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

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.

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

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.

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

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

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

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.

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.

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