A Beginner's Guide to AI

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--- 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.berlin⁠Music 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.---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

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.

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: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.

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

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.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

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.berlin 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