Podcasts about Microsoft

In this episode we look through the lens of some of my iconic characters. What happens when the Neurologist tries to fix an internet outage or when the Anesthesiologist tackles modern math homework? How would the Internal Medicine Doctor handle a clogged toilet? We explore these hilariously relatable scenarios while sharing their real-life experiences as parents navigating daily chaos. Takeaways: Carpool eavesdropping is a surprising parenting hack that offers insights into preteen lives without intruding on their space. Parenting challenges don't stop at work, as balancing medical careers and family life requires creativity, humor, and patience. Everyday challenges like internet outages and math homework can be hilariously reframed when imagined through the lens of medical characters. Listening is key to parenting, especially during the preteen years when kids may be reluctant to share openly. Doctors are just as human as anyone else, finding ways to laugh and learn through parenting mishaps and wins. — To Get Tickets to Wife & Death: You can visit Glaucomflecken.com/live  We want to hear YOUR stories (and medical puns)! Shoot us an email and say hi! knockknockhi@human-content.com Can't get enough of us? Shucks. You can support the show on Patreon for early episode access, exclusive bonus shows, livestream hangouts, and much more! – http://www.patreon.com/glaucomflecken  Also, be sure to check out the newsletter: https://glaucomflecken.com/glauc-to-me/ If you are interested in buying a book from one of our guests, check them all out here: https://www.amazon.com/shop/dr.glaucomflecken If you want more information on models I use: Anatomy Warehouse provides for the best, crafting custom anatomical products, medical simulation kits and presentation models that create a lasting educational impact.  For more information go to Anatomy Warehouse DOT com. Link:  Anatomy Warehouse Plus for 15% off use code: Glaucomflecken15 -- A friendly reminder from the G's and Tarsus: If you want to learn more about Demodex Blepharitis, making an appointment with your eye doctor for an eyelid exam can help you know for sure. Visit http://www.EyelidCheck.com for more information.  Today's episode is brought to you by DAX Copilot from Microsoft. DAX Copilot is your AI assistant for automating clinical documentation and workflows helping you be more efficient and reduce the administrative burdens that cause us to feel overwhelmed and burnt out. To learn more about how DAX Copilot can help improve healthcare experiences for both you and your patients visit aka.ms/knockknockhi. Join 6,000 physicians nationwide who trust physician-founded PearsonRavitz with their insurance needs. Give yourself peace of mind and go to PearsonRavitz to schedule your free one-on-one consultation with a disability insurance expert. That's http://ww.pearsonravitz.com/knockknock to get more information and take the first step toward protecting your income and future. Produced by Human Content Learn more about your ad choices. Visit megaphone.fm/adchoices

Radiologist Robyn Tiger shares her journey from childhood tragedy to a career dedicated to healing and self-discovery. Robyn recounts how the loss of her father to suicide sparked her passion for understanding the human mind and led her to become a physician. She opens up about her struggles with chronic stress, burnout, and the profound insights that transformed her life and career. Robyn now empowers others with the tools to navigate their own well-being, proving that life's greatest challenges can become opportunities for growth and service. Robyn Tiger is a radiologist. She discusses the KevinMD article, "Through a physician's eyes: Living twice as long as your parent." Our presenting sponsor is DAX Copilot by Microsoft. DAX Copilot, by Microsoft, is your AI assistant for automated clinical documentation and workflows. DAX Copilot allows physicians to do more with less and turn their words into a powerful productivity tool. DAX Copilot automates clinical documentation—making it available in the EHR within minutes—and clinical workflows, including referral letters, after-visit summaries, style and formatting customizations, and more. 70 percent of physicians who use DAX Copilot say it improves their work-life balance while reducing feelings of burnout and fatigue. Patients love it too! 93 percent of patients say their physician is more personable and conversational, and 75 percent of physicians say it improves patient experiences. Discover AI-powered solutions for clinical documentation and workflows. Click here to see a 12-minute DAX Copilot demo. VISIT SPONSOR → https://aka.ms/kevinmd SUBSCRIBE TO THE PODCAST → https://www.kevinmd.com/podcast RECOMMENDED BY KEVINMD → https://www.kevinmd.com/recommended GET CME FOR THIS EPISODE → https://www.kevinmd.com/cme I'm partnering with Learner+ to offer clinicians access to an AI-powered reflective portfolio that rewards CME/CE credits from meaningful reflections. Find out more: https://www.kevinmd.com/learnerplus

Your boss holds the keys to your next move - but are you waiting for them to unlock your potential? Rarely gonna happen. Welcome to the art of managing up, where you take control of your career trajectory instead of hoping someone else will.In this episode, we're diving into:The power dynamics you can't ignore (and how to make them work for you)Strategic moves that transform you from a team player to an invaluable assetThe skip-level game: How to build relationships with senior leadership without stepping on toes Real talk on imposter syndrome, authority issues, and other mental blocks holding you back from playing biggerSupport the showJill Griffin , host of The Career Refresh, delivers expert guidance on workplace challenges and career transitions. Jill leverages her experience working for the world's top brands like Coca-Cola, Microsoft, Hilton Hotels, and Martha Stewart to address leadership, burnout, team dynamics, and the 4Ps (perfectionism, people-pleasing, procrastination, and personalities). Visit JillGriffinCoaching.com for more details on: Book a 1:1 Career Strategy and Executive Coaching HERE Gallup CliftonStrengths Corporate Workshops to build a strengths-based culture Team Dynamics training to increase retention, communication, goal setting, and effective decision-making Keynote Speaking Grab a personal Resume Refresh with Jill Griffin HERE Follow @JillGriffinOffical on Instagram for daily inspiration Connect with and follow Jill on LinkedIn

Will Gucci take off? Is Hermes dead in its tracks? Artificial intelligence is a superpower that will launch the luxury sector into the stratosphere, but only for brands wise enough to embrace the new technology now.David Klingbeil is the founder and CEO of Submarine.ai and a professor at New York University who specializes in the luxury sector. Who better to break down the opportunities and threats which exist perfectly at the intersection of AI and luxury than David? Nobody!On this episode, Mr. Klingbeil weighs in on how AI will transform the relationship between luxury houses and consumers vis-a-vis new hardware, AI-augmented storytelling, fashion robots, and of course - they gotta pay! - cryptocurrency.Klingbeil highlights the potential for AI to revolutionize how luxury brands identify trends, create content, and improve customer service, while also addressing the challenges and risks associated with AI adoption.The episode offers a deep dive into the intersection of technology and luxury, featuring real-world examples and future predictions.Preorder Marc's new book, "Some Future Day: How AI Is Going to Change Everything"Sign up for the Some Future Day Newsletter here: https://marcbeckman.substack.com/Episode Links:David on LinkedIn: https://www.linkedin.com/in/davidklingbeilTwitter: https://x.com/DAKlingbeilWebsite: https://submarine.ai/To join the conversation, follow Marc Beckman here: YoutubeLinkedInTwitterInstagramTikTok

PODCAST: James Hesson, Director of Sports & Entertainment for Microsoft, joins this week's edition of Sports Business Radio for a conversation. Hesson discusses how Microsoft is helping its sports and entertainment clients, how Microsoft's clients are engaging fans in new and innovative ways and what the future of tech and AI looks like. Hesson also discusses his background and his path to his current role with Microsoft. LISTEN to Sports Business Radio on Apple podcasts or Spotify podcasts. Give Sports Business Radio a 5-star rating if you enjoy our podcast. Click on the plus sign on our Apple Podcasts page and follow the Sports Business Radio podcast. Follow Sports Business Radio on Twitter @SBRadio and on Instagram, Threads and Tik Tok @SportsBusinessRadio. This week's edition of Sports Business Radio is presented by Boingo Wireless. Teams like the LA Clippers, Atlanta Hawks, Chicago Bears and San Diego Padres trust Boingo to connect their stadiums and arenas with cutting-edge 5G and Wi-Fi. From mobile ticketing to security cameras to kiosks, connect every piece of stadium technology with Boingo's converged wireless networks. As you plan for the future of your stadium, make 5G part of your gameplan and choose Boingo Wireless as your trusted connectivity partner. Learn more by downloading Boingo's free 5G Playbook for Stadiums & Arenas. Head to boingo.com/5Gstadium to get your copy. #Podcast #Microsoft #Tech #AI #SportsBusiness #SportsTech #JamesHesson Learn more about your ad choices. Visit megaphone.fm/adchoices

Send Everyday AI and Jordan a text messageIs Microsoft laying off thousands because of AI? How did one small box from NVIDIA change the future of work? What are Google's big AI shakeups? And why is OpenAI getting into humanoid robots? So many AI questions. We've got the AI answers with the AI news that matters.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI Robotics Department2. NVIDIA's AI Projects and Tech3. Google's AI Updates and AGI shift4. Microsoft's Open Source Model5. Meta speaks on AI and Software EngineeringTimestamps:00:00 Daily AI news, podcast recaps, expert episodes.04:34 NVIDIA's CES keynote: Major AI GPU announcements.06:52 NVIDIA uses generative AI to enhance GPUs.12:19 Local powerful AI models enhance data security.16:10 NVIDIA forks Meta's Llama for enterprise AI.20:44 Google aims for AGI using advanced world models.22:34 Phi 4: Efficient, powerful, open-source AI model.25:35 Microsoft prioritizes retaining AI talent with bonuses.31:34 OpenAI revives robotics department for versatile robots.35:18 OpenAI urges US to secure AI investments.39:21 Observations connect over time; predictions often accurate.40:01 Prediction on AI agent numbers was impactful.Keywords:OpenAI, robotics, humanoid robots, adaptive robots, AI models, AI supercomputer, NVIDIA GPUs, DeepMind AI, Microsoft's open-source model, AI automation, Meta software engineering, US AI leadership, AI Predictions, AI industry news, RTX 50 series GPUs, Project Digits, NVIDIA's Grace Blackwell superchip, local AI computing, Cosmos, Isaac Robot Simulation, Nemotron Models, Enterprise AI, DeepMind's World Models, Google's Artificial General Intelligence, Google AI projects, Microsoft layoffs, Microsoft Phi-4 model, Hugging Face, Coding automation, Meta's AI advancement. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

As the Chief Executive Officer at Infodash, Ted has over 20 years of experience in the legal technology industry, leading the development and delivery of innovative and impactful solutions for law firms. Infodash is the premier cloud-first legal intranet/extranet platform, built on SharePoint Online and providing seamless Microsoft Teams integration. This technology has been deployed at dozens of Am Law 200 firms and has provided marked improvements in employee productivity and retention.His mission is to help law firms stay connected with their employees, their clients, and their work, especially in this new age of remote and hybrid work. Infodash helps firms leverage their Microsoft 365 investment by enriching user profiles with data that improves the user experience across the entire suite of products. With Infodash, law firms can establish and maintain their culture, communicate their news and events, access their knowledge and resources, and collaborate with their teams and partners.Connect with Ted Theodoropoulos:Website: https://getinfodash.com/ Podcast, Legal Innovation Spotlight: https://open.spotify.com/show/4r2oOlOGR2ia0DFCv1uxun?si=561d43295e0343c1 TurnKey Podcast Productions Important Links:Guest to Gold Video Series: www.TurnkeyPodcast.com/gold The Ultimate Podcast Launch Formula- www.TurnkeyPodcast.com/UPLFplusFREE workshop on how to "Be A Great Guest."Free E-Book 5 Ways to Make Money Podcasting at www.Turnkeypodcast.com/gift Ready to earn 6-figures with your podcast? See if you've got what it takes at TurnkeyPodcast.com/quizSales Training for Podcasters: https://podcasts.apple.com/us/podcast/sales-training-for-podcasters/id1540644376Nice Guys on Business: http://www.niceguysonbusiness.com/subscribe/The Turnkey Podcast: https://podcasts.apple.com/us/podcast/turnkey-podcast/id1485077152

Guest: Sarah Franklin, CEO of LatticeAs the CEO of a growing company, Lattice's Sarah Franklin has learned that one of her most important contributions is taking a leap of faith. “You have to have the courage to be the first one to do it,” she says,” and to show that it can be done, and to pave the way so that then your team feels trust.”Sarah cautions, though, that sometimes courage is deciding to stop and go a different direction. As agentic AI becomes more common, the people building companies like Lattice should look to the “cautionary tales” of how social media and mobile phones have changed society, she says.“We can have the courage to say, what are the outcomes that we want to prevent? Or what are the outcomes that we want to make sure happen? This all takes, courage, because it's all unknown.”Chapters:(01:14) - Schooling in Mexico (04:09) - Raising brave children (10:28) - Sarah's upbringing (13:29) - The pursuit of money (16:23) - Measuring success (19:28) - Learnings, not regrets (22:55) - Make an impact (26:44) - Pitching Trailhead (32:56) - Elevating a B2B company (35:27) - How to colonize Mars (38:39) - Marketing, the Salesforce way (44:21) - Dolphining and truth-tellers (50:56) - Renewed purpose (56:30) - The challenges of being CEO (01:00:18) - Pave the way (01:03:25) - “Humanizing AI” (01:06:57) - Handling controversy (01:11:04) - Who Lattice is hiring and what “grit” means to Sarah Mentioned in this episode: FaceTime, Salesforce, Marc Benioff, Mahatma Gandhi, Instagram, the Fortune 500, Java, Jerry Maguire, National Parks, Nike, Michael Jordan, Apple and “Think Different,” Sara Varni, Scott Holden, Andy Kofoid, Databricks, Datadog, Behind the Cloud, Oracle, Microsoft, Elon Musk, Amazon AWS, George Hu, Mike Rosenbaum, Cheryl Feldman, Zac Otero, Guidewire Software, AI agents, Indiana Jones and the Last Crusade, and LinkedIn.Links:Connect with SarahLinkedInConnect with JoubinTwitterLinkedInEmail: grit@kleinerperkins.com Learn more about Kleiner PerkinsThis episode was edited by Eric Johnson from LightningPod.fm

In this episode, Mary Sullivan, co-founder of Sweet but Fearless, talks with Kim Ades, President FOM Coaching, about emotional resilience and the mental strength needed to achieve anything you set your mind to. By distinguishing between failure and a failed experience, you can shift your focus to the lessons learned along the way instead of the failure itself. Kim also shares her belief in the transformative power of journaling in creating a sense of self-awareness and recognizing your habit of thought. Step into the driver's seat of your life's journey with Kim's inspiring insights. Kim is the Founder of Frame of Mind Coaching. Author, speaker, entrepreneur, coach, and mom of five, Kim's claim to fame is teaching her powerful coaching process to leaders, executives and entrepreneurs worldwide. Kim has been a featured speaker for organizations including Microsoft, TEC, Vistage, PMI, WIT, SHRM and more.   If you found this episode inspiring, please subscribe, like, and leave a comment.   MORE ABOUT KIM ADES LinkedIn: Kim Ades Website: Frame of Mind Coaching FREE: 10 Powerful Journaling Prompts   ABOUT SWEET BUT FEARLESS: Website - Sweet but Fearless LinkedIn - Sweet but Fearless

https://lordsofgaming.net/1) ILP ROAD TO TOKYO Merch: https://ironlordspodcast.creator-spring.com2) NZXT & IRON LORDS PC Use Affiliate LINK: https://nzxt.co/Lords3) HAWORTH Chairs & ILP Use Affiliate LINK: https://haworth.pxf.io/4PKj7M4) MANSCAPED & ILP Use Code: Use Code: "IRONLORDS" at https://www.manscaped.com/5) VALARI GAMING Pillow Use Code: "LORD15" for 15% Off https://thevalari.com/products/ironlords6) ADVANCED GG & ILP Use Code "IRONLORD" to save 10% off https://advanced.gg/?ref=LORDCOGNITOILP ROYAL SWAG: https://teespring.com/stores/ironlordspodcast ILP PATREON: https://www.patreon.com/IronLordsPodcastCheck out the "Lords of Gaming Network" Discord server! : https://discord.gg/Z7FZqzg The Lords are on Spotify, Google Play, Itunes & Soundcloud! Check out the links below! Reach out to: https://lordsofgaming.net/contact-us/  if you are interested in writing with us!*********************************************************No @LordSovILP this week.Guests: @Gaming_Forte00:00 - ILP# 383 Pre-Show!19:17 - ILP# 383 Show Start! Intro video ends at 20:56 .27:26 - @LordCognito is up with "Lordly Introductions" for the Hometown Lords!01:00:37 - It's time for the #LOGNET Scribe of the Month!01:19:26 - The Lords discuss the #Halo & #GearsOfWar port rumors for #NintendoSwitch2 !02:52:43 - The Lords give their thoughts on the upcoming #XboxDeveloperDirect !03:28:21 - The Lords talk about the new delay for #AssasinsCreedShadows !03:51:00 - The Lords talk about #Xbox & #SteamOS news from #CES2025 !04:36:10 - The Lords do their Outros!*********************************************************Welcome to The Iron Lords Podcast!Be sure to visit www.LordsOfGaming.net for all your gaming news!ILP Spotify: https://open.spotify.com/show/6XRMnu8Tf1fgIdGlTIpzsKILP Google Play:https://play.google.com/music/m/Iz2esvyqeaixk6dorkmur2nm7xa?t=Iron_Lords_PodcastILP SoundCloud: https://soundcloud.com/user-780168349ILP Itunes: https://itunes.apple.com/us/podcast/iron-lords-podcast-ili-1/id1179199929?fbclid=IwAR1p_5D8Z-nKUpbwJeiK7zQoYdQhpb1VhxBDZxoMul-uiR-IgF6cE9EQicIILP on Twitter: twitter.cm/IronLordPodcastILP on Instagram: www.instagram.com/ironlordspodcast/ILP DESTINY CLAN: www.bungie.net/en/Clan/Detail/178626The Iron Lords and the Lords of Gaming have an official group on Facebook! Join the Lords at:www.facebook.com/groups/194793427842267www.facebook.com/groups/lordsofgamingnetwork/Lord COGNITO--- twitter.com/LordCognitoLord KING--- twitter.com/kingdavidotwLord ADDICT--- twitter.com/LordAddictILPLord SOVEREIGN--- twitter.com/LordSovILPILP YouTube Channel for ILP, Addict Show & all ILP related content: www.youtube.com/channel/UCYiUhEbYWiuwRuWXzKZMBxQXbox Frontline with King David: https://www.youtube.com/@xboxfrontlineFollow us on Twitter @IronLordPodcast to get plugged in so you don't miss any of our content.

Support ⁠⁠Nintendo Pow Block & Boss Rush on Patreon⁠ This week on Nintendo Pow Block, Edward and Corey break down all of the latest rumors and information spreading about the Nintendo Switch successor, including games from Microsoft and more third parties, Genki's videos, information from developers, and more. Let's break it down! Time Stamps: 0:00 - Welcome to Nintendo Pow Block 12:45 - Housekeeping 19:51 - SNACKTENDO! 23:33 - Weekly Pickups 24:51 - Playing with Power 43:43 - FAMINEWS! 44:45 - Nintendo Switch 2 Alleged Leaks from Genki at CES 57:02 - Echoes of Wisdom at the DICE Awards 1:01:52 - Discussing the Switch 2 Rumors 1:36:08 - PAK Watch 1:41:56 - NintendoLife's 8 Games Defining the Generation 2:20:12 - Community Questions 2:38:10 - Final Thoughts Join the ⁠⁠⁠⁠Boss Rush Discord⁠⁠⁠⁠ Subscribe ⁠⁠⁠on YouTube⁠⁠⁠ Follow our Hosts: Edward Varnell: ⁠⁠X/Twitter⁠⁠, ⁠⁠Bluesky⁠⁠ Corey Dirrig: ⁠⁠X/Twitter⁠⁠, ⁠⁠Bluesky⁠⁠ Thank you for watching and/or listening to Nintendo Pow Block, the Nintendo podcast for Boss Rush Media and The Boss Rush Network. If you enjoyed the discussion, subscribe and like the video, leave a comment, and hit the bell so you don't miss an episode. If you listen on Apple Podcasts or Spotify, remember to leave us a five star rating and a nice review. You can support Nintendo Pow Block and Boss Rush on Patreon at any tier. Thanks for watching or listening to Nintendo Pow Block and supporting The Boss Rush Network's independent endeavor. It means more than you know.

Send me a Text Message hereFULL SHOW NOTES https://podcast.nz365guy.com/643  This episode explores the evolving landscape of recruitment within the Microsoft ecosystem, focusing on the growing trend of in-house talent acquisition over traditional partnerships. Bilal (Bill) Khan shares his personal journey, insights on the importance of AI skills, and the vital role of personal branding in securing opportunities in the tech industry.• Discussion on the shift from Microsoft partners to in-house recruitment teams • Importance of empathy and the human element in recruitment • Emerging need for AI skills in the job market • Insights on personal branding and its impact on careers • Reflections on family, food, and fun as integral to work-life balance• How can career development be self-initiated in partner organizations? • Why is building in-house teams becoming a more cost-effective strategy for businesses? • How can agencies adapt their approach to client relationships to stay competitive? • How is AI expected to revolutionize recruitment by 2025? • Why are empathy and effective communication essential in recruitment?In 2024, we celebrated seven years of the Microsoft Business Applications podcast. Now, we step into 2025 with a fresh new name. Welcome to the Microsoft Innovation podcast! Our new name reflects a broader vision, exploring the intersection of people, business, technology, and AI. 90 Day Mentoring ChallengeMicrosoft Business Applications Career Mentor for the Power Platform and Dynamics 365 Justin WelshJustin Welsh's LinkedIn Operating System—the guide to finding your voice on LinkedIn.Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Our 196th episode with a summary and discussion of last week's* big AI news! *and sometimes last last week's  Recorded on 01/10/2024 Join our brand new Discord here! https://discord.gg/wDQkratW Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. Sponsors: The Generator - An interdisciplinary AI lab empowering innovators from all fields to bring visionary ideas to life by harnessing the capabilities of artificial intelligence. In this episode: - Nvidia announced a $3,000 personal AI supercomputer called Digits, featuring the GB10 Grace Blackwell Superchip, aiming to lower the barrier for developers working on large models.  - The U.S. Department of Justice finalizes a rule restricting the transmission of specific data types to countries of concern, including China and Russia, under executive order 14117. - Meta allegedly trained Llama on pirated content from LibGen, with internal concerns about the legality confirmed through court filings.  - Microsoft paused construction on a section of a large data center project in Wisconsin to reassess based on new technological changes. If you would like to become a sponsor for the newsletter, podcast, or both, please fill out this form. Timestamps + Links: (00:00:00) Intro / Banter (00:04:52) Sponsor Break Tools & Apps (00:05:55) Nvidia announces $3,000 personal AI supercomputer called Digits (00:10:23) Meta removes AI character accounts after users criticize them as ‘creepy and unnecessary' Applications & Business (00:16:16) NVIDIA Is Reportedly Focused Towards “Custom Chip” Manufacturing, Recruiting Top Taiwanese Talent (00:21:54) AI start-up Anthropic closes in on $60bn valuation (00:25:38) Why OpenAI is Taking So Long to Launch Agents (00:30:08) TSMC Set to Expand CoWoS Capacity to Record 75,000 Wafers in 2025, Doubling 2024 Output (00:33:10) Microsoft 'pauses construction' on part of data center site in Mount Pleasant, Wisconsin (00:37:23) Google folds more AI teams into DeepMind to ‘accelerate the research to developer pipeline' Projects & Open Source (00:41:59) Cosmos World Foundation Model Platform for Physical AI (00:48:21) Microsoft releases Phi-4 language model on Hugging Face Research & Advancements (00:50:16) PRIME: Online Reinforcement Learning with Process Rewards (00:58:29) ICLR: In-Context Learning of Representations (01:07:38) Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs (01:11:44) METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring (01:15:45) TransPixar: Advancing Text-to-Video Generation with Transparency (01:18:03) The amount of compute used to train frontier models has been growing at a breakneck pace of over 4x per year since 2018, resulting in an overall scale-up of more than 10,000x! But what factors are enabling this rapid growth? Policy & Safety (01:23:45) InfAlign: Inference-aware language model alignment (01:28:44) Mark Zuckerberg gave Meta's Llama team the OK to train on copyrighted works, filing claims (01:33:19) Anthropic gives court authority to intervene if chatbot spits out song lyrics (01:35:57) US government says companies are no longer allowed to send bulk data to these nations (01:39:10) Trump announces $20B plan to build new data centers in the US  

The Monday Microsegment for the week of January 13th. All the cybersecurity news you need to stay ahead, from Illumio's The Segment podcast.- Microsoft has a message for alleged AI hackers: see you in court- Someone is finally thinking of the children. The bad news: it's a ransomware group.- And a new threat actor is using AI to punch above its weight classAnd Christer Swartz joins us for a Boos and Bravos segment.  Head to The Zero Trust Hub: hub.illumio.comIllumio World Tour Registration: https://www.illumio.com/illumio-world-tour 

Microsoft's future in console and handheld.  Astro Bot most awarded game of 2024, Nintendo Switch 2 incoming and much more.  This is The Week in Gaming press play! If you or someone you know is suffering please reach out to https://988lifeline.org/  Or call The Suicide and Crisis Lifeline at 988  Don't forget to support the show on twitch - https://www.twitch.tv/thederricklamonexperience  As well as patreon - https://www.patreon.com/thederricklamonexperience 00:00 Introduction and New Year Greetings 00:24 Nintendo Switch 2 Rumors and Speculations 01:55 Sony's Upcoming Projects and Adaptations 04:19 Xbox Series X and S Sales Analysis 07:03 Microsoft's Future Console Plans 24:55 Resident Evil 4 Remake Success 28:04 Final Fantasy VII Movie Hopes 30:38 Nintendo Switch 2 Sales Forecast 33:41 Naughty Dog's Journey and Future Projects 35:54 Conclusion and Sign Off

Send us a textJoin your host Clifton Pope as he is back to kick off the 2025 Future Fortune Series as financial insight is provided on what is going on in the world of finances from the perspective of HFWB!In this edition of the Future Fortune Series, Clifton Pope provides the scoop on why FAANG stock companies are investing 1 million dollars into the Trump Inaguration Fund and why you should always invest FAANG!(Facebook, Amazon, Apple, Netflix, Google, Microsoft-honorable mention)Questions are posed on whether the interest rate cut by the Fed in December 2024 truly the last one for a while, if inflation woes will put a halt on cryptocurrency market, and why prices are rising once again of Medicare Part D drugs with behind the scene peek from experience as a former pharmacy technician!Disclaimer: Clifton Pope is not a financial advisor but providing his perspective based on experience, research, and what he practices!Hit that follow/subscribe button on Apple/Spotify Podcasts as well as Rumble via @CPHFWB to stay updated with the newest releases from the show!Download, stream, and share all episodes of the show so you don't miss information or resources provided!Leave a rating/review to help grow the show as The HFWB Podcast Series is for you, the people, so let your voice be heard!Join the HFWB community for $5/month to get access to exclusive content today via https://hfwbpodcastseries.buzzsprout.comThank you for the love and the support!Support the showhttps://atherocare.com/HEALTHFITNESSWEALTHBUSINESShttps://athleticism.com/HEALTHFWEALTHBhttps://vitamz.com/HEALTHFITNESSWEALTHBUSINESShttps://Athleticism.comhttps://atherocare.comhttps://vitamz.comofficial sponsors of the HFWB Podcast Series

Scott is unavailable this week, so we're airing a panel discussion from IAAPA 2024. The panel, "IAAPA Fireside Chat: Inspiring Minds of the Industry," combines large and small attraction operators to discuss 2024 and industry trends. During this presentation, you'll hear how Mojang Studios is joining forces with Merlin Entertainments to bring Minecraft adventures to life in the real world through immersive and interactive attractions. Featured in this discussion: Kayleen Walters, VP of Franchise Development for Microsoft; Scott O'Neil, CEO of Merlin Entertainments; Jakob Wahl, President and CEO of IAAPA; Robert Dahl, Founder & CEO of Karls Erlebnis-Dörfer; & Steve Thomas, President of Business Operations for Belmont Park. Become a supporter of this podcast: https://www.spreaker.com/podcast/green-tagged-theme-park-in-30--4568806/support.

Welcome to another episode of Supra Insider. This time, Marc and Ben sat down with Brenton Sellati, VP of Product at Pie Insurance, and Joshua Herzig-Marx as the honorary co-host for this episode to dive into the transformational journey of implementing the product operating model at Pie Insurance.Brenton shares how he overhauled Pie's product strategy, slashing 66% of the roadmap to focus on high-ROI initiatives, aligning leadership, and fostering a product-led culture. With insights from Joshua throughout the discussion, the episode explores the challenges and successes of introducing a problem-first mindset, building cross-functional collaboration, and creating a transparent prioritization system.This episode is packed with actionable advice for product leaders and executives looking to drive organizational change and implement sustainable product practices.All episodes of the podcast are also available on Spotify, Apple and YouTube (video).New to the pod? Subscribe below to get the next episode in your inbox

Get ready for a blast from the past on this episode of Nostalgia Junkies! We kick things off with some exciting news: Paramount is officially developing a new Power Rangers movie, and we're diving deep into the ultimate fan casting, featuring our dream team from Cobra Kai. Next, we tackle the age-old debate in our This or That segment, brought to you by Throwback Buys (use code NJPod for 15% off your order!). We pit Pokemon against Digimon, Sunny D against Tang, and Street Fighter II against Mortal Kombat – the results might surprise you! But the real meat of this episode lies in a deep dive into the legendary game developer, Rareware. We explore their incredible history, from their humble beginnings with Battletoads and Beetlejuice to their groundbreaking work on the SNES with Donkey Kong Country. We'll discuss the rise and fall of their iconic franchises, including Banjo-Kazooie and Conker, and delve into the controversial Microsoft acquisition. And to top it all off, we're ranking the ultimate 90s snacks: think Hi-C Ecto Cooler, Bubble Jug, 3D Doritos, and so much more. This episode is a nostalgia-fueled journey you won't want to miss! Email us your thoughts and comments: nostalgiajunkiesct@gmail.com STORE: https://nostalgiajunkies.printify.me/products Follow us on our Socials: INSTAGRAM: ⁠⁠@nostagiajunkiespodcast⁠ TIKTOK: ⁠⁠@nostalgiajunkies⁠podcast⁠ YOUTUBE: ⁠⁠@nostalgiajunkiespodcast⁠⁠ Subscribe and Review!  Check out ThrowbackBuys.com and use code: NJPOD for 15% off your next order!

NVIDIA Mini AI Supercomputer, Microsoft's Small AI Model Breakthrough, and HubSpot's New AI Platform | Hashtag Trending In today's episode of Hashtag Trending, hosted by Jim Love, we delve into groundbreaking developments in AI technology. NVIDIA introduces Project Digits, a mini AI supercomputer with 1,000 teraflops of performance at an unprecedentedly low cost of $3,000. Microsoft reveals a new technique called R Star Math, proving that smaller AI models can outperform larger ones in math reasoning tasks. Lastly, HubSpot's co-founder, Dharmesh Shah, launches Agent AI, a platform for building and sharing AI task agents. Tune in to hear how these innovations are pushing the boundaries of AI computing. 00:00 Introduction and Today's Headlines 00:24 NVIDIA's Project Digits: A Mini AI Supercomputer 02:51 Microsoft's Breakthrough with Smaller AI Models 05:34 HubSpot Co-Founder's New AI Platform: Agent AI 07:03 Conclusion and Contact Information

Autrefois, les robots n'existaient que dans les films de science-fiction, mais aujourd'hui, ils s'invitent dans nos vies : ils plient le linge, font la vaisselle, préparent des cocktails ou servent des glaces. Bref, tout un monde mécanique semble enfin prêt à s'occuper des tâches que nous détestons. Jusqu'ici, les robots pouvaient répéter les mêmes gestes dans une usine, mais ils étaient incapables de s'adapter. C'est d'ailleurs la raison pour laquelle ils étaient principalement confinés aux secteurs de la logistique ou de l'automobile. Cependant, grâce à l'intelligence artificielle et à des outils comme ChatGPT, combinés aux avancées en reconnaissance vocale et visuelle, ils ont aujourd'hui d'une véritable capacité d'apprentissage et de compréhension. Les géants de l'électronique l'ont bien compris : Samsung, LG ou encore TCL ont dévoilé à Las Vegas leurs projets de robots domestiques. Ces machines intelligentes, presque humaines, pourraient donc bientôt intégrer nos foyers. Mais attention, rendre un robot intelligent ne suffit pas. Comme l'a rappelé à juste titre Jensen Huang, le PDG de Nvidia, il est essentiel que ces robots soient robustes, économes en énergie, autonomes et, surtout, abordables. Les experts estiment que les robots seront omniprésents d'ici 2030 à 2040 et ce marché suscite déjà l'intérêt des géants de la tech comme Tesla, Microsoft, Apple, Nvidia... Bref, les robots arrivent, et ils vont clairement transformer nos vies. --- La chronique économique d'Amid Faljaoui, tous les jours à 8h30 et à 17h30. Merci pour votre écoute Pour écouter Classic 21 à tout moment i: https://www.rtbf.be/radio/liveradio/classic21 ou sur l'app Radioplayer Belgique Retrouvez tous les épisodes de La chronique économique sur notre plateforme Auvio.be :https://auvio.rtbf.be/emission/802 Et si vous avez apprécié ce podcast, n'hésitez pas à nous donner des étoiles ou des commentaires, cela nous aide à le faire connaître plus largement. Découvrez nos autres podcasts : Le journal du Rock : https://audmns.com/VCRYfsPComic Street (BD) https://audmns.com/oIcpwibLa chronique économique : https://audmns.com/NXWNCrAHey Teacher : https://audmns.com/CIeSInQHistoires sombres du rock : https://audmns.com/ebcGgvkCollection 21 : https://audmns.com/AUdgDqHMystères et Rock'n Roll : https://audmns.com/pCrZihuLa mauvaise oreille de Freddy Tougaux : https://audmns.com/PlXQOEJRock&Sciences : https://audmns.com/lQLdKWRCook as You Are: https://audmns.com/MrmqALPNobody Knows : https://audmns.com/pnuJUlDPlein Ecran : https://audmns.com/gEmXiKzRadio Caroline : https://audmns.com/WccemSkAinsi que nos séries :Rock Icons : https://audmns.com/pcmKXZHRock'n Roll Heroes: https://audmns.com/bXtHJucFever (Erotique) : https://audmns.com/MEWEOLpEt découvrez nos animateurs dans cette série Close to You : https://audmns.com/QfFankx

Artificial intelligence will affect all facets of modern-day business in some way or another. But it will most definitely go a few layers deeper with the type of companies whose job is to be a record of business' today – SaaS companies.SaaS as a business model is investment-heavy in the beginning. It's risky to build, it takes time to build, and it takes skill to build. But if successful, it is a cash cow. Think of the biggest SaaS companies – Salesforce, Microsoft and Adobe. They spent years building and iterating on software products. And today, all of these products they poured money into make them billions of dollars.But there's a perfect storm that has been turning the tides, and the incumbents have seen the signs and have jumped at it to secure their advantage and not lose out to upstarts.The one thing about SaaS products is that they have to be constantly sold to their customers. But with AI, the entire loop becomes a solution that makes the customer's life easier. SaaS products integrated with AI will be bought because they'll solve the use case of its customers specifically. Companies which usually resort to different pricing strategies for small additional features will have to reconsider and be aligned to deliver outcomes for their customer, not a feature list which is based on purchasing licences to gain access.And in all of this, what happens to the Indian SaaS companies as the AI wave ushers in?In episode 21 of Two by Two, hosts Praveen Gopal Krishnan and Rohin Dharmakumar sat down with guests Sumanth Raghavendra, CEO and co-founder of Presentations.AI and one of the co-founders of The Ken, and Sidu Ponnappa, CEO and co-founder of Realfast and former managing director of Gojek India.This is a '30-minute version' of the full conversation we had published on 12 December 2024. Full episodes are available to Premium subscribers on The Ken app and Apple Podcasts with a separate monthly subscription.A Premium subscription to The Ken will get you access to our long-form stories, premium newsletters, podcasts, and visual stories in addition to Two by Two.If you'd just like access to Two by Two, you can do that too by getting a Premium subscription to Two by Two on Apple Podcasts.Tune in to the latest Two by Two podcast to listen to an engrossing discussion on how AI will shake up SaaS models across the world and what's in store for India's SaaS companies.——Additional reading:The AI apocalypse is coming: Are SaaS companies ready?BarbAIrians at the Gate: The Financial Opportunity of AIThe End of the SaaS Era: Rethinking software's role in business——This episode of Two by Two was produced by Hari Krishna. Mixing and mastering for this episode was done by Rajiv CN.Write to us with what you thought of the episode at twobytwo@the-ken.com.

Alle zwei Wochen beleuchten Sascha Dewald und Maik Klotz von nun an in ihrem Podcast AI in Finance exklusiv bei Payment & Banking die neuesten Trends. Dieses Mal im Programm: Nvidia's Project Digits und der KI-Fokus von Microsoft.

In this episode of Stock Break, we examine Microsoft's stock and explore whether 2025 could be a better year after a challenging 2024.

Send us a textIn this episode, Marcus is joined for a compelling conversation by Joan Perez-Péricot, the visionary VP and GM of HP's Industrial Print Software and Solutions. With over three decades at HP, Joan offers an insider's perspective on the seismic shifts reshaping printing. We discuss the industry's pivot towards intelligent automation and software solutions amidst global supply chain hurdles and soaring labour costs. Joan's insights into the transition from analogue to digital printing, fueled by e-commerce and web-to-print advancements, provide a insightful look at how the print landscape is evolving.Discover how AI is already revolutionising the print sector, transforming roles and redefining business strategies. Through strategic partnerships with other global tech giants such as Amazon and Microsoft, HP is poised to create unique AI applications that empower smaller businesses to thrive in a competitive market. We explore how AI enhances decision-making, automates workflows, and improves data visibility, offering transformative insights that heighten production efficiency and solve operational challenges. Joan shares how HP leverages AI resources to develop solutions that not only optimise processes but also drive a strategic shift in the print industry.BiographyAs the VP of Industrial Print Software & Solutions, Joan is responsible to expand HP's business into SaaS models, drive the Artificial Intelligence strategy and develop the next generation of PrintOS solutions portfolio.Joan is also VP Industrial Print Strategy and Sustainability, responsible of defining the vision, strategy, and transformation initiatives to accelerate growth, reduce the environmental footprint and increase the overall Industrial Print business growth and profitability.Prior to this role, Joan was the Graphics Solutions Global Head & General Manager, completing the acquisition of OFS (a workflow automation startup), developing a new SaaS business (Site Flow) and incubating new creator solutions.Before that, he was the Global Head and General Manager of the Large Format Production business, scaling-up the HP Latex business for signage and decoration, and launching the HP Stitch business for textiles digital printing.Since 1992 he has been responsible of multiple product developments, the integration of the Scitex, NUR Macroprinters & ColorSpan portfolio after being acquired by HP, and the launch of the disruptive HP Latex technology.Married with 3 kids, Joan has a degree in mechanical engineering from The School of Industrial Engineering & an MBA from ESADE business school in Barcelona. Listen on:Apple PodcastGoogle PodcastSpotifyWhat is FuturePrint? FuturePrint is a digital and in person platform and community dedicated to future print technology. Over 15,000 people per month read our articles, listen to our podcasts, view our TV features, click on our e-newsletters and attend our in-person and virtual events. We hope to see you at one of our future in-person events:FuturePrint TECH: Leaders Summit 1 April '25, Valencia, Spain FuturePrint TECH: Packaging & Labels 2-3 April '25, Valencia, SpainFuturePrint TECH: Industrial Print: 22-23 October '25, Munich, Germany

After two weeks of R&R, the Duke boys are back! Plenty happened while we were away. Everything from Oblivion Remake leaking (again) to a supposed Xbox console dropping in 2026 circulated, so we have much to pick up at the start of the new year. For starters, a Developer Direct looms and the lineup could be stacked if it's to include The Outer Worlds 2, Fable, DOOM: The Dark Ages, and South Of Midnight as expected. The question on the tip of everyone's tongue is simply this: "What is the mystery fifth game appearance?" In year one, it was Hi Fi Rush. Year two gave it to a rare third party appearance in Square Enix for Visions Of Mana. The Duke debate what could show up! We also dive into Xbox's sudden competition with Valve as they've lept headfirst into challenging Windows with their own OS. How has this accelerated Microsoft's plans without a handheld ready? Plus, grim estimates of Xbox's current console sales and, even worse, Xbox's sales hits to Game Pass titles! Please keep in mind that our timestamps are approximate, and will often be slightly off due to dynamic ad placement. 0:00:00 - Intro 0:35:13 - Dispelling the Black Myth Wukong… myth? 0:44:29 - Series X & S sales estimates are bleak 1:03:08 - 80% of sales lost on Game Pass titles 1:11:44 - Xbox Cloud Gaming is headed to LG Smart TVs 1:12:38 - Kojima's OD sees a setback 1:16:40 - Xbox rejected a Halo/DOOM crossover for Secret Level 1:21:22 - Jez Corden on more Indiana Jones games 1:24:19 - Season 1 of Marvel Rivals revealed 1:30:54 - Splash Damage cancels Transformers: Reactivate 1:33:52 - SEGA considering its own subscription service 1:37:24 - First look at Virtua Fighter 6 1:41:31 - PlatinumGames says they're planning some things.. 1:44:22 - Will Shen, former lead quest designer at BGS, on massive games 1:52:33 - So, this is where the former Annapurna Interactive team went 1:55:46 - SteamOS is available for third party devices 2:04:14 - Destiny 2 has lost 90% of its Steam players in seven months 2:13:37 - What We're Playing 2:51:47 - Matty's 74 Hours on Xbox 3:06:31 - Xbox Developer Direct soon? 3:30:03 - Oblivion Remake rumors 3:48:17 - Coming soon to Xbox Game Pass 3:51:00 - Game Pass Pick Of The Week Learn more about your ad choices. Visit podcastchoices.com/adchoices

Join us for an inspiring conversation on transforming health care with Kim Downey, a physician advocate and physical therapist; Dawn Ellison, an emergency physician; and Denise Wiseman, a health care executive. Together, they discuss grassroots efforts, the power of collaboration, and their work with organizations like Medicine Forward and the Health Care Reinvention Collaborative to restore trust, compassion, and innovation in the system. Kim Downey is a physician advocate and physical therapist. Dawn Ellison is an emergency physician. Denise Wiseman is a health care executive. They discuss the KevinMD article, "Do you think the needle is moving in health care?" Our presenting sponsor is DAX Copilot by Microsoft. DAX Copilot, by Microsoft, is your AI assistant for automated clinical documentation and workflows. DAX Copilot allows physicians to do more with less and turn their words into a powerful productivity tool. DAX Copilot automates clinical documentation—making it available in the EHR within minutes—and clinical workflows, including referral letters, after-visit summaries, style and formatting customizations, and more. 70 percent of physicians who use DAX Copilot say it improves their work-life balance while reducing feelings of burnout and fatigue. Patients love it too! 93 percent of patients say their physician is more personable and conversational, and 75 percent of physicians say it improves patient experiences. Discover AI-powered solutions for clinical documentation and workflows. Click here to see a 12-minute DAX Copilot demo. VISIT SPONSOR → https://aka.ms/kevinmd SUBSCRIBE TO THE PODCAST → https://www.kevinmd.com/podcast RECOMMENDED BY KEVINMD → https://www.kevinmd.com/recommended GET CME FOR THIS EPISODE → https://www.kevinmd.com/cme I'm partnering with Learner+ to offer clinicians access to an AI-powered reflective portfolio that rewards CME/CE credits from meaningful reflections. Find out more: https://www.kevinmd.com/learnerplus

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