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Channel

AI и Образование

@edulabai

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

363subscribers

+1 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002003554312
TypeChannel
Username@edulabai
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/edulabai

Growth

362363362.59 August 2026 — 362 subscribers9 August 2026 — 362 subscribers16 August 2026 — 363 subscribers9 August 202616 August 2026
3 measurements spanning 7 days, net +1. 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 362–363 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 20:17363+1
9 Aug 2026, 22:12362no change
9 Aug 2026, 16:15362first reading

Engagement

19 posts held, back to 6 May 2026the 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.

ERR · 30 days
37.4%
avg views ÷ 363 subscribers
Avg views / post
136
4 posts measured
Reaction rate
5.71%
reactions ÷ views · ER floor
Posts in window
4
of 19 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held19 (6 May 20265 August 2026)
Views total543
Reactions total31
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 16:15 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
5s
Average length
5s

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

162 reactions across 16 posts, in 16 distinct kinds. The most used accounts for 34.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5634.6%
3823.5%
❤‍🔥159.26%
👍106.17%
95.56%
💯63.70%
🆒53.09%
💅42.47%
😁42.47%
31.85%
🤔31.85%
🥰31.85%
🐳21.23%
🤓21.23%
👏10.617%
🤩10.617%

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 16 of the 19 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 162reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 6 May 2026 to 5 August 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

31 Jul 2026, 08:05 UTC131 views10 reactionsread 9 August 2026
Photo

🌟🌟🌟🌟🌟🌟🌟🌟🌟 Продолжаем тему промптинга/запросинга и сегодня сойдём с пути рационального и научного и подурачимся🌟🌟🌟 Безумные запросы ИИ: когда нейросети удивляют нас сильнее, чем мы их Мы привыкли, что ИИ помогает нам в образовании: пишет конспекты, озвучивает лекции, структурирует данные. Но что, если посмотреть на ситуацию с другой стороны🌟 Мы собрали подборку самых необычных, абсурдных и гениальных запросов к И

🔥5😁4🆒1

29 Jul 2026, 08:17 UTC140 views8 reactionsread 9 August 2026
Photo

✨Хороший промпт начинается с вопроса: что вообще можно загружать в ИИ? Недавно московский суд признал законным увольнение топ-менеджера, которая загружала служебные документы в DeepSeek и пересылала конфиденциальные материалы на личную почту. Важно: её уволили не «за использование нейросети», а за передачу защищённой информации во внешние сервисы. На первый взгляд, история далека от образования. Но преподаватели ре

3🔥3💅1💯1

22 Jul 2026, 08:42 UTC182 views6 reactionsread 9 August 2026
Photo

💥💥💥💥💥💥💥💥💥 💥💥 и не только Мы любим пообщаться с коллегами на актуальные темы: делимся своим опытом, впитываем опыт других и обмениваемся полезными лайфхаками и ссылкам. В этот раз встретились с коллегами из МГУ и поговорили, конечно же, о текущем положении дел в вопросах, связанных с ИИ и том, что будущее нам пророчит, а именно обсудили: ✔️наше понимание AGI и сроки его появления на рынке ✔️плюсы и минусы озвучки

🔥411

17 Jul 2026, 08:13 UTC209 views12 reactionsread 9 August 2026
Photo

😊😊😊😊😊😊😊😊 Лето на пике и сегодня мы про стиль и креатив ИИ и здесь нам может помочь. Ранее мы уже писали про то, как собрать лук при помощи ИИ - вот здесь. Лето - прекрасное время для эксперимента. Эксперименты сопряжены с рисками и чтобы неудачи остались только черновиками и улыбками, нам поможет подобрать новый образ эта нейронка: VIRTUAL HAIRSTYLER The Virtual Hairstyler is powered by the latest AI technology

6🔥4🤩1🥰1

13 Jul 2026, 10:47 UTC236 views11 reactionsread 9 August 2026
Photo

🥋 ПРОКАЧАЙСЯ К ОСЕНИ На той неделе мы обсуждали, как ИИ меняет правила внутри университета. UNESCO предлагает посмотреть шире: что произойдёт, если единицей внедрения станет целый город? Например, ИИ может связать запрос человека на смену профессии с программами университета, центра занятости, библиотек и работодателей. Но кто проверит, что такая траектория действительно учитывает язык, возраст, цифровую грамотност

🔥62🐳2💯1

10 Jul 2026, 16:43 UTC221 views9 reactionsread 9 August 2026

Кажется, на этой неделе мы действительно попали в повестку 😵 В среду мы опубликовали лонгрид о регулировании ИИ в образовании, а сегодня утром запустили опрос об ИИ-чекерах — и всё это на фоне новости об обновлении детектора системы «Антиплагиат». По данным компании, новая версия лучше распознаёт ИИ-фрагменты в научных и академических текстах. Тестирование проводилось на 1500 документах с использованием около десят

3💯3🔥3

8 Jul 2026, 05:07 UTC194 views12 reactionsread 9 August 2026
Photo

ИИ в образовании больше не сводится к вопросу «какой сервис попробовать». За последний учебный год он стал проверкой на зрелость всей академической системы: как мы проектируем задания, оцениваем самостоятельность, регулируем использование инструментов, работаем с данными и проводим границу между помощью и подменой работы. В лонгриде разбираем, как к этим вопросам подходят Россия, США, Европа и Китай — через исследов

🔥7🆒2❤‍🔥1💅1🤔1

5 Jul 2026, 07:20 UTC223 views18 reactionsread 9 August 2026
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🕊️💞🕊️🕊️💞🕊️🕊️🕊️💞🕊️ Друзья, я беру паузу в работе в ИТМО и ухожу в саббатикал. Я давно этого хотела, но как-то сложно к этому шла. В ИТМО работают уникальные люди, которые в, мягко говоря, не простые времена могут пробить не самую очевидную и популярную форму поддержки сотрудников- саббатикал. За любым действиям всегда стоят конкретные люди. Спасибо🍃 По этому поводу у меня много мыслей и планов, которые просто не в

15🔥3

2 Jul 2026, 07:01 UTC232 views14 reactionsread 9 August 2026
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🕊️🕊️💞🕊️🕊️🕊️ как интересный материал для дискуссий. 🕊️Как быстро и эффективно превратить научную статью в горячую дискуссию? 🕊️Как "малой кровью" подготовить раздаточный материал? На эти вопросы в рамках Summer Boost, ЦИИЯ ответил мой коллега - Артём Сигаев🌿 Его мастер-класс "From Article to Argument: AI-Assisted Design of Discussion-Driven Handouts" вызвал большой интерес среди коллег. Статью, конечно, каждый выби

6👍61👏1

Showing the 12 most recent of 19 posts we hold for @edulabai. 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 3 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.

27 Jun 2026, 08:11 UTCAnonymous Poll18 voters

3. Ключевые навыки, которые помогут не пропасть в эпоху AGI?⚙️

  1. Creativity and taste56%
  2. Critical Thinking & Epistemic Humility (The "Truth Detector")44%
  3. Problem Formulation (The "Question Askers")33%
  4. Deep Interpersonal & Emotional Intelligence (EQ)44%
  5. Systems Thinking & Cross-Domain Synthesis28%
  6. Meta-Learning & Adaptability (Learning How to Learn)50%
  7. Ваш вариант (в комментариях)0%

The shares total 255%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

27 Jun 2026, 08:07 UTCAnonymous Poll15 voters

Когда появится AGI? 🧠

  1. Он уже есть40%
  2. Через 2 года7%
  3. К 203053%
  4. Никогда7%
  5. Ваш вариант (в комментариях)0%

The shares total 107%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

27 Jun 2026, 08:03 UTCAnonymous Poll12 voters

1. Какое определение AGI (Artificial General Intelligence) вам ближе?😄

  1. AGI is a machine capable of understanding or learning any intellectual task that a human being can.33%
  2. AGI is an autonomous system that surpasses humans at most economically valuable work.8%
  3. AGI is a system capable of exceeding human abilities across virtually all cognitive tasks.50%
  4. AI systems that can perform at human level across a wide range of domains.25%
  5. Superhuman systems that outperform humans on most economically valuable tasks.8%
  6. Ваш вариант (делимся в комментариях rus/eng)0%

The shares total 124%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 19 most recent posts we hold, published 6 May 2026 to 5 August 2026. 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.

Citation-graph rank

Citation-graph rank — 887,175 of 1,550,164entries 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.

Mentions

Named by 1 registered channel — 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.

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 и Образование” (@edulabai), 363 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/edulabai.

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.