#modelagnostic
Live, measured metrics for the hashtag #modelagnostic from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #modelagnostic
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 2026-09-29 05:43 UTC4 uses by 3 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 2026-09-29 05:43 UTCNo related tags with measured usage found for #modelagnostic.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-29 05:43 UTCEverything below is measured over the latest 3 public posts (spanning ~3881 hours).
Posting hours (UTC)
Languages: English (2) · Russian (1)
Avg boosts / post: 0
Top of the latest posts
Enrique Alcazar (@enriquealcazarg) JEV와 비교되는 솔루션이 모델 비종속적으로 동작하며, 더 큰 모델을 사용하면 성능을 높일 수 있다고 설명합니다. 특히 JEV가 Qwen 계열 대형 모델을 기반으로 했을 가능성을 언급하며, 기반 모델 스케일링이 결과 품질에 미치는 영향을 시사합니다. https://x.com/enriquealcazarg/status/2102343848357716268 #llm #mo
AshutoshShrivastava (@ai_for_success) Claude Science의 오픈소스 대안으로 보이는 OpenScience가 공개됐다. 핵심 연구 환경은 유지하면서 모델 종속성을 없애고, GPT·Claude·DeepSeek·GLM·Kimi 등 다양한 모델을 단일 설정 플래그로 실행할 수 있다. https://x.com/ai_for_success/status/2073831720303141362 #opensou
[Перевод] Ваш харнес, ваша память Agent harness'ы стали основным способом построения агентов, и это надолго. Они неразрывно связаны с памятью агента. Если вы используете закрытый харнес — особенно за проприетарным API — вы добровольно перед
#modelagnostic across platforms
every network with a public tag surfaceFollow #modelagnostic 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/modelagnostic