#aliasing
Live, measured metrics for the hashtag #aliasing from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aliasing
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-14 12:54 UTC0 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 2026-08-14 12:54 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-14 12:54 UTCEverything below is measured over the latest 14 public posts (spanning ~35727 hours).
Posting hours (UTC) — busiest: 06:00
Languages: English (11) · Russian (2) · Italian (1)
Avg boosts / post: 0.1
Top of the latest posts
@wonderofscience What a great example of #aliasing. https://youtu.be/8_bkBL8e40Q
Я дал LLM писать unsafe Rust полгода. Miri плакал Полгода я давал LLM писать unsafe Rust в боевых проектах и разбирал каждый блок под miri и санитайзерами. Категории ошибок, которые модели делают стабильно: aliasing, провенанс, layout в all
restrict в C: оптимизация на честном слове Привет, Хабр! Сегодня поговорим про один из самых незаметных, но любопытных моментов языка C. Если вы пишете на C, скорее всего вы никогда не использовали ключевое слово restrict . А зря — этот ква
What “aliasing” means
WikipediaIn digital signal processing, aliasing is a phenomenon in which a reconstructed signal from samples of the original signal contains low frequency components that are not present in the original one. This is caused when, in the original signal, there are components at frequency exceeding a certain frequency called Nyquist frequency, , where is the sampling frequency (undersampling). This is because typical reconstruction methods use low frequency components while there are a number of frequency
“Aliasing” on Wikipedia (CC BY-SA) →#aliasing across platforms
every network with a public tag surfaceFollow #aliasing 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.
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/aliasing