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 21 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
7 measurements spanning 57 days, net -9. 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 514–525 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Oct 2026, 14:40
515
-2
10 Sept 2026, 23:21
517
-2
31 Aug 2026, 23:38
519
-1
24 Aug 2026, 08:14
520
-3
15 Aug 2026, 20:52
523
-1
8 Aug 2026, 04:02
524
no change
7 Aug 2026, 12:22
524
first reading
Engagement
12 posts held, back to 16 May 2025 — 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 12 posts for this entry, the most recent from 10 June 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
44s
Average length
44s
Measured directly from 1 video 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
43 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 39.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
17
39.5%
👍
17
39.5%
🔥
8
18.6%
🤩
1
2.33%
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 7 of the 12 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 43 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 16 May 2025 to 10 June 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Поговорим о промтах
Изучая нейросети, многие сталкиваются с парадоксом: инструмент мощный, но непонятно, как применить его к рутине. Секрет — в промтах. Это не «волшебные слова», а точные инструкции, которые превращают абстрактный ИИ в вашего личного ассистента. Например, для анализа длинных документов, писем или отчетов.
Промт для задачи «Структурировать сложный текст»:
Действуй как опытный аналитик. Проанализиру…
Цифровые ясновидящие: Netflix и TikTok
Как ИИ узнаёт, что вам понравится, лучше вас самих? Разберём магию рекомендаций двух гигантов.
🎬 Netflix
Когда вы создаёте профиль, Netflix просит выбрать пару любимых фильмов. Это не просто ритуал — так алгоритм «разгоняется», формируя базовые предпочтения. Но уже через пару просмотров система игнорирует эти выборы, переключаясь на ваше реальное поведение.
Что учитывает ИИ:
…
⭐️Для достижения цели все средства хороши ⭐️
В нашем случае средства искусственного интеллекта 🤖
Пиши свою цель в комменты ⬇️ и мы подберем для тебя курс!
📌 Перейти на сайт
😢 Кассиры — всё. Теперь им нужно переучиваться на менеджеров ИИ трансформации.
Ведь искусственный интеллект уже трансформировал наш мир до неузнаваемости: учителя не верят в домашние задания, а чтобы составить маршрут по городу теперь не требуется карта 🤯
🧠 Еще 10 профессий на грани вымирания
🤩🤩🤩 🛍 Яндекс Маркет и Яндекс Лавка запустили в приложении чат-ассистента на базе ИИ
Это первый такой инструмент среди российских маркетплейсов! И мы просто не могли его не затестить 👆
Что умеет:
➖ подбирает товары по описанию (например, «ноутбук для дизайна» или «летняя рубашка из дышащей ткани»)
➖ сравнивает модели и объясняет разницу
➖ формирует персональные рекомендации на основе отзывов и предпочтений
➖ что кас…
Искусственный интеллект в IT 👾
Продолжаем разбирать применение искусственного интеллекта в профессиях.
На этот раз расскажем, что делать с нейропомощником программистам, разработчикам и тестировщикам 🛠
Если ты имеешь дело с кодом, то точно хотя бы раз использовал DeepCode, чтобы проверить баги, оптимизировать код и найти слабые места.
➡️ Но есть и нестандартные сценарии, где искусственный интеллект вовлечен в упр…
👍7❤5🔥4
Showing the 12 most recent of 12 posts we hold for @aistars1. 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 5 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Правда или ложь? В Школе искусственного интеллекта большую часть курса составляет практика
Правда 👍84%
Ложь 🙅♀️16%
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 12 most recent posts we hold, published 16 May 2025 to 10 June 2025. 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 3 October 2026 — this
entry's latest reading, not the date you are reading this.
“Школа искусственного интеллекта” (@aistars1), 515 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/aistars1.
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.