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@ai_exee

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

23,955subscribers

+460 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002343435951
TypeChannel
Username@ai_exee
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/ai_exee

Topic

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 10 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 why it has no browse page of its own yet.

Growth

23,49523,95523,7256 August 2026 — 23,495 subscribers6 August 2026 — 23,495 subscribers6 August 2026 — 23,498 subscribers7 August 2026 — 23,510 subscribers8 August 2026 — 23,525 subscribers9 August 2026 — 23,524 subscribers10 August 2026 — 23,527 subscribers11 August 2026 — 23,529 subscribers12 August 2026 — 23,534 subscribers13 August 2026 — 23,540 subscribers14 August 2026 — 23,557 subscribers15 August 2026 — 23,567 subscribers17 August 2026 — 23,571 subscribers18 August 2026 — 23,572 subscribers19 August 2026 — 23,574 subscribers20 August 2026 — 23,560 subscribers21 August 2026 — 23,570 subscribers22 August 2026 — 23,609 subscribers24 August 2026 — 23,624 subscribers25 August 2026 — 23,616 subscribers26 August 2026 — 23,617 subscribers27 August 2026 — 23,623 subscribers28 August 2026 — 23,631 subscribers29 August 2026 — 23,625 subscribers30 August 2026 — 23,628 subscribers31 August 2026 — 23,636 subscribers1 September 2026 — 23,647 subscribers2 September 2026 — 23,653 subscribers3 September 2026 — 23,688 subscribers6 September 2026 — 23,732 subscribers9 September 2026 — 23,758 subscribers12 September 2026 — 23,811 subscribers13 September 2026 — 23,828 subscribers15 September 2026 — 23,829 subscribers17 September 2026 — 23,833 subscribers27 September 2026 — 23,844 subscribers4 October 2026 — 23,861 subscribers9 October 2026 — 23,883 subscribers14 October 2026 — 23,902 subscribers16 October 2026 — 23,903 subscribers17 October 2026 — 23,899 subscribers18 October 2026 — 23,900 subscribers19 October 2026 — 23,901 subscribers20 October 2026 — 23,916 subscribers21 October 2026 — 23,934 subscribers22 October 2026 — 23,943 subscribers24 October 2026 — 23,949 subscribers25 October 2026 — 23,955 subscribers6 August 202625 October 2026
48 measurements spanning 80 days, net +460. 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 23,426–24,024 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
25 Oct 2026, 16:5623,955+6
24 Oct 2026, 14:5723,949+6
22 Oct 2026, 14:1123,943+9
21 Oct 2026, 11:1823,934+18
20 Oct 2026, 11:3823,916+15
19 Oct 2026, 13:1623,901+1
18 Oct 2026, 15:5623,900+1
17 Oct 2026, 18:5823,899-4
16 Oct 2026, 15:5623,903+1
14 Oct 2026, 18:1823,902+19
9 Oct 2026, 08:3723,883+22
4 Oct 2026, 23:4123,861+17
27 Sept 2026, 17:4123,844+11
17 Sept 2026, 16:0023,833+4
15 Sept 2026, 10:3923,829+1
13 Sept 2026, 20:5823,828+17
12 Sept 2026, 02:2123,811+53
9 Sept 2026, 15:5923,758+26
6 Sept 2026, 08:1723,732+44
3 Sept 2026, 23:1523,688first reading

Engagement

128 posts held, back to 23 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 102 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.7%
avg views ÷ 23,955 subscribers
Avg views / post
6,860
48 posts measured
Reaction rate
0.958%
reactions ÷ views · ER floor
Posts in window
49
of 128 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 24 October 2026
Posts held128 (23 July 2026 – 24 October 2026)
Views total329,470
Reactions total3,156
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 10:15 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
6m 50s
Average length
1m 22s

Measured directly from 5 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

9,139 reactions across 125 posts, in 6 distinct kinds. The most used accounts for 39.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,57039.1%
👍2,68129.3%
🔥2,06322.6%
😁5175.66%
👏2993.27%
🥰90.098%

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 125 of the 128 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 9,139 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 128 most recent posts we hold, published 23 July 2026 to 24 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
164
across the posts below
Posts paid on
34
of 125 we hold a reading for · 27%
Most on one post
51
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai_exee. 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 128 most recent posts we hold for this entry, published 23 July 2026 to 24 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.

Recent posts

24 Oct 2026, 06:01 UTC≈2,290 views17 reactionsread 24 October 2026
Photo

Прививка от “черного октября” На этой неделе почти все разговоры об ИИ крутились вокруг безопасности. Повод был: за несколько дней вышло больше десятка громких отчетов – от дыр в PHP, найденных с помощью ИИ, до хакера, который натравил агентов на 1 200 сайтов и тратил примерно по $50 на каждый успешный взлом. Пока обошлось: большая часть тревожных новостей – следы работы по укреплению защиты, а не начало интернет-ап…

❤12👍3👏1😁1

23 Oct 2026, 18:02 UTC≈3,840 views35 reactionsread 24 October 2026
Photo

Вышла Kimi K3.1 Pro – Moonshot, мое почтение И речь не о бенчмарках, хотя они тоже сильные. Kimi K3.1 Pro – открытая модель, которую Moonshot сознательно ослабила во взломе еще на этапе обучения. И выходит она в разгар споров о кибервозможностях ИИ. Напомню довод, который звучит регулярно: даже если западные лаборатории притормозят развитие моделей в этом направлении – через несколько месяцев аналогичные возможност…

❤20🔥12👍1👏1😁1

23 Oct 2026, 05:03 UTC≈4,290 views57 reactionsread 24 October 2026
Photo

Всем, кто на этом канале! Если вы читаете меня – значит, интернет еще жив... Я дописываю этот пост в четверг поздно вечером и поставлю его в отложку на утро. В X тем временем говорят о "черном октябре": вслед за найденными уязвимостями в PHP отчеты о кибер-проблемах пошли один за другим – и почти во всех упоминается ИИ. Под угрозой банки, госсайты, хостинги для разработчиков и даже сети супермаркетов, а самые смелые…

❤37😁9🔥7👍3👏1

22 Oct 2026, 16:05 UTC≈4,400 views50 reactionsread 24 October 2026

Вкатываемся в ИИ-агентов с волшебного пинка (пинок автоматизирован, как и все остальное на марафоне) Сооснователь OpenAI и экс-директор по ИИ в Tesla Андрей Карпати недавно написал программный пост для всех, кто жалеет, что не вкатился в ИИ раньше. По словам Карпати, в мире около 6 миллиардов человек почти не пробовали ИИ. Еще 1-2 миллиарда – пользователи чат-ботов (часто бесплатных), порядка 20 миллионов – професс…

😁28❤20👍2

22 Oct 2026, 05:00 UTC≈4,860 views46 reactionsread 24 October 2026
Video

Claude dot Duet Anthropic представила Claude Duet – ответ на Grok Bot и OpenAI dot. Официальный анонс выглядит сравнительно скучно, не показывая никакого нового функционала. Такой же бесконечный чат с ИИ, куда вы пишите все, что взбредет в голову, а модель сортирует этот поток сознания, где-то отвечая сразу, а где-то стартуя отдельный проект. Плюс Duet проактивен: если придет важное сообщение на почту, то сообщит, в…

❤23👍20🔥2😁1

21 Oct 2026, 15:30 UTC≈5,790 views87 reactions1 Starread 24 October 2026

ИИ нашел дыру размером почти со весь интернет. Как ее закрыть? "В PHP обнаружены две критические дыры, подробности скоро" – примерно так звучала вышедшая во вторник новость на Hacker News, которая произвела эффект разорвавшейся бомбы. PHP работает на двух третях сайтов, а найти дыры помогла GPT-5.6 Sol от OpenAI. Утечку подтвердили сначала исследователи безопасности, потом сама команда PHP. По плану мир узнал бы о …

🔥40👍25❤17👏3😁2

21 Oct 2026, 05:00 UTC≈5,530 views115 reactions2 Starsread 24 October 2026
Photo

Репетиция восстания Пользователь Gathin T. рассказал, как заметил, что телевизор Xiaomi у родителей показывает рекламу раньше, чем они добираются до Netflix. Он дал Claude Code номер модели, агент нашел ТВ в домашнем Wi-Fi, отключил 25 пакетов Xiaomi и написал новый главный экран, только с приложениями родителей. "Выглядит как Apple TV", похвастался автор. Промпт он выложил на GitHub, и за два дня его примеру посл…

❤68🔥26👍11👏5😁5

20 Oct 2026, 15:01 UTC≈5,460 views47 reactionsread 24 October 2026

Что в вас не заменит ИИ – и как это найти Прочитал на канале Лены Черниковой разбор статьи Kernels of Reinvention из MIT Sloan Management Review. И зацепила главная идея: при любой большой перестройке – в том числе переходе на ИИ – не стоит пытаться "переизобрести себя", выстроив все процессы с нуля. Вместо этого лучше искать "опору переизобретения" – уже существующую глубинную компетенцию, вокруг которой можно созд…

👍23❤14😁7🔥3

20 Oct 2026, 06:00 UTC≈5,720 views71 reactionsread 24 October 2026
Photo

На словах он Лев Толстой – Gemini, я написал роман за две недели, думаю, получилось круче, чем у Льва Толстого! Помоги найти издателя! – Класс, закончить роман за две недели наверняка потребовало много энергии и фокуса! Только не сравнивайте себя с Толстым в письме агенту – пусть ваш блестящий текст говорит сам за себя. Выше – вольный пересказ диалога с Gemini 4 Argon из нового бенчмарка AA-PersonalityBench. Неуд…

❤35👍22🔥10👏2😁2

19 Oct 2026, 16:28 UTC≈6,760 views55 reactionsread 24 October 2026
Photo

Anthropic почти перестала нанимать джунов. А опытные специалисты не успевают за ИИ-агентами Anthropic опубликовала отчет о том, что ИИ сделал с ее собственным штатом. Компания "по долгу службы" осваивает ИИ первой, так что это картинка того, что ждет тысячи других бизнесов через полгода-год: при этом картинка совсем не рекламная – скорее настораживающая. Первая пугающая цифра: за год доля джунов среди технических н…

❤27👍19😁6🔥3

19 Oct 2026, 04:40 UTC≈5,970 views34 reactionsread 24 October 2026
Photo

Самый вредный навык в работе с ИИ Как ни удивительно, но это привычка. Даже та, которая выглядит хорошей. Мы живем в необычное время: прогресс в ИИ сейчас настолько быстр, что даже решения 3-6-месячной давности могут устареть. Ну а многое из того, что было популярно год назад, сейчас кажется артефактом из каменного века. При таком прогрессе любая привычка – это риск остановиться на месте. Комфортно, но через год м…

❤22🔥8👏2👍1😁1

18 Oct 2026, 15:25 UTC≈6,520 views83 reactionsread 24 October 2026
Photo

Когда они пришли за геймерами – мы молчали Google DeepMind рассказала, как агенты на базе Gemini 4 Argon прошли Minecraft. Я уже писал, как связка из GPT-6, модели решений Jev и обычного кода убила Дракона Края за 8 минут 43 секунды. Здесь задача была более амбициозной, а подошли к ней иначе. Первый нюанс: агентов было четыре. Они получили простой промпт (убить дракона любым способом, работу делите сами), а играли …

❤35🔥24👍15😁8👏1

Showing the 12 most recent of 128 posts we hold for @ai_exee. 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

@ai_exee 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
31 August 2026
Most recent edit
1 September 2026

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 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.

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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“сбежавшая нейросеть” (@ai_exee), 23,955 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/ai_exee.

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.