#interpretability
Live, measured metrics for the hashtag #interpretability from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #interpretability
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-11-09 05:10 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-11-09 05:10 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-09 05:10 UTCEverything below is measured over the latest 40 public posts (spanning ~5193 hours).
Posting hours (UTC) — busiest: 05:00
Languages: English (35) · Russian (2) · Spanish (1) · Ukrainian (1)
Avg boosts / post: 0.1
Top of the latest posts
My Q4_K_M Qwen3-0.6B writes `return True` where BF16 writes `return False`. So I built heterodyne: it diffs two llama.cpp runs token by token and layer by layer, then writes one run's residual stream into the other to find which layers, and
"Transparency in Agentic AI: A Survey of Interpretability, Explainability, and Governance" synthesizes methods for LLM agents across the full lifecycle. Key result: a five-axis taxonomy and the Minimal Explanation Packet (MEP) for trajector
🍎 Apple https://podcasts.apple.com/ca/podcast/already-clean/id1769969487?i=1000800045994 🎵 Spotify https://open.spotify.com/episode/5j7Yt9seInIfXS8YaIll42?si=75f501c711c94cf4 ▶️ YouTube https://youtu.be/yfRvv9l0tnw 🎧 Listen: https://www.
What “interpretability” means
WikipediaIn mathematical logic, interpretability is a relation between formal theories that expresses the possibility of interpreting or translating one into the other.
“Interpretability” on Wikipedia (CC BY-SA) →#interpretability across platforms
every network with a public tag surfaceFollow #interpretability straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/interpretability