Mr. Fred's Tech Talks

This October, as the pumpkins glow and the phishing emails flow, Mr. Fred dives into the spooky side of cybersecurity! In this Cybersecurity Awareness Month special, we explore the Oh Behave! 2025-2026 report from Cybsafe & The National Cybersecurity Alliance revealing how people say they care about online safety but still make haunting mistakes. From zombie passwords and overconfident Gen Z users to privacy fatalism and AI-powered scams, we’re breaking down the human side of cyber risk.In this episode, you’ll learn:Why awareness doesn’t always change behaviorHow overconfidence makes Gen Z a hacker’s dreamWhat “privacy fatalism” is and how to beat itEasy daily habits to boost your protectionTech Tip of the Episode: “Brush Your Digital Teeth” — simple nightly habits that keep your data fresh and secure.👉 Visit GetMeCoding.com for more resources and downloads. Stay curious. Stay safe. And remember to think before you click!

In this final episode of the five part AI mini-series, Mr. Fred tackles three real-world questions: how AI affects learning in schools, what it means for medicine, and whether your prompts actually train chatbots. Hear clear answers about how AI tools are changing our world and how curiosity and creativity keep us ahead of the machines. Download the Prompt Guide and graduate from AI user to AI thinker! 🎓 Grab the free Prompt Guide → getmecoding.com/prompt-guide

In Episode 9 of Mr. Fred’s Tech Talks, we continue our AI mini-series by tackling one of the most important skills you can build: prompting with precision.Just like following a software specification or a cybersecurity checklist, details matter. Mr. Fred shares a story from his days navigating with topographic maps and a lensatic compass, proving that clarity and focus have always been survival tools.We’ll break down the CRAFT acronym for effective prompting:Clear – Be specific with your request.Role – Give AI a perspective.Add Details – Context strengthens results.Format – Shape how output is delivered.Tweak – Refine until it’s right.Along the way, we add some nostalgic soundbites (yes, even Bill and Ted get a cameo) to make it fun and memorable.This Episode’s Tech Tip: Treat every prompt like a specification document—precision pays off.

How does ChatGPT actually learn? In Episode 8 of Mr. Fred’s Tech Talks, we go behind the curtain to explore how Large Language Models are trained and why the process isn’t as magical as it looks.You’ll discover:How Large Language Models train step by step, billions of rounds of “guess the next word.”Why tokens are the LEGO bricks of AI learning.How GPUs, servers, and warehouse-sized data centers form the backbone of AI training.A simple library analogy that makes servers easy to understand.What happens when training goes wrong: bias, hallucinations, and overfitting.AI isn’t just software, it’s powered by huge amounts of energy, specialized hardware, and careful fine-tuning by humans. And while it’s powerful, it’s not perfect. These systems don’t “think” like we do they predict patterns, one token at a time.💡 Tech Tip of the Episode: Try asking ChatGPT/CoPilot/Gemini/Grok etc. a simple question, then twist it:“Who was the first person to walk on the moon?” → Neil Armstrong“Who was the first person to walk on the sun?” → Watch how it tries to answer the impossible.This little experiment shows why AI can amaze us one moment and confuse us the next.Join me in Episode 8 to learn how AI models are trained, what really happens inside data centers, and why understanding this matters for parents, teachers, and anyone curious about the future of technology.

In Episode 7 of Mr. Fred’s Tech Talks, I dive deeper into Large Language Models (LLMs) and explore how they’re trained. Using the fun analogy of a parrot that never stops practicing, Mr. Fred explains the 9-step training pipeline: from collecting massive datasets and tokenizing text, to neurons, weights, backpropagation, GPUs, fine-tuning, and safety alignment...but in a LOW TECH JARGON way.I’ll also talk about probability math, why LLMs don’t really “understand” but instead predict the most likely next word, like rolling loaded dice. Along the way, enjoy some nostalgic sound bites from movies and TV that connect the dots between memory, patterns, and AI.🎧 Highlights:The parrot analogy for LLMsWhat AI “neurons” are (tiny math functions, not brain cells)Why data quality and fine-tuning matterProbability explained with dice and jokesTech Tip: Ask AI how it got its answerWhether you’re a parent, teacher, student, or just curious about AI, this episode will give you a fun and clear view of how language models actually learn.

Artificial Intelligence isn’t just for science fiction anymore...it’s all around us. From Netflix recommending your next favorite show to Siri answering your questions, AI is already part of everyday life. But what is Artificial Intelligence, really?In Episode 6 of Mr. Fred’s Tech Talks, I kick off a brand-new AI series that leads straight to ChatGPT. In this episode, you’ll learn:✅ The simple definition of Artificial Intelligence✅ The difference between Narrow AI and General AI✅ How algorithms act like recipes for machines✅ Why machine learning is practice for computers✅ The programming languages (Python, C++, CUDA) that bring Large Language Models to life✅ How GPUs—the same graphics cards used in video games—make AI training possibleWhether you’re a student, parent, or teacher, this episode will help you understand how AI really works without the jargon. It’s the perfect first step into a series where we’ll dive deeper into Large Language Models and explore how tools like ChatGPT are changing the way we learn, work, and create.Tune in now and subscribe so you don’t miss the next episode in this AI journey!Learn more at GetMeCoding.com