#llm360
Live, measured metrics for the hashtag #llm360 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #llm360
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 · mastodon.social (Mastodon public tags API) · fetched 2026-09-29 05:32 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-09-29 05:32 UTCNo related tags with measured usage found for #llm360.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-29 05:32 UTCEverything below is measured over the latest 2 public posts (spanning ~4081 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 2
Used together with
Top of the latest posts
Powerful open-source #LLM360 K2-65B #LLM from #MBZUAI and #Petuum costs 35% less to train https://www.middleeastainews.com/p/powerful-open-source-k2-65b-llm-llm360 #MiddleEastAINews
Cerebras Systems, Petuum, and MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) have launched a new framework for creating open-source large language models: #LLM360 https://www.middleeastainews.com/p/llm360-new-framework-for
What “llm360” means
WikipediaA large language model (LLM) is an AI model trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts. They are the basis for many modern chatbots, such as ChatGPT, Claude, Gemini, Grok, and DeepSeek.
“Large language model” on Wikipedia (CC BY-SA) →#llm360 across platforms
every network with a public tag surfaceFollow #llm360 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/llm360