A Beginner's Guide to AI

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

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

In this enlightening conversation, Dan Thomson, CEO and founder of Sensei, reveals how digital clones could transform our relationship with memory and legacy. He discusses the potential for lifelike replicas to preserve an individual’s knowledge and personality, even allowing future generations to interact with them. The conversation delves into the personal and ethical implications of this technology, touching on memory loss experiences and exploring the future of AI in business and personal spheres. Prepare to rethink how memories define us!

The EU AI Act has become a game changer in AI regulation, raising questions of necessity versus red tape. It outlines what AI applications are banned or restricted and explores implications for businesses and developers. There's a debate on whether this regulation could set a global standard or stifle innovation in Europe. Intriguingly, the discussion even ties in elements of digital advertising and AI compliance, all served with a touch of humor. With cake as a bonus, this topic is as delicious as it is complex!

China is stepping up in the AI race with DeepSeek, challenging Silicon Valley’s long-held dominance. The podcast contrasts China's rapid AI model development against the West's slower strategies, revealing significant geopolitical implications. It draws insights from Kai-Fu Lee's 'AI Superpowers' and ponders whether this signals a shift in global AI leadership. Listeners will gain a deeper understanding of the competitive landscape and the necessary responses from the international community.

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: 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 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: podcast@argo.berlinThis 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: podcast@argo.berlin.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: 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. 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: 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. Hosted on Acast. See acast.com/privacy for more information.