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

Channel

Sber AI

@SberAIScience

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry

27,144subscribers

-1,009 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001747742978
TypeChannel
Username@SberAIScience
DescriptionAI для людей: всё об искусственном интеллекте в мире и Сбере 💚 Рассказываем, как AI меняет нашу жизнь, разбираем тренды технологий и делимся новыми разработками! Регистрация в РКН: https://gosuslugi.ru/snet/69844fc07cf9a7604aa9b8ee
Created4 April 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live26 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/SberAIScience

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

27,14428,15327,648.56 August 2026 — 28,153 subscribers6 August 2026 — 28,153 subscribers6 August 2026 — 28,130 subscribers7 August 2026 — 28,105 subscribers9 August 2026 — 28,083 subscribers10 August 2026 — 28,061 subscribers11 August 2026 — 28,037 subscribers12 August 2026 — 28,003 subscribers13 August 2026 — 28,000 subscribers14 August 2026 — 28,012 subscribers16 August 2026 — 27,989 subscribers17 August 2026 — 27,950 subscribers18 August 2026 — 27,928 subscribers19 August 2026 — 27,895 subscribers20 August 2026 — 27,860 subscribers21 August 2026 — 27,823 subscribers23 August 2026 — 27,799 subscribers25 August 2026 — 27,752 subscribers25 August 2026 — 27,727 subscribers26 August 2026 — 27,695 subscribers27 August 2026 — 27,679 subscribers29 August 2026 — 27,655 subscribers29 August 2026 — 27,634 subscribers30 August 2026 — 27,612 subscribers1 September 2026 — 27,595 subscribers2 September 2026 — 27,582 subscribers3 September 2026 — 27,562 subscribers5 September 2026 — 27,517 subscribers8 September 2026 — 27,449 subscribers11 September 2026 — 27,429 subscribers13 September 2026 — 27,388 subscribers15 September 2026 — 27,362 subscribers16 September 2026 — 27,320 subscribers19 September 2026 — 27,279 subscribers26 September 2026 — 27,144 subscribers6 August 202626 September 2026
35 measurements spanning 52 days, net -1,009. 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 26,993–28,304 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
26 Sept 2026, 16:1927,144-135
19 Sept 2026, 11:5827,279-41
16 Sept 2026, 22:0127,320-42
15 Sept 2026, 02:3827,362-26
13 Sept 2026, 11:1927,388-41
11 Sept 2026, 12:3927,429-20
8 Sept 2026, 19:5827,449-68
5 Sept 2026, 15:2027,517-45
3 Sept 2026, 14:1727,562-20
2 Sept 2026, 04:1827,582-13
1 Sept 2026, 03:0227,595-17
30 Aug 2026, 23:0727,612-22
29 Aug 2026, 22:3727,634-21
29 Aug 2026, 01:5327,655-24
27 Aug 2026, 23:3827,679-16
26 Aug 2026, 21:2927,695-32
25 Aug 2026, 23:4427,727-25
25 Aug 2026, 02:2527,752-47
23 Aug 2026, 15:5727,799-24
21 Aug 2026, 23:5827,823first reading

Engagement

87 posts held, back to 17 July 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 65 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.7%
avg views ÷ 27,144 subscribers
Avg views / post
4,270
38 posts measured
Reaction rate
4.30%
reactions ÷ views · ER floor
Posts in window
38
of 87 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 26 September 2026
Posts held87 (17 July 2026 – 26 September 2026)
Views total162,170
Reactions total6,976
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Sept 2026, 20:30 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

Photos
≈2,760
Videos
≈708
Links
≈2,290

Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
12m 32s
Average length
58s

Measured directly from 13 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

17,730 reactions across 85 posts, in 10 distinct kinds. The most used accounts for 23.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏4,09923.1%
❤4,04822.8%
🔥3,99022.5%
👍3,28518.5%
😍6783.82%
😎5803.27%
❤‍🔥5302.99%
💯4732.67%
🤔330.186%
custom 5386628187415422355140.079%

Custom emoji. One row above is a 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 count beside it is 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 87 of the 87 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 18,135 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 87 most recent posts we hold, published 17 July 2026 to 26 September 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

26 Sept 2026, 09:01 UTC≈2,650 views169 reactionsread 26 September 2026

Posted without readable text

🔥70👍36👏29❤9😍9😎6❤‍🔥5💯5

25 Sept 2026, 07:39 UTC≈3,330 views150 reactionsread 26 September 2026
Photo

От идеи до публикации уровня A* 📈 Как превратить исследовательскую идею в работу, которая заинтересует экспертов конференции? И где может помочь ИИ? 8 октября в Университете Иннополис состоится AI-спринт САПФИР для студентов и молодых исследователей, которые работают в области искусственного интеллекта За три часа мы пройдём весь путь подготовки научной работы 🤩 🟣 Научимся формулировать исследовательскую задачу 🟣 …

👏66🔥37❤27👍10😍10

24 Sept 2026, 14:51 UTC≈3,540 views164 reactionsread 26 September 2026

Posted without readable text

👏69🔥45👍22❤16😎8💯3❤‍🔥1

24 Sept 2026, 07:12 UTC≈3,880 views199 reactionsread 26 September 2026
Video

⌨️⌨️⌨️ — И ВСЁ КАК НАДО Так выглядит работа системного аналитика со стороны. А что там происходит на самом деле и помогают ли справляться нейросети? Поболтали с коллегами и принесли ценные знания от хранительниц этой сложной профессии 🤩 СОВЕТЫ И ЛАЙФХАКИ 👤🗣 Александры Шкабарня Наша профессия находится на острие технического прогресса, поскольку именно системный аналитик упаковывает смыслы в язык информационных сис…

🔥81👍37👏34❤19💯12😍6❤‍🔥5😎5

23 Sept 2026, 08:56 UTC≈3,800 views157 reactionsread 26 September 2026

Posted without readable text

👍64❤50🔥21👏15❤‍🔥7

22 Sept 2026, 09:24 UTC≈3,820 views208 reactionsread 26 September 2026

Posted without readable text

❤70🔥47👍22👏19❤‍🔥16😎14💯13🤔5

21 Sept 2026, 10:45 UTC≈3,740 views232 reactionsread 26 September 2026
Photo

🤖 ЭТО КАК LLM, НО dLLM Объяснение исчерпывающее, но нам захотелось глубже понять, как оценивать альтернативные архитектуры языковых моделей Заручились помощью учёных из Sber AI и команды AIRI. Теперь можно отправляться в путь! ВЫДАЁМ БАЗУ 👇 В отличие от привычных LLM, которые генерируют текст токен за токеном слева направо, dLLM могут восстанавливать несколько токенов параллельно и заполнять пропуски внутри текс…

👍74🔥47👏43❤33😎14💯10😍7❤‍🔥4

20 Sept 2026, 09:01 UTC≈4,000 views216 reactionsread 26 September 2026

Posted without readable text

👏76❤41🔥41👍33😎12💯8😍3❤‍🔥2

19 Sept 2026, 09:01 UTC≈7,040 views209 reactionsread 26 September 2026
Photo

Как создаются лучшие ИИ-решения 🤩 Обсудим 10 октября на конференции «AI: Research in action». Исследователи Сбера и научных партнёров представят статьи, разработки, ИИ-агентов. В программе — 10 экспертных докладов. Рассмотрим, как устроены LLM и мультиагентные системы, а также обсудим применение ИИ для анализа поведения и прогнозирования в финансовом секторе. А ещё разберём 🤩 🟣 Результаты исследований 2025 и 2026 …

🔥68👏47😍41❤36👍14❤‍🔥3

18 Sept 2026, 07:58 UTC≈9,230 views159 reactionsread 26 September 2026
Video

17 сентября в Москве прошла AI R&D DAY — конференция для исследовательских команд и создателей ИИ-систем 🔥 Более 600 участников на одной площадке, 20+ докладов — концентрат практического опыта, знаний и инструментов, готовых к внедрению сразу по возвращении в офис. Обсудили альтернативные архитектуры, обучение моделей и AI-агентов, долгосрочную мультимодальную память, новые модальности и коммуникации, а также бенчм…

👏67👍30❤28🔥27😍6😎1

17 Sept 2026, 07:01 UTC≈4,090 views190 reactionsread 26 September 2026
Video

НАУКА — ЭТО ПРО НАС 🧬🧬🧬🧬🧬🧬🧬🧬 Что общего у лекарства от болезни Бехтерева, сверхтвёрдого материала и редкого минерала с Кольского полуострова? 👇 Это лишь часть исследований лауреатов Научной премии Сбера, которые показали на Международном фестивале молодёжи в Екатеринбурге. На стендах представили работы семи лауреатов премии разных лет Нажмите на имя учёного, чтобы увидеть его открытие 👇 👤 Сергей ЛУКЬЯНОВ Разрабо…

🔥64👍51❤44👏28💯3

16 Sept 2026, 10:47 UTC≈4,080 views148 reactionsread 26 September 2026
Photo

ОН ВЕРНЁТСЯ К НАМ В СЕНТЯБРЕ 🤩 29–30 сентября пройдёт второй Московский стартап-саммит — конференция о технологическом предпринимательстве и открытых инновациях. Стартапы покажут свои решения для медицины, образования, сельского хозяйства, строительства, умных устройств и робототехники Участников ждут дискуссии, встречи с инвесторами и крупными компаниями, а также питч-шоу проектов из России и других стран. 🤩 Доб…

👏68❤30👍25🔥14😍11

Showing the 12 most recent of 87 posts we hold for @SberAIScience. 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.

Posts edited after publishing

@SberAIScience edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
27 August 2026
Most recent edit
26 September 2026

Polls

The 2 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.

4 Sept 2026, 08:43 UTCAnonymous Quiz80 voters

Какой вариант выберете? 🤩

  1. ШЕПЕЛЯВЫЙ20%
  2. МЫСЛЯЩИЙ36%
  3. ЖЕЛЕЗНОЯЗЫКИЙ19%
  4. МАККАРТИ++25%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

9 Aug 2026, 11:33 UTCAnonymous Quiz56 voters

Месед, Naine, Аккус

  1. Золото, женщина, видеть25%
  2. Солнце, подруга, помнить14%
  3. Огонь, девушка, говорить25%
  4. Лето, семья, искать36%

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 87 most recent posts we hold, published 17 July 2026 to 26 September 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.

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 6 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#75
Адель и МЛь
@adel_and_ml · 4,067
#76
Типичный программист
@tproger · 78,305
#77
Технотренды
@techno_media · 790,765
#78
Den4ik Research
@den4ikresearch · 1,782
#79
Pro Python • IT
@PythonTechCode · 4,174
#80
Data, Stories and Languages
@datastorieslanguages · 3,701
#81
ML Underhood
@MLunderhood · 4,805
#82
Дизраптор
@disruptors_official · 72,888
#83
Open Source
@open_source_friend · 52,304
#84
Бэкдор
@whackdoor · 1,603,481
#85
Эксплойт
@exploitex · 2,048,279
#86
Сергей Булаев AI 🤖
@sergiobulaev · 12,598
#87
Старший Авгур
@senior_augur · 8,118
#88
еба́ные идеи для резерча
@ebaresearch · 5,333
#89
42 секунды
@ftsec · 19,382
#90
grokaem себя
@grokaem_seby · 2,742
#91
Social Engineering
@Social_engineering · 125,008
#92
GitHub Community
@github · 155,991
#93
All about AI, Web 3.0, BCI
@alwebbci · 3,860
#94
(Не)случайные генерации
@KandinskyTV · 660
#95

Read from Telegram’s recommendation API, most recently 10 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Нейролента
@neirosety · 30,195
Telegram ranks this channel #48 of 87 here — alongside 86 others — read 7 September 2026
involta - технологии, наука, будущее, IT, интернет!
@involta · 34,073
Telegram ranks this channel #52 of 89 here — alongside 88 others — read 3 September 2026
Искусственный интеллект. Высокие технологии
@vistehno · 71,491
Telegram ranks this channel #55 of 94 here — alongside 93 others — read 20 August 2026
Bard AI | Нейросети & IT
@NeuralToday · 30,361
Telegram ranks this channel #63 of 85 here — alongside 84 others — read 7 September 2026

This channel appears in 4 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Sber AI” (@SberAIScience), 27,144 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/SberAIScience.

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.