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

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:

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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

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.

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.

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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Want to get in contact? Write me an email: [email protected]

Music credit: "Modern Situations" by Unicorn Heads