#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 · mas.to (Mastodon public tags API) · fetched 2026-09-30 13:51 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 2026-09-30 13:51 UTCNo related tags with measured usage found for #foundationmodels.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-30 13:51 UTCEverything below is measured over the latest 40 public posts (spanning ~3365 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (37) · Chinese (China) (1) · Russian (1) · German (1)
Avg boosts / post: 0.5
Top of the latest posts
Code blocks in blog posts can be terrible to listen to. So in Xarra, Foundation Models turn them into plain-language audio explanations... context-aware and actually useful on the go. Foundation Models are for much more than summarization.
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
"Medical Hallucination in Foundation Models and Their Impact on Healthcare" Physicians annotated hallucinations in real medical cases; chain-of-thought and search augmentation reduced errors, but non-trivial hallucinations persisted. #Found
#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