Education — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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 why it has no browse page of its own yet.
Growth
6 measurements spanning 66 days, net -5. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 663–671 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Oct 2026, 16:35
664
-3
1 Oct 2026, 23:36
667
-2
8 Sept 2026, 01:17
669
-1
29 Aug 2026, 09:48
670
+1
8 Aug 2026, 02:33
669
no change
7 Aug 2026, 21:15
669
first reading
Engagement
8 posts held, back to 21 May 2023 — 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 8 posts for this entry, the most recent from 3 July 2023. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 35s
Average length
48s
Measured directly from 2 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.
Reaction mix
102 reactions across 6 posts, in 7 distinct kinds. The most used accounts for 35.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
36
35.3%
❤🔥
17
16.7%
👨💻
15
14.7%
🫡
14
13.7%
❤
13
12.7%
💔
4
3.92%
🆒
3
2.94%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 6 of the 8 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 102 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 21 May 2023 to 3 July 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Ребята, всем привет!)👋 Да, мы очень долго пропадали, но давайте я вам расскажу, чем мы занимались все это время)))🙃
Помимо сессии, наша группа работала над мега-крутым проектом для компании SkyEng. Вкратце о проекте: никому не секрет, что SkyEng - это образовательная платформа, и в этом году нам предложили принять участие в создании и улучшении телеграм-бота!!!
Суть этого бота заключается в том, чтобы помочь школьн…
Всем привет! Я — Катя🤍 И я пришла рассказать вам об очень интересном событии - воркшопе о нейронках, который мы представим экспертному совету. 🎓
Представляете себе? 🤩🤩🤩
Наши ребята уже проводили часть воркшопа на конференции IT-FUTURE, где показывали вам такие нейронки, как Chatgpt, Tome, Leonardo ai и многие другие 🙃
В этот раз мы сделали наш воркшоп еще более шикарным. Мы поделимся с вами советами по взаимодейств…
🤖🎨 Друзья, добро пожаловать в увлекательный мир нейронных сетей! Сегодня мы хотим поделиться с вами несколькими захватывающими нейронками, которые помогут вам раскрыть свою творческую внутреннюю силу и добавят веселья в вашу жизнь.
1️⃣ Leonardo AI – это потрясающая нейронная сеть, которую можно использовать для создания крутых картинок без использования VPN. Просто посетите ссылку и наслаждайтесь удобством настройки…
Всем привет! ✌️Это Катя и Маша) Мы уверены, что за нейросетями будущее, поэтому решили рассказать вам о том, как ими пользуемся мы и как ими можете пользоваться вы
А тут парочка необычных ответов на эту тему:
1. 🎵 Вы можете использовать нейросети для создания искусственных музыкальных произведений!🤩 Они могут обучаться музыкальным данным, чтобы создавать оригинальные произведения, разработанные на основе стилей изв…
🔍 Новая версия Google с искуственным интелектом!
Они полностью переработали поисковую систему, добавили искусственный интеллект и множество новых дополнительных возможностей.
На данный момент он доступен только в США и на английском языке, остальные получат доступ в следующем месяце.
SkyGPT | Нейронки для учёбы
👨💻9❤3🔥1
Signed Michael Stepanov
Showing the 8 most recent of 8 posts we hold for @gpt_for_pupils. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 8 most recent posts we hold, published 21 May 2023 to 3 July 2023. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Cite this entry
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 12 October 2026 — this
entry's latest reading, not the date you are reading this.
“SkyGPT | Нейронки для учёбы” (@gpt_for_pupils), 664 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/gpt_for_pupils.
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.
