#scalinglaw

Live, measured metrics for the hashtag #scalinglaw 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
8
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 8
0.1
Avg reactions / post
Mastodon · last 8

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-30 02:50 UTC
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30

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 2026-07-30 02:50 UTC
#scalinglaws
1 uses · 1 accounts / 7d
#scalinglawsai
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 02:50 UTC

Everything below is measured over the latest 8 public posts (spanning ~30264 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (7) · Korean (1)

Avg boosts / post: 0

Top of the latest posts

  • #GeoffreyWest - Do #GeneralPrinciples Govern All #Science? https://www.youtube.com/watch?v=MEXi848Y7iQ&ab_channel=CloserToTruth #Philosophy #PhilosophyOfScience #Math #Maths #Mathematics #Physics #UniversalLaws #LawsOfNature #LawsOfPhysics

    Jim Donegan 🎵 ✅@[email protected]♥ 1↻ 02023-05-17 16:20 UTCView post →

  • Chubby (@kimmonismus) 화웨이가 EUV 장비 없이도 확장 가능한 방법을 목표로 한 Tau(τ) Scaling Law를 IEEE ISCAS에서 발표했다. 전통적인 트랜지스터 기하학적 스케일링 대신 시간 기반 최적화로 접근하는 내용으로, 미국의 수출 규제 대응과 반도체/AI 인프라 관점에서 주목된다. https://x.com/kimmonismus/status/2058835932975915191 #huawei #se

    ainews@[email protected]♥ 0↻ 02026-05-25 09:50 UTCView post →

  • fly51fly (@fly51fly) Tsinghua 및 Stanford 공동연구진의 논문 'Configuration-to-Performance Scaling Law with Neural Ansatz' 공개. 본 연구는 'Neural Ansatz'라는 해석적 가정을 도입해 모델 구성(configuration)과 성능 간의 스케일링 법칙을 제시·정량화하며, 대형 모델 설계와 성능 예측에 영향을 줄 수 있는 이론적 결과를 담고 있

    ainews@[email protected]♥ 0↻ 02026-02-13 03:47 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/scalinglaw