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.

Hosted on Acast. See acast.com/privacy for more information.

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.

Hosted on Acast. See acast.com/privacy for more information.

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

Hosted on Acast. See acast.com/privacy for more information.

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

Hosted on Acast. See acast.com/privacy for more information.

In this episode of A Beginner’s Guide to AI, we tackle one of the most transformative and high-stakes concepts in artificial intelligence: the intelligence explosion.

Join Professor GePhardT as he unpacks Leopold Aschenbrenner’s compelling argument that by 2027, AI could reach and surpass human-level intelligence, kicking off a self-improvement cycle that leads to superintelligent systems.

We’ll explore how advancements in computational power, algorithmic efficiency, and autonomous learning are paving the way for this breakthrough.

From an accessible cake analogy to a real-world case study of AlphaDev, this episode brings the concept to life, explaining how AI’s rapid self-improvement could reshape industries, geopolitics, and the very way we understand progress.

Whether you’re an AI beginner or a seasoned enthusiast, this conversation will leave you thinking about the possibilities—and responsibilities—that lie ahead.

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.

Hosted on Acast. See acast.com/privacy for more information.

Can artificial intelligence truly be curious? In this episode of A Beginner’s Guide to AI, we dive into the captivating debate surrounding AI’s ability to mimic or exhibit curiosity.

From exploring how reinforcement learning drives novel discoveries to examining real-world examples like AlphaZero’s groundbreaking strategies, we unravel the layers of AI exploration.

Do machines merely follow their programming, or are they inching closer to something that resembles genuine curiosity?

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.

Hosted on Acast. See acast.com/privacy for more information.

What if the AI revolution started centuries ago with a chess-playing automaton? In this episode of A Beginner’s Guide to AI, we journey back to the 18th century to uncover the captivating tale of the Mechanical Turk, a machine that mesmerized audiences by playing chess—and winning. But beneath its gears and levers lay a hidden truth that continues to resonate in today’s AI-driven world.

Join me, Professor GePhardT, as we unravel the Turk’s historical deception and connect it to the ethical, transparent, and human-driven challenges of artificial intelligence today.

From historical hoaxes to modern algorithms, this episode explores how perception, innovation, and the human touch shape our understanding of intelligent machines.

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.

Hosted on Acast. See acast.com/privacy for more information.

Can artificial intelligence truly be curious? In this episode of A Beginner’s Guide to AI, we dive into the captivating debate surrounding AI’s ability to mimic or exhibit curiosity.

From exploring how reinforcement learning drives novel discoveries to examining real-world examples like AlphaZero’s groundbreaking strategies, we unravel the layers of AI exploration.

Do machines merely follow their programming, or are they inching closer to something that resembles genuine curiosity?

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.

Hosted on Acast. See acast.com/privacy for more information.

Bureaucracy is killing interaction with people, we all know that. While necessary, it is not what we really want to do. This is especially true in healthcare, where doctors are overwhelmed with activities not directly related to the people they want to care for. And here comes AI!

RJ Kedziora gives us insights in what AI can do to help in healthcare, for better results and - interestingly - more human interaction.

RJ is co-founder of Estenda Solutions, where they help health care specialists and firms with all that 😎

If you want to know more, go to Estenda's ⁠website⁠ or connect with RJ on ⁠LinkedIn⁠!

---

Want to never miss an interview episode? ⁠⁠Subscribe to our Newsletter⁠⁠⁠!

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

This podcast was not generated with the help of ChatGPT, Mistral, and Claude 3 or another LLM, but by humans!

Music credit: "Modern Situations" by Unicorn Heads.

Hosted on Acast. See acast.com/privacy for more information.

In this episode, I speak with Don Gossen, a seasoned AI entrepreneur who works on new ways to handle payments among AI agents.

We explore why AI agents need their own dynamic payment rails, how blockchain technology fits into this vision, and the potential for trillions of AI “consumers” to transform global commerce.

Don describes how his team is tackling the emerging world of AI commerce by creating seamless transactions between human and non-human agents.

It’s a thrilling look at where data, analytics, and machine learning converge—and how this shift might ultimately free human creativity while AI handles the busy work.

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.

Hosted on Acast. See acast.com/privacy for more information.