Telegram RegisterThe public register of Telegram
Telegram profile photo for ВыдыхAi | Новости про ИИ

Channel

ВыдыхAi | Новости про ИИ

@news_aboutAi

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

464subscribers

-3 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002875790556
TypeChannel
Username@news_aboutAi
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live17 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/news_aboutAi

Growth

464467465.59 August 2026 — 467 subscribers10 August 2026 — 467 subscribers17 August 2026 — 464 subscribers9 August 202617 August 2026
3 measurements spanning 8 days, net -3. 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 464–467 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 13:25464-3
10 Aug 2026, 11:51467no change
9 Aug 2026, 22:15467first reading

Engagement

16 posts held, back to 22 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.9%
avg views ÷ 464 subscribers
Avg views / post
87.5
2 posts measured
Reaction rate
7.43%
reactions ÷ views · ER floor
Posts in window
2
of 16 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 28 July 2026
Posts held16 (22 June 202628 July 2026)
Views total175
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 22:15 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
10s
Average length
10s

Measured directly from 1 video 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

141 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 38.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5438.3%
2618.4%
👍1812.8%
🙏117.80%
👏85.67%
😁74.96%
🤣53.55%
💘42.84%
😎32.13%
🤯32.13%
21.42%

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 16 of the 16 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 141reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 22 June 2026 to 28 July 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

28 Jul 2026, 13:34 UTC89 views7 reactionsread 9 August 2026

Комментирую: За последние пару месяцев я написала 30+ скиллов для Клода. И каждый это отдельная история, когда ты садишься, расписываешь текстом каждый шаг, каждое правило, потом тестируешь, потом переписываешь, потому что модель поняла тебя не так. На один нормальный скилл уходило до часа, а иногда и целый вечер (сложные скиллы могу писать сама, а простые делегирую иишке в чате) И тут Anthropic выкатывает Record a

🔥42🤯1

28 Jul 2026, 13:28 UTC86 views6 reactionsread 9 August 2026
Forwarded from @ai_machinelearning_big_dataPhoto

✔️ Десктопный Claude научился создавать скилы по видео и голосу Anthropic добавила функцию создания кастомных навыков через запись экрана в десктопное приложение Claude. Опция "Record a skill" появилась в пространстве Cowork. Инструмент заменяет написание текстовых промптов для автоматизации рутины. Пользователь включает скринкаст, выполняет действия в интерфейсе и комментирует их голосом. Модель анализирует видео

🔥31👍1🙏1

13 Jul 2026, 08:15 UTC158 views7 reactionsread 9 August 2026

👾 Пару дней назад OpenAI выкатила GPT-5.6 и впервые раздаёт модель нового поколения бесплатно. Я посмотрела трансляцию и села читать независимые замеры-))) Вышло сразу три модели: флагман Sol под сложное, средняя Terra на каждый день и дешёвая Luna под поток. Две недели их держали в закрытом доступе для партнёров, под проверкой властей США (ровно та же история, что недавно была с Fable 5 у Claude) Теперь открыли вс

3👍3🔥1

8 Jul 2026, 17:53 UTC173 views4 reactionsread 9 August 2026
Photo

Что ж, пора и мне показать историю использования за сегодня;))

22

8 Jul 2026, 17:52 UTC164 views7 reactionsread 9 August 2026

И вот полезные советы: 1. Пополняй заметки голосом. Проще всего пополнять базу, когда надиктовываешь мысли на ходу. Автоматическую расшифровку складывай в inbox/. 2. Держи один вход для всех мыслей. Всё новое попадает только в inbox/. Дальше Claude сам раскладывает материалы по темам, проектам и людям. 3. Запускай утреннюю обработку. Каждое утро Claude читает свежие записи, сортирует их, добавляет связи и пишет ко

🔥52

8 Jul 2026, 17:51 UTC155 views10 reactionsread 9 August 2026
Video

Друзья, снова про наш любимый Obsidian (как нибудь точно запилю по нему курс 😂) 👇 Ведущий инженер Anthropic случайно показал своё личное хранилище в Obsidian. Внутри ни кода, ни промптов, только схема его собственного мышления, собранная как нейросеть: 8 893 узла и 4 729 связей По сути это живой мозг для решений внутри компании. 9 000 документов, каждый как отдельное пространство знаний, и все связаны между собой.

🔥4👍3🙏2🤯1

3 Jul 2026, 17:09 UTC163 views8 reactionsread 9 August 2026
Photo

Я начала изучать мир фотографии.. Решила, что это прекрасный способ «познать» эстетику, посмотрев на людей/предметы со стороны фотоаппарата через линзу) Прикрепила несколько примеров, а обработку конечно сделал ИИ 🤭❤️‍🔥 ПРОМПТ: Edit this photograph as if it were post-produced under the artistic direction of Irving Penn. Preserve the subject's identity, facial features, pose, clothing, background, and overall com

💘4🔥2🤯1🙏1

30 Jun 2026, 17:49 UTC163 views14 reactionsread 9 August 2026

И еще, друзья (сегодня аномально много постов ахах).. Я рада похвастаться, что уже ЗАВТРА я запускаю курс по маркетингу!! Я это пишу вам, как тем, кому интересен мой путь) Пишу не чтобы продать, а чтобы искренне поделиться Пока все отдыхали летом и еще даже во время школы и экзаменов, мы с командой делали самый большой и полезный мой продукт! Еще и по маркетингу! За эти три месяца еще и сама поняла маркетинг, стала

🔥7👏4🙏21

30 Jun 2026, 17:10 UTC143 views6 reactionsread 9 August 2026

Не могу не добавить) Огромное количество сейчас видео в рааазных соцсетях о том, что ИИ сейчас полностью монтирует видео Я попробовала всё, о чем эти эксперты говорили. Разоблачение: 1️⃣ Да, Omni Flash умеет редактировать видео и делает это качественно. Но как только дело доходит до монтажа, начинаются проблемы. Во-первых полноценный рилс смонтировать не получится. Потому что временное ограничение модели на генера

😎3🔥21

30 Jun 2026, 17:04 UTC127 views8 reactionsread 9 August 2026

Гугл выкатил две новые модели для генеративных медиа)) Nano Banana 2 Lite: быстрая и дешёвая генерация картинок. Примерно 4 секунды на text-to-image и 0,034$ за 1.000 изображений. Тысяча картинок за три с небольшим цента 🙈 Для меня, которая пачками гонит визуал для Академии и методичек, это прям праздник Вторая, Gemini Omni Flash, отвечает за видео: генерация и редактирование через текст, картинку и видео-референсы

4🔥2🙏2

25 Jun 2026, 12:00 UTC179 views9 reactionsread 9 August 2026

ПОЭТОМУ... ПРОМПТ ДНЯ 😁 (скопировать и вставить в любую нейросеть) Используя [силу мысли] помоги мне найти силы для преодоления [внутреннего сопротивления] для изучения новой сферы [нейросети для задач решения маркетинга в НКО]. Разработай [магический пинок] который сможет подтолкнуть меня к принятию решения [о записи] на курс [Маркетинг для НКО] по ссылке в предыдущем посте [Юлии и Михаила Письменных]

🤣5😁4

Showing the 12 most recent of 16 posts we hold for @news_aboutAi. 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 — 740,712 of 1,566,395entries 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.

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

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.

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

“ВыдыхAi | Новости про ИИ” (@news_aboutAi), 464 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/news_aboutAi.

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.