A Weekly Smash Up is a recap lesson where we connect the last five AI Terms into one big idea — showing how they work together in practice. Think of it as a highlight reel for your AI learning. This week is all about the building blocks of AI — what it is, the models behind it, and how we start talking to it. For this, we smash up Terms 1–5 of the AI Terms Beginner Classroom course. Here’s how they connect! 🟦 AI (Term 1) Artificial Intelligence is the umbrella — teaching computers to act smart.🔧 In practice: Think of AI as the “smart helper” built into your tech. 🟩 Large Language Model (LLM) (Term 2) A type of AI trained on massive amounts of text to understand and generate language.🔧 In practice: The LLM is the engine that powers the smart helper. 🟨 GPT (Term 3) Generative Pre-trained Transformer — the specific type of LLM powering ChatGPT.🔧 In practice: GPT is the engine design — specialized for predicting and generating words. 🟧 ChatGPT (Term 4) The chatbot application built on top of GPT.🔧 In practice: ChatGPT is the car you drive, powered by the GPT engine. 🟥 Prompt (Term 5) The instruction you give to ChatGPT to get an answer.🔧 In practice: Your prompt is the steering wheel — guiding where the car goes. 🔄 The Flow in Action AI → the big field LLM → the type of model GPT → the specific engine ChatGPT → the tool you use Prompt → the way you drive it That’s the foundation of AI in plain English — the what, the how, the tool, and the way you interact with it.

If benchmark charts make your eyes glaze over, you’re in the right place. Most people don’t need all the benchmarks — just the ones that actually change how an AI model feels when you use it. That’s why we’re launching a brand-new classroom this week: The Big 5 Benchmarks — Explained for Beginners. No jargon. No math. No research papers. Just simple, practical explanations of the five benchmarks that matter most when choosing or comparing AI models. Inside, you’ll learn what each benchmark really measures — each one includes a plain-English breakdown and real-world examples so you immediately see why it matters. Because when you know the right benchmarks, you stop guessing which model is better — and start choosing the model that fits the job. 💡 Takeaway Understanding the Big 5 benchmarks turns AI from mysterious to manageable — and helps you use the right model with confidence. Go to Classroom: Get Smarter LLMs Benchmark Stats Made Easy https://www.skool.com/ai-bits-and-pieces/classroom/fd2b30f7?md=79d6fd21074e45c5a88c54bf2389d67a

Welcome to the Out of the Box series — where I explore what can be built with no-code and low-code AI tools in 30, 60 or 90 minutes. No manuals. No tutorials. Just curiosity and creation in motion. 🧩 App: Sora 2 by OpenAI 🕒 Time: Under 90 Minutes 📂 Category: AI Video Reimagining of a boyhood dream 🎥 What Is Sora 2? An AI video generation platform that transforms a simple text prompt into lifelike, cinematic scenes — complete with movement, lighting, and personality. It’s like having a film crew, actor, and editor… all powered by one prompt and the inspiration of visually capturing a dream. ⚙️ What I Did Out of the Box I continued to experiment with Sora 2 by moving beyond still pictures as in Out of the Box in 60. This is what happens when you can finally capture a childhood dream that follows you your entire life… Meet Wilder Wilder is my first artistic attempt to bring to life the wolf who has visited my dreams since I was six years old. Every two years, like clockwork, a wolf would appear in my dreams. Always six feet behind me. Always with piercing blue eyes. Always present… but never attacking. Scene 1: Wilder experiences the wolf for the first time. Click to view the scene: https://sora.chatgpt.com/p/s_6928cb4492a88191a3781b3b9724c23b 🎬How it was created: I built Wilder and the wolf by testing and refining several Sora 2 prompts, creating a character, and shaping the wolf and the scene until it started to resemble my recurring dream.