Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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
33 measurements spanning 42 days, net -12,872. 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 27,210–43,944 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 08:57
29,141
-27
16 Sept 2026, 05:58
29,168
-25
14 Sept 2026, 11:38
29,193
-98
12 Sept 2026, 18:17
29,291
-45
10 Sept 2026, 16:37
29,336
-56
7 Sept 2026, 15:57
29,392
-45
4 Sept 2026, 16:41
29,437
-24
2 Sept 2026, 23:54
29,461
-89
1 Sept 2026, 18:08
29,550
-1,229
31 Aug 2026, 17:08
30,779
-35
30 Aug 2026, 14:04
30,814
-20
29 Aug 2026, 15:04
30,834
-9
28 Aug 2026, 15:17
30,843
-25
27 Aug 2026, 18:17
30,868
-31
26 Aug 2026, 18:17
30,899
-32
25 Aug 2026, 16:57
30,931
-27
24 Aug 2026, 16:56
30,958
-2,725
23 Aug 2026, 04:03
33,683
-239
21 Aug 2026, 14:37
33,922
-92
20 Aug 2026, 11:05
34,014
first reading
Engagement
27 posts held, back to 1 June 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.25%
avg views ÷ 29,141 subscribers
Avg views / post
364
4 posts measured
Reaction rate
2.47%
reactions ÷ views · ER floor
Posts in window
4
of 27 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 15 September 2026
Posts held
27 (1 June 2026 – 15 September 2026)
Views total
1,457
Reactions total
36
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 23:02 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
178
Videos
176
Links
212
Lifetime counters from Telegram’s own channel header, read 23 September 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
9m 31s
Average length
1m 11s
Measured directly from 8 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
301 reactions across 27 posts, in 31 distinct kinds. The most used accounts for 14.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
44
14.6%
👍
36
12.0%
👀
28
9.30%
🔥
25
8.31%
👾
18
5.98%
👏
16
5.32%
🌚
14
4.65%
😨
11
3.65%
🤔
11
3.65%
🤯
11
3.65%
😁
9
2.99%
🤗
9
2.99%
❤🔥
8
2.66%
🐳
6
1.99%
🗿
6
1.99%
🤩
6
1.99%
🥴
6
1.99%
🫡
6
1.99%
⚡
5
1.66%
🎉
4
1.33%
11 further kinds
22
7.31%
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 27 of the 27 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 301 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 1 June 2026 to 15 September 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
5
across the posts below
Posts paid on
4
of 27 we hold a reading for · 15%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aitapki. 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 27 most recent posts we hold for this entry, published 1 June 2026 to 15 September 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.
🧑⚖️ ИИ суд в РФ
Только недавно недосмотрел фильм об этом, "Милосердие", не зашёл, а теперь узнаю, что в стране тестируются четыре модели ИИ, которые обучаются на основе правовых позиций и судебных решений.
Цель внедрения - обеспечить единообразие практики, устранить логические противоречия, снизить количество судебных ошибок и повысить предсказуемость правосудия.
Некоторые функции судебной ИИ:
🔵Проверка документо…
⚡️ ИИ на новом уровне 🤩
Слышали наверно уже об 𝐆𝐏𝐓-𝟔 𝐀𝐬𝐭𝐫𝐚, нейронка скидывает мир в новые возможности по реализации проектов не имея на этом опыта, времени обучения и так далее) Становится возможным уже многое, 3D разработка выглядит доступной, как и видеомонтаж фильмов/клипов. Но, как я всегда говорил, не используйте ИИ как готовый голый конечный продукт, это лишь инструмент, как и всё идейно остальное в нашей жиз…
🤩 Осень накатила
Как медленно вертится шар и как быстро мы на нём летим)
📚 Всех чилдранов и тичеров поздравляем с началом учебного года!) Особенно первоклашек, для них только начинается этот тернистый путь к знаниям. 🧑🎓
🕓 Всем остальным пристегнуться, время летит быстро, как и меняется мир, а мы уже не замечаем этого, оказавшись тут.
Будем рассчитывать, что самое приятно-увлекательное ещё впереди..)
Ai любовь 🩷
Глянул на днях этот любовный технотриллер Soulm8te, тема заезженная, но вписывается в ИИ тематику паблика и почему то меня увлекают просмотром подобные картины, правда я бы не сказал вау. Спойлерить не буду, там всё от банального просто. Подумываю и дальше публиковать тут фильмы в этой манере.
🤩
Кто то бы согласился жить с подобным роботом..?)
✅ В Telegram появились WEB прокси
В новой версии клиент открывает встроенный мини браузер и устанавливает HTTPS/WebSocket соединение с доменом. Весь MTProxy трафик при этом передаётся через замаскированный веб канал.
Для провайдера такое соединение выглядит как обычный трафик сайта, поэтому определить, что внутри работает телега, становится сложнее.
Пока только на десктопе..
🧬 Олимпийские игры роботов 🤩
Уже вторые Олимпик геймс пройдут с 22 по 26 августа в Пекине.
За медали будут бороться 2056 роботов из 16 стран. Это в четыре раза больше участников, чем год назад.
Число дисциплин выросло с 26 до полусотни. Впервые добавили настольный теннис, тяжёлую атлетику и полосу препятствий.
Что нас ждёт через 10 лет в этом направление..?)
🌌 Космические сутки
В ближайшее время мы увидим 3 ярких небесных события:
🚀 Солнечное затмение
🪐 Планетарный парад
⭐️ Пик метеорного потока Персеид
Начнётся всё вечером с солнечного затмения. Лучше всего его будет видно в СПБ - там оно уже стартовало в 20:00 по местному времени, а максимальная фаза наступит в 20:51- Луна закроет почти 80% Солнца. На всю движуху есть возможность посмотреть у NASA тут - c 20:15 по М…
📚 Книжная скотобойня 🔥
Anthropic скупает миллионы книг на вторичке, чтобы порезать их на отдельные страницы, сканировать для обучения нейронки и сжечь.
Разработчики искали новые знания, после того как оригинальных текстов из инета стало недостаточно. В итоге, они скачали 7 миллионов пиратских книг, что привело к судебным искам на 1,5 миллиарда баксов.
После этого был найден обходной путь: закупать подержанные печ…
🧠 Мозг против компьютера 💻
Наш жёсткий диск - кора головного мозга, а оперативка - гиппокамп.
Ёмкость одного человеческого мозга, ~2 500 000 гигабайт, можно смотреть ~200 лет фильмы нон стоп.
Плюсы ПК, на компе можно делать резервное копирование, если жесткий сломался.
Плюсы мозга. Мозг может прогнозировать будущее, опираясь на опыт человека, а железке и в том числе Ai нужны базы данных для этого, по которым можно…
Showing the 12 most recent of 27 posts we hold for @aitapki. 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
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 2 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Ai Tapki” (@aitapki), 29,141 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/aitapki.
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.