Artificial intelligence breakthroughs might appear magical from the outside, but underneath lies a predictable and surprisingly elegant structure.

This episode of A Beginner’s Guide to AI takes listeners on a clear and engaging journey into the three scaling laws of AI, exploring how model size, dataset size, and compute power work together to shape the intelligence of modern systems.

Through practical explanations, entertaining analogies, and detailed real-world case studies, this episode demystifies the rules that drive every meaningful AI advancement.

Listeners will learn why bigger models often perform better, how data becomes the lifeblood of learning, and why compute power is the critical engine behind every training run.

The episode includes a memorable cake analogy, a breakdown of how scaling laws led to the rise of state-of-the-art large language models, and practical tips for evaluating AI tools using these principles.

This deep yet accessible explanation is designed for beginners, creators, and curious minds who want to understand what truly makes AI work.

📧💌📧
Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧

About Dietmar Fischer:

Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com

Quotes from the Episode

“AI doesn’t just grow; it scales, and scaling changes everything.”
“Compute isn’t the cherry on top; it is the oven that makes the entire AI cake possible.”
“Scaling laws show us that AI progress isn’t magic; it’s engineered.”

Chapters

00:00 Introduction to AI Scaling
03:24 The Three Scaling Laws Explained
11:02 The Cake Analogy for AI Models
17:40 Case Study: How Scaling Transformed Large Language Models
23:58 Practical Tips for Understanding and Applying Scaling Laws
28:45 Final Recap and Key Takeaways

Music credit: "Modern Situations" by Unicorn Heads

🚀 Matt Weaver, Solutions Engineering Leader at OpenAI, takes us inside the launch of GPT-5, the rise of AI agents, and how these tools are transforming industries.

From practical business adoption tips to exploring advanced features like Deep Research and Custom GPTs, this episode is packed with actionable insights.

📧 Tune in to get my thoughts, tips and tricks and all the episode in your mailbox: beginnersguide.nl

💡 What you’ll learn in this episode:

• How GPT-5 chooses the right reasoning model automatically for better answers
• Why AI literacy is the foundation for business adoption
• Industry examples from banking (BBVA) to travel (Virgin Atlantic)
• How AI agents like Deep Research work – and why they’re a game changer
• Creating your own Custom GPTs without coding
• Addressing AI objections: security, hallucinations, and cost concerns

Quotes from the Episode:

💬 “AI is such a transformative technology — now is the time to reimagine your processes, not just bolt it onto old ones.” – Matt Weaver

💬 “Your first AGI moment changes how you see every problem — you start thinking, ‘How can ChatGPT help me with this?’” – Matt Weaver

🧾 Chapters (experimental):

00:00 Welcome & Introduction to Matt Weaver

01:18 Matt’s Journey into AI and Joining OpenAI

03:58 GPT-5 Launch – What’s New and Why It Matters

08:28 How Businesses Should Start with ChatGPT

10:45 AI Adoption Strategies & Avoiding Common Mistakes

12:14 Industry Examples – Banking, Travel, and Professional Services

14:06 Deep Research: AI Agents Explained

18:06 Study Mode & AI in Education

19:56 Overcoming Objections: Security, Hallucinations & Costs

24:06 ROI of ChatGPT in Business

28:22 The “AGI Moment” & Personal Uses of ChatGPT

32:03 The Future of AI: Agents, Coding, and New Businesses

35:48 Custom GPTs – Building Your Own AI Apps

39:06 AI Safety & Optimism for the Future

41:16 Where to Find Matt Weaver & Closing

Want to know more?

🔗 ChatGPT is now also at Chat.com

🔗 OpenAI's learning resources are at: academy.openai.com

🎵 Music credit: "Modern Situations" by Unicorn Heads

Ever wished you could clone yourself to get more done? Julian Goldie actually did it — and built a content empire out of it. In this episode of A Beginner’s Guide to AI, host Dietmar Fischer talks with Julian about how he uses AI to create five videos a day, automate workflows, and still keep a personal, human touch that builds real trust with his audience.

Julian reveals how he turned his initial fear of AI into a full-scale growth engine for his business, transforming his SEO agency into a modern AI-powered content studio. He shares the systems, tools, and mindset that helped him automate marketing, scale his team, and reach millions — all while avoiding the “AI slop” that floods the internet.

📧💌📧
Tune in to get my thoughts and all episodes — don’t forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠
📧💌📧

💡 Key Highlights

• How Julian scaled from one YouTube channel to nine using AI

• The tools behind his workflow: Descript, Claude, and HeyGen

• Why AI videos sometimes outperform human ones (and when they don’t)

• The importance of quality control and the “human in the loop”

• How AI can make leadership more human — through reflection and empathy

• Why it’s not humans vs AI, but humans with AI vs everyone else

🧠 Quotes from the Episode

“I thought AI would destroy my agency — instead, it became my best employee.”

“It’s not humans versus AI — it’s humans with AI versus everyone else.”

“My AI avatar never gets tired, never mispronounces a word, and somehow gets better watch time than me.”

🕒 Chapters

00:00 Julian’s AI Origin Story
How the fear of losing his SEO agency pushed him into AI — and why his first ChatGPT video went viral.

06:12 Scaling Content: From Livestreams to 5 Videos a Day
Julian explains his full workflow, the role of AI avatars, repurposing, and why human connection still matters.

14:40 AI Tools That Power the System
A practical look at Descript, HeyGen, Claude, and how his team uses them to automate editing, clipping, and content creation.

22:18 Leadership, Teams & the Human in the Loop
How AI supports decision-making, reflection, communication, and empowers team members instead of replacing them.

30:44 The Future of AI Content & Final Thoughts
Quality control, the fight against “AI slop,” the risks ahead — and whether the Terminator is coming.

🌐 Where to Find the Julian Goldie:

• Julian Goldie's Agency: goldie.agency

• AI Profit Boardroom: aiprofitboardroom.com

• YouTube: @JulianGoldie

• Twitter/X: @JulianGoldieSEO

• And Julian's Website: juliangoldie.com

👤 About Dietmar Fischer

Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or digital marketing going, just reach out at argoberlin.com 🚀

🎵 Music credit: “Modern Situations” by Unicorn Heads

Step into the future of artificial intelligence with Fred Jordan as he introduces “Biocomputing”—the next evolutionary leap for AI.

In this episode, Fred unpacks how biocomputing uses nature’s own design principles to build more adaptive, resilient, and intelligent systems.

📧💌📧

Tune in to get my thoughts, and don’t forget to ⁠subscribe to our Newsletter⁠!

📧💌📧

Highlights from the episode:

• What “Biocomputing” is, and why it matters for the future of AI

• How biocomputing fundamentally differs from traditional approaches

• Fred Jordan’s personal journey and vision for next-generation intelligence

• Real-world examples and the untapped potential of biocomputing

  
  

Quotes from the Episode:

• “Biocomputing is about harnessing the principles of life itself to create intelligence that adapts and evolves, just like nature intended.”

• “We’re not just building smarter machines; with biocomputing, we’re taking inspiration from biology to leap forward in how AI thinks and grows.”

Chapters (experimental):
00:00 Introduction and Fred Jordan’s Background
04:15 What Is Biocomputing? The Big Idea
15:30 Biocomputing vs. Traditional AI: Key Differences
28:50 Real-World Applications and the Future of Biocomputing
41:10 Closing Thoughts and Next Steps

Where to find Fred Jordan and FinalSpark:

• Discord: discord.com/invite/edPetHUYtx

• Website: finalspark.com

• Apply to join: finalspark.com/neuroplatform/

Get the newsletter: beginnersguide.nl 📧

Music credit: "Modern Situations" by Unicorn Heads

Artificial Intelligence isn’t just reshaping technology — it is reshaping leadership.
In this episode, former Google strategist Louisa Loran joins Dietmar Fischer to explore how leaders can adapt, evolve, and thrive in an age defined by rapid AI acceleration.

Louisa shares her journey across Moët Hennessy, Maersk, and Google, revealing why the biggest barrier to meaningful AI adoption isn’t technology but leadership behavior, culture, and the willingness to unlearn. She explains why strategy must come before tools, how organizations waste months chasing the wrong use cases, and why AI doesn’t challenge culture — it scales it.

---

Newsletter:Tune in to get deeper insights and all episodes. Subscribe at beginnersguide.nl

---

This conversation offers a clear and practical blueprint for anyone leading teams, shaping strategy, or trying to stay relevant in an AI-enabled world.

In this episode you will learn:

• How leaders can build an effective AI leadership mindset

• Why organizations waste time on “AI use-case lists”

• How generative AI distorted expectations across industries

• How to build a culture of curiosity rather than control

• Why middle management often resists AI transformation

• The four elements of Louisa’s Leadership Anatomy framework

• How Louisa uses three AIs as strategic thought partners

• What AI literacy really means for modern organizations

• How Europe’s AI culture compares to the U.S.

  
  

Quotes from the Episode:
“AI doesn’t challenge culture. It scales it.”
“If you don’t unlearn, you can’t lead.”
“AI won’t replace you — but bad leadership will.”

Chapters:
00:00 Welcome & Introduction — Meet Louisa Loran
00:37 How curiosity led Louisa from Moët Hennessy to AI and Google
02:21 Early digital transformation and the roots of AI in logistics
04:46 Why strategy comes before tools — the real AI leadership lesson
07:15 The global “AI panic” and how leaders wasted 18 months on use-case lists
09:42 Rediscovering critical thinking in the AI era
11:56 Learning to lead through uncertainty and data discovery
14:33 Building a culture of curiosity instead of control
17:28 The leadership challenge: unlearning the habits of success
20:14 Lessons from Google — when inefficiency is actually innovation
23:01 How AI puts pressure on leaders and middle management
25:47 The anatomy of leadership: eyes, lungs, arms, and spine
29:42 Using three AIs as thought partners while writing a book
33:11 What AI literacy really means in organizations
36:18 Education, ethics, and the future of learning with AI
39:22 The European AI mindset vs. U.S. drive
42:15 Final insights: leading with clarity, courage, and curiosity
43:37 Where to find Louisa Loran and her book

Where to find the Guest:
Website: LouisaLoran.com
LinkedIn: Louisa Loran
Book: Leadership Anatomy in Motion (wherever you buy your books)

About Dietmar Fischer:
Dietmar is a podcaster and AI marketer based in Berlin. If you want to get your AI or digital marketing moving, visit Argo.berlin.

Music credit: “Modern Situations” by Unicorn Heads

📖 AI-Created Books: Chance or Threat?
In this eye-opening episode of A Beginner’s Guide to AI, Professor GePhardT unpacks the fascinating, chaotic and sometimes alarming rise of AI-generated books. From Amazon’s restrictions on AI content to the ethics of machine-written storytelling, this episode dives deep into the future of publishing and what it means for readers, writers and creators.

We explore how AI-written books are made, why platforms are overwhelmed and how readers can distinguish human creativity from machine-made text. You’ll hear surprising real-world cases, including the Clarkesworld shutdown and the now-infamous “82% AI-written” herbal remedy category on Amazon.

📌 What you’ll learn:

• How AI book generation actually works

• Why AI is both a creative partner and a creative threat

• The risks of misinformation in AI-written books

• How to spot an AI-generated book

• Why platforms like Amazon are tightening their rules

• The future of authorship in an AI-saturated world

📧💌📧
Tune in to get my thoughts and all episodes — don't forget to subscribe to our Newsletter: beginnersguide.nl
📧💌📧

Quotes from the Episode

• “A book is more than content; it’s a relationship between the mind that wrote it and the mind that reads it.”

• “AI doesn’t dream, doubt or desire — it just predicts what comes next.”

• “AI can help creativity bloom, but it can also bury real voices under mountains of machine-written noise.”

🧑🏻 About Dietmar Fischer
Dietmar is a podcaster and AI marketer from Berlin. If you want to kickstart your AI or digital marketing journey, he’s your guy!

You can find him at Argoberlin.com

🎧 Music credit: “Modern Situations” by Unicorn Heads

// This is a repost of a great episode - and why, you ask yourself, did he not publish a new episode? Because you are nearly the only one listening to my podcast on the Thanksgiving weekend 😂

The Terminator films have profoundly shaped how society thinks about artificial intelligence. This episode analyzes concepts like artificial general intelligence through the lens of Skynet, the malevolent AI in the movies.

We explore real-world AI safety research inspired by cautionary sci-fi narratives. The episode prompts a thoughtful examination of how we can develop advanced AI that enhances humanity rather than destroying it.

With ethical, responsible innovation, we can steer the future toward an AI-enabled world that benefits all.

📧💌📧

Tune in to get my thoughts and all episodes, don’t forget to ⁠subscribe to our Newsletter⁠.

📧💌📧

About Dietmar Fischer

Host of Beginner’s Guide to AI. Economist and digital marketer helping teams turn AI from hype into workflows.Training, talks, and courses with thousands of participants. 🎙️

Go to ⁠argoberlin.com ⁠to see how we can help you!

This podcast was generated with the help of artificial intelligence. We do fact check with human eyes, but there might still be hallucinations in the output.

Music credit: "Modern Situations by Unicorn Heads"