Channel
@centeraieu
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
17subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003973045355 |
|---|---|
| Type | Channel |
| Username | @centeraieu |
| Created | Between 1 April 2026 and 11 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 29 October 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 3 times, most recently 29 October 2026 |
| On Telegram | t.me/centeraieu |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 1 October 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Oct 2026, 05:40 | 17 | -1 |
| 16 Sept 2026, 06:39 | 18 | -1 |
| 8 Sept 2026, 07:00 | 19 | -1 |
| 11 Aug 2026, 15:31 | 20 | no change |
| 7 Aug 2026, 11:18 | 20 | first reading |
20 posts held, back to 11 August 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 5 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.
🌍 ИИ, который стирает языковые преграды Immersive Translate позволяет удобно читать веб-сайты, просматривать видео и работать с документами на иностранных языках, избавляя от необходимости постоянно копировать текст. Функции:👇 🌐 Переводит целые веб-страницы в браузере, оставляя оригинальный текст рядом с переводом. 💼 Поддерживает перевод PDF, ePub и других форматов документов, сохраняя исходное оформление для PDF…
Использовали ли вы подобные AI-переводчики? Делитесь своим опытом👇
💡 Experience a Cinematic Diner Scene! 🔍 Dive into a photorealistic cinematic scene set in a 1990s American diner, featuring red vinyl booths, neon signage, chrome accents, and a checkerboard floor. The ambiance is enhanced by soft natural light filtering through the windows, complemented by warm practical lighting, subtle handheld textures, and rich period details, all wrapped in a heavy film grain. 📌 0-5s: [Medium…
💡 She literally stopped time to have a peaceful breakfast 🥓 🔍 In Seedance 2.5, they created a 30-second scene straight out of a movie: a girl collides with a waitress, and the tray flies into the air — at the moment of impact, time completely freezes. Coffee hangs in droplets, food stays suspended, and people are frozen in place. Meanwhile, the heroine calmly grabs her bacon and eggs and heads for the exit 👀 The m…
💡 ИИ, который устраняет языковые преграды 🔍 Immersive Translate помогает пользователям читать веб-сайты, смотреть видео и работать с документами на иностранных языках без необходимости постоянного копирования текста. 📌 Что он может: ⚙️ • Переводит целые веб-сайты прямо в браузере, сохраняя оригинальный текст рядом с переводом. ✅ • Обрабатывает PDF, ePub и другие форматы документов, позволяя сохранить исходное офо…
Пользовались такими AI-переводчиками? Делитесь своим опытом!
💡 Tencent Hunyuan has launched WorldClaw — a system that allows an agent to autonomously plan and assemble a 3D world. 😳 🔍 Users simply describe the desired scene. WorldClaw then takes over, planning the landscape, generating buildings, plants, characters, and other objects, and assembling everything in Blender. 📌 Moreover, the system checks the results. If objects are floating, intersecting, or appear disproportio…
💡 Tencent Hunyuan представиха WorldClaw — система, която позволява на агента самостоятелно да планира и събира 3D свят. 😳 🔍 Потребителят просто описва желаната сцена. След това WorldClaw самостоятелно планира ландшафта, генерира сгради, растения, персонажи и други обекти, след което ги събира в Blender. 📌 Системата също така проверява резултата. Ако обектите висят във въздуха, се пресичат или изглеждат несъразмерно…
💡 Hermes Agent Desktop keeps impressing with its updates. 😏 🔍 Recently, a new HUD mode was introduced. Now, Hermes no longer exists as a separate window; it transforms into an overlay on top of the application you are using. 📌 You can keep it nearby as a helpful assistant, move it around the screen, and ask questions while you work. ⚙️ For instance, Hermes can read and summarize posts on X, analyze TradingView cha…
💡 Hermes Agent Desktop продължава да ни радва с нови актуализации. 😏 🔍 Наскоро се появи режим HUD. Сега Hermes вече не е отделен прозорец, а слой над приложението, с което работите. 📌 Можете да го оставите до себе си като помощник, да го местите по екрана и да задавате въпроси в движение. ⚙️ Например, Hermes може да чете и обобщава постове в X, да анализира графики в TradingView и дори да отваря проекти и добавя ф…
💡 A significant new study from Meta. 🔍 Typically, scaling laws suggest that the model size and data volume affect error independently of each other. 📌 In this work, the authors introduce the Skaling law — a principle that connects model capacity and data through a unified interaction parameter. ⚙️ An additional term reduces the average absolute percentage error by about 1.5 to 3 times for both interpolation and ex…
Today, models are often trained and deployed far beyond the classical computationally optimal regime. If the scaling law remains accurate in these contexts and can be evaluated with small runs, it directly alters how pre-training budgets can be planned. Study: https://arxiv.org/abs/2608.07222
Showing the 12 most recent of 20 posts we hold for @centeraieu. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 16 October 2026 — this entry's latest reading, not the date you are reading this.
“CenterAI — AI automation center for business” (@centeraieu), 17 subscribers as measured 16 October 2026. Telegram Register, tgregister.com/channel/centeraieu.
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.