#trainingdata

Live, measured metrics for the hashtag #trainingdata 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 #trainingdata

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.

$5.00/ year · 12-character #name
Claim #trainingdata — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-11-13 21:12 UTC
0
11-07
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13

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 2026-11-13 21:12 UTC
#trainingdataprovenance
0 uses · 0 accounts / 7d
#trainingdataproblem
0 uses · 0 accounts / 7d
#trainingdatasets
0 uses · 0 accounts / 7d
#trainingdatabias
0 uses · 0 accounts / 7d
#trainingdatasolutions
0 uses · 0 accounts / 7d
#trainingdatamistake
0 uses · 0 accounts / 7d
#TrainingDataset
0 uses · 0 accounts / 7d
#trainingdataai
0 uses · 0 accounts / 7d
#trainingdatatheft
0 uses · 0 accounts / 7d
#trainingdatapatterns
0 uses · 0 accounts / 7d
#trainingdatahunt
0 uses · 0 accounts / 7d
#trainingdatamimicry
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-13 21:12 UTC

Everything below is measured over the latest 40 public posts (spanning ~3632 hours).

Posting hours (UTC) — busiest: 05:00

00:0012:0023:00

Languages: English (39) · German (1)

Avg boosts / post: 4.4

Top of the latest posts

  • Can anyone recommend #academicpapers (i.e. peer reviewed and published in decent journals) on #airegurgitation and/or attacks to extract #trainingdata from #generativeai (not necessarily #llms)? I'm particularly interested in how likely the

    fhenshib@fhenshib@ohai.social♥ 0↻ 12026-10-12 21:27 UTCView post →

  • Emily (@IamEmily2050) 모델 성능 향상은 단순히 대규모 데이터를 투입하는 방식보다, 목적에 맞는 데이터 생성과 작업(task) 설계에 더 크게 좌우된다는 견해를 제시했다. Anthropic의 접근을 ByteDance Seedance V2 팀의 데이터 구축·태스크 설계 방식과 비교하며, 학습 데이터 큐레이션 및 합성 데이터 파이프라인의 중요성을 강조한다. https://x.com/IamEmily2050/statu

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 02026-10-12 05:51 UTCView post →

  • Youssof Al Toukhi (@Youssofal_) Suno의 신규 버전이 저작권 소송 회피를 위해 인공 데이터만 사용한 뒤 음악 생성 품질이 크게 저하됐다는 사용자 평가다. 생성형 모델에서 학습 데이터의 품질·다양성과 법적 리스크 관리 간 트레이드오프를 보여준다. https://x.com/Youssofal_/status/2109039549494284475 #suno #generativeai #trainingdata #c

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 02026-10-11 06:50 UTCView post →

#trainingdata across platforms

every network with a public tag surface

Follow #trainingdata 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/trainingdata