Tech It From Me

We hear the term “large language model” everywhere these days—GPT-4, Claude, Gemini—but what does it actually mean? Are LLMs just next-gen autocomplete machines? Are they intelligent? And how do they really work under the hood?

In this episode, I break it all down in plain English—no math degree required.

✅ What LLMs actually are (and what they aren't)

Whether you’re a tech veteran, a business executive, or just curious about AI, this episode will leave you smarter and better equipped to lead in the age of generative AI.

📖 Read the full write-up: Behind the Buzzwords: What Is a Large Language Model, Really?

It’s 2025. We’ve got mesh networks, gigabit plans, Wi-Fi 6—and even Wi-Fi 7 breaking through the horizon. So why does your video still buffer, your Zoom call still freeze, and your smart home still feel… not so smart?

In this episode of Tech It From Me, Mike Madole breaks down what’s really going on with Wi-Fi today—and why it still frustrates so many people. From invisible interference to overloaded devices, he unpacks the biggest culprits behind poor performance and shares practical fixes you can apply right now.

✅ Why Wi-Fi isn’t the same as your internet speed

Whether you’re tech-savvy or just tired of buffering, this episode gives you the insight—and the checklist—to finally make your Wi-Fi work the way it should.

📖 Read the full write-up: Why Wi-Fi Still Sucks in 2025 (And What You Can Actually Do About It)

What happens when you spend nearly 30 years in IT — and live through every major shift from dial-up to AI?

In this episode of Tech It From Me, I reflect on how IT departments have evolved since the 1990s. From my early days teaching computers at New Horizons to the dot-com chaos of Teilhard Technologies, I’ve seen the IT function go from heroic help desk wizardry… to outsourced cost center… to something entirely new in the age of cloud and Augmented Intelligence.

We’ll talk about:

If you’ve ever worked in tech, relied on tech, or wondered where IT is headed next — this one’s for you.

🎧 Subscribe, share, and join the conversation.

Artificial Intelligence didn’t start with ChatGPT — and it’s not all sci-fi and speculation. In this episode, we take a journey through the real history of AI, tracing its evolution from Alan Turing’s thought experiments to the transformer models reshaping today’s world.

You’ll hear about the breakthroughs, setbacks, and surprising twists that defined each era — from rule-based expert systems and early neural networks to the rise of machine learning, deep learning, and modern generative AI.

Along the way, I connect these milestones to the lessons I’ve learned through certifications in AI ethics, generative models, and machine learning — and share why understanding where AI came from is essential to making sense of where it’s going.

📖 Read the full write-up: The Real History of AI: From Turing to Transformers

OpenAI has begun piloting watermarking technology to identify AI-generated text — a move that could reshape content creation, education, and business.

In this episode, Mike explores:

Is this the tool we need to fight misinformation and plagiarism, or the beginning of a surveillance culture in content creation?

📖 Read the full write-up: Watermarking AI: Will It Change the Way We Write Forever?

Nvidia just became the world’s first $4 trillion publicly traded company.

A company that started out making graphics cards for gamers is now worth more than Amazon and Google combined.

In this episode, I unpack Nvidia’s incredible journey:

Is Nvidia’s astronomical rise sustainable? Or are we heading into an AI bubble?

Tune in to find out.

💡 Listen now and let me know your thoughts. Is Nvidia’s $4 trillion valuation justified?

📖 Read the full write-up: Nvidia Hits $4 Trillion: How the AI Gold Rush Changed Everything

Microsoft just laid off 9,000 employees. But they’re not alone – Amazon, Google, and countless startups have done the same. No matter how strong your performance is, no one is immune to layoffs in tech.

In this episode, I share my real experiences of being laid off twice and what I learned each time.

We’ll talk about:

✅ Why tech layoffs happen

✅ How to protect yourself legally and financially

✅ Why staying relevant goes beyond degrees and certifications

✅ The power of your network and keeping your LinkedIn up to date

✅ How leaders can retain great people in uncertain times

Plus, I’ll share the mindset shift that helped me build resilience and continue to grow my career after each setback.

📖 Read the full write-up: How to Build an IT Career That Survives Layoffs

Canada’s proposed Digital Services Tax (DST) aimed to make tech giants like Google, Facebook, and Amazon pay their fair share. However, after the U.S. issued trade threats and political pressure, Canada backed down, scrapping the tax before it ever took effect entirely.

In this episode, I break down:

💡 Bottom line: If we want to strengthen Canada’s digital future, is taxing it the solution, or is there a more innovative way to empower it?

📖 Read the full write-up: Canada’s Digital Tax Backtrack: Fair Play or Policy Fail?

Will AI Really Replace All Mundane Jobs?

Geoffrey Hinton, the “Godfather of AI,” says AI will replace everyone doing mundane intellectual work. That’s a bold claim.

But is it true?

In this episode of Tech It From Me, I break down Hinton’s recent comments, explore which jobs are genuinely at risk, and share why I don’t entirely agree that AI will take over everything, at least not yet.

I’ll cover:

If you’ve ever worried about AI replacing your job, this episode will challenge you to think differently about your unique strengths in an AI-driven world.

🎧 Listen now and let me know: Do you think AI can truly replace human nuance?

Want the full write-up? Read the companion article: Will AI Replace All Mundane Jobs? My Take on Geoffrey Hinton’s Bold Claim.