#mitcsail

Live, measured metrics for the hashtag #mitcsail 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 #mitcsail

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.

$110.68/ year · 8-character #name
Claim #mitcsail — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
10
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 10
0
Avg reactions / post
Mastodon · last 10
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-29 21:37 UTC
0
09-23
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28
0
09-29

0 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 21:37 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-29 21:37 UTC

Everything below is measured over the latest 10 public posts (spanning ~45983 hours).

Top of the latest posts

  • Researchers Expose TONTOU Attack Bypassing Spectre v2 Fixes Meet the TONTOU attack, a sneaky new exploit that lets hackers read sensitive data, like hashed passwords, from a system without needing special access - and it can bypass current

    Analyst207@Analyst207♥ 0↻ 02026-08-06 18:35 UTCView post →
  • Interrupt Injection Attack Bypasses Spectre v2 Defenses on Intel, AMD CPUs Researchers have uncovered a shocking vulnerability that allows an unprivileged local program to bypass Spectre v2 defenses on Intel and AMD CPUs, leaking kernel mem

    Analyst207@Analyst207♥ 0↻ 02026-08-06 17:34 UTCView post →
  • AI 모델이 자신 있을수록 더 위험하다, MIT가 찾아낸 과잉 확신의 구조적 원인 MIT CSAIL이 개발한 RLCR 훈련 방식. AI 추론 모델의 과잉 확신 문제를 훈련 구조 자체에서 해결하고, 교정 오류를 최대 90% 줄였습니다. https://aisparkup.com/posts/11807

    AI Sparkup@[email protected]♥ 0↻ 02026-04-26 08:44 UTCView post →

#mitcsail across platforms

every network with a public tag surface

Follow #mitcsail 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/mitcsail