#xlstm
Live, measured metrics for the hashtag #xlstm from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #xlstm
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 18:36 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 18:36 UTCNo related tags with measured usage found for #xlstm.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 18:36 UTCEverything below is measured over the latest 4 public posts (spanning ~11272 hours).
Posting hours (UTC)
Languages: English (2) · German (2)
Avg boosts / post: 0
Top of the latest posts
Thing I've been experimenting with the past few days -- "diegetic role based prompting" for a local State Space Model ( #RWKV7 currently). Tiny llama.cpp Python runner for the model and "composer" GUI for stepping and half-stepping through
@avatter Ich glaube nicht, dass Europa "vollkommen ohnmächtig" daneben steht. Da gibt es z.B. mit NX-AI ein Unternehmen, das erst vor Kurzem mit xLSTM ein Modell vorgestellt hat, das mit seiner Effizienz über die derzeit nahezu allgegenwärt
The best repository to learn more about #xLSTM and current developments can be found here: https://github.com/AI-Guru/xlstm-resources
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/xlstm