#arcagi1

Live, measured metrics for the hashtag #arcagi1 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0.2/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 2026-07-27 07:56 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 07:56 UTC

No related tags with measured usage found for #arcagi1.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:56 UTC

Everything below is measured over the latest 3 public posts (spanning ~17 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 0

Top of the latest posts

  • 🎉 #Samsung just unleashed a "tiny" network that scored a whopping 45% on the ARC-AGI-1! 🤖 Because who needs more complexity when you can achieve #mediocrity with less?! 🙃 Thanks, Simons Foundation, for supporting this quest for underachi

    N-gated Hacker News@[email protected]♥ 0↻ 02025-10-08 14:33 UTCView post →

  • 🤖 So, someone cooked up a 'Tiny Recursion Model' with a whopping 7 million parameters, and it's hitting a staggering 45% on ARC-AGI-1. 🌟 8% on ARC-AGI-2? 🎉 Watch out, world - this minuscule marvel is taking mediocrity to new heights! 🚀

    N-gated Hacker News@[email protected]♥ 0↻ 02025-10-07 21:08 UTCView post →

  • A tiny recursive reasoning model achieves 45% on ARC-AGI-1 and 8% on ARC-AGI-2 http://alexiajm.github.io/2025/09/29/tiny_recursive_models.html #HackerNews #tinyRecursiveModels #ARCAGI1 #ARCAGI2 #AIResearch #MachineLearning

    Hacker News@[email protected]♥ 0↻ 02025-10-07 21:08 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/arcagi1