#rnns

Live, measured metrics for the hashtag #rnns 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 #rnns

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 #rnns — $2,449.80/yr→
Annual, renews each year
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one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
11
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 11
0
Avg reactions / post
Mastodon · last 11

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:51 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 07:51 UTC

No related tags with measured usage found for #rnns.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:51 UTC

Everything below is measured over the latest 11 public posts (spanning ~29357 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (11)

Avg boosts / post: 1

Top of the latest posts

  • 🧠⭕️ New preprint by Hulse et al: How can the #fly’s neural compass show #RingAttractor dynamics despite heterogeneous #connectomic wiring? They combine task-trained #RNNs, theory and fly #connectomes to show that “dynamical clones” can emb

    Fabrizio Musacchio@[email protected]♥ 0↻ 22026-05-26 05:35 UTCView post →

  • 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics. They present a #differentiable #GPU accelerated #simulator that trains #morphologically detail

    Fabrizio Musacchio@[email protected]♥ 0↻ 42025-11-14 10:35 UTCView post →

  • 🧠 New preprint by Codol et al. (2025): Brain-like #NeuralDynamics for #behavioral control develop through #ReinforcementLearning. They show that only #RL, not #SupervisedLearning, yields neural activity geometries & dynamics matching monke

    Fabrizio Musacchio@[email protected]♥ 0↻ 02025-11-11 06:20 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/rnns