332 items. That's how many AI releases, papers, repos, and tool launches we ingested last week into the tracker I've been building.

I sat down this morning to review the weekly summary. After 6 months of running this, I have a number burned into my brain: 85% .

That's the percentage of ingest that gets filtered as noise before anything reaches a reader.

What "noise" actually means

Not fake. Not spam. Just... undifferentiated. Here's the breakdown from this week's batch:

47 "we're excited to announce" blog posts — repackaged product updates with zero technical content

61 GitHub repos with a README that says "coming soon" or "WIP"

29 papers that are incremental variations on RLHF fine-tuning with no usable results section

38 "model launches" that are fine-tunes of Llama or Mistral with different system prompts and a new brand name

27 ecosystem announcements (funding rounds, team changes, partnerships) — real news, but not useful if you're building

That's 202 items out of 332.…