A Beginner's Guide to AI

The Hidden Science Behind Chatbots That Actually WorkEver asked a chatbot a simple question and ended up more confused than before? You’re not alone. Most chatbots fail miserably at their one job: giving you the right answer without making you work for it. But why?In this episode of A Beginner’s Guide to AI, we break down the secret to effective chatbots using Information Foraging Theory—a concept that explains how humans (and animals!) search for information. We explore why some chatbots feel like magic while others make you want to throw your laptop out the window.You’ll learn:Why most chatbots waste your time and how they should actually function.How your brain searches for information like a squirrel hunting for food (yes, really).A real-world case study that shows how chatbot design can make or break user experience.The cake test—because AI is always easier to understand when food is involved.Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter!Want to get in contact? Write me an email: podcast@argo.berlinThis podcast was generated with the help of ChatGPT and Mistral. We 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.

AI vs. Automation: Why Repetitive Marketing is FailingEver 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!Want to get in contact? Write me an email: podcast@argo.berlinThis 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.

Are you ready to rethink everything you know about AI? In this episode, we sit down with Suriel Arellano, a seasoned leader in digital transformation and author of Leading in the Age of AI. He shares why the future of AI isn’t about the tech—it’s about the people.From demystifying common fears to explaining his "Golden Triangle" framework of people, process, and technology, Suriel offers actionable insights for leaders navigating the AI revolution. Whether you're a business owner, a tech enthusiast, or simply curious about AI's human impact, this episode delivers practical advice, powerful examples, and a refreshing perspective on integrating AI ethically and effectively. Don't miss it!You can find Suriel Arellano at his website, also his eBooks: ⁠⁠SurielArellano.com⁠⁠If you want to get consulting and help on implementing AI, you'll find help here: ⁠⁠Tec4Digital⁠⁠----Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠!Want to get in contact? Write me an email: ⁠podcast@argo.berlin⁠Music credit: "Modern Situations" by Unicorn Heads

Is the internet still alive, or has it been quietly taken over by bots, AI-generated content, and algorithm-driven engagement? In this episode of A Beginner’s Guide to AI, we explore the eerie and controversial Dead Internet Theory—the idea that much of what we see online isn’t created by humans anymore but by automated systems designed to manipulate, entertain, and sell.Are the people you interact with online actually real? How much of the news you read, the trends you follow, and the debates you see are fueled by artificial intelligence? And if AI has taken over, how can we spot the difference between authentic human content and algorithmic noise?Get ready for a deep dive into one of the strangest AI-related theories out there. We’ll break it down, separate paranoia from reality, and—of course—use cake to explain it all. Because when it comes to the internet, you need to know whether you’re getting the real deal or just another slice of mass-produced, artificially optimized content.Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!Want to get in contact? Write me an email: podcast@argo.berlinThis 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.

Can artificial intelligence ever be truly intelligent without a body? In this episode of A Beginner’s Guide to AI, we explore one of the most fascinating debates in AI research—whether intelligence requires physical experience or if it can exist purely in digital form.We break down why human intelligence is deeply tied to our bodies, how AI models like ChatGPT process information without sensory experience, and what cutting-edge robotics is doing to bridge the gap. With real-world examples, including Boston Dynamics’ Atlas, and a cake-baking analogy you won’t forget, this episode unpacks the limits and possibilities of AI as a “mind without a body.”Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter!Want to get in contact? Write me an email: podcast@argo.berlinThis 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

AI-generated voice ads are everywhere—but are they actually working? In this episode, I dive into why so many AI voice ads sound robotic, unconvincing, and downright painful to listen to. From lazy ad strategies to the arrogance of brands who think any automated voice will do, I break down what makes these ads fail and how companies can do better. Plus, I share some shockingly bad examples and a few ways AI ads could actually engage listeners—if done right.Tune in to get my thoughts, don't forget to subscribe to our Newsletter!Want to get in contact? Write me an email: podcast@argo.berlinMusic credit: "Modern Situations" by Unicorn Heads

AI thrives on data—but what happens when it starts averaging everything out?In this episode of A Beginner’s Guide to AI, we explore why AI’s obsession with statistical averages can be a serious problem. From healthcare to hiring algorithms, we break down how flattening data can erase crucial insights, reinforce biases, and lead to one-size-fits-all solutions that don’t actually fit anyone.We’ll unpack real-world examples, including how AI in medicine has overlooked critical symptoms for underrepresented groups like people not living in cities, and why recommendation engines often fail to capture what makes you unique. Plus, we’ll explain why an AI-designed cake—made entirely from “average” preferences—might be the worst dessert ever created.---Tune in to get my thoughts, and don't forget to subscribe to our newsletter at argoberlin.com/newsletter!Want to get in contact? Write me an email: podcast@argo.berlinThis 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.

Alan Turing wasn’t just a brilliant mathematician—he was the architect of modern computing. His concept of the Turing Machine laid the groundwork for every computer we use today, and his legendary Turing Test still challenges us to define intelligence itself. But despite helping to win World War II by cracking the Enigma Code, Turing was persecuted by the very country he saved.In this episode, we explore Turing’s groundbreaking ideas, his influence on artificial intelligence, and the injustice that cut his life short. From secret wartime projects to the modern AI revolution, his legacy is everywhere—but do we truly understand the depth of his impact?Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter!Want to get in contact? Write me an email: podcast@argo.berlinThis 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

AI is spicing up the kitchen, but is it cooking up convenience—or killing creativity? In this episode of A Beginner’s Guide to AI, we’re diving into the world of AI-powered cooking, from smart recipe generators to robotic chefs that can whip up a meal with precision.We’ll explore how AI personalises meals based on what’s in your fridge, adjusts cooking times for perfect results, and even automates entire kitchen processes. With real-world examples—like Gousto’s AI-driven meal planning—you’ll see how technology is reshaping food preparation at home and in professional kitchens.But is this the future we’ve been waiting for, or are we losing the human touch in cooking? Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter!Want to get in contact? Write me an email: podcast@argo.berlinThis 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.

Free speech is back in AI—at least more than before. OpenAI just updated its guidelines to allow broader discussions, including controversial topics from across the political spectrum. But what does that mean for disinformation, bias, and ethics? In this deep-dive episode, I explore the fine line between free speech and responsible AI, the risks of unfiltered language models, and the real-world consequences of biased outputs—especially in hiring decisions.We also discuss the dangers of AI without guardrails, the German perspective on free speech, and whether we should trust AI systems to make ethical decisions. Should we embrace total openness, or do we need stricter controls? And how does AI literacy fit into all of this? Tune in to hear my thoughts on one of the most complex AI dilemmas of our time.🔹 Tune in to get my thoughts, and don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!💬 Want to get in contact? Write me an email: podcast@argo.berlin🎵 Music credit: "Modern Situations" by Unicorn Heads