Podcasts about heygen

Ever wish you could show your Etsy products in action without ever touching a camera?

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Elizabeth Knopf (https://x.com/leveragedupside) about the biggest AI tools updates of 2025.I was incredibly excited to sit down with Liz this week because OpenAI just dropped massive updates, including ChatGPT 5, OpenAI Pulse, and the game-changing Sora 2 AI video generator. We dive straight into Sora 2, a revolutionary AI video generation tool and text-to-video AI platform that's disrupting content creation for entrepreneurs and small business owners.We discuss how Sora 2 creates stunningly accurate AI digital clones and AI avatars of yourself from just five seconds of video—no expensive equipment or video editing software needed. This AI cloning technology is lightyears ahead of older AI video tools like HeyGen, Synthesia, and D-ID.We analyze OpenAI's genius product launch strategy and growth hacking tactics, using an invite-only system and leaning on Sam Altman for founder marketing and personal branding, creating immediate scarcity marketing and viral growth that could launch a totally new AI social media platform and AI content platform to compete with TikTok, Instagram Reels, and YouTube Shorts.Next, we switch gears to Anthropic's major updates for Claude AI. I was shocked to see the new Claude Chrome extension and Claude browser integration, which allows the AI assistant to analyze web pages, scrape data, automate browser workflows, and perform real-time automation tasks like a virtual assistant. This is perfect for business automation, data entry automation, and workflow optimization for first-time entrepreneurs building their online business.Finally, Liz demonstrates Claude Sonnet 4.5's ability to generate professional PowerPoint presentations, pitch decks for startups, and perfectly formatted CSV files and Excel spreadsheets directly from complex data sources and PDF documents. This eliminates tons of manual data entry and grunt work for any business owner, solopreneur, or content creator trying to scale to their first million dollars.Questions This Episode Answers:How did OpenAI use scarcity marketing and social media strategy to achieve a massive viral product launch for Sora 2 AI?How does the Sora 2 Cameo feature create highly realistic AI digital clones and deepfake avatars faster than previous AI video generation tools like HeyGen, Runway ML, and Pika Labs?How can small business owners and entrepreneurs leverage the new Claude Chrome extension for real-time browser automation, web scraping, data extraction, and workflow automation directly in Google Chrome?What makes Sora 2's inversion of AI technology into an entertainment platform and social network a "paradigm shift" compared to traditional marketing-focused AI tools and B2B SaaS products?How does the updated Claude AI model now generate high-quality PowerPoint decks, business presentations, and structured CSV data exports from complex PDF files and financial documents for business intelligence and data analysis?__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 The Rise of AI Automation13:45 Sora: A New Era in Content Creation24:00 Claude's New Features and Updates

Want to create AI Videos? Get the guide: https://clickhubspot.com/mhg Ep. 367 Will Sora 2 make TikTok obsolete? Kipp and Kieran dive into the jaw-dropping launch of Sora 2—a next-gen AI video model that's shaking up everything we know about content, virality, and social networks. Learn more on why Sora 2 could redefine online personas with its AI cloning and “cameo” feature, what happens when anyone can monetize their digital likeness, and how the tidal wave of AI-generated “slop” is forcing marketers and brands to rethink what it means to stand out online. Mentions Sora 2 https://openai.com/index/sora-2/ V03 https://v03ai.com/ Heygen https://www.heygen.com/ ElevenLabs https://elevenlabs.io/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Sales is changing faster than most people realize, and artificial intelligence is leading the charge. In this episode of the Close The Deal Podcast, I sit down with Henry Hayes, founder of Disrupt Ready and adjunct professor at LSU, to unpack what AI really means for sales pros today.We dig into why buyers instantly spot self-serving sales tactics, how mentorship pulls your career forward, and why ignoring AI is like ignoring the internet back in the '90s. Henry shares practical ways to get started—plus the tools he recommends, including ChatGPT, Otter.ai, Fireflies, Heygen, and Synthesia.Henry's bottom line is clear: AI won't replace great salespeople, but it will replace those who refuse to adapt.If you're ready to cut out the boring work, sharpen your focus on customers, and thrive in a world that's changing fast, this conversation is for you.##Visit www.CloseTheDeal.com to see all episodes.Ewell Smith is talking with sales and marketing pros who help professionals and business owners drive more leads and close more deals. Close The Deal Podcast Supported by Your First FranchiseWe have gift for you for listening - grab a copy of Your First Franchise Roadmap.Visit www.CloseTheDeal.com to see all episodes.

Sur quelles tâches as-tu déjà pris l'habitude de te faire aider par des outils de l'IA ? Depuis quelques années, elle s'est imposée dans notre quotidien et dans nos business.Certains entrepreneurs savent déjà en tirer parti pour obtenir d'excellents résultats. Et toi, est-ce que tu maîtrises l'IA ? Te permet-elle de gagner du temps, donc de l'argent… mais surtout, d'attirer plus de clients ?Contrairement à ce qu'on pourrait croire, les différents outils de l'IA ne sont pas juste un effet de mode : c'est un véritable atout, à condition de savoir l'utiliser intelligemment.Dans cet épisode, je te partage les outils d'IA que j'utilise, et comment je les intègre à chaque étape du parcours client.Voici la liste : ChatGPT (https://chatgpt.com/) Happyscribe (https://www.happyscribe.com/fr)Opus Clip (https://www.opus.pro)HeyGen (https://app.heygen.com)Go High Level (https://www.gohighlevel.com/ai-chatbot)Fireflies.ai (https://fireflies.ai/)ClickUp Brain (https://app.clickup.com)Zoom AI Companion (https://www.zoom.com/fr/products/ai-assistant/) Après avoir écouté ce podcast, tu seras capable d'analyser ce que tu peux améliorer dans ton business, grâce à l'IA. Tu peux travailler moins, mais MIEUX, et gagner plus.

Marketing is being eaten by AI.What's that mean? And, more importantly, what does that mean for you and your real estate business?For answers, you've got two of the top marketing minds in real estate, Jimmy Mackin and Jason Pantana, here in our third Techtember episode.Leveraging generative AI and agentic AI.Balancing quality and efficiency - balancing new tools and tech with the good old human touch.Enhancing efficiency and profit.Evolving past basic automations to improve marketing and operations.You've got about 25 minutes Jimmy followed by 24 minutes with Jason - here in our third Techtember episode - on Real Estate Team OS!JIMMY MACKIN“AI is massively under-hyped right now.”“There's never been a better time to be in real estate."“We're living through the most interesting revolution of our time.”You'll hear all three of these statements in just the first three minutes of a philosophical, strategic, and tactical conversation with Jimmy Mackin, who's on a mission to be the most useful person in the real estate industry.Learn how AI is affecting marketing, customer experience, and automation - and get some tools and next steps to help.Watch or listen for insights into:Why “there's never been a better time to be in real estate”Why he recommends buying research tools and hiring a research assistantWhy and how marketing is being “eaten by AI”How to balance quality vs efficiencyHow agentic AI is transforming the if/then automations we've relied onThree things a real estate professional should do today in light of this conversationJASON PANTANAIf you'd benefit from learning processes to audit and automate your operations, segment and personalize your email marketing, leverage AI for content creation, focus on human touch where it matters, and experiment with new AI tools, you're in the right place.For nearly a decade, Jason Pantana's served as a coach, trainer, and speaker for Tom Ferry International, where he's the resident AI expert and creator of the AI Marketing Academy. In this conversation, he shares a simple, powerful “autonomous driving vehicle” metaphor for AI and your email marketing and a simple, powerful vision for an “army of AI agents” powering your business operations.He also gives you a quick-hit round up of 8 top tech tools and ways to use them, including video and voice cloning.Watch or listen for insights into:Why email marketing is the most underused or misused tech in most real estate businesses and how to improve itWhat agentic AI is and why it's the “single greatest operational enhancement and advantage ever known to technology and it's right under your nose right now”A 3-step process to intelligently automate more of your operationsHow to decide where to automate and where to maintain the human touchA quick-hit round up of 8 top tech tools and ways to use themAI-related tools mentioned in this episode: → AI Marketing Academy (use code AIM50OFF) https://aimarketingacademy.ai/→ Endel https://endel.io/→ Perplexity https://www.perplexity.ai/→ Intercom https://www.intercom.com/→ Fyxer https://fyxer.ai→ Zapier Agents https://zapier.com/agents→ Captions https://www.captions.ai/→ BigVu https://bigvu.tv/→ Descript https://www.descript.com/→ CapCut https://www.capcut.com/→ ElevenLabs https://elevenlabs.io/→ HeyGen https://www.heygen.com/→ Claude https://claude.ai/→ ChatGPT https://chatgpt.com/Connect with Jimmy Mackin:→ https://www.instagram.com/jimmymackin/Connect with Jason Pantana:→ https://www.instagram.com/jasonpantana/Connect with Real Estate Team OS:→ https://www.realestateteamos.com→ https://linktr.ee/realestateteamos→ https://www.instagram.com/realestateteamos/

Creamos un clon de voz y video que SÍ parece humano. Por primera vez abrimos pantalla y te llevamos paso a paso: diseño de voz en ElevenLabs, avatar en HeyGen, lipsync limpio, guion corto que no suena robótico, y ajustes finos para que el resultado sea usable en ads, cursos o soporte. Incluye nuestro flujo de trabajo real, pruebas en vivo y los errores que arruinan el resultado (y cómo evitarlos). Apps usadas:

#279 Content Strategy | In this episode, Dave joins Holly Xiao from HeyGen for an unfiltered conversation about where AI and video marketing are headed. Holly leads B2B marketing at HeyGen, an AI-powered video platform, and she sat down with Dave to dig into what's working (and what's not) when it comes to creating content that actually connects.Dave and Holly cover:Why video hits differently in B2B and how to make yours stand out without blowing your budgetHow AI is reshaping the content production cycle and freeing up marketers to focus on storytellingWhy early adoption matters, and how small teams can use AI to punch above their weightYou can expect a candid, practical conversation about how to scale content, stay relevant, and make the most of AI.Timestamps(00:00) - – Intro (01:27) - – Why this conversation matters (02:44) - – AI is making marketing exciting again (03:53) - – Dave's early bet on video (05:53) - – How LinkedIn video exploded (07:10) - – ROI vs. brand building (08:25) - – From connection to conversion (10:10) - – Why video feels more human (12:16) - – “Maybe your videos suck” (14:22) - – The problem with corporate videos (16:10) - – The value of repetition and reps (18:34) - – How AI speeds up content cycles (20:51) - – Real AI tools Dave is using (22:28) - – Decks, data, and automation (24:53) - – Why creativity still wins (27:15) - – The return of the creative CMO (31:14) - – Personalized content at scale (33:13) - – AI vs. in-person experiences (35:55) - – Do audiences care if it's AI? (38:41) - – What makes an AI video work (41:18) - – Using AI to test and scale video (43:59) - – What small teams should do first (47:37) - – Final advice: be an early adopter Send guest pitches and ideas to hi@exitfive.comJoin the Exit Five Newsletter here: https://www.exitfive.com/newsletterCheck out the Exit Five job board: https://jobs.exitfive.com/Become an Exit Five member: https://community.exitfive.com/checkout/exit-five-membership***This episode of the Exit Five podcast is brought to you by Qualified.AI is the hottest topic in marketing right now. And one thing we hear a lot of you marketers talking about is how you can use AI Agents to help run your marketing machine.That's where Qualifed comes in with Piper, their AI SDR agent.Piper is the #1 AI SDR Agent on the market according to G2, and hundreds of companies like Box, Asana, and Brex, have hired Piper to autonomously grow inbound pipeline. How good does that sound?Qualified customers are seeing a massive business impact with Piper: a 3X increase in meetings booked and a 2X increase in pipeline.The Agentic Marketing era has arrived. And if you're a B2B marketing leader looking to scale pipeline generation, Piper the #1 AI SDR Agent is here to help.Hire Piper, the #1 AI SDR Agent, and grow your pipeline today.You can learn more at qualified.com/exit5

Send us a textIn this audio-focused episode of Sidecar Sync, Mallory Mejias and Amith Nagarajan explore three groundbreaking advancements in AI audio technology—starting with Google's real-time voice translation for seamless cross-language communication. They then unpack Microsoft's open-source Vibe Voice, capable of generating full-length, multi-speaker podcasts, before diving into ElevenLabs Music, an AI tool creating fully-licensed, studio-quality tracks from simple prompts. Tune in for laughs, live demos, and serious implications for associations, from global content reach to AI-driven personalization. Plus, hear the hilarious tale of Amith's early-morning car debacle and Mallory's AI-generated bounce anthem for associations. This one hits all the right notes!

Join me as I chat with Cody Schneider, where we go through a comprehensive marketing playbook for founders of "vibe-coded" startups, focusing on paid acquisition strategies that deliver immediate results. He walks through the exact process of setting up Google Ads campaigns with proper keyword targeting and conversion tracking, then explains how to create effective Facebook/Instagram ads using AI-generated content. The emphasis throughout is on testing multiple creative variations and optimizing for actual conversions. Timestamps: 00:00 - Intro 03:29 - Validate Demand 07:00 - Google Ads Overview 11:43 - Finding Keywords 15:59 - Setting Up Google Ads Campaign 17:16 - Landing page best practices 19:25 - Google Tag Manager Tutorial 24:38 - Why RUN Paid Ads 28:29 - How to structure the funnel 31:04 - Meta Ads Overview 33:26 - Finding Pain Points with Perplexity 34:25 - Writing the script for the Ad 40:34 - Creating AI avatar with HeyGen and ElevenLabs 44:01 - Setting Conversion Tracking for Meta Ads 46:04 - Setting Conversion Tracking for Meta Ads Key Points: • Focus on transactional marketing (immediate signups) when starting out rather than long-term strategies like SEO • Google Ads setup with phrase match keywords and conversion tracking is essential for SaaS products • Facebook/Instagram ads work differently than search ads - they disrupt users rather than fulfill search intent • AI avatar videos with compelling hooks perform best for SaaS marketing currently The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com  The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CODY ON SOCIAL Cody's startup: https://www.graphed.com  X/Twitter: https://x.com/codyschneiderxx  Youtube: https://www.youtube.com/@codyschneiderx

In this episode of Project Synapse, the team delves into a plethora of AI tools and technologies, rekindling their original playful approach to understanding AI's latest advancements. Marcel Gagner takes the lead, showcasing various tools like Google's Nano Banana, Gemini 2.5 Image Generator, and the emergent Genie 3, among others. The discussion highlights real-world physics, world models, and interactive environments. They also explore the use of voice cloning and digital twins with Heygen, and music generation with Suno. The episode emphasizes the importance of educating, monitoring, and involving oneself in AI technology, particularly for parents with children interacting with AI systems. 00:00 Introduction to Project Synapse 00:50 Meet Marcel Gagner 02:33 AI Tools and Subscriptions 08:38 Exploring Google's Gemini 10:43 Creating Custom Images and Videos 32:31 Storybook Creation with AI 41:12 The Importance of Monitoring Kids' AI Usage 41:51 Parental Involvement and AI Risks 45:50 AI and Music Generation Tools 49:45 Creating Personalized AI Content 54:01 Exploring Advanced AI Tools and Ethics 56:25 The Future of AI in Creative Fields 59:34 Interactive AI Worlds and Final Thoughts

Dans ce 129 ème épisode, je vous partage mon "summer mix IA" des outils d'IA testés cet été pour s'amuser, créer, expérimenter…Entre deepfakes amusants, remix musicaux, photos augmentées et jeux pour les enfants, vous allez voir : l'IA peut aussi rimer avec fun. D-ID ou HeyGen – Pour créer une vidéo deepfake drôle ou bluffante Idéal pour surprendre vos amis, faire un post LinkedIn créatif ou créer une intro de formation qui ne passe pas inaperçue.Avec D-ID ou HeyGen, vous pouvez :Faire parler un avatar qui vous ressemble (ou pas !)Traduire votre message dans 20 langues avec synchronisation labialeCréer une fausse “interview de vous par vous-même” Exemple d'usage fun : “Bonjour, je suis Élodie du futur, et voici ce que j'aurais aimé savoir avant l'été…”Un outil à tester si vous aimez surprendre ou créer du contenu original avec une touche humoristique.Suno – L'appli pour générer vos propres musiques en 2 clics Idéal pour créer une playlist de vacances 100% personnalisée, ou mettre en musique vos contenus (vidéo, podcast, stories…)Avec Suno AI, vous tapez un prompt du type : “Summer chill pop avec des vibes électroniques et des paroles sur l'IA qui prend des vacances.”Résultat : une chanson de 2 minutes avec des paroles, une mélodie et même une voix chantée !J'ai testé le tube de l'été avec un extrait à découvrir dans cet épisode : Ocean over Peaks : C'est improbable, mais addictif.Remini / PhotoRoom / Playground AI – Pour transformer vos photos de vacances Idéal pour ajouter une touche artistique à vos souvenirs ou créer des visuels stylés sans y passer des heures.Quelques usages :Remini pour améliorer une photo floue ou agrandir un détail sans perte de qualitéPhotoRoom pour détourer et changer l'arrière-plan (vous en train de “travailler” sur une plage des Maldives ?)Playground AI pour styliser vos photos façon “carte postale IA” (dessin, cartoon, aquarelle…)Parfait pour créer des souvenirs créatifs ou alimenter vos réseaux sans effort.Scribble Diffusion – Dessine un gribouillis, il en fait une œuvre ! Idéal pour jouer avec les enfants, créer des logos rigolos, ou s'amuser à dessiner sans talent.Scribble Diffusion, c'est un outil magique :Vous dessinez un croquis ultra-simple (ex : un bonhomme, une maison, une glace…)L'IA le transforme en image réaliste ou stylisée, selon votre prompt.Testé avec des enfants, ça déclenche des fous rires et de belles idées créatives.ChatGPT en mode jeu : “invente-moi une histoire, un jeu ou un quiz d'été” Idéal pour occuper petits et grands, faire un quiz apéro, ou écrire un mini-roman de l'été en famille.Quelques idées de prompts fun à tester :“Invente une chasse au trésor sur la plage pour des enfants de 6 à 10 ans.”“Fais-moi un quiz rigolo sur les inventions IA absurdes.”“Écris-moi une mini-histoire dont je choisis les rebondissements.”Vous pouvez même créer des jeux de rôle ou des devinettes à thème (plage, montagne, barbecue…).Conclusion : Et si l'IA, c'était aussi du jeu ? On parle souvent d'IA pour travailler mieux, aller plus vite, optimiser.Mais l'IA, c'est aussi une porte ouverte sur l'imaginaire, la créativité, le fun.Et cet été, c'est le moment idéal pour tester ça sans pression.Alors, amusez-vous avec D-ID, Suno, Scribble Diffusion, ChatGPT…Et surtout, laissez place à l'expérimentation — c'est là que naissent souvent vos meilleures idées Et vous ? Quel outil IA fun vous avez testé cet été ?Partagez-le-moi sur LinkedIn, je le glisserai peut-être dans un prochain épisode Soutenez le podcast :✅ Abonnez-vous à DigitalFeeling sur LinkedIn

Engineering leadership is undergoing a seismic shift, requiring playbooks to be rewritten, in real-time. In this special episode, hosts Patrick Gallagher and Jerry Li give you an inside look at the ELC Annual 2025 experience, and how the two-day conference will equip you with new mental models, skills, and frameworks required to lead.Get a preview of tactical takeaways from deep operational dives into companies like OpenAI, Amplitude, and HeyGen. Discover how the conference will help you redesign your innovation engine, transform your team's workflows, and blur the lines between engineering, product, and business to drive impactful change. Through a unique mix of tactical sessions, peer-led roundtables, and curated mentorship, you'll learn how to find the community and coaching needed to lead through uncertainty and invest in your own career growth.To learn more & get tickets, go to sfelc.com/annual2025Use code podcast15 for 15% off tickets - group tickets / discounts available. ABOUT ELC ANNUALThe playbook for engineering leadership is being rewritten. ELC Annual 2025, happening September 10-11 in San Francisco, is where you'll gain the insights, strategies, and deep connections needed to lead in this new era. 50+ speakers, 50+ peer-led roundtables discussions, 1:1 matching to expand your network. Insights, connections & support.Join the community of engineering leaders who are co-creating the future of our field.Listener Discount → Use code podcast15 for 15% offGroup Tix → For teams looking to attend together, special group discounts can be found under the 'Tickets' section of our website!Secure your ticket at sfelc.com/annual2025 ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you've invested in AI agents for code generation, but they're limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!

In this episode of the Tech Seeking Human podcast, hosts Joshua Sims and Dave Anderson explore the latest advancements in AI tools, including ChatGPT, Gemini, VO3, HeyGen and Suno. They discuss the implications of these technologies on creative industries, the ethical concerns surrounding deepfakes, and the future of work in an AI-driven world. The conversation includes hands-on demos, personal experiences with AI applications, and predictions for how these tools will shape various sectors. Including how Dave purchased a Bronco using ChatGPT. 00:00Introduction to AI Tools and Demos01:26Exploring ChatGPT and Gemini for Work06:17Deep Dive into Gemini and Visual Tools08:41HeyGen and the Future of Digital Avatars12:07Ethics of AI and Deepfakes15:22The Role of AI in Creative Industries19:19VO3: AI Video Generation and Its Impact29:57Suno: AI Music Creation and Its Implications35:08Building Apps with AI: A Case Study44:19The Future of Work in an AI-Driven World51:15Final Thoughts and Future Predictions

Welcome to Episode 292 of the Grow Your Law Firm podcast, hosted by Ken Hardison. In this episode, Ken sits down with Michael Mills, founder of Business Design Corporation and creator of the TouchStone Business System, to explore how law firms can escape SOP chaos and achieve operational independence. With over 25 years of experience as an entrepreneur, software innovator, and Master Certified E-Myth Consultant, Michael has helped thousands of business owners turn disorganized operations into scalable, process-driven companies. His TouchStone platform is built specifically for implementing systems—not just documenting them—making it easier to train teams, maintain consistency, and grow without losing control. What you'll learn about in this episode:   AI-generated videos support diverse learning styles - Touchstone uses AI videos to match how different people learn - Tools like HeyGen turn SOPs into clear, engaging video formats Keep processes simple and clear - Processes should be concise and easy to follow - Train staff to write clear, actionable instructions Structure processes by core business functions - Organize SOPs across sales, marketing, HR, and more - Avoid SOP chaos with a clear implementation plan Know when and what to systematize - Only write processes for tasks that are frequent and complex - Focus leadership on high-impact work, not routine tasks Boost training with video and written SOPs - AI videos make SOPs easier to absorb and retain - Use video and text together for stronger training outcomes     Resources:  Website: www.businessdesigncorp.com/  LinkedIn: www.linkedin.com/in/michael-mills-bdc/  Facebook: www.facebook.com/BusinessDesignCorp Twitter (X): x.com/TouchStoneBDC Additional Resources:    https://www.pilmma.org/aiworkshop https://www.pilmma.org/the-mastermind-effect https://www.pilmma.org/resources https://www.pilmma.org/mastermind

In this episode of The Healthier Tech Podcast, we dive headfirst into the uncanny rise of AI-generated influencers—and what it means for your health, your identity, and your sanity. If you've ever scrolled past a flawless face on social media and felt just a little worse about your own, this episode is for you. We break down how synthetic influencers like Lil Miquela and AI video tools like HeyGen and Sora are reshaping not only marketing and media—but also our perception of what's real, what's desirable, and what's even possible. Highlights you won't want to miss: How the digital influencer economy is being infiltrated by perfect, programmable personas Why our brains struggle to tell the difference between reality and AI-generated content The psychological toll of comparing ourselves to flawless fakes How ideal self distortion is warping mental health, especially in teens Why authenticity is becoming the new luxury in the age of AI 5 real-world ways to protect your mental clarity and digital wellness starting today This isn't just a tech trend—it's a cultural shift. And it's happening right now, on your feed, in your head, and across every scroll of your screen. If you care about digital wellness, tech-life balance, and protecting your mental health in a synthetic world, hit play. This episode is brought to you by Shield Your Body—a global leader in EMF protection and digital wellness. Because real wellness means protecting your body, not just optimizing it. If you found this episode eye-opening, leave a review, share it with someone tech-curious, and don't forget to subscribe to Shield Your Body on YouTube for more insights on living healthier with technology.

#270 Strategy | Dave is joined by Holly Xiao, Head of B2B Marketing at HeyGen, an AI video generation platform that helps teams produce personalized, high-quality content, fast. Holly has led marketing at high-growth startups and now runs the enterprise GTM motion at HeyGen, where she blends strategy, creative execution, and AI-powered workflows to reach modern B2B buyers.Dave and Holly cover:The 4 channels her lean team is betting on to drive enterprise pipeline (and what's not working anymore)How B2B marketers are using AI video for event marketing, sales enablement, onboarding, and beyondWhy SEO is falling short and how HeyGen is shifting focus to webinars, events, and YouTube insteadIf you're figuring out how to use AI in your marketing or just trying to do more with less, this one's full of practical ideas to help you think differently about team structure, channels, and strategy.Timestamps(00:00) - – Intro (03:48) - – Holly's nonlinear path to marketing (06:48) - – Getting started in marketing ops (08:48) - – Why she joined an AI startup (10:48) - – How HeyGen's marketing org works (13:48) - – PLG vs SLG: Key differences (15:48) - – The 4 channels driving pipeline (17:48) - – What's working: Events + webinars (19:48) - – Booth strategy that stands out (24:23) - – Brand vs demand events (26:23) - – Building community and user events (27:53) - – SEO is declining. Now what? (30:23) - – Running marketing in 2-month sprints (33:23) - – Aligning product and marketing cadence (35:23) - – Her daily AI tools (36:53) - – ChatGPT vs Gemini workflows (38:23) - – Real AI video use cases (40:23) - – Personalized event promos with avatars (41:23) - – Support, training, and onboarding videos (42:23) - – Fortune telling and music videos?! (43:23) - – Why AI won't replace marketers Send guest pitches and ideas to hi@exitfive.comJoin the Exit Five Newsletter here: https://www.exitfive.com/newsletterCheck out the Exit Five job board: https://jobs.exitfive.com/Become an Exit Five member: https://community.exitfive.com/checkout/exit-five-membership***Today's episode is brought to you by Walnut.Why are we pouring all this effort into marketing just to push buyers to a “request a demo” or “contact sales” button?Come on, today's buyers don't want to talk to sales right away. They want to explore your product themselves, see how it works, and understand its value before booking a meeting.That's where Walnut comes in.Walnut empowers marketers and GTM teams to create interactive, self-guided product experiences in minutes. Embed these experiences on your site, in emails, or anywhere in your funnel to let buyers engage on their terms, from awareness to close and beyond. That's the beauty of Walnut - you're getting a platform that your sales and CS colleagues can use to showcase the product too.And the best part? You get real intent data—see which features prospects love, where they drop off, and what's actually driving pipeline. Demo Qualified Leads are the new MQL.Over 500 companies, like Adobe and NetApp, use Walnut to drive 2-3x higher website conversion rates and 7 figures in pipeline on a yearly basis. So do you want to drive more leads, shorten sales cycles, and actually show your product instead of hiding it behind another typical B2B CTA? Go check out Walnut.io. And if you tell them Dave from Exit 5 sent you, they'll build out your first demo for free!

Personalized video prospecting is transforming outreach. Mark and Tony Morris (the brilliant mind behind ‘Coffee Is for Closers') explore how tools like Lusher, Apollo, and RocketReach are reshaping the European prospecting landscape. They'll delve into the nuances of crafting video messages that not only capture attention, but also elevate your brand in today's competitive market. With AI advancements like HeyGen, discover how these technologies can streamline your workflow. Learn how tools like BombBomb and HeyGen are making waves with their innovative features. Imagine sending video messages that appear custom-made, using sophisticated lip-syncing technology to address thousands of prospects individually. With open rates soaring to 48% for cold emails, these strategies are not just enhancing engagement, but transforming the entire outreach paradigm. Mark and Tony also share insights on fine-tuning email components — from subject lines to body content — ensuring that your message doesn't just reach inboxes but actually resonates and leads to conversions.

Google Veo leads the generative video market with superior 4K photorealism and integrated audio, an advantage derived from its YouTube training data. OpenAI Sora is the top tool for narrative storytelling, while Kuaishou Kling excels at animating static images with realistic, high-speed motion. Links Notes and resources at ocdevel.com/mlg/mla-26 Try a walking desk - stay healthy & sharp while you learn & code Build the future of multi-agent software with AGNTCY. S-Tier: Google Veo The market leader due to superior visual quality, physics simulation, 4K resolution, and integrated audio generation, which removes post-production steps. It accurately interprets cinematic prompts ("timelapse," "aerial shots"). Its primary advantage is its integration with Google products, using YouTube's vast video library for rapid model improvement. The professional focus is clear with its filmmaking tool, "Flow." A-Tier: Sora & Kling OpenAI Sora: Excels at interpreting complex narrative prompts and has wide distribution through ChatGPT. Features include in-video editing tools like "Remix" and a "Storyboard" function for multi-shot scenes. Its main limits are 1080p resolution and no native audio. Kuaishou Kling: A leader in image-to-video quality and realistic high-speed motion. It maintains character consistency and has proven commercial viability (RMB 150M in Q1 2025). Its text-to-video interface is less intuitive than Sora's. Summary: Sora is best for storytellers starting with a narrative idea; Kling is best for artists animating a specific image. Control and Customization: Runway & Stable Diffusion Runway: An integrated creative suite with a full video editor and "AI Magic Tools" like Motion Brush and Director Mode. Its value is in generating, editing, and finishing in one platform, offering precise control over stylization and in-shot object alteration. Stable Diffusion: An open-source ecosystem (SVD, AnimateDiff) offering maximum control through technical interfaces like ComfyUI. Its strength is a large community developing custom models, LoRAs, and ControlNets for specific tasks like VFX integration. It has a steep learning curve. Niche Tools: Midjourney & More Midjourney Video: The best tool for animating static Midjourney images (image-to-video only), preserving their unique aesthetic. Avatar Platforms (HeyGen, Synthesia): Built for scalable corporate and marketing videos, featuring realistic talking avatars, voice cloning, and multi-language translation with accurate lip-sync. Head-to-Head Comparison Feature Google Veo (S-Tier) OpenAI Sora (A-Tier) Kuaishou Kling (A-Tier) Runway (Power-User Tier) Photorealism Winner. Best 4K detail and physics. Excellent, but can have a stylistic "AI" look. Very strong, especially with human subjects. Good, but a step below the top tier. Consistency Strong, especially with Flow's scene-building. Co-Winner. Storyboard feature is built for this. Co-Winner. Excels in image-to-video consistency. Good, with character reference tools. Prompt Adherence Winner (Language). Best understanding of cinematic terms. Best for imaginative/narrative prompts. Strong on motion, less on camera specifics. Good, but relies more on UI tools. Directorial Control Strong via prompt. Moderate, via prompt and storyboard. Moderate, focused on motion. Winner (Interface). Motion Brush & Director Mode offer direct control. Integrated Audio Winner. Native dialogue, SFX, and music. Major workflow advantage. No. Requires post-production. No. Requires post-production. No. Requires post-production. Advanced Multi-Tool Workflows High-Quality Animation: Combine Midjourney (for key-frame art) with Kling or Runway (for motion), then use an AI upscaler like Topaz for 4K finishing. VFX Compositing: Use Stable Diffusion (AnimateDiff/ControlNets) to generate specific elements for integration into live-action footage using professional software like Nuke or After Effects. All-in-one models lack the required layer-based control. High-Volume Marketing: Use Veo for the main concept, Runway for creating dozens of variations, and HeyGen for personalized avatar messaging to achieve speed and scale. Decision Matrix: Who Should Use What? User Profile Primary Goal Recommendation Justification The Indie Filmmaker Pre-visualization, short films. OpenAI Sora (Primary), Google Veo (Secondary) Sora's storyboard feature is best for narrative construction. Veo is best for high-quality final shots. The VFX Artist Creating animated elements for live-action. Stable Diffusion (AnimateDiff/ComfyUI) Offers the layer-based control and pipeline integration needed for professional VFX. The Creative Agency Rapid prototyping, social content. Runway (Primary Suite), Google Veo (For Hero Shots) Runway's editing/variation tools are built for agency speed. Veo provides the highest quality for the main asset. The AI Artist / Animator Art-directed animated pieces. Midjourney + Kling Pairs the best image generator with a top-tier motion engine for maximum aesthetic control. The Corporate Trainer Training and personalized marketing videos. HeyGen / Synthesia Specialized tools for avatar-based video production at scale (voice cloning, translation). Future Trajectory Pipeline Collapse: More models will integrate audio and editing, pressuring silent-only video generators. The Control Arms Race: Competition will shift from quality to providing more sophisticated directorial tools. Rise of Aggregators: Platforms like OpenArt that provide access to multiple models through a single interface will become essential.

Want to scale your side hustle with AI? Get 700 prompts here: https://clickhubspot.com/wbc Episode 725: Sam Parr ( https://x.com/theSamParr ) talks to the founder of Airtable, Howie Liu ( https://x.com/howietl ), about 7 AI business ideas he would start if he was in his 20s. — Show Notes: (0:00) IDEA: Live Shopping w/ AI avatars (5:34) IDEA: AI personalized news (10:36) IDEA: AI Personal Finance Advisor (18:27) IDEA: AI PE model of buy an existing business (24:20) IDEA: Cursor for email (36:53) IDEA: AI-native social apps (38:42) IDEA: Uncensored AI search — Links: • Sesame - https://www.sesame.com/ • Whatnot - https://www.whatnot.com/ • HeyGen - https://www.heygen.com/ • Superhuman - https://superhuman.com/ • Kubera - https://www.kubera.com/ • Addepar - https://addepar.com/ • Airtable - https://www.airtable.com/ • Chief.so - http://chief.so/ — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano

In this episode, I sit down with Craig Grant, CEO of RETI and renowned tech educator, for a high-energy conversation about how artificial intelligence is transforming the real estate industry. From practical insights on leveraging ChatGPT and Google Gemini for day-to-day efficiency, to a deep dive into must-have tools like Canva Pro and the game-changing HeyGen video platform, we unpack what's working now for agents looking to level up their business with the power of AI. Craig shares his perspective on the meteoric rise of AI, why every Realtor needs to embrace it, and how the right technology can automate heavy lifting—without sacrificing legal or ethical standards. We discuss real-world examples, from creating marketing content at lightning speed to AI video editing with Descript, and even how tools like Reimagine Home can help you virtually stage and redesign properties in seconds. Whether you're a seasoned pro or just curious about new tech, Craig drops invaluable nuggets on avoiding AI pitfalls, choosing the right platforms for your workflow, and the importance of always treating artificial intelligence as your first draft—not your final word. He also gives listeners access to his resource-packed slides and a treasure trove of vetted AI recommendations to supercharge your marketing, client communications, and productivity. If you're ready to learn how AI can save you time, amplify your personal brand, and future-proof your real estate career, this episode is packed with actionable strategies you can put to work immediately.

OnBoard! 今年第一场直播回放来啦！我们跨洋连线硅谷资深增长顾问陈畅，2个多小时的访谈，探讨了关于AI应用出海增长的各种干货，直播间饱爆满好评如潮，我们经过整理放出精修音频，绝对值得你反复听几遍！Hello World, who is OnBoard!?今年真是AI应用爆发的大年！诞生不到26个月的ChatGPT 月活已超过8亿，OpenAI 和Anthropic ARR 分别超过100亿美金和50亿美金，Cursor, Lovable, Manus, Genspark 等 AI 应用的用户数和收入增长不断刷新纪录。越来越多的AI应用创业者涌入赛场，如何做增长，就成了最经常被谈论的话题。尤其是对于广大打造出海应用的中国创业者，更是希望听到来自硅谷最一线的经验。Chang 是增长顾问公司Hockey Stick Growth创始人。过去8年里，她服务过的很多客户不仅获得了顶尖VC投资，更是实现了扎实的用户和收入的跃升。这个名单，一定有不少你熟知的公司：HeyGen, Gamma, Otter.ai, 还有最近大火的语音模型公司 Cartesia, 成立不到2年，融资超过$90M, 上千万美金收入……在两个多小时的对话里，Chang非常坦诚地分享了他在硅谷一线观察到的AI产品增长变化，以及那些成功案例背后的真实策略。比如：AI应用增长方式过去几年的变化从"AI化"到"去AI化"的品牌定位趋势背后发生了什么？面对越来越卷的增长渠道，AI产品如何找到突破口？那些"剑走偏锋"的增长策略到底值不值得尝试？KOL和各种渠道营销的具体方法论为什么要考虑 product-channel-fit...如果你正在做AI产品，或者对AI应用的增长策略感兴趣，这期来自硅谷一线的实战分享，绝对不容错过！听过直播的同学，也值得反复复习~Enjoy!嘉宾介绍Chang Chen（陈畅） – 硅谷增长顾问，Hockey Stick 增长顾问公司创始人；曾助力 HeyGen、Gamma、Otter.ai 等头部产品打造爆款增长闭环。OnBoard! 主持：Monica：美元VC投资人，前 AWS 硅谷团队+ AI 创业公司打工人，公众号M小姐研习录 (ID: MissMStudy) 主理人 | 即刻：莫妮卡同学OnBoard! 主持：GN：前SaaS及科技投资人，Global SaaS 社区 Linkloud 发起人，公众号我思锅我在 (ID: thinkxcloud) 主理人。| 即刻：High寧我们聊了什么02:59 Chang 自我介绍，最近看到的有意思的AI 产品和增长方式06:36 AI 应用增长方式的演变：从强调“AI”到回归“产品价值”的“去AI化”趋势。13:30 Go Viral 的底层逻辑：如何利用“猎奇、强大、共情”的用户心理策划病毒式传播？17:37 案例复盘：如何结合热点话题 (Elon Musk's Grok) 策划成功的营销活动？19:59 Product-Channel Fit：如何为产品的不同阶段和用户画像找到最合适的增长渠道？24:00 被低估的增长渠道：为什么 ToB 产品应该重视 LinkedIn？30:12 KOL 营销全攻略：如何识别、触达、并与高质量的 KOL 建立长期合作？41:49 从“爆款”到“体系”：当市场变卷，如何建立可持续的增长护城河？49:47 AI 产品如何收费？订阅制、Pay-as-you-go、混合模式的利弊分析。58:53 从 PLG 到 PLS/SLG：AI 公司如何抓住企业客户，何时应该拓展企业市场？01:10:59 Product-Market Fit 是一个动态过程，出海创业者如何更好地找到它？01:16:24 AI 如何赋能增长团队？从内容生成到渠道拓展的最佳实践和误区。01:20:20 LLM-Native 新渠道：如何在 ChatGPT 和 GPT Store 中获取流量？01:24:07 Product Hunt 打榜还值得做吗？效果、用户质量和平台公信力的变化。01:27:06 从0到1搭建增长团队：创始人何时应该招聘第一个全职增长负责人？01:32:28 推荐的增长信息渠道：Twitter, LinkedIn 和线下分享。01:33:00 未来展望：AI Agent 赛道有哪些“卖铲子”的机会？我们提到的公司和概念HeyGen - AI视频生成领军企业Gamma - AI PPT生成先驱，不到30人团队超过5000万美金ARRCartesia - 语音模型公司，成立不到两年融资超过9000万美金Otter.ai - 会议转录和AI助手，超过1亿美金ARRCluely - "AI agent to cheat on everything"争议性定位Eleven Labs - 语音合成领域头部公司Apollo - 销售线索工具Synthesia - AI 虚拟人生成工具PLG (Product-Led Growth) - 产品驱动增长SLG (Sales-Led Growth) - 销售驱动增长ICP (Ideal Customer Profile) - 理想用户画像PMF (Product Market Fit) - 产品市场契合度别忘了！同步关注两位 Host 的微信公众号，看更多干货内容哦：M小姐研习录 (ID: MissMStudy) by Monica我思锅我在 (ID: thinkxcloud) by GN欢迎在评论区留下你的思考，与听友们互动。喜欢 OnBoard! 的话，也可以点击打赏，请我们喝一杯咖啡！如果你用 Apple Podcasts 收听，也请给我们一个五星好评，这对我们非常重要。最后！快来加入Onboard！听友群，结识到高质量的听友们，我们还会组织线下主题聚会，开放实时旁听播客录制，嘉宾互动等新的尝试。添加任意一位小助手微信，onboard666, 或者 Nine_tunes,小助手会拉你进群。期待你来！

What topic would you like us to cover next?What happens when you mix two decades of digital comms experience with a brain wired for analytics, SEO and AI? You get friend of the show Andrew Bruce Smith. He's the founder of Escherman, a CIPR Fellow, and Chair of the AI in PR panel, not to mention a certified Google Partner who's trained over 3,000 organisations. From global brands to government departments, he's helped them all wrap their heads around data, strategy and the tech shaping modern PR.We dive deep into the rapidly evolving world of AI for marketers with expert Andrew Bruce Smith, exploring how reasoning models, research capabilities, and AI avatars are transforming the marketing landscape at breathtaking speed.• Reasoning models like ChatGPT-4o spend more time thinking through complex problems, delivering better quality responses for marketing plans and strategy • Deep research functionality allows marketers to generate comprehensive market analyses in minutes that previously took weeks and cost thousands • Understanding when to use different AI models is crucial, reasoning models for complex tasks, standard models for simpler requests • AI avatars through tools like HeyGen and Syntesia can create promotional videos and may soon represent you in meetings • The rise of agentic AI allows for autonomous systems that can execute complex workflows with minimal human intervention • Marketers need to rethink where they add value as AI handles more tasks, potentially moving from time-based to value-based billing • AI isn't replacing jobs but tasks, freeing humans to focus on strategic thinking and creativityThe best place to find Andrew is on LinkedIn (there's only one Andrew Bruce Smith) or at his website escherman.com. Is your marketing strategy ready for 2025? Book a free 15-min discovery call with Chris to get tailored insights to boost your brand's growth.

Estas son las herramientas de IA que usamos para tener tiempo de TODO: Crecer nuestras empresas, grabar 2 episodios a la semana, viajar y aún así tener vida personal. Literal automatizamos casi todo: desde reuniones, correos y planificación, hasta contenido, ediciones y reportes. Si no estás usando estas herramientas, estás perdiendo horas de tu vida que nadie te va a devolver.

Send me a message Using AI to Post 41 Videos a Week Without Lifting a Finger with Josh RogersIf you're still sitting on the sidelines watching other agents blow up on Instagram, this episode is your wake-up call.I sat down with Josh Rogers, who went from 0 to over 22,000+ Instagram followers in 90 days using a system. Josh is cranking out 41 videos a week while homeschooling 8 kids and still running a high producing sales team in Jacksonville, FL. And the wildest part? Most of the videos aren't even made by him.In this episode, we break down:The exact tech stack Josh is using (HeyGen, ElevenLabs, and ChatGPT)How his VA runs the entire content machineWhat kind of content actually gets views, shares, and DMsHow to use Instagram Stories + polls to generate leads without being salesyAnd why you need to stop waiting until it's “perfect” if you ever want to scalePlus, Josh gives you access to the full system via his free cheat sheet:

Send us a textIn this episode of Sidecar Sync, co-hosts Amith Nagarajan and Mallory Mejias dive deep into the cutting edge of AI-generated audio and video. Mallory demos the stunning new ElevenLabs V3 voice engine and the lifelike hand gestures of HeyGen's Avatar 4, while Amith shares behind-the-scenes insights from a recent hackathon focused on building agentic software. The pair also unpack Apple's eyebrow-raising research paper, “The Illusion of Thinking,” and debate whether AI models are truly reasoning—or just pattern-matching very well. Whether you're building AI learning hubs or just wondering when Siri will finally get it together, this episode's for you.

In this week's episode, the Scientific Chair of the 2025 conference, Dr Jacqueline McKechnie offers her reflections on the episode ethical AI in speech pathology, a conversation with Professor Emma Power, from UTS. Emma speaks about the opportunities and considerations that using Generative AI can provide and the ethical considerations that we need to be thinking about. Resources: The Conversation article: theconversation.com/will-ai-tech-li…sability-196481 Speak Up: Ethical AI in Speech Pathology Part 2: https://learninghub.speechpathologyaustralia.org.au/topclass/topclass.do?expand-OfferingDetails-Offeringid=450861 Australia's AI Ethics Principles: https://www.industry.gov.au/publications/australias-artificial-intelligence-ethics-principles/australias-ai-ethics-principles Australian Government 10 guardrails: https://www.industry.gov.au/publications/voluntary-ai-safety-standard/10-guardrails Otter AI (meeting note taker): get.otter.ai/otter_ai_chat/?utm…AAYASAAEgIpuPD_BwE Chat GPT: chat.openai.com/ HeyGen: www.heygen.com/?sid=rewardful&vi…AYASAAEgLiE_D_BwE Yoodli AI speech coach: www.youtube.com/@yoodli/videos The Bletchley Declaration: www.industry.gov.au/publications/bl…2-november-2023 WHO Global report on AI in health: www.who.int/news/item/28-06-202…-its-design-and-use Digital NSW: www.digital.nsw.gov.au/ Hippocratic AI: https://www.hippocraticai.com/ Speech Pathology Australia acknowledge the Traditional Custodians of lands, seas and waters throughout Australia, and pay respect to Elders past and present. We recognise that the health and social and emotional wellbeing of Aboriginal and Torres Strait Islander peoples are grounded in continued connection to culture, country, language and community and acknowledge that sovereignty was never ceded. Free access to transcripts for podcast episodes are available via the SPA Learning Hub (https://learninghub.speechpathologyaustralia.org.au/), you will need to sign in or create an account. For more information, please see our Bio or for further enquiries, email speakuppodcast@speechpathologyaustralia.org.au Disclaimer: © (2025) The Speech Pathology Association of Australia Limited. All rights reserved. Important Notice, Please read: The views expressed in this presentation and reproduced in these materials are not necessarily the views of, or endorsed by, The Speech Pathology Association of Australia Limited (“the Association”). The Association makes no warranty or representation in relation to the content, currency or accuracy of any of the materials comprised in this recording. The Association expressly disclaims any and all liability (including liability for negligence) in respect of use of these materials and the information contained within them. The Association recommends you seek independent professional advice prior to making any decision involving matters outlined in this recording including in any of the materials referred to or otherwise incorporated into this recording. Except as otherwise stated, copyright and all other intellectual property rights comprised in the presentation and these materials, remain the exclusive property of the Association. Except with the Association's prior written approval you must not, in whole or part, reproduce, modify, adapt, distribute, publish or electronically communicate (including by online means) this recording or any of these materials.

In today's episode, Brock Johnson shares how you can create 100 Instagram Reels with the help of AI tools like ChatGPT, GetMunch, OpusClip, Veo 3, and CapCut. We'll explore how these AI-powered platforms can help you come up with fresh post ideas, automate your content creation process, and significantly boost your Instagram productivity. Brock will  guide you through the steps to efficiently generate Instagram Reel ideas, using AI to speed up the process and ensure you're consistently posting engaging content. If you're looking to increase your output on Instagram without sacrificing quality, this episode provides actionable tips and insights on how to use AI to create Reels faster and smarter. Watch On YouTube So You Can Screenshot all the Prompts!

In this episode, we get into a few different areas we've been working through recently, from campaign performance to org structure to how we're using AI in our day-to-day. We dig into how recent promotions performed across our DTC brands, including Mother's Day and Memorial Day campaigns, and share what we've seen work (and not work) when it comes to bundling, gift-with-purchase offers, and mystery boxes.We also talk through how ecommerce teams are structured inside the brands we work with, including where things can break down between marketing, web, and product.Finally, we get into how AI is being used practically in our workflows, from tools like ChatGPT and ElevenLabs to how we're using HeyGen for localization - what's been useful, what still requires human oversight, and where we're seeing opportunity.If you have a question for the MOperators Hotline, click the link to be in with a chance of it being discussed on the show: https://forms.gle/1W7nKoNK5Zakm1Xv600:00 Introduction03:13 Leveraging AI in Marketing06:06 Campaign Strategies and Branding08:56 Sales Performance Insights11:45 Innovative Promotions and Offers15:00 Structuring E-Commerce Teams17:52 Future Planning and Product Roadmaps40:39 E-commerce Operations and Team Structure44:16 Maximizing Post-Purchase Profitability46:18 AI Integration in E-commerce Workflows54:01 AI's Impact on Customer Experience and Operations01:00:00 Leveraging AI for Marketing and Data Analysis01:15:24 Testing and Insights in E-commerce StrategiesOperators Exclusive Slack: https://join.slack.com/t/9operators/shared_invite/zt-2tdfu426r-TepSHJP~evAyDfR29U2qUw Powered by:Motion.⁠⁠⁠https://motionapp.com/pricing?utm_source=marketing-operators-podcast&utm_medium=paidsponsor&utm_campaign=march-2024-ad-reads⁠⁠⁠https://motionapp.com/creative-trendsPrescient AI.⁠⁠⁠https://www.prescientai.com/operatorsRichpanel.⁠⁠⁠https://www.richpanel.com/?utm_source=MO&utm_medium=podcast&utm_campaign=ytdescAftersell.https://www.aftersell.com/operatorsHaus.http://Haus.io/operatorsSubscribe to the 9 Operators Podcast here:https://www.youtube.com/@Operators9Subscribe to the Finance Operators Podcast here: https://www.youtube.com/@FinanceOperatorsFOPSSign up to the 9 Operators newsletter here: https://9operators.com/

In this episode, Conor and Jaeden explore the cutting-edge video generation technology behind HeyGen's latest AI model. They discuss how this innovation is streamlining business content creation, enabling the production of lifelike digital avatars and user-generated content at scale. From marketing and social media to personal branding, the conversation highlights key use cases and the transformative impact of AI in media. The episode wraps with a conversation on the mindset shifts required to embrace these changes and a spotlight on Conor's AI Mindset Course.Chapters00:00 Introduction to HeyGen's New Model01:46 The Impact of AI on Content Creation04:48 Real-World Applications of AI Avatars07:09 Exploring Features and Use Cases09:59 Innovative Changes in AI MindsetAI Applied YouTube Channel: https://www.youtube.com/@AI-Applied-PodcastTry AI Box: ⁠⁠https://AIBox.ai/⁠⁠Conor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustle/about

Tired of chasing leads and burning out on content? AI expert and multi-7-figure agency founder Billy Sticker reveals how entrepreneurs can grow faster and with less stress using practical AI tools. Discover how to automate lead gen, scale your authority, and free up your time using cutting-edge tech like chatbots, custom GPTs, and voice/video cloning platforms.What You'll Learn: 24/7 Lead Generation with AI — How tools like ChatGPT and CloseBot qualify leads, book appointments, and follow up automatically. Next-Level Content Creation — Create weekly authority-building videos using tools like ElevenLabs and HeyGen. Outcome-First AI Strategy — Why the smartest entrepreneurs focus on business "buckets" and results, not shiny tools. Whether you're raising capital, building investor relationships, or scaling operations, this episode gives you the blueprint to work smarter, not harder, with AI.Timestamps:00:00 Introducing Billy Sticker2:26 From pastor to marketer3:31 Why AI is Facebook 2.06:30 Lead Gen and chatbot technologies19:18 Must-have AI tools21:19 Avoiding misinformation in legal use23:27 Creating content without burning out32:22 Automation tools and time-saving tips36:25 Balancing AI with human touch  37:55 Practical AI implementation tips42:01 Best platforms to use daily45:49 Metrics and KPIs47:03 Personal insights and giving back47:26 Closing thoughts and contact informationVISIT OUR WEBSITEhttps://lifebridgecapital.com/Here are ways you can work with us here at Life Bridge Capital:⚡️START INVESTING TODAY: If you think that real estate syndication may be right for you, contact us today to learn more about our current investment opportunities: https://lifebridgecapital.com/investwithlbc⚡️Watch on YouTube: https://www.youtube.com/@TheRealEstateSyndicationShow

Rong Yan, CTO of HeyGen, joins SlatorPod to recount the company's transformation from a Metaverse-focused startup to leading the emerging field of AI video generation.Rong recounts HeyGen's beginnings and the pivot to its current avatar model, which saw ARR go from zero to USD 1m within six months.Rong attributes HeyGen's success to its emphasis on three key elements: quality, consistency, and controllability. The company's newest model, Avatar IV, enables full-body video generation with natural gestures, synchronized audio, and emotion to speech.While some of the platform's growth has been viral, Rong believes sustained success comes from building something users truly value, with a focus on pushing video quality from 70% to 95%.The platform extends beyond avatars, offering translation, voice cloning, and real-time interactivity. Its dynamic duration feature adjusts translated speech to fit original video timing, preserving realism. Rather than build everything from scratch, HeyGen integrates external models with its own orchestration and user data, optimizing output across languages and contexts.Rong emphasized that HeyGen's long-term vision is not entertainment or Hollywood, but helping everyday professionals, especially marketers and educators, who lack traditional video production skills.Looking ahead, Rong sees video agents, tools that generate complete videos from simple prompts, as the next frontier, driving accessibility and transforming storytelling through AI.

OpenAI just pitched “OpenAI for Countries,” offering democracies a turnkey AI infrastructure while some of the world's richest quietly stockpile bunkers and provisions. We'll dig into billionaire Paul Tudor Jones's revelations about AI as an imminent security threat, and why top insiders are buying land and livestock to ride out the next catastrophe. Plus, a wild theory that Gavin has hatched regarding OpenAI's non-profit designation. Then, we break down the updated Google Gemini Pro 2.5's leap forward in coding… just 15 minutes to a working game prototype…and how this could put game creation in every kid's hands. Plus, Suno's 4.5 music model that finally brings human‑quality vocals, and robots gone wild in Chinese warehouses. AND OpenAI drops 3 billion on Windsurf, HeyGen's avatar model achieving flawless lip sync from any angle, the rise of blazing‑fast open source video engines, UCSD's whole‑body ambulatory robots shaking like nervous toddlers, and even Game of Thrones Muppet mashups with bizarre glitch art. STOCK YOUR PROVISIONS. THE ROBOT CLEANUP CREWS ARE NEXT. #ai #ainews #openai Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/ // Show Links //   Does AI Pose an “Imminent Threat”? Paul Tudor Jones ‘Heard' About It Conference https://x.com/AndrewCurran_/status/1919759495129137572 Terrifying Robot Goes Crazy https://www.reddit.com/r/oddlyterrifying/comments/1kcbkfe/robot_on_hook_went_berserk_all_of_a_sudden/ Cleaner Robots To Pick Up After The Apocalypse https://x.com/kimmonismus/status/1919510163112779777 https://x.com/loki_robotics/status/1919325768984715652 OpenAI For Countries https://openai.com/global-affairs/openai-for-countries/ OpenAI Goes Non-Profit For Real This Time https://openai.com/index/evolving-our-structure/ New Google Gemini 2.5 Pro Model https://blog.google/products/gemini/gemini-2-5-pro-updates/ Demis Hassabis on the coding upgrade (good video of drawing an app) https://x.com/demishassabis/status/1919779362980692364 New Minecraft Bench looks good https://x.com/adonis_singh/status/1919864163137957915 Gavin's Bear Jumping Game (in Gemini Window) https://gemini.google.com/app/d0b6762f2786d8d2 OpenAI Buys Windsurf https://www.reuters.com/business/openai-agrees-buy-windsurf-about-3-billion-bloomberg-news-reports-2025-05-06/ Suno v4.5 https://x.com/SunoMusic/status/1917979468699931113 HeyGen Avatar v4 https://x.com/joshua_xu_/status/1919844622135627858 Voice Mirroring https://x.com/EHuanglu/status/1919696421625987220 New OpenSource Video Model From LTX https://x.com/LTXStudio/status/1919751150888239374 Using Runway References with 3D Models https://x.com/runwayml/status/1919376580922552753 Amo Introduces Whole Body Movements To Robotics (and looks a bit shaky rn) https://x.com/TheHumanoidHub/status/1919833230368235967 https://x.com/xuxin_cheng/status/1919722367817023779 Realistic Street Fighter Continue Screens https://x.com/StutteringCraig/status/1918372417615085804 Wandering Worlds - Runway Gen48 Finalist https://runwayml.com/gen48?film=wandering-woods Centaur Skipping Rope https://x.com/CaptainHaHaa/status/1919377295137005586 The Met Gala for Aliens https://x.com/AIForHumansShow/status/1919566617031393608 The Met Gala for Nathan Fielder & Sully https://x.com/AIForHumansShow/status/1919600216870637996 Loosening of Sora Rules https://x.com/AIForHumansShow/status/1919956025244860864  

Florian and Esther discuss the language industry news of the week, with DeepL becoming the first third-party translation app users can set as default on the iPhone, a position gained by navigating Apple's developer requirements that others like Google Translate have yet to meet.Florian and Esther examine RWS's mid-year trading update, which triggered a steep 40% share price drop despite stable revenue, healthy profits, and manageable debt.On the partnerships front, the duo covers multiple collaborations: Acclaro and Phrase co-funded a new Solutions Architect role, Unbabel entered a strategic partnership with Acclaro, and Phrase partnered with Clearly Local in Shanghai. Also, KUDO expanded its network with new partners, while Deepdub was featured in an AWS case study for its work with Paramount. Wistia partnered with HeyGen to launch translation and AI-dubbing features and Synthesia joined forces with DeepL, further cementing the trend of avatar-based multilingual video content.In Esther's M&A corner, MotionPoint acquired GetGloby to enhance multilingual marketing capabilities, while OXO and Powerling merged to form a transatlantic LSP leader. TransPerfect deepened its media footprint with two studio acquisitions from Technicolor, and Magna Legal Services continued its acquisition spree with Basye Santiago Reporting.Meanwhile, in funding, Linguana, an AI dubbing startup targeted at YouTube creators, raised USD 8.5m, and pyannoteAI secured EUR 8m to enhance multilingual voice tech using speaker diarization. The episode concluded with speculation about DeepL's rumored IPO, which could have broader implications for capital markets.

Episode 56: Is it possible to build a thriving content strategy—without ever stepping in front of a camera? Matt Wolfe (https://x.com/mreflow) is joined by guest Adam Biddlecombe (https://www.linkedin.com/in/adam-bidd/), founder of Mindstream, the daily AI newsletter now owned by HubSpot. Adam has rapidly grown his audience (especially on LinkedIn) while openly hating making videos. His solution? Becoming an expert in AI avatar tools to handle his video content creation. In this episode, Matt and Adam dive deep into the world of AI avatars: the tools, the workflow, the best approaches for maximizing quality, and how these avatars are powering everything from viral Instagram channels to hyper-personalized B2B outreach. Whether you're camera-shy, looking to scale your personal brand, or curious about the ethical and business implications of AI-driven video, this is the ultimate guide to the current landscape (and what's coming next) for AI videos—straight from the creators who use them every day. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Name Changes and Synthesia's Evolution (05:30) Testing Avatar Models: Heygen Analysis (09:17) Instagram Enhances AI for Age Detection (10:59) Video Recording Challenges (14:53) AI Influencers: Expanding Industry Trends (18:54) Personalized AI Videos Boost Retention (19:43) AI-Driven Email Personalization Trends (25:19) Scamming Risks in Voice Tech (28:02) UGC Avatars for Advertising Innovation (32:13) Create Your Own Brand Mascot (33:03) Brand-Interactive Avatars Revolution (38:59) Enhancing Efficiency with Proficient Editors (40:40) Challenges in Avatar Creation (42:56) Microphone Usage Guidelines — Mentions: Want to Create your own AI Avatars? Get the guide here: https://clickhubspot.com/aft Adam Biddlecombe: https://www.linkedin.com/in/adam-bidd/ Mindstream: https://www.mindstream.news/ Synthesia: https://www.synthesia.io/ HeyGen: https://www.heygen.com/ Clay: https://www.clay.com/ Wonder Studio: https://wonderdynamics.com/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Victor Lazarte is a General Partner @ Benchmark, one of the mot renowned venture firms in the world. At Benchmark, Victor has led deals into the likes of HeyGen and Mercor. As an angel, he was the first investor and board member of Brex, and as a Founder he scaled Wildlife Studios, bootstrapping into the largest gaming company in LatAm, with about 4 billion downloads.  In Today's Episode We Discuss: 04:10 Lessons Scaling Wildlife Studios to 4BN Downloads 04:49 Why Predicting the Future is Wrong When Starting a Company 07:11 Three Different Categories of Company in an AI World: Who Wins & Loses? 09:25 Why You Should Always Ask What a Founder Does in Their Free Time? 17:30 Two Traits That All the Best Founders Have? 23:17 Why If You Start a Company in SF You are 1,000x More Likely to be Successful? 35:30 Why Spreadsheet SaaS Investing is Dead 36:10 Why Replacing Humans is the Most Exciting Opportunity in AI 37:02 Why Knowledge Work Will Be Destroyed and What Happens Then? 37:30 Why China is a Stabilising Force for the US 38:59 China vs. US: The AI Race 42:33 Why All Students Today Should Study Computer Science 44:38 Why Portfolio Construction is BS 47:04 What Makes Peter Fenton One of the Best Ever 51:31 Why Duolingo Will Be One of the Most Valuable Companies in the World 01:00:17 Quick Fire Round: Insights and Predictions  

In this episode, recorded at the 2025 Abundance Summit, Joshua Xu dives into HeyGen, the future of AI avatars, and Steve Brown displays a use case for AI clones.   Recorded on March 10th, 2025 Views are my own thoughts; not Financial, Medical, or Legal Advice. Joshua Xu is the co-founder and CEO of HeyGen, an AI-powered video creation platform revolutionizing how businesses produce content by making video production significantly faster, cheaper, and scalable across languages. With a background in software engineering at Meta and Bloomberg LP, Xu brings deep technical expertise to his role, driving HeyGen's rapid growth to over $35 million in annual recurring revenue. A graduate of Duke University with a degree in Electrical Engineering and Computer Science, he's passionate about leveraging AI to democratize high-quality video communication for companies around the world. Steve Brown is a technologist and filmmaker passionate about media and innovation that strengthen human connection and sustainability. With a Physics degree from Stanford, he's founded and sold two tech startups and developed award-winning documentaries. As Chief AI Officer at Abundance360, he builds tools that help people harness AI and exponential tech for creativity and impact. Learn more about HeyGen: https://www.heygen.com/  Learn more about Abundance360: https://bit.ly/ABUNDANCE360  For free access to the Abundance Summit Summary click: https://bit.ly/Diamandisbreakthroughs ____________ I only endorse products and services I personally use. To see what they are,  please support this podcast by checking out our sponsors:  Get started with Fountain Life and become the CEO of your health: https://fountainlife.com/peter/ AI-powered precision diagnosis you NEED for a healthy gut: https://www.viome.com/peter  Get 15% off OneSkin with the code PETER at  https://www.oneskin.co/ #oneskinpod ____________ I send weekly emails with the latest insights and trends on today's and tomorrow's exponential technologies. Stay ahead of the curve, and sign up now:  Blog _____________ Connect With Peter: Twitter Instagram Youtube Moonshots

AI is reshaping the way brands create and test ads, and mobile marketing is at the forefront of this revolution. With AI-generated UGC (aka User Generated Content), creative testing at scale is no longer a challenge—it is an opportunity. Today, I'm joined by Andy to explore how their partnership with HeyGen is unlocking new possibilities for mobile advertisers. How is AI changing the game, and what does this mean for the future of creative? Let's find out. Today's Topics Include: Andy Willers' bio About Favoured Challenges Favoured faced before integrating AI-generated UGC What impact AI UGC had on one of the campaigns Favoured was running Biggest opportunities and risks for brands scaling creative testing with AI-generated content Android or iOS? Leaving his  smartphone at home, what features would Andy miss most? What features he would like to see added to his smartphone? Links and Resources: Andy Willers on LinkedIn Favoured website HeyGen - AI video generator Business Of Apps - connecting the app industry Quotes from Andy Willers " What AI has allowed us to do, particularly on the UGC side, is massively increase our capability for creative testing,” Andy said. “HeyGen's digital avatars enable us to quickly generate multiple UGC scripts or executions—allowing us to test different messaging and ad styles at scale.." "We're not at a stage where you type in a prompt and AI spits out a perfect execution. The human touch is still essential,” he explained. “HeyGen gives us the raw material—high-quality AI avatars—but it still requires skilled video editors to integrate them effectively with B-roll footage and visual elements." Host Business Of Apps - connecting the app industry since 2012

I sat down with podcast regular Sam Thompson (https://x.com/ImSamThompson), and we talked about how he's planning to launch an AI-powered recipe app using no-code tools and Facebook ads. We discussed his idea to become a free proposal consultant to get into the wedding business. He also shared his views on the importance of understanding business math like CAC and cash conversion cycle. We also touched on using affiliate marketing to generate revenue with a lead magnet created with ChatGPT and promoted using ads, and using tools like Creative OS and HeyGen to make ad creatives and videos.This is part 1 of a two-part conversation with Sam. Be sure to tune in next week for part 2.Timestamps below. Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkLearn about my company: http://tkopod.co/p-cofFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---00:00 Introduction and Initial Thoughts on AI and Apps00:49 Wedding Planning Business Strategy02:29 Personal Reflections and Technology Evolution04:15 Exploring No-Code App Development05:42 Recipe App Concept and Monetization07:52 Marketing Strategies and Business Models14:11 Collaborations and Future Plans16:07 Cold Audience Strategies16:40 The Power of Facebook Ads17:19 Optimizing Ad Campaigns22:33 Affiliate Marketing Tactics29:17 AI in Marketing30:00 Viral Marketing Case Studies32:35 Conclusion and Next Steps

In this episode of Create Like the Greats, instead of breaking down top SaaS and business strategies, Ross is going tactical—real tactical. You're getting 100 practical content marketing tips, tools, and strategies that you can implement starting today. This is an episode to bookmark, return to, and share with your team. Whether you're a beginner or an expert, these insights will help you level up your content game. Key Takeaways & Topics Covered Develop a Content Marketing Strategy Set clear goals, audience personas, and distribution plans. Review and adjust your strategy quarterly. Align your strategy with your organization's goals to maintain focus. Leverage AI to Streamline Content Creation  Use tools like Frase, ContentShake (SEMrush), and Jasper for SEO research and content optimization. Automate SERP analysis and keyword research. Utilize Distribution.ai and HubSpot for content distribution. Quality Over Quantity  Stand out with highly unscalable content—create work that AI can't easily replicate. Seth Godin's wisdom: "Remarkable content is content worth making a remark about." Challenge your team—how can this content be even better? Optimize for Generative Engine Optimization (GEO)  Prepare for the era of AI-driven search, voice assistants, and chat-based search engines. Learn about GEO best practices in this article on Foundation Inc. The Double-E-E-A-T Strategy  Experience, Expertise, Authority, and Trustworthiness (E-E-A-T). Ground content in your unique expertise—not just rehashed insights. Share real-world examples and case studies. Repurpose and Distribute Your Content Adopt a Create Once, Distribute Forever mindset. Reuse past high-performing content across channels. Study Disney's content repurposing for inspiration. Use Video to Build Trust Video is the last frontier of AI—people trust authentic video more than AI-generated text. Leverage tools like Loom, Descript, and HeyGen. Check out Cut30 for short-form video best practices. Content Personalization & Engagement  AI-powered personalization through tools like Singulate and HubSpot. Engage consistently on social media—don't just post and ghost. Build email lists to avoid reliance on social media platforms. SEO is Still Alive—Ignore the Naysayers  Despite what some say, Google isn't going anywhere anytime soon. SEO techniques still apply to AI-driven search models like ChatGPT and Perplexity. Implement pillar content and topic clusters to thrive in 2030 and beyond. Optimize for Mobile & User Experience Ensure content loads fast and is mobile-friendly. Avoid complex UI—users prioritize simplicity and ease of navigation. Resources & Tools Mentioned

In this solo episode of the podcast, I address some recent questions I've gotten specifically about A.I. in CS. A few tangents are included as per usual:Chapters:00:00 - Intro02:42 - When is your program ready for A.I.?04:10 - Data readiness for installing A.I.08:14 - Using AI for content generation 11:05 - Staying current or getting up to speed on A.I. 13:25 - Ticket deflection with A.I.16:00 - Utilizing A.I. in establishing integrations and configurations17:03 - A.I. Chatbots18:03 - Google's NotebookLM use cases20:35 - What to watch out for in adopting A.I.23:10 - Start with the Simple Things!Enjoy! I know I sure did...Special shoutouts in this episode go out to Ariglad, Clueso, HeyGen, QueryPal and Vitally! Thank you to our sponsor, QueryPal!QueryPal is an incredible platform for support leaders who want to optimize their operations! Support the show+++++++++++++++++Like/Subscribe/Review:If you are getting value from the show, please follow/subscribe so that you don't miss an episode and consider leaving us a review. Website:For more information about the show or to get in touch, visit DigitalCustomerSuccess.com. Buy Alex a Cup of Coffee:This show runs exclusively on caffeine - and lots of it. If you like what we're, consider supporting our habit by buying us a cup of coffee: https://bmc.link/dcspThank you for all of your support!The Digital Customer Success Podcast is hosted by Alex Turkovic

Send Everyday AI and Jordan a text messageWhat AI tools or features should your company be using in 2025? We'll save you like 254 hours by telling you the Top AI Features and Tools of 2024. (And ranking the ones that are most useful for your biz.)  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. Top AI Tools and Features Discussion2. AI Tools of the Year & Rankings3. In-depth Discussion of Specific Tools4. AI Industry OverviewTimestamps:00:00 Network with tech professionals; explore AI tools.10:16 Share show for AI tools honorable mention.12:32 Siri uses ChatGPT for complex queries.18:09 Inline AI enhances collaborative document editing efficiently.23:23 ChatGPT search tool flawed after limited beta.31:06 Cursor went viral as first user-friendly AI.34:52 Google excelled with Gemini 2.0 updates.37:56 Google deep research: fast, comprehensive answers engine.46:17 Use Microsoft 365 Copilot Studio for automation.50:03 Microsoft Copilot Vision simplifies travel bookings. Limited.55:32 Iterative prompting guides advanced language models.01:02:47 Gemini app enables video and voice interaction.01:07:42 Google's Veo AI video tool released, concerns remain.01:13:52 Notebook LM prioritizes trust and transparency in AI.01:15:49 Top AI tools and features 2024 list.Keywords:Jordan Wilson, live stream, AI tools ranking, people's choice award, Midjourney v6.1, Microsoft Copilot Studio, Copilot Vision, Notebook LM, Sora, Veo 2, Zapier Agents, AI tool tiers, podcast, AI developments, generative AI, AI tool selection, AI tool ratings, AI 2024, audience participation, Claude's Artifacts, Claude Computer Use, Cursor AI, 11 Labs conversational agents, Google Gemini 2.0, Google Deep Research, HeyGen's new v3 avatars, AI in documents, Canva's Magic Studio, Chat GPT's new search, OpenAI's 01 Pro. Ready for ROI on GenAI? Go to youreverydayai.com/partner

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

Ep 291 How can AI revolutionize content creation by 2025? Kieran dives into the essential AI tools that will define the future landscape of digital marketing and content creation. Learn more about leveraging AI for email optimization and tailored audience engagement, the significance of personality-led content amid advancing AI, and which AI tools like Delphi, and HeyGen will be indispensable for video content creation and professional image generation in 2025. Mentions Delphi https://www.delphi.ai/ HeyGen https://www.heygen.com/ Argil https://www.argil.ai/ Opus https://www.opus.pro/ Replit https://replit.com/ NotebookLM https://notebooklm.google/ Napkin https://www.napkin.ai/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Produced by Darren Clarke.

Send Everyday AI and Jordan a text messageJust in the past 3 weeks, we've seen enough AI releases for like 3 years. But what AI features and tech tools are actually worth using? We recap and rank the top AI features and tools of 2024. 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. Top AI Tools and Features Discussion2. AI Tools of the Year & Rankings3. In-depth Discussion of Specific Tools4. AI Industry OverviewTimestamps:00:00 Network with tech professionals; explore AI tools.10:16 Share show for AI tools honorable mention.12:32 Siri uses ChatGPT for complex queries.18:09 Inline AI enhances collaborative document editing efficiently.23:23 ChatGPT search tool flawed after limited beta.31:06 Cursor went viral as first user-friendly AI.34:52 Google excelled with Gemini 2.0 updates.37:56 Google deep research: fast, comprehensive answers engine.46:17 Use Microsoft 365 Copilot Studio for automation.50:03 Microsoft Copilot Vision simplifies travel bookings. Limited.55:32 Iterative prompting guides advanced language models.01:02:47 Gemini app enables video and voice interaction.01:07:42 Google's Veo AI video tool released, concerns remain.01:13:52 Notebook LM prioritizes trust and transparency in AI.01:15:49 Top AI tools and features 2024 list.Keywords:Jordan Wilson, live stream, AI tools ranking, people's choice award, Midjourney v6.1, Microsoft Copilot Studio, Copilot Vision, Notebook LM, Sora, Veo 2, Zapier Agents, AI tool tiers, podcast, AI developments, generative AI, AI tool selection, AI tool ratings, AI 2024, audience participation, Claude's Artifacts, Claude Computer Use, Cursor AI, 11 Labs conversational agents, Google Gemini 2.0, Google Deep Research, HeyGen's new v3 avatars, AI in documents, Canva's Magic Studio, Chat GPT's new search, OpenAI's 01 Pro. 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/

Hey Rainmakers! Chelsey and Stephen here, and today we're pulling back the curtain on AI tools that are transforming the way we work. From streamlining our daily tasks to enhancing productivity, these tools are game-changers for any entrepreneur. Whether you're a tech enthusiast or totally new to AI, this episode is packed with practical tips and resources to integrate AI into your own business. In this episode, we focus on our top five AI tools, kicking things off with the one everyone's heard about – ChatGPT. Stephen explains how ChatGPT has replaced Google for him, not just for finding information but for summarizing data, generating story ideas for their kids, and even helping with trip planning! Chelsey admits she's slower to adopt new tech, but Stephen's approach makes it easier to dive in and start using these tools. Next, Stephen shares two AI tools specifically for content creators: Captions and HeyGen. Captions helps with adding subtitles to videos but also introduces AI-generated user models for social media, saving time on ad production. HeyGen goes a step further, letting users create a digital likeness of themselves to generate videos for different audiences or languages. Chelsey finds it fascinating and a little wild, but it's perfect for businesses looking to test video content before going all in. We wrap up with tools like Delphi and Chatbase, which streamline customer support and knowledge sharing. Delphi creates an interactive AI model that can answer questions as if it's you, based on your own resources and knowledge. Chatbase offers a similar function, embedding an AI assistant on your website to provide real-time support. As Stephen explains, these tools are part of a rapidly evolving landscape that's all about enhancing productivity and scaling effectively. So, tune in, take notes, and start thinking about how you could use AI to give your business that extra edge. Even if you're just getting started, there's something here for everyone!   Connect with us: ► Rainmaker Instagram: @therainmakerfamily   ► Chelsey Instagram: @chels_diaz   ► Stephen Instagram: @steezdiaz    ► TikTok: @therainmakerfamily   ► Facebook: @diazfamilylegacy   ► Website: @https://therainmakerfamily.com   Join Our Next Rainmaker Challenge - How To Make Passive Income From Home: https://therainmakerchallenge.com Save On Our Favorite Things: https://rainmakerfamily.com/deals Watch The Million Dollar Mama Case Study: https://www.makeitrainmomma.com/cases...   Episode Minute by Minute:  0:00 - Introduction to AI in Business 1:10 - ChatGPT: Replacing Google 7:00 - Content Creation with Captions 10:30 - HeyGen for Video AI Models 18:00 - Delphi: AI Customer Support 30:00 - Chatbase: Embedded AI Assistance

Hey Rainmakers! Chelsey and Stephen here, and today we're pulling back the curtain on AI tools that are transforming the way we work. From streamlining our daily tasks to enhancing productivity, these tools are game-changers for any entrepreneur. Whether you're a tech enthusiast or totally new to AI, this episode is packed with practical tips and resources to integrate AI into your own business. In this episode, we focus on our top five AI tools, kicking things off with the one everyone's heard about – ChatGPT. Stephen explains how ChatGPT has replaced Google for him, not just for finding information but for summarizing data, generating story ideas for their kids, and even helping with trip planning! Chelsey admits she's slower to adopt new tech, but Stephen's approach makes it easier to dive in and start using these tools. Next, Stephen shares two AI tools specifically for content creators: Captions and HeyGen. Captions helps with adding subtitles to videos but also introduces AI-generated user models for social media, saving time on ad production. HeyGen goes a step further, letting users create a digital likeness of themselves to generate videos for different audiences or languages. Chelsey finds it fascinating and a little wild, but it's perfect for businesses looking to test video content before going all in. We wrap up with tools like Delphi and Chatbase, which streamline customer support and knowledge sharing. Delphi creates an interactive AI model that can answer questions as if it's you, based on your own resources and knowledge. Chatbase offers a similar function, embedding an AI assistant on your website to provide real-time support. As Stephen explains, these tools are part of a rapidly evolving landscape that's all about enhancing productivity and scaling effectively. So, tune in, take notes, and start thinking about how you could use AI to give your business that extra edge. Even if you're just getting started, there's something here for everyone!   Connect with us: ► Rainmaker Instagram: @therainmakerfamily ► Chelsey Instagram: @chels_diaz   ► Stephen Instagram: @steezdiaz    ► TikTok: @therainmakerfamily   ► Facebook: @diazfamilylegacy   ► Website: @https://therainmakerfamily.com   Join Our Next Rainmaker Challenge - How To Make Passive Income From Home: https://therainmakerchallenge.com Save On Our Favorite Things: https://rainmakerfamily.com/deals Watch The Million Dollar Mama Case Study: https://www.makeitrainmomma.com/cases...   Episode Minute by Minute:  0:00 - Introduction to AI in Business 1:10 - ChatGPT: Replacing Google 7:00 - Content Creation with Captions 10:30 - HeyGen for Video AI Models 18:00 - Delphi: AI Customer Support 30:00 - Chatbase: Embedded AI Assistance