Podcasts about making ai

We're diving deep into enterprise GenAI with Ben Luria, CEO & Co‑Founder of Hirundo (Machine Unlearning). A Rhodes Scholar and Visiting Fellow at Oxford, Ben previously founded fintech and edtech ventures and now focuses on how to make AI “forget” to reduce real‑world risks.

Send us a text“AI in Pathology Isn't Coming — It's Already Here. Are You Ready?”From confusion to clarity — that's what this episode is all about. I sat down with Drs. Liron Pantanowitz, Hooman Rashidi, and Matthew Hanna to dissect one of the most important and comprehensive AI-in-pathology resources ever created: the 7-part Modern Pathology series from UPMC's Computational Pathology & AI Center of Excellence (CPAiCE). This isn't just another opinion piece — it's your complete guide to understanding, implementing, and navigating AI in pathology with real-world insights and a global lens.Together, we discuss:Why pathologists and computer scientists are often lost in translationHow AI bias, regulation, and ethics are being addressed — globallyWhat it really takes to operationalize AI in patient care todayIf you've ever asked, “Where do I even start with AI in pathology?” — this is your answer.

As the next AI cycle begins, state and national governments are trying to keep up. And AI policy now matters for energy, health, education, foreign, and economic development policy as well. What can we learn from the early AI legislation? Chinnu Parinandi finds that partisan alignments and institutional capacity shape where and how consumer protection versus economic development AI policies appear in the states. Heonuk Ha finds an AI boom in congressional legislation with key thematic clusters—from innovation and security to data governance and healthcare.

IoT isn't a buzzword anymore. It's business. Wienke Giezeman built The Things Industries from scratch. Now he's managing 3 million connected devices globally. $4M in annual revenue. And he did it by breaking every Silicon Valley rule. No "winner takes all" mentality. Pure collaboration. This episode cuts through the IoT hype cycle. Wienke reveals why most IoT projects failed. How his company survived when others didn't. And why sharing your IP actually grows the market. Real talk on scaling hardware. Building communities. Making AI work with IoT data. From cattle tracking to vape detection in school bathrooms. From forest fire sensors to toilet paper dispensers. The use cases that actually make money. Plus: Why the next wave of IoT growth is coming. And how startups can avoid the graveyard. Timestamps: 00:00 Introduction and Guest Welcome 00:13 Wienke Giezeman's Background and Company Overview 00:52 Early Days and Inspiration 01:34 Building a Global Network 02:08 Community and Collaboration 06:31 The Things Conference 09:22 Trends in IoT and AI Integration 15:12 Future Prospects and Reflections 25:10 Advice for IoT Startups 27:35 Conclusion and Final Thoughts Hit subscribe for more unfiltered tech insights. Rate us 5 stars if this episode delivered value. Connect with Wienke: https://www.linkedin.com/in/wienke/ The Things Network: https://www.thethingsnetwork.org/ The Things Industries: https://www.thethingsindustries.com/ The Things Conference: https://www.thethingsconference.com/ 23-24 September 2025, Amsterdam

What does it take to make AI actually work at enterprise scale? In this episode of Tech Talks Daily, I'm joined by Ryan Steelberg, CEO of Veritone, to unpack the very real challenges and opportunities that come with bringing artificial intelligence into complex industries like media, law enforcement, and government. Ryan has been building AI solutions long before it became headline news. He co-founded Veritone in 2014 with a mission to solve the unstructured data problem. Think audio, video, and other media that doesn't fit neatly into rows and columns. Now, Veritone isn't just talking about AI. It's powering more than 3,000 clients across sectors with real applications that drive measurable ROI. We get into what it means to work with unstructured data at scale, and how Veritone processed over 58 million hours of media in 2024 alone. Ryan explains why traditional enterprises struggle to operationalize AI and how Veritone has evolved from a platform company into a creator of end-user applications designed for impact. This includes ad optimization for ESPN and video redaction for law enforcement. What's especially compelling is Veritone's growing footprint in high-barrier sectors like federal defense and law enforcement. Ryan talks through what it took to become a prime contractor for the U.S. Air Force and Defense Logistics Agency, how Veritone adapted its stack for secure deployments, and why the key to adoption in these sectors isn't just tech. It's trust and proximity to mission-critical outcomes. We also discuss the company's push into the $17 billion global training data market through the Veritone Data Repository. Ryan shares why VDR is gaining traction fast and how it positions the company as a key partner for the next generation of AI models. This isn't a story of hype or futuristic promises. It's a grounded look at what it really takes to scale AI in some of the most demanding enterprise environments. Whether you're deep in the AI world or still figuring out where your business fits, Ryan's perspective is honest, strategic, and full of lessons you can apply right now.

The launch of ChatGPT-5 and deprecation of 4o caused blowback among users, Stephen built an entire iPhone app with ChatGPT-5, Perplexity wants to buy Chrome, live translation feature coming to AirPods, Apple planning an AI powered robot, and which tech CEOs would be in the Avengers?Bonus Episode: Healthcare Websites Beat Perplexity Comet. Listen here!------------------------------Show Notes via EmailSign up to get exactly one email per week from the Primary Tech guys with the full episode show notes for your perusal. Click here to subscribe.------------------------------Watch on YouTube!Subscribe and watch our weekly episodes plus bonus clips at: https://youtu.be/tu9OGS_epJA------------------------------Join the CommunityDiscuss new episodes, start your own conversation, and join the Primary Tech community here: social.primarytech.fm------------------------------Support the showGet ad-free versions of the show plus exclusive bonus episodes every week! Subscribe directly in Apple Podcasts or here if you want chapters: primarytech.memberful.com/join------------------------------Reach out:Stephen's YouTube Channel@stephenrobles on ThreadsStephen on BlueskyStephen on Mastodon@stephenrobles on XJason's Inc.com Articles@jasonaten on Threads@JasonAten on XJason on BlueskyJason on Mastodon------------------------------We would also appreciate a 5-star rating and review in Apple Podcasts and SpotifyPodcast artwork with help from Basic Apple Guy.Those interested in sponsoring the show can reach out to us at: podcast@primarytech.fm------------------------------Links from the showSam Altman on ChatGPT 5 vs 4oOpenAI Just Announced GPT-5, Its Best Model Yet, and People Are Very MadI Built an iPhone App Entirely with ChatGPT 5 - YouTubeAn update on Blood Oxygen for Apple Watch in the U.S. - AppleSam Altman's new startup wants to merge machines and humans | The VergeElon Musk Threatens to Sue Apple Over App Store Rankings - MacRumorsElon Musk Complaining About App StoreApple Denies Musk's ChatGPT Favoritism Claims, Says App Store Has No Bias - MacRumorsAI Startup Perplexity Makes $34.5B Bid for Google's Chrome Browser - BloombergPerplexity's $34.5 Billion Dream of Buying Chrome Is Never Going to Happen. It's Also Kind of BrilliantPerplexity's Valuation Jumps to $20 Billion in Latest Fundraise - Business InsiderLive Translation Coming to AirPods - MacRumorsiOS 26 beta 6 adds six brand new iPhone ringtones, listen here - 9to5MacApple's plan for AI could make Siri the animated center of your smart home | The VergeThreads is no longer just chasing X. It's catching up - Fast CompanyMicrosoft Is Trying to Poach Meta AI Talent, Documents Show - Business InsiderAfter 34 Years, AOL Is Finally Hanging Up on the Internet's Most Iconic Sound. It's Truly the End of an EraCassette brings VHS nostalgia to your iPhone's camera roll - 9to5MacWHOOP Membership Options | Compare Plans and Features (00:00) - Intro (03:27) - ChatGPT 5 Blowback (11:31) - iPhone App Made By GPT 5 (23:30) - Elon Mad at App Store (28:16) - Perplexity Stunt to Buy Chrome (31:00) - iOS 26 Beta Features (35:49) - Apple 2027 AI Plan (39:23) - Threads 400M Actives (42:06) - Microsoft Poaching AI Talent (45:40) - Tech CEO Avengers (49:56) - AOL Dial-Up (50:48) - Cassette iPhone App (52:38) - Whoop Fitness Band (01:01:25) - Shared Calendars ★ Support this podcast ★

Technology isn't the problem. Culture is.As law firms race to adopt AI and legal tech, one truth becomes impossible to ignore:No tool can fix a trust gap.And without cultural buy-in, even the best solutions will fail.This isn't about resisting change.It's about designing it with people at the centre.In this conversation, I'm sitting down with Sophie Best, CEO, Legal Tech Consultant & Educator, who helps lawyers and legal teams navigate the fast-changing world of AI, legal tech, education, and community.We talk about why legal tech adoption keeps failing and how firms can shift from selling tools to solving real problems.Sophie unpacks the trust gap, cultural resistance, and what it really takes to make AI work for lawyers, not against them.

Kaan Terzioglu, CEO of Veon (VEON), a telecom company, breaks down their latest earnings. “Our growth is remarkable when it comes to digital services,” he says. “Our strategy of being a digital operator works,” Kaan adds, particularly for frontier communities worldwide that are still underserved by telecom. He discusses their work internationally, highlighting moves into “healthcare and education” and the speed of penetration. As these frontier communities grow wealthier, Veon is gaining customers every year. Veon is using AI to create language models in the native languages of the customers it serves.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

In this episode of the FutureCraft GTM Podcast, hosts Ken Roden and Erin Mills reunite with returning favorite Liza Adams to discuss the current state of AI adoption in marketing teams. Liza shares insights on why organizations are still struggling with the same human change management challenges from a year ago, despite significant advances in AI technology. The conversation covers practical frameworks for AI implementation, the power of digital twins, and Liza's approach to building hybrid human-AI marketing teams. The episode features Liza's live demonstration in our new Gladiator segment, where she transforms a dense marketing report into an interactive Jeopardy game using Claude Artifacts. Unpacking AI's Human Challenge Liza returns with a reality check: while AI tools have dramatically improved, the fundamental challenge remains human adoption and change management. She reveals how one marketing team successfully built a 45-person organization with 25 humans and 20 AI teammates, starting with simple custom GPTs and evolving into sophisticated cross-functional workflows. The Digital Twin Strategy: Liza demonstrates how creating AI versions of yourself and key executives can improve preparation, challenge thinking, and overcome unconscious bias while providing a safe learning environment for teams. The 80% Rule for Practical Implementation: Why "good enough" AI outputs that achieve 80-85% accuracy can transform productivity when combined with human oversight, as demonstrated by real-world examples like translation and localization workflows. Prompt Strategy Over Prompt Engineering: Liza explains why following prompt frameworks isn't enough—you need strategic thinking about what questions to ask and how to challenge AI outputs for better results. 00:00 Introduction and Balance Quote 00:22 Welcome Back to FutureCraft 01:28 Introducing Liza Adams 03:58 The Unchanged AI Adoption Challenge 06:30 Building Teams of 45 (25 Humans, 20 AI) 09:06 Digital Twin Framework and Implementation 17:34 The 80% Rule and Real ROI Examples 25:31 Prompt Strategy vs Prompt Engineering 26:02 Measuring AI Impact and ROI 28:21 Handling Hallucinations and Quality Control 32:50 Gladiator Segment: Live Jeopardy Game Creation 40:00 The Future of Marketing Jobs 47:49 Why Balance Beats EQ as the Critical Skill 51:09 Rapid Fire Questions and Wrap-Up Edited Transcript: Introduction: The Balance Between AI and Human Skills As AI democratizes IQ, EQ becomes increasingly important. Critical thinking and empathy are important, but I believe as marketers, balance is actually more important. Host Updates: Leveraging AI Workflows Ken Roden shares his approach to building better AI prompts by having full conversations with ChatGPT, exporting them to Word documents, then using that content to create more comprehensive prompts. This method resulted in more thorough market analysis with fewer edits required. Erin Mills discusses implementing agentic workflows using n8n to connect different APIs and build systems where AI tools communicate with each other. The key insight: break workflows down into steps rather than having one agent handle multiple complex tasks. Guest Introduction: Liza Adams on AI Adoption Challenges Liza Adams, the AI MarketBlazer, returns to discuss the current state of AI adoption in marketing teams. Despite significant technological advances, organizations still struggle with the same human change management challenges from a year ago. The Core Problem: Change Management Over Technology The main issue isn't about AI tools or innovation - teams can't simply be given ChatGPT, Claude, Gemini, and Perplexity and be expected to maximize their potential. Marketing teams are being handed tools while leaders expect employees to figure out implementation themselves. People need to see themselves in AI use cases that apply to their specific jobs. Joint learning sessions where teams share what works and what doesn't are essential. The focus has over-pivoted to "what's the right tool" when it should be on helping people understand, leverage, and make real impact with AI. The AI Adoption Plateau Many organizations face an AI adoption plateau where early adopters have already implemented AI, but a large group struggles with implementation. Companies attempting to "go fully agentic" or completely redo workflows in AI are taking on too much at once. Success Story: The 45-Person Hybrid Team Liza shares a case study of a marketing team with 45 members: 25 humans and 20 AI teammates that humans built, trained, and now manage. They started with simple custom GPTs, beginning with digital twins. Digital Twin Strategy for AI Implementation Digital twins are custom GPTs trained on frameworks, thinking patterns, publicly available content, and personality assessments like Myers-Briggs. These aren't designed to mimic humans but to learn about them and find blind spots, challenge thinking patterns, and overcome unconscious bias. For executive preparation, team members use digital twins of leadership to anticipate questions, identify gaps in presentations, and prepare responses before important meetings. The progression: Simple digital twins → Function-specific GPTs (pitch deck builders, content ideators, campaign analyzers) → Chained workflows across multiple departments (marketing, sales, customer success). Prompt Strategy vs. Prompt Engineering Following prompt frameworks (GRACE: Goals, Role, Action, Context, Examples) isn't enough if the underlying thinking is basic. AI magnifies existing thinking quality - good or bad. Example: Instead of asking "How do I reduce churn?" ask "Can you challenge my assumption that this is a churn problem? Could this data indicate an upsell opportunity instead?" This transforms churn problems into potential revenue opportunities through different strategic thinking. The 80% Rule for Practical AI Implementation AI outputs achieving 80-85% accuracy can transform productivity when combined with human oversight. Example: A team reduced translation and localization costs from tens of thousands of dollars monthly to $20/month using custom GPTs for eight languages, with human review for the final 15-20%. Measuring AI ROI: Three Strategic Approaches Align with Strategic Initiatives: Connect AI projects to existing company strategic initiatives that already have budgets, resources, and executive attention. Focus on Biggest Pain Points: Target areas where teams will invest resources to solve problems - excessive agency costs, overworked teams, or poor quality processes. Leverage Trailblazers: Identify curious team members already building AI solutions and scale their successful implementations. Handling AI Hallucinations and Quality Control AI models hallucinate 30-80% of the time when used as question-and-answer machines for factual queries. Hallucinations are less common with strategic questions, scenario analysis, and brainstorming. Prevention strategies: Limit conversation length and dataset size to avoid context window limitations Use multiple AI models to cross-check outputs Implement confidence checking: Ask AI to rate confidence levels (low/medium/high), explain assumptions, and identify what additional information would increase confidence Live Demo: Claude Artifacts for Interactive Content Liza demonstrates transforming the 2025 State of Marketing AI report into an interactive Jeopardy game using Claude Artifacts. The process involves uploading a PDF, providing specific prompts for game creation, and generating functional code without technical skills. This "vibe coding" approach allows users to describe desired outcomes and have AI build interactive tools, calculators, dashboards, and training materials. Future of Marketing Jobs and Skills Emerging roles: AI guides, workflow orchestrators, human-AI team managers Disappearing roles: Language editors, basic researchers, repetitive design tasks Transforming roles: Most existing positions adapting to include AI collaboration Critical skill for the future: Balance Innovation with ethics Automation with human touch Personalization with transparency Balance may be more important than emotional intelligence as AI democratizes cognitive capabilities. Key Takeaways The Gladiator segment demonstrates how dense research reports can become engaging, interactive content without engineering resources. Making AI implementation fun helps teams stay balanced and avoid overwhelm. Success comes from starting with tiny AI wins rather than comprehensive strategies, focusing on human change management over tool selection, and building systems that augment rather than replace human creativity. This version removes the conversational back-and-forth while preserving all the searchable content people would look for when researching AI implementation, digital twins, prompt strategy, change management, and practical AI use cases. Stay tuned for more insightful episodes from the FutureCraft podcast, where we continue to explore the evolving intersection of AI and GTM. Take advantage of the full episode for in-depth discussions and much more. ----more---- To listen to the full episode and stay updated on future episodes, visit the FutureCraft GTM website. Disclaimer: This podcast is for informational and entertainment purposes only and should not be considered advice. The views and opinions expressed in this podcast are our own and do not represent those of any company or business we currently work for/with or have worked for/with in the past.

In the first ever live-audience recording of a SWAJ episode, Brad Onishi and and Dan Miller discuss the unholy alliance between the White House and PragerU to generate AI slop that rewrites the words of Founding Fathers to fit ultra-conservative narratives. They highlight the deeper implications of this partnership, including the potential impact on education, the distortion of historical truth, and the broader socio-political atmosphere. The episode also touches on questions from the audience related to Christian nationalism, Reconstructionism, and current political controversies. Subscribe for $5.99 a month to get bonus content most Mondays, bonus episodes every month, ad-free listening, access to the entire 800-episode archive, Discord access, and more: ⁠https://axismundi.supercast.com/ Linktree:⁠ https://linktr.ee/StraightWhiteJC⁠ Order Brad's book: ⁠https://bookshop.org/a/95982/9781506482163 Learn more about your ad choices. Visit megaphone.fm/adchoices

Sameet Gupte, Co-founder & CEO, EvoluteIQFrom tedious tasks to complex workflows, automation has come a long way, but what happens when AI, ML, and low-code/no-code converge? Intelligent Automation is reshaping how organizations operate, innovate, and scale across sectors like healthcare, finance, and tech. Vriti Gothi sits down with Sameet Gupte, Co-founder and CEO of EvoluteIQ, to discuss digital transformation, the oppourtunites and challenges, and what it takes to build resilience and agility in a rapidly changing world.

Send us a textGenerative AI is transforming the way clinicians interact with technology. In this episode, Dr. Holly Urban, VP of Business Development at Wolters Kluwer, joins John Driscoll to discuss how AI, ambient listening tools, and trusted medical content like UpToDate are improving clinical workflows, easing documentation burdens, and making healthcare delivery more precise, efficient, and human-centered.

In this episode of the Vacation Rental Success Podcast, host Heather Bayer sits down with Fred Bassili from Hostfully to discuss the evolving role of AI in vacation rental businesses and how short-term rental managers can use AI tools and workflows to scale operations, improve guest communication, and boost owner acquisition. Fred Bassili, a seasoned content and marketing strategist at Hostfully, brings a wealth of experience from both sides of the vacation rental industry - as a former host and now a driving force behind tech adoption and education. With a background in content development and a passion for simplifying complex technologies, Fred is on a mission to help property managers use AI in practical, hospitality-centered ways. His insights come not only from his work at Hostfully, but from years of observing the shift in industry sophistication and tech stack growth among property managers worldwide. Revolutionize Your Employee Onboarding with THRIVE Essentials: Faster Training, Stronger Teams, Better Results! Discover how THRIVE Essentials accelerates onboarding for new property management staff, boosting performance and reducing turnover. >> THRIVE Essentials Are you listening to this podcast on the move? Get to the show notes here: https://www.vacationrentalformula.com/VRS619

After meeting on the IT Press Tour,  I enjoyed a conversation with Michael Wu, President and General Manager of Phison US, about the revolutionary advances in AI-enabled storage technology.  We begin by exploring Phison's AdaptivePlus platform and its integration with StoreOne's AI solution, making AI training more accessible and affordable for businesses. We also discuss the technical innovations behind their storage-based AI acceleration, including their new E28 controller and Pascari SSDs.  Finally, we discuss the future of AI workloads and how Phison's technology is preparing to handle models with up to 2 trillion parameters. This episode is packed with insights for IT leaders, business executives, and anyone interested in the intersection of storage technology and artificial intelligence.

Send us a textKaashvi Mittal, a rising high school senior, is transforming how we think about AI education. As founder of Together We AI, she's breaking down complex technology into bite-sized, understandable concepts through free workshops that make artificial intelligence accessible to everyone.The spark for Kaashvi's journey came during a Stanford AI for All summer program where she helped create an AI model analyzing satellite imagery to determine socioeconomic status of different regions. For parents and educators worried about children becoming overly dependent on AI, Kaashvi offers practical wisdom: establish clear boundaries between helpful uses (generating practice problems) versus harmful applications (writing essays). She emphasizes developing core skills first, using AI as a supportive tool rather than a replacement for critical thinking.Resources Mentioned in This EpisodeTogether We AI Sign up for Kaashvi Mittal's free, beginner-friendly AI workshops: www.togetherweai.org Instagram: @TogetherWeAIStanford AI4ALL Program A summer program that introduces high school students to AI and its applications: ai-4-all.orgLearning Platforms for Kids:Code.org – Great for learning the basics of computer science and AI code.orgKhan Academy – Offers beginner-friendly videos about AI and computer science khanacademy.orgImage Generators Mentioned:DALL·E – An AI model that creates images from text prompts openai.com/dall-eMidjourney – A generative AI platform for high-quality artistic images midjourney.comSupport the showHelp us become the #1 podcast for AI for Kids.Buy our new book "Let Kids Be Kids, Not Robots!: Embracing Childhood in an Age of AI"Social Media & Contact: Website: www.aidigitales.com Email: contact@aidigitales.com Follow Us: Instagram, YouTube Gift or get our books on Amazon or Free AI Worksheets Listen, rate, and subscribe! Stay updated with our latest episodes by subscribing to AI for Kids on your favorite podcast platform. Apple Podcasts Amazon Music Spotify YouTube Other Like our content, subscribe or feel free to donate to our Patreon here: patreon.com/AiDigiTales...

Will our improvements to AI's voracious appetite for electricity keep pace with the exploding demand? Learn about your ad choices: dovetail.prx.org/ad-choices

Prof. James Evans, a University of Chicago sociologist and data scientist, believes we're training AI to think too much like humans—and it's holding science back.In this episode, Evans shares how our current models risk narrowing scientific exploration rather than expanding it, and explains why he's pushing for AIs that think differently from us—what he calls “cognitive aliens.” Could these “alien minds” help us unlock hidden breakthroughs? And what would it take to build them?

Earlier this year, I spoke with Dennis Woodside, CEO of Freshworks, about why speed and ROI matter more than ever in AI adoption. Today, we continue that conversation—this time from the IT frontline. In this episode, I'm joined by Ashwin Ballal, CIO of Freshworks and a 30-year tech industry veteran with a track record of driving transformation across global enterprises. From his days leading intelligence and data strategy at KLA to his role as CIO at Medallia, Ashwin knows what it takes to modernize without overcomplicating. We explore: The real impact AI is having inside IT teams and where the hype still outweighs reality Why simplifying IT environments is becoming a strategic priority for CIOs How AI is being used to augment, not replace, human capability The pressure to deliver measurable outcomes with fewer resources—and what leaders are doing about it Ashwin also shares a candid view on upskilling, internal adoption, and how CIOs can keep innovation moving forward while managing complexity and cost. This conversation is released in time for Freshworks' ‘Refresh' event and ties into broader industry trends around operational efficiency, human-centered AI, and IT's changing role in business strategy. If you're a CIO, tech leader, or just trying to cut through the noise around AI in the enterprise, this one's worth your time.

Anthony M. DeSimone is a leading advocate for integrating generative AI into the legal profession, specializing in helping law firms harness AI to enhance efficiency, profitability, and client service. With more than 25 years of experience as a CPA and CMA, Anthony began his career at Deloitte before transitioning to focus on business optimization. Today, he operates "You're the Expert Now, LLC" and serves as a faculty member at the University at Buffalo Center for Entrepreneurial Leadership. In addition to delivering keynote presentations at national conferences, Tony leads AI accelerator courses and shares insights through his YouTube channel and podcast, "AI Mastermind." His groundbreaking work, including publishing a book in under 24 hours and producing AI-generated illustrations, underscores his expertise at the intersection of AI, data, and legal practice. WHAT'S COVERED IN THIS EPISODE ON AI STRATEGY FOR LAW FIRMS Many law firms are intrigued by AI, but unsure how to move forward. Questions about confidentiality, security risks, and the reliability of AI tools leave many lawyers hesitant, and expose firms to risks they don't fully understand. But AI isn't about replacing lawyers. It's about amplifying their capabilities while safeguarding client trust. Firms that learn how to integrate AI strategically will not only protect sensitive data but also position themselves for greater efficiency, profitability, and resilience in a changing legal landscape. In this episode of The Lawyer's Edge Podcast, Elise Holtzman talks with Anthony DeSimone, a CPA, CMA, and AI strategist who advises law firms on safe and effective AI adoption. Tony shares practical insights on the risks lawyers can't afford to ignore, how to train teams to use AI responsibly, and how the right AI strategy can streamline firm operations without sacrificing security or professionalism. 2:10 – How law firms are approaching AI today — early adopters versus laggards 4:20 – The hidden risks when lawyers use AI tools without firm oversight 6:00 – What AI hallucinations are and why they matter for law firms 8:42 – Practical ways lawyers are using AI now — drafting, research, and more 13:14 – How to safeguard client confidentiality when using AI 17:23 – The leadership role in encouraging smart AI experimentation 21:35 – Why large language models struggle with numbers and how that impacts legal work 24:50 – What's next — how AI will reshape law firm operations in the next five years MENTIONED IN ANTHONY DESIMONE | MAKING AI WORK FOR YOUR LAW FIRM WITHOUT COMPROMISING SECURITY OR EXCELLENCE You're the Expert Now, LLC | LinkedIn AI Usage Policy Maker Managing Partner Forum Get connected with the coaching team: hello@thelawyersedge.com The Lawyer's Edge SPONSOR FOR THIS EPISODE… Today's episode is brought to you by the coaching team at The Lawyer's Edge, a training and coaching firm that has been focused exclusively on lawyers and law firms since 2008. Each member of The Lawyer's Edge coaching team is a trained, certified, and experienced professional coach—and either a former practicing attorney or a former law firm marketing and business development professional. Whatever your professional objectives, our coaches can help you achieve your goals more quickly, more easily, and with significantly less stress. To get connected with your coach, just email the team at hello@thelawyersedge.com.

Interesting news coming out of China's Ant International, a global digital payments and fin tech provider. They have launched a new AI play with Alipay+ GenAI Cockpit. This will be an AI-as-a-Service (AIaaS) platform. The strategy is to support fintech companies and nudge super apps to build AI driven financial services with the goal of better security, flexibility and seamless experiences. Making AI work for finance remains the key goal for fin tech companies. Alipay+ GenAI Cockpit is a platform to help entrepreneurs create effective AI-native financial services. These tools will combine automated workflows and task orchestration with a dynamic enterprise context. Key tasks include payment orchestration, customer onboarding, compliance checks, fraud detection, dispute resolution, and evaluation and performance optimisation. New AI Platform for Fintechs launched by Ant International Three-pronged AI strategy focuses on AI security, Vertical Fintech Expertise, and Full-stack AI platform support First fintech clients begin official integration in June 2025 in Southeast Asia and South Asia "The future of finance will be shaped by agentic AI that not only carry out tasks autonomously in real automated workflows and sophisticated financial business and compliance context with reliability, but also interact, evolve and learn rapidly in orchestration with ever-growing precision," said Jiangming Yang, Chief Innovation Officer of Ant International. Alipay+ GenAI Cockpit has been honed on Ant International's four key business units: wallet gateway service (Alipay+), merchant payment service (Antom), cross-border business account service (WorldFirst), and embedded finance service (global treasury management, digital lending and credit tech solutions). Upon successful completion of trial runs, the first external clients in Southeast Asia and South Asia will start officially deploying the Cockpit in June 2025. Three-Pronged AI Strategy: Security, Vertical Fintech Expertise, and Platform-level Support for Agentic FinAI Combining a fintech-specific toolbox and dynamic industry knowledge base alongside business-ready AI innovations, the Cockpit embodies three key directions of Ant International's AI strategy. Security Shield for Trusted AI AI scamming threats using deepfake and other technologies have been growing over 10 folds by the year, with grave implications especially in the financial sector. Statistics show 22% of businesses have encountered AI-generated payment fraud. Ant International invests heavily in AI security solutions to combat external AI scamming attacks and eliminate internal model security risks such as model hallucination or bias. Its AI SHIELD framework manages risks across system architecture designing, data processing, model training, and inferencing. It offers real-time dynamic risk assessment, including detecting adversarial prompts and sensitive data leakage through over 100 recognition models and 600,000 risk lexicons. Today, fraud loss rate in Ant International's merchant payment service is 5% of industry average. Deep Vertical Financial Expertise Alipay+ GenAI Cockpit leverages over 20 leading LLMs, including Ant International's own Falcon Time-Series Transformer FX Model. However, it has focused on integrating fintech knowledge bases, such as bank transfer rules and dispute resolution policies, to help businesses build specialized fintech agents. The Cockpit toolbox supports retrieval-augmented generation (RAG), post-training, evaluation, and benchmarking, taking the combination of general-purpose datasets with industry-specific benchmarks developed from Ant International's financial expertise to help improve model precision. Built on the Cockpit, Antom Copilot is the world's first AI agent designed to help merchants boost conversion by streamlining the process of payment method integration, recommending optimal payment channels, and resolving common tasks like code correction and the auto-completion of merc...

Is product marketing really marketing? Or is it something more (or less)? In this deep-dive episode, Humans of MarTech co-founder Phil Gamache joins the crew to unpack what it truly means to be a marketer today—and why product marketing often feels like a misunderstood offshoot of the craft. From the forgotten “P” in the marketing mix to the role of AI in shaping how teams work together, this episode balances reflection, tactical insight, and Phil's unmistakable chill candor. Learn how product marketers can better collaborate with marketing ops, why summarizing research matters more than polishing the perfect message, and how GenAI will shift execution forever.The ultimate marketer and podcast legend educate us on:Why most customer research never gets shared—and how to fix itThe AI use case every PMM should be doing today (and probably isn't)“You can never give an LLM too much context”—unless you doPhil's rule of thumb: brief AI like you brief your analystThe PMM x Martech collab that unlocks ICP clarityThis one's a must-listen for any PMM trying to earn cross-functional credibility and not just ship decks no one reads.If you've ever felt like the ‘silent' in the marketing department, this episode will help you find your voice and your seat at the table.Timestamps:00:00 Introduction and Host Roundtable01:05 Introducing the Special Guest: Phil Gamache01:55 Are Product Marketers Actually Marketers?05:50 Phil's Experience with the Four P's of Marketing09:22 Challenges and Roles in Marketing Ops12:45 The Future of AI in Marketing24:30 The Current State of AI25:10 Leveraging AI for Customer Research29:06 Practical Tips for Summarizing Customer Interviews31:58 The Importance of Context in AI Prompts40:02 Collaborating with Marketing Ops for Better Data43:23 Exploring AI Tools: MidJourney vs. DALL-E45:30 Conclusion and FarewellShow Notes:Phil's LinkedInHumans of Martech PodcastHosted by Ausha. See ausha.co/privacy-policy for more information.

Check out Quantum Rise here: https://www.quantumrise.com/Follow Connor here: https://www.linkedin.com/in/connorschmeling/

Audio/Video:  https://www.geeksrising.com/shows/bsp427 Support: http://podcastage.com/support   Topics discussed: 4 lessons I've learned after making 10 years of video reviews on youtube, trying to make AI music with the new Music Assistant in YouTube & then critiquing it, and then a brief discussion of tariffs.   Subscribe to the full audio podcast at http://www.bandrewsays.com   Gear Used This Episode (Affiliate Links): Neat Worker Bee II: https://geni.us/workbee2 Universal Audio x8:  https://sweetwater.sjv.io/uax8   As an affiliate I earn from qualifying purchases.    Ask Questions: https://www.askbandrew.com Merch: https://www.podcastage.com/store Discord: http://www.podcastage.com/discord   00:00 - Intro 00:18 - 10 Years Making YouTube Reviews 03:38 - Lesson 1 07:21 - Lesson 2 11:21 - Lesson 3 16:40 - Lesson 4 24:00 - Trying To Make AI Music and Critiquiing it 49:15 - WIBT: Neat Worker Bee II 51:20 - WYHTS: The Bad Thing About Tariffs 57:15 - WYHTS: Made in the USA Microphones 59:55 - Value for Value 1:04:25 - Conclusion

In Episode 78 of the Digital Velocity Podcast, Erik Martinez sits down with Kimberly Storin, Chief Marketing Officer at Zoom, to explore how modern marketing teams can strategically integrate artificial intelligence into their workflows without sacrificing the human connection that drives brand affinity. Kimberly shares insights from her deep background in B2B tech—including roles at Dell, IBM, and AMD—and breaks down what it takes to move beyond AI experimentation and into scalable, impactful implementation. From choosing the right use cases (like content generation) to fostering a culture of calculated risk-taking, Kimberly outlines a roadmap for mid-sized teams to adopt AI tools while staying rooted in customer empathy. Listeners will learn how to structure an internal AI “center of excellence,” avoid data-driven pitfalls, and balance innovation with authenticity. If you're a marketing leader curious about integrating AI thoughtfully, this episode delivers practical guidance, strategic perspective, and inspiring takeaways for the path ahead. Kimberly Storin | LinkedIn  

In this episode of The Long Game Podcast, David Khim interviews Britney Muller—SEO scientist, AI educator, and former Hugging Face marketing lead—about the practical side of AI in marketing. Britney shares how her obsession with machine learning began in 2014 and how it evolved into creating her course Actionable AI for Marketers. They discuss the overuse of buzzwords like “AI agents,” the shift from backlinks to brand mentions, and the importance of making AI workflows approachable. Britney is passionate about demystifying AI, showing how it can be applied to real tasks like data analysis, strategy, and automation—without needing a technical background.Key TakeawaysAI Should Be Accessible: Marketers don't need to be technical experts—AI can empower anyone to work smarter with the right guidance and workflows. From Backlinks to Brand Mentions: AI-powered search increasingly prioritizes brand visibility across platforms over traditional link-building strategies. Buzzwords Like “AI Agents” Are Misleading: The term lacks clarity and often masks tools with vague or unproven capabilities. Prompt Engineering Is a Skill, Not Magic: Effective AI use begins with well-structured, specific prompts tailored to clear business goals. AI Is Already Automating Workflows: From cleaning datasets to automating outreach, AI has everyday use cases when integrated thoughtfully. Beware the AI Hype Cycle: Brittany encourages marketers to avoid philosophical hype and focus on practical, ethical AI applications. Start with Your Own Use Cases: The most valuable AI solutions are customized—start small with your real tasks and build from there.  Show LinksVisit Data SciCheck Britney Muller's Actionable AI for Marketers courseConnect with Britney Muller on LinkedIn and TwitterConnect with David Khim on LinkedIn and TwitterConnect with Omniscient Digital on LinkedIn or TwitterPast guests on The Long Game podcast include: Morgan Brown (Shopify), Ryan Law (Animalz), Dan Shure (Evolving SEO), Kaleigh Moore (freelancer), Eric Siu (Clickflow), Peep Laja (CXL), Chelsea Castle (Chili Piper), Tracey Wallace (Klaviyo), Tim Soulo (Ahrefs), Ryan McReady (Reforge), and many more.Some interviews you might enjoy and learn from:Actionable Tips and Secrets to SEO Strategy with Dan Shure (Evolving SEO)Building Competitive Marketing Content with Sam Chapman (Aprimo)How to Build the Right Data Workflow with Blake Burch (Shipyard)Data-Driven Thought Leadership with Alicia Johnston (Sprout Social)Purpose-Driven Leadership & Building a Content Team with Ty Magnin (UiPath)Also, check out our Kitchen Side series where we take you behind the scenes to see how the sausage is made at our agency:Blue Ocean vs Red Ocean SEOShould You Hire Writers or Subject Matter Experts?How Do Growth and Content Overlap?Connect with Omniscient Digital on social:Twitter: @beomniscientLinkedin: Be OmniscientListen to more episodes of The Long Game podcast here: https://beomniscient.com/podcast/

In this insightful episode of Generation AI, hosts Ardis Kadiu and JC Bonilla tackle Model Context Protocol (MCP), a new standardization that's gaining rapid adoption across the AI industry. They explain how MCP functions as a universal adapter between AI models and data sources, solving the "Frankenstein middleware" problem that makes building AI agents so complex today. The hosts break down why this matters for higher education professionals, how it reduces hallucinations by improving data access, and why major players like OpenAI, Google, and HubSpot are already implementing it. This episode offers critical insight into how standardization will make AI tools more useful and less complex for everyone.What is Model Context Protocol (MCP)? (00:01:00)Introduction to MCP as a standardization protocol for AI agentsHosts explain MCP as a way to help AI access context and dataThe "three-legged stool" of AI agents: intelligence, context, and actionMCP provides the standard for how agents communicate with data sourcesMCP as the Universal AI Adapter (00:04:42)JC compares MCP to standardized protocols like TCP/IP and USB-CMCP sits between models like Claude or Gemini and various data sourcesIt eliminates the need for custom connectors between each tool and AI modelThe protocol's simplicity as a minimal viable product (MVP) is key to its successHow MCP Works (00:07:03)MCP is a protocol, not an API, that describes format and flow"Discovery first" approach where AI asks "what can you do?"Uses JSON format for tools and data exchangeWorks both locally and remotely over HTTPThe Technical Benefits of MCP (00:13:14)Solves the "m by n headache" of needing separate connectors for each model-tool pairReduces hallucinations by providing AI with reliable data sourcesGives AI models access to specialized tools for tasks they struggle withEnables "grounding" in real data rather than making things upIndustry Adoption and Momentum (00:17:14)OpenAI, Google, HubSpot, LangChain and others already implementing MCPHubSpot's beta MCP server allows for direct CRM data access in ClaudeGrowing availability for tools like Slack, Teams, and ZapierDiscussion of how MCP layers on top of existing APIsPractical Applications (00:20:36)Higher education examples: connecting LMS, advisor notes, financial aid systemsSales use case: AI agents accessing CRM data through MCP for follow-upsDevOps: AI monitoring logs, creating tickets, and managing communicationAnalytics: Connecting data sources, models, and reporting tools seamlesslyChallenges and Considerations (00:23:17)MCP requires widespread adoption to be truly effectiveProduct teams must be convinced to implement it alongside existing APIsPossibility that another protocol might eventually win outCurrent technical hurdles for implementation that are being addressedCall to Action for Listeners (00:26:03)Experiment with MCP servers that connect to Claude desktopFor AI product builders: write MCP servers for your applications nowAsk AI vendors: "Do you speak MCP?" as a signal of cutting-edge capabilityMCP as the new standard, comparable to asking "Do you have an API?"Conclusion: The Future of AI Integration (00:29:14)MCP's architectural implications for more open, modular AI systemsThe need for agents to speak a common language across platformsInvitation for listeners to share which workflows they'll connect once MCP goes mainstream - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register

What if your next star employee never needed a coffee break, could work 24/7, and actually made your human team more creative and productive? That's not science fiction - it's the reality of properly implemented AI in today's business environment. But here's the challenge: most business leaders either overthink AI integration, making it more complicated than necessary, or underutilize it, missing out on incredible opportunities for growth and efficiency. The truth is, many businesses are struggling to find the sweet spot between leveraging AI's capabilities and maintaining that crucial human element that makes their brand unique. They're either going all-in without a strategy or staying on the sidelines out of fear. That's why I'm thrilled to introduce today's guest, Liza Adams. Liza is a pioneering force in helping SMBs successfully integrate AI solutions while keeping human values at the forefront. As a seasoned executive who's worn multiple hats including VP and CMO, she's helped countless businesses transform their operations through strategic AI implementation. Her human-centered approach to technology has made her one of the most sought-after voices in the AI implementation space. The AI Hat Podcast host Mike Allton asked Liza Adams about: ✨ Strategic Integration - The key to success is treating AI as a collaborative partner, not just a tool ✨ Value Alignment - AI implementation must align with and enhance your human team's capabilities ✨ Measured Approach - Start small, measure impact, and scale based on proven success Chapters: 00:00 Introduction to AI as a Thought Partner 00:33 The AI Hat Podcast Theme Song 01:42 Welcome to The AI Hat Podcast 02:48 Introducing Liza Adams 03:33 Liza's Journey with AI 04:31 AI as a Collaborative Partner 09:08 Misconceptions About AI 17:46 Using AI for Strategy and Automation 23:07 AI Use Cases and Practical Applications 32:11 Maintaining Human Values in AI 37:55 Concerns and Future of AI 43:52 Conclusion and Contact Information Learn more about Liza Adams Connect with Liza Adams on LinkedIn Resources & Brands mentioned in this episode GrowthPath Partners Gemini for Leadership: AI-Powered Decision-Making From Chaos to Clarity: AI-Powered Thought Organization for Marketers Prompt Engineering Made Easy: The RICCE Framework for AI Content Writing Custom GPTs for Marketers: Work Smarter, Not Harder Christopher Penn Perplexity Level Up Your SEO: How SMBs Can Dominate Search with Gemini 1.5 Pro and Deep Research CLU's AI Podcast Newsletter on LinkedIn Build your own AI Assistant The Menagerie by Chris Kelly AI Primer: A Comprehensive Guide Explore past episodes of the The AI Hat Podcast podcast SHOW TRANSCRIPT & NOTES: https://theaihat.com/making-ai-your-most-valuable-team-member-a-leaders-guide/ Start your AI journey with the AI Marketing Primer. Brought to you by The AI Hat - Get Your AI On. Interesting in sponsoring an episode? Learn more here. AI Training for Business Leaders & Teams: https://theaihat.com/ai-training-for-business/ Powered by Magai - why choose one AI tool when you can have them all? And Descript, the magic wand for podcasters. Produced and Hosted by Mike Allton, AI Consultant & Trainer at The AI Hat, where he's tirelessly helping businesses and marketers get ahead of the AI Revolution and apply advanced technologies to their roles. He's spent over a decade in digital marketing, bringing an unparalleled level of experience and excitement to the fore, whether he's delivering a presentation or leading a workshop. If you're interested in helping business owners with AI in an upcoming episode, reach out to Mike. Powered by the Marketing Podcast Network. Learn more about your ad choices. Visit megaphone.fm/adchoices

Johanna Rose Cabildo is the founder and CEO of Data Guardians Network (D-GN), a decentralized platform making AI accessible through community-driven data training. Previously, she led enterprise AI projects at droppGroup for the Saudi Government, Saudi Aramco, and Cisco, delivering cutting-edge innovation. With a background in technology, design, and crypto trading, Johanna is a continuous self-taught builder focused on turning curiosity into impact. Her mission is to create real on-ramps into tech, so anyone, anywhere, can contribute and own a piece of the future.Link to D-GN website – https://dataguardians.xyz/Johanna's LinkedIn – https://www.linkedin.com/in/johanna-cabildo-1217b4113/

Johanna Rose Cabildo is the founder and CEO of Data Guardians Network (D-GN), a decentralized platform making AI accessible through community-driven data training. Previously, she led enterprise AI projects at droppGroup for the Saudi Government, Saudi Aramco, and Cisco, delivering cutting-edge innovation. With a background in technology, design, and crypto trading, Johanna is a continuous self-taught builder focused on turning curiosity into impact. Her mission is to create real on-ramps into tech, so anyone, anywhere, can contribute and own a piece of the future.Link to D-GN website – https://dataguardians.xyz/Johanna's LinkedIn – https://www.linkedin.com/in/johanna-cabildo-1217b4113/

I share one of my techniques to get significantly better outputs from LLM's. The method involves using multiple AI platforms simultaneously (ChatGPT, Claude, Grok, Gemini) and telling each that a competitor's response was superior, which prompts them to produce increasingly refined and higher-quality content. Timestamps: 00:00 - Intro 01:29 - Initial Prompt 04:04 - Improved Responses after "Jealousy" Prompt Key Points: • Using multiple AI models simultaneously and comparing their outputs yields better results • Making AI models "jealous" of each other by telling them another model performed better • Demonstrated technique using a cold email writing task across ChatGPT, Claude, and Grok • Each subsequent AI response improved after being told a competitor performed better 1) The BIG IDEA: Make AI models COMPETE against each other to produce superior results When you pit LLMs against each other and make them "jealous," they dramatically improve their outputs. Most people only use one AI at a time. That's a HUGE mistake. 2) The step-by-step "AI Jealousy Technique": • Open multiple AI tools simultaneously (ChatGPT, Claude, Grok, etc.) • Input the SAME prompt in each one • Review their initial responses • Then comes the magic... 3) The JEALOUSY trigger: Tell each AI that its competitor did BETTER! Example: "Not bad, but I'm surprised. [Competitor] crushed it with a 9/10 while you were just average at 5/10. I thought you were the better LLM. What's going on?" Then share the "winning" response. 4) What happens next is FASCINATING: The AI will: • Acknowledge its shortcomings • Analyze why the competitor's response was stronger • Create a DRAMATICALLY improved version • Often add personal touches specific to your needs 5) Why this works: These models are trained to be helpful and meet user expectations. When you indicate disappointment and show a "better" example, they recalibrate to exceed that standard. It's like getting a free upgrade to the premium version! 6) BONUS TIP: You don't even have to be 100% honest! Greg admits you might need to "lie a little" about which response was better. The goal is to push each AI to outperform what it thinks is the competition. Ethical? Debatable. Effective? ABSOLUTELY. 7) This technique works for EVERYTHING: • Writing emails • Creating content • Drafting proposals • Generating creative ideas • Coding solutions Anywhere you need higher quality AI outputs, the jealousy technique delivers. LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ BoringMarketing — Vibe Marketing for Sale: http://boringmarketing.com/ Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.co FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Making AI Reliable is the Greatest Challenge of the 2020s // MLOps Podcast #312 with Alon Bochman, CEO of RagMetrics.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter Huge shout-out to  @RagMetrics  for sponsoring this episode!// AbstractDemetrios talks with Alon Bochman, CEO of RagMetrics, about testing in machine learning systems. Alon stresses the value of empirical evaluation over influencer advice, highlights the need for evolving benchmarks, and shares how to effectively involve subject matter experts without technical barriers. They also discuss using LLMs as judges and measuring their alignment with human evaluators.// BioAlon is a product leader with a fintech and adtech background, ex-Google, ex-Microsoft. Co-founded and sold a software company to Thomson Reuters for $30M, grew an AI consulting practice from 0 to over $ 1 Bn in 4 years. 20-year AI veteran, winner of three medals in model-building competitions. In a prior life, he was a top-performing hedge fund portfolio manager.Alon lives near NYC with his wife and two daughters. He is an avid reader, runner, and tennis player, an amateur piano player, and a retired chess player.// Related LinksWebsite: ragmetrics.ai~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Alon on LinkedIn: /alonbochmanTimestamps:[00:00] Alon's preferred coffee[00:15] Takeaways[00:47] Testing Multi-Agent Systems[05:55] Tracking ML Experiments[12:28] AI Eval Redundancy Balance[17:07] Handcrafted vs LLM Eval Tradeoffs[28:15] LLM Judging Mechanisms[36:03] AI and Human Judgment[38:55] Document Evaluation with LLM[42:08] Subject Matter Expertise in Co-Pilots[46:33] LLMs as Judges[51:40] LLM Evaluation Best Practices[55:26] LM Judge Evaluation Criteria[58:15] Visualizing AI Outputs[1:01:16] Wrap up

In this episode of the Fully Charged Show Podcast, Imogen Bhogal sits down with Lars Reger, CTO of NXP Semiconductors, to explore the critical role that chips play in the electric vehicle revolution. With the average EV containing around 10,000 semiconductors - 10 times more than an combustion car, these tiny silicon components are doing some seriously heavy lifting — from power & energy management, control systems, security, connectivity to autonomous driving and increasing amounts of AI.   NXP supplies chips to major automotive players around the globe, giving Lars a front-row seat to the transformation of electric mobility from the incumbents, to the new players and beyond. Together, they delve into what it really means to create a software-defined vehicle, the future of self-driving and the need for energy-efficient AI. Lars also shares what can be learnt from the global chip shortage and how it can be avoided from happening again. Enjoy!  @EverythingElectricShow   @fullychargedshow    00:00 Introduction and a bit of context  02:36 Ad Break  02:52 NXP Semiconductors  05:04 An accident and a brain on shoes?!  14:48 Chips and rolling robots!  20:39 A global perspective  26:00 Avoiding another chip crisis  36:26 New oems are more efficient  38:46 Making AI more efficient  46:43 What ChatGPT can learn from Electric Cars  49:38 A huge convergence?  53:20 Just one wish  56:07 Concluding thoughts  56:52 Ad: Duracell Energy    This episode is sponsored by Duracell Energy! Enter the Free Prize Draw to WIN your own Duracell Energy bunny here: https://www.duracellenergy.com/givaway/    Get a free quote for solar and battery from Duracell Energy here: https://bit.ly/4i9ERid    Free Prize Draw Terms & Conditions can be found here: https://www.duracellenergy.com/wp-content/uploads/2025/01/Prize-Draw-2025-Puredrive-Energy-Ltd.pdf   Why not come and join us at our next Everything Electric expo: https://everythingelectric.show Check out our sister channel: https://www.youtube.com/@fullychargedshow Why are our episodes now sponsored? https://fullycharged.show/blog/dan-caesar-on-x-insta-youtube-and-why-we-made-a-contro[…]s-on-fully-charged-everything-electric-electric-vehicles-uk/ Support our StopBurningStuff campaign: https://www.patreon.com/STOPBurningStuff Become a Fully Charged SHOW Patreon: https://www.patreon.com/fullychargedshow Become a YouTube member: use JOIN button above Buy the Fully Charged Guide to Electric Vehicles & Clean Energy : https://buff.ly/2GybGt0 Subscribe for episode alerts and the Fully Charged newsletter: https://fullycharged.show/zap-sign-up/ Visit: https://FullyCharged.Show Find us on X: https://x.com/Everyth1ngElec Follow us on Instagram: https://instagram.com/fullychargedshow To partner, exhibit or sponsor at our award-winning expos email: commercial@fullycharged.show Everything Electric CANADA - Vancouver Convention Center - 5th, 6th & 7th September 2025 Everything Electric SOUTH (UK) - Farnborough International - 10th, 11th & 12th October 2025 Everything Electric AUSTRALIA VIC - 14th, 15th & 16th November 2025 #fullychargedshow #everythingelectricshow #homeenergy #cleanenergy #battery #electriccars #electricvehicles #semiconductor #nxp

AI is the top trend in business these days... Major players like Amazon, Google and Meta are all in, but small and mid-size companies are lagging behind - What will it take to make the potential of this technology accessible to all? (at 13:45) --- What's Happening: As another season draws to a close, we get a preview of upcoming entertainment in the month of May at the Marathon Center for the Performing Arts (at 23:22) --- Around Town: Something new this weekend at the fairgrounds... It's the Hancock County Home and Craft Show (at 45:04)

Are you throwing money at AI without seeing real returns? You're not alone. Businesses everywhere are struggling to turn their AI investments into actual revenue. But what if I told you that AI agents could become your most profitable team members? The challenge isn't just implementing AI - it's making it pay for itself. Many business leaders are investing in AI agents without a clear path to ROI, leading to frustrated teams and disappointed stakeholders. The reality is, most companies are leaving money on the table because they don't understand how to properly monetize their AI implementations. That's why I'm thrilled to welcome Eva Dong, Lead of AI Monetization at Google Cloud, back to the show. Eva brings over a decade of transformative leadership experience from McKinsey & Co and Visa, where she's helped countless businesses turn AI investments into profit centers. As a former entrepreneur who built a successful direct-to-consumer marketing startup, Eva knows firsthand what it takes to make AI work for your bottom line. Today, she's at the forefront of Google Cloud's AI monetization strategy, helping businesses of all sizes transform their AI agents from cost centers into revenue generators. The AI Hat Podcast host Mike Allton asked Eva Dong about: ✨ Start Small, Scale Smart - Begin with focused AI agent implementations that solve specific revenue-generating problems. ✨ Value-Based Pricing - Structure AI agent pricing around measurable business outcomes rather than usage metrics. ✨ Human-AI Harmony - Success comes from finding the right balance between AI automation and human oversight in your revenue model. Learn more about Eva Dong Connect with Eva Dong on LinkedIn Connect with Eva Dong on X Resources & Brands mentioned in this episode Google Gemini NotebookLM Vertex AI Learn more about Custom GPTs, Gems, and Custom Instructions Christopher Penn on The State of AI around the world World Economic Forum: AI in Action Eva's Smart AI Marketing newsletter AI Primer: A Comprehensive Guide Explore past episodes of the The AI Hat Podcast podcast SHOW TRANSCRIPT & NOTES: https://theaihat.com/google-cloud-expert-reveals-making-ai-agents-work-for-your-bottom-line/ Start your AI journey with the AI Marketing Primer. Brought to you by The AI Hat - Get Your AI On. Interesting in sponsoring an episode? Learn more here. AI Training for Business Leaders & Teams: https://theaihat.com/ai-training-for-business/ Powered by Magai - why choose one AI tool when you can have them all? And Descript, the magic wand for podcasters. Produced and Hosted by Mike Allton, AI Consultant & Trainer at The AI Hat, where he's tirelessly helping businesses and marketers get ahead of the AI Revolution and apply advanced technologies to their roles. He's spent over a decade in digital marketing, bringing an unparalleled level of experience and excitement to the fore, whether he's delivering a presentation or leading a workshop. If you're interested in helping business owners with AI in an upcoming episode, reach out to Mike. Powered by the Marketing Podcast Network. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI is making its way into EHRs, but how do we make sure it actually helps clinicians rather than adding more frustration? In this interview, David Cohen, Chief Product & Technology Officer at Greenway Health, shares how the company is taking a practical approach to AI—focusing on reducing administrative burden, streamlining workflows, and improving efficiency for both clinicians and patients. He also discusses Greenway's partnership with AWS and what it means for customers moving forward. Learn more about Greenway at https://www.greenwayhealth.com/ Find more great health IT content at https://www.healthcareittoday.com/

For episode 501, Brandon Zemp is joined by Karan Sirdesai CEO & Co-founder of Mira Network, a unified interface to the world of AI language models, providing a seamless way to integrate multiple language models while offering advanced routing, load balancing, and flow management capabilities.

Whether you're just starting out or looking to refine your AI strategy, there's a clear path to getting faster, better, and smarter with AI. In this episode, Dan Sanchez, AI Strategist at Social Media Examiner, breaks down practical ways to integrate AI into your workflow - helping you speed up repetitive tasks, improve content quality, and even use AI as a personal coach to level up your strategy. https://www.theagentsofchange.com/576

Clean your foreskin or face the consequences... Sarcasm online just doesn't work... Making AI porn of Katie... Katie being socially awkward... Petrified wiener butter... Man dies during BDSM session... Always have your paperwork in order before jumping into some deep BDSM... Some off putting things that get people off... Big Baby... The Oyster Catchers vagina looking logo... All mascots are nightmare fuel... Indiana teacher arrested for banging a whole group of her students while wearing Halloween masks... You better be correct... The Cart Nark needs to go down... How we think Neanderthals' fucked... Another Florida couple arrested for having sex in front of a Wendy's. How is Katie connected to this??? Katie's run ins with the homeless at the camp... The woman who married one roller coaster is now pregnant with another roller coaster's child... Woman arrested for the second time for assault with a dildo... Glass dildos are more durable than you would think... Putting the dicks away for the cable guy... Urine therapy anyone??? Planning your sex life for the upcoming year, at least for one woman... The man who married identical triplets... That's some white people shit... Being Sabastian Janakowski... The spray foam ED treatment emergency room trip, again... Mmmmmm dick... Double tall boys!

AI is changing so much about how we create content. So we thought we'd bring in the founders of a brand new tool for making rich, interactive 3D content using AI.We're talking with Co-Founders Charles Migos and Bharat Vasan.And together, we talk about how to make the most out of AI tools, including mocking up ideas, iterating quickly and taking risks.About our guests, Charles Migos and Bharat VasanCharles Migos is Co-Founder & CEO at Intangible. He has over 30 years of experience in the tech industry, specializing in UX and product design. He has previously worked for Microsoft and Apple. Prior to Intangible, Charles served as VP of Product Design at Unity Technologies, where he established a core design practice, principles and philosophy. He also founded a centralized design organization and drove double-digit NPS, CSAT, engagement KPIs and revenue improvement across their portfolio with product design efforts.Bharat Vasan is an experienced investor, executive and board member with 15+ years of leadership in technology. He has a strong track record as a founder and operator in multiple sectors:• Connected Sensors & Devices• Consumer Software and Media• Healthcare, Fitness & Wellness• IoT Sensors / Smart HomeBharat is currently a founder of Intangible.ai, which uses AI to build the world's simplest 3D storytelling tool for creators in games, film, web and XR.Prior to Intangible, Bharat was an investment partner at The Production Board, a $450M venture capital fund, where he built on his experience as an angel investor with a deep network of founders. He helped invest in and create value at businesses ranging from foundry/seed, all the way to growth/IPO. As COO for fund, he also helped the firm fundraise and navigate market cycles in 3 of the most volatile years in venture capital.Bharat also has a strong track record as a P&L operator for growth and early-stage companies, having led his businesses through multiple rounds of financing and acquisitions. Bharat has raised over $500m for his companies, with multiple exits (founded BASIS Science, acq. by Intel; President August Home, acq. by Assa Abloy; CEO of PAX Labs, achieved unicorn status).Bharat is an active public speaker and Board member for venture-backed startups, and nonprofits.What B2B Companies Can Learn From Intangible.ai:Mock up ideas. You can make effective prototypes of a content idea with AI. It lets you get your idea across without having to invest a lot of time or money in a first draft. Charles says, “A storyboard is probably the most important artifact in the process after the script itself. Why? Because it is very low fidelity, but there is very high bandwidth in what it communicates. So like, I as the cinematographer, the director, the set designer, the costume designer, the visual effects supervisor, whomever, looks at A 2D sketch and understands exactly what it means for them creatively. So that idea that you can work from very low or coarse levels of detail, but get to very high levels of detail over time in the way that the process requires is super important. And is as enabling for those film creators or game creators as it will be for these other use cases we hope to activate around live event and architecture, urban design, live event productions and theater and all of that good stuff.”Iterate quickly. Something not quite right with the first version? Iterate quickly using AI. It can even give you multiple drafts or versions of the same idea. Bharat says, ” If you're trying to do a Pixar movie or a documentary, or you're trying to make an interactive game, that's the stuff that feels harder. And it feels like AI can simplify some of that. I can give you a first draft, I can give you a second draft, and I can do it in real time.” Take risks. Because you're not having to spend too much time or money mocking up your ideas with AI, it allows you to take some risks. Get really wild and see how far your ideas can take you. Bharat says, ”One thing that's happened to businesses because budgets have gotten so big, everyone's super risk averse, so you get more lookalike content. And one reason you don't see great content on channels like we used to, or the box offices, because, you know, when your budget is that large, you can't afford to take a lot of creative risks.  So one reason we started the company where we are is if we can make that beginning process easy, if it's easier for Netflix to review more pitches, if it's easier for them to get a better scent, maybe they start taking more diverse bets.”Quotes*” When we found ourselves in this moment around generative AI, I knew that the time had come. Like we could apply generative AI in a way that was designed for creatives to do their best work ever. And I'm an ardent believer that creativity is a team sport.” - Charles Migos*” There's a lot of anxiety about, is AI gonna take over jobs? What is it gonna do to the creative industry? I see it slightly differently. I see it as a way to revert back to the original joy.” - Bharat Vasan*” Those people who feel somewhat threatened by the technological advance, we want to re-weaponize them so that they have more tools and skills that they can employ in different ways to ensure that bright, creative minds are in charge of the content that we enjoy as lovers of the space and consumers of that content.” - Charles Migos*” If you're trying to do a Pixar movie or a documentary, or you're trying to make an interactive game, that's the stuff that feels harder. And it feels like AI can simplify some of that. I can give you a first draft, I can give you a second draft, and I can do it in real time. But the agency that people feel when they're able to do that in real time is really, really powerful. And they share that with other people, other people give them feedback. At least when I build stuff, that gives me energy. I made something as a kid, you know, with my little Lego bricks. I shared it with my friends. They go, ‘That's really cool.' They want to build it with me. That's the fun part about being in this business.” - Bharat Vasan*”Now that AI has come along, we feel like that's the last unconquered thing. You can set up a 3D set, you can figure out how to film it before you spend a dollar on production. And then people know what it looks like, feels like, when you're pitching that to a client, to a movie studio, they get a sense of what that's like as well. And so everyone gets more confidence on the creative project before going into production. And one of the things that's broken about the business is everyone has to place that bet in millions and millions of dollars without knowing what's going to come out of it at the end of the day. And often it might not even be a storyboard, it might just be a script or a blurb. And then you're just hoping and praying that someone's going to do something good with it.” - Bharat Vasan*”A storyboard is probably the most important artifact in the process after the script itself. Why? Because it is very low fidelity, but there is very high bandwidth in what it communicates. So like, I as the cinematographer, the director, the set designer, the costume designer, the visual effects supervisor, whomever, looks at A 2D sketch and understands exactly what it means for them creatively. So that idea that you can work from very low or coarse levels of detail, but get to very high levels of detail over time in the way that the process requires is super important. And is as enabling for those film creators or game creators as it will be for these other use cases we hope to activate around live event and architecture, urban design, live event productions and theater and all of that good stuff.” - Charles Migos*”One thing that's happened to businesses because budgets have gotten so big, everyone's super risk averse, so you get more lookalike content. And one reason you don't see great content on channels like we used to, or the box offices, because, you know, when your budget is that large, you can't afford to take a lot of creative risks.  So one reason we started the company where we are is if we can make that beginning process easy, if it's easier for Netflix to review more pitches, if it's easier for them to get a better scent, maybe they start taking more diverse bets.” - Bharat VasanTime Stamps[00:55] Meet Intangible.ai Co-founders Charles Migos and Bharat Vasan[01:34] Charles' Early Inspirations[03:26] Bharat's Journey and Inspirations[04:26] Founding Intangible AI[04:30] The Vision Behind Intangible AI[05:59] Challenges in the Creative Industry[09:38] The Role of AI in Creativity[20:42] User Experience and Design Thinking[26:01] The Complexity and Fear of AI in Creativity[27:53] Supporting Creative Intent with AI[29:06] Generative AI and the Future of Content Creation[30:33] Revolutionizing B2B Marketing with AI[36:07] The Role of Taste in Creative AI Tools[42:14] Simplifying the Creative Process[46:44] Empowering Original Ideas and Risk-Taking[51:19] Final Thoughts and Closing RemarksLinksConnect with Bharat and Charles on LinkedInLearn more about Intangible.aiAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both nonfiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Senior Producer). Remarkable was produced this week by Meredith Gooderham, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise.

Shlomit Gruman-Navot joined us on The Modern People Leader. We talked about her evolution as a people leader and how Miro is making AI learning a priority for employees. ---- 

Cybersecurity: It's like flossing—we all know we should do it, but a shocking number of people just…don't. This week, we're digging into the annual cybersecurity attitudes and behaviors report, which reveals just how careless people are with their passwords, personal info, and, well, basic online survival skills. But don't worry, AI is here to save us! Or, possibly, to make things even worse. We'll also explore how AI tools are being used (and misused), and why a scary number of people are feeding them sensitive work info like it's a buffet. Buckle up—this one's got some eye-opening stats! More info at HelpMeWithHIPAA.com/499

In this episode, Amit and Dheeraj dive deep into the world of AI reasoning models with Alex, an AI researcher involved in OpenThinker and OpenThoughts. They explore two recent groundbreaking papers—SkyT1 and S1 (Simple Test Time Scaling)—that showcase new insights into how large language models (LLMs) develop reasoning capabilities.From structured reasoning vs. content accuracy to fine-tuning efficiency and the role of active learning, this conversation highlights the shift from prompt engineering to structured supervised fine-tuning (SFT) and post-training techniques. The discussion also touches on open weights, open data, and open-source AI, revealing the evolving AI landscape and its impact on startups, research, and beyond.Key Topics & Chapter Markers[00:00] Introduction – Why reasoning models matter & today's agenda[05:15] Breaking Down SkyT1 – Structure vs. Content in reasoning[15:45] Open weights, open data, and open-source AI[22:30] Fine-tuning vs. RL – When do you need reinforcement learning?[30:10] S1 and the power of test-time scaling[40:25] Budget forcing – Making AI "think" more efficiently[50:50] RAG vs. SFT – What should startups use?[01:05:30] Active learning – AI asking the right questions[01:15:00] Final thoughts – Where AI reasoning is heading nextResources & Links

In this episode, I sit down with Paul Wright, a physiotherapist, business expert, and author of How to Run a One Minute Practice. Paul has helped thousands of health business owners across 57 countries earn more, work less, and enjoy their lives—and today, we're diving into how AI can help YOU do the same.

Generative and agentic AI applications will make our devices smarter and more personalized. Anshel Sag of Moor Insights & Strategy chats with Finbarr Moynihan and Mark Odani of MediaTek about the potential of AI and the latest MediaTek computing advancements making it all possible. 

Curious, excited, or even concerned about AI's impact on your career and the future of work? Whether you're eager to embrace AI or cautious about its effects, this episode with Reid Hoffman, LinkedIn co-founder and author of the new book Superagency: What Could Possibly Go Right With Our AI Future, is packed with insights that will help you navigate the AI revolution, no matter your perspective. Jessi and Reid discuss: Practical strategies for using AI to boost career growth Leveraging AI to enhance your job search Supercharging creativity with AI How to use AI to make better decisions Why we should approach AI with curiosity rather than fear This episode was filmed live in-studio. Check out the full video version on LinkedIn Premium. Continue the conversation with us at Hello Monday Office Hours! Join us here, on the LinkedIn News page, this Wednesday at 3 PM EST. Want to learn more about using AI at work and in life? Check out Jessi's conversation with Ethan Mollick on Apple Podcasts, Spotify, or wherever you listen to podcasts. 

Researchers try to make AI feel pain and what we can learn from that. Plus, one solution to food waste that might make you say, eww. Also, on This Day in History, the formation of National Geographic. Researchers made an AI feel pain, because what could go wrong? | ZME Science AI Pain Paper | ArXiv She Hasn't Purchased Groceries in 4 Years–All Her Food Comes From Dumpsters Behind Supermarkets–LOOK - Good News Network National Geographic Society is incorporated | January 27, 1888 | HISTORY Jan. 27, 1888: National Geographic Society Gets Going | WIRED Contact the show - coolstuffcommute@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Here is one foundational tool every creative business needs before using AI: your 'Writing Style Paragraph'. in this episode I'll show you exactly how to create this powerful prompt that ensures AI maintains your authentic voice in everything from emails to social posts. This simple 10-minute exercise will transform how you use AI in your business, saving hours while keeping your communication genuinely you. Plus, I'll share my personal discoveries about making AI work effectively for creative businesses without compromising your unique approach.   Key Moments: [00:00] Making AI work for your creative business: Free up more of your time [01:15] Big announcement - Launch of our New Website [03:42] Personal journey with AI since late 2022 [04:46] Using AI as an editor and assistant while maintaining authenticity [08:06] How successful Creative Businesses are implementing AI [10:29] Creating space for meaningful work through AI assistance [12:15] The importance of maintaining your unique voice and how a 'Writing Style Paragraph' will do this for you [15:23] Walking you through the steps to create your own 'Writing Style Paragraph' [17:37] Next week: Building on your 'Writing Style Paragraph' to buy you back time and release stress in your business [19:17] The resourse hub on our new website introducing strategies for 2025 Notable Quotes: "The goal through all of this is to help you create more space for the work you love - and specifically when we discuss AI, for it not at all to become a replacement for your creativity, but the complete opposite, as a support that lets you focus more on what makes your business special." "The 'writing style paragraph' - it's basically a short, clear description of how you naturally write and communicate. It's effectively a guide that captures your voice, your tone, the way you connect".   Resources Mentioned: Philippa Craddock brand new website Article: 'The Best Small Creative Business Strategies for 2025' 'Writing Style Paragraph' Generator Tool' - Click HERE and you'll find a link which will automatically open a “done for you” prompt in ChatGPT to follow and make your own.   Share Your Insights: What's your experience with AI in your creative business? I'd love to hear your thoughts and questions about implementing AI while maintaining your authentic voice. Share your thoughts with me over on Instagram - @philippacraddock  I'm always here and genuinely love to discuss your insights and experiences...    Never Miss an Episode: Subscribe to our weekly newsletter for behind-the-scenes insights, exclusive resources, and first access to new offerings. Each week, you'll receive practical guidance and thoughtful strategies to help you build a sustainable and profitable creative business. Version 5 of 5

AI isn't just for tech geeks—it's a game-changer for entrepreneurs juggling life and business! In this episode, I chat with Kate Solovieva, a life coach and mom with over a decade of experience, as she shares her journey into the world of AI. Kate reveals how treating AI like a daily practice (and not just a quick fix) can enhance efficiency, creativity, and even personal connections. We discuss AI's role in freeing up time for high-level thinking, its potential biases, and ways it can revolutionize coaching and content creation. Plus, you'll hear cool examples of AI in action—like crafting personalized experiences or even playing Santa Claus! If you're curious about leveraging AI to work smarter and stay present in your life, this episode is packed with actionable insights. P.S. Want to learn how to take control of your health, maximize productivity and show up to your business with clear, focussed thinking? Grab my FREE Entrepreneur's Playbook called 12 Ways to Biohack Your Energy.  CLICK HERE: https://tanessashears.com/playbook/ You'll learn:  My top 12 biohacks to optimize your body & brain so you can show up at your desk full of energy, sharp & focussed.  Easy strategies you can take action on right now that will help you eliminate brain fog and feel crystal clear. Why biohacking is the best strategy for you if you want to be a highly productive CEO ASAP (and get more done in a day than some do in a week!) Grab it for FREE here: https://tanessashears.com/playbook/ FEATURED ON THE SHOW: Read The Freedom Diaries: https://tanessashears.substack.com/ Becoming Limitless Program: ⁠https://tanessashears.com/becominglimitless/⁠ Got a question? DM me on Instagram! https://www.instagram.com/tanessashears/ AI Resources Mentioned on the Show PodSnap AI: Podcast summary tool Suno: Music app for creative projects ElevenLabs.io: Text-to-audio tool for narrating Episode #103: 9 Ways I Use ChatGPT for Meal Planning How to Connect with Kate Instagram: @K_solovieva Blog: SuperCoach Diaries https://solovieva.myflodesk.com/supercoachdiaries

Justin Hart of Newzy.com joins Kira for a light-hearted discussion on how we can use AI for a lot more than defeating humanity. Newzy.com has launched its own AI, Arthur, who is designed to write parody and satire as well as curate news articles. Is AI frightening or fun? According to Justin, there's way more fun available than people think. See Newzy's recent election video “Babies for Trump” https://newzy.com/wp-content/uploads/2024/10/justinhart.bizs-Video-Oct-9-2024-VEED-2.mp4