Собянинская пресса сообщает, что пока роботы не могут заменить живых моделей. А мы пошли другим путём, у нас агенты - ИИ создаются на основе реальных моделей, с их согласия. Также можно создавать и их роботодвойников.

Channel
CyberModels - интерактивное модельное агентство
@cybermodels
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
70subscribers
+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 | -1002101008605 |
|---|---|
| Type | Channel |
| Username | @cybermodels |
| Description | Помогаем с подбором моделей для мероприятий, выставок, конкурсов. Наши модели красивые и умные, часто участвуют в мероприятиях по инновациям. 18+ |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/cybermodels |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 23:47 | 70 | no change |
| 7 Aug 2026, 15:30 | 70 | first reading |
Engagement
7 posts held, back to 5 February 2026 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 17 March 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 184
- Videos
- 159
- Links
- 73
Lifetime counters from Telegram’s own channel header, read 9 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
- 2m 14s
- Average length
- 45s
Measured directly from 3 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
6 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 6 | 100.0% |
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 2 of the 7 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 5 February 2026 to 17 March 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
Прошел конкурс "Мисс Нейроагент" на семинаре, посвященном ии-агентам. Победительницей стала Екатерина Демидкина. В этом посте отрывок ее творческого конкурса. На всех девушек будет сделан ии-агент-бот. Сейчас уже проходит тест с блогершой Kate Bruni, которая заняла второе место. PS: Для приобретения записи конкурса и лекций обращайтесь к организатору в личку @petrkrivokhizhin
🔥3
В России с помощью алгоритмов и почти двух тысяч мужских оценок создали портрет самой привлекательной женщины Получился образ 27–29-летней стройной девушки с естественной внешностью. 83% опрошенных признались, что она им очень нравится, а 19% заявили, что могли бы уйти к такой от нынешней партнёрши. Мужики, что скажите? 👉Блокнот в МAХ 👨🏻🔧 Объявления работа 🚘 Купи/продай авто
Вчера на занятии Вайбмоделинга сделали вот такие трехмерные модели (в том числе в тему валентинок) для игр, заставок, разработки стартапа и ИИ-агента. Курс Вайбмоделинг3D первый поток успешно закончен. Но, можно записаться на следующий, который планируется с начала марта. Кто запишется сейчас по старой цене в 5000р, тот сможет получить записи этого потока и участвовать в новом. Также приглашаем на семинар на выход…
🔥3
🤖 Китайцы показали рободевушку с температурой тела как у человека. У нее приятная на ощупь силиконовая кожа, реалистичные пропорции и движения — и многих это даже пугает. Гуманоида Moya планируют использовать в качестве консультанта, домработницы или «компаньона», а продажи обещают запустить уже к концу года за ¥1.2 млн (₽13.1 млн) Мир всё ближе к демографической катастрофе 🤨 Крамола | Подпишись
Сообщают: Страшный скандал в Threads: нейрокреатор и автор курса по нейросетям создала лукбук с помощью ИИ. Её изображения тут же использовала другая девушка-нейрокреатор, просто заменив внешность ИИ-модели. Первую креативщицу это привело в ярость, а кража ИИ-картинок вызвала дискуссию: можно ли вообще считать это кражей, если нейросети сами обучаются и компилируют картинки из чужих изображений. Но ответа на этот во…
Кто реально мог быть красивой экзотикой и моделью из Индии. Но нет. Выбирают что на втором фото, примерно такое.
Showing the 7 most recent of 7 posts we hold for @cybermodels. 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
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
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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“CyberModels - интерактивное модельное агентство” (@cybermodels), 70 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/cybermodels.
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.