Hacker News is becoming an AI news feed and it is getting

AI models, pricing updates, and legislative debates are currently drowning out everything else on Hacker News. It feels like we've shifted from a community focused on "hacking" in the original sense to a curated stream of AI business press releases. If you're looking for actual technical breakthroughs or unconventional software engineering, you have to dig through layers of "New LLM released" posts that are essentially just marketing fluff.

The core problem is that the signal-to-noise ratio is plummeting. While AI is undoubtedly the most significant shift in computing since the internet, not every benchmark update or pricing tweak for an API is a "hack." We're seeing a massive influx of business-centric news that doesn't necessarily belong on a site dedicated to the technical side of programming and startup building.

If you are trying to build a real-world AI workflow or looking for a practical tutorial on how to actually deploy these models, HN is becoming less helpful because the feed is saturated with superficial announcements. I'm seeing a desperate need for a dedicated space—or at least a robust filtering system—where users can separate the hype from the actual engineering.

Imagine if the Y Combinator team implemented a granular filter. Instead of a binary "AI or not AI" toggle, we could have categories. One for the business side (funding, legislation, pricing) and one for the deep dive technical side (architecture, self-hosting, prompt engineering). That way, someone interested in the economics of LLM agents wouldn't be forced to see the same content as someone trying to figure out how to optimize a local deployment of Llama 3.

Right now, the community is just absorbing this flood of content, but it's pushing the "hacker" spirit to the margins. We need a way to categorize this information so that the technical discussions—the ones that actually involve code and architectural trade-offs—don't get buried by the latest corporate announcement. Whether that happens via a new platform or a long-overdue feature update to the HN codebase, the current state of the feed is unsustainable for anyone who isn't exclusively tracking AI business trends.