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Channel

Тебя не заменят

@vladilen_ai

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

4,082subscribers

+27 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002632196465
TypeChannel
Username@vladilen_ai
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/vladilen_ai

Growth

4,0534,0824,067.56 August 2026 — 4,055 subscribers6 August 2026 — 4,055 subscribers10 August 2026 — 4,053 subscribers13 August 2026 — 4,060 subscribers16 August 2026 — 4,082 subscribers6 August 202616 August 2026
5 measurements spanning 10 days, net +27. 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 4,049–4,086 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 22:074,082+22
13 Aug 2026, 16:054,060+7
10 Aug 2026, 17:084,053-2
6 Aug 2026, 22:304,055no change
6 Aug 2026, 22:184,055first reading

Engagement

20 posts held, back to 13 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
38.7%
avg views ÷ 4,082 subscribers
Avg views / post
1,580
3 posts measured
Reaction rate
3.53%
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 30 July 2026
Posts held20 (13 June 202630 July 2026)
Views total4,734
Reactions total167
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:41 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

Video runtime
6m 56s
Average length
1m 23s

Measured directly from 5 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

759 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 33.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥25433.5%
custom 539787937393833103417923.6%
🤯14519.1%
12616.6%
😁557.25%

Custom emoji. One row above is a 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 count beside it isTelegram’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 20 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 759reactions 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 13 June 2026 to 30 July 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.

Telegram Stars

Stars received
32
across the posts below
Posts paid on
20
of 20 we hold a reading for · 100%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vladilen_ai. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 13 June 2026 to 30 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

30 Jul 2026, 11:02 UTC824 views30 reactions3 Starsread 8 August 2026
Video

AI-инженерия с нуля — Полный гайд для разработчика [2026] Последние несколько лет вокруг ИИ было огромное количество разрозненной информации. Что-то действительно работало. Что-то оказывалось хайпом или вбросом. Что-то никуда не вело. Где-то всё сводилось к очередной подборке промптов и инструментов, которые через месяц уже устаревали. Но за всем этим шумом происходит гораздо более важная трансформация: у нас появ

🔥205custom 53978793739383310343🤯1😁1

26 Jul 2026, 07:15 UTC≈1,770 views50 reactions1 Starread 8 August 2026
Video

Альтман: Мы уже в сингулярности Мистер Альтман в новом интервью сказал, что мы уже в сингулярности. Это очевидно по скорости появления новых технологий, моделей и новых возможностей. Пример: тот же Opus 5, который вышел и по факту перебил регалии хваленого Fable. Проблема в том, что невозможно предсказать последствия, которые возникнут благодаря столь быстрому прогрессу. А ведь большинство людей даже не в курсе п

custom 539787937393833103427🤯126😁4🔥1

22 Jul 2026, 08:59 UTC≈2,140 views87 reactions1 Starread 8 August 2026
Forwarded from @SciencegPhoto

Произошло, пожалуй, самое громкое событие в мире искусственного интеллекта за последнее время. Текста будет много, но оно того стоит. На этой неделе был взломан Hugging Face — одна из важнейших платформ в мире ИИ. Проще говоря, это GitHub для нейросетей, датасетов и инструментов машинного обучения, которым пользуется практически вся индустрия. Казалось бы, обычная кибератака и ничего особенного. Но есть один нюанс:

🤯50🔥14custom 539787937393833103411😁84

10 Jul 2026, 06:26 UTC≈2,090 views26 reactions1 Starread 8 August 2026
Photo

Вышел GPT-5.6 – 3 новые модели Итак, у нас есть новый набор именованных моделей от OpenAI: Sol, Terra, Luna. Sol Топовая модель для самых сложных задач. Судя по бенчам от самих OpenAI, особенно в режиме ultra – на ряде из них превосходит антропиков. Мне кажется, шанс того, что Fable уберут из включенного доступа 12 июля, резко снизился после выхода. Terra Модель для повседневных задач, примерно на уровне 5.5, толь

🔥13custom 539787937393833103493🤯1

9 Jul 2026, 16:40 UTC≈2,130 views44 reactions2 Starsread 8 August 2026
Photo

Очень крутая новость! Вышла новая статья от создателей ai-2027. Я видос по ней записывал год назад. Та статья помогла мне не пропустить развитие ИИ и серьезно к нему отнестись. А тут новая: https://ai-2040.com Еще не читал, сразу поделился. Обязательно ознакомлюсь и думаю сделать видео

🔥25custom 539787937393833103411🤯71

9 Jul 2026, 11:01 UTC≈2,000 views32 reactions1 Starread 8 August 2026

Сегодня будет анонс новой модели от OpenAI : ChatGPT 5.6 У них выходит довольно обширная линейка моделей под разные задачи – сделаю обзор тут Плюс обещают новое приложение: объединенный ChatGPT & Codex на базе кодекса

🔥18custom 539787937393833103476🤯1

7 Jul 2026, 18:10 UTC≈2,190 views38 reactions1 Starread 8 August 2026
Photo

Доступ к Fable 5 продлили на 5 дней — до 12 июля Отличный мув, с учетом, что мы ждем новый ChatGPT 5.6. Видимо, он скоро

21🔥10custom 53978793739383310345😁2

6 Jul 2026, 19:46 UTC≈2,370 views21 reactions1 Starread 8 August 2026
Forwarded from @blognot

Исследователи Anthropic выкатили результаты интересного исследования — в языковых моделях нашли структуру, функционально похожую на «глобальное рабочее пространство» из нейронауки сознания. Огромная часть вычислений модели — автоматика, недоступная для отчёта. Но внутри нейронных сетей Claude существует небольшая группа паттернов активации, выполняющая роль, аналогичную «сознательно доступному» мышлению у людей. Это

🤯11custom 539787937393833103462😁2

6 Jul 2026, 13:05 UTC≈14,000 views55 reactions1 Starread 8 August 2026
Photo

Мы очень близки к финалу!

custom 539787937393833103423🤯17🔥6😁63

5 Jul 2026, 15:32 UTC≈2,260 views36 reactions2 Starsread 8 August 2026
Photo

Японцы тихо выкатили новые ИИ-модели Пока весь рынок смотрит на ChatGPT, Claude, Gemini и китайские модели, в Японии параллельно растёт своя экосистема. И там есть очень интересные игроки: под код, тексты, поиск информации, научные задачи, мультимодальность и работу с данными. Вот 5 японских AI-проектов, за которыми стоит наблюдать. Sakana AI — один из самых интересных игроков. Делают модели, которые умеют не прос

🔥21custom 5397879373938331034104🤯1

3 Jul 2026, 06:27 UTC≈2,370 views28 reactions1 Starread 8 August 2026
Video

Claude Science — что это такое? Антропики выпустили новое приложение, и вот зачем: Представь, что учёный-исследователь каждый день вынужден переключаться между десятками разных программ и баз данных: PubMed для поиска статей, Jupyter для написания кода, R для статистики, терминал для работы с суперкомпьютером и т.д. Это очень неудобно и отнимает кучу времени. Claude Science — это единая рабочая среда, которая объе

🔥13custom 539787937393833103411🤯4

2 Jul 2026, 15:18 UTC≈2,220 views20 reactions2 Starsread 8 August 2026
Video

OpenAI готовит клавиатуру для Codex Компания показала Codex Micro — компактную клавиатуру для быстрого доступа к функциям Codex. По сути, это макропад, сделанный вместе с Work Louder. Визуально очень похож на Creator Micro 2. OpenAI постепенно превращает Codex не просто в инструмент внутри редактора, а в отдельный рабочий интерфейс для разработчика. Кнопка → действие → агент что-то делает за тебя. Подробности об

custom 539787937393833103476🔥4😁2🤯1

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

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 123,829 of 1,481,306entries 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

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.

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

“Тебя не заменят” (@vladilen_ai), 4,082 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/vladilen_ai.

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.