I am getting sick of this conflating of every case of "computer use algorithm" into the single gelid blob of "AI" making it impossible to have a productive conversation on the subject

When people say they're "against AI", they usually mean certain specific things. "Image generators displacing human-made art" and "LLM summarizers and chatbots being shoved into every software and website we use regardless of our preferences", maybe with a side of "black box deep learning algorithms being used for predictive policing and determining court sentences" and the like if they're particularly woke.

We don't like AI books being sold alongside real ones. We don't like ChatGPT being used to write scientific papers or legal briefs. We don't want AI slop code used in the programs we depend on every day. We especially don't like the next generation of children and youth being taught that this is the normal and accepted way of doing things.

We do not mean spellcheck, or machine translation, or optical character recognition. We do not mean procedural generation or enemy pathfinding in video games. And whatever genuinely beneficial use case you are bundling into "AI" when you tell us that we shouldn't be blanket against it, if it doesn't fall under the above rubric, we don't mean that either.

We are against the de-skilling of the human species and the wholesale replacement of the output of our brains with low-quality machine-generated trash. If we can keep whatever your brilliant "AI" hack is while eliminating all the rest of this crap, I'm all for it. But using those edge cases and overdefinitions to delegitimaze criticism of AI in the broad strokes is at best repeating bad-faith propaganda. Stop it.

@XauriEL I like to think in terms of ratio of output quantity to input quantity.

Below 1 (classification): OCR, spam filtering, driving aids. Sure, with the understanding that those still fail at times.

Around 1 (transformation): translation. image processing. Far from perfect.

Greater than 1 (generation): Too many downsides at this point.

@XauriEL @crowbriarhexe Interestingly I had a conversation along this line with a software vendor just this week. They were frustrated by the “AI” term making it harder to talk about the (genuinely useful!) machine recognition automation they offer to archives and memory institutions to make hand written historical records more accessible. 1/2

@XauriEL @crowbriarhexe It’s an angle I hadn’t considered until then, that the AI grift harms people making useful, tightly focused and genuinely responsible tools with machine learning technologies.

It’s as if the grift is leaching on the genuinely useful work of others and claiming “hey we’re like that only use it EVERYWHERE.” It’s parasitic. 2/2