Channel
@NeuralArtComicsAnimation
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
131subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001559559964 |
|---|---|
| Type | Channel |
| Username | @NeuralArtComicsAnimation |
| Description | Добро пожаловать в наш канал по нейросетям! Автор: @tjohn8888 НАПРАВЛЕНИЯ ✔Видео-стилизация с сохранением узнаваемости лиц и естественности образа ✔Генерация и обработка изображений в различных художественных стилях ✔Анимация фото, создание персонажей |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/NeuralArtComicsAnimation |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 01:01 | 131 | no change |
| 7 Aug 2026, 13:14 | 131 | first reading |
10 posts held, back to 26 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 16 July 2026 |
|---|---|
| Posts held | 10 (26 June 2026 – 16 July 2026) |
| Views total | 114 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 01:01 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Neural Art Comics & Animation pinned «⚡ Дорогие подписчики! (это мой последний пост здесь) Мы с вами находимся в сумасшедшем режиме информационного шума! Причем не только дети, листающие бесконечную ленту Тикток и развивающие клиповое мышление, но и взрослые!.. Например я, стараюсь держать руку…»
⚡ Дорогие подписчики! (это мой последний пост здесь) Мы с вами находимся в сумасшедшем режиме информационного шума! Причем не только дети, листающие бесконечную ленту Тикток и развивающие клиповое мышление, но и взрослые!.. Например я, стараюсь держать руку на пульсе в плане развития нейронок, ежедневно просматривая множество каналов, и сохраняя себе в тг закладки, безнадежно надеясь когда-нибудь найти время их разо…
Signed I T
https://telegram.org/blog/communities-editor-invisible-messages/ru
Signed I T
Posted without readable text
Хорошая короткометражка от Runway. Рассказывает простую историю без слов: всё через движения и эмоции персонажей (включая лампу), операторскую работу, а также игру света и тени. И аишности почти не видно. Лишь пожёванный ценник в начале и местами пустоватые глаза матери с ребёнком выдают, если не всматриваться в детали. Это могла бы быть реклама IKEA. Твит
Signed I T
если честно - не видно разницы между ltx-2.3-dev-bf16 (42Gb) и ltx-2.3-dev-int8-convrot (24Gb). Скорость генерации сопоставима: 11s/it (121 кадр) - convrot и 14s/it (121 кадр) - bf16 Соответственно переплачивать пол-миллиона за профессиональную карту (по крайней мере для LTX) НЕТ. ps - тесты на картах 4090 RTX 48Gb и RTX 6000 PRO 96Gb.
Signed I T
https://market.yandex.ru/cc/A6jTBK
Signed I T
Muse Image и Muse Video Генераторы изображений и видео "с учетом социального контекста" от Meta (запрещено в РФ) №2 на Арене по картинкам Muse Image работает как агент: ищет данные, пишет код, дорабатывает генерации и улучшает результат через вычисления при инференсе. Интегрирован с Muse Spark для совместного планирования. Возможности: • Пишет и исполняет код (графики, QR-коды) через RL. • Использует отрендеренны…
Signed I T
вот такими сообщениями угоняют аккаунты, как это было у одного из знакомых нейронщиков...
Signed I T
AI уже начинает “разучивать” профессионалов. Первые данные не очень хорошие Nature собрала несколько свежих исследований о deskilling — потере навыков из-за постоянной опоры на AI. Важны не мнения, а цифры. Врачи. В исследовании в Польше эндоскописты, каждый с опытом не менее 2000 колоноскопий, получили AI-систему, которая в реальном времени подсвечивала аденомы — предраковые поражения кишечника. До внедрения AI вр…
Signed I T
Showing the 10 most recent of 10 posts we hold for @NeuralArtComicsAnimation. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Neural Art Comics & Animation” (@NeuralArtComicsAnimation), 131 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/NeuralArtComicsAnimation.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.