#foundationmodels
Live, measured metrics for the hashtag #foundationmodels from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #foundationmodels
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 2026-10-21 10:58 UTC2 uses by 2 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 2026-10-21 10:58 UTCNo related tags with measured usage found for #foundationmodels.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-21 10:58 UTCEverything below is measured over the latest 40 public posts (spanning ~3454 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (36) · Chinese (China) (1) · Russian (1) · German (1)
Avg boosts / post: 0.3
Top of the latest posts
A primer on embeddings: Development Seed has published an approachable primer on Earth data #embeddings, available both as a poster and as a zine. It explains how these representations learned by geospatial #FoundationModels are generated a
Two more papers from the DIG team accepted at #EMNLP2026 (Budapest, 24–29 October) – that makes three this year! Both tackle the same question: can we find complex events in multivariate time series from a natural-language description alone
Foundation models and earth embeddings: Konstantin Klemmer et al.’s #ISPRS 2026 tutorial on #FoundationModels and #EarthEmbeddings pairs free, MIT-licensed slides with hands-on Colab notebooks spanning four practical use cases, from direct
#foundationmodels across platforms
every network with a public tag surfaceFollow #foundationmodels 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/foundationmodels