Flutterby™! : more effective than censorship

I'm implementing a video chat feature this morning. I started out with a Medium post on WebRTC basic concepts and creating a simple video call app, but it turns out that that's mostly just a rephrasing and introducing of more NPM packages of Fireship WebRTC Video Chat on Firebase (to be fair, the former has a little more on building your own STUN server rather than using Google's), which itself is a distillation of the Fireship WebRTC Firebase demo code.

I apparently read very very quickly. Whenever I'm helping people with their computers, I have a long moment of "okay, we're looking for the button that says ... on it, so ..." and then a long detailed description of how they can find it as I watch their mouse cursor, when I absorbed the screen and located the action item sub-second. So I get why people are using LLM "summarization", but this comment spoke to me in the context of this morning while I'm digging through Medium/LinkedIn resume padding slop and thinking about how "AI" automates that on an industrial scale.

Ted McCormick ‪@tedmccormick.bsky.social‬

Curtailing people’s ability to read widely and carefully, to locate, assess, and compare different sources for themselves, and to write in their own voice about what they find and what it means, is arguably more effective than censorship. It is also one of the most obvious effects of generative AI.