Summary
All three slots that ran today came back empty, so there is no cross-slot cluster to name, because there is nothing to cluster. Morning, afternoon and evening each captured zero curated reposts, zero posts from the 74 tracked AI handles, zero linked articles and zero images, and no night slot ran at all. The morning slot is the one worth reading, because it is the only one that separates two failures that look identical in a file listing: the public Nitter scrape has been structurally dead for ten consecutive days and has not produced an item since 2026-08-27, while the private bookmarks channel authenticated normally, pulled the full 66-item timeline, and measured zero new saves against its seen-state file. That distinction is the day's only real signal, and it is a pipeline fact rather than a social one. Calling a blank Saturday a quiet news day would be dishonest, and the honest read is that one channel is broken and the other is simply unused. Everything worth reading today arrived through the research and industry channels, so go straight to the daily digest and the Media Zone.
Posts
No posts captured in any slot today [morning + afternoon + evening]. Three consecutive blank windows, with nothing to rank, cluster or skip. The general feed resumes on the first slot that reaches a live Nitter instance.
Zero new bookmarks, measured rather than assumed [morning]. A forced re-run loaded the X session cookies, retrieved all 66 items on the reader's bookmarks timeline, and matched every one against the seen-state file. The reader has saved nothing since 09-04.
Most recent saves remain the 09-04 pair [morning + afternoon + evening] (cluster of 3). An inference-serving explainer separating the four caches that get conflated in deployment, where the per-request KV cache, server-side prefix caching and provider-billed prompt caching all match on exact tokens and cannot change an answer, while semantic caching matches on similarity and can return a wrong one. Alongside it, a repost arguing that an agent's context capacity scales with compute while a human's does not, so judgment outlasts code. Already on the wiki as four cache layers.
Today's actual signal, pointed to from the evening slot [evening]. Select, Compress, Reinvest has a 1990s sparse-approximation algorithm matching purpose-built video frame selectors, and shows halving per-frame token budgets buys nothing unless the saving is reinvested in more frames. Locked at the Entrance finds reinforcement learning with verifiable rewards destroys up to 67 percent of solution coverage at the first token, and recovers 37 percent of it for free from checkpoints already on disk. DRACO redistributes one end-of-trajectory rubric score across the steps that earned it and beats its own ground-truth-verifier variant.