In this episode, I sit down with Ami Meoded, the brilliant founder behind Elora: a revolutionary AI-powered baby wellness monitor.

We dive into the incredible story of how a bold "gamble" on the future of AI became a mission to decode the secret world of babies — without cameras, without screens, and without judgment.

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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.io⁠⁠⁠⁠⁠⁠⁠⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠⁠⁠⁠⁠!

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From detecting crying, tummy time, and engagement levels to measuring air quality and even capturing your baby’s first “carrot” experience through voice, Elora is redefining parenting with empathy, data, and real-time insights.

We explore how AI is used not to replace parenting, but to reflect it — empowering parents with facts, not guilt. You’ll hear how the Elora team split their neural networks to balance real-time alerts and deep end-of-day insights, why they avoid judgmental language in their reports, and how their mission supports equity by helping every child get the best start, no matter their background.

Plus: parenting baggage, baby laughter data gaps, privacy ethics, and why urgent isn’t always important.

You want to know more about Elora and LittleOne.Care? Just go to their website!

If you want to get a Elora for yourself - or rather: your baby 😉 Go to the shop on the LittleOne-Website - or simply buy it on Amazon!

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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

AI Hype vs. Reality: Ben Carle from FullStack on What’s Really Happening Behind the Scenes

In this episode, we sit down with Ben from FullStack to unpack the real story behind the AI wave sweeping the tech world.

Ben shares how developers, startups, and enterprise clients are grappling with generative AI—what’s working, what’s hype, and what actually delivers value.

From automating tedious tasks to empowering senior engineers, Ben gives us a behind-the-scenes look at how AI is quietly reshaping software development (and yes, some jobs too).

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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.io⁠⁠⁠⁠⁠⁠⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠⁠⁠⁠!

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We talk about why so many companies say, “My CEO told me to do something with AI”, how to build proof-of-concept projects without burning budgets, and why the best AI systems still need a human in the loop.

Ben’s insights are honest, practical, and surprisingly optimistic—even if you’re worried about robots writing all the code.

Connect to Fullstack and Ben 🚀 on their website Fullstack.com https://www.fullstack.com/

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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

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.

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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.io⁠⁠⁠⁠⁠⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠⁠⁠!

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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!

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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

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 🚀

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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'.

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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.io⁠⁠⁠⁠⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠⁠!

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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.

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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

What does AI have to do with MongoDB—and why does it matter for the future of work, creativity, and our very idea of “productivity”? In this episode, Richmond Alake from MongoDB joins us for a wide-ranging, insightful conversation on everything from the basics of machine learning to the future of vector databases and agentic AI systems. Richmond explains how large language models think in structured formats like JSON (just like developers!)—and why that makes MongoDB uniquely positioned for the age of generative AI.

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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.io⁠⁠⁠⁠⁠⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠⁠⁠!

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We also talk about the philosophy of AI: what happens when machines take over the laborious parts of life? Could AI be humanity’s last invention—and what kind of future could that unlock for us? Richmond shares his personal journey from bored developer to full-stack engineer to AI educator, plus how he’s using ChatGPT and Claude not just for coding, but for learning Japanese and debating ideas. And yes, we get into doomerism, overengineering with LLMs, and whether the word "work" might disappear entirely one day.

Want to get more insights from Richmond? Connect to him on LinkedIn 🚀 or go directly to MongoDB to see how they can help you!

And here is the article Richmond mentions, "Demystifying AI Agents: A Guide for Beginners"

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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

In this episode, Greg Shove—founder of Section School—joins us to talk about how AI isn't just a tool, it's your new thought partner. From running board meetings with ChatGPT to using AI for medical insights and daily productivity, Greg shares how he's fully integrated AI into his professional and personal life. You'll hear how he's transforming business education with AI-powered coaching, what makes ProfAI different from typical courses, and why interface friction is becoming unacceptable in the age of intelligent systems.

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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.io⁠⁠⁠⁠⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠⁠!

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Greg also unpacks how leaders can guide their teams through the AI transition, how age and mindset affect adoption, and why the future of upskilling lies in personalized, real-time coaching—not webinars. Oh, and we dig into everything from Claude’s writing skills to whether a Terminator scenario keeps Greg up at night (spoiler: it doesn’t).

Where can you find Greg and Section:

- Connect to Greg on LinkedIn

- Or go to SectionSchool and get free courses here!

- Want to meet ProfAI? Get an appointment with the Prof here!

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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.

Can you use an AI model without ever really knowing it? In this episode of A Beginner’s Guide to AI, we slice open the debate between open weights and open source — two terms that sound geeky but carry huge consequences for ethics, innovation, and power in the AI world.

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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.io⁠⁠⁠⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠⁠in this episode⁠⁠⁠⁠⁠!

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Professor Gephardt breaks it down like a cake recipe: what happens when you get the finished product but not the ingredients? We unpack the difference between access and freedom, spotlight DeepSeek R1 as a strategic case study, and serve up a few spicy thoughts about who’s really in control when AI models are shared — or not.

Whether you're a marketer, a curious techie, or just someone wondering why your chatbot is acting weird, this episode is for you.

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

AI isn’t the future — it’s right now. In this episode, Christopher Penn joins me to break down what most companies get wrong about artificial intelligence, why ChatGPT is just the engine (not the car), and how ego — not tech — is the biggest roadblock to real innovation.

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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.io⁠⁠⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠⁠in this episode⁠⁠⁠⁠!

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We dig into job loss, the myth of SEO being “dead,” the hidden dangers of AI in warfare, and how every nation can catch up by leveraging open-source models.

Christopher shares how he uses AI personally, what businesses should really be optimizing for, and the surprising reason why most leaders are still stuck in 2010 thinking.

Fast, sharp, and deeply practical — this one’s a must-listen.

Connect directly to Chris Penn or go to Trustinstights to find out how you can leverage AI for your business 🚀

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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

In this episode, we sit down with Michaela Wessels, founder of Style Arcade, to uncover how artificial intelligence is transforming the fashion industry from the inside out.

From eliminating gut-feel guesswork in buying decisions to solving the age-old “I can’t find my size” problem, Michaela shares how AI and data can optimize inventory for every store, every product, and every size.

Whether you’re into fashion, retail tech, or just love a good behind-the-scenes of smart AI applications — this one's for you.

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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.io⁠⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠⁠in this episode⁠⁠⁠!

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We dive into visual AI, image recognition, and why even a black and a white version of the same dress can require totally different size curves.

Michaela breaks down how AI helps fashion brands go from spreadsheets to strategic planning — and why the answer to better retail might just be better data. We also talk about AI's role in achieving the dream of a 4-day workweek, the balance between automation and creativity, and why fashion is actually one of the most complex industries to optimize with tech.

Want to get in contact with Michaela? You can find her on LinkedIn

Or go directly to StyleArcade!

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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.

Imagine living life under constant evaluation—your behaviours, choices, and even friendships scrutinised and scored by artificial intelligence. Sounds dystopian, doesn’t it? Well, it’s already here.

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A message 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.io⁠⁠

And listen to Dan, Sensay's CEO and founder, ⁠⁠in this episode⁠⁠!

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In this episode of A Beginner’s Guide to AI, Professor Gephardt pulls back the curtain on AI-driven social scoring systems. Learn how algorithms quietly judge our worthiness, shaping our opportunities and even our rights.

We’ll unpack China’s controversial Social Credit System, highlight ethical dilemmas around privacy and discrimination, and discover how the EU is fighting to protect fundamental human rights.

And don’t worry—we've got a tasty cake metaphor to make things crystal clear!

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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]

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This podcast was generated with the help of ChatGPT 4.5 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