Telegram RegisterThe public register of Telegram
Telegram profile photo for AI меняет культуру | Trabun

Channel

AI меняет культуру | Trabun

@danieltrbn

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

13,759subscribers

+616 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001581016909
TypeChannel
Username@danieltrbn
DescriptionРеклама и сотрудничество: @coldmay Тренды в культуре и технологиях; AI, фильмы, сериалы, книги, музыка. Наблюдения за реальностью. Автор: @dtrbn #AII9O Номер заявления: 7726253803
Created26 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/danieltrbn

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 82% 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

13,05413,75913,406.55 August 2026 — 13,143 subscribers6 August 2026 — 13,143 subscribers6 August 2026 — 13,142 subscribers7 August 2026 — 13,118 subscribers8 August 2026 — 13,127 subscribers8 August 2026 — 13,126 subscribers9 August 2026 — 13,129 subscribers10 August 2026 — 13,111 subscribers11 August 2026 — 13,109 subscribers12 August 2026 — 13,104 subscribers14 August 2026 — 13,103 subscribers15 August 2026 — 13,104 subscribers17 August 2026 — 13,100 subscribers20 August 2026 — 13,088 subscribers22 August 2026 — 13,090 subscribers24 August 2026 — 13,078 subscribers25 August 2026 — 13,063 subscribers26 August 2026 — 13,060 subscribers27 August 2026 — 13,059 subscribers28 August 2026 — 13,055 subscribers29 August 2026 — 13,058 subscribers31 August 2026 — 13,054 subscribers1 September 2026 — 13,055 subscribers2 September 2026 — 13,088 subscribers3 September 2026 — 13,102 subscribers5 September 2026 — 13,112 subscribers9 September 2026 — 13,127 subscribers11 September 2026 — 13,126 subscribers13 September 2026 — 13,118 subscribers15 September 2026 — 13,117 subscribers17 September 2026 — 13,140 subscribers19 September 2026 — 13,170 subscribers26 September 2026 — 13,210 subscribers4 October 2026 — 13,332 subscribers9 October 2026 — 13,474 subscribers13 October 2026 — 13,486 subscribers15 October 2026 — 13,494 subscribers16 October 2026 — 13,506 subscribers17 October 2026 — 13,502 subscribers18 October 2026 — 13,500 subscribers20 October 2026 — 13,503 subscribers22 October 2026 — 13,509 subscribers23 October 2026 — 13,508 subscribers24 October 2026 — 13,510 subscribers24 October 2026 — 13,523 subscribers26 October 2026 — 13,585 subscribers26 October 2026 — 13,615 subscribers27 October 2026 — 13,626 subscribers28 October 2026 — 13,647 subscribers29 October 2026 — 13,675 subscribers30 October 2026 — 13,687 subscribers31 October 2026 — 13,709 subscribers1 November 2026 — 13,714 subscribers2 November 2026 — 13,709 subscribers3 November 2026 — 13,718 subscribers4 November 2026 — 13,749 subscribers5 November 2026 — 13,742 subscribers6 November 2026 — 13,759 subscribers5 August 20266 November 2026
58 measurements spanning 93 days, net +616. 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 12,948–13,865 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
6 Nov 2026, 23:3713,759+17
5 Nov 2026, 23:5913,742-7
4 Nov 2026, 21:3013,749+31
3 Nov 2026, 17:3513,718+9
2 Nov 2026, 20:1013,709-5
1 Nov 2026, 20:5513,714+5
31 Oct 2026, 20:4713,709+22
30 Oct 2026, 18:2113,687+12
29 Oct 2026, 20:4013,675+28
28 Oct 2026, 21:5713,647+21
27 Oct 2026, 22:4913,626+11
26 Oct 2026, 23:1913,615+30
26 Oct 2026, 00:1813,585+62
24 Oct 2026, 23:4813,523+13
24 Oct 2026, 02:5013,510+2
23 Oct 2026, 02:1913,508-1
22 Oct 2026, 01:3813,509+6
20 Oct 2026, 17:2713,503+3
18 Oct 2026, 15:3913,500-2
17 Oct 2026, 14:4213,502first reading

Engagement

43 posts held, back to 7 July 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 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.1%
avg views ÷ 13,759 subscribers
Avg views / post
1,670
20 posts measured
Reaction rate
2.01%
reactions ÷ views · ER floor
Posts in window
20
of 43 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 November 2026
Posts held43 (7 July 2026 – 7 November 2026)
Views total33,416
Reactions total671
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 18:28 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
≈1,970
Videos
≈788
Links
≈861

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
22m 09s
Average length
1m 42s

Measured directly from 13 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

1,742 reactions across 43 posts, in 8 distinct kinds. The most used accounts for 41.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤72441.6%
😁43224.8%
🔥24013.8%
😱1267.23%
👏905.17%
😢814.65%
🤔341.95%
custom 5366112503031962495150.861%

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 is Telegram’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 43 of the 43 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 1,742 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 7 July 2026 to 7 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.

Telegram Stars

Stars received
13
across the posts below
Posts paid on
3
of 43 we hold a reading for · 7%
Most on one post
11
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @danieltrbn. 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 43 most recent posts we hold for this entry, published 7 July 2026 to 7 November 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

Telegram’s own ‘edited’ marker: 7 of 20 posts held from the last 30 days (35.0%) 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).

7 Nov 2026, 12:08 UTC639 views11 reactionsread 7 November 2026
Photo

Появился словарь слов, которых ещё нет, но они скоро понадобятся. 10 ноября выходит книга «Future Words: A Non-Obvious Glossary of Terms That Don't Exist (But Soon Will)». Её написали Рохит Бхаргава, автор ежегодных трендбуков «Non-Obvious», и Генри Коутиньо-Мейсон. Внутри 100 придуманных слов для того, что с нами уже происходит, но пока не имеет имени. Выписал любимые: — fauxstalgia, «фейкосталгия» — тоска по вос…

❤10😁1

7 Nov 2026, 12:03 UTC650 views10 reactionsread 7 November 2026
Photo

Anthropic научила Claude видеть сны. И забывать лишнее. В инженерном блоге Anthropic вышел пост про память агентов, то есть ИИ, которые сами выполняют длинные задачи. Начинается он со сравнений с человеческим мозгом. Пока мы спим или просто отдыхаем, гиппокамп заново проигрывает то, что с нами случилось за день, и часть этого переезжает в долговременную память. С Claude теперь делают то же самое и называют это «dre…

❤10

7 Nov 2026, 09:57 UTC977 views14 reactionsread 7 November 2026
Video

Хоакин Феникс в рекламе умных очков Gentle Monster, которую срежиссировал Джонатан Глейзер. Это вообще как? Gentle Monster — корейский бренд очков, известный магазинами, похожими на арт-инсталляции, — выпускает первую коллекцию очков с ИИ. Делает её вместе с Google и Samsung, внутри будет Gemini — ИИ-помощник Google, с которым говорят голосом. Google так верит в эту затею, что в прошлом году купил 4% бренда примерно…

❤14

7 Nov 2026, 08:00 UTC≈1,170 views26 reactionsread 7 November 2026
Video

У Нэйтана Филдера появился младший брат, который тоже ломает реальность. Вы наверняка знаете Филдера (документалку ждем очень), а еще может быть слышали про The Yes Men — дуэт активистов, которые с 90-х выдают себя за представителей корпораций. В 2004-м один из них в эфире BBC от имени химического гиганта Dow Chemical пообещал компенсации жертвам Бхопала, катастрофы на химзаводе в Индии, и акции Dow за 23 минуты упа…

❤13🔥10😱2😢1

6 Nov 2026, 12:20 UTC≈1,890 views21 reactionsread 7 November 2026
Video

Клава Кока запустила шоу про ИИ-музыку. Вчера у певицы Клавы Коки в VK вышел первый выпуск «ХИИТ ШОУ». Механика такая: на сцену по очереди выходят три исполнительницы и поют под фонограмму. За каждой песней может стоять человек, нейросеть или они вместе, и голос на фонограмме тоже может быть сгенерирован, а девушка на сцене просто открывает рот. Жюри гадает и пропускает дальше одну. Двое выбывших рассказывают, как …

😁15❤6

6 Nov 2026, 04:39 UTC≈1,760 views73 reactionsread 7 November 2026
Photo

OpenAI и Anthropic примерно каждый день.

😁59❤12👏2

5 Nov 2026, 16:04 UTC≈1,650 views7 reactionsread 7 November 2026
Voice message

Voice message, posted without a caption

❤3👏2🔥2

5 Nov 2026, 16:04 UTC≈1,690 views10 reactionsread 7 November 2026
Photo

23 ноября мы запускаем новый поток курса по ИИ, который назвали «AI-Пересборка». Последние полгода я ощущаю ИИ не как ассистента и чат-бота, а как собственную автономную операционную систему и конструктор, из которого можно собрать все, что угодно. И вот эту систему мы будем создавать. Что делегировать, а что оставить себе? Как все настроить? Как найти себя в мире, где все хотят всех заменить ИИ? Курс у нас делится…

❤4👏3🔥3

4 Nov 2026, 16:48 UTC≈1,820 views37 reactionsread 7 November 2026
Photo

Пять вопросов, чтобы не сдать своё мышление нейросети. Адди Османи делает в Anthropic Claude Code. В X он написал, как не разучиться думать, когда работу делает ИИ. Османи описывает три ступени: 1. Делегирование. Работу делает ИИ, но вы проверяете результат и отвечаете за него. 2. Вера на слово. Ответ нейросети вы ещё читаете, но уже не сомневаетесь в нём. 3. Капитуляция. Ответ ИИ становится вашим мнением, вы ег…

❤34🔥2👏1

4 Nov 2026, 15:32 UTC≈1,730 views31 reactionsread 7 November 2026
Photo

На какое мать посадишь?

😁26🤔3❤2

3 Nov 2026, 17:31 UTC≈2,090 views41 reactionsread 7 November 2026
Photo

ИИ вытащил из ста фантастических романов 6 222 идеи стартапов с оценками. Вышла Startup Archaeology, «археология стартапов» — сайт с архивом идей. Нейросеть прочитала сто фантастических книг 1818–1965 годов и выписала из них все выдуманные изобретения, 6 222 штуки. Каждое перевели в современную идею для бизнеса: кто первый клиент, каким будет первый продукт, в чём риски. И оценили по десятибалльной шкале, насколько …

❤32🔥8😢1

3 Nov 2026, 16:29 UTC≈1,960 views50 reactionsread 7 November 2026
Video

На скучный созвон можно отправить вместо себя исландскую вязальщицу, а не этот ваш ИИ. Бюро туризма Исландии запустило рекламную кампанию AI Knittakers. Название — игра слов: knit — «вязать», note-taker — тот, кто ведёт протокол встречи. А AI тут расшифровывается как Authentic Icelandic, «настоящие исландцы». Вместо ИИ-ассистента, который слушает созвон и присылает саммари, к онлайн-встрече подключается живой челове…

❤34🔥9👏6🤔1

Showing the 12 most recent of 43 posts we hold for @danieltrbn. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @danieltrbn as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
23 August 2026
Most recent seen missing
23 August 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
0

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

Named by 17 registered channels — 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.

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.

DECODERS
@d3c0d3rzzz · 20,863
Telegram ranks this channel #4 of 85 here — alongside 84 others — read 25 September 2026
ХОРОШИЕ НОВОСТИ
@goodnews_goodtimes · 45,857
Telegram ranks this channel #27 of 86 here — alongside 85 others — read 27 August 2026
ШишКИНО
@shishkino · 41,898
Telegram ranks this channel #40 of 97 here — alongside 96 others — read 29 August 2026
Осовцов говорит
@osovtsovgovorit · 80,480
Telegram ranks this channel #42 of 72 here — alongside 71 others — read 21 September 2026
psycho daily
@psychodaily · 18,946
Telegram ranks this channel #53 of 88 here — alongside 87 others — read 5 October 2026
НА ШУМЕ
@nashume · 20,105
Telegram ranks this channel #55 of 82 here — alongside 81 others — read 27 September 2026
Vika Chuma
@chumavecherinka · 19,405
Telegram ranks this channel #59 of 84 here — alongside 83 others — read 4 October 2026
Павел Недостоев / дилер впечатлений
@pavelnedostoev · 30,283
Telegram ranks this channel #70 of 96 here — alongside 95 others — read 7 September 2026
kuji
@kujikuji · 49,827
Telegram ranks this channel #78 of 83 here — alongside 82 others — read 8 September 2026

This channel appears in 9 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“AI меняет культуру | Trabun” (@danieltrbn), 13,759 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/danieltrbn.

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.