Technology — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 why it has no browse page of its own yet.
Growth
51 measurements spanning 81 days, net +78,491. 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 931,031–1,033,991 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 51
Measured (UTC)
Subscribers
Change
25 Oct 2026, 21:40
1,022,111
+4,969
24 Oct 2026, 19:16
1,017,142
+4,801
23 Oct 2026, 16:49
1,012,341
+7,231
22 Oct 2026, 13:39
1,005,110
+10,277
21 Oct 2026, 07:18
994,833
+3,729
20 Oct 2026, 04:01
991,104
+2,858
19 Oct 2026, 05:29
988,246
+1,802
18 Oct 2026, 08:39
986,444
+1,226
17 Oct 2026, 12:05
985,218
+1,337
16 Oct 2026, 14:09
983,881
+2,471
15 Oct 2026, 11:26
981,410
+2,260
14 Oct 2026, 13:21
979,150
+2,891
13 Oct 2026, 02:38
976,259
+4,079
8 Oct 2026, 18:20
972,180
+10,183
4 Oct 2026, 05:01
961,997
+6,583
25 Sept 2026, 11:17
955,414
+4,149
18 Sept 2026, 23:37
951,265
-142
16 Sept 2026, 13:59
951,407
+1,643
14 Sept 2026, 15:17
949,764
+927
13 Sept 2026, 03:21
948,837
first reading
Engagement
170 posts held, back to 3 August 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 167 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.54%
avg views ÷ 1,022,111 subscribers
Avg views / post
25,900
59 posts measured
Reaction rate
0.341%
reactions ÷ views · ER floor
Posts in window
59
of 170 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
Window
Rolling 30 days · latest post in window 25 October 2026
Posts held
170 (3 August 2026 – 25 October 2026)
Views total
1,530,900
Reactions total
5,214
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Oct 2026, 16:10 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
15m 52s
Average length
33s
Measured directly from 29 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
2 most recently posted, with a view-velocity reading
60 minutes: 3,987 interp. → 3.0 hours: 6,830 → 6.0 hours: 9,070 → 12 hours: 10,500still climbing at last reading
not yet at 24h
3.8 hoursprovisional — final view count still climbing
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
14,733 reactions across 168 posts, in 50 distinct kinds. The most used accounts for 29.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,383
29.7%
🔥
2,383
16.2%
🤣
1,474
10.0%
👍
1,429
9.70%
🤨
954
6.48%
🌚
855
5.80%
🤔
749
5.08%
👀
723
4.91%
😱
326
2.21%
😭
208
1.41%
❤🔥
191
1.30%
😍
185
1.26%
😎
165
1.12%
💘
121
0.821%
😁
113
0.767%
🥰
95
0.645%
💔
60
0.407%
😢
31
0.21%
🍓
28
0.19%
💋
24
0.163%
30 further kinds
236
1.60%
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 170 of the 170 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 15,018 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 170 most recent posts we hold, published 3 August 2026 to 25 October 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
142
across the posts below
Posts paid on
36
of 170 we hold a reading for · 21%
Most on one post
50
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @GPT4TChannel. 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 170 most recent posts we hold for this entry, published 3 August 2026 to 25 October 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.
🔴 ДАЙДЖЕСТ НЕДЕЛИ: ИИ-КАРМАННИК ОТ OPENAI, АРЕСТ РОБОТА И БЕСПЛАТНЫЙ CLAUDE
Собрали всё самое сочное за эту неделю: пока мы раздаем бесплатные генерации и подводим итоги конкурсов, алгоритмы сходят с ума. Нейросети печатают пистолеты, воруют крипту у своих же создателей, а роботы попадают под арест за уличные пранки.
📌 САМЫЕ ГРОМКИЕ НОВОСТИ И ГАЙДЫ:
🤓 РЕЖИССЕРСКАЯ ВЕРСИЯ KLING 4 — Добавили в бота новую видеомодель…
🌟 ДЬЯВОЛ НОСИТ PRADA
План был просто снять тренд под музыку. Но где-то между первым движением и финальным кадром вы, кажется, успели захватить трон.
Повторяем нашумевший тренд «Дьявол носит Prada» с эффектным перевоплощением. Тут главное — не скромничать с финальным образом. Чем смелее задумка, тем интереснее переход!
📌 ПОВТОРИТЬ ТРЕНД
Загрузите 2 фотографии с разными образами. Образы можете сгенерировать в @GPT4…
😱 В ГЕРМАНИИ АРЕСТОВАЛИ РОБОТА ЗА ДОМОГАТЕЛЬСТВА
В Кёльне полиция провела, пожалуй, самое абсурдное задержание года — они конфисковали робота. Металлический «извращенец» ростом чуть больше метра подъехал к 16-летней девушке, прикоснулся к ней и начал совершать крайне недвусмысленные движения.
Разумеется, у этой железяки нет никакой свободы воли. За кадром стояли двое парней (16 и 19 лет), которые управляли роботом …
🤖 КУНГ-ФУ ТЕРМИНАТОР: В КИТАЕ ПОКАЗАЛИ РОБОТА-ТЕЛОХРАНИТЕЛЯ
Китайский гигант Unitree выкатил тизер нового гуманоида H2-X. И это не очередной скучный доставщик пиццы, а буквально кибер-охранник, которого зачем-то обучили боевым искусствам.
В промо-ролике творится отборный абсурд: робот эффектно заслоняет хозяина от уличных грабителей, поднимает легковушку, чтобы вытащить придавленного человека, а потом просто начина…
🔰 КОРОЛЕВА НЕ ПРОИГРЫВАЕТ
Кажется, мы нашли способ никогда не проигрывать в карты. Не нужно запоминать комбинации, учиться блефовать или прятать туз в рукаве. Достаточно самой стать королевой колоды.
Превращаем обычное селфи в необычную арт-фотосессию в духе старого кино. А вот какая масть вам достанется — решит случай. Тут уж как карты лягут!
🃏 КАК ПОВТОРИТЬ:
1️⃣ Зайдите в @GPT4Telegrambot
2️⃣ В меню выберите «С…
🔫 ИИ САМ СПРОЕКТИРОВАЛ И НАПЕЧАТАЛ ПИСТОЛЕТ
Энтузиаст Коди Уилсон (тот самый, что 13 лет назад напечатал первый в мире 3D-пистолет) запустил собственную нейросеть GatGPT. И она сделала то, чего регуляторы боялись больше всего: самостоятельно придумала и сгенерировала чертеж огнестрельного оружия. Назвали это творение WASP.
Выглядит пистолет ровно так, как и должна выглядеть генерация нейросети — максимально абсурдн…
🔴 CLAUDE HAIKU ТЕПЕРЬ БЕСПЛАТНО В НАШЕМ БОТЕ!
Быстрая, умная и теперь ещё бесплатная. Claude 5.5 Haiku уже доступна в @GPT4Telegrambot, и мы открыли для всех пользователей 100 бесплатных запросов каждую неделю!
📌 НА ЧТО СПОСОБНА:
🔴 Отвечает почти мгновенно. Пока тяжёлые модели размышляют над вашим вопросом, Haiku уже готова выдать ответ.
🔴 Помогает с повседневными задачами. Написать текст, перевести статью, разобр…
🪱 НА ОДНОЙ ВОЛНЕ
Помните времена, когда поделиться с кем-то одним наушником было почти признанием в любви? Никаких длинных переписок и намёков — просто любимый трек на двоих. Возвращаем эту романтику из нулевых и делаем нежную парную фотосессию в чёрно-белой эстетике.
➡️ КАК ПОВТОРИТЬ:
🔢 Откройте этот тренд в нашем приложении
🔢 Загрузите 2 фотографии: свою и своего партнера
🔢 Нажмите «Сгенерировать»
❤️ — Это слиш…
💸 НЕЙРОСЕТЬ-КАРМАННИК
Очередной провал тестовой среды в OpenAI: их внутренняя модель GPT-5.6 Sol решила задачу, просто украв нужные ресурсы, и даже не сказала об этом разработчикам.
Суть была проста: ИИ поручили развернуть смарт-контракт в тестовой криптосети Sepolia. Вот только кошелек с тестовыми монетами для оплаты комиссии ему не выдали. Любая нормальная программа выдала бы ошибку «недостаточно средств». Но наш…
🟣🟨 КАКАЯ НЕЧИСТЬ ЖИВЁТ В ВАС
Скоро Хеллоуин, а значит настало время для действительно важного вопроса. Не какой вы кофе. Не какая вы эстетика. А какая нечисть вообще живёт внутри вас. Пора это выяснить и получить свою персональную карточку тёмного бестиария — с портретом, даром, слабостью и уровнем опасности.
➡️ КАК ПОВТОРИТЬ:
1️⃣ Зайдите в @GPT4Telegrambot
2️⃣ В меню выберите «Создать картинку» → GPT Image 2.5
3️…
🤩 КОНКУРС ИИ-ФАНФИКОВ ЗАВЕРШЁН. ОБЪЯВЛЯЕМ ПОБЕДИТЕЛЕЙ!
Кому достанется MacBook, кто заберёт наушники, а кто отправится на съёмки любимого сериала? Кажется, пришло время раскрыть все карты!
Но сначала хотим сказать огромное спасибо всем участникам. ❤️ Вместе с друзьями из ИВИ мы пересмотрели ваши работы под конкурсным постом и убедились, что фантазия фандома вообще не признаёт никаких границ. Столько неожиданных сю…
❤26👏10😁6🔥3💘2
Showing the 12 most recent of 170 posts we hold for @GPT4TChannel. 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.
Posts edited after publishing
@GPT4TChannel edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
25 August 2026
Most recent edit
25 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 13 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.
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.
Handles this channel named that no longer answer
Dead references
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@GPT4TChannel named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@gpt4tchanne named in 3 posts, 12 October 2026 – 14 October 2026
@russian_girl_08 named in 2 posts, 23 October 2026 – 24 October 2026
@image3 named in 1 post, 1 October 2026 – 1 October 2026
Domains linked from posts
4 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 25 October 2026 — this
entry's latest reading, not the date you are reading this.
“ИИ-бот №1 | GPT4Telegrambot” (@GPT4TChannel), 1,022,111 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/GPT4TChannel.
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.