Channel

AI Knowledge

@aiknowledgeclub

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,338subscribers

+4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID	-1001844861039
Type	Channel
Username	@aiknowledgeclub
Created	Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	6 August 2026
Last confirmed live	16 August 2026
Measurements held	4
Confirmed unchanged	1 time, most recently 16 August 2026
On Telegram	t.me/aiknowledgeclub

Growth

4 measurements spanning 10 days, net +4. 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 1,333–1,339 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
16 Aug 2026, 20:06	1,338	+1
7 Aug 2026, 10:22	1,337	+3
6 Aug 2026, 13:50	1,334	no change
6 Aug 2026, 13:50	1,334	first reading

Engagement

20 posts held, back to 23 April 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 20 posts for this entry, the most recent from 15 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

273 reactions across 20 posts, in 23 distinct kinds. The most used accounts for 39.6% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
❤	108	39.6%
🔥	51	18.7%
❤‍🔥	39	14.3%
⚡	17	6.23%
🙏	12	4.40%
💘	7	2.56%
🏆	4	1.47%
👍	4	1.47%
💔	4	1.47%
🕊	4	1.47%
👾	3	1.10%
😁	3	1.10%
🤯	3	1.10%
🥴	3	1.10%
🌚	2	0.733%
😍	2	0.733%
✍	1	0.366%
🐳	1	0.366%
💊	1	0.366%
😎	1	0.366%
3 further kinds	3	1.10%

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 20 of the 20 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 273reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 23 April 2026 to 15 July 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.

Recent posts

15 Jul 2026, 08:18 UTC≈2,610 views11 reactionsread 6 August 2026

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⭐️ Открылась регистрация на E-CUP 2026 Students Ozon Tech запускает онлайн-соревнование по машинному обучению для студентов. Оно подойдёт тем, кто интересуется ML, Data Science, Big Data и аналитикой данных. На выбор три трека: ▶️ Матчинг товаров — разработать модель для поиска одинаковых товарных карточек ▶️ Контроль качества — создать классификатор для модерации товаров ▶️ Ценность пользователей поиска — предсказ…

❤4👍3🙏2🔥1🤬1

6 Jul 2026, 12:38 UTC≈2,270 views6 reactionsread 6 August 2026

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⭐️ Захватывающее соревнование с AI Challenge Новый сезон международного конкурса по ИИ открыт. Это отличная возможность для студентов проверить свои силы Участвовать могут студенты до 25 лет включительно как индивидуально, так и в команде (2–4 человека) ⭐️ Призовой фонд направления «Студенты» — 9 000 000 ₽ Регистрация и квалификация уже идут! Успей решить отборочный этап до 15 сентября и стать частью захватывающе…

❤3⚡2🐳1

25 May 2026, 15:30 UTC≈1,030 views13 reactionsread 6 August 2026

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Уже завтра пройдёт воркшоп на тему "Как правильно вайбкодить на проде" ▶️ Лектор: Никита Нестеров ▶️ 26 мая (завтра) в 16:30 ▶️ Онлайн (ссылку пришлём в чат) На встрече: ⭐️ Разберем как строить production-ready процесс вокруг кодовых агентов ⭐️ Сравним среды для вайбкодинга ⭐️ Поговорим про базы знаний, Obsidian, Ralph и ИИ-тулзы Приходи, если хочешь быть в курсе хайповых тем и получить дополнительные навыки к раз…

❤‍🔥6🔥4❤3

22 May 2026, 10:24 UTC≈2,600 views8 reactionsread 6 August 2026

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Мы подготовили для тебя подборку интересных ML-проектов от Young&&Yandex, с помощью которых ты сможешь сделать шаг в карьере в машинном обучении 🌐 Тренировка Data Dojo Смотри лекции, решай задачи и получай призы. Топ-350 участников получат проходку на встречу Data Dojo на Young Con 25 июня Топ-50 участников получит фаст-трек на стажировку в компанию, а лучшая десятка получит Яндекс Станции с Алисой Старт 4 июня. Р…

❤4⚡2💘2

21 May 2026, 11:58 UTC935 views11 reactionsread 6 August 2026

🌐 Напоминаем, что сегодня в 16:00 заключительная лекция нашего курса Advanced DL Также приглашаем всех, успешно окончивших курс и сдавших решение на Kaggle, на выпускной курсов завтра в 16:40 ⬇️ https://t.me/itatmisis/1743

❤4❤‍🔥4🔥3

19 May 2026, 15:55 UTC≈2,330 views16 reactionsread 6 August 2026

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Как правильно вайбкодить на продакшене? Это и ещё другие темы разберём на воркшопе на следующей неделе во вторник Что будет: ➡️ Разберем, почему “просто попросить AI написать код” плохо работает ➡️ Поговорим про разницу между chat assistant и coding agent, про agentic loop, базы знаний, ИИ плагины и многое другое ➡️ Сравним среды для AI coding: Claude Code, Codex, Cursor, Gemini CLI и кастомные runtime-подходы Бон…

❤9🔥3❤‍🔥2🥴2

18 May 2026, 11:39 UTC≈1,950 views31 reactionsread 6 August 2026

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📊 Лекция 12: Advanced DL от AI Knowledge Club ⭐ Тема: AI4Science ⭐ Лектор: Жданов Макс Рассмотрим какие задачи ИИ может решить в естественных науках (биология, химия, физика). Разберем как нейронные сети могут обучаться на молекулах и углубимся в задачи, напрямую связанные с разработкой новых лекарств Ссылка на степик ▫ 21 Мая (этот четверг) в 16:00 ▫ Онлайн (ссылку на трансляцию пришлём в чат)

❤13❤‍🔥9🔥9

16 May 2026, 17:02 UTC≈2,590 views8 reactionsread 6 August 2026

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Готовимся к лету вместе с Data Fest 2026 X5 Tech (23 мая) Что будет? 🟢 Реальные кейсы из проды: как data и ML работают в ритейле на практике 🟢 Два зала: экспертный блок от X5 Tech + фестивальная программа от Open Data Science 🟢 Интерактивная зона X5 Data Show — загляни «под капот» решений, пообщайся с командами 🟢 Нетворкинг, карьерные консультации и активности ВТБ (24 мая) Что будет? 🟢 Карьерная секция Open …

❤4❤‍🔥1🔥1🤨1🙏1

14 May 2026, 16:50 UTC870 views16 reactionsread 6 August 2026

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Лекция 11: Advanced DL ⭐ Тема: Audio Generation ⭐ Лектор: Варфоломеев Захар Всех желающих ждём на лекции в понедельник 😊 ▫ 18 мая в 18:15 ▫ Онлайн (ссылку на трансляцию пришлём в чат)

💔4🕊4🙏4❤3🌚1

12 May 2026, 10:15 UTC≈1,970 views20 reactionsread 6 August 2026

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📊 Лекция 11: Advanced DL от AI Knowledge Club ⭐ Тема: Audio Generation ⭐ Лектор: Варфоломеев Захар Разберем современные пайплайны для генерации речи и музыки. Обсудим как делают данные из больших сырых корпусов, архитектуры моделей, обучение, влияние семантики и RL. Выделю практические инсайды, поделюсь своими идеями для последующих модификаций Ссылка на степик ▫ 18 мая в 18:15 ▫ Онлайн (ссылку на трансляцию приш…

⚡6❤6🏆4✍1👍1🥴1😎1

6 May 2026, 14:20 UTC≈2,410 views13 reactionsread 6 August 2026

Video message

Video message, posted without a caption

❤6⚡3👾3😭1

6 May 2026, 14:20 UTC≈2,470 views14 reactionsread 6 August 2026

📊 Мастер-класс по разработке AI агентов уже во всю идёт Приступили к практике, разбираемся с настройками нового агента

❤6⚡4💘4

Showing the 12 most recent of 20 posts we hold for @aiknowledgeclub. 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

Citation-graph rank — 203,191 of 1,481,243entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

ITAM
@itatmisis · 4,0502 posts AI - Arseny Ivanov
@ai_arseny_ivanov · 7691 post VF | Science
@vf_science · 1,1321 post

Republishes

Channels on the register whose posts this channel has forwarded.

Институт AIRI
@airi_research_institute · 13,2351 post

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.

Mentions

Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

ML seminar announcements
@mlsems · 3132 posts опять центроиды
@centroidall53608 · 8411 post NLP Wanderer
@nlpwanderer · 1,4691 post VF | Science
@vf_science · 1,1321 post

Names

Channels on the register whose handles appear in this channel's posts.

ITAM
@itatmisis · 4,0501 post

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“AI Knowledge” (@aiknowledgeclub), 1,338 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/aiknowledgeclub.

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.