Afleveringen
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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: [email protected]
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.
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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: [email protected]
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
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Zijn er afleveringen die ontbreken?
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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: [email protected]
Music credit: "Modern Situations" by Unicorn Heads
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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.
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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: [email protected]
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.
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Professors fear it, students use it, and universities struggle to keep up — AI is reshaping higher education. In this episode, I sit down with Evan Sveum, professor from Wisconsin-Eau Claire, who fully integrates AI into his teaching.
He introduces us to Isabelle, his AI-powered teaching assistant, which has already handled over 1,000 student interactions.
We dive into how AI enhances learning outcomes, whether it truly saves time for educators, and why banning AI in classrooms might be the worst possible move.
Should AI be a tool or a threat in education? How do students actually use it—are they just copying answers, or is something deeper happening? And will AI replace teachers entirely? We tackle these tough questions and explore what the future of learning really looks like.
You can connect with Evan on LinkedIn!
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Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: [email protected]
🎵 Music credit:"Modern Situations" by Unicorn Heads
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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: [email protected]
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
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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: [email protected]
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.
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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: [email protected]
🎵 Music credit: "Modern Situations" by Unicorn Heads
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Will the machines take over, will terminators exterminate us - or will we be in the Matrix, not knowing that the AI took over?
What sounds funny at first, is not so funny at all: AI is quickly developing to levels nobody dreamed about 3 years ago.
But is the threat from AI real? I asked 3 AI experts on their opinion and they say... but for that you'll have to listen to the podcast!
My guests today are:
- Amarpreet Kalkat, CEO and founder of Humantic AI
- Matt van Itallie, CEO and founder of Sema
- Yuri Dvoinos, Chief Innovation Officer at Aura
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Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: [email protected]
Music credit: "Modern Situations" by Unicorn Heads
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In this episode, we explore the fascinating world of AI reasoning models—digital engines that blend strict logic with intuitive neural network flair to mimic human decision-making.
Professor Gephardt guides you through how these models gather data, apply rules, and learn from experience to make decisions as nuanced as your own everyday choices.
You’ll discover how systems like DeepMind’s AlphaZero revolutionized everything from chess to real-world problem-solving by merging methodical analysis with creative intuition.
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Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: [email protected]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
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What if magic wasn’t supernatural at all, but just really advanced AI?
In this episode ofA Beginner’s Guide to AI, we explore the striking parallels between wizardry and artificial intelligence.
Spells follow strict syntax, require precise inputs, and produce predictable results—just like algorithms.
SayWingardium Leviosa the wrong way, and nothing happens. Code it wrong, and AI refuses to work. So, are spells just another form of programming?
We also dive into one of AI’s biggest challenges: forgetting. Wizards haveObliviate to erase memories instantly, but AI isn’t so lucky.
Researchers have been experimenting with ways to make AIunlearn specific knowledge, even testing it by removing the Harry Potter books from a model’s training data.
But does AI truly forget, or does it just learn to avoid certain topics? And if AI is our modern-day spellbook, what does that mean for the future?
Be there as we break down the magic behind machine learning and ask the ultimate question: is AI just a Muggle’s way of casting spells?
Go directly to theSorting-Hat-Agent: https://agent.ai/agent/sortinghat
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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:[email protected]
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.
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SORRY, UPLOADED THE WRONG AUDIO FILE, NOT THE NATIVISM ONE - BUT NOW IT'S THE RIGHT ONE!!!
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 betweennativism 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, fromAlphaZero teaching itself to play chess toGPT-4 mimicking human language without actually understanding it. And, of course, we usecake to make it all crystal clear.
Tune in to get my thoughts, and don’t forget tosubscribe to our Newsletter atargoberlin.com/newsletter!
Want to get in contact? Write me an email:[email protected]
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.
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AI is powerful, but only when it knows what you actually want. In this episode ofA Beginner’s Guide to AI, we explore why artificial intelligence struggles with vague problem statements and how specificity can make or break its effectiveness.
From hiring disasters to AI-generated nonsense, we’ll break down real-world examples of what happens when instructions aren’t clear—and how to fix it.
Tune in to get my thoughts, and don’t forget tosubscribe to our Newsletter!
Want to get in contact? Write me an email:[email protected]
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
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Imagine a world where you never truly disappear—a world where digital replicas of yourself preserve your knowledge, personality, and experiences, long after you're gone.
In today’s episode, I sit down with Dan Thompson, CEO and founder of Sensei, a company creating lifelike digital clones that can support everything from personal memory aids to organizational wisdom.
We discuss how this technology could one day allow future generations to connect with us, even hold conversations with us, and how businesses could tap into the knowledge of key team members—forever.
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Here is where you find Dan and Sensay:
Sensay: https://sensay.io/ Dan Thomson on LinkedIn: https://www.linkedin.com/in/dan-thomson-sensay/---
Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: [email protected]
Music credit: "Modern Situations" by Unicorn Heads
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The EU AI Act just became legally binding on February 2nd, marking a historic moment in AI regulation. But is it a necessary safeguard or a bureaucratic nightmare?
In this episode, we break down what’s banned, what’s restricted, and what this means for businesses, developers, and AI users. From social scoring bans to strict oversight on high-risk AI, the EU is setting the rules for the future of artificial intelligence.
Will this become the global gold standard for AI governance, or will it drive innovation away from Europe? And what do Google Ads, Meta Ads, and SEO have to do with AI compliance? Stick around as we make sense of it all—with cake, of course.
Tune in to get my thoughts, and don’t forget to subscribe to our newsletter for AI insights, expert takes, and practical tips!
Want to get in contact? Write me an email: [email protected]
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.
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China is making bold moves in the AI race, and DeepSeek is proof that it’s not just catching up—it’s challenging Silicon Valley’s dominance.
In this episode, we break down why DeepSeek is making waves, how it fits into China’s larger AI strategy, and what this means for the future of global AI development.
We explore the insights from Kai-Fu Lee’s AI Superpowers, examine how China’s approach to AI differs from the West, and take a deep dive into DeepSeek’s impact.
Is this the beginning of a shift in AI leadership? And how should the rest of the world respond?
Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: [email protected]
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.
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AI is only as good as the foundation it's built on, and today’s guest, Collin Graves, knows exactly how to lay that groundwork.
As the founder of North Labs, he’s been at the forefront of data, cloud, and AI transformation for nearly two decades. In this episode, Collin shares his journey from the US Air Force to becoming one of the first certified AWS experts and how that led him to the AI revolution.
We explore why companies often rush into AI without a solid data strategy, the dangers of fragmented AI adoption, and the crucial role of large language models in modern business.
We also dive into how AI is transforming manufacturing and higher education, how businesses can avoid costly mistakes when implementing AI, and why owning your own data model is essential in today’s landscape. Plus, Collin gives a glimpse into his own AI-driven smart home project and shares his thoughts on whether we’re heading toward a real-life Terminator scenario.
If you want to connect to Collin, you can find him on LinkedIn, to go directly to North Labs, just click here 😉
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Tune in to get the good stuff: don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: [email protected]
Music credit: "Modern Situations" by Unicorn Heads
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In this episode of A Beginner’s Guide to AI, we explore three groundbreaking techniques reshaping the AI landscape:
Fine-Tuning, Retrieval-Augmented Generation (RAGs), and Low-Rank Adaptations (LoRAs).Discover how fine-tuning transforms AI models into specialists, why RAGs are revolutionizing real-time knowledge retrieval, and how LoRAs make powerful AI more accessible and efficient.
Packed with real-world examples—like Vodafone’s innovative use of RAGs to supercharge customer support—you’ll gain a clear understanding of how these techniques are not just technical feats but practical tools for solving everyday challenges.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: [email protected]
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
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Artificial intelligence is evolving at breakneck speed, leaving many of us caught between awe and anxiety—a phenomenon we’re calling “AI Vertigo.”
In this episode of A Beginner’s Guide to AI, we explore why the rapid pace of AI advancements can feel so overwhelming and how it’s reshaping industries, jobs, and society as a whole.
From groundbreaking generative AI tools to ethical dilemmas and fears of job displacement, we unpack the excitement and unease of navigating this fast-moving landscape.
Tune in to hear how the concept of AI Vertigo plays out in real-world scenarios and discover practical tips for staying grounded amidst the whirlwind. Whether you’re thrilled by innovation or overwhelmed by its speed, this episode offers insights to help you find your balance.
Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: [email protected]
This podcast was generated with the help of ChatGPT, Mistral and DeepSeek. 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
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In this episode, I sit down with John Munsell, founder of Bizzuka, to explore how businesses can harness the true power of AI.
John dives into his journey from running a digital marketing agency to becoming a thought leader in AI strategy.
Together, we unpack his revolutionary AI Strategy Canvas, a framework helping businesses streamline processes, refine strategies, and integrate AI seamlessly.
We also explore practical use cases, the importance of building AI literacy, and how AI can empower organizations to scale faster. Plus,
John shares insights on staying ahead of AI-driven security challenges, including the rise of deepfakes.
➡️ You can find John on LinkedIn
➡️ You'll find Bizzuka here
➡️ And, if you are quick, you can get a copy of INGRAIN AI - Strategy Through Exexution, just write John that you heard about his book on this podcast and he'll send it to you:
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Tune in to get my thoughts, don't forget to get our Newsletter 😎
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Music credit: "Modern Situations" by Unicorn Heads
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