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Channel

Русские нейронные сети

@neyronnyeseti

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

30,247subscribers

-698 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002009294613
TypeChannel
Username@neyronnyeseti
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/neyronnyeseti

Growth

30,24730,94530,5967 August 2026 — 30,945 subscribers7 August 2026 — 30,945 subscribers8 August 2026 — 30,939 subscribers8 August 2026 — 30,916 subscribers10 August 2026 — 30,905 subscribers10 August 2026 — 30,899 subscribers12 August 2026 — 30,857 subscribers12 August 2026 — 30,844 subscribers14 August 2026 — 30,768 subscribers15 August 2026 — 30,341 subscribers17 August 2026 — 30,247 subscribers7 August 202617 August 2026
11 measurements spanning 10 days, net -698. 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 30,142–31,050 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 10:2830,247-94
15 Aug 2026, 20:4830,341-427
14 Aug 2026, 11:1830,768-76
12 Aug 2026, 23:5530,844-13
12 Aug 2026, 01:1230,857-42
10 Aug 2026, 22:3230,899-6
10 Aug 2026, 01:1430,905-11
8 Aug 2026, 23:1030,916-23
8 Aug 2026, 00:0130,939-6
7 Aug 2026, 15:4530,945no change
7 Aug 2026, 15:3430,945first reading

Engagement

22 posts held, back to 29 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 23 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.23%
avg views ÷ 30,247 subscribers
Avg views / post
1,580
5 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 22 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 13 August 2026
Posts held22 (29 April 202613 August 2026)
Views total7,910
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 16:35 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 23s
Average length
1m 12s

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

28 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2175.0%
💯310.7%
🫡27.14%
👏13.57%
🤷‍♂13.57%

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 15 of the 22 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 29 April 2026 to 13 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

13 Aug 2026, 08:38 UTC≈2,320 viewsread 16 August 2026

Ведомости: ФСБ будет проверять нейросети на духовность в России. Для ИИ-моделей разработают критерии соответствия российским законам и традиционным духовно-нравственным ценностям. Разработкой требований займутся ФСБ и Минцифры

11 Aug 2026, 12:03 UTC≈1,070 viewsread 16 August 2026

VK Видео запустили ИИ-инструмент для авторов контента Нейросеть автоматически размечает длинные видео на эпизоды, анализирует ролики длительностью более 10 минут, определяет переходы между темами и генерирует готовую структуру с тайм-кодами и названиями глав. Работает для видео, опубликованных от имени канала и загруженных не более шести месяцев назад

4 Aug 2026, 16:29 UTC≈1,210 viewsread 16 August 2026
Forwarded from @lobushkinflashVideo

«Сбер» открыл код модели Kandinsky WM 1.0 для обучения роботов и беспилотных такси, используемой в центре робототехники. Это не полноценная нейросеть для симуляции, а генератор обучающих роликов. Модель обучена на 5,3 млн видео с камер роботов и автомобилей — vc.ru #сбер #ai #kandinsky

4 Aug 2026, 10:53 UTC≈1,190 viewsread 16 August 2026
Forwarded from @contentreviewPhoto

Цифра дня 85% российских учёных используют ИИ в работе. Чаще всего с его помощью они ищут информацию и научную литературу, переводят статьи, редактируют тексты, проверяют грамматику и готовят презентации. По данным опроса НИУ ВШЭ, к генеративным сервисам обращаются 84% из 1209 опрошенных исследователей. Специализированные инструменты, включая машинное обучение, используют только 27%. С их помощью учёные разрабатыва

31 Jul 2026, 09:50 UTC≈2,120 viewsread 16 August 2026
Forwarded from @kurilka_yandex

🤖 Яндекс собирает универсального ИИ-сотрудника для офиса Yandex B2B Tech к концу сентября выпустит универсального ИИ-агента для бизнеса. Он сможет работать поверх корпоративных сервисов и брать на себя часть задач менеджеров, бухгалтеров, аналитиков, маркетологов и закупщиков. Речь не только о привычных конспектах встреч и пересказе документов. Агент сможет, например, сравнить предложения поставщиков, подготовить з

17 Jul 2026, 14:58 UTC≈1,690 views2 reactionsread 16 August 2026
Forwarded from @lobushkinflashVideo

Глава Сбера Герман Греф обвинил Яндекс в том, что их ИИ — китайский — Sachok AI #Сбер #Яндекс #ai

🫡2

4 Jul 2026, 13:44 UTC≈2,400 views1 reactionsread 16 August 2026
Forwarded from @akosprVideo

AI-индекс СМИ: какие издания чаще всего цитируют нейросети Надежда Жуковская, директор по связям с общественностью компании «Медиалогия», на сессии представила интегральный AI-индекс — новый инструмент оценки того, какие СМИ чаще всего попадают в ответы нейросетей. Метрика учитывает три параметра: частоту упоминаний издания в нейровыдаче, его позиции в поисковых системах (Яндекс и Google) и традиционный медийный ве

👏1

4 Jul 2026, 13:40 UTC≈2,400 viewsread 16 August 2026

Минцифры станет главным регулятором искусственного интеллекта в РФ. Проект постановления правительства опубликован на портале проектов нормативных актов. Министерство сможет согласовывать нормативные документы других ведомств, касающиеся искусственного интеллекта. Всего в положение добавляется 20 новых функций. В сопроводительных документах к проекту сказано, что потенциально под регулирование подпадают почти 28 т

2 Jul 2026, 17:08 UTC≈3,730 views3 reactionsread 16 August 2026

Ведомости: Авито запустит бесплатный сервис «ХвостРадар» для поиска пропавших питомцев с помощью ИИ. Алгоритм анализирует окрас, породу, форму морды и другие визуальные признаки, сопоставляет фото с объявлениями о найденных животных и учитывает геолокацию и дату публикации.

2💯1

22 Jun 2026, 10:35 UTC≈3,890 views2 reactionsread 16 August 2026

Зарубежные нейросети в России не запретят до 2032 года Финальная версия законопроекта об ИИ: ограничения только для госуправления и критической инфраструктуры. Бизнес и обычные пользователи продолжают пользоваться ChatGPT, Claude и остальными как прежде. Требование обучать российские модели только на отечественных данных тоже убрали.

2

22 Jun 2026, 10:30 UTC≈3,640 views2 reactionsread 16 August 2026
Forwarded from @turboproject

⚖️ Закон о «Принудительной Гигачатизации» провалился. Как пишут «Известия», тут сыграла роль критика в профессиональных сообществах. В Телеграм критику из каналов по ИИ вел фактически только мой канал, как видим, это работает. Часть чиновников из властных органов даже участвуют в нашем чате, поэтому, как видим, не все так плохо. Реакция на мнение рынка есть. До 2032 года даже госорганы и «компании критической инфрас

💯2

19 Jun 2026, 10:14 UTC≈2,530 views0 reactionsread 16 August 2026
Forwarded from @streamgi

Rutube объявил об интеграции ИИ-агента. Правда, это не агент, а обычный ИИ-помощник на основе Gigachat с обработкой Rambler, и не в Rutube, а отдельный раздел, посвященный чемпионату мира. Раздел отдельный, очевидно, чтобы больше заработать на рекламе – даже если у пользователя оформлена подписка на Rutube, отключающая рекламу, в обзорах матчей чемпионата мира реклама все равно демонстрируется. И ладно бы обзоры матч

Showing the 12 most recent of 22 posts we hold for @neyronnyeseti. 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 — 1,121,781 of 1,481,277entries 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.

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

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

“Русские нейронные сети” (@neyronnyeseti), 30,247 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/neyronnyeseti.

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.