Telegram RegisterThe public register of Telegram
Telegram profile photo for MWS AI

Channel

MWS AI

@mtsai

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

7,149subscribers

-92 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001593715747
TypeChannel
Username@mtsai
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/mtsai

Growth

7,1497,2417,1955 August 2026 — 7,241 subscribers6 August 2026 — 7,241 subscribers6 August 2026 — 7,240 subscribers9 August 2026 — 7,234 subscribers12 August 2026 — 7,221 subscribers15 August 2026 — 7,204 subscribers18 August 2026 — 7,188 subscribers21 August 2026 — 7,182 subscribers24 August 2026 — 7,180 subscribers27 August 2026 — 7,174 subscribers31 August 2026 — 7,176 subscribers3 September 2026 — 7,167 subscribers9 September 2026 — 7,149 subscribers5 August 20269 September 2026
13 measurements spanning 34 days, net -92. 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 7,135–7,255 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Sept 2026, 03:587,149-18
3 Sept 2026, 18:027,167-9
31 Aug 2026, 09:277,176+2
27 Aug 2026, 23:477,174-6
24 Aug 2026, 13:537,180-2
21 Aug 2026, 04:547,182-6
18 Aug 2026, 10:527,188-16
15 Aug 2026, 05:387,204-17
12 Aug 2026, 06:227,221-13
9 Aug 2026, 11:017,234-6
6 Aug 2026, 12:117,240-1
6 Aug 2026, 03:167,241no change
5 Aug 2026, 22:017,241first reading

Engagement

15 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 13 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.23%
avg views ÷ 7,149 subscribers
Avg views / post
660
4 posts measured
Reaction rate
2.46%
reactions ÷ views · ER floor
Posts in window
4
of 15 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 18 August 2026
Posts held15 (20 July 202618 August 2026)
Views total2,640
Reactions total65
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 11:55 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
2m 02s
Average length
1m 01s

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

192 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6031.3%
custom 52199834649205556425227.1%
custom 52196797420132487184523.4%
custom 52198436637350706263518.2%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 14 of the 15 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 209 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 20 July 2026 to 18 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
2
of 14 we hold a reading for · 14%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mtsai. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 15 most recent posts we hold for this entry, published 20 July 2026 to 18 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

18 Aug 2026, 07:00 UTC534 views2 reactions1 Starread 20 August 2026

⚡ Через час начинаем вебинар «С чего начать стратегию защиты корпоративного ИИ: паспорт ИИ-системы» ⚡ Последняя возможность успеть зарегистрироваться 🗒

2

17 Aug 2026, 13:58 UTC599 views18 reactionsread 20 August 2026
Photo

ИИ должен быть доступен каждому ❤️ Вместе с МТС запускаем «Каждый включен» — бесплатную онлайн-программу для людей с инвалидностью и особенностями здоровья, которые хотят освоить ИИ с нуля и применять его в работе. За семь недель участники научатся: ✅ искать и анализировать информацию с помощью ИИ; ✅ работать с текстами и коммуникациями; ✅ создавать визуальный контент; ✅ автоматизировать рабочие задачи; ✅ использов

10custom 52196797420132487184custom 52199834649205556424

17 Aug 2026, 08:00 UTC622 views7 reactionsread 20 August 2026
Video

⚡️ Уже завтра ⚡️ MWS AI и НИУ ВШЭ проведут открытую лекцию о безопасности корпоративного ИИ. Поговорим о том, как оценивать риски, считать последствия инцидентов и с чего начинать стратегию защиты. Регистрация 🗒

custom 52199834649205556424custom 52198436637350706262custom 52196797420132487181

13 Aug 2026, 14:46 UTC885 views38 reactionsread 20 August 2026
Video

Сначала автоматизируешь свою работу с помощью ИИ, а потом превращаешь этот опыт в продукт для других ⚡️ Так Арина Аймалетдинова перешла из продуктового маркетинга в продукт и теперь отвечает за копилот для маркетологов в MWS AI. За полторы минуты она рассказала о переходе в новую роль, о навыках, которые нужны новоиспечённому продуктологу, и о том, где в работе уже сложно обойтись без ИИ. А сколько своей работы вы

custom 52199834649205556421510custom 52198436637350706267custom 52196797420132487186

10 Aug 2026, 14:36 UTC951 views4 reactionsread 20 August 2026
Photo

4 «слона» безопасности ИИ в бизнесе 🛡 Когда ИИ-система выходит в прод и получает доступ к корпоративным данным, защищать приходится уже не только модель. Риски возникают в данных, промптах, интеграциях, действиях агентов и решениях на их основе. Одним фильтром или регламентом весь контур не закрыть, поэтому стратегия безопасности ИИ строится на четырёх опорах: ✅ карта рисков; ✅ архитектура защиты; ✅ процессы и роли

2custom 52198436637350706261custom 52199834649205556421

6 Aug 2026, 11:34 UTC942 views12 reactionsread 20 August 2026
Photo

ИИ-агенты изменят десятки существующих профессий? 👀 58% участников исследования Microsoft Work Trend Index 2026 уже выполняют с помощью нейросетей задачи, с которыми не смогли бы справиться год назад. При этом только 26% отмечают, что руководство объясняет, какую роль ИИ должен играть в работе компании и как будут меняться обязанности сотрудников. Главным вопросом для бизнеса сейчас становится то, кто будет выстраи

6custom 52199834649205556423custom 52198436637350706262custom 52196797420132487181

5 Aug 2026, 07:31 UTC754 views7 reactionsread 20 August 2026
Forwarded from @truetechcommunityPhoto

В этом году снова встречаемся на True Tech Champ! В новом сезоне крупнейшего ИТ-чемпионата России на одной площадке встретятся сильнейшие разработчики, студенты и школьники со всей страны. Тебя снова ждут уникальные задачи, которых не встретишь на учёбе, и нетворкинг с коллегами разных уровней в МТС Live Холле. Выбирай свой трек: Алгоритмический трек Решай задачи, соревнуйся с лучшими и поднимайся в рейтинге. Пр

4custom 52198436637350706262custom 52199834649205556421

4 Aug 2026, 12:01 UTC787 views10 reactionsread 20 August 2026
Photo

Доверили ИИ данные, но можно ли доверять самому ИИ? Чтобы ответ на этот вопрос не пришлось искать уже после инцидента, 18 августа проведём первую открытую лекцию программы «Стратегия безопасности искусственного интеллекта» от Центра ИИ-трансформации MWS AI и НИУ ВШЭ. В программе: ✅ покажем свежую статистику по утечкам через ИИ и объясним, почему полный запрет нейросетей не решает проблему; ✅ разберём, из чего сост

custom 521998346492055564254custom 52198436637350706261

31 Jul 2026, 15:02 UTC931 views13 reactionsread 20 August 2026
Photo

Как ИИ ускоряет одни разработки и сам зависит от других 🤖 Всемирный экономический форум совместно с научным издательством Frontiers опубликовал ежегодный список технологий, которые выходят за рамки фундаментальных исследований и приближаются к практическому применению. В этом году при подготовке доклада эксперты впервые использовали ИИ-инструменты для анализа тысяч научных публикаций и отраслевых материалов, после

6custom 52196797420132487184custom 52198436637350706263

29 Jul 2026, 11:02 UTC890 views11 reactionsread 20 August 2026
Photo

Почему мы сделали Cotype компактнее? 🤖 Продолжаем серию экспертных постов о технологиях, которые стоят за нашими продуктами. Последние несколько лет индустрия жила по одному правилу: чем больше параметров у модели, тем она умнее, и каждое следующее поколение LLM «наращивало веса». Но у такого пути развития есть потолок — даже два: технический и экономический. Недавно мы выпустили Cotype PRO 3 и Cotype LIGHT 3 — 27

custom 52199834649205556425custom 521967974201324871842

27 Jul 2026, 09:01 UTC704 views19 reactionsread 10 August 2026
Photo

Рынок больше не ищет просто специалистов по ИБ? 👀 Мы решили разобраться, как ИИ меняет рынок труда в информационной безопасности, и изучили свежие исследования и отраслевые обзоры. Собрали главное 🗒 74% компаний уже перестроили команды информационной безопасности из-за внедрения ИИ. Рутинная аналитика всё чаще автоматизируется, а спрос смещается к специалистам, способным защищать ИИ-системы, управлять связанными с

8custom 52196797420132487186custom 52198436637350706265

Showing the 12 most recent of 15 posts we hold for @mtsai. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 10 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.

Names

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

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

МТС
@mtsofficial · 49,876
Telegram ranks this channel #34 of 96 here — alongside 95 others — read 25 August 2026
Злой коллега
@zloy_kollega · 44,870
Telegram ranks this channel #41 of 98 here — alongside 97 others — read 28 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“MWS AI” (@mtsai), 7,149 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/mtsai.

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.