#multilingualai

Live, measured metrics for the hashtag #multilingualai 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 #multilingualai

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.

$5.00/ year · 14-character #name
Claim #multilingualai — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-31 07:38 UTC
0
10-25
1
10-26
0
10-27
0
10-28
0
10-29
0
10-30
0
10-31

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-10-31 07:38 UTC
#multilingualaicapabiliti
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-31 07:38 UTC

Everything below is measured over the latest 40 public posts (spanning ~23670 hours).

Posting hours (UTC) — busiest: 05:00

00:0012:0023:00

Languages: English (40)

Avg boosts / post: 0.5

Top of the latest posts

  • via #AIFoundry : Announcing Azure AI Speech LLM 09-2026: Broader locale support https://ift.tt/vCYVPhx #AzureAISpeech #LLMSpeech #SpeechToText #AITranscription #MultilingualAI #LanguageSupport #IndicLanguages #FastTranscription #VoiceAI #Az

    Brandon H :csharp: :verified:@[email protected]♥ 0↻ 12026-10-26 22:12 UTCView post →

  • AI Engineer @ Paris 🇫🇷 (@aiDotEngineer) Sarvam은 인도 언어가 프런티어 모델 학습용 웹 크롤링 데이터에서 1% 미만에 불과하다는 데이터 격차를 지적했다. 자사 문서 모델은 이미지 입력 전 13조 토큰의 텍스트를 학습했으며, 출시 4개월 만에 3,500만 페이지를 디지털화하고 있다고 밝혔다. 저자원 언어 문서 AI의 실제 도입 규모를 보여준다. https://x.com/aiDotEngine

    ainews@[email protected]♥ 0↻ 02026-09-24 05:50 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↻ 12026-09-11 16:36 UTCView post →

#multilingualai across platforms

every network with a public tag surface

Follow #multilingualai 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/multilingualai