#ilyasut

Live, measured metrics for the hashtag #ilyasut 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 #ilyasut

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.

$240.06/ year · 7-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
1
Recent posts
Mastodon
Recent pace
Mastodon · last 1
0
Avg reactions / post
Mastodon · last 1

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 00:17 UTC
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 00:17 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 00:17 UTC

Everything below is measured over the latest 1 public posts.

Posting hours (UTC)

00:0012:0023:00

Languages: English (1)

Avg boosts / post: 0

Top of the latest posts

  • Litian Liang (@litian_liang) 딥러닝에서 '더 많은 데이터는 해가 되지 않는다'는 거의 반박하기 어려운 명제지만, 로봇 모델에서는 어느 규모에서 데이터 추가가 성능 대비 가장 높은 ROI를 주는지가 아직 핵심 질문이라고 지적한다. Ilyas의 강연을 추천하며 로봇 학습에서 데이터 스케일링의 효율이 중요하다고 강조한다. https://x.com/litian_liang/status/206877253320228

    ainews@[email protected]002026-06-22 04:47 UTCView post →

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/ilyasut