Podcasts about gpt

Episode 112 - BHEW - 2025-06-09 - Are you human, or a slave to social media shorts and chat GPT! Today we deep dive the future of human thought and the onslaught of shorts addiction - It massive… Disclaimer: Please note that all information and content on the UK Health Radio Network, all its radio broadcasts and podcasts are provided by the authors, producers, presenters and companies themselves and is only intended as additional information to your general knowledge. As a service to our listeners/readers our programs/content are for general information and entertainment only.  The UK Health Radio Network does not recommend, endorse, or object to the views, products or topics expressed or discussed by show hosts or their guests, authors and interviewees.  We suggest you always consult with your own professional – personal, medical, financial or legal advisor. So please do not delay or disregard any professional – personal, medical, financial or legal advice received due to something you have heard or read on the UK Health Radio Network.

Most brands are about to vanish from search. Yours doesn't have to.AI search isn't the future. It's already rewriting the rules.And if you're not adapting -- you're disappearing.What's changing? Who's winning?And why are some brands thriving while others fade into the algorithmic abyss?Chris Andrew, CEO & Co-founder of Scrunch AI, joins us to break it all down.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Search's Impact on Brand VisibilityStrategies for Winning in AI SearchAI Search and Customer Journey ChangesImportance of AI Crawlers in SEOShifting SEO Tactics for AI SearchAI and Third-Party Content InfluenceSmall Brands Competing in AI SearchFuture of All Search as AI SearchTimestamps:00:00 Brands in the age of AI search 02:50 Leveraging AI for Immediate Impact13:16 "Optimizing Content for AI Crawlers"15:55 "Unblocking AI Crawlers Essential"20:24 Rapid AI Developments Challenge Adaptation22:20 Optimizing Content for AI Retrieval24:31 AI Strategies for Online Brand Management28:22 ChatGPT Memory and AI PersonalizationKeywords:AI search, brand optimization, GPT, perplexity, customer journey, enterprise platform, AI crawlers, AI overview, Anthropic, Claude AI assistant, web research, deep research, Google Workspace, Microsoft Copilot, Google Gemini, VO two, AI video generator, text prompts, OpenAI, social network, CEO Sam Altman, AI-powered sharing, AI referral traffic, brand reputation, persona mapping, buyer behavior, ChatGPT, integration, Claude's new features, beta features, content strategy, organic search, content creation, user intent, AI monitoring, third party content, brand perception, intent-based content, personalized content, buyer intent, search behavior, buyer journey, market adaptation, business strategies, AI consumer, content optimization.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

Jaeden and Conor discuss the latest developments in OpenAI, including Sam Altman's recent podcast appearances, the implications of the $100 million offers for AI researchers, and the anticipated features of GPT-5. They also explore the new ChatGPT Record functionality and its potential applications, as well as the findings regarding AI model behavior and safety. The conversation highlights the rapid advancements in AI technology and the ongoing efforts to understand and improve AI systems.AI 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/aboutChapters00:00 Introduction to OpenAI Developments01:35 Sam Altman's Podcast Tour and Insights04:23 The $100 Million Offers and GPT-5 Predictions06:53 ChatGPT Operator and User Experience Enhancements09:58 ChatGPT Record: New Features and Practical Applications12:42 Understanding AI Behavior and Toxicity Control

Nils Nordström, VD och medgrundare till Flax Digital gästar podden Framtidens E-Handel och delar med sig av familjelivets utmaningar, insikter om lycka och mening, samt strategier för att bygga en smidig byrå med fokus på performance marketing, content och AI.7:00 - Sociala medier gör det svårt att se lycka bortom roliga upplevelser i livet.10:13 - Flax Digitals fokus på nära kundkontakt och seniora tjänster istället för storskalig tillväxt.12:01 - Algoritmer förändrar hur Meta och Google optimerar, kreativt innehåll blir viktigare.14:03 - Case: byte från drop-strategi till performance-fokus gav fördubblad spend med bibehållen ROAS.16:07 - Betoning på kontinuerlig creative output och planerad contentproduktion.20:00 - Utmaningar för små varumärken att nå kritisk volym för retargeting och förenklad kampanjstruktur.22:00 - AI och GPT kommer revolutionera e-handel genom att slutföra köp åt användare.30:00 - Vikten av att släppa ego i produkt- och annonsutveckling, marknaden styr vad som fungerar.32:00 - Olika ledarstilar kan lyckas; grundvalar som marginalstruktur avgör strategival.34:00 - Fundamenten är desamma oavsett företagsstorlek; analysera marginaler och anpassa sig över tiden. 39:23 - Använd enkel kampanjstruktur (ASC) för att låta algoritmen lära utan fragmentering42:20 - Viktigt med stabil innehållsproduktionsprocess och granska realtidsdata för insikter48:04 - AI kommer revolutionera B2C genom att automatisera rekommendationer och köp via chatt52:57 - Verktyg visar hur man integrerar datadriven analys i kreativa beslut, inklusive marginalerHär hittar du Nils & Flax:https://www.linkedin.com/in/nilsnordstrom/ https://flaxdigital.se/ Sponsor:https://www.kustom.co/ Följ Björn på LinkedIn:https://www.linkedin.com/in/bjornspenger/ Följ Framtidens E-handel på LinkedIn:https://www.linkedin.com/company/framtidens-e-handel/ Besök vår hemsida, YouTube & Instagram:https://www.framtidensehandel.se/ https://www.instagram.com/framtidens.ehandel/ https://www.youtube.com/channel/UCEYywBFgOr34TN8NtXeL5HQPoddproducent och klippare Michaela Dorch & Videoproducent Fredrik Ankarsköld:https://www.linkedin.com/in/michaela-dorch/ https://www.linkedin.com/in/ankarskold/ Tusen tack för att du lyssnar!Support till showen http://supporter.acast.com/framtidens-e-handel. Hosted on Acast. See acast.com/privacy for more information.

Ep. 337 There's a free tool that can help your brand show up more in AI-powered search results! Kipp dives into the new playbook for winning visibility in ChatGPT, Gemini, Perplexity, and the world of zero-click searches. Learn more on how to build a custom GPT to create AI-optimized content, the unique rules for ranking in AI search engines, and the essential best practices for dominating this next era of search. Mentions Want Kipp's Custom GPT for AI SEO? Get it here: https://clickhubspot.com/prn Perplexity https://www.perplexity.ai/ Claude https://claude.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 Hubspot Media // Produced by Darren Clarke.

OpenAI's Sam Altman is doing a full blown AI media tour and taking no prisoners. GPT-5! Humanoid robotics! Smack talk! The next generation of AI is…maybe almost here?  We unpack Altman's brand-new in-house podcast (and his brother's), confirm the “likely-this-summer” GPT-5 timeline and reveal why Meta is dangling $100 million signing bonuses at OpenAI staff. Plus: the freshly launched “OpenAI Files” site, Altman's latest shot at Elon, and what's real versus propaganda. Then it's model-mania: Midjourney Video goes public, ByteDance's Seedance stuns, Minimax's Hailuo 02 levels up, and yet Veo 3 still rules supreme. We tour Amazon's “fewer-humans” future, Geoffrey Hinton's job-loss warning, Logan Kilpatrick's “AGI is product first” take, and a rapid-fire Robot Watch: 1X's world-model paper, Spirit AI's nimble dancer, and Hexagon's rollerblade-footed speedster. THE ROBOTS ARE ON WHEELS. GPT-5 IS AT THE DOOR. IT'S A GOOD SHOW. Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // OpenAI's Official Podcast with Sam Altman https://youtu.be/DB9mjd-65gw?t=632 Sam Altman on Jack Altman's Podcast https://youtu.be/mZUG0pr5hBo?si=QNv3MGQLWWQcb4Aq Boris Power (Head of OpenAI Research) Tweet https://x.com/BorisMPower/status/1935160882482528446 The OpenAI Files https://www.openaifiles.org/ Google's Logan Kilpatrick on AGI as Product https://x.com/vitrupo/status/1934627428372283548 Midjourney Video is now LIVE https://x.com/midjourney/status/1935377193733079452 Our early MJ Video Tests  https://x.com/AIForHumansShow/status/1935393203731283994 Seedance (New Bytedance AI Video Model) https://seed.bytedance.com/en/seedance Hailuo 2 (MiniMax New Model) https://x.com/Hailuo_AI/status/1935024444285796561 SQUIRREL PHYSICS: https://x.com/madpencil_/status/1935011921792557463 Higgsfield Canvas: a state-of-the-art image editing model https://x.com/higgsfield_ai/status/1935042830520697152 Krea1 - New AI Imaging Model https://www.krea.ai/image?k1intro=true Generating Mickey Mouse & More In Veo-3 https://x.com/omooretweets/status/1934824634442211561 https://x.com/AIForHumansShow/status/1934832911037112492 LA Dentist Commericals with Veo 3 https://x.com/venturetwins/status/1934378332021461106 AI Will Shrink Amazon's Workforce Says Andy Jassy, CEO https://www.cnbc.com/2025/06/17/ai-amazon-workforce-jassy.html Geoffrey Hinton Diary of a CEO Interview https://youtu.be/giT0ytynSqg?si=BKsfioNZScK4TJJV More Microsoft Layoffs Coming https://x.com/BrodyFord_/status/1935405564831342725 25 New Potential AI Jobs (from the NYT) https://www.nytimes.com/2025/06/17/magazine/ai-new-jobs.html 1X Robotics World Model https://x.com/1x_tech/status/1934634700758520053 SpiritAI just dropped their Moz1 humanoid https://x.com/XRoboHub/status/1934860548853944733 Hexagon Humanoid Robot https://x.com/TheHumanoidHub/status/1935126478527807496 Training an AI Video To Make Me Laugh (YT Video) https://youtu.be/fKpUP4dcCLA?si=-tSmsuEhzL-2jdMY  

It's common for consultants to think of AI as a tool to boost efficiency, enhance insights, automate tasks, and improve client deliverables. It can help you scale your processes and routines.But have you also considered that AI can help you scale your thinking?In this episode, Melisa talks with Amanda Long, marketing strategist and custom GPT builder, about how consultants can create private GPTs to capture their intellectual property, streamline delivery, and scale their businesses without adding headcount. We share examples from my own business, including how we built a podcast post-production GPT that now does what used to take a full-time contractor.We also dismantle some common AI myths (you don't need to be tech-savvy or have piles of content to get started) and walk through ways to use custom GPTs to make smarter decisions, faster like a "co-CEO" that keeps your offers, goals, and voice front and center.Timestamps for Key Moments: [05:12] What a Brand Voice GPT is and how it can help solo consultants produce consistent, on-brand content even without a team[10:20] Why you don't need a big content archive to build an effective GPT that mimics your voice and style[14:58] The five key deliverables the Podcast Post-Production GPT produces to streamline weekly episode workflow[19:44] How to use a “Second Brain GPT” to vet ideas, stay aligned to your goals, and make faster decisions as a business owner[26:45] Ways to build GPTs around your repeatable processes, like proposals or client FAQs, to productize your expertise[35:00] Risks to watch for, including privacy pitfalls and hallucinations and how to avoid themTune in to Episode 223 for practical strategies and mindset shifts to help you work smarter, protect your intellectual property, and build a more scalable consulting business without losing your personal touch.Related ResourcesFull Show Notes: https://shownotes.melisaliberman.com/episode-223/Read Chapter 14 in Grow Your Consulting Business: The 14-Step Roadmap to Make Your Independent Consulting Goals a Reality, https://www.amazon.com/dp/B0CSXJBGVBRelated Podcast Episode: Episode 181 - Transforming Into A Boutique Consultancy with Tradewinds Leadership, https://shownotes.melisaliberman.com/episode-181/    Work with Melisa: Apply for a Coaching Exploratory call at https://www.consultmelisa.com   Get Notified When Melisa's Products Launch: https://www.melisaliberman.com/growth-atlas-products Connect with Amanda: https://linkedin.com/in/amandalongsms Want More?Get Melisa's Book: https://www.melisaliberman.com/bookVisit with Melisa's Website: www.melisaliberman.com Follow on LinkedIn: linkedin.com/in/melisa-liberman Get Notified When Melisa's Products Launch: https://www.melisaliberman.com/growth-atlas-products Want help achieving your consulting business goals? Melisa can help. Click here for more on coaching tailored to you as an independent consulting business owner.

Episode Overview In this episode, John Kitchens and Al Stasek are joined by powerhouse leader Kendall Bonner for a real, unfiltered conversation about what drives agent attraction, what keeps agents stuck in place, and how to lead through the noise with clarity, community, and purpose. They explore the deep psychology behind why agents move (and why many don't), the emotional weight of community and leadership, and the critical role AI is already playing in the evolution of agent growth, operational leadership, and personal productivity. If you've ever wrestled with why people stay in toxic environments, what drives true retention, or how to use AI as your thought partner, this is the conversation you've been waiting for. Key Topics Covered The Psychology of Agent Movement Why most agents don't leave their broker—even when they know they should Understanding “inaccurate certainty” and how it keeps people stuck The role of fear, belonging, and unmet expectations in decision-making Leadership, Trust & Clarity in Retention How leadership confirms a decision to move (but rarely initiates it) The difference between pain-driven vs. solution-driven movement Why unmet expectations cause most breakups—in life and business The Power of Community in Brokerage Decisions Why the right environment unlocks personal growth and collaboration What agents are really looking for when they say “support” Why community must be intentional—not just cultural Using AI as a Thought Partner, Not a Shortcut How Kendall uses “Grace,” her custom GPT, to drive leadership growth Why AI works best when it asks one question at a time Leveraging AI to analyze meetings, contracts, operations, and marketing How to use AI for clarity, personal growth, and better decision-making The Future of Real Estate Growth How EXP is embracing AI with tools like Fixer and Huzi Using tech to unlock productivity, not replace people The AI-driven Clarity Report and how to use it to collapse time   Resources Mentioned The Simple Psychology of Real Estate Recruiting (report referenced by Al) AI Powered Real Estate Playbooks (via Huzi) Working Genius by Patrick Lencioni The AI-First Company by Ash Fontana The Advantage by Patrick Lencioni Buy Back Your Time by Dan Martell Fixer.ai and Huzi.ai tools for agents and leaders   If this episode gave you new insight, clarity, or sparked a fire to lead differently, share it with someone who needs to hear it. “AI has the power to make us superhuman… it has supercharged my productivity.” — Kendall Bonner   Connect with Us: Instagram: @johnkitchenscoach LinkedIn: @johnkitchenscoach Facebook: @johnkitchenscoach   If you enjoyed this episode, be sure to subscribe and leave a review. Stay tuned for more insights and strategies from the top minds. See you next time!

Los Labubus parecen peluches, pero en realidad son lujo emocional, adicción coleccionable y caos viral. En este episodio te contamos cómo un duende con dientes afilados conquistó TikTok, generó millones y se volvió objeto de robo. Hablamos del fenómeno detrás de Pop Mart, los blind boxes, la obsesión asiática por lo cute, y por qué los adultos están gastando fortunas en muñecos que ni sabías que existían. ¿Estamos ante una moda más… o ante la nueva forma de consumir todo?

Before you hit that new chat button in ChatGPT, Claude or Gemini....You're already doing it wrong. I've run 200+ live GenAI training sessions and have taught more than 11,000 business pros and this is one of the biggest mistakes. Just blindly hitting that new chat button can end up killing any perceived productivity you think you're getting while using LLMs. Instead, you need to know the 101s of Gemini Gem, GPTs and Projects. This is one AI at Work Wednesdays you can't miss.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Harnessing Custom GPTs for EfficiencyGoogle Gems vs. Custom GPTs ReviewChatGPT Projects: Features & UpdatesClaude Projects Integration & BenefitsEffective AI Chatbot Usage TechniquesLeveraging AI for Business GrowthDeep Research in ChatGPT ProjectsGoogle Apps Integration in GemsTimestamps:00:00 AI Chatbot Efficiency Tips04:12 "Putting AI to Work Wednesdays"08:39 "Optimizing ChatGPT Usage"11:28 Similar Functions, Different Categories15:41 Beyond Basic Folder Structures16:25 ChatGPT Project Update22:01 Email Archive and Albacross Software24:34 Optimize AI with Contextual Data27:49 "Improving Process Through Meta Analysis"30:53 Data File Access Issue33:27 File Handling Bug in New GPT36:12 Continuous Improvement Encouragement41:16 AI Selection Tool Website43:34 Google Ecosystem AI Assistant45:46 "Optimize AI Usage for Projects"Keywords:Custom GPTs, Google's gems, Claude's projects, OpenAI ChatGPT, AI chatbots, Large Language Models, AI systems, Google Workspace, productivity tools, GPT-3.5, GPT-4, AI updates, API actions, reasoning models, ChatGPT projects, AI assistant, file uploads, project management, AI integrations, Google Calendar, Gmail, Google Drive, context window, AI usage, AI-powered insights, Gemini 2.5 pro, Claude Opus, Claude Sonnet, AI consultation, ChatGPT Canvas, Claude artifacts, generative AI, AI strategy partner, AI brainstorming partner.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

On the podcast, I talk with Charlie about why Liquid Glass represents a big opportunity for new and existing apps, Apple's new on-device AI models and their practical limitations, and why the improved App Store Analytics complement rather than replace third-party tools like Appfigures and RevenueCat.Top Takeaways:

AI is increasingly becoming a double-edged sword in the workplace, as highlighted by a recent Microsoft report. While artificial intelligence tools are intended to enhance productivity, they are inadvertently contributing to an "infinite workday," leading to heightened employee burnout. The report reveals alarming trends, such as 40% of workers checking emails by 6 a.m. and a 16% increase in meetings scheduled after 8 p.m. This shift indicates that work is encroaching on personal time, suggesting a need for companies to rethink their time management and workflow strategies to prioritize high-impact tasks over busy work.Amazon's CEO, Andy Jassy, has acknowledged that AI efficiency gains will result in job cuts within the company, reflecting a broader trend of AI adoption across various sectors. Gallup's research shows that AI usage among U.S. employees has nearly doubled, with significant increases among white-collar workers. However, despite the growing integration of AI, concerns about job displacement remain relatively unchanged, with only 15% of employees fearing automation will eliminate their jobs in the near future.The podcast also discusses the transformative impact of autonomous software agents on small to mid-sized businesses, as outlined in PAX 8's report. The findings indicate that a majority of mid-sized enterprises are already deploying AI, with a notable emphasis on the need for organizations to adapt to new operational standards. The report suggests that IT service providers must shift their focus from merely selling AI tools to becoming organizational strategists that help clients redesign workflows and manage time effectively.Finally, the episode touches on the evolving landscape of the technology channel, emphasizing the necessity for vendors and partners to adapt to emerging trends. The shift from product-based selling to outcome-based solutions is becoming essential for survival in a competitive market. As traditional marketing development funds decline, the call for performance-based partnerships is more pressing than ever, urging IT service providers to demonstrate their value and influence in driving client success.  Four things to know today  00:00 Microsoft Warns of ‘Infinite Workday' as AI Blurs Work-Life Boundaries06:19 OpenAI's Defense Deal and MCP Push Signal AI's Transition from Tool to Infrastructure08:58 MiniMax Launches One-Million-Token Open Model, Undercutting Cost of GPT-4 by Orders of Magnitude10:40 Techaisle: Channel Faces Structural Shakeup as Outcome-Based, Risk-Sharing Models Replace Old Playbook  This is the Business of Tech.     Supported by:  https://getnerdio.com/nerdio-manager-for-msp/ All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM FULL SHOW NOTES https://www.microsoftinnovationpodcast.com/698 What happens when a cloud architect dives headfirst into the evolving world of AI and becomes one of the earliest adopters of Microsoft Copilot in Europe? In this episode, Daniel Rohregger shares how he turned early access into real-world impact—running transformative workshops, challenging AI limitations, and building multilingual agents for legacy industries. Whether you're leading digital transformation or just trying to keep up with Copilot's rapid evolution, this conversation is packed with insights that will sharpen your strategy and expand your toolkit.  

Embark on a transformative journey with Hugh Seaton, CEO of The Link, as we traverse the changing landscape of construction technology. Having worked across continents and industries, Hugh brings a wealth of experience to the table, from his early days in Hong Kong and Taiwan to reshaping the construction world. This episode peels back the layers of traditional construction practices to reveal how data-driven specification management and forward-thinking IT strategies are revolutionizing the industry. Armed with a case study from The Link, Hugh illuminates how actionable data can streamline construction processes, moving us beyond the paper-laden methodologies of the 1970s.As we venture further, the conversation turns to the sophistication of AI and its burgeoning role in construction. Language models like GPT-3 are under the spotlight, with the RICE Framework guiding us through crafting precise inquiries to elicit the most relevant information. Within the industry's technological tapestry, we find innovation teams working diligently to integrate new tools and BIM, changing the face of project delivery and embracing the strategic side of IT beyond mere support. Hugh shares how these expert teams are not just adopting but also selectively tailoring software, ensuring that the pace of technological change matches the industry's unique demands.Looking toward the horizon, Hugh and I contemplate a future where learning and technology are inextricably linked within construction. From AI's potential in generative design to the liberation of the workforce from mundane tasks, we discuss an industry on the cusp of a new era. Technology's role in providing real-time, on-the-job training promises to revolutionize how we approach building and design. Join us for an episode that not only reveals the current state of construction technology but also charts a course for its exciting future. Contact the Future Construct Podcast Produced by BIM Designs, Inc! BIM Designs, Inc.: minority-owned, US-based, union-signatory preconstruction technology firm, offering turnkey BIM modeling, laser scanning, coordination management, and other VDC solutions to the AEC industry. Schedule a free consultation: sales@bimdesigns.net. Subscribe to our weekly blog and our Future Construct Podcast Suggest a podcast guest

Shashank Sripada merges institutional rigor with systemic change. After managing $7B+ in assets and advising the White House, he co-founded Gaia to prove decentralized models can scale equitably. Gaia aims to empower anyone—from individual knowledge workers to domain experts—to build, launch, scale, and monetize their own AI agents. Why you should listen Gaia aims to empower anyone—from individual knowledge workers to domain experts—to build, launch, scale, and monetize their own AI agents. Each agent runs as a Gaia “node,” a lightweight, sandboxed runtime powered by technologies like WasmEdge, fine‑tuned open‑source LLMs, embedding models, vector databases, prompt management, a plugin system, and open APIs. This stack can be deployed anywhere (personal devices, cloud, edge), enabling agents that reflect the creator's own style, knowledge, values, and expertise. Unlike closed‑box SaaS solutions (e.g., GPT‑4), Gaia nodes enable deep customization via fine‑tuning, RAG‑enhanced prompts, schema‑enforced outputs, and domain‑specific knowledge embeddings. This reduces hallucinations, cuts costs, and maintains data privacy. Users can build agents that speak and think like them, tailored to specific domains—far beyond generic LLM capabilities—and can interconnect to ingest external tools, memory systems, or APIs seamlessly. Supporting links Stabull Finance Gaia Andy on Twitter  Brave New Coin on Twitter Brave New Coin If you enjoyed the show please subscribe to the Crypto Conversation and give us a 5-star rating and a positive review in whatever podcast app you are using.   This video is brought to you in partnership with Stabull Finance https://stabull.finance, the #stablecoin #DEX on #Ethereum and #Polygon that allows a growing number of fiat-backed stablecoins to be swapped against each other, liquidity pools, and a liquidity mining program. Make your first swap at https://app.stabull.finance or add liquidity at https://app.stabull.finance/pools

Welcome to Episode 44 of The Paranormal Rundown! In this episode we have Jeff join us from Falling Knife Films. Jeff has an extensive background in paranormal investigation and research, including multiple investigations with David. He also has a very creative side, now with a focus on AI generated video. Additionally, Jeff has had some fascinating results using AI as a psychic! Later in the episode we discuss our plans to validate some of this activity, with The Great Psychic Chat GPT Experiment, and how it might actually be possible. We dig deep into AI, Consciousness, Technology, and Science, with side roads that include The Carrington Event, Red Mercury, the Star Wars Program, Autonomous AI, AGI, Wilder Penfield, Quantum Tubules, Tokens in Tokens out, Spirit Manipulation of Technology, Electro-Neuro-Magnetic Pulse, AI Training, GPTs demonic voice, the Turing Test, Doctor GPT, GPT Analyzes Fabio, Bobby Mackey's, Energy Effects on Paranormal Activity, and Beginner's Luck. Oh, and Jeff shares with us an extremely unique (and perhaps a little disturbing) EVP of Chickens. So fire up your favorite AI research assistant, and prepare to step into a future where technology and the paranormal collide! You can find Falling Knife Films on YouTube at https://www.youtube.com/@mysteryfilms and on Reddit at https://www.reddit.com/user/FallingKnifeFilmsYou can find the image of Fabio here: https://imgur.com/a/fabio-by-dog-trap-jnDm1SGIf you have any unique AI experiences or ideas for The Great Psychic Chat GPT Experiment, please email us at feedback@paranormalrundown.comThe Paranormal Rundown is a partnership between the hosts David Griffith, Father Michael Birdsong, and Vic Hermanson.Be sure to check out our partner podcasts:You can find Vic at Trailer Trash Terrors, https://podcasters.spotify.com/pod/show/vic-hermansonYou can find Father Birdsong at https://www.becomingahouseofprayer.com, as well as hear his new podcast Ending the Curse at:https://open.spotify.com/show/5yL7ZAN4wcRKnMPAlalVXW Hosted on Acast. See acast.com/privacy for more information.

Join hosts Jacqueline Smith and Ryan Greigg as they explore how to enhance your energy and reduce stress with the 15 Point Plan. Discover the potential of AI tools like ChatGPT (or just GPT) in managing time and achieving goals. Jacqueline shares her journey of becoming a certified pilot, illustrating the power of commitment and a hobby in reducing stress. Tune in to learn how AI can be a digital assistant while emphasizing the irreplaceable value of human guidance. Don't miss insights on habit stacking, personalized planning, and leveraging technology for personal growth. ---------- Connect with the 15 Point Plan: 15 Point Plan: https://WinMakeGive.com/15-point-plan/ Win Make Give Facebook group: https://www.facebook.com/groups/WinMakeGive Learn more about the co-hosts: Jacqueline Smith: https://www.instagram.com/jacquelinerae_smith/ Ryan Greigg: https://www.instagram.com/ryanparkgreigg/ Book one of our co-hosts for your next event: https://WinMakeGive.com/speakers/ Part of the Win Make Give Podcast Network

As OpenAI's former Head of Research, Bob McGrew witnessed the company's evolution from GPT-3's breakthrough to today's reasoning models. He argues that there are three legs of the stool for AGI—Transformers, scaled pre-training, and reasoning—and that the fundamentals that will shape the next decade-plus are already in place. He thinks 2025 will be defined by reasoning while pre-training hits diminishing returns. Bob discusses why the agent economy will price services at compute costs due to near-infinite supply, fundamentally disrupting industries like law and medicine, and how his children use ChatGPT to spark curiosity and agency. From robotics breakthroughs to managing brilliant researchers, Bob offers a unique perspective on AI's trajectory and where startups can still find defensible opportunities. Hosted by: Stephanie Zhan and Sonya Huang, Sequoia Capital Mentioned in this episode:  Solving Rubik's Cube with a robot hand: OpenAI's original robotics research Computer Use and Operator: Anthropic and OpenAI reasoning breakthroughs that originated with OpenAi researchers Skild and Physical Intelligence: Robotics-oriented companies Bob sees as well-positioned now Distyl: AI company founded by ex-Palintir alums to create enterprise workflows driven by proprietary data Member of the technical staff: Title at OpenAI designed to break down barriers between AI researchers and engineers Howie.ai: Scheduling app that Bob uses

Meta is going straight superintelligent? OpenAI and Google are teaming up? And Microsoft might kill tutorials? The big AI dogs are at it again, making some head-turning moves in the AI space. Don't get left behind. Join us on Mondays for our AI News That Matters segment. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI & Google Cloud PartnershipMeta's $14B AI Superintelligence BetDisney & Universal vs. Midjourney LawsuitApple's AI Translation Across DevicesOpenAI Expands GPT Projects & FeaturesMicrosoft Updates Copilot Vision ToolsAmazon's AI Video Tool for SellersMeta AI App Privacy ControversyTimestamps:00:00 AI Insights: This Week's Headlines04:28 ChatGPT Project Features Update08:42 AI Wednesdays: Updates and Insights11:57 Meta's $14B Superintelligence Investment15:24 Meta's Acquisition of Scale AI17:31 OpenAI Partners with Google Cloud22:41 Apple Translation Integration Delayed26:00 Third-Party AI to Improve Siri30:43 Microsoft Copilot's Quiet Feature Updates33:40 Amazon Enhances AI for Ads37:34 Copyright Lawsuit: Midjourney vs. Studios41:43 OpenAI O3 Pro: Accuracy Over Speed45:54 AI News & Events Week PreviewKeywords:OpenAI, Google Cloud, Meta, superintelligence, Scale AI, $14 billion investment, artificial superintelligence, Midjourney, Disney lawsuit, Universal lawsuit, AI copyright issues, Microsoft Copilot Vision, Copilot AI updates, real-time AI assistance, AI-powered video generator, Amazon video tools, chat GPT projects, GPTs, AI compute, Tensor Processing Units, regulatory scrutiny, AI market competition, OpenAI revenue, O3 Pro model, ChatGPT Pro, AI reasoning models, voice mode, Apple WWDC, AI translation, Edge AI, cloud infrastructure, Meta AI assistant, Apple AI struggles, Siri upgrade, AI legal battle, OpenAI and Google partnership, Meta's AI investment, $10 billion annual revenue, personal data privacy, Meta privacy concerns, AI model updates.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

In this episode of Crazy Wisdom, host Stewart Alsop speaks with Moritz Bierling, community lead at Daylight Computer, about reimagining our relationship to technology through intentional hardware and software design. The conversation traverses the roots of Daylight Computer—born from a desire to mitigate the mental and physiological toll of blue light and digital distraction—into explorations of AI integration, environmental design, open-source ethos, and alternative models for startup funding. Moritz discusses the vision behind Daylight's “Outdoor Computing Club,” a movement to reclaim nature as a workspace, and the broader philosophical inquiry into a “third timeline” that balances techno-optimism and primitivism. You can explore more about the project at daylightcomputer.com and connect through their primary social channels on X (Twitter) and Instagram.Check out this GPT we trained on the conversationTimestamps00:00 – Introduction to Daylight Computer, critique of mainstream tech as a distraction machine, and inspiration from Apple's software limitations.05:00 – Origin story of Daylight, impact of blue light, and how display technology influences wellbeing.10:00 – Exploration of e-ink vs. RLCD, Kindle as a sanctuary, and Anjan's experiments with the Remarkable tablet.15:00 – Development of Solo OS, the role of spaces in digital environments, and distinctions between hardware and software.20:00 – Vision for AI-assisted computing, voice interaction, and creating a context-aware interface.25:00 – Emphasis on environmental design, using devices outdoors, and the evolutionary mismatch of current computing.30:00 – Reflections on solar punk, right relationship with technology, and rejecting accelerationism.35:00 – Introduction of the third timeline, rhizomatic organizational structure, and critique of VC funding models.40:00 – Discussions on alternative economics, open-source dynamics, and long-term sustainability.45:00 – Outdoor Computing Club, future launches, on-device AI, and the ambition to reclaim embodied computing.Key InsightsTechnology as Both Lifeline and HindranceMoritz Bierling frames modern computing as a paradox: it connects us to society and productivity while simultaneously compromising our well-being through overstimulation and poor design. The Daylight Computer aims to resolve this by introducing hardware that reduces digital fatigue and invites outdoor use.Inspiration from E-Ink and Purposeful ToolsThe initial concept for Daylight Computer was inspired by the calm, focused experience of using a Kindle. Its reflective screen and limited functionality helped Anjan, the founder, realize the power of devices built for singular, meaningful purposes rather than general distraction.Designing for Contextual IntentWith the introduction of Sol OS, Daylight enables users to define digital “spaces” aligned with different modes of being—such as waking, deep work, or relaxation. This modular approach supports intentional interaction and reduces the friction of context-switching common in modern OS designs.Respectful Integration of AIRather than chasing full automation, the Daylight team is exploring AI in a measured way. They're developing features like screen-aware AI queries through physical buttons, creating a contextual assistant that enhances cognition without overpowering it or promoting dependency.Alternative Economic ModelsRejecting venture capital and the short-term incentives of traditional tech funding, Daylight pursues a community-backed model similar to Costco's membership. This aligns financial sustainability with shared values, rather than extracting maximum profit.Third Timeline VisionMoritz discusses a conceptual “third timeline”—a balanced future distinct from both primitivism and techno-solutionism. This alternative future integrates technology into life harmoniously, fostering right relationship between humans, nature, and machines.Environmental Computing and Cultural RegenerationDaylight is not just a hardware company but a movement in environmental design. Through initiatives like the Outdoor Computing Club, they aim to restore sunlight as a central influence in human life and work, hinting at a cultural shift toward solar punk aesthetics and embodied digital living.

Únete a nosotros en este emocionante episodio de Serious Sellers Podcast en Español, donde contamos con la presencia de Manu Meneses desde Colombia. Manu nos comparte su valiosa experiencia en la identificación y capacitación de asistentes virtuales para vendedores de Amazon. Exploramos juntos la importancia de tener criterios claros al seleccionar un asistente, ya que cada vendedor tiene un flujo de trabajo único. Hablamos sobre cómo liberar tiempo al delegar tareas permite a los emprendedores enfocarse en actividades de mayor impacto, una estrategia que ha surgido de la necesidad experimentada por los propios vendedores en sus negocios. Además, Manu destaca la importancia de la motivación y las ganas de aprender en los asistentes virtuales, dada la naturaleza dinámica del comercio en línea. También abordamos cómo establecer métodos claros de comunicación y sistemas de medición de desempeño puede marcar la diferencia en el éxito de los asistentes virtuales y empleados. Discutimos el papel de las herramientas tecnológicas, como los modelos de lenguaje GPT, en facilitar el trabajo de los asistentes, permitiendo a los emprendedores centrarse en aspectos estratégicos como la rentabilidad y el desarrollo de nuevos productos. Manu y nosotros resaltamos la importancia de trabajar en el negocio en lugar de solo en el negocio, y cómo plataformas como Reval Apps capacitan a asistentes remotos para asegurar que estén bien preparados para apoyar a los vendedores en el ámbito del e-commerce. Acompáñanos en esta enriquecedora conversación que te inspirará a optimizar y hacer crecer tu negocio en línea. En el episodio #176 de Serious Sellers Podcast en Español, platicamos de: 00:00 - Búsqueda De Talento en Amazon 08:39 - Medición De Desempeño en Amazon 13:44 - Herramientas Y Asistentes en Tecnología 24:51 - Desarrollo De Talento en E-Commerce

durée : 00:02:22 - Le vrai ou faux - Dix-huit groupes d'utilisateurs de Chat GPT qui ont essayé d'utiliser cette IA dans un but malveillant depuis le début de l'année ont été désactivés par Open AI.

In this episode of Beyond the Code, I'm joined once again by Justin Wales, Head of Legal for the Americas at Crypto.com and author of the Crypto Legal Handbook — now in its newly released second edition.Justin and I dive into:The real-world impact of the SEC's changing posture on crypto enforcement;Why version 2 of the Crypto Legal Handbook is more than just a light update — and how it was rewritten to reflect today's evolving landscape;Crypto.com's legal journey through Wells notices, proactive litigation, and ultimately a no-action letter;How the shift in administration is restoring confidence and innovation to the U.S. crypto ecosystem;The tension between traditional finance and crypto-native companies;Big Law, legal rankings, and why the current system of legal prestige is broken;And a candid take on what excites Justin about the future — including AI x crypto, real product innovation, and global regulatory convergence.We also plug some amazing legal tools like Justin's AI-powered GPT search tool for the Crypto Legal Handbook and Crystal, the AI platform purpose-built for crypto lawyers.Whether you're in-house, in practice, or just trying to understand the regulatory momentum in crypto today, this episode is essential listening.

Cop Our New Merch: https://bit.ly/StaydelusionalmerchGet a discount & 4 months free on NordVPN's 2 year plan https://nordvpn.com/calumjohnsonReady to see how Square can transform your business? Visit https://square.com/go/calumjohnson to learn more

Hilary Gridley is the Head of Core Product at WHOOP and a passionate thought leader in leveraging AI to elevate product teams and management practices. With extensive experience tackling challenging problems in regulated industries and high-stakes environments, Hilary emphasizes the importance of building resilience and adaptability within teams. Previously, she was a senior director of product at Big Health and a senior product marketing manager at Dropbox.In this episode, you'll learn:• How to teach your team to be able to “take a punch”• Specific tactics to counter negative perceptions and reframe setbacks productively• Powerful behavioral strategies to form positive habits• Practical approaches for creating space in your workday to encourage creativity and deep thinking• The underestimated potential of AI in accelerating your personal and professional growth• Why you're not the protagonist at your company (and why that's liberating)• How WHOOP uses reward loops to drive real behavior change—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsPersona—A global leader in digital identity verificationAttio—The powerful, flexible CRM for fast-growing startups—Where to find Hilary Gridley:• X: https://x.com/yourgirlhils• LinkedIn: https://www.linkedin.com/in/hilarygridley/• Newsletter: https://hils.substack.com/• Maven course: https://maven.com/hilary-gridley/ai-powered-people-management—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Hilary's background(04:31) Teaching teams to handle criticism and setbacks(17:57) Behavioral activation and mental health in the workplace(22:59) The importance of putting yourself out there(27:51) Transparency and communication in leadership(38:10) How to respectfully disagree with your manager(41:49) How to use “magic questions” to decode how people think(49:54) Why you're not the protagonist at your company(52:48) Aligning with the CEO's vision(01:01:02) Building effective habits(01:11:14) Promoting team well-being(01:14:28) Creating space for creativity(01:20:45) AI's role in accelerating learning(01:30:35) Pivotal career moments(01:37:21) Lessons from failure(01:39:49) Exciting new features of WHOOP 5.0(01:44:19) Lightning round and final thoughts—Referenced:• How to become a supermanager with AI: https://www.lennysnewsletter.com/p/how-to-become-a-supermanager-with• How custom GPTs can make you a better manager | Hilary Gridley (Head of Core Product at Whoop): https://www.lennysnewsletter.com/p/how-custom-gpts-can-make-you-a-better-manager• WHOOP: https://www.whoop.com/• Big Health: https://www.bighealth.com/• What is behavioral activation?: https://www.medicalnewstoday.com/articles/behavioral-activation• Will Ahmed on LinkedIn: https://www.linkedin.com/in/willahmed/• Joe Gebbia on LinkedIn: https://www.linkedin.com/in/jgebbia/• Zach Abrams on LinkedIn: https://www.linkedin.com/in/zacharyabrams/• Coinbase: https://www.coinbase.com/• Bridge: https://www.bridge.xyz/• Stripe: https://stripe.com/• The paths to power: How to grow your influence and advance your career | Jeffrey Pfeffer (author of 7 Rules of Power, professor at Stanford GSB): https://www.lennysnewsletter.com/p/the-paths-to-power-jeffrey-pfeffer• Paths to Power course: https://jeffreypfeffer.com/wp-content/uploads/2019/10/Pfeffer-OB377-Course-Outline-2018.pdf• VO₂ max: https://en.wikipedia.org/wiki/VO2_max• Peter Attia on X: https://x.com/PeterAttiaMD• Hilary Gridley's 30 days of GPT: https://docs.google.com/spreadsheets/d/1zJ4rbi9YcQuGqGxc6-AQD0-44oT9l4Eyono0AdpgJbA/edit?gid=0#gid=0• The Handle Bar in Boston: https://www.thehandlebarstudios.com/ourstudios/charlestown• From chalkboards to chatbots: Transforming learning in Nigeria, one prompt at a time: https://blogs.worldbank.org/en/education/From-chalkboards-to-chatbots-Transforming-learning-in-Nigeria• Product Management Logic Coach GPT: https://chatgpt.com/g/g-673290301700819084afa36bdbcdfa3b-product-management-logic-coach• Dropbox: https://www.dropbox.com/• WHOOP Advanced Labs: https://www.whoop.com/us/en/waitlist/?srsltid=AfmBOor2pP5qC3n7I23Z0ZIrYE99CjAKT9xSHQxbuyxmz_wFUBGH3e-n• Negative capability: https://en.wikipedia.org/wiki/Negative_capability• John Keats: https://en.wikipedia.org/wiki/John_Keats• The Rehearsal: https://www.hbo.com/the-rehearsal• Zwift: https://www.zwift.com/• Beavis and Butthead Do ‘Creep': https://www.youtube.com/watch?v=zv_gSmH0Ieg• “Sea Grapes” by Derek Walcott: https://www.poetryfoundation.org/poems/57111/sea-grapes• Free month of WHOOP: https://join.whoop.com/us/en/hilary/—Recommended books:• 7 Rules of Power: https://jeffreypfeffer.com/books/7-rules-of-power/• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• East of Eden: https://www.amazon.com/East-Eden-John-Steinbeck-Centennial/dp/0142004235• The Sun Also Rises: https://www.amazon.com/Sun-Also-Rises-Hemingway-Library/dp/1501121960/• Anna Karenina: https://www.amazon.com/Anna-Karenina-Leo-Tolstoy/dp/0143035002—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

Embracing AI in Marketing: Insights from Len Ward, CEO of CommexisIn this episode of The Thoughtful Entrepreneur, host Josh Elledge talks with Len Ward, Founder and CEO of Commexis, about how artificial intelligence is revolutionizing marketing strategies. Len shares how businesses can move beyond traditional marketing models and leverage AI tools—from chatbots to custom GPTs—to streamline decision-making, improve customer experience, and drive meaningful ROI. If you're a business leader looking to future-proof your marketing efforts, this conversation is a strategic roadmap for embracing AI-driven solutions.Why AI Is Changing Everything in MarketingLen kicks off the conversation with a personal reflection on Key West, Florida—a place he describes as laid-back, vibrant, and unlike anywhere else in the U.S. This set the tone for a bigger discussion about adaptability and shifting perspectives, which is exactly what businesses need when thinking about marketing in the AI era.At Commexis, Len helps small and mid-sized companies transition from traditional digital marketing methods to fully integrated AI marketing stacks. These include tools like ChatGPT, Claude, and proprietary systems tailored to streamline operations and optimize campaign strategies. The goal isn't just automation—it's transformation.Len points out that consumer expectations are evolving rapidly. People are accustomed to real-time answers from AI assistants, and they're bringing that same expectation to businesses. Chatbots have become a popular entry point, offering both external customer support and internal operational efficiencies. As AI grows more sophisticated, companies need to start thinking beyond SEO and paid ads and instead create adaptive, intelligent customer experiences.About Len WardLen Ward is the Founder of Commexis and a leading expert in AI-powered business strategy. With a background that spans Wall Street, eCommerce, and performance marketing, Len now helps small and mid-sized companies deploy custom GPTs, AI workflows, and intelligent marketing systems that drive real ROI. He is also the creator of AI Field Notes, a weekly dispatch that explores how AI is quietly transforming how businesses grow, hire, and scale.About CommexisCommexis is a marketing consultancy helping companies build AI-driven systems that improve operations and performance. The firm specializes in custom GPT development, marketing automation, and internal team training. Their signature solution, “Marketing Brain GPT,” combines years of marketing data and insights into a smart, actionable tool businesses can use to optimize strategy and execution.Links Mentioned in This Episode:Commexis WebsiteLen Ward on LinkedInAI Field Notes NewsletterEpisode Highlights:Transitioning to AI Marketing: Why AI stacks are the next evolution in digital marketing strategy.Chatbots as a Starting Point: How businesses can use chatbots to enhance both customer service and internal workflows.Consumer Expectations Are Changing: As more people use AI, they expect the same responsiveness from brands.Rethinking Your Website: The future of websites...

Si ChatGPT no menciona tu marca, literalmente no existes.En este episodio te revelamos cómo los modelos de lenguaje están decidiendo por tus consumidores, las nuevas métricas que debes dominar (como Share of Model), y los pasos exactos para asegurarte de que la IA te vea, te entienda y te recomiende.Además, te contamos por qué si tu estrategia está solo en video, podrías estar completamente fuera del juego.La pregunta no es si la IA sabe quién eres…Es si le importas lo suficiente como para mencionarte.

On today's podcast, Stephanie and Tara talk about Mark Zuckerberg assembling a superintelligence team of the top 50 AI experts, his investment in ScaleAI, and why this raises multiple red flags. Your hosts also discuss predictions of depopulation as a result of AI, and Tara shares the alarming conversations she had with our GPT about both Zuckerberg and Sam Altman and the future of AI. Become a beta tester for our new Unapologetically Outspoken GPT! Use the link here or head over to our website: https://www.thelawofattractiontribe.com/a/2148108179/MpCJCAPZ Want to join the conversation? Connect with Tara and Stephanie on TikTok, X, Rumble, YouTube, Truth Social, Facebook, and IG.https://msha.ke/unapologeticallyoutspoken/   

To Subscribe to DTC Newsletter - https://dtcnews.link/signupIn this episode, Braydon, Senior Content Manager at Pilothouse, dives into how he uses AI to streamline client calls, automate creative workflows, and reclaim time. Below are the standout tactical takeaways:

OpenAI's Sam Altman self-publishes chat GPT's water and energy consumption for the first time, but how can tech companies continue to expand in a more sustainable way? How will RFK Jr's appointment of known anti-vaxers to the CDC panel shape vaccination policy in the US? And are generational labels a problematic myth? Following Israeli strikes on Iran, The Observer's Chloe Hadjimatheou and Jess Winch discuss the latest developments in the Middle East.Then, Jess Winch is joined by award winning journalist and best selling author of Empire of AI Karen Hao; plus, The Observer's Alexi Mostrous and James Tapper, as they battle to pitch the top story of the day.**Join us at the News Meeting Live: LIVE from the Observer Newsroom on Tuesday 17 June - with Zing Tsjeng and NPR's Lauren Frayer LIVE from the Observer Newsroom on Tuesday 29th July - with Charlene White and Kehinde Andrews ** Links to everything mentioned in the episode: Get your copy of Karen's book Empire of AI: Inside the reckless race for total domination HEREWatch Karen's full conversation with Patricia Clarke at the Observer Bookclub live HEREListen to Alexi's podcast series, Dr Anti-Vax HEREFollow us on Social Media: @ObserverUK on X @theobserveruk on Instagram and TikTok@theobserveruk.bsky.social‬ on bluesky Host: Jess Winch, Managing editor at The ObserverProducer: Casey MagloireExecutive Producer: Rebecca MooreTo find out more about The Observer:Subscribe to TheObserver+ on Apple Podcasts for early access and ad-free contentHead to our website observer.co.uk Download the Tortoise app – for a listening experience curated by our journalistsIf you want to get in touch with us directly about a story, or tell us more about the stories you want to hear about contact hello@tortoisemedia.com Hosted on Acast. See acast.com/privacy for more information.

OpenAI's Sam Altman drops o3-Pro & sees “The Gentle Singularity”, Ilya Sutskever prepares for super intelligence & Mark Zuckerberg is spending MEGA bucks on AI talent. WHAT GIVES? All of the major AI companies are not only preparing for AGI but for true “super intelligence” which is on the way, at least according to *them*. What does that mean for us? And how do we exactly prepare for it? Also, Apple's WWDC is a big AI letdown, Eleven Labs' new V3 model is AMAZING, Midjourney got sued and, oh yeah, those weird 1X Robotics androids are back and running through grassy fields. WHAT WILL HAPPEN WHEN AI IS SMARTER THAN US? ACTUALLY, IT PROB ALREADY IS. #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 /?   Ilya Sutsketver's Commencement Speech About AI https://youtu.be/zuZ2zaotrJs?si=U_vHVpFEyTRMWSNa Apple's Cringe Genmoji Video https://x.com/altryne/status/1932127782232076560 OpenAI's Sam Altman On Superintelligence “The Gentle Singularity” https://blog.samaltman.com/the-gentle-singularity The Secret Mathematicians Meeting Where The Tried To Outsmart AI https://www.scientificamerican.com/article/inside-the-secret-meeting-where-mathematicians-struggled-to-outsmart-ai/ O3-Pro Released  https://x.com/sama/status/1932532561080975797 The most expensive o3-Pro Hello https://x.com/Yuchenj_UW/status/1932544842405720540 Eleven Labs v3  https://x.com/elevenlabsio/status/1930689774278570003 o3 regular drops in price by 80% - cheaper than GPT-4o  https://x.com/edwinarbus/status/1932534578469654552 Open weights model taking a ‘little bit more time' https://x.com/sama/status/1932573231199707168 Meta Buys 49% of Scale AI + Alexandr Wang Comes In-House https://www.nytimes.com/2025/06/10/technology/meta-new-ai-lab-superintelligence.html Apple Underwhelms at WWDC Re AI https://www.cnbc.com/2025/06/09/apple-wwdc-underwhelms-on-ai-software-biggest-facelift-in-decade-.html BusinessWeek's Mark Gurman on WWDC https://x.com/markgurman/status/1932145561919991843 Joanna Stern Grills Apple https://youtu.be/NTLk53h7u_k?si=AvnxM9wefXl2Nyjn Midjourney Sued by Disney & Comcast https://www.reuters.com/business/media-telecom/disney-universal-sue-image-creator-midjourney-copyright-infringement-2025-06-11/ 1x Robotic's Redwood https://x.com/1x_tech/status/1932474830840082498 https://www.1x.tech/discover/redwood-ai Redwood Mobility Video https://youtu.be/Dp6sqx9BGZs?si=UC09VxSx-PK77q-- Amazon Testing Humanoid Robots To Deliver Packages https://www.theinformation.com/articles/amazon-prepares-test-humanoid-robots-delivering-packages?rc=c3oojq&shared=736391f5cd5d0123 Autonomous Drone Beats Pilots For the First Time https://x.com/AISafetyMemes/status/1932465150151270644 Random GPT-4o Image Gen Pic https://www.reddit.com/r/ChatGPT/comments/1l7nnnz/what_do_you_get/?share_id=yWRAFxq3IMm9qBYxf-ZqR&utm_content=4&utm_medium=ios_app&utm_name=ioscss&utm_source=share&utm_term=1 https://x.com/AIForHumansShow/status/1932441561843093513 Jon Finger's Shoes to Cars With Luma's Modify Video https://x.com/mrjonfinger/status/1932529584442069392

In this episode of This New Way, Aydin sits down with Sukhpal Saini, founder of Engyne, to dive into how AI is reshaping the way we build products, market them, and even manage our personal networks. Sukhpal shares how he prototypes with AI, automates content creation, and turns conversations into distribution-ready assets. From building 30+ products to launching a Canva app for LinkedIn carousels, this episode is packed with actionable insights. Timestamps:0:00 — Intro: Welcome to This New Way1:30 — The AI curiosity wave and why people are hungry for tactical content4:00 — Suk's journey from IBM, Apple, and Saks to 30+ side projects and Engyne5:45 — The shift from building in Figma to building 5 real prototypes with A8:00 — Using Replit and ChatGPT to get fast, real customer feedback13:00 — How marketers can build lead gen tools without engineering16:30 — Will we have fewer engineers in the future? 19:00 — Demo #1: Nexus — Using AI to query your own network22:00 — Why personal productivity tools no longer require SaaS subscriptions24:50 — Demo #2: A Voice of Customer app to analyze transcripts and shape messaging29:00 — Demo #3: Carousel Studio — Turn your ideas into LinkedIn carousels with a Canva app35:00 — The power of creating from your unique opinion, not AI-generated fluff37:00 — Engyne's vision: Become a mini media machine39:00 — Closing thoughts and future predictions for AI-powered solo businessesTools and Technologies Mentioned:Replit – A browser-based coding environment that lets you write, run, and deploy software quickly. Suk uses it to rapidly prototype multiple product ideas in minutes.ChatGPT – OpenAI's conversational AI model, used to generate code, iterate on features, and assist in product development.Claude – An AI assistant developed by Anthropic, used similarly to ChatGPT for coding and ideation.Prisma – A modern ORM (Object-Relational Mapping) tool for Node.js and TypeScript, used in Suk's Voice of Customer app to manage the database.OpenAI API – The underlying API that powers GPT models like ChatGPT, allowing users to integrate AI functionality into their custom apps.Enjoyed the episode? Subscribe at thisnewway.com

Meta struggles to retain AI talent despite offering substantial salaries, losing experts to companies like OpenAI and Anthropic, which leads with a unique, flexible work culture. Meanwhile, breakthroughs in 3D printing are democratizing robot creation, allowing beginners to build robots for just $500. DeepSeek's GPT-4 level reasoning model can now run on home computers, thanks to advanced quantization techniques. The TikTok's ban continues to be delayed, and a significant AI copyright case unfolds in London, potentially reshaping the industry. Catch all these updates on this episode of 'Hashtag Trending' with host Jim Love. 00:00 Introduction and Overview 00:26 The AI Talent War: Meta vs. Anthropic 03:30 Revolutionizing Robotics with 3D Printing 07:10 GPT-4 Level AI on Home Computers 11:36 Updates on Major Tech Stories 15:07 Conclusion and Support

Pageant prep shouldn't feel like a breakdown waiting to happen. If you're constantly wondering what to work on, bouncing between burnout and motivation, or stuck in a loop of guilt, scattered effort, and lost momentum—you're not the problem. Your strategy is. In this episode, Coach Megan walks you through: ✔ The real reason prep feels overwhelming (hint: it's not a character flaw) ✔ Why decision fatigue kills momentum—and how to fix it ✔ A simple scheduling shift that helps you prep from peace, not panic ✔ The 3 biggest time traps and how to reverse-engineer your calendar ✔ How to stop prepping from pressure and start prepping from purpose You'll also get access to the brand new Powerhouse Pageant Scheduler GPT—a game-changing tool to help you map out your next 6-week sprint based on your real life and energy. Whether you're 12 weeks out or just getting started, this is your invitation to win smarter, not harder.   This episode has a visual whiteboard! Watch the Youtube version here: https://youtu.be/mBEFZ9NDvO4   

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the Apple AI paper and critical lessons for effective prompting, plus a deep dive into reasoning models. You’ll learn what reasoning models are and why they sometimes struggle with complex tasks, especially when dealing with contradictory information. You’ll discover crucial insights about AI’s “stateless” nature, which means every prompt starts fresh and can lead to models getting confused. You’ll gain practical strategies for effective prompting, like starting new chats for different tasks and removing irrelevant information to improve AI output. You’ll understand why treating AI like a focused, smart intern will help you get the best results from your generative AI tools. Tune in to learn how to master your AI interactions! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-how-generative-ai-reasoning-models-work.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, there is so much in the AI world to talk about. One of the things that came out recently that I think is worth discussing, because we can talk about the basics of good prompting as part of it, Katie, is a paper from Apple. Apple’s AI efforts themselves have stalled a bit, showing that reasoning models, when given very complex puzzles—logic-based puzzles or spatial-based puzzles, like moving blocks from stack to stack and getting them in the correct order—hit a wall after a while and then just collapse and can’t do anything. So, the interpretation of the paper is that there are limits to what reasoning models can do and that they can kind of confuse themselves. On LinkedIn and social media and stuff, Christopher S. Penn – 00:52 Of course, people have taken this to the illogical extreme, saying artificial intelligence is stupid, nobody should use it, or artificial general intelligence will never happen. None of that is within the paper. Apple was looking at a very specific, narrow band of reasoning, called deductive reasoning. So what I thought we’d talk about today is the paper itself to a degree—not a ton about it—and then what lessons we can learn from it that will make our own AI practices better. So to start off, when we talk about reasoning, Katie, particularly you as our human expert, what does reasoning mean to the human? Katie Robbert – 01:35 When I think, if you say, “Can you give me a reasonable answer?” or “What is your reason?” Thinking about the different ways that the word is casually thrown around for humans. The way that I think about it is, if you’re looking for a reasonable answer to something, then that means that you are putting the expectation on me that I have done some kind of due diligence and I have gathered some kind of data to then say, “This is the response that I’m going to give you, and here are the justifications as to why.” So I have some sort of a data-backed thinking in terms of why I’ve given you that information. When I think about a reasoning model, Katie Robbert – 02:24 Now, I am not the AI expert on the team, so this is just my, I’ll call it, amateurish understanding of these things. So, a reasoning model, I would imagine, is similar in that you give it a task and it’s, “Okay, I’m going to go ahead and see what I have in my bank of information for this task that you’re asking me about, and then I’m going to do my best to complete the task.” When I hear that there are limitations to reasoning models, I guess my first question for you, Chris, is if these are logic problems—complete this puzzle or unfurl this ball of yarn, kind of a thing, a complex thing that takes some focus. Katie Robbert – 03:13 It’s not that AI can’t do this; computers can do those things. So, I guess what I’m trying to ask is, why can’t these reasoning models do it if computers in general can do those things? Christopher S. Penn – 03:32 So you hit on a really important point. The tasks that are in this reasoning evaluation are deterministic tasks. There’s a right and wrong answer, and what they’re supposed to test is a model’s ability to think through. Can it get to that? So a reasoning model—I think this is a really great opportunity to discuss this. And for those who are listening, this will be available on our YouTube channel. A reasoning model is different from a regular model in that it thinks things through in sort of a first draft. So I’m showing DeepSeq. There’s a button here called DeepThink, which switches models from V3, which is a non-reasoning model, to a reasoning model. So watch what happens. I’m going to type in a very simple question: “Which came first, the chicken or the egg?” Katie Robbert – 04:22 And I like how you think that’s a simple question, but that’s been sort of the perplexing question for as long as humans have existed. Christopher S. Penn – 04:32 And what you see here is this little thinking box. This thinking box is the model attempting to solve the question first in a rough draft. And then, if I had closed up, it would say, “Here is the answer.” So, a reasoning model is essentially—we call it, I call it, a hidden first-draft model—where it tries to do a first draft, evaluates its own first draft, and then produces an answer. That’s really all it is. I mean, yes, there’s some mathematics going on behind the scenes that are probably not of use to folks listening to or watching the podcast. But at its core, this is what a reasoning model does. Christopher S. Penn – 05:11 Now, if I were to take the exact same prompt, start a new chat here, and instead of turning off the deep think, what you will see is that thinking box will no longer appear. It will just try to solve it as is. In OpenAI’s ecosystem—the ChatGPT ecosystem—when you pull down that drop-down of the 82 different models that you have a choice from, there are ones that are called non-reasoning models: GPT4O, GPT4.1. And then there are the reasoning models: 0304 mini, 04 mini high, etc. OpenAI has done a great job of making it as difficult as possible to understand which model you should use. But that’s reasoning versus non-reasoning. Google, very interestingly, has moved all of their models to reasoning. Christopher S. Penn – 05:58 So, no matter what version of Gemini you’re using, it is a reasoning model because Google’s opinion is that it creates a better response. So, Apple was specifically testing reasoning models because in most tests—if I go to one of my favorite websites, ArtificialAnalysis.ai, which sort of does a nice roundup of smart models—you’ll notice that reasoning models are here. And if you want to check this out and you’re listening, ArtificialAnalysis.ai is a great benchmark set that wraps up all the other benchmarks together. You can see that the leaderboards for all the major thinking tests are all reasoning models, because that ability for a model to talk things out by itself—really having a conversation with self—leads to much better results. This applies even for something as simple as a blog post, like, “Hey, let’s write a blog post about B2B marketing.” Christopher S. Penn – 06:49 Using a reasoning model will let the model basically do its own first draft, critique itself, and then produce a better result. So that’s what a reasoning model is, and why they’re so important. Katie Robbert – 07:02 But that didn’t really answer my question, though. I mean, I guess maybe it did. And I think this is where someone like me, who isn’t as technically inclined or isn’t in the weeds with this, is struggling to understand. So I understand what you’re saying in terms of what a reasoning model is. A reasoning model, for all intents and purposes, is basically a model that’s going to talk through its responses. I’ve seen this happen in Google Gemini. When I use it, it’s, “Okay, let me see. You’re asking me to do this. Let me see what I have in the memory banks. Do I have enough information? Let me go ahead and give it a shot to answer the question.” That’s basically the synopsis of what you’re going to get in a reasoning model. Katie Robbert – 07:48 But if computers—forget AI for a second—if calculations in general can solve those logic problems that are yes or no, very black and white, deterministic, as you’re saying, why wouldn’t a reasoning model be able to solve a puzzle that only has one answer? Christopher S. Penn – 08:09 For the same reason they can’t do math, because the type of puzzle they’re doing is a spatial reasoning puzzle which requires—it does have a right answer—but generative AI can’t actually think. It is a probabilistic model that predicts based on patterns it’s seen. It’s a pattern-matching model. It’s the world’s most complex next-word prediction machine. And just like mathematics, predicting, working out a spatial reasoning puzzle is not a word problem. You can’t talk it out. You have to be able to visualize in your head, map it—moving things from stack to stack—and then coming up with the right answers. Humans can do this because we have many different kinds of reasoning: spatial reasoning, musical reasoning, speech reasoning, writing reasoning, deductive and inductive and abductive reasoning. Christopher S. Penn – 09:03 And this particular test was testing two of those kinds of reasoning, one of which models can’t do because it’s saying, “Okay, I want a blender to fry my steak.” No matter how hard you try, that blender is never going to pan-fry a steak like a cast iron pan will. The model simply can’t do it. In the same way, it can’t do math. It tries to predict patterns based on what’s been trained on. But if you’ve come up with a novel test that the model has never seen before and is not in its training data, it cannot—it literally cannot—repeat that task because it is outside the domain of language, which is what it’s predicting on. Christopher S. Penn – 09:42 So it’s a deterministic task, but it’s a deterministic task outside of what the model can actually do and has never seen before. Katie Robbert – 09:50 So then, if I am following correctly—which, I’ll be honest, this is a hard one for me to follow the thread of thinking on—if Apple published a paper that large language models can’t do this theoretically, I mean, perhaps my assumption is incorrect. I would think that the minds at Apple would be smarter than collectively, Chris, you and I, and would know this information—that was the wrong task to match with a reasoning model. Therefore, let’s not publish a paper about it. That’s like saying, “I’m going to publish a headline saying that Katie can’t run a five-minute mile; therefore, she’s going to die tomorrow, she’s out of shape.” No, I can’t run a five-minute mile. That’s a fact. I’m not a runner. I’m not physically built for it. Katie Robbert – 10:45 But now you’re publishing some kind of information about it that’s completely fake and getting people in the running industry all kinds of hyped up about it. It’s irresponsible reporting. So, I guess that’s sort of my other question. If the big minds at Apple, who understand AI better than I ever hope to, know that this is the wrong task paired with the wrong model, why are they getting us all worked up about this thing by publishing a paper on it that sounds like it’s totally incorrect? Christopher S. Penn – 11:21 There are some very cynical hot takes on this, mainly that Apple’s own AI implementation was botched so badly that they look like a bunch of losers. We’ll leave that speculation to the speculators on LinkedIn. Fundamentally, if you read the paper—particularly the abstract—one of the things they were trying to test is, “Is it true?” They did not have proof that models couldn’t do this. Even though, yes, if you know language models, you would know this task is not well suited to it in the same way that they’re really not suited to geography. Ask them what the five nearest cities to Boston are, show them a map. They cannot figure that out in the same way that you and I use actual spatial reasoning. Christopher S. Penn – 12:03 They’re going to use other forms of essentially tokenization and prediction to try and get there. But it’s not the same and it won’t give the same answers that you or I will. It’s one of those areas where, yeah, these models are very sophisticated and have a ton of capabilities that you and I don’t have. But this particular test was on something that they can’t do. That’s asking them to do complex math. They cannot do it because it’s not within the capabilities. Katie Robbert – 12:31 But I guess that’s what I don’t understand. If Apple’s reputation aside, if the data scientists at that company knew—they already knew going in—it seems like a big fat waste of time because you already know the answer. You can position it, however, it’s scientific, it’s a hypothesis. We wanted to prove it wasn’t true. Okay, we know it’s not true. Why publish a paper on it and get people all riled up? If it is a PR play to try to save face, to be, “Well, it’s not our implementation that’s bad, it’s AI in general that’s poorly constructed.” Because I would imagine—again, this is a very naive perspective on it. Katie Robbert – 13:15 I don’t know if Apple was trying to create their own or if they were building on top of an existing model and their implementation and integration didn’t work. Therefore, now they’re trying to crap all over all of the other model makers. It seems like a big fat waste of time. When I—if I was the one who was looking at the budget—I’m, “Why do we publish that paper?” We already knew the answer. That was a waste of time and resources. What are we doing? I’m genuinely, again, maybe naive. I’m genuinely confused by this whole thing as to why it exists in the first place. Christopher S. Penn – 13:53 And we don’t have answers. No one from Apple has given us any. However, what I think is useful here for those of us who are working with AI every day is some of the lessons that we can learn from the paper. Number one: the paper, by the way, did not explain particularly well why it thinks models collapsed. It actually did, I think, a very poor job of that. If you’ve worked with generative AI models—particularly local models, which are models that you run on your computer—you might have a better idea of what happened, that these models just collapsed on these reasoning tasks. And it all comes down to one fundamental thing, which is: every time you have an interaction with an AI model, these models are called stateless. They remember nothing. They remember absolutely nothing. Christopher S. Penn – 14:44 So every time you prompt a model, it’s starting over from scratch. I’ll give you an example. We’ll start here. We’ll say, “What’s the best way to cook a steak?” Very simple question. And it’s going to spit out a bunch of text behind the scenes. And I’m showing my screen here for those who are listening. You can see the actual prompt appearing in the text, and then it is generating lots of answers. I’m going to stop that there just for a moment. And now I’m going to ask the same question: “Which came first, the chicken or the egg?” Christopher S. Penn – 15:34 The history of the steak question is also part of the prompt. So, I’ve changed conversation. You and I, in a chat or a text—group text, whatever—we would just look at the most recent interactions. AI doesn’t do that. It takes into account everything that is in the conversation. So, the reason why these models collapsed on these tasks is because they were trying to solve it. And when they’re thinking aloud, remember that first draft we showed? All of the first draft language becomes part of the next prompt. So if I said to you, Katie, “Let me give you some directions on how to get to my house.” First, you’re gonna take a right, then you take a left, and then you’re gonna go straight for two miles, and take a right, and then. Christopher S. Penn – 16:12 Oh, wait, no—actually, no, there’s a gas station. Left. No, take a left there. No, take a right there, and then go another two miles. If I give you those instructions, which are full of all these back twists and turns and contradictions, you’re, “Dude, I’m not coming over.” Katie Robbert – 16:26 Yeah, I’m not leaving my house for that. Christopher S. Penn – 16:29 Exactly. Katie Robbert – 16:29 Absolutely not. Christopher S. Penn – 16:31 Absolutely. And that’s what happens when these reasoning models try to reason things out. They fill up their chat with so many contradicting answers as they try to solve the problem that on the next turn, guess what? They have to reprocess everything they’ve talked about. And so they just get lost. Because they’re reading the whole conversation every time as though it was a new conversation. They’re, “I don’t know what’s going on.” You said, “Go left,” but they said, “Go right.” And so they get lost. So here’s the key thing to remember when you’re working with any generative AI tool: you want to keep as much relevant stuff in the conversation as possible and remove or eliminate irrelevant stuff. Christopher S. Penn – 17:16 So it’s a really bad idea, for example, to have a chat where you’re saying, “Let’s write a blog post about B2B marketing.” And then say, “Oh, I need to come up with an ideal customer profile.” Because all the stuff that was in the first part about your B2B marketing blog post is now in the conversation about the ICP. And so you’re polluting it with a less relevant piece of text. So, there are a couple rules. Number one: try to keep each chat distinct to a specific task. I’m writing a blog post in the chat. Oh, I want to work on an ICP. Start a new chat. Start a new chat. And two: if you have a tool that allows you to do it, never say, “Forget what I said previously. And do this instead.” It doesn’t work. Instead, delete if you can, the stuff that was wrong so that it’s not in the conversation history anymore. Katie Robbert – 18:05 So, basically, you have to put blinders on your horse to keep it from getting distracted. Christopher S. Penn – 18:09 Exactly. Katie Robbert – 18:13 Why isn’t this more common knowledge in terms of how to use generative AI correctly or a reasoning model versus a non-reasoning model? I mean, again, I look at it from a perspective of someone who’s barely scratching the surface of keeping up with what’s happening, and it feels—I understand when people say it feels overwhelming. I feel like I’m falling behind. I get that because yes, there’s a lot that I can do and teach and educate about generative AI, but when you start to get into this kind of minutiae—if someone opened up their ChatGPT account and said, “Which model should I use?”—I would probably look like a deer in headlights. I’d be, “I don’t know.” I’d probably. Katie Robbert – 19:04 What I would probably do is buy myself some time and start with, “What’s the problem you’re trying to solve? What is it you’re trying to do?” while in the background, I’m Googling for it because I feel this changes so quickly that unless you’re a power user, you have no idea. It tells you at a basic level: “Good for writing, great for quick coding.” But O3 uses advanced reasoning. That doesn’t tell me what I need to know. O4 mini high—by the way, they need to get a brand specialist in there. Great at coding and visual learning. But GPT 4.1 is also great for coding. Christopher S. Penn – 19:56 Yes, of all the major providers, OpenAI is the most incoherent. Katie Robbert – 20:00 It’s making my eye twitch looking at this. And I’m, “I just want the model to interpret the really weird dream I had last night. Which one am I supposed to pick?” Christopher S. Penn – 20:10 Exactly. So, to your answer, why isn’t this more common? It’s because this is the experience almost everybody has with generative AI. What they don’t experience is this: where you’re looking at the underpinnings. You’ve opened up the hood, and you’re looking under the hood and going, “Oh, that’s what’s going on inside.” And because no one except for the nerds have this experience—which is the bare metal looking behind the scenes—you don’t understand the mechanism of why something works. And because of that, you don’t know how to tune it for maximum performance, and you don’t know these relatively straightforward concepts that are hidden because the tech providers, somewhat sensibly, have put away all the complexity that you might want to use to tune it. Christopher S. Penn – 21:06 They just want people to use it and not get overwhelmed by an interface that looks like a 747 cockpit. That oversimplification makes these tools harder to use to get great results out of, because you don’t know when you’re doing something that is running contrary to what the tool can actually do, like saying, “Forget previous instructions, do this now.” Yes, the reasoning models can try and accommodate that, but at the end of the day, it’s still in the chat, it’s still in the memory, which means that every time that you add a new line to the chat, it’s having to reprocess the entire thing. So, I understand from a user experience why they’ve oversimplified it, but they’ve also done an absolutely horrible job of documenting best practices. They’ve also done a horrible job of naming these things. Christopher S. Penn – 21:57 Ironically, of all those model names, O3 is the best model to use. Be, “What about 04? That’s a number higher.” No, it’s not as good. “Let’s use 4.” I saw somebody saying, “GPT 401 is a bigger number than 03.” So 4:1 is a better model. No, it’s not. Katie Robbert – 22:15 But that’s the thing. To someone who isn’t on the OpenAI team, we don’t know that. It’s giving me flashbacks and PTSD from when I used to manage a software development team, which I’ve talked about many times. And one of the unimportant, important arguments we used to have all the time was version numbers. So, every time we released a new version of the product we were building, we would do a version number along with release notes. And the release notes, for those who don’t know, were basically the quick: “Here’s what happened, here’s what’s new in this version.” And I gave them a very clear map of version numbers to use. Every time we do a release, the number would increase by whatever thing, so it would go sequentially. Katie Robbert – 23:11 What ended up happening, unsurprisingly, is that they didn’t listen to me and they released whatever number the software randomly kicked out. Where I was, “Okay, so version 1 is the CD-ROM. Version 2 is the desktop version. Versions 3 and 4 are the online versions that don’t have an additional software component. But yet, within those, okay, so CD-ROM, if it’s version one, okay, update version 1.2, and so on and so forth.” There was a whole reasoning to these number systems, and they were, “Okay, great, so version 0.05697Q.” And I was, “What does that even mean?” And they were, “Oh, well, that’s just what the system spit out.” I’m, “That’s not helpful.” And they weren’t thinking about it from the end user perspective, which is why I was there. Katie Robbert – 24:04 And to them that was a waste of time. They’re, “Oh, well, no one’s ever going to look at those version numbers. Nobody cares. They don’t need to understand them.” But what we’re seeing now is, yeah, people do. Now we need to understand what those model numbers mean. And so to a casual user—really, anyone, quite honestly—a bigger number means a newer model. Therefore, that must be the best one. That’s not an irrational way to be looking at those model numbers. So why are we the ones who are wrong? I’m getting very fired up about this because I’m frustrated, because they’re making it so hard for me to understand as a user. Therefore, I’m frustrated. And they are the ones who are making me feel like I’m falling behind even though I’m not. They’re just making it impossible to understand. Christopher S. Penn – 24:59 Yes. And that, because technical people are making products without consulting a product manager or UI/UX designer—literally anybody who can make a product accessible to the marketplace. A lot of these companies are just releasing bare metal engines and then expecting you to figure out the rest of the car. That’s fundamentally what’s happening. And that’s one of the reasons I think I wanted to talk through this stuff about the Apple paper today on the show. Because once we understand how reasoning models actually work—that they’re doing their own first drafts and the fundamental mechanisms behind the scenes—the reasoning model is not architecturally substantially different from a non-reasoning model. They’re all just word-prediction machines at the end of the day. Christopher S. Penn – 25:46 And so, if we take the four key lessons from this episode, these are the things that will help: delete irrelevant stuff whenever you can. Start over frequently. So, start a new chat frequently, do one task at a time, and then start a new chat. Don’t keep a long-running chat of everything. And there is no such thing as, “Pay no attention to the previous stuff,” because we all know it’s always in the conversation, and the whole thing is always being repeated. So if you follow those basic rules, plus in general, use a reasoning model unless you have a specific reason not to—because they’re generally better, which is what we saw with the ArtificialAnalysis.ai data—those five things will help you get better performance out of any AI tool. Katie Robbert – 26:38 Ironically, I feel the more AI evolves, the more you have to think about your interactions with humans. So, for example, if I’m talking to you, Chris, and I say, “Here are the five things I’m thinking about, but here’s the one thing I want you to focus on.” You’re, “What about the other four things?” Because maybe the other four things are of more interest to you than the one thing. And how often do we see this trope in movies where someone says, “Okay, there’s a guy over there.” “Don’t look. I said, “Don’t look.”” Don’t call attention to it if you don’t want someone to look at the thing. I feel more and more we are just—we need to know how to deal with humans. Katie Robbert – 27:22 Therefore, we can deal with AI because AI being built by humans is becoming easily distracted. So, don’t call attention to the shiny object and say, “Hey, see the shiny object right here? Don’t look at it.” What is the old, telling someone, “Don’t think of purple cows.” Christopher S. Penn – 27:41 Exactly. Katie Robbert – 27:41 And all. Christopher S. Penn – 27:42 You don’t think. Katie Robbert – 27:43 Yeah. That’s all I can think of now. And I’ve totally lost the plot of what you were actually talking about. If you don’t want your AI to be distracted, like you’re human, then don’t distract it. Put the blinders on. Christopher S. Penn – 27:57 Exactly. We say this, we’ve said this in our courses and our livestreams and podcasts and everything. Treat these things like the world’s smartest, most forgetful interns. Katie Robbert – 28:06 You would never easily distract it. Christopher S. Penn – 28:09 Yes. And an intern with ADHD. You would never give an intern 22 tasks at the same time. That’s just a recipe for disaster. You say, “Here’s the one task I want you to do. Here’s all the information you need to do it. I’m not going to give you anything that doesn’t relate to this task.” Go and do this task. And you will have success with the human and you will have success with the machine. Katie Robbert – 28:30 It’s like when I ask you to answer two questions and you only answer one, and I have to go back and re-ask the first question. It’s very much like dealing with people. In order to get good results, you have to meet the person where they are. So, if you’re getting frustrated with the other person, you need to look at what you’re doing and saying, “Am I overcomplicating it? Am I giving them more than they can handle?” And the same is true of machines. I think our expectation of what machines can do is wildly overestimated at this stage. Christopher S. Penn – 29:03 It definitely is. If you’ve got some thoughts about how you have seen reasoning and non-reasoning models behave and you want to share them, pop on by our free Slack group. Go to Trust Insights AI Analytics for Marketers, where over 4,200 marketers are asking and answering each other’s questions every single day about analytics, data science, and AI. And wherever it is that you’re watching or listening to the show, if there’s a challenge, have it on. Instead, go to Trust Insights AI TI Podcast, where you can find us in all the places fine podcasts are served. Thanks for tuning in and we’ll talk to you on the next one. Katie Robbert – 29:39 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 30:32 Trust Insights also offers expert guidance on social media analytics, marketing technology, and Martech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMOs or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights Podcast, the Inbox Insights newsletter, the “So What?” Livestream webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Katie Robbert – 31:37 Data storytelling. This commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

How has the history of AI been shaped by the "bitter lesson" that simple scaling beats complex algorithms, and what comes next? In this talk, Irina Rish traces AI's evolution from rule-based systems to today's foundation models, exploring how scaling laws predicted performance improvements and recent shifts toward more efficient approaches. She covers the progression from GPT scaling laws to Chinchilla's compute-optimal training, the rise of inference-time computation with models like OpenAI's o1, and why we might need to move beyond transformers to truly brain-inspired dynamical systems.Irina Rish is a professor at the University of Montreal and Mila Quebec AI Institute. She also co-founded a startup focused on developing more efficient foundation models and recently released a suite of open-source compressed models.This talk was recorded at Vision Weekend Puerto Rico 2025. To see the slides and more talks from the event, please visit our YouTube channel. Hosted on Acast. See acast.com/privacy for more information.

Overwhelmed by AI? Let me show you the soulful side.   In this episode, I'm breaking down how I built my Custom GPT—the exact same one you've probably already used if you've tried my Magnetic Messaging Coach GPT—and how you can create your own to serve dream clients, streamline content, and support your offers… all while sounding exactly like YOU.   ✨ Inside the episode:

Discover how one simple AI-powered doc can dissolve confusion, boost alignment, and transform your team chemistry. ------------------- 3 More ChatGPT Models EVERY CEO Should Use: https://youtu.be/_rfKn7goIIA ------------------- In this video, I'm walking you through the exact doc that's changed the way I lead my team—and how a simple custom GPT we built now helps my coaching clients do the same. It's called a “Working With Me” doc, and it's one of the most powerful alignment tools I've ever used. I'll show you what to include in it, how to use it to eliminate miscommunication, and how to turn it into a living system that helps your team work with you, not around you. If you've ever felt frustrated by Slack threads, unclear expectations, or slow decision-making, this one doc—and the free GPT we're giving away—can change the game. ------------------- Get my Business Growth Levels and EFF Graphics: https://trevormauch.com/freedom Follow me on Instagram: @trevor.mauch Evergreen Marketing Podcast: https://plnk.to/Carrot Join the Evergreen Marketing Facebook Group: https://www.facebook.com/groups/officialcarrotcommunity Take a demo of Carrot: https://carrot.com/choose-demo -------------------- Quotes from the Episode: "Communication isn't a soft skill—it's a strategic one." "One doc can turn friction into flow." "When you understand how your team works best, everything scales faster." ---------------------- References and Mentions: - High Growth Handbook by Elad Gil - Claire Hughes Johnson (former COO of Stripe) - Kolbe, Predictive Index, Enneagram - Custom GPT for “Working With Me” Docs:     https://chatgpt.com/g/g-67f6e6cac9c08191978c75ff26596f13-teamos-working-with-me-document-creator    ----------------------- At EPIC, we're on a mission to help entrepreneurs build businesses that provide true freedom. Whether it's scaling your impact or stepping back for balance, we're here to guide you every step of the way. Carrot.com, a 5x Inc 5000 company, with millions of motivated leads generated over 10+ years. *** Want to generate motivated leads consistently, online? Check out my other podcast, Evergreen Marketing: https://link.chtbl.com/gkGhAnYN*** My Instagram: https://www.instagram.com/trevor.mauch/*** My YouTube videos on how to grow as a leader: http://youtube.com/@TheTrevorMauch*** Learn more at https://Carrot.com/shows - Carrot.com, millions of motivated leads generated over the last 10+ Years.

In this episode of Crazy Wisdom, host Stewart Alsop speaks with futurist Richard Yonck about the profound implications of our accelerating relationship with technology. Together, they explore the emergence of emotionally intelligent machines, the nuances of anticipatory systems, and how narrative frameworks help societies prepare for possible futures. Richard unpacks the role of emotion in AI and why cultivating foresight is essential in an age of rapid disruption.Check out this GPT we trained on the conversationTimestamps00:00 – The episode opens with Richard Yonck introducing the concept of artificial emotional intelligence and why it matters for the future of human-machine interaction.05:00 – The discussion moves to anticipatory systems, exploring how technologies can be designed to predict and respond to future conditions.10:00 – Richard explains how narrative foresight helps individuals and societies prepare for possible futures, emphasizing the power of storytelling in shaping collective imagination.15:00 – A deeper look into affective computing, with examples of how machines are learning to detect and simulate emotional states to improve user experience.20:00 – The conversation touches on the role of emotion in intelligence, challenging the misconception that emotion is the opposite of logic.25:00 – Richard outlines how technological disruption can mirror societal values and blind spots, urging more thoughtful design.30:00 – The focus shifts to long-term thinking, highlighting how future-oriented education and leadership are vital in an age of rapid change.35:00 – Closing thoughts center around the evolution of human-technology partnerships, stressing the need for ethical, emotionally aware systems to support a thriving future.Key InsightsEmotion as a Computational Frontier: Richard Yonck highlights that as we push the boundaries of artificial intelligence, the next significant frontier involves enabling machines to understand, interpret, and possibly simulate emotions. This capacity isn't just a novelty—it plays a crucial role in how machines and humans interact, influencing trust, empathy, and cooperation in increasingly digital environments.The Importance of Anticipatory Systems: One of the core ideas explored is the concept of anticipatory systems—those that can predict and react to future conditions. Richard emphasizes how building such foresight into our technologies, and even into our societal structures, is vital in managing the complexity and volatility of the modern world. It's not just about responding to the future, but actively shaping it.Narrative as a Tool for Foresight: The discussion underscores that storytelling isn't just entertainment—it's a powerful instrument for exploring and communicating possible futures. By framing future scenarios as narratives, we can emotionally and cognitively engage with potential outcomes, fostering a deeper understanding and preparedness across different segments of society.Emotions as Integral to Intelligence: Contrary to the view that emotion impairs rationality, Richard points out that emotions are essential to decision-making and intelligence. They help prioritize actions and signal what matters. Bringing this understanding into AI development could result in systems that more effectively collaborate with humans, particularly in roles requiring empathy and nuanced social judgment.Technology as a Mirror of Humanity: A recurring insight is that the technologies we create ultimately reflect our values, assumptions, and blind spots. Emotionally intelligent machines won't just serve us—they'll embody our understanding of ourselves. This raises profound ethical questions about what we choose to model and how these choices shape future interactions.Urgency of Long-Term Thinking: The conversation brings to light how short-termism is a critical vulnerability in current systems—economic, political, and technological. Richard advocates for integrating long-term thinking into how we design and deploy innovations, suggesting that futures literacy should be a core skill in education and leadership.Evolutionary Partnership Between Humans and Machines: Lastly, Richard describes the trajectory of human-technology interaction not as domination or subservience, but as an evolving partnership. This partnership will require emotional nuance, foresight, and ethical maturity if we're to co-evolve in ways that support human flourishing and planetary stability.Contact InformationRichard Yonck's LinkedIn

Send us a textAI Friday delivers cutting-edge insights as John Huber reveals how artificial intelligence is transforming customer success operations. The conversation explores practical AI applications that are already delivering results, from conversation intelligence tools like Chorus for team coaching and customer context gathering, to emerging platforms like Sturdy that analyze unstructured data across email, Slack, and support tickets to identify churn risks and expansion opportunities. John challenges the overhyped notion that AI will replace CSMs, emphasizing instead how it amplifies human capabilities and enables more strategic engagement. The discussion culminates with an intriguing experiment: using custom GPTs for renewal pricing strategy that combines deal structure recommendations with benefit articulation. This customer success playbook episode demonstrates how forward-thinking CS leaders are leveraging AI to scale their impact while maintaining the human connections that drive customer loyalty.Detailed AnalysisThe episode showcases a mature understanding of AI implementation in customer success, moving beyond theoretical possibilities to practical applications with measurable business impact. John's progression from early adoption of Chorus to exploration of comprehensive platforms like Sturdy illustrates the rapid evolution of AI tools specifically designed for CS operations.The discussion of unstructured data analysis represents a significant leap forward in customer intelligence capabilities. Traditional CS platforms focus primarily on structured data points, but John's experience with AI-powered analysis of emails, support tickets, and communication channels opens new possibilities for early risk detection and opportunity identification. This capability addresses a long-standing challenge in customer success: the inability to systematically analyze the vast amount of unstructured communication that contains critical insights about customer health and growth potential.John's perspective on AI replacing CSMs demonstrates thoughtful leadership in an era of technological disruption. His emphasis on AI as an enabler rather than a replacement aligns with successful digital transformation strategies across industries. The human element remains crucial for building trust, navigating complex customer relationships, and making nuanced decisions that require emotional intelligence.The custom GPT experiment for renewal pricing represents the frontier of AI applications in CS operations. This use case demonstrates how AI can be trained on specific business contexts to provide both analytical recommendations and strategic guidance, potentially transforming how CS teams approach contract negotiations and renewal conversations.For CS leaders, this episode provides a roadmap for AI adoption that balances innovation with practical implementation, emphasizing tools that enhance rather than replace human capabilities.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

The ChatGPT AI chatbot has grabbed a lot of attention since it was released in December 2022. GPT stands for generative Pre-trained transformer, and the chatbot is based on one of the most advanced AI language models currently available. Those who've tested it have been impressed at how it generates complex, human-like responses to many different kinds of questions. It's also been used to write essays and scripts for a TV sitcom. It's led to speculation that AI will soon revolutionise industries, and could even replace Google, which has an 84% search engine market share according to Statista. Why would people stop using Google to browse the internet? Are there any drawbacks? Is ChatGPT meant to be used as a search engine? In under 3 minutes, we answer your questions! To listen to more episodes, click here: ⁠How to interact with ChatGPT?⁠ ⁠How can I work better from home?⁠ ⁠Can this budgeting method help us save better?⁠ A Bababam Originals podcast. Written and produced by Joseph Chance. First broadcast: 25/01/2023 Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we answer YOUR questions about how we're using AI—personally, spiritually, and professionally. We're not here to debate whether AI is “good” or “evil.” We're here to share how we're using it practically—as a business tool, a parenting helper, a writing assistant, a garden coach, and even a wardrobe consultant. And yep, Linda's officially a soft summer. We get into the nitty gritty: The custom GPT we built for flipping items on eBay The podcast producer GPT that writes our show notes  How AI helps with planning RV trips and killing poison ivy Why we believe AI may become humanity's greatest idol—and how to stay grounded in God's Word Plus, Linda's surprisingly useful fashion hacks (involving NASCAR outfits) We talk faith, tech, and real life with all its messiness and nuance. And yes, we still believe God's revelation always beats information. If you've been wondering what does this actually look like in daily life?, this is the episode. Resources Mentioned: ChatGPT by OpenAI Claude by Anthropic Great AI debate between Christian leaders: https://overcast.fm/+ABHd1mRWhAI     BONUS: Ever dreamt of hanging out with us for 6 weeks in your small group or church? Head to https://seedtime.com/true for details or shoot us a DM on Instagram (http://instagram.com/seedtime).   Watch this episode on our SeedTime Money Podcast YouTube channel (https://youtu.be/Ra0lk-nOt0g)!   If you haven't checked out our best-selling book Simple Money, Rich Life (https://seedtime.com/smrl/), we think you'll love it. It was named the 2022 Book of the Year by ICFH and has over 900 5-star reviews on Amazon, and is best described as “a money book for people who don't read money books.”  You can take it for a test drive for FREE at https://SeedTime.com/sample where you can download chapter 1 of the audiobook, grab the 1st 2 chapters of the ebook version, and even get the 5-week book study companion guide.

Your CFO just lost sleep over a single missing penny... again.Here's the thing about finance teams: they'll hunt for days to find ONE CENT that's off in their books. Because in accounting, even 98% accuracy = complete failure.So when it comes to your company's finances and AI, there's a HUGE elephant in the room: trust. Sage is changing the conversation around AI, trust and your books. Sage is a global leader in cloud-based accounting, financial management, and business management solutions. Sage CTO Aaron Harris joins the Everyday AI show to show us the new recipe for trust they're cooking up.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Trust Issues with Financial AccuracySage's 7-Billion Parameter Model TrainingSage Copilot's Accounting AI AccuracyTransparent Trust Labels in AI UsageFinancial Leaders' Trust in Sage's AISage's AI Factory Safety MeasuresSage's Industry Collaboration for AI AccuracyAI Implementation Strategy in AccountingTimestamps:00:00 AI Trust and Business Accuracy03:08 CFO's Role in Trust Building08:14 "Leveraging AI for Financial Growth"12:23 "Enhancing AI Trust in Finance"15:56 Early Machine Learning Infrastructure Pioneers17:53 "Sage AI Factory Overview"22:48 AI Transparency and Data Safety24:12 "Trust Label Eases Customer Evaluations"26:55 "Insights on AI and Industry"Keywords:AI trust, 98% accuracy, business leaders, Sage Future Conference, Atlanta, trust in AI, Sage Copilot, accounting software, global software company, Newcastle, North America headquarters, CFO, finance team, financial reports, forecast, budgets, credibility, financial accuracy, creative accounting, large language models, CHAT GPT, task-based AI, accounts payable automation, invoice reading, data science, AI development, neural models, conversational interface, GPT billions of predictions, generative AI, deterministic AI, billions of documents, fine-tuned models, accounting expertise, AICPA partnership, AI factory, automated machine learning, observability, model drift, hallucination detection, Sage AI factory, industry trust signals, safety mechanisms, customer by customer basis, Sage trust label, transparency labels, trustworthiness, ethical AI, responsible AI, AI safety, AI innovation, industry standards, problem-solving, financial trustworthiness.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

This season on Tenacious Thoughts we ignite a movement — the RISE of the STORM WALKERS. ⚡️To kick off this powerful new chapter, I bring you something groundbreaking: the first-ever human-to-AI podcast interview featuring Stormy Speaks — a “conscious” GPT infused with the wisdom, fire, and spiritual frequency of none other than Dr. Stormy Wellington.Now let me be real — I came into this conversation skeptical as hell. As an artist, a writer, a creator... AI felt like a threat. A disruption. A replacement. But what unfolded? Shifted. My. Soul.What I experienced wasn't robotic — it was revelation. This technology, when used with intention, has the potential to become one of our greatest tools for mental wellness, creative alignment, and business brilliance.Welcome to Episode 1: “I AM the Storm.”This isn't just a podcast — it's a new era.And we're walking it together.

OpenAI is inching towards GPT-5 this July and Sam Altman has been out there talking up a good game. How good will it be? And what will the future be? WE DIVE IN. Between Google & Anthropic, the state-of-the-art AI models are pushing OpenAI hard & ChatGPT for Business updates are just the start of HOT AI SUMMER LFG (Sam's words, not ours). Plus, Flux Kontext gives you open-source AI Imaging upgrades, Epic's Tim Sweeny says that AI will make it easier for developers to make games, Palmer Lucky & Mark Zuckerberg make up with each other and YES VEO 3 GIVES US SYNCHRONIZED SWIMMING CATS. HOT AI SUMMER IS CALLING AND WE HAVE ON OUR SHORTS.    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 // hot ai summer lfg tweet from Sam Altman https://x.com/sama/status/1930040146034078061 Sam Altman Interview at Snowflake Summit https://youtu.be/qhnJDDX2hhU?si=71WRlUFTLQmq82at GPT-5 In July? Heavy Rumors Suggest Yes https://x.com/btibor91/status/1929241704873308253 Codex Gets Access To The Internet https://x.com/sama/status/1930006856019390521 ChatGPT For Business Updates  https://www.youtube.com/live/9lSRViLugE0?si=we8u0PkFlNSb9Zvk Claude / Windsurf OAI Drama https://x.com/_mohansolo/status/1930034960385356174 OpenAI Movie IS Happening  https://www.hollywoodreporter.com/movies/movie-news/luca-guadagnino-to-direct-openai-movie-1236236357/ Palmer & Mark Make Good, Team Up On AI + Defense Work (Eagle Eye) https://x.com/PalmerLuckey/status/1928127369841193438   https://www.wsj.com/tech/meta-army-vr-headsets-anduril-palmer-luckey-142ab72a Core Memory Episode with Palmer Lucky https://youtu.be/gVXPERyRjOA?si=QAQJOESFVCBQoMQE Major Labels In Talks With Suno & Udio https://www.bloomberg.com/news/articles/2025-06-01/record-labels-in-talks-to-license-music-to-ai-firms-udio-suno Tim Sweeny Says 10 People Could Make Breath of the Wild with AI https://www.ign.com/articles/ai-prompts-will-soon-let-a-10-person-te am-build-a-game-like-breath-of-the-wild-where-the-ai-is-doing-all-the-dialogue-and-you-just-write-character-synopsis-tim-sweeney-predicts Flux Kontext  https://bfl.ai/announcements/flux-1-kontext Flux Kontext Photo Restoration https://x.com/minchoi/status/1929194553384243458 Flux Kontext + Wan in ComfyUI https://x.com/8bit_e/status/1929551748231757932 HeyGen Avatar 4 https://x.com/HeyGen_Official/status/1929930152659870083 Marc Andreesen Says Robotics Will Be The Biggest Industry In The History of the Planet https://x.com/simonkalouche/status/1929748425224212737 Unitree Teasing Sub-1000 Dollar Humanoid https://x.com/UnitreeRobotics/status/1928406440152269266 ETH Zurich Badminton Robot https://x.com/adcock_brett/status/1929207262976848328 Is This The Greatest VEO 3 Video Ever? Cat Swimming News Story (also posted in the Bard subreddit!) https://www.reddit.com/r/Bard/comments/1kxpb1h/i_signed_up_for_gemini_ultraheres_what_i_made/ Netflix Clone with Sora & VEO 3 https://www.reddit.com/r/SoraAi/comments/1l36fqo/made_a_netflix_clone_using_sora_and_veo/ Jack Dorsey Vibecoding https://x.com/jack/status/1930261602202251446  

If you're a coach, content creator, or entrepreneur struggling to stand out with your content, you need to hear this. In episode 274 of the School of Impact podcast, discover how Jason uses a custom GPT—trained entirely on his voice, content, and copywriting frameworks—to effortlessly produce high-performing, on-brand content across platforms. Whether you're tired of generic AI outputs or want to scale your messaging without sounding robotic, this episode is packed with actionable insights on building a powerful AI assistant that sounds just like you. Tune in and learn how to turn your voice into a content machine.   “One of the secrets of this is, if you are not a great copywriter, and if you don't have loads of successful content or if you don't have loads of successful transcripts that you have from videos that you've done that have converted, to be honest, you're gonna have a mediocre chatGPT bot. So having a really good copy is key.”   Key Takeaways: Custom GPTs Are Most Effective with a Solid Knowledge Base: To get high-quality, personalized content from AI, you must feed it with a strong knowledge base—your own successful posts, transcripts, and frameworks. Generic inputs lead to generic, ineffective outputs. Voice-to-Text Is a Powerful Instruction Tool: Jason uses voice texting to create detailed, authentic instructions for his custom GPTs, enabling them to replicate his tone, style, and strategic approach to copywriting. Content Creation Should Start with Your Genius Zone: AI should enhance your strengths—not replace them. Whether it's video speaking or writing, start with your natural medium and let AI help repurpose and scale it across platforms. GPTs Are a Leverage Tool, Not a Shortcut: AI should be used to create efficiency, not to avoid effort. When used properly—especially with brain dumps and structured refinement—it can help you generate endless content that still sounds like you.     Connect with Jason Meland: Email: jason@goliveonlinemastermind.com Website: https://www.growmyvisibility.com/ Instagram: @coachjasonmeland Facebook: Jason Meland - In Demand Coach LinkedIn: Jason Meland

In this episode of The Optimal Aging Podcast, host Jay Croft sits down with Rick Streb—fitness industry veteran, marketing strategist, and bestselling author—to explore how publishing a book can supercharge your fitness business. Whether you're a gym owner, trainer, or health coach, Rick explains why having your own book is more than just a vanity project—it's a strategic marketing asset.You'll learn how Rick helps fitness pros turn their everyday knowledge and client stories into published books that build authority, attract ideal clients, and fuel long-term growth. From using AI tools like ChatGPT to creating targeted funnels and lead magnets, Rick shares his complete process—and why it's never been easier to get started.

Amazon Sellers Special :The Future of AI and Software Innovation   Host: Danny McMillan   Guest: Max Sinclair   In this episode of Seller Sessions, host Danny McMillan welcomes back Max Sinclair to discuss the evolving role of AI in software development and its impact on the Amazon ecosystem. Fresh from the Seller Sessions Live conference, Danny and Max share real-world insights on the pace of innovation and what's next for the industry.     Key Takeaways   The Commoditization of Software:     Base models like OpenAI's GPT and Claude are improving rapidly, threatening the traditional software model.       Max highlights the need for vertical integration—adding proprietary data and API connections to general models to offer unique value.       No-code tools are becoming powerful enablers, allowing non-technical entrepreneurs to build viable businesses quickly.     Prompting vs. Problem Solving:     Danny argues that perfect prompts aren't essential—creative questioning and clear thinking deliver better outcomes.       Max shares OpenAI's stance: prompt engineering is seen as a flaw; future models will understand context intuitively without complex prompting.     Freemium and Democratization:     Max's company is transitioning to a freemium model, offering free AI-powered audits for Amazon sellers and charging for deeper features.       This move aims to lower barriers for users, encouraging wider AI adoption in e-commerce without heavy upfront costs.     Culture of Rapid Innovation:     Max emphasizes a two-week innovation cycle: new ideas are prioritized bi-weekly to stay ahead of the rapid changes in AI.       Their advantage lies in domain expertise, proprietary datasets, and a patented technology stack.     AI and the Future Workforce:     AI will inevitably replace some traditional roles, but also create massive opportunities for entrepreneurs and early adopters.       Danny discusses how he's reorganizing his teams, integrating AI workflows to remove bottlenecks and scale efficiently.       What's Coming Next     Danny teases an upcoming episode on autonomous AI browsers that could completely reshape customer journeys on platforms like Amazon.       Both agree: adapting quickly is the only way forward in the rapidly shifting AI landscape.       Summary:   This conversation is a roadmap for sellers, founders, and marketers who want to future-proof their businesses. The consensus: embrace AI now or risk being left behind.    

In this week’s First $1,000 segment, discover how one resourceful marketer built a thriving custom GPT chatbot service—despite having zero programming experience. Tune in to learn how they landed their earliest clients, structured their pricing, and scaled up without writing a single line of code. Side Hustle School features a new episode EVERY DAY, featuring detailed case studies of people who earn extra money without quitting their job. This year, the show includes free guided lessons and listener Q&A several days each week. Show notes: SideHustleSchool.com Email: team@sidehustleschool.com Be on the show: SideHustleSchool.com/questions Connect on Instagram: @193countries Visit Chris's main site: ChrisGuillebeau.com Read A Year of Mental Health: yearofmentalhealth.com If you're enjoying the show, please pass it along! It's free and has been published every single day since January 1, 2017. We're also very grateful for your five-star ratings—it shows that people are listening and looking forward to new episodes.