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Channel

Матэй - AI автоматизация

@ai_automatisation

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

2,297subscribers

+7 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001538422560
TypeChannel
Username@ai_automatisation
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/ai_automatisation

Growth

2,2842,3002,2927 August 2026 — 2,290 subscribers7 August 2026 — 2,290 subscribers7 August 2026 — 2,292 subscribers11 August 2026 — 2,284 subscribers14 August 2026 — 2,293 subscribers17 August 2026 — 2,300 subscribers20 August 2026 — 2,298 subscribers24 August 2026 — 2,294 subscribers27 August 2026 — 2,297 subscribers2,2977 August 202627 August 2026
9 measurements spanning 20 days, net +7. 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 2,282–2,302 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 04:382,297+3
24 Aug 2026, 03:352,294-4
20 Aug 2026, 10:062,298-2
17 Aug 2026, 16:182,300+7
14 Aug 2026, 13:542,293+9
11 Aug 2026, 07:462,284-8
7 Aug 2026, 21:152,292+2
7 Aug 2026, 09:022,290no change
7 Aug 2026, 08:582,290first reading

Engagement

15 posts held, back to 15 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 12 February 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 50s
Average length
37s

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

67 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 38.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2638.8%
👍2435.8%
1420.9%
👏34.48%

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 14 of the 15 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 67reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 15 April 2025 to 12 February 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.

Recent posts

12 Feb 2026, 16:15 UTC≈2,530 views2 reactionsread 7 August 2026

Кому нужны аккаунты Gemini AI Ultra Создал группу с проверенными поставщиками - https://t.me/gemini_ultra_sellers Проверяйте статус в разделе "Участники"

🔥2

11 Jan 2026, 20:32 UTC≈3,150 views1 reactionsread 7 August 2026

Здесь появляюсь редко, занимаюсь другим проектом. Если интересно, переходи https://t.me/youtube_academia

👍1

1 Dec 2025, 13:21 UTC≈3,230 views8 reactionsread 7 August 2026
Photo

Вышли DeepSeek-V3.2 и DeepSeek-V3.2-Speciale — новые флагманские модели от китайских разработчиков. Обе модели по бенчмаркам не уступают GPT-5 и Gemini 3 Pro, а в контестах по математике и информатике оказались даже лучше. Базовую DeepSeek-V3.2 уже можно бесплатно опробовать здесь. Более «умную» пока отдают только через API. @ai_automatisation

👏3🔥32

24 Nov 2025, 19:32 UTC≈2,800 views9 reactionsread 7 August 2026
Photo

Вышла Claude Opus 4.5 — новая флагманская модель Anthropic, которая по большинству бенчмарков опережает Gemini 3 Pro и GPT-5.1. Opus 4.5 набрала 37,6% в ARC-AGI-2 и 80,9% в SWE-bench. Ее научили при необходимости дольше думать над задачей ради лучшего решения. Теперь это лучшая нейронка для вайбкодинга и запуска ИИ-агентов. Уже доступно подписчикам Claude. @ai_automatisation

👍53🔥1

29 Sept 2025, 17:48 UTC≈2,980 viewsread 7 August 2026
Photo

Вышла Claude Sonnet 4.5 — это самая мощная модель для вайбкодинга. В бенчарке SWE-bench она с отрывом обогнала топовые нейронки OpenAI и Google. Sonnet 4.5 заняла первое место в задачах по финансам, праву и медицине. А еще она меньше всех выдавала ответы с галлюцинациями. Уже можно тестировать здесь. @ai_automatisation

17 Sept 2025, 21:05 UTC≈2,650 views3 reactionsread 7 August 2026
Video

Ваша личная студия звукозаписи: ElevenLabs выпустили редактор Studio 3.0 — в одном месте доступны все нейронки для работы с голосами и звуками. Можно создавать озвучку, музыку, фоновые шумы и многое другое. Впервые добавили поддержку видео — можно удалять лишних звуков, генерировать субтитры и исправлять неудачные дубли. Пробуем бесплатно тут. @ai_automatisation

3

10 Sept 2025, 18:03 UTC≈2,440 views8 reactionsread 7 August 2026
Photo

Топовый генератор видео Hailuo AI стал полностью бесплатным на целую неделю. Модель Hailuo 02 умеет создавать ролики, неотличимые от кадров из фильмов. Она выдает реалистичные кадры и не ломает законы физики. Забираем по ссылке. Ограничений на число генераций нет до 17 сентября. @ai_automatisation

👍62

18 Aug 2025, 17:31 UTC≈2,370 views4 reactionsread 7 August 2026

Теперь доступно по API https://elevenlabs.io/docs/capabilities/music

🔥4

7 Aug 2025, 17:16 UTC≈2,520 views3 reactionsread 7 August 2026
Photo

GPT-5 уже тут — OpenAI наконец выпустили свою самую передовую модель. Судя по презентации, по интеллекту она не уступает доктору наук. Новой модели прокачали логику и самостоятельность. Она умеет писать код для сложных приложений без подробных промтов и лучше справляется с задачами для ИИ-агента. По сравнению с GPT-4o и o3 она почти не галлюцинирует. В бенчмарке AIME 2025 GPT-5 набрала 100% — впервые среди всех ней

🔥21

5 Aug 2025, 14:43 UTC≈1,950 views7 reactionsread 7 August 2026

🆕 ElevenLabs выпустила Eleven Music v1! 🎶 Теперь вы можете создавать профессиональные музыкальные треки любого жанра, настроения и на любом языке — просто с помощью текстового описания. Основные возможности Eleven Music: 🎼 Полный контроль над творчеством Задавайте жанр, стиль, инструменты и структуру композиции на естественном языке. Можно редактировать трек или отдельные его части, просто написав, что изменить.

🔥7

5 Jun 2025, 21:12 UTC≈2,490 views7 reactionsread 7 August 2026
Video

ElevenLabs выпустили Eleven V3 — свою самую мощную модель для генерации речи. Голоса стали звучать совсем как настоящие, и появилась функция диалогов. В промтах теперь можно добавить переходы на крик, кашель или задать тон разговора. За счет этого реплики ИИ получаются в разы живее и разнообразнее. Пробуем по ссылке. @ai_automatisation

👍7

22 May 2025, 17:02 UTC≈2,340 views4 reactionsread 7 August 2026
Photo

Antropic выпустили Claude 4 Sonnet и Opus. Обе заявлены как лучшие модели для программирования в мире. В бенчмарку SWE новые модели опередили даже Codex-1 и o3 от OpenAI. Лучше всего они показывают себя в разработке, анализе данных и решении задач по математике. Claude 4 Sonnet уже доступна бесплатно. Тестируем здесь. @ai_automatisation

🔥3👍1

Showing the 12 most recent of 15 posts we hold for @ai_automatisation. 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.

Citation-graph rank

Citation-graph rank — 896,759 of 1,620,455entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

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.

Асан Дедлайн (Все про 🇺🇸Ютуб)
@dadlineasan · 60,850
Telegram ranks this channel #14 of 42 here — alongside 41 others — read 22 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 27 August 2026 — this entry's latest reading, not the date you are reading this.

“Матэй - AI автоматизация” (@ai_automatisation), 2,297 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/ai_automatisation.

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.