#LLMArchitecture
Live, measured metrics for the hashtag #LLMArchitecture from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #llmarchitecture
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.online (Mastodon public tags API) · fetched 2026-10-02 20:16 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.online (Mastodon public search API) · fetched 2026-10-02 20:16 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-02 20:16 UTCEverything below is measured over the latest 8 public posts (spanning ~11070 hours).
Posting hours (UTC)
Languages: English (8)
Avg boosts / post: 0.3
Top of the latest posts
AI Leaks and News (@AILeaksAndNews) Accelerated Understanding Inc.가 트랜스포머에 의존하지 않는 neural operator 기반 AI 모델 아키텍처를 개발했으며, 더 큰 컨텍스트 윈도우를 목표로 한 NO 모델을 공개할 예정이라고 밝혔다. 아직 성능·학습 방식·코드 공개 여부가 제시되지 않아 초기 발표 단계지만, 장문맥 모델 아키텍처의 대안적 접근으로 볼 수 있다. https
From the Leanpub Blog: Leanpub Book LAUNCH 🚀 Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems by Ediz Najim https://leanpub.com/blog/leanpub-book-launch-systems-thinking-for-agentic-a
NEW! Leanpub Book LAUNCH 🚀 Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems by Ediz Najim https://youtu.be/CmhRZqmx5q0 #books #leanpublishing #selfpublishing #AgenticAI #LLMArchitectu
#llmarchitecture across platforms
every network with a public tag surfaceFollow #llmarchitecture 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/llmarchitecture