#mlsystems
Live, measured metrics for the hashtag #mlsystems from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mlsystems
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 2026-10-21 01:09 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 2026-10-21 01:09 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-21 01:09 UTCEverything below is measured over the latest 12 public posts (spanning ~33888 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (12)
Avg boosts / post: 0.4
Top of the latest posts
Avi Chawla (@_avichawla) 프로덕션 AI 시스템을 13개 계층으로 정리한 ‘AI engineering master tree’를 공유했습니다. 기초 계층에는 토큰, 임베딩, Transformer, 어텐션, 위치 인코딩, 컨텍스트 윈도우, MoE, 스케일링 법칙 등이 포함되며, 이후 모델 행동·운영 계층까지 체계적으로 다루는 학습 로드맵을 제시합니다. https://x.com/_avichawla/status/21
Kaichao You (@KaichaoYou) 전용 추론 엔진을 단순히 특정 하드웨어에서 모델을 실행하는 프로젝트로 보는 관점을 비판한다. 실용적인 추론 시스템은 런타임뿐 아니라 배포, 스케줄링, 관측성, 최적화 등 폭넓은 ‘추론 생태계’로 다뤄야 한다는 업계 관찰이다. https://x.com/KaichaoYou/status/2098961977649615256 #inference #mlsystems #aiinfrastruct
The Architecture Decisions CAIOs Cannot Delegate to Engineering Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scale
#mlsystems across platforms
every network with a public tag surfaceFollow #mlsystems 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/mlsystems