LLMs & Generative AI · 2.4
🎨 Generative AI Beyond Text
Images, audio, video — and the ethics that come with them⏱ ~2 min
The same 'learn patterns, then generate new examples' idea works far beyond text. Generative AI can now produce images, music, voices, and video from a text description — with huge creative potential and serious ethical questions.
The Main Types of Generative AI
| Type | What It Does | Example Tools |
|---|---|---|
| Text | Writes, summarizes, translates, codes | ChatGPT, Claude, Gemini |
| Image | Creates pictures from text descriptions | DALL·E, Midjourney, Stable Diffusion |
| Audio / Voice | Generates speech, music, or clones voices | Text-to-speech engines, music generators |
| Video | Generates or edits video clips from prompts | Emerging tools like Sora and others |
| Code | Writes and explains software | GitHub Copilot, and coding-focused LLMs |
How Image Generators Work (Briefly)
Most image generators use a technique called diffusion. During training, the model learns to remove noise from images. To generate, it starts with pure random noise and repeatedly 'denoises' it, guided by your text prompt, until a coherent image emerges. It's like sculpting a picture out of static.
The Ethics You Have to Think About
⚠ WarningGenerative AI raises real, unsettled questions. Training data often includes copyrighted work scraped from the internet — the legal status is being fought over in courts right now. Generated art can imitate a living artist's style. Voice cloning enables fraud. Deepfakes enable harassment and disinformation. Being a responsible user means thinking about consent, attribution, and harm — not just what's technically possible.
🔒 SecurityAs a creator: check the terms of the tool you use, don't pass off AI work as human when it matters, be transparent when content is AI-generated, and never use voice/face generation to impersonate a real person without consent. These aren't just ethics — increasingly they're the law.
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