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Comment · 5 months ago
I'd argue LLMs are getting cheaper, so it will get more feasible for LLMs to soon act on our behalf, bringing only what we're interested in.

Projects like OpenClaw and Hermes already show that this can work whether the source is RSS or simply a website the agent visits.

Even Google now envisions this, since they recently announced "information agents" (https://blog.google/products-and-platforms/products/search/s...) that will keep working in the background. They surely have an index they can use, but I wonder whether that's necessary? AI agents like Claude Code suggest it's possible to use simple keyword searches, without maintaining vector indexes - https://www.tigerdata.com/blog/why-cursor-is-about-to-ditch-...

It could be that soon we're gonna get a fully personalized briefing on the topics that we're interested in, or maybe a new kind of feed, replacing social media.

I'm actually working on the briefing idea myself: https://briefin.com

Comment · 5 months ago
Thanks :) Each brief brings the stories in the format shown on the page.

I myself tried n8n in the beginning but these workflows get pretty complex pretty quickly.

Comment · 5 months ago
I actually recently submitted something similar - https://briefin.com/hackernews/

Less like good-old newspaper, but instead made for scannability & readability, with discussion highlights for each story.

Any feedback greatly appreciated!

Comment · 5 months ago
I once made a slide deck on vector vs keyword search, right when vector dbs were on the rise:

https://vec3.ai/

Seeing the confusion this article caused maybe someone will find it useful.

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