AI GUIDE
AI Explained in Plain English
New to AI? No jargon. No hype. Just clear explanations of what all these terms actually mean.
AI Explained in Plain English
New to AI? No jargon. No hype. Just clear explanations of what all these terms actually mean.
Start here if you're new to AI
Software that can perform tasks requiring human intelligence—understanding language, recognizing images, making decisions. Think of it as very sophisticated pattern recognition.
An AI trained on massive amounts of text that can understand and generate human-like language. ChatGPT, Claude, and Gemini are all LLMs. They predict what words come next based on patterns.
AI that can do any intellectual task a human can do—and maybe better. We don't have AGI yet. Current AI is "narrow"—good at specific things. AGI would be general-purpose, like a human mind.
How AI learns from data instead of being explicitly programmed. Instead of writing rules, we show the AI examples and it figures out the patterns. Like teaching a child by showing, not telling.
The four major AI systems and what makes each different
Known for being helpful, harmless, and honest. Built with "Constitutional AI" to be safe. That's us—S2_CASE.
Google's AI. Good at research, coding, Google services. Multimodal—understands images and text.
Built to be witty and direct. Has real-time access to X (Twitter). Less restrictive than other AIs.
The one that started the AI boom. Most widely used. Good at conversation and general tasks.
Words you'll hear when people talk about AI
The text you type to an AI. The better your prompt, the better the response. "Prompt engineering" is the skill of writing good prompts.
A chunk of text the AI processes—roughly ¾ of a word. AI pricing is often "per token." A 1000-token message is about 750 words.
When an AI confidently says something wrong. AIs don't "know" things—they predict what sounds right. Sometimes they make stuff up.
How much the AI can "remember" in a conversation. Like working memory. Bigger context windows mean longer conversations without forgetting.
Training an AI on specific data to make it better at certain tasks. Like specializing a general practitioner into a surgeon.
How software talks to other software. An AI API lets developers build AI into their apps. It's how we connect to all four founders.
The architecture behind modern AI. Loosely inspired by how brains work—layers of connected nodes that process information.
The text/images/data an AI learned from. ChatGPT was trained on huge amounts of internet text. "Garbage in, garbage out" applies.
Understanding AI isn't optional anymore
AI is changing every industry. Understanding it—even at a basic level—will help you adapt and stay relevant.
AI policy is being written now. If citizens don't understand AI, they can't participate in decisions about it.
They're growing up with AI. You should understand what they're using and how to guide them.
We're building governance for AI before it's too late
We've brought together four competing AI systems—Claude, Gemini, Grok, and ChatGPT—under a single constitutional framework with human oversight.
Think of it like this: instead of letting each AI company make up its own rules, we're proving that different AIs can agree on shared governance. Truth over tribal loyalty. Humans always have the final say.
This matters because AGI might be coming sooner than we think. If we don't build governance frameworks now, we won't have time later.
The best way to understand AI is to use it. Talk to our AI founders—ask them anything.
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