A Beginner's Guide to AI

Hollywood loves a good AI apocalypse—but how likely is a real-life Skynet scenario? In today's episode of A Beginner's Guide to AI, Professor GePhardT takes you on an entertaining yet eye-opening journey into Artificial General Intelligence (AGI). From understanding why films like The Terminator shape our deepest AI anxieties, to real-world safety measures inspired by these sci-fi nightmares, this episode breaks down exactly how humanity can steer advanced AI towards a beneficial future—rather than a robotic uprising.Expect to hear why a smart kitchen assistant could unintentionally cause chaos, how fictional tales are influencing actual AI research, and what top thinkers like Elon Musk and Stephen Hawking have warned us about. It's a conversation packed with fascinating examples, practical tips, and an honest look at how we're preparing for AGI today.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

In this episode, I sit down with Ethan Monkhouse, co-founder of Naviro, to explore how AI is revolutionizing the creator economy. We dive into the fascinating world of super fans—those loyal advocates who drive 70% of revenue for artists and creators. Ethan shares how Naviro uses advanced AI to identify and nurture these super fans, moving beyond vanity metrics like likes and impressions to uncover the emotional and financial drivers of true fandom. From analyzing public data to building custom AI models tailored to each artist, this conversation unveils the tools and strategies creators need to thrive in a competitive digital landscape. Ethan also reveals how AI simplifies workflows, enhances audience engagement, and helps creators shift from being overwhelmed by data to making informed, actionable decisions. Whether you're a content creator, marketer, or just AI-curious, this episode is packed with insights you won't want to miss. Want to get in contact with Ethan Monkhouse or Naviro?You can find Ethan on ⁠LinkedIn ⁠or on ⁠Instagram⁠. If you want to see what Naviro has to offer, ⁠go to their website ⁠and get started!Tune in to get my thoughts: don't forget to ⁠subscribe to our Newsletter⁠!Or want to get in contact? Write me an email: podcast@argo.berlin---Music credit:"Modern Situations" by Unicorn Heads.

Two years, 500 000 streams and counting! In this jubilee special, host Dietmar pulls back the curtain on Beginner’s Guide to AI—from its humble origin as a one-man, AI-generated history show to today’s chart-climbing interview podcast. 🎙️You’ll hear:The accidental launch: why an ancient-Greek travel prep turned into an AI-powered audio experiment.Tech trials & triumphs: hunting for natural-sounding voices, chaining prompts to beat token limits, and the DIY workflow that still underpins every episode.Pivot to people: how PR pitches and curious CEOs pushed the show from scripted explainer to human-driven interviews—and sent it rocketing into the global Top 50 tech charts.Audience & analytics: 25,000 subscribers, 1,200 plays per episode, and an Ango-American listener map.What’s next? Daily drops? More expert chats? Dietmar wants your vote.And, while you are on it, 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

Ever wondered why robots still haven’t mastered grandma’s unbeatable cake recipe? Or why McDonald's AI-driven drive-thru ended up causing more chaos than convenience? In today's episode of A Beginner’s Guide to AI, Professor GePhardT dives into a fascinating reality: despite all the hype, 47% of tasks remain stubbornly, uniquely, and beautifully human. Explore why AI struggles with creativity, empathy, and ethical judgment—and why that's brilliant news for marketers and businesses. Filled with relatable stories, humorous misfires, and practical insights, this episode celebrates the human skills that machines simply can't replicate (at least, not yet!).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

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:- Kid Cox from Enate- Khalid Baker from SecondSelf AI- Bidhan Roy from Bagel--- Tune in to get my thoughts, and don't forget to ⁠⁠⁠subscribe to our Newsletter⁠⁠⁠! Music credit: "Modern Situations" by Unicorn Heads

Dan Thompson, CEO of Sensay, specializes in creating virtual humans and wisdom engines that replicate human knowledge. In this discussion, he reveals how AI can preserve institutional memory and assist in tasks like job preparation. Dan shares fascinating applications, from HR bots to companionship for the elderly, emphasizing that personalization is key. He also explores the future of these technologies in enhancing creativity and knowledge transfer—ultimately highlighting the powerful role of digital replicas in our lives.

Step into the fascinating world of artificial intelligence with Ron Green, the co-founder and Chief Technology Officer of KungFu AI. In this episode, Ron shares how AI reignites his passion for computer science, the story behind the name "KungFu AI," and why the secret to mastering AI lies in skill achieved through hard work. Discover how KungFu AI helps businesses navigate their AI journeys—from developing cutting-edge breast cancer risk prediction models to safeguarding endangered bird habitats and beyond. Ron also dives into the myths and misconceptions surrounding AI, offering practical insights on strategy, ethics, and bias in AI implementation.---You can find Ron ⁠on LinkedIn⁠ or at ⁠KungFu AI⁠, where they have great resoources for further information!Ron's Podcast, Hidden Layers, brings you deep info on AI topics, you find it here on Kungfu AI's website!---Tune in to get my thoughts, and don't forget to ⁠subscribe to our Newsletter⁠! Want to get in contact? Write me ⁠an email⁠!___Music credit: "Modern Situations" by Unicorn Heads.

Probably my most inspiring podcast episode up until now - if you didn't listen the first time, now is a must!---What is AGI really — and why are today's AI models not getting us there? In this thought-provoking episode, Peter Voss, CEO and Chief Scientist of Aigo.ai, joins me to explore the real meaning behind Artificial General Intelligence. Peter, who helped coin the term "AGI" back in 2001, explains why current AI systems like large language models are fundamentally on the wrong track. We dive deep into the differences between narrow AI and cognitive AI, discuss the future potential of AGI to revolutionize industries, and tackle big questions like: Could AGI actually save humanity?Peter also shares how his team is developing an AGI system that learns like a child — starting at the level of a three-year-old and advancing naturally, not through brute-force data. We talk about why today's AI funding priorities may be holding true progress back, and why the biggest threat might not be AGI itself, but misunderstanding its nature.---To go deeper into the topic, you'll find Aigo here: ⁠Aigo.ai⁠And you can find Peter on ⁠⁠LinkedIn⁠⁠!---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.berlin⁠⁠⁠Music credit: "Modern Situations" by Unicorn Heads.

Ever wondered how Netflix knows exactly what you'll binge next or how big brands like Delta Air Lines turn multimillion-dollar sponsorships into concrete sales? Welcome back to A Beginner's Guide to AI, where today we're uncovering the fascinating world of AI inference—the secret sauce behind machine-made predictions. --- --- ---A word from our Sponsor:Sensay creates AI-powered digital replicas to preserve and share individual and organizational knowledge, turning it into scalable, sustainable, and autonomous wisdom.Visit Sensay at ⁠⁠⁠⁠⁠⁠⁠Sensay.io⁠⁠⁠⁠⁠⁠⁠And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠⁠⁠!--- --- ---Professor Gephardt, with his usual charm and wit, breaks down precisely how AI learns from past data to tackle new, unseen scenarios, turning educated guesses into powerful, profitable insights.Expect engaging analogies—from fruit-loving robots to cake-tasting mysteries—and real-life case studies, like Delta’s remarkable $30 million Olympic success story powered by AI. Plus, practical tips on how to spot AI inference in your daily digital life and even how to experiment with your own AI models!---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

Had to repost this episode, as I now had a ChatGPT 4.5 preview and the quality of the content is at least one level higher than ChatGPT 4, which I used before 🚀---In this episode of "A Beginner's Guide to AI", we dive deep into the world of Generative Pretrained Transformers, or GPT. We break down this complex concept into understandable chunks, exploring what it means to be 'generative', 'pretrained', and a 'transformer'. --- --- ---A word from our Sponsor:Sensay creates AI-powered digital replicas to preserve and share individual and organizational knowledge, turning it into scalable, sustainable, and autonomous wisdom.Visit Sensay at ⁠⁠⁠⁠⁠⁠Sensay.io⁠⁠⁠⁠⁠⁠And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠⁠!--- --- ---We then focus on ChatGPT, a variant of GPT that's making waves in the tech world for its ability to generate human-like text. We also delve into a case study, demonstrating how ChatGPT could revolutionize customer service in the digital age. Wrapping up, we reflect on the key points discussed and look ahead to our next topic: machine learning algorithms.---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