#reasoningmodel

Live, measured metrics for the hashtag #reasoningmodel 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
21
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 21
0
Avg reactions / post
Mastodon · last 21

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:03 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 08:03 UTC
#reasoningmodels
0 uses · 0 accounts / 7d
#reasoningmodelle
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:03 UTC

Everything below is measured over the latest 21 public posts (spanning ~14147 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: English (20) · German (1)

Avg boosts / post: 0.3

Top of the latest posts

  • Kirk Borne (@KirkDBorne) 『Build a Reasoning Model (From Scratch)』를 소개하는 트윗으로, 핵심 reasoning 기법을 블랙박스 라이브러리 호출이 아니라 처음부터 구현하는 방식이 특히 유용하다고 설명한다. self-consistency 등을 직접 구현하며 추론 모델의 내부 동작을 학습할 수 있어, 파인튜닝·모델 이해·실험에 도움이 되는 자료다. https://x.com/Kirk

    ainews@[email protected]♥ 0↻ 02026-07-10 21:45 UTCView post →

  • Sebastian Raschka (@rasbt) ‘Build a Reasoning Model (From Scratch)’ 책이 출간됐다. 440쪽 분량으로, 추론 스케일링, 강화학습, 증류를 처음부터 다루며 reasoning model을 직접 구현·학습하려는 개발자에게 실전 참고서가 될 만하다. https://x.com/rasbt/status/2071945864088535126 #reasoningmodel #reinforcem

    ainews@[email protected]♥ 0↻ 02026-07-01 03:45 UTCView post →

  • Design Arena (@Designarena) Riverflow Pro 2.5가 이미지 관련 벤치마크에서 1위를 기록했습니다. 이 모델은 독자 및 오픈 diffusion 모델을 섞어 호출하는 reasoning model로, Image Arena(Models + Routers), Graphic Design Arena, Image Edit(Models + Routers)에서 모두 1위를 차지했습니다. 이미지 생성/편집 라우팅과

    ainews@[email protected]♥ 0↻ 02026-06-16 22:49 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/reasoningmodel