A Beginner's Guide to AI

Dietmar Fischer

"A Beginner's Guide to AI" makes the complex world of Artificial Intelligence accessible to all. Each episode asks someone working with AI about what they do and how AI can help you. Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us as we take the first steps into AI 🚀 Hosted on Acast. See acast.com/privacy for more information.

  1. Why AI Could Become the Next Big Economic Divider

    3 HR AGO

    Why AI Could Become the Next Big Economic Divider

    The Rising Cost of Intelligence: What Expensive AI Means for the World Artificial intelligence is reshaping how we work, learn, and create. But as frontier AI models become more capable, their costs are rising faster than ever. This episode of A Beginner’s Guide to AI dives into the global AI divide, exploring how price, compute, infrastructure, and access are quietly determining who benefits from AI and who risks falling behind. Listeners will discover why advanced AI models cost so much to train and run, how high prices can concentrate innovation in wealthy institutions, and why access to strong models is becoming a new form of economic and educational inequality. Through vivid examples and clear explanations, Professor Gephardt guides listeners through the real-world consequences of expensive AI and what can still be done to ensure a more inclusive future. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl 📧💌📧 About Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Quotes from the Episode: “When intelligence becomes expensive, opportunity becomes exclusive.”“A great model is useless if only a handful of people can afford to use it.”“If AI becomes a privilege, innovation shrinks to the size of the elite who control it.” Chapters 00:00 The Hidden Price of Intelligence 04:12 Why Cutting-Edge AI Is So Expensive 12:47 How AI Costs Create a Global Divide 21:30 Real-World Case Studies on AI Access 32:18 Practical Ways to Narrow the AI Gap 39:42 Final Thoughts and Key Lessons Music credit: "Modern Situations" by Unicorn Heads 🎧✨ Hosted on Acast. See acast.com/privacy for more information.

    33 min

  2. 2 DAYS AGO

    Context Rot Explained: Why AI Slowly Drifts Away From Reality

    Context rot is one of the most underestimated risks in artificial intelligence today. In this episode of A Beginner’s Guide to AI, we explore how AI systems trained on static data slowly drift away from reality while continuing to sound confident, helpful, and persuasive. You’ll learn why large language models struggle with time, why feeding more information into AI can backfire, and how outdated knowledge quietly sabotages decisions in marketing and business. This episode explains the difference between timeless principles and perishable insights, and why trusting AI without checking freshness can cost credibility and money. Key topics include context rot in AI, outdated training data, long context window limitations, AI decision-making risks, and practical strategies like retrieval-augmented generation and smarter context engineering. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: beginnersguide.nl 📧💌📧 About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Quotes from the Episode “Fluency is not accuracy, even though our brains desperately want it to be.”“More context doesn’t make AI smarter, it often makes it confused.”“AI confidence is cheap. Verification is expensive.” Chapters 00:00 Context Rot and the Illusion of Smart AI 05:42 Why AI Knowledge Freezes in Time 12:18 When More Context Makes AI Worse 19:47 Business and Marketing Risks of Context Rot 27:05 How to Reduce Context Rot in Practice 34:40 What Humans Must Do Better Than AI Music credit: "Modern Situations" by Unicorn Heads 🎧 Hosted on Acast. See acast.com/privacy for more information.

    27 min
  3. Machine Learning: How AI Really Learns

    4 DAYS AGO

    Machine Learning: How AI Really Learns

    Machine learning is everywhere, yet rarely understood. In this episode of A Beginner’s Guide to AI, we strip away the hype and explain how machine learning actually works, why it’s so powerful, and where it quietly goes wrong. You’ll learn how machines are trained on data rather than rules, why predictions are not understanding, and how real-world systems can produce unfair outcomes even when they look accurate. A real healthcare case shows how a cost-based algorithm systematically underestimated medical need, revealing the hidden dangers of proxy metrics. This episode covers machine learning basics, ethical AI, algorithmic bias, fairness, and transparency in a way that is accessible to beginners and useful for professionals. 📧💌📧 Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguide.nl 📧💌📧 Quotes from the Episode “Machine learning gives you what you measure, not what you value.”“The algorithm didn’t invent bias. It learned it efficiently.”“A perfect prediction of the wrong thing is still failure.” Chapters 00:00 Machine Learning Without the Myth 04:12 How Machines Learn From Data 10:45 Types of Machine Learning 18:30 The Cake Example 26:05 Healthcare Case Study 36:40 Ethics, Bias, and Proxies 45:50 Final Takeaways About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him. Music credit: Modern Situations by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    26 min
  4. What The Heck Is Inference? That's Where The Magic Happens 🚀

    5 DAYS AGO

    What The Heck Is Inference? That's Where The Magic Happens 🚀

    REPOST due to low podcast listener activity - if you listen now, you are the exception 😉 Ever wondered how Netflix knows exactly what you'll binge next or how big brands like Delta Air Lines turn multimillion-dollar sponsorships into concrete sales? Welcome back to A Beginner's Guide to AI, where today we're uncovering the fascinating world of AI inference—the secret sauce behind machine-made predictions. --- --- --- A word from our Sponsor: Sensay creates AI-powered digital replicas to preserve and share individual and organizational knowledge, turning it into scalable, sustainable, and autonomous wisdom. Visit Sensay at ⁠⁠⁠⁠⁠⁠⁠Sensay.io⁠⁠⁠⁠⁠⁠⁠ And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠⁠⁠! --- --- --- Professor Gephardt, with his usual charm and wit, breaks down precisely how AI learns from past data to tackle new, unseen scenarios, turning educated guesses into powerful, profitable insights. Expect engaging analogies—from fruit-loving robots to cake-tasting mysteries—and real-life case studies, like Delta’s remarkable $30 million Olympic success story powered by AI. Plus, practical tips on how to spot AI inference in your daily digital life and even how to experiment with your own AI models! Tune in to get my thoughts, and don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! This podcast was generated with the help of ChatGPT and Mistral. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice. Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    18 min
  5. Why AI Needs a Million Cat Photos and You Don’t

    28/12/2025

    Why AI Needs a Million Cat Photos and You Don’t

    REPOST DUE TO WRONG AUDIO TRACK. Changed it, but many may have missed the right episode. Is intelligence something we’re born with, or do we learn everything from scratch? That’s not just a question for philosophers - it’s at the core of artificial intelligence today. In this episode ofA Beginner’s Guide to AI, we explore the great debate between nativism and deep learning. Nativism suggests that some knowledge is built-in, like the way babies instinctively pick up language. Deep learning, on the other hand, argues that intelligence comes purely from experience - AI models don’t start with any understanding; they learn everything from massive amounts of data. We break down how this plays out in real AI systems, from AlphaZero teaching itself to play chess to ChatGPTGPT mimicking human language without actually understanding it. And, of course, we use cake to make it all crystal clear. Tune in to get my thoughts, and don’t forget tosubscribe to our Newsletter at beginnersguide.nl This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it’s read by an AI voice. Music credit:"Modern Situations" by Unicorn Heads. Hosted on Acast. See acast.com/privacy for more information.

    18 min
  6. Most “AI” Tools Aren’t Intelligent at All. They’re Just Automated Workflows

    26/12/2025

    Most “AI” Tools Aren’t Intelligent at All. They’re Just Automated Workflows

    AI vs. Automation: Why Repetitive Marketing is Failing REPOST due to low podcast listener activity - if you listen now, you are the exception 😉 Ever received the same email twice—word for word, from two different people? That’s not AI, that’s bad automation. And it happens way more often than it should. In this episode, we break down the key difference between automation and artificial intelligence—why one just follows rules while the other actually thinks. With a real-world case study straight from my inbox, we’ll expose how businesses are unknowingly damaging their credibility with mindless automation and what they could do differently with AI. If you’re running digital marketing, email campaigns, or even PR outreach, this is a must-listen. Stop the spam, start thinking smarter. Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter! This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice. Music credit: "Modern Situations" by Unicorn Heads. Hosted on Acast. See acast.com/privacy for more information.

    18 min
  7. 🔮Predictive AI: Your Invisible Fortune-Teller // REPOST

    21/12/2025

    🔮Predictive AI: Your Invisible Fortune-Teller // REPOST

    Ever wonder how Netflix knows your next binge-watch, or why your bank spots fraud before you do? In this lively episode of A Beginner’s Guide to AI, Professor GePhardT lifts the lid on predictive AI—the hidden tech wizard quietly shaping our daily lives. From forecasting retail trends at Target to critical healthcare interventions, predictive AI isn't just predicting the future; it's already shaping it. But there’s a catch: with great power comes the thorny challenge of bias and ethics. Join the fun as we untangle how predictive AI differs from generative AI, explore its surprising influence in everyday situations (cakes included!), and sharpen our own predictive skills through hands-on activities with Google Trends. Plus, a reality check from AI pioneer Pedro Domingos reminds us why understanding this tech matters—because computers might already run more than we'd like to admit. Tune in to get my thoughts and all the episodes: don't forget to ⁠subscribe to our Newsletter⁠ 💌 Want to get in contact? Write me an email: podcast@argo.berlin This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice from ElevenLabs. Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    18 min
  8. The Sandman Warned Us About AI - 200 Years Ago!

    19/12/2025

    The Sandman Warned Us About AI - 200 Years Ago!

    Artificial intelligence has become incredibly convincing. It talks smoothly, reacts instantly, and often feels surprisingly human. In this episode of A Beginner’s Guide to AI, Prof. GepHardT explores why that feeling can be misleading — and why it matters. Drawing on literature, psychology, and real-world AI design, the episode explains how modern AI systems simulate intelligence without understanding, why humans instinctively project emotions onto machines, and where ethical risks begin when appearance replaces clarity. This is an accessible, practical episode for anyone who wants to understand AI without getting lost in jargon or hype. 📧💌📧Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguide.nl📧💌📧 Chapters00:00 When AI Feels Alive04:12 The Olympia Effect and Human Projection10:05 What AI Actually Does and What It Doesn’t18:40 Why Humans Trust Machines26:30 Ethical Risks of Emotional AI34:10 How to Stay Clear-Headed Around AI Quotes from the Episode “AI doesn’t understand you — it performs understanding.”“The danger isn’t smart machines, it’s trusting fluent ones.”“When intelligence looks alive, that’s when it needs the most scrutiny.”About Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at ArgoBerlin.com 🎧 Music credit: “Modern Situations” by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    24 min
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About

"A Beginner's Guide to AI" makes the complex world of Artificial Intelligence accessible to all. Each episode asks someone working with AI about what they do and how AI can help you. Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us as we take the first steps into AI 🚀 Hosted on Acast. See acast.com/privacy for more information.

Information

  • Creator
    Dietmar Fischer
  • Years Active
    2023 - 2026
  • Episodes
    313
  • Rating
    Clean
  • Copyright
    © Dietmar Fischer
  • Show Website
    A Beginner's Guide to AI

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