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Episodes from A Beginner's Guide to AI
From the 1920s to Klarna - Do You Know What "Robot" Actually Means?
The word “robot” sounds modern, metallic, and futuristic. But its origin is older, stranger, and much more human. In this episode of A Beginner’s Guide to AI, we trace the word back to Karel Čapek’s 1920 play R.U.R., short for Rossum’s Universal Robots, and the Czech word robota, meaning forced labour, hard work, or drudgery.That origin changes everything. Robots were never only about machines. They were always about work. Who does it? Who controls it? Who benefits from it? And what happens when humans build artificial workers to take over tasks?Today...
How Leaders Can Start with AI Today: A Conversation with Michael Housman // REPOST
In this episode of Beginner’s Guide to AI, host Dietmar Fischer speaks with Michael Housman, AI leader, econometrician, and author of the upcoming book Future Proof. Together, they unpack how leaders can future-proof their businesses with AI and why the most important AI transformation doesn’t start with technology, but with people.You’ll learn why companies that hesitate risk falling behind, how even small AI wins can unlock massive productivity, and why AI literacy programs are becoming essential across organizations. Michael explains how AI can act as a strategic thought partner for executives, how to ide...
Why Your Health Data Is Useless Without AI - Earl J. Campazzi Tells You
Most of us already collect health data every day through smartphones, smartwatches, rings, apps, lab reports, and medical visits. But collecting data is not the same as understanding it.In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Dr. Earl J. Campazzi Jr., author of Better Health with AI: Your Roadmap to Results, about how artificial intelligence can help us make better use of personal health data.📧💌📧Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl📧💌📧We talk about AI in healthcare, wearable health data, smartwatch health tracking, heart rate variability, sleep tracking, doc...
The Future of AI Will Depend Heavily On Memory Quality, Not Just Model Or Prompt Quality
AI assistants are getting smarter, but intelligence alone is not enough. In this episode of A Beginner’s Guide to AI, we look at one of the most important shifts in agentic AI: memory. Not just longer context windows, not just bigger prompts, but structured AI memory that helps assistants remember projects, company facts, user preferences, and repeatable workflows.The episode explains the four key memory types behind modern AI agents: working memory, episodic memory, semantic memory, and procedural memory. Working memory helps an AI focus on the current task. Episodic memory helps it...
Why Eliezer Yudkowsky Thinks AI Could Be Dangerous Without Being Evil
🤖🧠⚠️What if the biggest AI risk is not that machines become evil, but that they become powerful, strategic, and completely indifferent?In this episode of A Beginner’s Guide to AI, we explore the worldview of Eliezer Yudkowsky, one of the most intense and influential voices in the AI safety debate. Yudkowsky does not warn us about Hollywood robots or dramatic machine rebellion. His concern is much sharper: humanity may build artificial intelligence smarter than humans before we know how to control it.This episode explains AI alignment, the control problem, superintelli...
Why Fritz Lang's 'Metropolis' Still Explains the Real Danger of AI
What can a silent film from 1927 teach us about artificial intelligence, deepfakes, and the future of business trust? In this episode of A Beginner’s Guide to AI, we look at Fritz Lang’s legendary film Metropolis and use it as a surprisingly sharp lens for understanding modern AI. The robot Maria is not dangerous because she is made of metal. She is dangerous because she borrows a trusted human face.And that is exactly why today’s AI-generated voices, synthetic avatars, and deepfake videos matter.This episode explores how AI can im...
Why Every Business Will Need An AI Agent - Inside the Agentic Economy with Humayun Sheikh // REPOST
Humayun Sheikh on the Agentic Web, Trust, and the Agentic EconomyHumayun Sheikh joins Dietmar Fischer to explain what happens when AI stops recommending and starts doing. We explore the Agentic Web, a new layer where personal AI agents and verified brand agents collaborate to complete tasks like booking travel, coordinating meetings, and shopping with trust built in.You will learn what makes a real AI agent, why autonomy matters, and how multi-agent systems unlock an agentic economy. We also tackle the marketer’s question: what happens to SEO when the buyer becomes an...
Why Google DeepMind Changed How Businesses Think About AI
🧠🤖 Stop Using AI Just for Content. Start Using It for DiscoveryMost businesses still treat AI like a faster writing assistant: useful for summaries, captions, reports, and endless slightly polished LinkedIn posts. But Google DeepMind points to something much bigger. From AlphaGo’s historic victory over Lee Sedol to AlphaFold’s breakthrough in protein structure prediction, DeepMind shows us that AI is becoming a tool for discovery, not just automation.💡💡💡Don't forget to go to Nebius, as they help us keeping up the good work!Have a look at their Token...
AI At Work: Agents Are Already Here - A Conversation with Sam Ransbotham // REPOST
AI agents are rapidly becoming one of the most influential technologies inside modern organizations — often without leaders even realizing the shift. In this episode, Dietmar Fischer sits down with MIT Sloan podcast host Sam Ransbotham to uncover why AI agents and agentic AI systems are spreading through enterprises at remarkable speed.Based on a global study of 2,100 executives across 116 countries, Sam shares how AI agents improve productivity, increase job satisfaction, and fundamentally reshape how companies work. From Chevron’s proactive exploration tools to the rise of autonomous knowledge assistants, we explore the surprising ways enterprise AI adop...
AI Will Never Be A Leader - Says Sally Bendersky
What happens to leadership when AI can analyze faster, structure better, and answer almost anything in seconds?In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Sally Bendersky, engineer, executive coach, leadership expert, and founder of New Leadership, about why AI makes human leadership more important, not less.Sally argues that AI is a phenomenal assistant. It can recognize patterns, organize information, support better questions, and help leaders think more deeply. But it cannot replace the human parts of leadership: trust, intention, values, emotional intelligence, purpose, and responsibility.<br...
The Cost of Being Invisible in ChatGPT - With Joseph Levi
AI search is changing how customers discover, evaluate and choose brands. In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Joseph Levi, CEO of Noise Media, about Generative Engine Optimization, AI brand visibility and why appearing in ChatGPT, Gemini or Perplexity answers may soon matter as much as ranking on Google.Joseph explains why GEO is not just another marketing abbreviation. It marks a shift from an internet read mainly by humans to an internet increasingly interpreted by AI agents. Instead of fighting only for blue links, brands now need to make su...
AI Is Killing Transaction Costs, But Who Gets the Money?
Stop Thinking of AI as a Content Machine, Start Seeing It as a Bargain MachineAI is not just changing how businesses write content, automate tasks, or analyse data. It is changing how markets work. In this episode of A Beginner’s Guide to AI, we connect artificial intelligence with the Coase Theorem, the classic economic idea that explains how people bargain over resources when transaction costs are low.This episode looks at AI transaction costs, algorithmic pricing, smart contracts, platform power, and the hidden cost of frictionless automation. You will le...