Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Jake and Matt speak with Sheri Kling who is an author, speaker, singer, and spiritual mentor offering courses, keynote concerts, retreats, and one-on-one soul work for wholeness, purpose, passion, and joy. Dr. Sheri has spent a lifetime focusing on transformation and human flourishing. Her specialty is harnessing proven wisdom from a range of sources to address the individual and societal problems that keep us divided and suffering. The Renewing Faith conference is a three day online event (Jan 23-25, 2025) sponsored by Process and Faith, and the Center for Process Studies. It is designed specifically for forward-looking Christian pastors, staff members, lay leaders, spiritual directors, chaplains, and those outside traditional church settings - whether you consider yourself a progressive mainliner, a quiet contemplative, a spiritual seeker, or a “deconstructing” post-evangelical - who are seeking to reignite their passion and find life-giving purpose in their faith journeys. For more information: https://processandfaith.org/renewing-faith/#main warmachinepodcast.com Music for this episode: Untitled Intro Music, Matt Baker Nomad's Theme, Matt Baker

In this episode, Travis Kling joins the show to discuss financial nihilism, the logistics of a Bitcoin strategic reserve, and the potential impact of the incoming administration. We also delve into the crypto market outlook, product market fit across the industry, and much more. Enjoy! — Follow Travis Kling: https://x.com/Travis_Kling Follow Felix: https://x.com/fejau_inc Follow On The Margin: https://twitter.com/OnTheMarginPod Follow Blockworks: https://twitter.com/Blockworks_ — Ledger, the global leader in digital asset security, proudly sponsors On The Margin. As Bitcoin adoption grows, Ledger celebrates 10 years of securing over 20% of the world's crypto. Buy a LEDGER™ device now for true self-custody and peace of mind in securing your Bitcoin. Devices are also available in Bitcoin orange. For every device ordered in BTC Orange, we'll donate $5 to brink.dev. Buy now at Ledger.com. MANTRA is a purpose-built RWA Layer 1 blockchain capable of adherence and enforcement of real world regulatory requirements. As a permissionless chain, MANTRA empowers developers and institutions to seamlessly participate in the evolving RWA tokenization space by offering advanced tech modules, compliance mechanisms, and cross-chain interoperability. Key Features: Built using Cosmos SDK, IBC compatible, with CosmWasm supported Secured via a sovereign PoS validator set Scalable up to 10k TPS Built-in Modules, SDKs and APIs to create, trade and manage regulatory compliant RWAs Improved User Experience to onboard non-native users and institutions to Web3 Learn more: https://www.mantrachain.io/ — Join us at Digital Asset Summit 2025 March 18th - 20th. Use code MARGIN10 for 10% off general admission! https://blockworks.co/event/digital-asset-summit-2025-new-york — Timestamps: (00:00) Introduction (01:32) Macro Outlook (06:26) Philosophical Vibe Shift (11:51) Financial Nihilism (15:52) Unpacking The Next Administration (19:24) Misaligned Incentives (22:35) Ads (23:59) Bitcoin Strategic Reserve (36:51) BSR & The US Dollar (45:42) Crypto Market Outlook (48:40) Crypto Product Market Fit (53:53) Fundamentals Bearish? (55:42) Learn More About Travis' Work — Disclaimer: Nothing discussed on On The Margin should be considered as investment advice. Please always do your own research & speak to a financial advisor before thinking about, thinking about putting your money into these crazy markets.

In this special crossover episode with On the Margin, Travis Kling joins the show to discuss financial nihilism, the logistics of a Bitcoin strategic reserve, and the potential impact of the incoming administration. We also delve into the crypto market outlook, product market fit across the industry, and much more. Enjoy! — Follow Travis Kling: https://x.com/Travis_Kling Follow Felix: https://x.com/fejau_inc Follow Forward Guidance: https://twitter.com/ForwardGuidance Follow Blockworks: https://twitter.com/Blockworks_ Forward Guidance Newsletter: https://blockworks.co/newsletter/forwardguidance Forward Guidance Telegram: https://t.co/G7Ljv4x5Dp — Join us at Digital Asset Summit 2025 March 18th - 20th. Use code FG10 for 10% off general admission! https://blockworks.co/event/digital-asset-summit-2025-new-york __ SKALE is the next evolution in Layer 1 blockchains with a gas-free invisible user experience, instant finality, high speed, and robust security. SKALE is built different as it allows for limitless scalability and has already saved its 46 Million users over $9 Billion in gas fees. SKALE is high-performance and cost-effective, making it ideal for compute-intensive applications like AI, gaming, and consumer-facing dApps. Learn more at skale.space and stay up to date with the gas-free invisible blockchain on X at @skalenetwork GlobalStake delivers institutional-grade staking with self-owned, SOC2-certified bare-metal infrastructure, carbon-negative operations, and comprehensive security. Enjoy competitive pricing, decentralized operations, and slashing insurance backed by top-rated carriers. Learn more at globalstake.io Meet Kraken Institutional. Whether you're an asset allocator, a trading firm or high net worth individual, Kraken Institutional unlocks the powerful tools you and your organization need to trade and manage crypto — at scale. Reliable, easy to integrate, with white-glove service and 24/7 support. Get in touch today at https://blckwrks.co/Kraken — Timestamps: (00:00) Introduction (02:20) Macro Outlook (07:14) Philosophical Vibe Shift (12:39) Financial Nihilism (16:40) Unpacking The Next Administration (20:11) Misaligned Incentives (23:23) Ads (25:24) Bitcoin Strategic Reserve (38:15) BSR & The US Dollar (47:06) Crypto Market Outlook (50:04) Crypto Product Market Fit (55:18) Fundamentals Bearish? (57:07) Learn More About Travis' Work __ Disclaimer: Nothing discussed on Forward Guidance should be considered as investment advice. Please always do your own research & speak to a financial advisor before thinking about, thinking about putting your money into these crazy markets.

Timestamps: (0:00) Jason and Sunny kick off the show (1:26) Discussing Grok's recent developments and Middle East tech inspiration (3:51) Global business challenges and Jason's 2025 announcements (7:53) Gemini app demo and ChatGPT 4 comparison (9:57) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist (11:24) Evaluating ChatGPT 4.0 Pro limitations and robo-taxi fleet costs (12:46) Differences between ChatGPT models and future improvements (19:57) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist⁠ (20:58) LLM focus shift and robo taxi cost model experimentation (23:01) Importance of prompt engineering in AI tools adoption (25:31) Workplace AI adoption challenges and generational tech differences (27:22) New productivity hacks and Gemini app's growth (30:27) Zendesk - Get six months free at https://www.zendesk.com/twist (34:06) Startup support programs and Google Gemini's research capabilities (37:08) AI model performance evaluation and simplification (45:02) Meta's Llama 3.370b launch and AI industry impact (46:37) Infrastructure costs, competitive landscape, and AI-generated content evolution (55:44) Trust and bias in language models, news analysis startup ideas * Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp * Mentioned on the show: Check out Sora here: https://sora.com/ Check out Kling here: https://klingai.com/ Check out Groq: https://groq.com/ * Follow Sunny: X: https://x.com/sundeep LinkedIn: https://www.linkedin.com/in/sundeepm * Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Thank you to our partners: (9:57) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist (19:57) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist⁠ (30:27) Zendesk - Get six months free at https://www.zendesk.com/twist * Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland * Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com * Subscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

This week, Dr. Sheri Kling joined me to discuss her Process Spirituality and an upcoming online conference called "Renewing Faith". Kling has done a lot of work integrating the work of Alfred North Whitehead and Carl Jung. How does Process Theology/Philosophy speak to, challenge, and make better Jungian Psychology? How does Jungian Psychology speak to, challenge, and make better Process Theology/Philosophy? We also discuss the ongoing process of renewing our faith and discuss some of the themes of the Renewing Faith online conference. Snag your ticket today and we will see you there. Enjoy! Renewing Faith Online Conference, January 23-25, 2025 Are you feeling burnt out and disconnected from your ministry or spiritual life? The Renewing Faith Conference is designed specifically for forward-looking Christian pastors, staff members, lay leaders, spiritual directors, chaplains, and those outside traditional church settings - whether you consider yourself a progressive mainliner, a quiet contemplative, a spiritual seeker, or a “deconstructing” post-evangelical - who are seeking to reignite their passion and find life-giving purpose in their faith journeys. At the Renewing Faith Conference, you will: Grow and Deepen Your Theological Roots: Participate in thought-provoking discussions led by renowned theologians and ministry leaders. Gain Fresh Perspectives on Ministry: Hear and discuss ways to incorporate process and open-relational theology and practice into your preaching, ministry, community, and personal faith journey.  Build Lasting Connections: Network with like-minded Christians who share your commitment to fresh expressions of Christianity, forming lasting relationships and networks of support. Embody Your Faith: Experience worship and practices that connect mind, body, and spirit through the arts and movement, fostering a holistic approach to ministry and well-being. Imagine leaving the conference with a renewed sense of purpose, a refreshed spirit, and practical tools to sustain your faith and your ministry for years to come. This isn't just another conference; it's a life-changing experience designed to help you thrive in your calling and spirituality. Early bird pricing for regular registration will only be available until Dec. 31, and there's even a special discount for students. Don't let burnout or boredom define your ministry or faith life. Take the first step towards renewal and transformation. Learn more at this link: Renewing Faith/(Re)Thinking *A special thanks to Josh Gilbert, Marty Fredrick, and Dan Koch. Love you guys

Bitcoin has hit the milestone of $100K, we've hit the milestone on Episode #72, and the Lads are joined by Travis Kling—Chief Investment Officer of Ikigai Asset Management. We talk about the financial nihilism that Millennials and Zoomers are feeling, how that plays into the current meta, and if that could turn around in a Trump administration. In Episode #72 we cover: 00:00 Coming Up On Steady Lads… 01:42 BTC Hits $100K! 04:51 Bitcoin Strategic Reserve 15:30 There's Hope For Our ETH Bags 28:14 Justin Buys Memes on XRP 33:28 Financial Nihilism 49:19 Pasta of the Week

OpenAI's 12 days of HUGE AI updates to Sora, o1 & maybe even GPT-5, Google's Genie 2 & World Labs' AI world models & Amazon announces Nova AI models. Plus, Tencent's new open-source HunyuanVideo, Kling's amazing Motion Brush tool, a fan made Batman AI film that's actually watchable, Spotify Integrates NotebookLM, Eleven Labs brings the voice AI heat, Google's Gen Chess AND OH SO MUCH MORE. Join the discord: https://discord.gg/muD2TYgC8f AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/ // SHOW LINKS // OPEN AI'S 12 DAYS OF SHIPMAS IS HERE https://www.theverge.com/2024/12/4/24312352/openai-sora-o1-reasoning-12-days-shipmas Sama Tweet https://x.com/sama/status/1864335461268754712 OpenAI Working on Browser https://www.theinformation.com/articles/openai-considers-taking-on-google-with-browser OpenAI + Ads? https://techcrunch.com/2024/12/02/ads-might-be-coming-to-chatgpt-despite-sam-altman-not-being-a-fan/ ChatGPT 300m Weekly Active Users https://x.com/steph_palazzolo/status/1864328587962155078 OpenAI Hires Lead of DeepMind's Multi-modal Research Team https://x.com/morqon/status/1864243564634361993 DeepMind's Genie 2: The World Simulator https://x.com/jparkerholder/status/1864314826891079787 World Labs: 3d Worlds From Single Image https://x.com/theworldlabs/status/1863617989549109328 https://www.worldlabs.ai/blog Tencent's new Opensource SOTA Video Model https://x.com/dreamingtulpa/status/1863866463196676444 Zack Snyder on AI as a TOOL https://x.com/tsarnick/status/1864166461922824215 New Amazon AI Models: NOVA  https://techcrunch.com/2024/12/03/amazon-announces-nova-a-new-family-of-multimodal-ai-models ElevenLabs ConversationAI https://x.com/elevenlabsio/status/1864011712795468094 ElevenLabs NotebookLM Competitor  https://x.com/elevenlabsio/status/1861833756027297965 NotebookLM Spotify Wrapped https://blog.google/technology/google-labs/notebooklm-spotify-wrapped/ Elon Sues OpenAI For Profit https://www.theverge.com/2024/11/30/24309697/elon-musk-openai-lawsuit-for-profit-transition-preliminary-injunction Elon Musk Nabs Nvidia Deal https://www.digitimes.com/news/a20241202PD213/elon-musk-nvidia-xai-production-tsmc.html Nous Research 15b Model Trained Over The Internet https://x.com/NousResearch/status/1863622813317464157 Batman AI Film https://www.reddit.com/r/aivideo/comments/1h5ui6v/we_made_a_10_minute_batman_short_film/ https://youtu.be/WjVpfB2iyV4 Vodafone Commercial  https://x.com/Uncanny_Harry/status/1863887803756523709 Retro Diffusion: Cool Pixel Art AI  https://x.com/RealAstropulse/status/1861791765851738590 Adobe MultiFoley https://x.com/EHuanglu/status/1862885461825646842 Google Gen Chess https://x.com/joshtwoodward/status/1861509743577076021  

Patreon Free Trial New Overkill drummer Jeramie takes time out of his busy schedule whilst on tour supporting King Diamond for a chat. We have quite a few friends in common so once we establish who they are we dive into Jeramie's varied career, be it as a drummer, drum tech or front of house engineer and where it's taken him so far. There is as always a run through the latest metal news with some long time regulars making appearances like Kiss & Megadeth and some more sombre stories too. This Is On The Road Bollocks. Video Interview    Scott Ian Action Figure  

Primary ovarian insufficiency (POI) sends about 4% of women into premature menopause before the age of 40. Yet, the condition is little understood and for those experiencing it, incredibly isolating. This week we talk about the struggles women with premature menopause face with athlete and entrepreneur Christy Napolitano Wernau, who experienced premature menopause at age 38. We also talk with her doctor, national expert and leader in menopause, Jewel Kling, MD, MPH, about the unique care women with premature menopause require, especially when it comes to menopausal hormone therapy.Christy Napolitano Wernau is an accomplished entrepreneur and advocate for women's health. With 27 years of experience at McDonald's, she became a franchise owner, managing multiple restaurants and teams. She serves as a board member for Ronald McDonald House Charities (RMHC), contributing to impactful community work. Diagnosed with premature ovarian failure and experiencing menopause at 38, she is passionate about raising awareness and building a supportive community for women navigating non-traditional menopause. A dedicated wife, fitness enthusiast, and mother, she balances her personal and professional life with a love for travel and wellness. Currently, she's pursuing a degree in Organizational Leadership with a minor in sociology, and she's an advocate for self-growth and resilience. Jewel Kling, MD, MPH, is a Professor of Medicine, Chair of the Division of Women's Health Internal Medicine, Assistant Director of the Mayo Clinic Women's Health Center and Dean of the Mayo Clinic Alix School of Medicine AZ campus at the Mayo Clinic in Scottsdale, Arizona. Her clinical and research interests are in menopause, sexual health, LGBT care, education, as well as efforts to expand the discipline of Sex and Gender specific medicine. Dr. Kling is recognized as an institutional and national expert and leader in menopause. She is a Menopause Society Certified Practitioner, a fellow and board member of the International Society for the Study of Women's Sexual Health (ISSWSH), and board member of the American Medical Women's Association Sex and Gender Health Collaborative. She is also part of the transgender and intersex specialty clinic committee at Mayo Clinic Arizona and has been a past co-chair of the LGBTI Mayo Employee Resource Group.Resources

Our 187th episode with a summary and discussion of last week's big AI news, now with Jeremie co-hosting once again! With hosts Andrey Kurenkov (https://twitter.com/andrey_kurenkov) and Jeremie Harris (https://twitter.com/jeremiecharris) Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. If you would like to become a sponsor for the newsletter, podcast, or both, please fill out this form. Email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Timestamps + Links: (00:00:00) Intro / Banter (00:03:07) Response to listener comments / corrections (00:05:13) Sponsor Read) Tools & Apps(00:06:22) Anthropic's latest AI update can use a computer on its own (00:18:09) AI video startup Genmo launches Mochi 1, an open source rival to Runway, Kling, and others (00:20:37) Canva has a shiny new text-to-image generator (00:23:35) Canvas Beta brings Remix, Extend, and Magic Fill to Ideogram users (00:26:16) StabilityAI releases Stable Diffusion 3.5  (00:28:27) Bringing Agentic Workflows into Inflection for Enterprise Applications & Business(00:32:35) Crusoe's $3.4B joint venture to build AI data center campus with up to 100,000 GPUs (00:39:08) Anthropic reportedly in early talks to raise new funding on up to $40B valuation (00:45:47) Longtime policy researcher Miles Brundage leaves OpenAI (00:49:53) NVIDIA's Blackwell GB200 AI Servers Ready For Mass Deployment In December (00:52:41) Foxconn building Nvidia superchip facility in Mexico, executives say (00:55:27) xAI, Elon Musk's AI startup, launches an API Projects & Open Source(00:58:32) INTELLECT-1: The First Decentralized 10-Billion-Parameter AI Model Training (01:06:34) Meta FAIR Releases Eight New AI Research Artifacts—Models, Datasets, and Tools to Inspire the AI Community (01:10:02) Google DeepMind is making its AI text watermark open source Research & Advancements(01:13:21) OpenAI researchers develop new model that speeds up media generation by 50X (01:17:54) How much AI compute is out there, and who owns it? (01:25:28) Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning (01:33:30) Inference Scaling for Long-Context Retrieval Augmented Generation Policy & Safety(01:41:50) Announcing our updated Responsible Scaling Policy (01:48:52) Anthropic is testing AI's capacity for sabotage (01:56:30) OpenAI asked US to approve energy-guzzling 5GW data centers, report says (02:00:05) US Probes TSMC's Dealings with Huawei (02:03:03) TikTok owner ByteDance taps TSMC to make its own AI GPUs to stop relying on Nvidia — the company has reportedly spent over $2 billion on Nvidia AI GPUs (02:06:37) Outro

Physicist Matthias Kling studies photons and the things science can do with ultrafast pulses of X-rays. These pulses last just attoseconds – a billionth of a billionth of a second, Kling says. He uses them to create slo-mo “movies” of electrons moving through materials like those used in batteries and solar cells. The gained knowledge could reshape fields like materials science, ultrafast and quantum computers, AI, and medical diagnostics, Kling tells host Russ Altman on this episode of Stanford Engineering's The Future of Everything podcast.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your quest. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:SStanford Profile: Matthias KlingMatthias' Lab: SLAC National Accelerator LaboratoryConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads or Twitter/XConnect with School of Engineering >>> Twitter/XChapters:(00:00:00) IntroductionRuss Altman introduces guest Matthias Kling, a professor of photon science and applied physics at Stanford University.(00:02:52) Ultrafast Electronics OverviewThe technologies enabling ultrafast photonics and electronic advancements.(00:05:32) Attosecond Science ApplicationsCapturing electron and molecular movements with attosecond pulses.(00:09:31) Photoelectric Effect InsightsAttosecond science's impact on understanding the photoelectric effect and quantum mechanics.(00:13:27) Real-Time Molecular MeasurementsUsing light waves to capture images of molecules at room temperature.(00:19:32) Future of Ultrafast ElectronicsHow attosecond light pulses could revolutionize computing with petahertz speed.(00:23:28) Energy-Efficient Quantum ComputingPotential for room-temperature quantum computers using light wave electronics.(00:26:33) AI and Machine Learning in ScienceAI's role in optimizing research and data collection in ultrafast electronics.(00:28:51) Real-Time AI Data AnalysisMachine learning enables real-time analysis of massive experimental data.(00:32:15) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads or Twitter/XConnect with School of Engineering >>> Twitter/X

How big a problem is misinformation for a democracy? How do we arrive at the truth? Listen as economist and author Arnold Kling talks with EconTalk's Russ Roberts about how we should think about truth-seeking. The conversation also revisits Kling's classic work, The Three Languages of Politics, and the relevance of its framework for the current moment.