#lxai

Live, measured metrics for the hashtag #lxai 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 #lxai

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.

$2,449.80/ year · 4-character #name
Claim #lxai$2,449.80/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0
Avg reactions / post
Mastodon · last 3

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 17:47 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 17:47 UTC

No related tags with measured usage found for #lxai.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 17:47 UTC

Everything below is measured over the latest 3 public posts (spanning ~17228 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 1

Top of the latest posts

  • Optimizing Fairness and Robustness in Machine Learning Models. Keynote at #NeurIPS 2022 - #LXAI workshop. #TrustworthyAI #RobustAI #EthicalAI #SafeAI #ResponsibleAI https://baylor.ai/?tag=ai-orthopraxy

    Pablo Rivas@[email protected]002024-11-14 13:00 UTCView post →
  • Back home after #iccv2023! Some highlights: * Really enjoyed the #DataComp workshop, especially the keynote by Olga Russakovsky * Posters at #WiCV #lxai workshops looked great too. Can we please have more time for workshops? * Many datasets

    Veronika Cheplygina@[email protected]022023-10-06 14:18 UTCView post →
  • Tomorrow, Monday, I'll give a keynote on Trustworthy AI from a fairness and adversarial robustness point of view at the #LXAI Workshop of the @NeuripsConf. How does robustness relate to fairness? How do you quantify robustness? See you in N

    Pablo Rivas@[email protected]012022-11-27 16:47 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/lxai