#grokking
Live, measured metrics for the hashtag #grokking from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #grokking
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 02:02 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 02:02 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 02:02 UTCEverything below is measured over the latest 17 public posts (spanning ~25296 hours).
Posting hours (UTC) — busiest: 06:00
Languages: English (12) · Russian (4) · French (1)
Avg boosts / post: 0.4
Top of the latest posts
People think #LLM #chatbots are just memorizing facts, and this belief reflects to benchmarks (multiple choice questions about trivia), and to prompt design (zero shot examples instead of explanation). That's not what they do though. Becaus
At long last, the blog post I've been working on for what seems like forever is finished! https://cprimozic.net/blog/growing-sparse-computational-graphs-with-rnns/ It's packed with lots of really cool stuff: ML #interpretability, #grokking,
Можно ли пересадить алгоритм из маленькой модели в LLM? Эксперимент с grokking, residual stream и линейной проекцией Современные LLM (Large Language Models) — это черные ящики. Мы знаем, что они что-то умеют, но как они это делают внутри —
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/grokking