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.

Term: ChatGPT Level: Beginner Category: Core Concept 🪄 Simple Definition: ChatGPT is an AI chatbot built by OpenAI that can answer questions, explain ideas, and create text that sounds human. 🌟 Expanded Definition: ChatGPT runs on a GPT model and is designed for conversation. Instead of just generating text, it can follow instructions, hold context across turns, and adjust tone or style. People use it to brainstorm ideas, draft emails, explain concepts, or even role-play scenarios. Think of it as a “smart assistant” that communicates in natural language. ⚡ In Action: You ask: “Write a bedtime story about a robot who loves pizza.” ChatGPT replies with a fun, creative story in seconds. 💡 Pro Tip: The clearer your prompt, the better the result. Treat ChatGPT like a collaborator — the more context you give, the more useful the answer. For great prompt advice, refer to this post by @Roger Richards https://www.skool.com/ai-bits-and-pieces/get-around-prompting-8-core-chatgpt-skills-to-always-get-the-result-you-want?p=d6453dc8

I was listening to an expert panel discussion on “Elevated Entertaining.”One of the designers mentioned that although he used to be anti-AI, he now considers it a godsend. He even subscribes to a $20-a-month plan and uses it for almost everything. He went on to say that when you search in ChatGPT, it pulls information from places like Google and Bing. He added that it isn’t as strong for images, so he relies on Pinterest and Instagram for visual inspiration. It was a great example of how people—even industry experts—are increasingly integrating AI into their work.

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.

Term: Large Language Model (LLM) Level: Beginner Category: Core Concept 🪄 Simple Definition: A Large Language Model (LLM) is an AI that has been trained to understand and generate human-like text. 🌟 Expanded Definition: An LLM is a type of AI built by training on massive amounts of text data (books, articles, websites). It learns patterns in language — how words and ideas connect — so it can answer questions, explain concepts, or even write stories. It doesn’t “think” like a human, but it can imitate conversation and knowledge in useful ways. ⚡ In Action: When you ask ChatGPT a question, the LLM inside it predicts the most likely next words to form a meaningful answer. 💡 Pro Tip: Don’t get stuck on the word “large.” It simply means the model was trained on a lot of data and has many parameters. More data and parameters usually mean smarter, more flexible answers.