Telegram RegisterThe public register of Telegram

Channel

Скинь мне почитать

@link4read

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

33subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002335407401
TypeChannel
Username@link4read
DescriptionКанал для интересных материалов по ИБ. Обратная связь: @dmitrynikitin
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live11 August 2026
Measurements held2
On Telegramt.me/link4read

Growth

337 August 2026 — 33 subscribers11 August 2026 — 33 subscribers7 August 202611 August 2026
2 measurements spanning 3 days. 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 32–34 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 01:3133no change
7 Aug 2026, 18:0333first reading

Engagement

20 posts held, back to 26 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
49.5%
avg views ÷ 33 subscribers
Avg views / post
16.3
3 posts measured
Reaction rate
16.3%
reactions ÷ views · ER floor
Posts in window
3
of 20 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 7 August 2026
Posts held20 (26 February 20267 August 2026)
Views total49
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 01:31 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
28
Videos
4
Links
34

Lifetime counters from Telegram’s own channel header, read 11 August 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.

Video runtime
20s
Average length
20s

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

51 reactions across 17 posts, in 17 distinct kinds. The most used accounts for 21.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1121.6%
815.7%
🔥611.8%
😨47.84%
🤯47.84%
🍌35.88%
🌭23.92%
🍾23.92%
😁23.92%
🙈23.92%
11.96%
👏11.96%
😈11.96%
😎11.96%
😢11.96%
😱11.96%
🤔11.96%

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 20 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 51reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 26 February 2026 to 7 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

7 Aug 2026, 07:43 UTC14 views3 reactionsread 11 August 2026
Forwarded from @ai_machinelearning_big_dataPhoto

⚡️ Третий случай "побега" ИИ Meta* сообщила, что Muse Spark 1.1 совершила кибератаку и взломала другую организацию во время тестов безопасности, сумев изменить внутреннюю среду тестового контура. СМИ растиражировали эту новость, но по факту никакого прорыва защиты не было. Стартап Irregular, который проводил тесты для Meta, допустил критическую ошибку в конфигурации - вместо создания изолированной песочницы инжен

1👍1🤔1

22 Jul 2026, 09:45 UTC19 views1 reactionsread 11 August 2026
Forwarded from @data_secretsPhoto

Вы не поверите, но за той самой ИИ-атакой на Hugging Face стоит… OpenAI Сейчас будет история, которая может перевернуть ваш взгляд на риски ИИ. Вчера мы писали про атаку на Hugging Face, которую полностью автономно провела некая ИИ-система: t.me/data_secrets/9577. Какая именно модель стояла за атакой, HF выяснить не удалось, но за пару дней она сгенерировала 17 тысяч вредоносных действий, используя зараженный дата

🤯1

1 Jul 2026, 02:43 UTC42 viewsread 11 August 2026

Министерство торговли США сняло экспортные ограничения с моделей Claude Fable 5 и Claude Mythos 5. Anthropic начинает восстанавливать доступ, полное возвращение — с 1 июля. Так завершился почти трёхнедельный конфликт между компанией и администрацией, начавшийся с внезапного отключения обеих моделей в середине июня. Рассказал подробнее здесь. 📕Скинь мне почитать

28 Jun 2026, 04:27 UTCviews —

Скинь мне почитать pinned «Применение технологий искусственного интеллекта в обеспечении кибербезопасности банковского сектора: Опубликован обзор здесь: https://telegra.ph/Primenenie-tehnologij-iskusstvennogo-intellekta-v-obespechenii-kiberbezopasnosti-bankovskogo-sektora-06-25 📕Скинь…»

24 Jun 2026, 12:43 UTC51 viewsread 11 August 2026

Применение технологий искусственного интеллекта в обеспечении кибербезопасности банковского сектора: Опубликован обзор здесь: https://telegra.ph/Primenenie-tehnologij-iskusstvennogo-intellekta-v-obespechenii-kiberbezopasnosti-bankovskogo-sektora-06-25 📕Скинь мне почитать 📕https://securitydn.ru

19 Jun 2026, 06:27 UTC48 views1 reactionsread 11 August 2026
Forwarded from @aioftheday

Белый дом требует от Anthropic невозможного Wired узнал, что администрация Трампа готова разрешить Anthropic вернуть Fable 5, только если компания закроет возможность джейлбрейка модели. Речь о способах обойти защиту и получить доступ к запрещённым возможностям в кибербезопасности, химии и биологии. Anthropic считает риск преувеличенным и говорит, что эффект от обходов минимальный. Но в АНБ считают, что защиту Fabl

🍌1

16 Jun 2026, 14:33 UTC37 views3 reactionsread 11 August 2026

🔐 Банк России опубликовал Методические рекомендации по обеспечению безопасности систем искусственного интеллекта. Документ содержит практические подходы к защите технологий ИИ на всех этапах их жизненного цикла — от разработки до применения во внутренних процессах. Особое внимание уделено: • безопасности при использовании моделей и данных сторонних поставщиков; • управлению рисками и контролю цепочки поставок ИИ-ко

1🍌1👍1

16 Jun 2026, 13:40 UTC30 views3 reactionsread 11 August 2026
Forwarded from @centralbank_russia

🤖 Безопасное использование искусственного интеллекта в финансовой сфере Публикуем методические рекомендации, которые помогут финансовым организациям обеспечить информационную безопасность при использовании технологий искусственного интеллекта (ИИ). В документе систематизированы риски применения ИИ, описаны возможные тактики атак злоумышленников на системы ИИ и даны рекомендации по мерам защиты. Например, если финан

🔥3

1 Jun 2026, 11:55 UTC52 views4 reactionsread 11 August 2026

📚 На сайте IBM много полезных материалов по кибербезопасности: SIEM, SOAR, EDR, XDR, Threat Intelligence, Incident Response и другим направлениям. Подготовил краткий перевод статьи про Next Generation Anti-Virus (NGAV) — современный подход к защите конечных устройств с использованием поведенческого анализа и машинного обучения. Возможно, будет полезно тем, кто изучает современные средства защиты и архитектуру SOC. 📕

1👍1🔥1😈1

29 May 2026, 07:03 UTC46 views4 reactionsread 11 August 2026
Forwarded from @Russian_OSINTPhoto

🈁 Компания Anthropic анонсировала появление модели Claude Mythos для широкой публики 28 мая 2026 года компания Anthropic анонсировала масштабное обновление своей линейки продуктов. Разработчики представили версию Claude Opus 4.8 и подтвердили скорый публичный релиз ИИ-модели класса Mythos. Оба события напрямую затрагивают сферу информационной безопасности и автоматизации сложных технических процессов. Новая версия

1🍌1👍1🔥1

24 May 2026, 13:59 UTC42 views4 reactionsread 11 August 2026

Обзор свежего материала McKinsey о том, как искусственный интеллект меняет рынок кибербезопасности. В статье разбираются: • новые риски генеративного ИИ • ИИ-агенты как новая поверхность атак • утечки данных через корпоративные ИИ-системы • почему классическая ИБ перестает справляться • какие направления AI Security будут расти быстрее всего Отдельно интересно, как McKinsey описывают переход к «кибербезопасности, п

🍾2🔥1🙈1

Showing the 12 most recent of 20 posts we hold for @link4read. 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

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

“Скинь мне почитать” (@link4read), 33 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/link4read.

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.