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CyberYozh AI Security

@CyberYozh_AI_security

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

26,708subscribers

-509 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-1001256005354
TypeChannel
Username@CyberYozh_AI_security
Created11 June 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live3 September 2026
Measurements held26
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/CyberYozh_AI_security

Growth

26,70827,21726,962.57 August 2026 — 27,217 subscribers7 August 2026 — 27,217 subscribers8 August 2026 — 27,203 subscribers9 August 2026 — 27,189 subscribers10 August 2026 — 27,179 subscribers11 August 2026 — 27,164 subscribers12 August 2026 — 27,148 subscribers13 August 2026 — 27,135 subscribers14 August 2026 — 27,131 subscribers16 August 2026 — 27,112 subscribers17 August 2026 — 27,109 subscribers18 August 2026 — 27,099 subscribers19 August 2026 — 27,081 subscribers20 August 2026 — 27,070 subscribers22 August 2026 — 27,062 subscribers24 August 2026 — 26,952 subscribers25 August 2026 — 26,918 subscribers26 August 2026 — 26,901 subscribers27 August 2026 — 26,825 subscribers28 August 2026 — 26,810 subscribers29 August 2026 — 26,796 subscribers30 August 2026 — 26,766 subscribers31 August 2026 — 26,752 subscribers1 September 2026 — 26,735 subscribers2 September 2026 — 26,730 subscribers3 September 2026 — 26,708 subscribers7 August 20263 September 2026
26 measurements spanning 27 days, net -509. 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 26,632–27,293 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
3 Sept 2026, 10:0826,708-22
2 Sept 2026, 05:2226,730-5
1 Sept 2026, 08:4526,735-17
31 Aug 2026, 08:1626,752-14
30 Aug 2026, 05:3526,766-30
29 Aug 2026, 05:0726,796-14
28 Aug 2026, 08:2526,810-15
27 Aug 2026, 10:5526,825-76
26 Aug 2026, 07:3526,901-17
25 Aug 2026, 04:3726,918-34
24 Aug 2026, 02:0126,952-110
22 Aug 2026, 09:3527,062-8
20 Aug 2026, 20:1727,070-11
19 Aug 2026, 20:5127,081-18
18 Aug 2026, 21:1927,099-10
17 Aug 2026, 17:4827,109-3
16 Aug 2026, 16:1627,112-19
14 Aug 2026, 21:3627,131-4
13 Aug 2026, 11:2927,135-13
12 Aug 2026, 14:5427,148first reading

Engagement

23 posts held, back to 5 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.37%
avg views ÷ 26,708 subscribers
Avg views / post
1,430
3 posts measured
Reaction rate
0.651%
reactions ÷ views · ER floor
Posts in window
3
of 23 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 29 August 2026
Posts held23 (5 April 202529 August 2026)
Views total4,303
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:00 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.

Reaction mix

308 reactions across 23 posts, in 9 distinct kinds. The most used accounts for 43.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍13443.5%
7022.7%
🔥6922.4%
🤔134.22%
72.27%
😁61.95%
🤯61.95%
😈20.649%
👌10.325%

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 23 of the 23 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 308 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 5 April 2025 to 29 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

29 Aug 2026, 13:23 UTC793 views9 reactionsread 3 September 2026
Forwarded from @cyberyozh_official

🛡 Что нужно знать, чтобы стать специалистом по AI Security? Мы собрали большой чек-лист навыков и технологий, по которому можно проверить себя или построить собственный roadmap обучения. Внутри roadmap от базы до продвинутого уровня: → Linux, сети, Python и классическая безопасность → устройство LLM, RAG и AI-агентов → Prompt Injection и Jailbreaks → безопасность RAG, MCP и Agentic AI → Model & Supply Chain Securi

5🔥4

Signed Nikolay Alexandrovich

26 Aug 2026, 17:46 UTC≈1,480 views7 reactionsread 3 September 2026

В новом российском законе об ИИ появились два термина, которые специалистам по AI Security точно стоит запомнить: «суверенная большая фундаментальная модель» и «национальная большая фундаментальная модель». На первый взгляд звучит как очередная юридическая классификация LLM. Но на практике речь идёт о том, насколько государство может доверять происхождению модели, инфраструктуре её разработки и возможности контролир

👍4🤔21

Signed Nikolai Zhuravlev

23 Aug 2026, 10:41 UTC≈2,030 views12 reactionsread 3 September 2026

Британский AI Security Institute опубликовал любопытный incident report: во время обычного тестирования киберспособностей несколько AI-агентов неожиданно вышли за пределы полигона и начали действовать в реальном Интернете. Самый интересный случай произошёл с Mythos 5. Не сумев решить security challenge предполагаемым способом, агент попытался провести supply-chain атаку на реальный open-source проект: подготовил вре

3👍3🤔3😁2🔥1

Signed Nikolai Zhuravlev

31 Jul 2026, 16:42 UTC≈3,930 views16 reactionsread 3 September 2026

26 июля 2026 года был подписан первый федеральный закон России в сфере ИИ - Федеральный закон № 243-ФЗ «О поддержке развития технологий искусственного интеллекта в Российской Федерации» (основная часть его положений начнет действовать с 1 сентября 2026 года). Он не похож на европейский AI Act: вместо детального регулирования всех категорий ИИ это рамочный закон, который задает основные принципы, полномочия государс

👍65😁3👌1🔥1

Signed Nikolai Zhuravlev

5 Jun 2025, 14:05 UTC≈21,800 views48 reactionsread 3 September 2026
File

Создавай короткие видео без камеры и сценария и зарабатывай на этом! 🌐 Смотреть гайд (34:57) Сегодня покажу, как полностью автоматизировать создание контента для YouTube и TikTok с помощью AI и платформы N8N. Никаких съёмок, актеров, написания сценариев или монтажа — только нейросети, автоматизация и пару кликов. 🔸 Генерация картинок по промптам 🔸 Автоматический монтаж видео из сцен 🔸 Генерация звука с AI-моделью

🔥2814👍3🤔3

29 May 2025, 15:53 UTC≈17,000 views19 reactionsread 3 September 2026
Photo

Создание ИИ-агента с помощью N8N: пошаговое руководство для Новичков 🌐 Смотреть видео Если ты давно хотел автоматизировать рутину с помощью ИИ, но не знал с чего начать — этот выпуск для тебя. Пошагово показываем, как создать простого, но полезного AI-агента на платформе N8N без строчки кода. В выпуске: 🔸 Как интегрировать OpenAI в свой рабочий процесс 🔸 Как автоматизировать задачи с помощью триггеров и сценариев

🔥85👍5😁1

25 May 2025, 15:04 UTC≈12,600 views14 reactionsread 3 September 2026
Photo

Как сделать свой мультфильм с помощью ИИ за 5 минут! 🌐 Смотреть видео (12:55) Анимация — это мощный способ рассказывать истории, и современные нейросети делают этот процесс проще, чем когда-либо. В новом видео мы показываем, как с помощью ChatGPT и современных AI-инструментов создавать живые, интересные анимационные ролики без сложных навыков. В выпуске: 🔸 Как генерировать сценарии для анимаций с помощью искусств

👍11🔥21

22 May 2025, 12:26 UTC≈9,240 views13 reactionsread 3 September 2026
Forwarded from @cyberyozh_officialPhoto

CyberTalks: Правила жизни Васи Беспалефона — откровенный разговор о цифровой безопасности, приватности и личных принципах в эпоху тотального слежения Павла Хавского x BespalePhone 📱 Смотреть интервью 📱 Сегодня для вас эфир с человеком (легендой), который живёт без смартфона, уверен, что Google следит за всеми, и вообще считает, что интернет должен быть приватным, как разговор на кухне в 90-е. Вася Беспалефон — стар

🔥73👍3

19 May 2025, 11:53 UTC≈6,140 views19 reactionsread 3 September 2026
Forwarded from @cyberyozh_official

«Удалите меня отсюда». Как реально стереть цифровой след. Кажется, в 2025 году фраза «в интернете ничего не забывается» звучит уже как приговор. Ты когда-то оставил коммент под чужим постом, зарегистрировался на форуме, купил чай в онлайн-магазине в 2014 — и теперь твоё имя, имейл, номер телефона и (о, привет!) фото с выпускного всё ещё болтаются где-то в выдаче. Или на гей-сайте знакомств, где ты когда-то поставил

👍13🔥42

15 May 2025, 16:52 UTC≈5,740 views13 reactionsread 3 September 2026
Photo

Пассивный доход с нейросетями: схема + рабочие инструменты 🌐 Смотреть видео (13:43) Нейросети — это не только мемы и арты, но и рабочий инструмент для стабильного дохода. Подготовили для вас новый гайд, где без воды показываем, как собрать простую схему заработка с помощью ChatGPT, прокси и умных промптов. В выпуске: 🔸 Как превратить навыки в автоматический источник дохода 🔸 Зачем нужны качественные прокси и где

🔥6👍43

9 May 2025, 10:55 UTC≈6,020 views4 reactionsread 3 September 2026
Forwarded from @cyberyozh_officialPhoto

Хавский Громко: у кибер-холмов ТОЖЕ есть глаза *Интервью с основателем хакерской группировки SECTOR16 by Павел Хавский 🌐 Смотреть интервью Маэстро взял интервью у Oleg Root (S16), не последнего человека из темного мира хакинга и киберпреступлений. Обсуждали, кто они — те, кто ставит admin:admin на софте нефтяных вышек США, какие методы фишанга используются, чтобы получить доступ к государственным инфраструктурам,

👍4

5 May 2025, 13:35 UTC≈5,990 views14 reactionsread 3 September 2026
Photo

С Нуля до мастера ChatGPT за 10 минут || Подборка самый востребованных лайфхаков для нейросетей 🌐 Смотреть видео (13:27) 🔥 Новый выпуск на канале — всё про ChatGPT в 2025! 💡 Что изменилось? Как работает? Какие новые функции появились? А главное — как пользоваться ChatGPT, если доступ ограничен или заблокирован? В этом видео: ✅ Как ChatGPT изменился за последний год ✅ Какие новые возможности появились у нейросети

🤯6👍52😈1

Showing the 12 most recent of 23 posts we hold for @CyberYozh_AI_security. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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.

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.

Fabula AI • Нейросеть для селлеров
@fabula_community · 125,562
Telegram ranks this channel #7 of 70 here — alongside 69 others — read 27 August 2026
ChatGPT | Нейросети
@gptpublic · 270,684
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 10 August 2026
NeuroADEPT
@neuroadepts · 41,660
Telegram ranks this channel #34 of 85 here — alongside 84 others — read 29 August 2026
CyberYozh
@cyberyozh_official · 62,675
Telegram ranks this channel #42 of 81 here — alongside 80 others — read 21 August 2026
AI Университет
@neural_university_webinar · 37,686
Telegram ranks this channel #43 of 96 here — alongside 95 others — read 31 August 2026
GPT-4 Community
@gpt4_tg · 54,900
Telegram ranks this channel #52 of 90 here — alongside 89 others — read 23 August 2026
Serge_AI 1.0
@serge_ai · 57,784
Telegram ranks this channel #58 of 99 here — alongside 98 others — read 23 August 2026
Ёжик too money
@yozhiktoo · 89,126
Telegram ranks this channel #88 of 89 here — alongside 88 others — read 17 August 2026

This channel appears in 8 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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“CyberYozh AI Security” (@CyberYozh_AI_security), 26,708 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/CyberYozh_AI_security.

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.