Telegram RegisterThe public register of Telegram

Channel

red_mad_robot

@Redmadnews

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

11,455subscribers

-12 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-1001384682302
TypeChannel
Username@Redmadnews
DescriptionЗапускаем цифровые бизнесы и помогаем компаниям внедрять AI. Делимся аналитикой по рынку и кейсами и рассказываем, что нас держит в топе уже 17 лет. redmadrobot.ru Про технологии рассказываем в @rmr_rnd, а ещё ведём подкаст youtube.com/@podcast2tok
Created11 January 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Redmadnews

Growth

11,45311,46711,4606 August 2026 — 11,467 subscribers6 August 2026 — 11,467 subscribers7 August 2026 — 11,463 subscribers8 August 2026 — 11,464 subscribers9 August 2026 — 11,457 subscribers10 August 2026 — 11,453 subscribers11 August 2026 — 11,457 subscribers12 August 2026 — 11,455 subscribers11,4556 August 202612 August 2026
8 measurements spanning 6 days, net -12. 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 11,451–11,469 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:3811,455-2
11 Aug 2026, 17:4211,457+4
10 Aug 2026, 19:1211,453-4
9 Aug 2026, 17:0111,457-7
8 Aug 2026, 16:3611,464+1
7 Aug 2026, 17:4411,463-4
6 Aug 2026, 12:1511,467no change
6 Aug 2026, 12:0911,467first reading

Engagement

17 posts held, back to 16 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.0%
avg views ÷ 11,455 subscribers
Avg views / post
1,370
17 posts measured
Reaction rate
1.91%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 12 August 2026
Posts held17 (16 July 202612 August 2026)
Views total23,317
Reactions total445
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 04:06 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
2,620
Videos
171
Links
3,690

Lifetime counters from Telegram’s own channel header, read 13 August 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
56s
Average length
56s

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

445 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 521340299949743706717338.9%
custom 521113138270464969014733.0%
12528.1%

Custom emoji. 2 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 areTelegram’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 17 of the 17 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 445reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 16 July 2026 to 12 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

12 Aug 2026, 16:43 UTC610 views27 reactionsread 13 August 2026

Как ваше ФИО превращается в PERSON_1 до того, как долетит до ChatGPT ФИО, телефон, почта и паспортные данные могут попасть в запрос к модели и выйти за пределы защищённого контура компании. Миша Мартьянов объясняет, как Guardrails и псевдоанонимизация помогают этого избежать. ↗️ red_mad_robot

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11 Aug 2026, 10:42 UTC937 views34 reactionsread 13 August 2026
File

red_mad_robot попал на карту российской ИИ-экосистемы от Gateway House Gateway House — независимый исследовательский центр из Мумбаи, который изучает международную политику и геоэкономику. В новом материале его аналитики собрали карту из 38 российских ИИ-компаний, разрабатывающих собственные модели и продукты. Авторы рассматривают российский ИИ как отдельную технологическую экосистему: от базовых моделей до приклад

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9 Aug 2026, 09:08 UTC≈1,120 views18 reactionsread 13 August 2026

ИИ-агентов научили дешевле проверять себя и быстрее учиться: главное за неделю в ИИ Аналитический центр red_mad_robot рассказывает и комментирует главные новости индустрии за неделю с 3 по 7 августа 🟥Alibaba показала LongHorizon-Harness — фреймворк, который помогает ИИ-агентам надёжнее выполнять длинные и сложные задачи. Главная идея — разделить выполнение задачи и проверку результата. После каждого этапа отдельный

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6 Aug 2026, 08:36 UTC≈1,720 views42 reactionsread 13 August 2026

Первый выпуск начинается со спора самих ведущих ИИ —начало конца творческих профессий ИИ — начало новой эпохи творчества Обсуждаем это вместе с художником Покрасом Лампасом и Денисом Димитровым, CTO Kandinsky и управляющим директором по исследованию данных Сбера. Начинаем с простого эксперимента: показываем изображения и видео и пытаемся определить, где работа человека, а где — результат генерации. Даже эксперты,

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5 Aug 2026, 15:16 UTC≈1,190 views48 reactionsread 13 August 2026
Video

Первый выпуск 2ТОК — завтра на нашем YouTube 🕐 Открываем сезон разговором с художником Покрасом Лампасом и управляющим директором по исследованию данных Сбера и CTO Kandinsky Денисом Димитровым. ↗️ red_mad_robot

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5 Aug 2026, 14:49 UTC≈1,150 views38 reactionsread 13 August 2026
Photo

⚡️ Запускаем ток ⚡️ Врываемся с новостью — мы запустили подкаст 2ТОК. To talk — потому что мы ищем ответы через разговор. «Ток» — потому что ИИ становится технологией, которая, как когда-то электричество, меняет направление и бьёт по привычным представлениям о профессиях и целых индустриях. Ведущие подкаста — CEO red_mad_robot AI и основатель стартапов в сфере ИИ Илья Филиппов и основатель ГенИИ и советник Ассоциац

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4 Aug 2026, 16:09 UTC≈1,240 views33 reactionsread 13 August 2026
Photo

Чего не видно ни в одном бизнес-отчёте Ищем компании, готовые протестировать новый подход к исследованию бизнес-процессов с помощью связки ИИ-агентов. Наша гипотеза — автоматизированные интервью с командой позволяют за несколько дней находить в процессах компании скрытые причины потерь времени и денег. Приведём пример — допустим, согласование заявки на закупку. Системы со статусами заявки покажут на каком шаге проц

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3 Aug 2026, 16:04 UTC≈1,180 views23 reactionsread 13 August 2026

Самая дорогая ошибка — думать, что после обучения сотрудников внедрение ИИ закончено Пока каждый собирает собственный набор агентов, моделей и рабочих сценариев, компания получает разрозненные локальные улучшения. Следующий шаг — превратить этот опыт в единую ИИ-систему, которую бизнес может самостоятельно развивать и масштабировать. Об этом, а также о переходе от пилотов к системным изменениям, новой роли ИИ в раз

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2 Aug 2026, 09:38 UTC≈1,200 views11 reactionsread 13 August 2026

Опыт теперь не стирается вместе с чатом: главное за неделю в ИИ Аналитический центр red_mad_robot рассказывает и комментирует главные новости индустрии за неделю с 27 по 31 июля 🟥Monash University и ByteDance Seed представили Experience Distillation (EDP) — метод, который сохраняет опыт ИИ-агента прямо в параметрах модели. Проблема современных агентов: они хорошо учатся на собственном опыте, пока он лежит в контек

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29 Jul 2026, 16:38 UTC≈1,730 views14 reactionsread 13 August 2026

Технологическое превосходство перестало быть решающим? Компании внедряют одинаковые ИИ-инструменты и получают на выходе похожие продукты, а исход конкуренции всё равно разный. Руководитель AI-портфеля продуктов red_mad_robot Кирилл Мозолёв разобрал эту логику на Нетконференции ИИ в Центре ИИ СПбГУ и показал, что определяет победителя, если не технология. Делимся ключевыми тезисами выступления: Канал сильнее техноло

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28 Jul 2026, 12:37 UTC≈1,650 views24 reactionsread 13 August 2026
Photo

⚡️ DCD Design снова на сцене — теперь в финале Generation AI Awards DCD Design — наш совместный с Билайном подход к организации знаний для ИИ-агентов в компаниях. Он помогает работать с внутренней информацией по понятным правилам: где искать данные, какие источники учитывать и как проверять ответ перед выдачей. Именно за счёт этого агент становится управляемым — в цифрах это рост точности с 78% до 94%. А месяц наза

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26 Jul 2026, 08:17 UTC≈1,750 views13 reactionsread 13 August 2026

Не всякий прогресс агента — прогресс: разбираем главное за неделю Аналитический центр red_mad_robot рассказывает и комментирует главные новости индустрии за неделю с 20 по 24 июля 🟥Tencent и другие организации представили Harness Handbook — систему, которая автоматически строит трёхуровневую карту проекта и связывает поведение программы во время выполнения с конкретными этапами обработки, функциями и файлами исходн

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Showing the 12 most recent of 17 posts we hold for @Redmadnews. 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 — 56,034 of 1,160,990entries 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

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 13 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.

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

“red_mad_robot” (@Redmadnews), 11,455 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Redmadnews.

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.