A Beginner's Guide to AI

Ever wondered if AI leaderboards are as fair as they seem? In today's episode of A Beginner's Guide to AI, Professor GePhardT digs into the explosive controversy known as the "Leaderboard Illusion." With the crowdsourced AI ranking platform LM Arena securing a jaw-dropping $100 million investment and skyrocketing its valuation to $600 million, AI evaluation has become serious business. But recent revelations accuse big players like Meta of secretly gaming the rankings—testing multiple hidden versions of their AI models to artificially inflate their scores. Join us as we unravel this juicy saga, discuss why fairness and transparency matter, and explore how these leaderboards can impact the AI landscape.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 and Mistral . 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 from ElevenLabs.Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

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 😉---Tune in to get the good stuff: 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 Hosted on Acast. See acast.com/privacy for more information.

In this discussion, John Munsell, founder of Bizzuka and AI strategist, shares his transition from digital marketing to AI implementation. He reveals the transformative AI Strategy Canvas, designed to simplify business integration of AI. John emphasizes building AI literacy and showcases practical applications of AI tools like ChatGPT. He also addresses the importance of navigating AI-driven security threats, including deepfakes, while injecting humor into the complexities of AI. Tune in for insights that can empower organizations to scale effectively!

Joe Ingram, a sales expert with over $1.7 billion in sales and author of "Chat GPT for Gen X," shares his fascinating journey from engineering to sales success. He reveals how to leverage AI tools like ChatGPT to streamline sales processes and boost productivity. Joe discusses transforming chatbots into virtual business partners, simplifying complex ideas, and actionable strategies for client engagement. His insights inspire both newcomers and seasoned pros to embrace AI as a collaborative force in enhancing business outcomes.

Do you need just one digital coworker—or an entire AI-powered team? In this episode of A Beginner’s Guide to AI, Professor Gephardt takes you deep into the exciting world of AI agents, exploring why relying on a single assistant might soon be outdated. Discover how specialized digital agents can effortlessly collaborate, handling everything from repetitive daily tasks to complex marketing strategies, allowing you to focus on creativity and strategic thinking. Plus, explore how Ferrari turbocharged fan engagement using a dynamic AI-powered platform, and find out how you can practically apply these insights to your own workflow.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 and Mistral. 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 a captivating discussion, the debate between T-shaped professionals and versatile generalists takes center stage. Using mouth-watering cake analogies, the talk illustrates how deep expertise and broad adaptability are essential in an AI-driven world. Real-world insights from Shoosmiths showcase the power of blending specialization with generalist skills. Listeners also receive practical advice on skill mapping and integrating AI tools into their careers, emphasizing the importance of curiosity and adaptability in this evolving landscape.

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 never miss an episode: 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. Hosted on Acast. See acast.com/privacy for more information.

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

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

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