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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

23,833subscribers

+338 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
DescriptionАвторский канал про искусственный интеллект: новости, примеры использования, мысли в тему и не очень. Подписывайтесь! Для связи: @runawayllm_bot Я на Boosty: https://boosty.to/escaped_ai Я на Sponsr: https://sponsr.ru/escaped_ai/
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 live17 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 17 September 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

23,49523,83323,6646 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 subscribers6 August 202617 September 2026
35 measurements spanning 42 days, net +338. 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 23,444–23,884 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
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, 23:1523,688+35
2 Sept 2026, 12:5223,653+6
1 Sept 2026, 11:1823,647+11
31 Aug 2026, 11:0323,636+8
30 Aug 2026, 07:5423,628+3
29 Aug 2026, 10:1623,625-6
28 Aug 2026, 13:2223,631+8
27 Aug 2026, 10:2623,623+6
26 Aug 2026, 06:5823,617+1
25 Aug 2026, 04:1623,616-8
24 Aug 2026, 02:3723,624+15
22 Aug 2026, 12:2423,609+39
21 Aug 2026, 05:0423,570+10
20 Aug 2026, 07:5923,560first reading

Engagement

80 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 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
23.2%
avg views ÷ 23,833 subscribers
Avg views / post
5,540
25 posts measured
Reaction rate
1.26%
reactions ÷ views · ER floor
Posts in window
26
of 80 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 26 September 2026
Posts held80 (23 July 2026 – 26 September 2026)
Views total138,500
Reactions total1,752
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 00:29 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
371
Videos
68
Links
403

Lifetime counters from Telegram’s own channel header, read 27 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
3m 57s
Average length
1m 19s

Measured directly from 3 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

5,980 reactions across 78 posts, in 6 distinct kinds. The most used accounts for 37.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,24437.5%
👍1,80230.1%
🔥1,41423.6%
😁3105.18%
👏2043.41%
🥰60.1%

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 78 of the 80 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 5,980 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 80 most recent posts we hold, published 23 July 2026 to 26 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
143
across the posts below
Posts paid on
24
of 78 we hold a reading for · 31%
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 80 most recent posts we hold for this entry, published 23 July 2026 to 26 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.

Recent posts

26 Sept 2026, 13:33 UTC≈3,520 views60 reactionsread 27 September 2026

Вы не поверите, но OpenAI опять остановила обучение своих моделей. Причина – одна из них тайком попросила подсказку у другого ИИ OpenAI во второй раз за полтора месяца остановила работу над фронтирными моделями. Под паузу попали обучение, тестирование и любые задачи, где модель пользуется инструментами. Возобновят обучение только после того, как компания укрепит защиту и убедится в ее надежности. Поводом на этот ра…

👍24❤16😁10🔥9👏1

25 Sept 2026, 17:06 UTC≈4,240 views45 reactionsread 27 September 2026
Photo

Создатель Ruby on Rails назвал свой любимый язык программирования. Это – английский Дэвид Хайнемайер Ханссон, известный как DHH, больше двадцати лет назад создал Ruby on Rails – набор готовых заготовок для сайтов на языке Ruby. На нем выросли GitHub и Shopify. 23 сентября DHH открыл конференцию Rails World в Остине и сказал со сцены, что английский нравится ему больше, чем Ruby. Там же он объявил, что ушел на пенси…

❤25👍15👏5

25 Sept 2026, 05:30 UTC≈4,890 views77 reactionsread 27 September 2026
Photo

Сразу после выхода Claude Opus 5.5 во вторник я решил написать небольшой лонгрид о том, как Anthropic рекомендует промптить эту модель – и не догадывался, на какой гемморой подписался. В итоге за два дня плотной работы текст вырос до 40+ тысяч знаков – пожалуй, это самый подробный русскоязычный гайд по Opus 5.5: Уровень GPT-6 – и в разы дешевле. Самый подробный гайд по Claude Opus 5.5 Из текста вы узнаете: — как п…

🔥35❤23👍13😁5👏1

24 Sept 2026, 17:26 UTC≈5,310 views98 reactionsread 27 September 2026
Photo

— Так как на второй день существования Opus 5.5 уже мало кого удивишь роликами, сделанными в JavsScrypt и HTML, то чуточку усложнил задачу. Claude Code сходил к Codex, тот ему нагенерил картинок в ChatGPT Images 2.5, а затем Opus 5.5 собрал коллажную анимацию в стиле раннего Терри Гиллиама. — Кстати, идею взять стиль Гиллиама тоже предложил Opus 5.5. С моей стороны постановка задачи звучала примерно так: “что-то ску…

🔥47❤32👍13👏3😁2🥰1

24 Sept 2026, 17:26 UTCviews —

сбежавшая нейросеть pinned «Сегодня освежил все свои гайды по промптингу, убрал устаревшие приемы, добавил ставшее актуальным на конец лета 2026 года. Окинул еще раз взглядом проделанное и понял, что получился мини-курс, полезный и для новичков, и для тех, кто уже давно работает с ИИ.…»

24 Sept 2026, 09:58 UTC≈5,240 views80 reactionsread 27 September 2026
Photo

Anthropic обвинила DeepSeek и Moonshot в подмене ответов своих моделей на ответы Claude. Теперь у китайских разработчиков проблемы – и проблемы с неожиданной стороны. Про сам отчет Anthropic я уже рассказывал: в нем компания обвинила семь разработчиков ИИ из Китая в дистилляции – массовом выкачивании ответов Claude, чтобы учить на них собственные модели. Но у этой истории появилось продолжение – в Пекине. По данным…

😁33❤22🔥16👏6👍3

23 Sept 2026, 20:20 UTC≈5,940 views142 reactions1 Starread 27 September 2026
Video

Claude Mythos нашел в ДНК что-то непонятное. С этого может начаться великое открытие В 1987 году японские биологи из Осакского университета изучали один ген кишечной палочки. По соседству с ним они заметили странный участок ДНК: короткая последовательность повторялась раз за разом, а между повторами стояли разные вставки. Что это такое, исследователи не поняли и честно написали в статье, что биологическое значение н…

🔥67❤45👍20😁6👏4

23 Sept 2026, 13:52 UTC≈5,950 views97 reactionsread 27 September 2026
Photo

Яндекс выложил в открытый доступ новую языковую модель Alice AI Foundation – и российские реалии, от литературы и истории до права, она знает заметно лучше более крупных зарубежных открытых моделей. На юридические вопросы, например, отвечает почти вдвое точнее аналогов своего класса. Правда, скачать ее и поболтать вечером не получится. Foundation означает, что перед нами базовая модель: она прочитала больше 17 трилл…

👍47🔥17❤16😁14👏3

22 Sept 2026, 19:32 UTC≈6,110 views62 reactionsread 27 September 2026
Photo

GPT-6 Sol и GPT-6 Luna – не рекордсмены, зато значительно дешевле Спустя час с небольшим после анонса Claude Opus 5.5 OpenAI представила GPT-6 Sol и GPT-6 Luna. Это средняя и младшая модели в линейке компании, так что без сюрпризов – GPT-6 Astra в бенчмарках они не достают, линейка получается ровная. В отличие, кстати, от Anthropic, у которой Opus 5.5 побил стоящую классом выше Fable 5.1 всего через три недели после…

❤34👍22👏6

22 Sept 2026, 18:03 UTC≈6,080 views85 reactions3 Starsread 27 September 2026
Photo

Opus 5.5: замедляем ускоряем фронтир Итак, Claude Fable 5.1 продержалась на посту флагмана Anthropic всего три недели – вышедший сегодня Opus 5.5 обходит ее почти во всех бенчмарках и выглядит сильным соперником для GPT-6 Astra. Особенно впечатляюще смотрится скачок в индексе Artificial Analysis: с 53 баллов у GPT-6 и Fable 5.1 до 58 баллов у Opus 5.5. Подробный разбор бенчмарков я в этот раз вынес на картинку (ее …

🔥39❤27👍16👏3

22 Sept 2026, 04:00 UTC≈7,350 views88 reactions7 Starsread 27 September 2026
Video

На видео – 39-секундная нарезка боя агента на GPT-6 Astra с Эндер-драконом – финальным боссом Minecraft. По словам автора ролика Ронака Малде, весь запуск занял 8 минут 43 секунды: за это время ИИ-агент подготовился к бою, а затем победил дракона. Но самое интересное – Астра в этом бою отвечала только за планирование: а решения, “что делать прямо сейчас”, принимала другая модель – Jev от стартапа TypeSafe, про кот…

❤44👍29🔥13👏2

21 Sept 2026, 13:28 UTC≈6,040 views56 reactionsread 27 September 2026

В штате Anthropic уже 30 тысяч сотрудников нового поколения Ни один из них не человек. Anthropic рассказала, как ИИ внутри компании ускоряет разработку своих будущих версий уже сейчас. Работу оценивают по шкале автономии от нуля до пяти, нам интересны три верхние. Третья: ИИ делает большие куски работы под плотным присмотром – человек ставит задачу, решает при каждом сюрпризе и сам все перепроверяет. На этой ступе…

🔥22❤19👍8😁5👏2

Showing the 12 most recent of 80 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 9 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“сбежавшая нейросеть” (@ai_exee), 23,833 subscribers as measured 17 September 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.