#offloading

Live, measured metrics for the hashtag #offloading 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 #offloading

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.

$23.52/ year · 10-character #name
Claim #offloading — $23.52/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0
Avg reactions / post
Mastodon · last 7
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-13 16:54 UTC
0
10-07
0
10-08
0
10-09
0
10-10
0
10-11
1
10-12
0
10-13

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-10-13 16:54 UTC
#memory_offloading
0 uses · 0 accounts / 7d
#cognitiveOffloadingAndMemory
0 uses · 0 accounts / 7d
#offloadingcognition
0 uses · 0 accounts / 7d
#offloadingbusinessunit
0 uses · 0 accounts / 7d
#cognitive_offloading
0 uses · 0 accounts / 7d

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-13 16:54 UTC

Everything below is measured over the latest 7 public posts (spanning ~26559 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (5) · Russian (2)

Avg boosts / post: 1.4

Top of the latest posts

  • 新清士@AIコンテンツ開発者 (@kiyoshi_shin) Maya와 GLM-5.3-Flash를 RTX 4090 및 64GB RAM 환경에서 구동했지만, 메모리 오프로딩이 충분하지 않아 실사용 가능한 성능에 도달하지 못했다는 로컬 추론 경험이다. 측정 속도는 약 2.1 tok/s로, 대형 모델의 소비자 GPU 배포 시 VRAM·시스템 RAM·오프로딩 병목을 보여준다. https://x.com/kiyoshi_shin/status/2

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 12026-10-12 07:59 UTCView post →

  • Por que LLMs são rápidos? Offloading e layers explicados Você já se perguntou por que alguns LLMs respondem tão rápido? 🤔 • Rede neural guarda informações de forma aproximada — não precisa carregar tudo na memória. • O LLM consegue correla

    eddieoz@eddieoz@mastodon.social♥ 0↻ 02026-07-17 17:27 UTCView post →

  • No more #cognitive #offloading when #voting https://www.nytimes.com/2026/07/04/us/politics/voters-ai-chatbots-elections.html ...let alone cognitive offloading when #writing my take here https://nkozphoto.com/index.php/2026/03/09/writing-cri

    Nikolas Kozloff@nikolas@journa.host♥ 0↻ 42026-07-06 15:25 UTCView post →

#offloading across platforms

every network with a public tag surface

Follow #offloading straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/offloading