A Beginner's Guide to AI

• The Terminator Movies: From Sci-Fi Nightmare to AI Safety Blueprint // REPOST

  // This is a repost of a great episode - and why, you ask yourself, did he not publish a new episode? Because you are nearly the only one listening to my podcast on the Thanksgiving weekend 😂The Terminator films have profoundly shaped how society thinks about artificial intelligence. This episode analyzes concepts like artificial general intelligence through the lens of Skynet, the malevolent AI in the movies. We explore real-world AI safety research inspired by cautionary sci-fi narratives. The episode prompts a thoughtful examination of how we can develop advanced AI that enhances humanity rather than destroying it. With ethical, responsible innovation, we can steer the future toward an AI-enabled world that benefits all.📧💌📧 Tune in to get my thoughts and all episodes, don’t forget to ⁠subscribe to our Newsletter⁠.📧💌📧About Dietmar FischerHost of Beginner’s Guide to AI. Economist and digital marketer helping teams turn AI from hype into workflows.Training, talks, and courses with thousands of participants. 🎙️Go to ⁠argoberlin.com ⁠to see how we can help you!This podcast was generated with the help of artificial intelligence. We do fact check with human eyes, but there might still be hallucinations in the output.Music credit: "Modern Situations by Unicorn Heads"

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• Democratizing AI: How Nebius Is Making AI Infrastructure Accessible for Everyone

  In this episode of A Beginner’s Guide to AI, host Dietmar Fischer talks with Roman Chernin from Nebius, about how AI democratization is reshaping the enterprise world. Roman reveals what it really takes to move from prototype LLMs to reliable, scalable AI platforms - and why most companies don’t need to train their own models to harness AI’s potential. 📧💌📧 Tune in to get my thoughts and all episodes - don’t forget to subscribe to our Newsletter: ⁠beginnersguide.nl⁠ 📧💌📧From his early years at Yandex, where machine learning quietly powered maps and search, to helping Nebius build global AI infrastructure, Roman’s story is a blueprint for how cloud platforms can make AI accessible to everyone. He explains how Nebius Token Factory enables businesses to deploy AI applications fast, how to navigate the minefield of compliance and cost, and why real success in AI comes from better collaboration and iteration — not from “being a genius.” 🚀 Key HighlightsWhat democratizing AI means for modern enterprisesWhy infrastructure scaling 10× a year forces constant reinventionHow Nebius bridges the gap between OpenAI and open-source ecosystemsMaking AI usable for non-technical teams through better developer experienceWhy Europe still has a chance to catch up in the AI raceHow AI changes leadership, creativity, and collaboration💡 Quotes from the Episode“The goal isn’t to build more data centers - it’s to make AI usable for people who aren’t AI experts.”“You don’t need your own LLM. You need a problem to solve - and the right infrastructure to do it.”“If you want to scale a system ten times, you don’t fix it - you rewrite it.”“Compute is becoming the new electricity, but we don’t want to be just a utility company.”“The real bottleneck isn’t GPUs - it’s making AI usable, compliant, and cost-efficient for real businesses.”“We can’t forbid AI use; it’s already here. The real challenge is helping society adapt fast enough.”🧾 Chapters00:00 Introduction - Welcoming Roman Chernin to the show00:28 Why AI? Roman’s early journey and Yandex years01:24 What Nebius does: Building AI infrastructure for builders03:02 The challenge of scaling AI infrastructure 10× per year05:06 From utility computing to full-stack AI platforms07:15 Why developer experience matters for AI growth09:45 How enterprises move from OpenAI to open-source models12:10 Compliance, data sovereignty, and enterprise security14:55 Cost, latency, and optimization challenges in AI scaling16:50 Which industries are adopting AI fastest18:40 Democratizing AI for mid-sized businesses19:35 Nebius Token Factory: Enabling custom AI APIs22:14 Open-source vs closed models - the real trade-offs26:03 The U.S. vs. European AI market and regulation31:20 How governments can drive AI demand (not just infrastructure)33:58 How AI changes leadership, creativity, and collaboration37:40 Why iteration beats genius - and how AI accelerates it38:56 Roman’s personal “wow moment” with AI video generation40:55 The real risks of AI - and how fast society must adapt43:35 Final thoughts and where to find Nebius and Roman Where to Find Roman Chernin and NebiusNebius WebsiteNebius Token FactoryRoman Chernin on LinkedInMusic Credit: “Modern Situations” by Unicorn Heads

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• The Work Slop Epidemic: Monica Marquez Explains How to Fix AI at Work

  Human-Centered AI at Work with Monica Marquez: A Practical Adoption PlaybookIf you’re still treating AI like a shiny gadget, this episode will be a polite intervention.Monica Marquez (Flipwork) shows how to build a human-centered AI adoption playbook that actually sticks.We dig into AI as a partner, not a tool; psychological safety for teams; and the one-workflow-per-month rule that turns experimentation into measurable AI ROI.You’ll learn how to avoid work slop, build agentic workflows, and translate machine output into authentic intelligence that reflects your expertise. 🤖What you’ll learnShift identity first: “I experiment with AI daily.”Redesign workflows before adding tools.Create psychological safety so teams can try, fail, and improve.Kill work slop and layer your context for quality.Build agentic workflows that scale judgment and consistency.Track time saved and quality gains to prove ROI.📧💌📧 Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter.📧💌📧Quotes from the Episode“The real danger isn’t killer robots. It’s disengaged humans.”“Don’t ship work slop. Turn artificial intelligence into your authentic intelligence.”“Redesign your workflow first, then layer AI. Otherwise you just automate the old mess.”“Stop treating AI like a tool. Treat it like a partner.”“Adoption starts with identity: I experiment with AI every day.”“Use AI for five-dollar tasks so you can solve five-thousand-dollar problems.”Chapters00:00 Welcome, who is Monica Marquez and what is Flipwork02:59 AI as a partner, not a tool05:34 Practical example: recruiting, prompts, and human judgment07:02 Generational beliefs, “artificial intern,” and mindset shifts11:24 From effort to impact: redefining success with AI12:46 Redesigning workflows before layering AI14:44 Psychological safety and daily experiments16:55 Leaders model usage, run side-by-side experiments18:37 Avoiding “work slop” and building authentic intelligence21:44 Doing more of your “zone of genius” with AI24:39 The one-workflow-per-month rule29:25 Industry adoption patterns, lessons from Blockbuster vs Netflix33:12 Personal AI use cases and voice-based workflows36:32 Matrix, Terminator, and Monica’s real fear: disengaged humans37:58 Where to find Monica and FlipworkWhere to find Monica MarquezHer Agency: FlipworkMonica’s site: themonicamarquez.comNewsletter: Ay Ay Ay, AIAbout Dietmar FischerHost of Beginner’s Guide to AI. Economist and digital marketer helping teams turn AI from hype into workflows.Training, talks, and courses with thousands of participants. 🎙️Go to argoberlin.com to see how we can help you!Music credit: “Modern Situations” by Unicorn Heads 🎵

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• Why ChatGPT Sounds Generic - It’s Addicted to Being Average

  AI’s Biggest Secret: It’s Addicted to Being AverageLarge Language Models are masters of fluency but victims of probability. In this episode, Professor GePhardT unpacks why averaging—inside embeddings, attention mechanisms, and token probabilities—quietly drains AI of originality. Through humour, insight, and one brilliant case study from the University of Tübingen, we explore how “safe” AI outputs create the illusion of intelligence while smothering creativity.From mathematical foundations to philosophical implications, this episode challenges listeners to rethink what “intelligence” really means — and to look for brilliance not in the middle, but at the edges.📌 Key Takeaways:Why LLMs default to safe, predictable outputsHow averaging erases nuance in AIReal-world evidence of AI’s blind spots in reasoningTechniques to push models beyond the middle ground📧💌📧Tune in to get my thoughts and all episodes — and don’t forget to subscribe to our Newsletter: beginnersguide.nl📧💌📧💡 Quotes from the Episode:“AI doesn’t need to be smarter. It needs to be braver.”“The tragedy of the average is that it sounds right but feels wrong.”“A bold sentence is an act of rebellion against probability.”Where to find Professor Gephardt:🌐 We help you figure out your AI game: argoberlin.comMusic credit: “Modern Situations” by Unicorn Heads 🎵

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• The Future of Coaching: How AI Is Changing Coaching // REPOST

  AI tools for business coaching are transforming how leaders and professionals unlock performance and personal growth. In this episode of Beginner’s Guide to AI, Lisa Turner of CETfreedom joins Dietmar Fischer to share real-world strategies and 40+ actionable AI tools that help coaches, entrepreneurs, and business leaders boost results. 📧💌📧Ready to take your business to the next level? Subscribe for more AI strategies, share your questions in the comments, and visit our website for free resources. Don’t miss exclusive content in our newsletter—sign up today: beginnersguide.nl📧💌📧Learn how practical AI can revolutionize business processes, streamline leadership, and enhance productivity.Whether you want to overcome procrastination, empower your team, or drive personal development, this episode delivers proven approaches and expert insights.💡 Key takeaways:• Learn top AI tools for business coaching• Discover AI techniques to beat imposter syndrome• Explore AI strategies for leadership development• Find practical uses for AI in personal growth• See real examples of AI-ified coaching processes🧾 Chapters (experimental):00:00 – Welcome & Guest Introduction02:30 – Why AI? Lisa’s Journey from Engineering to Coaching07:10 – First Steps with AI: Overcoming Skepticism12:00 – Building 40+ AI Tools for Coaches18:45 – Busting Procrastination & Limiting Beliefs with AI24:20 – Empowering Leadership & Journaling via AI30:00 – The “Doctor Who” Mindset for Innovation35:15 – Trends: How Coaches Use AI in 202540:05 – Final Insights & Where to Find Lisa👉 Quotes:• "I found a way to AI-ify personal growth and leadership tools for real business results."• "If you want to grow fast, you have to experiment boldly with new technology."🔗 Where to find Lisa Turner:Go to Lisa's website and get a free book (a real one!) at: www.cetfreedom.com👩 Or follow Lisa on social media:TikTok: www.tiktok.com/@cetfreedomInstagram: www.instagram.com/cetfreedomFacebook: www.facebook.com/cetfreedomLinkedIn: www.linkedin.com/company/cetfreedom---🎵 Music credit: "Modern Situations" by Unicorn Heads

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