RE: https://infosec.exchange/@cR0w/116244751172093572

I'm so sorry in advance for this long post, but this has been on my mind lately and I want others' thoughts on it.

I think I agree with the person I'm quoting, but I can't be sure because despite using it, I'm starting to hate "AI" as a term. It's not their fault that the definition has been mutilated, but I have to wonder if they're against AI in theory or in it's current form.

My stance is against any sort of "AI" that steals the work of others and either claims it as original, or uses it to modify someone's otherwise untainted creation. I assume that's what they're referring to, in which case I 100% agree.

That said, I'm unaware of any issues with machine learning itself when ethical and, of course, not based around widespread theft. So, OP, what do you think about using such programs to automate painfully tedious tasks? This wouldn't steal from others or remove any creativity from a work, only use a algorithm to, for instance, display rough subtitles as a placeholder for, or in absence of, proper ones. It could also be used as a starting point for a person to later refine. This kind of thing has been around for years, in the same way text-to-speech voices have helped the vision impaired and even ADHDers like myself (I have trouble reading long-ass academic essays).

Previous examples of this tech haven't caused harm, so if a system for generating subtitles is FLOSS and improves with usage (I think that's what machine learning means?), then it's a good thing, right? How do I distinguish between such software and the dystopian slop machines we're all rallying against?

#ai #GenerativeAI #AISlop #FuckAI #NoAI #LLM #LLMs

@cloudskater You bring up another pain point in the AI mess we're in and that's the definition of AI. I don't consider traditional machine learning itself to be harmful. However, generative AI and agentic AI systems are inherently terrible, or at least extremely inefficient, for anything besides some lulz. And wealth extraction, of course.

Summarization of papers I think is something that can be done responsibly. In fact, I like what @nopatience has done with summarizing posts for an RSS feed. It's not for you to read the summary instead of the original post, but so you can decide if you want to read the post.

Honestly, it's tough to avoid all AI systems these days, especially if you work in tech. I wouldn't stress about that part. If you focus on the accuracy, consistency, and efficiency of a system, you should naturally weed out most AI garbage. Or at least that's been my experience so far.