[onion2k]

A recommendation engine that looks at my browsing history, sees what blog posts or articles I spent the most time on, then searches the web every night for things I should be reading that I’m not.

This kind of exists in the form of ChatGPT Pulse. It uses your ChatGPT history rather than your browser history, but that's probably just as good a source for people interested in using it (e.g. people who use ChatGPT enough to want it to recommend things to them.) https://openai.com/index/introducing-chatgpt-pulse/

[Gigachad]

It's also essentially every social media platform with an algorithm selected feed.

[FinnKuhn]

A lot of social media platforms only recommend recently uploaded content or at least heavily favor it.

The idea sounds to me more like a feed for independent blogs/articles though, which is what an RSS reader once was supposed to be. Have we come full circle?

[socalgal2]

Except those algos don't work. No idea if the LLM works.

[fhd2]

I'm sure they work splendidly... to keep the average person on the platform as long as possible and show them ads :)

[aljgz]

They do work, extremely well, not for us though!

[simianwords]

Do you not think that’s what the post meant? That it could work for us rather than them?

[Gigachad]

They probably won’t though. The commercial LLMs will be tuned to work for them as well soon. And your local LLM won’t be allowed to scrape the internet since it’s all locked down now.

[blooalien]

LLMs don't "scrape the Internet". The tools and interfaces that use LLMs for the language part of things do any necessary scraping and feed the results into the LLM's "context". That part about "tuned to work for them" is a serious concern though.