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 Open

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/search-io-2026/ 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-vector-search-and-you-should-too 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 https://briefin.com