Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
56 measurements spanning 89 days, net -1,892. 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 56,219–58,679 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
4 Nov 2026, 10:41
56,503
-15
3 Nov 2026, 07:16
56,518
-20
2 Nov 2026, 09:46
56,538
-17
1 Nov 2026, 11:36
56,555
-15
31 Oct 2026, 10:27
56,570
-4
30 Oct 2026, 10:49
56,574
-33
29 Oct 2026, 14:20
56,607
-41
28 Oct 2026, 12:58
56,648
-22
27 Oct 2026, 11:20
56,670
-23
26 Oct 2026, 10:27
56,693
-17
25 Oct 2026, 09:31
56,710
-16
24 Oct 2026, 11:29
56,726
-35
23 Oct 2026, 08:04
56,761
-17
22 Oct 2026, 07:51
56,778
-44
21 Oct 2026, 03:09
56,822
-18
20 Oct 2026, 02:21
56,840
-14
18 Oct 2026, 22:59
56,854
-31
17 Oct 2026, 23:15
56,885
-36
17 Oct 2026, 00:28
56,921
-11
15 Oct 2026, 23:28
56,932
first reading
Engagement
69 posts held, back to 9 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 182 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.4%
avg views ÷ 56,503 subscribers
Avg views / post
8,140
20 posts measured
Reaction rate
1.20%
reactions ÷ views · ER floor
Posts in window
20
of 69 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. It is computed over the 19 of 20 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 November 2026
Posts held
69 (9 July 2026 – 3 November 2026)
Views total
162,700
Reactions total
1,820
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 22:54 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
821
Videos
493
Links
812
Lifetime counters from Telegram’s own channel header, read 4 November 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
10m 11s
Average length
51s
Measured directly from 12 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
6,448 reactions across 68 posts, in 11 distinct kinds. The most used accounts for 35.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
2,257
35.0%
👍
1,769
27.4%
❤
1,378
21.4%
🤣
443
6.87%
🤯
203
3.15%
💯
116
1.80%
🦄
113
1.75%
🎉
104
1.61%
🥰
25
0.388%
😢
23
0.357%
🤬
17
0.264%
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 68 of the 69 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 6,448 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 9 July 2026 to 3 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
130
across the posts below
Posts paid on
21
of 69 we hold a reading for · 30%
Most on one post
51
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @serge_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 69 most recent posts we hold for this entry, published 9 July 2026 to 3 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: 9 of 20 posts held from the last 30 days (45.0%) 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).
Буквально в пятницу за 5 минут мой агент написал самообучающуюся нейросеть
Агент на GPT 6.1 Sol. Да простую, да на 900к параметров. Но обучающуюся самостоятельно играть в шахматы. Потом рядом поставил мозг мухи, который тоже поставили обучаться шахматам. Модель сама себе правила веса и становилась чуть-чуть умнее, чем 50 игр назад. С мухой тоже, но тут веса правила у меня sol gpt 6.1. Я восхищался на видео (кто подп…
Такого ни разу не постил (вообще далеко от ИИ)
Но чего-то так рад за мужика, что просто оставлю здесь, на память
На фоне всех этих слухов про новую астру и мифос - меня больше впечатлил этот человек. Следил за ним последние пару лет
✅KEISOSUBBOTA
Кейсосуббота — это рубрика, где мы делимся своими работами и взаимодействиями с ИИ. Это может быть что угодно:
-картинки
-анимации
-текст
-код
-боты
-песни
-видео и т.д.
❤️ Не забывайте оставлять обратную связь на работы других людей. Это очень ценно
Давайте попробуем меньше разводить флуд в комментариях.
Для разных вопросов у нас есть чат — там такое. А здесь давайте по делу. Читайте ниже поя…
➡️Сунари и сунарыни! Хорошая новость
Suno запускают cвой MCP. Теперь можно будет дать задачу своему агенту, чтобы он генерил песенки, пока вы спите или мажете пальцем кетчуп по хлебушку и руки грязные. Теперь без костылей и доступа к браузеру.
Пока что это бета.
Податься на ранний доступ можно вот здесь — ссылка. Заполняем и ждём ответа в течение 48 часов.
А здесь совсем чуть подробностей
🔥️️️️️️Новая мировая модель от Google. Симуляция симуляций. А для любителей теории симуляции — симуляция симуляции симуляций
Относитесь к некоторым идеям в тексте, как к публицистике и послеобеденным фантазиям, а не утверждениям 100% реальности происходящего.
В целом на этом можно было и закончить. Но давайте разберемся чуть. Первое — что такое мировые модели? Если сильно упростить — это модель, которая позволяет с…
➡️Вышла новая модель GPT 6.1 Terra. Хорошо и дешевле
Это средняя из линейки. По показателям близка к Sol, но дешевле. И они ещё снизили стоимость
Теперь 1 долляр и 5 долляров за 1 млн токенов на вход и выход соответсвенно. Кэш 50 центов.
Уже раскатывают... Должна быть хорошая и рабочая лошадка
здесь больше графиков, сравнений, текста и визуализаций
➡️Мы строили жизнь с расчётом, что никто не будет её слишком тщательно ковырять. Теперь будет
Меня в последних событиях (очень много участившихся либо взломах, либо нахождениях дырок в безопасности) немного напрягает, насколько быстро дешевеет работа, которая раньше требовала редких специалистов. Действительно талантливых и деятельных хацкеров было в этих ваших интернетах достаточно мало. Т.к. тема сложная, ну и опа…
✅KEISOSUBBOTA
Кейсосуббота — это рубрика, где мы делимся своими работами и взаимодействиями с ИИ. Это может быть что угодно:
-картинки
-анимации
-текст
-код
-боты
-песни
-видео и т.д.
❤️ Не забывайте оставлять обратную связь на работы других людей. Это очень ценно
Давайте попробуем меньше разводить флуд в комментариях.
Для разных вопросов у нас есть чат — там такое. А здесь давайте по делу. Читайте ниже поя…
➡️Kimi K3.1 Pro вышла. Дешево (относительно других) и сердито
В видео представлены всякие шоукейсы. На картинке сравнение с топами типа Астры, Опуса, Фейбла и т.д.
По всем признакам — будет пользоваться спросом. Поэтому точно стоит тестить...
Побаловаться можно тут, но так как большая нагрузка сейчас — врядли бесплатно получится, ну или они дурят таким сообщением)
Цены на API:
2 доллара за 1 млн токенов на вход
…
➡️Рисуем любые эксплейнеры (применение сами придумайте)
Ссылка на гитхаб Animator (просто её дайте своему агенту и пусть разберется как установить)
Тот видос, что прикрепил к посту делался примерно 8 минут в кодексе.
Затраты на него следующие:
На создание и проверку: 2 416 012 токенов — 71 052 новых и 2 344 960 кешированных.. Озвучка Qwen отдельно: 345 шагов аудиокодека (бесплатно)
⚡Слили секретный кусок интервью Джобса о его первом (неизвестном) стартапе
Конечно всего он не расскзал, но направление думаю вы уловили
p.s. со всем уважением к Стиву...
🦾️️️️️️Давайте придумаем название?
Ну или мыслями своими поделитесь, пожалуйста, по поводу увиденного. Знаю — у нас тут есть дипломированные специалисты по этой теме.
p.s. мне очень нравится огонь из ноги, как в Теккен 3
👍38🔥18🤯18❤5🤣5🎉1🤬1
Showing the 12 most recent of 69 posts we hold for @serge_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.
Posts edited after publishing
@serge_ai edited 3 posts 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
8 August 2026
Most recent edit
10 October 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 8 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.
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 23 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.
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 59,196 Telegram ranks this channel #5 of 95 here — alongside 94 others — read 22 August 2026
Руслан Гамзатов | AI маркетинг @AIGamzatov · 34,032 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 8 September 2026
🟡NeuroGraph @neyr0graph · 34,320 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 3 September 2026
Смотри, Морозов и ИИ @mmmorozov · 62,855 Telegram ranks this channel #7 of 96 here — alongside 95 others — read 23 August 2026
SYNTX FAMILY @syntxfamily · 323,546 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 22 August 2026
Нейро Ликбезик | Кирилл Безиков @kirillbezikov · 19,941 Telegram ranks this channel #9 of 96 here — alongside 95 others — read 29 September 2026
Промты для нейросетей @iidlyabi · 22,300 Telegram ranks this channel #9 of 87 here — alongside 86 others — read 20 September 2026
CyberYozh AI Security @CyberYozh_AI_security · 26,075 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 12 September 2026
Егор Кузьмин XR @EgorKuzminxr1 · 21,333 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 23 September 2026
Ринат Шакиров | Промпты для Midjourney | ChatGPT | @dailyprompts · 42,553 Telegram ranks this channel #12 of 91 here — alongside 90 others — read 29 August 2026
Анжела Петкова | ИИ на практике @anjela_p · 78,975 Telegram ranks this channel #14 of 93 here — alongside 92 others — read 22 August 2026
AI Университет @neural_university_webinar · 37,090 Telegram ranks this channel #15 of 96 here — alongside 95 others — read 31 August 2026
Арон Закрия @aironzak · 118,910 Telegram ranks this channel #16 of 80 here — alongside 79 others — read 3 September 2026
Neural Brain - Нейросети @neural_braining · 21,263 Telegram ranks this channel #19 of 90 here — alongside 89 others — read 23 September 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 78,122 Telegram ranks this channel #20 of 94 here — alongside 93 others — read 29 August 2026
Мир нейросетей - новости, обучение и заработок @pro_ai_novosti · 50,060 Telegram ranks this channel #20 of 90 here — alongside 89 others — read 25 August 2026
Нейроконцентрат | нейросети, технологии @AIConcentrate · 30,665 Telegram ranks this channel #22 of 95 here — alongside 94 others — read 6 September 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,566 Telegram ranks this channel #26 of 96 here — alongside 95 others — read 18 September 2026
Nano Banana, GPT Images, Veo 3, Midjourney - Новости YES Ai @yes_ai_official · 97,588 Telegram ranks this channel #26 of 83 here — alongside 82 others — read 22 August 2026
NEIROSETKIN @neirosetkin · 19,951 Telegram ranks this channel #29 of 89 here — alongside 88 others — read 28 September 2026
💎 Зерокодер | Нейросети и искусственный интеллект @oqode · 39,416 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 30 August 2026
Беляк про нейросети @belyakAi · 31,331 Telegram ranks this channel #32 of 91 here — alongside 90 others — read 7 September 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney @neural_houses · 44,168 Telegram ranks this channel #34 of 92 here — alongside 91 others — read 28 August 2026
NeuroADEPT @neuroadepts · 40,491 Telegram ranks this channel #36 of 85 here — alongside 84 others — read 29 August 2026
This channel appears in 39 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Serge_AI 1.0” (@serge_ai), 56,503 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/serge_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.