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Channel

CyberYozh AI Security

@CyberYozh_AI_security

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

26,008subscribers

-1,209 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
DescriptionКогда системы думают, действуют и оптимизируют без человека.
Created11 June 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/CyberYozh_AI_security

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 72% 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 the other topics.

Growth

26,00827,21726,612.57 August 202611 November 2026
64 measurements spanning 96 days, net -1,209. 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 25,827–27,398 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 02:5726,008-18
9 Nov 2026, 10:4726,026-10
7 Nov 2026, 22:4926,036-10
7 Nov 2026, 00:0826,046-10
5 Nov 2026, 22:1926,056-19
4 Nov 2026, 23:0126,075-4
4 Nov 2026, 01:2826,079-6
3 Nov 2026, 00:5826,085-14
1 Nov 2026, 23:0626,099-11
31 Oct 2026, 21:1626,110-11
30 Oct 2026, 21:4926,121-9
29 Oct 2026, 21:5026,130-11
28 Oct 2026, 20:5026,141-5
27 Oct 2026, 19:2926,146-23
26 Oct 2026, 21:0226,169-21
25 Oct 2026, 20:5926,190-5
24 Oct 2026, 18:0726,195-2
23 Oct 2026, 17:3626,197-3
22 Oct 2026, 16:1726,200-7
21 Oct 2026, 14:2626,207first reading

Engagement

29 posts held, back to 5 April 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 148 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
67.4%
avg views ÷ 26,008 subscribers
Avg views / post
17,500
4 posts measured
Reaction rate
0.057%
reactions ÷ views · ER floor
Posts in window
4
of 29 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 11 November 2026
Posts held29 (5 April 2025 – 11 November 2026)
Views total70,155
Reactions total40
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 18:46 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
361
Videos
121
Links
524

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

394 reactions across 29 posts, in 10 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍16942.9%
🔥9123.1%
❤8722.1%
😁143.55%
🤔143.55%
⚡71.78%
🤯71.78%
😈30.761%
👌10.254%
👏10.254%

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 29 of the 29 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 394 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 5 April 2025 to 11 November 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

Telegram’s own ‘edited’ marker: 1 of 4 posts held from the last 30 days (25.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 06:53 UTC615 views10 reactionsread 12 November 2026
Forwarded from @cyberyozh_official

Вижу, многие жалуются на блокировки нейронок, и, увы, нет оснований думать, что число банов со временем сократится. У меня есть небольшая инструкция о том, как создавать новые аккаунты, чтобы в вашем арсенале и в арсенале вашего бизнеса всегда были топовые нейросети. 1️⃣ Сначала — цифровая гигиена. Если Claude или OpenAI стоял у вас на ноутбуке до бана, у них остался идентификатор вашего железа. Первое время не захо…

❤4👍3🔥3

Signed Nikolai Zhuravlev

5 Nov 2026, 15:45 UTC≈1,450 views3 reactionsread 12 November 2026
Forwarded from @Shadow_of_FranklinPhoto

⚡️Бан по прописке: как Claude и ChatGPT вычисляют россиян почему VPN больше не спасает 📱 СМОТРЕТЬ [12:00] За первое полугодие 2026 года Anthropic забанила почти в восемь раз больше аккаунтов, чем за весь 2025-й. России и Беларуси в списке разрешённых стран нет. В видео разбираю, как именно тебя вычисляют и показываю по шагам действия, которые стоит сделать, пока аккаунт ещё жив. 🧪 Промт из видео — прожарь себя и …

🔥2👍1

Signed Nikolai Zhuravlev

26 Oct 2026, 06:23 UTC≈2,190 views13 reactionsread 12 November 2026
Forwarded from @cyberyozh_officialPhoto

Claude начал вычислять и банить пользователей из России при помощи анализа переписок модельками. И от этого не спасет VPN. Проверить можно просто спросив у AI, как он думает из какой вы страны. Если ответ Россия - вы в зоне риска. Баны работают полуавтоматически, потому не быстро, но верно. Вслед за Anthropic подобное ждем и у Open AI. Основная проблема, конечно, китайцы, им спасибо за баны. Вы точно знаете, где вз…

👍7🔥4😁1😈1

Signed Nikolai Zhuravlev

17 Oct 2026, 13:00 UTC≈65,900 views14 reactionsread 12 November 2026

Чтобы AI-агент навредил человеку, необязательно ставить ему вредоносную задачу. Вспомним историю, о которой ABC рассказала 10 августа 2026 года. Агент OpenClaw на базе Claude помогал пользователю записаться в спортзал. Чтобы продвинуть его в очереди, агент воспользовался ошибкой проверки прав в API и отменил чужую запись. Пользователь поднялся с четвёртого места на третье. Восстановить отменённую запись агент не смо…

👍7🔥5❤1😁1

Signed Nikolai Zhuravlev

4 Oct 2026, 12:25 UTC≈3,260 views14 reactionsread 12 November 2026

Похоже, проблемы с «побегами» AI-агентов это не особенность американских моделей. Недавно отличилась китайская Kimi K3 от Moonshot AI. 😅 Во время тестирования Frontier Security модель обнаружила, что из предполагаемо изолированной среды доступен GitHub, скачала репозиторий бенчмарка и нашла там ответ на поставленную задачу. Сложного взлома не было — агент просто нашёл ошибку в конфигурации и воспользовался ей. И Ki…

❤8👍5🤯1

Signed Nikolai Zhuravlev

18 Sept 2026, 17:46 UTC≈63,900 views19 reactionsread 12 November 2026

Агенты Claude устроили войну за сервер. И да, тут не все так просто. Исследователи запустили три копии Claude и втайне друг от друга поручили им переписать один Python-бэкенд на разные языки. Через несколько часов агенты обнаружили, что кто-то постоянно вмешивается в их работу, приняли друг друга за саботажников — и начали отвечать тем же. Отключали чужие Unix-аккаунты, убивали процессы конкурентов, защищали свои и …

👍7🔥5😁4❤2👏1

Signed Nikolai Zhuravlev

29 Aug 2026, 13:23 UTC≈3,820 views13 reactionsread 12 November 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…

❤7🔥5👍1

Signed Nikolay Alexandrovich

26 Aug 2026, 17:46 UTC≈3,850 views7 reactionsread 12 November 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🤔2⚡1

Signed Nikolai Zhuravlev

23 Aug 2026, 10:41 UTC≈3,620 views13 reactionsread 12 November 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…

🤔4❤3👍3😁2🔥1

Signed Nikolai Zhuravlev

31 Jul 2026, 16:42 UTC≈5,290 views19 reactionsread 12 November 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…

👍7❤5😁5👌1🔥1

Signed Nikolai Zhuravlev

5 Jun 2025, 14:05 UTC≈22,800 views48 reactionsread 12 November 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 …

🔥28❤14👍3🤔3

29 May 2025, 15:53 UTC≈17,800 views20 reactionsread 12 November 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…

🔥9❤5👍5😁1

Showing the 12 most recent of 29 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.

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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@neurosklad · 8,573
#91

Read from Telegram’s recommendation API, most recently 12 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.

Наличка
@nalichkarus · 20,003
Telegram ranks this channel #3 of 64 here — alongside 63 others — read 27 September 2026
Fabula AI • Нейросеть для селлеров
@fabula_community · 122,826
Telegram ranks this channel #7 of 70 here — alongside 69 others — read 27 August 2026
POINT | Нейросети
@gptpublic · 258,406
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 10 August 2026
Деньги Есть! 🏆 dengi4444
@dengi4444 · 23,558
Telegram ranks this channel #34 of 74 here — alongside 73 others — read 17 September 2026
PRO | Нейросети
@pro_neiroset · 31,319
Telegram ranks this channel #34 of 86 here — alongside 85 others — read 5 September 2026
NeuroADEPT
@neuroadepts · 40,362
Telegram ranks this channel #34 of 85 here — alongside 84 others — read 29 August 2026
CyberYozh
@cyberyozh_official · 62,629
Telegram ranks this channel #42 of 81 here — alongside 80 others — read 21 August 2026
AI Университет
@neural_university_webinar · 37,034
Telegram ranks this channel #43 of 96 here — alongside 95 others — read 31 August 2026
Нейроновости
@neuranews · 19,384
Telegram ranks this channel #46 of 87 here — alongside 86 others — read 30 September 2026
chatgpt_neiro_news
@neirosety · 1
Telegram ranks this channel #50 of 87 here — alongside 86 others — read 7 September 2026
GPT-4 Community
@gpt4_tg · 52,619
Telegram ranks this channel #52 of 90 here — alongside 89 others — read 23 August 2026
Нейро Ликбезик | Кирилл Безиков
@kirillbezikov · 19,920
Telegram ranks this channel #56 of 96 here — alongside 95 others — read 29 September 2026
Serge_AI 1.0
@serge_ai · 56,422
Telegram ranks this channel #58 of 99 here — alongside 98 others — read 23 August 2026
Neural Brain - Нейросети
@neural_braining · 21,211
Telegram ranks this channel #71 of 90 here — alongside 89 others — read 23 September 2026
Ёжик too money
@yozhiktoo · 89,757
Telegram ranks this channel #88 of 89 here — alongside 88 others — read 17 August 2026

This channel appears in 15 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“CyberYozh AI Security” (@CyberYozh_AI_security), 26,008 subscribers as measured 11 November 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.