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Channel

Stable Diffusion & СhatGPT & SDXL — Новости

@ai_nox

On this record: Topic · Also posting the same content · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

16,543subscribers

-181 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001842597804
TypeChannel
Username@ai_nox
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/ai_nox

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 98% 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

16,49916,72516,6127 August 2026 — 16,724 subscribers7 August 2026 — 16,725 subscribers8 August 2026 — 16,715 subscribers9 August 2026 — 16,712 subscribers11 August 2026 — 16,707 subscribers12 August 2026 — 16,693 subscribers14 August 2026 — 16,689 subscribers15 August 2026 — 16,679 subscribers16 August 2026 — 16,683 subscribers17 August 2026 — 16,677 subscribers18 August 2026 — 16,675 subscribers19 August 2026 — 16,670 subscribers20 August 2026 — 16,665 subscribers22 August 2026 — 16,657 subscribers23 August 2026 — 16,648 subscribers25 August 2026 — 16,657 subscribers26 August 2026 — 16,651 subscribers27 August 2026 — 16,652 subscribers28 August 2026 — 16,651 subscribers29 August 2026 — 16,645 subscribers30 August 2026 — 16,641 subscribers31 August 2026 — 16,636 subscribers1 September 2026 — 16,625 subscribers2 September 2026 — 16,616 subscribers5 September 2026 — 16,606 subscribers9 September 2026 — 16,596 subscribers11 September 2026 — 16,579 subscribers13 September 2026 — 16,591 subscribers15 September 2026 — 16,576 subscribers17 September 2026 — 16,559 subscribers25 September 2026 — 16,560 subscribers4 October 2026 — 16,517 subscribers8 October 2026 — 16,504 subscribers15 October 2026 — 16,506 subscribers17 October 2026 — 16,503 subscribers18 October 2026 — 16,501 subscribers19 October 2026 — 16,499 subscribers20 October 2026 — 16,503 subscribers21 October 2026 — 16,509 subscribers23 October 2026 — 16,512 subscribers24 October 2026 — 16,499 subscribers25 October 2026 — 16,504 subscribers25 October 2026 — 16,522 subscribers26 October 2026 — 16,530 subscribers27 October 2026 — 16,515 subscribers28 October 2026 — 16,527 subscribers29 October 2026 — 16,529 subscribers30 October 2026 — 16,537 subscribers31 October 2026 — 16,540 subscribers1 November 2026 — 16,554 subscribers2 November 2026 — 16,558 subscribers3 November 2026 — 16,567 subscribers4 November 2026 — 16,560 subscribers5 November 2026 — 16,555 subscribers6 November 2026 — 16,544 subscribers7 November 2026 — 16,543 subscribers16,5437 August 20267 November 2026
56 measurements spanning 92 days, net -181. 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 16,465–16,759 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
7 Nov 2026, 20:0916,543-1
6 Nov 2026, 21:4816,544-11
5 Nov 2026, 23:0816,555-5
4 Nov 2026, 21:2616,560-7
3 Nov 2026, 22:5616,567+9
2 Nov 2026, 19:5816,558+4
1 Nov 2026, 21:2516,554+14
31 Oct 2026, 19:1016,540+3
30 Oct 2026, 18:1916,537+8
29 Oct 2026, 21:1716,529+2
28 Oct 2026, 23:2916,527+12
27 Oct 2026, 20:4816,515-15
26 Oct 2026, 21:2716,530+8
25 Oct 2026, 23:5616,522+18
25 Oct 2026, 01:2716,504+5
24 Oct 2026, 04:3716,499-13
23 Oct 2026, 01:4916,512+3
21 Oct 2026, 23:3516,509+6
20 Oct 2026, 19:1016,503+4
19 Oct 2026, 20:5516,499first reading

Engagement

41 posts held, back to 31 January 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 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.54%
avg views ÷ 16,543 subscribers
Avg views / post
1,250
8 posts measured
Reaction rate
0.481%
reactions ÷ views · ER floor
Posts in window
8
of 41 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 5 November 2026
Posts held41 (31 January 2026 – 5 November 2026)
Views total9,977
Reactions total48
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 16:40 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.

Reaction mix

339 reactions across 41 posts, in 14 distinct kinds. The most used accounts for 35.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤12035.4%
👍5415.9%
🔥3610.6%
💯308.85%
👌277.96%
🤩236.78%
🍾205.90%
❤‍🔥102.95%
🙏102.95%
🥰41.18%
💘20.59%
✍10.295%
👏10.295%
🤝10.295%

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 41 of the 41 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 339 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 31 January 2026 to 5 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
8
across the posts below
Posts paid on
4
of 41 we hold a reading for · 10%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai_nox. 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 41 most recent posts we hold for this entry, published 31 January 2026 to 5 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: 0 of 8 posts held from the last 30 days (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).

5 Nov 2026, 15:55 UTC513 views4 reactionsread 7 November 2026
Forwarded from @yes_ai_official

Posted without readable text

👌2💯2

3 Nov 2026, 16:15 UTC804 views7 reactionsread 7 November 2026
Forwarded from @yes_ai_officialPhoto

🚀 Обновления в WEB-чате с нейросетями Yes AI 2.9 — yesai.su — Добавили избранное. С помощью иконки ⭐️ под сообщениями можно сохранять промпты, ответы нейросетей и готовые генерации. В каждом чате сверху появился фильтр избранных сообщений. — Улучшили алгоритм получения референсов для GPT Images . До этого иногда задания с референсами отклонялись из-за ошибки чтения входных картинок. — Предварительная стоимость ген…

❤3✍1🍾1👌1👍1

27 Oct 2026, 15:25 UTC≈1,310 views6 reactionsread 7 November 2026
Forwarded from @yes_ai_officialPhoto

📌️️️️️️ Мы опубликовали новую статью про работу с нейросетью Kling AI В ней подробно рассмотрена версия Kling 4.0, а также разобраны основные вопросы по написанию промтов и использоваю референсов для генерации видео. 👉 Рекомендуем к прочтению ・・・・・・・・・・・・・ Для разработчиков мы доработали API для нейросети Kling, теперь система Yes AI поддерживает подачу заданий версии 4.0. 📖 Открыть документацию

❤3💯2👌1

26 Oct 2026, 15:55 UTC≈1,170 views5 reactionsread 7 November 2026
Forwarded from @yes_ai_officialPhoto

🚀 Вышло обновление Yes AI WEB 2.8 Добавлена новая нейросеть Kling AI 4.0 Ссылка: https://yesai.su/ru/kling Новый Kling может создавать ролики длительностью до 30 секунд, а также поддерживает соотношение сторон 21:9. Наконец-то переходы между стартовым и финальным кадрами стали достаточно органичными. Хотя официально об этом не заявлялось, на практике Kling стал лучше генерировать диалоги на русском языке. Также мож…

❤2🍾2👍1

22 Oct 2026, 16:05 UTC≈1,300 views5 reactionsread 7 November 2026
Forwarded from @yes_ai_officialPhoto

🎬 Как освоить Veo 3.1 и собрать видео без лишней путаницы Если вы пока только присматриваетесь к нейросети или уже пробовали, но не поняли, как получить нужный результат, — начните с нашего гайда. 📖 Новая статья — "Всё, что нужно знать про нейросеть Veo 3.1" Разбираем путь от знакомства с интерфейсом до создания длинных роликов: — как пользоваться Veo 3 в веб-интерфейсе Yes AI — как создать видео: пошаговые инстр…

💯2🍾1👌1👍1

17 Oct 2026, 12:35 UTC≈1,500 views6 reactionsread 7 November 2026
Forwarded from @yes_ai_officialPhoto

🚀 Вышла новая версия Yes AI WEB 2.7 https://yesai.su Новая нейросеть [Image Upscaler] — Увеличение фотографий и изображений до 2K и 4K. Функция апскейла через Image upscaler добавлена в качестве дополнительной опции во все нейросети для генерации изображений, т.е. теперь функция увеличения доступна даже в тех нейросетях, которые сами не умеют делать апскейл. 📖 Для разработчиков опубликовали [API Image upscaler] ・・…

❤‍🔥2💯2👌1🤩1

12 Oct 2026, 16:35 UTC≈1,600 views5 reactionsread 7 November 2026
Forwarded from @yes_ai_officialPhoto

💡 ChatGPT умеет строить графики, диаграммы и блок-схемы Данная функция очень полезна для анализа и визуализации данных, но этим она не ограничивается. 👉 Рекомендуем прочитать подробный обзор в нашей новой статье

❤3👍1🤩1

9 Oct 2026, 15:40 UTC≈1,780 views10 reactionsread 7 November 2026
Forwarded from @yes_ai_officialPhoto

🚀 Обновления в Yes AI WEB 2.6 — Добавлена нейросеть Nano Banana 2.1. Она стала дешевле [см. прайс], лучше понимает промты и точнее следует указаниям. ⚠️ ВАЖНО! Если вы используете наш API для Nano Banana, то рекомендуем в запросах переключить версию на 'v.2.1' - [см. документацию] — Добавлена возможность продления видео. Теперь вы можете продлить видео, созданные в нейросетях, которые поддерживают эту функцию: Klin…

❤5👍2🔥2👌1

7 Oct 2026, 09:13 UTC≈1,480 views5 reactionsread 7 November 2026

Стартап Volantis, финансируемый Сэмом Альтманом, разрабатывает ИИ-ускоритель A-1, который использует свет для передачи данных между памятью и вычислительным ядром. Устройство обещает до 10 ТБ памяти и пропускную способность до 240 ТБ/с, хотя это пока не подтвержденные результаты. Основная идея заключается в использовании фотонного интерпозера, который позволит размещать память ближе к вычислительному кристаллу, умень…

❤4👍1

5 Oct 2026, 17:05 UTC≈1,410 views13 reactionsread 7 November 2026
Forwarded from @yes_ai_officialPhoto

🍌 Опубликовали новую инструкцию по нейросети Nano Banana В статье показываем, как управлять лицом, одеждой, позой и фоном через типы референсов. Для экспериментов опубликовали готовые промты. 📖 Перейти к разбору Nano Banana с примерами ・・・・・・・・・・・・・ 🎨 Попробовать Nano Banana — https://yesai.su/ru/nanobanana

🔥5❤3👌3💯2

1 Oct 2026, 15:40 UTC≈1,620 views6 reactionsread 7 November 2026
Forwarded from @yes_ai_officialPhoto

📖 Подробная инструкция по работе с нейросетью GPT Images Мы разобрали все возможности нейросети: генерацию по промтам и референсам, обработку генераций и пр. Особое внимание уделили вопросу выбора типов референсов - эта функция сильно упростит вам жизнь. 👉 Рекомендуем к прочтению всем, кто генерирует изображения в нейросетях [открыть статью] ・・・・・・・・・・・・・ 📌 Доступ к GPT Images - https://yesai.su/ru/gptimages

❤3👌1👍1🔥1

1 Oct 2026, 09:27 UTC≈1,460 views4 reactionsread 7 November 2026

GPT-6.1 Sol — это обновление от OpenAI, ориентированное на программирование, работу с документами и многоэтапные задачи. Основное преимущество — низкие тарифы на токены, в пять раз дешевле, чем у предыдущей версии GPT-6 Astra. Входные данные стоят $2 за миллион токенов, выходные — $10, а кэшированный ввод — $0,10. Модель превосходит GPT‑6 Sol в разработке ПО и анализе PDF-документов, а также в автоматизации бизнес-пр…

❤3👍1

Showing the 12 most recent of 41 posts we hold for @ai_nox. 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.

Forward network

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

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.

Nano Banana, GPT Images, Veo 3, Midjourney - Новости YES Ai
@yes_ai_official · 97,468
Telegram ranks this channel #1 of 83 here — alongside 82 others — read 22 August 2026
Stable Diffusion News | Нейросети
@StableDiffusionBest · 32,175
Telegram ranks this channel #34 of 84 here — alongside 83 others — read 4 September 2026
TurboText AI. Нейросети
@turbotext_ai · 44,549
Telegram ranks this channel #42 of 80 here — alongside 79 others — read 27 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“Stable Diffusion & СhatGPT & SDXL — Новости” (@ai_nox), 16,543 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/ai_nox.

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.