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 the other topics.
Growth
62 measurements spanning 93 days, net -3,989. 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 173,820–179,005 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
7 Nov 2026, 04:19
174,418
-70
6 Nov 2026, 05:55
174,488
-14
5 Nov 2026, 05:56
174,502
-12
4 Nov 2026, 06:44
174,514
+5
3 Nov 2026, 07:36
174,509
-26
2 Nov 2026, 09:48
174,535
-52
1 Nov 2026, 07:31
174,587
-38
31 Oct 2026, 10:10
174,625
-46
30 Oct 2026, 11:16
174,671
-78
29 Oct 2026, 10:50
174,749
-59
28 Oct 2026, 08:46
174,808
-96
27 Oct 2026, 09:45
174,904
-41
26 Oct 2026, 08:18
174,945
-50
25 Oct 2026, 09:16
174,995
-85
24 Oct 2026, 06:47
175,080
-79
23 Oct 2026, 03:10
175,159
+10
22 Oct 2026, 06:35
175,149
-73
21 Oct 2026, 00:15
175,222
-15
19 Oct 2026, 20:59
175,237
-50
18 Oct 2026, 17:31
175,287
first reading
Engagement
578 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 189 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.20%
avg views ÷ 174,418 subscribers
Avg views / post
10,800
180 posts measured
Reaction rate
0.453%
reactions ÷ views · ER floor
Posts in window
180
of 578 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 7 November 2026
Posts held
578 (3 August 2026 – 7 November 2026)
Views total
1,946,030
Reactions total
8,824
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 14:37 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
≈10,500
Videos
≈9,610
Links
≈6,470
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
6h 43m
Average length
1m 01s
Measured directly from 395 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
24,974 reactions across 569 posts, in 7 distinct kinds. The most used accounts for 38.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
9,542
38.2%
🔥
4,676
18.7%
👍
3,991
16.0%
❤
2,641
10.6%
🌚
2,405
9.63%
🤯
1,236
4.95%
👾
483
1.93%
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 578 of the 578 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 25,300 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 578 most recent posts we hold, published 3 August 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
33
across the posts below
Posts paid on
23
of 578 we hold a reading for · 4%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aiaiai. 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 578 most recent posts we hold for this entry, published 3 August 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.
Advertising
Ad load
0.346%
2 of 578 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
8,990
over 2 measured posts
Median views · rest
10,900
over 576 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VfnxwuNuF2
1
30 September 2026
30 September 2026
2VtzqwH3BG8
1
22 September 2026
22 September 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 578 most recent posts we hold, published 3 August 2026 to 7 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 5 of 180 posts held from the last 30 days (2.78%) 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).
👀 ИИ-ОНЛИФАНЩИЦЫ захватывают Instagram и TikTok.
Нейронки научились создавать настолько реалистичных моделей, что пользователи принимают их за настоящих.
Создатели генерируют ИИ-красотку, раскручивают её через рилсы и TikTok, набирают аудиторию, а затем ведут подписчиков на OnlyFans и другие платные платформы.
Некоторые такие аккаунты уже собирают миллионные охваты.
@aiaiai
🎤 Google Meet научился переводить речь на 63 языка в реальном времени.
Теперь можно говорить на русском, а собеседник будет слышать перевод на английский, японский или другой язык. И наоборот.
Gemini сама определяет язык говорящего, переводит речь похожим голосом и синхронизирует субтитры. Работает в браузере, на Android и iOS. Пока только по платной подписке.
• Источник
@aiaiai
🍿 Claude Code научили клепать целые фильмы по промпту.
На GitHub выложили бесплатный скилл Cinecode, который генерит видео с помощью кода на JavaScript.
Что умеет:
• Сам пишет сценарий и разбивает его на сцены.
• Создаёт 2D- и 3D-анимации с движением камеры.
• Добавляет музыку, звуковые эффекты и озвучку.
• Монтирует ролики, в том числе длиннее 10 минут.
Готовый результат сохраняется в MP4. Можно делать короткомет…
😮Вайбкодер с помощью Claude воссоздал Римский форум 210 года.
Получился целый пиксельный муравейник с 300 римлянами, которые заняты своими делами. Сенат голосует, в Юлиевой базилике идёт суд, а в храме Кастора кому-то даже лечат зубы.
По форуму можно бродить прямо в браузере, заглядывать в 11 зданий и читать исторические справки.
• Попробовать
@aiaiai
✴️ Google прокачали генератор видео Gemini Omni 1.2 Flash.
Что добавили:
• Теперь генерит ролики до 15 секунд вместо 10.
• Позволяет менять фон, погоду и объекты обычными промптами.
• Лучше сохраняет персонажей и детали между кадрами.
• Делает более плавные движения камеры без случайных склеек.
• Точнее синхронизирует речь с движением губ персонажей.
Заодно генерацию удешевили на 30%. Потестить можно через Google A…
✴️ OpenAI выпустили Images 2.6 — обновлённый генератор картинок с новыми фишками.
Что добавили:
• Можно создавать GIF-анимации по описанию или оживлять готовые рисунки.
• Генерация изображений стала на 50% быстрее.
• Нейронка точнее редактирует картинки, сохраняя лица, одежду и мелкие детали.
• Появилась возможность сохранять референсы, чтобы не загружать их каждый раз.
Уже раскатывают для всех пользователей ChatGP…
👍18🔥9❤5😁1
Showing the 12 most recent of 578 posts we hold for @aiaiai. 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
@aiaiai 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 October 2026
Most recent edit
25 October 2026
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 30 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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
1
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
1
vacant every time we have ever looked
@aiaiai named 1 handle 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.
@sketch named in 2 posts, 10 September 2026 – 11 September 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 12 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
TurboText AI. Нейросети @turbotext_ai · 44,549 Telegram ranks this channel #1 of 80 here — alongside 79 others — read 27 August 2026
Colibri | ИИ боты @Colibri_bots · 134,537 Telegram ranks this channel #2 of 48 here — alongside 47 others — read 22 August 2026
Дипфейкер: нейросети, IT, технологии @deep_fake_bot_news · 22,506 Telegram ranks this channel #3 of 40 here — alongside 39 others — read 19 September 2026
Midjourney / Нейросеть / Нейронка № 7053203535 @midjourneyneiroseti · 23,431 Telegram ranks this channel #3 of 50 here — alongside 49 others — read 16 September 2026
Neuro Arts @neuro_artss · 24,965 Telegram ranks this channel #4 of 45 here — alongside 44 others — read 12 September 2026
Techno-Tricksters @technotricksters · 47,858 Telegram ranks this channel #4 of 16 here — alongside 15 others — read 26 August 2026
SwaperFace: Deepfake, photo editor @Swaperface_1 · 23,977 Telegram ranks this channel #5 of 12 here — alongside 11 others — read 14 September 2026
let media @let_media · 61,337 Telegram ranks this channel #7 of 76 here — alongside 75 others — read 21 August 2026
Lama AI @lama_channel_gpt · 24,085 Telegram ranks this channel #9 of 90 here — alongside 89 others — read 15 September 2026
NeuroADEPT @neuroadepts · 40,447 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 29 August 2026
Neural Brain - Нейросети @neural_braining · 21,249 Telegram ranks this channel #13 of 90 here — alongside 89 others — read 23 September 2026
Nano Banana, GPT Images, Veo 3, Midjourney - Новости YES Ai @yes_ai_official · 97,468 Telegram ranks this channel #13 of 83 here — alongside 82 others — read 22 August 2026
Stable Diffusion News | Нейросети @StableDiffusionBest · 32,175 Telegram ranks this channel #15 of 84 here — alongside 83 others — read 4 September 2026
Chad GPT | Нейросети @AI_Chad · 20,703 Telegram ranks this channel #16 of 79 here — alongside 78 others — read 24 September 2026
CyberYozh AI Security @CyberYozh_AI_security · 26,046 Telegram ranks this channel #16 of 91 here — alongside 90 others — read 12 September 2026
Бурый @sburyi · 20,200 Telegram ranks this channel #17 of 93 here — alongside 92 others — read 4 October 2026
Midjourney Креативы @midjourney_home · 150,626 Telegram ranks this channel #17 of 94 here — alongside 93 others — read 12 August 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,613 Telegram ranks this channel #18 of 96 here — alongside 95 others — read 18 September 2026
Midjourney Prompts @digital_midjourney · 28,837 Telegram ranks this channel #19 of 81 here — alongside 80 others — read 8 September 2026
НейроТудей | Переходник @NeuralToday · 4 Telegram ranks this channel #21 of 85 here — alongside 84 others — read 7 September 2026
Смотри, Морозов и ИИ @mmmorozov · 62,860 Telegram ranks this channel #22 of 96 here — alongside 95 others — read 23 August 2026
Neural Pony @neuralpony · 188,349 Telegram ranks this channel #22 of 61 here — alongside 60 others — read 13 August 2026
Neurogen @neurogen_news · 22,899 Telegram ranks this channel #23 of 88 here — alongside 87 others — read 19 September 2026
Ai molodca @strangedalle · 47,598 Telegram ranks this channel #23 of 94 here — alongside 93 others — read 27 August 2026
This channel appears in 56 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Технологии | Нейросети | Боты” (@aiaiai), 174,418 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/aiaiai.
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.