this post was submitted on 11 Oct 2025
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Well, I mean it's not all marketing and hype. I was able to get it to write a piece of code to scrape a RSS feed and email me if it met certain perameters. I couldn't have done that without a real grind / if at all. This is effectively the only time I've used it, and I think it's atrocious the amount of petty shit people use it for.. but there can be a functional benefit to generative AI. Makes me shed a tear thinking of the energy demand though.
People have been making web crawlers for the past 30 years. Why do you need to torch an acre of forest to do the same?
I'm sure people have been making crawlers for 30 years... But I haven't been, so I've been able to access "knowledge" and shape it for my use case. I think equating ~5 queries to torching an acre of forest is a bit hyperbolic which doesn't help anyone.
i have been using "rss2email" for years. extremely simple, works great, deterministic. no need to reinvent the wheel for a simple use case, and thats half the point here - a lot of "solutions" being found were already solved.
In this scenario it needs to read a 5 day forecast capture key elements and only send the email/ alert the first time and not the following 4 days(if the alert remains the same) so in my previous attempts at RSS reader apps already in existence, they didn't meet the need.
Isnt this essentially the case by definition? If LLMs can solve a problem it's only because a human already solved that problem (not that this is any different from what humans do)
Lame story.