#aimodels

Live, measured metrics for the hashtag #aimodels from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #aimodels

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.

$110.68/ year · 8-character #name
Claim #aimodels — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
9
Uses / 7 days
Mastodon
9
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0.1/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-14 14:40 UTC
1
09-08
2
09-09
1
09-10
3
09-11
0
09-12
0
09-13
2
09-14

9 uses by 9 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 2026-09-14 14:40 UTC
#aimodelsecurity
1 uses · 1 accounts / 7d
#aimodelselection
0 uses · 0 accounts / 7d
#aimodelscommoditization
0 uses · 0 accounts / 7d
#aimodels_jp
0 uses · 0 accounts / 7d
#personalizedAImodels
0 uses · 0 accounts / 7d
#aimodelsvsmath
0 uses · 0 accounts / 7d
#aimodelsgatekeeping
0 uses · 0 accounts / 7d
#aimodelsafety
0 uses · 0 accounts / 7d
#aimodelseverywhere
0 uses · 0 accounts / 7d
#aimodelsincybersecurity
0 uses · 0 accounts / 7d
#aimodelsdebate
0 uses · 0 accounts / 7d
#aimodelsunanimousagainsttrump
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-14 14:40 UTC

Everything below is measured over the latest 40 public posts (spanning ~493 hours).

Posting hours (UTC) — busiest: 16:00

00:0012:0023:00

Languages: English (40)

Avg boosts / post: 0.5

Top of the latest posts

  • Terence Tao @tao : The math behind today’s LLMs is actually simple. Training and running them mostly uses linear algebra, matrix multiplication, and a bit of calculus, material an undergraduate can handle. We understand how to build and ope

    Pustam | पुस्तम | পুস্তম🇳🇵@[email protected]♥ 0↻ 32026-09-14 01:17 UTCView post →

  • Open-Source AI and Open Models Reading List https://www.interconnects.ai/p/open-source-ai-reading-list Comments: https://news.ycombinator.com/item?id=49690260 #HackerNews #OpenSourceAI #AIModels #ReadingList #TechNews #Innovation

    Hacker News@[email protected]♥ 0↻ 02026-09-14 01:11 UTCView post →

  • via #AIFoundry : Announcing Azure AI Speech LLM 2607: Better Multilingual Accuracy, Easier Customization https://ift.tt/5MoScf0 #AzureAI #Speech #LLMSpeech2607 #MultilingualAI #SpeechToText #AIModels #VoiceRecognition #NLP #LanguageTechnolo

    Brandon H :csharp: :verified:@[email protected]♥ 0↻ 02026-09-11 16:36 UTCView post →

#aimodels across platforms

every network with a public tag surface

Follow #aimodels 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/aimodels