Posted without readable text
🔥1

Channel
@kab_iinfo
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
90subscribers
+0 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003358845876 |
|---|---|
| Type | Channel |
| Username | @kab_iinfo |
| Description | ИИ-дневник. Изучаю нейросети и делюсь своим опытом. Генерация контента, LLM, ИИ-агенты и прочее. Надеюсь это будет полезно кому-то ещё кроме меня. |
| Created | Between 1 November 2025 and 5 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/kab_iinfo |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 00:30 | 90 | no change |
| 11 Aug 2026, 00:17 | 90 | first reading |
7 posts held, back to 5 January 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 18 March 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 11 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 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.
5 reactions across 2 posts, in 4 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 2 | 40.0% | |
| 🆒 | 1 | 20.0% | |
| 🤨 | 1 | 20.0% | |
| 🤩 | 1 | 20.0% |
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 2 of the 7 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 5 January 2026 to 18 March 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Posted without readable text
🔥1
На днях делал саммари длинного поста в ТГ через Perplexity чтобы кратко пересказать другому человеку инфу из поста. И вот ТГ выкатило эту фичу уже внутри приложения с помощью ИИ. Как видим нейронки всё больше и больше проникают во все сервисы и аспекты нашей жизни.
Знали ли вы, что когда ищете картинку «мем, где девушка кричит на кота»— вы уже пользуетесь нейросетью? 🖱️ Каждый день они работают за кадром: подсказывают слова, исправляют текст, ищут изображения и переводят видео. Но за этими простыми на первый взгляд действиями стоят сложные архитектуры и разные типы моделей. Чтобы было понятнее - ловите краткий гид по видам нейросетей. Узнаете какие технологии работают в привы…
Какие перспективы несет наступивший год? Команда Яндекс Браузера узнала у эксперта по нейросетям Сергея Пахандрина о том, что нас ждет в мире ИИ в 2026 году ❄️ Обсудили вопросы появления новых нейросетевых инструментов, для каких задач мы будем использовать ИИ в будущем и как искуственный интеллект в 2026 году сможет помогать в работе обычным пользователям. Сразу почему-то в голове возникла ассоциация с Миньонами и…
Новогодняя версия от Сберовского Гигачата в народном стиле. Делал через их чат-бота в Max. Лица передаёт он не очень. Вышло кринжово, но попробовать можно. https://max.ru/gigachat
🔥1🤨1🤩1🆒1
Полез смотреть большой выпуск от Яндекс про ИИ и выпало в рекомендациях их видео о Яндекс Такси. В рубрике «вопрос-ответ» в частности рассказали с чего вдруг в дождь ☔️ резко растёт ценник на поездку и ответили на другие интересные вопросы о сервисе. https://vkvideo.ru/playlist/-11283947_15/video-11283947_456241576?linked=1
Продолжим играться и оживим наше фото 😉 Идём в приложение нейросети от Яндекса - Алиса AI. Или используем вэб-версию по ссылке тут В окне запроса кликаем на «оживить фото». Загружаем наше фото (или можете использовать любое желаемое). В окне ввода промпта можно просто написать «оживи фото», либо описать конкретное желаемое действие или сюжет. Скачиваем получившееся видео. Оно будет на 4 секунды. Плюс чуть больше с…
Showing the 7 most recent of 7 posts we hold for @kab_iinfo. 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.
Citation-graph rank — 1,118,441 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Кабинет ИИнформатики” (@kab_iinfo), 90 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/kab_iinfo.
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.