Зарабатываем на ИИ с 2022 года:
- Средний чек наших автоматизаций от 700к.р+
- Делимся готовыми автоматизациями и новостями в сфере ИИ
Связь с администрацией: @incubeai
Чат взаимопомощи : @incubeaichat
ЮТ: https://www.youtube.com/@INCUBEAI
Created
Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 the other topics.
Growth
58 measurements spanning 91 days, net +362. 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 14,370–14,888 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
6 Nov 2026, 18:38
14,828
+12
5 Nov 2026, 16:38
14,816
+13
4 Nov 2026, 15:51
14,803
+7
3 Nov 2026, 16:18
14,796
+2
2 Nov 2026, 13:31
14,794
-6
1 Nov 2026, 14:09
14,800
+6
30 Oct 2026, 19:38
14,794
+19
29 Oct 2026, 19:40
14,775
+3
28 Oct 2026, 20:21
14,772
-3
27 Oct 2026, 20:41
14,775
+5
26 Oct 2026, 18:38
14,770
+4
25 Oct 2026, 14:56
14,766
+2
24 Oct 2026, 12:30
14,764
+3
23 Oct 2026, 13:36
14,761
+7
22 Oct 2026, 15:27
14,754
+10
21 Oct 2026, 08:06
14,744
+15
20 Oct 2026, 05:00
14,729
+14
19 Oct 2026, 03:17
14,715
+8
18 Oct 2026, 01:28
14,707
-1
16 Oct 2026, 21:57
14,708
first reading
Engagement
244 posts held, back to 5 August 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 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.24%
avg views ÷ 14,828 subscribers
Avg views / post
925
48 posts measured
Reaction rate
1.06%
reactions ÷ views · ER floor
Posts in window
48
of 244 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
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
244 (5 August 2026 – 7 November 2026)
Views total
44,399
Reactions total
472
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 17:49 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
≈1,830
Videos
≈1,290
Links
≈2,500
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
42m 51s
Average length
26s
Measured directly from 100 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
1,161 reactions across 235 posts, in 9 distinct kinds. The most used accounts for 62.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
724
62.4%
🔥
241
20.8%
👍
160
13.8%
🤣
15
1.29%
👎
14
1.21%
😱
2
0.172%
🤔
2
0.172%
🥰
2
0.172%
🤯
1
0.086%
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 236 of the 244 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 1,161 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 244 most recent posts we hold, published 5 August 2026 to 7 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
50
across the posts below
Posts paid on
21
of 244 we hold a reading for · 9%
Most on one post
21
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @incubeai_pro. 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 244 most recent posts we hold for this entry, published 5 August 2026 to 7 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 48 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).
ХАЛЯВА для 3D-художников и разработчиков игр — Epic Games открывает всю библиотеку 3D-ассетов Quixel Megascans бесплатно
Это больше 20 тысяч фотореалистичных 3D-моделей, текстур и материалов, которые подойдут для создания игровых миров и визуализаций. Постепенно все они станут бесплатными к 12 ноября.
Тем, кто покупал ассеты начиная с января 2025 года, Epic Games вернёт деньги (!!) на баланс. Кроме того, компания р…
OpenAI опубликовали официальный гайд по GPT Image 2.6 с готовыми промтами почти под любые задачи.
В нём разбирают всё — от фотореалистичных снимков до логотипов, комиксов, инфографики, макетов приложений и гифок.
Отдельный раздел посвящён тому, как переодевать людей на фото, удалять лишние объекты и переводить надписи на изображениях, не ломая дизайн.
Изучаем тут.
INCUBE.AI | ПОДПИСАТЬСЯ
OpenAI представили модель, которая обнаружила тысячу уязвимостей в Linux
https://openai.com/index/introducing-gpt-6-cyber/
На ExploitGym она показала результат 48,5%: для сравнения, у GPT-5.6 Cyber было 32,1%, то есть относительный прирост составил примерно 51%.
Помимо Linux, модель также помогла найти более 80 новых критических уязвимостей в Firefox. Кроме того, ее используют Mozilla, Cisco, Palo Alto и другие.
…
В Telegram появились веб-виджеты: теперь боты могут отправлять интерактивные сообщения с поддержкой HTML и JavaScript.
Внутри такого сообщения запускается мини-сайт: это может быть игра, калькулятор, опрос или график. Отправлять такие сообщения могут только боты, а пересылать — куда угодно.
Инструкцию для разработчиков с готовым промптом для нейросетей уже опубликовали. Вайбкодеры, забираем по ссылке.
INCUBE.AI | …
🚀 Выложили SWE-rebench V2.1 RL: 13 337 бесплатных RL-сред для обучения кодинг-агентов. Это задачи из реальных GitHub-репозиториев на 20 языках, в формате Harbor
Зачем это нужно. В RL модель многократно решает одну и ту же задачу и учится на разнице между успешными и неудачными попытками. Если задача сломана — например, тесты не совпадают с описанием, окружение не запускается или ответ утекает в Docker-образ, — модел…
Krea AI показали свой агентский видеопайплайн на базе Krea MCP, Figma и автономного управления Adobe After Effects
Инженерная команда Krea AI представила архитектуру для монтажа, где связка Claude, серверов Krea MCP и специализированных агентов берет на себя весь процесс — от раскадровки в Figma до итоговой анимации в Adobe After Effects.
На первом шаге Claude через Krea MCP создает и размещает визуальную раскадров…
Авториг?, ну, для риггеров и сетаперов?!
Hyper3D (Deemos) представили систему автоматического риггинга 3D-моделей с возможностью править скелет через текстовые промпты.
На платформе Hyper3D появился инструмент HYPER3D Rigging, который сам строит скелет для 3D-моделей и позволяет менять его с помощью текстовых команд.
Система умеет автоматически размечать скелет не только у гуманоидов, но и у животных, а также у не…
Вот это дико круто (для гиков): Google Antigravity добавила нативную поддержку Jupyter Notebook (.ipynb) во встроенный просмотрщик файлов
Antigravity выпустила обновление среды агентной разработки с нативной поддержкой интерактивных блокнотов Jupyter Notebook. Файлы формата .ipynb теперь открываются и отображаются прямо во встроенном окне просмотра файлов, без необходимости переключаться на внешние инструменты.
Вст…
Tripo представила агентную среду Tripo Agentic Canvas для автоматизации 3D-пайплайнов под Unreal Engine и 3D-печать
В Tripo Studio добавили режим Tripo Agentic Canvas — визуальную рабочую среду со встроенным ИИ-агентом, который сам выстраивает план, связывает шаги в цепочки и выполняет многоэтапные задачи 3D-производства.
На одном холсте агент собирает полный граф обработки — от концепта до итогового экспорта. В де…
ChatGPT теперь умеет создавать гифки: OpenAI представили Images 2.6 — новую модель для генерации изображений.
Она оживляет любые картинки — от фото товара до мемов. Анимировать можно даже набросок, сделанный ручкой на тетрадном листе. Скорость стала выше на 50%, а персонажи не меняются от одной правки к другой.
Уже доступно всем пользователям. Тестим тут.
INCUBE.AI | ПОДПИСАТЬСЯ
Забираем 100 ТЫСЯЧ 3D-моделей для Claude Code и Codex — Sandflow выложили библиотеку Sand3D, где каждый объект описан коротким Python-файлом, понятным нейронкам.
Там есть вообще всё: мебель, светильники, автомобили, игрушки, музыкальные инструменты и детали механизмов. На одну модель уходит примерно 300-400 строк кода.
Что по фишкам:
• Хотите стол выше или колесо шире — меняете одну цифру, и модель сразу перестраи…
Meshy превращает фотографию в рельеф для 3D-печати
Meshy представила инструмент, который создаёт объёмный рельеф по одному снимку. Компания показала процесс от загрузки изображения до готовой печати и уточнила, что инструмент уже доступен всем пользователям.
У рельефа остаётся плоская задняя сторона. В режиме Low Relief элементы слегка поднимаются над основанием и подходят для табличек и бирок. High Relief сильнее …
❤15
Showing the 12 most recent of 244 posts we hold for @incubeai_pro. 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
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
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Руслан Гамзатов | AI маркетинг @AIGamzatov · 34,009 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 8 September 2026
Арон Закрия @aironzak · 118,347 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 3 September 2026
Канал Игоря Зуевича @zuevichigor · 39,741 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 30 August 2026
Смотри, Морозов и ИИ @mmmorozov · 62,860 Telegram ranks this channel #3 of 96 here — alongside 95 others — read 23 August 2026
Беляк про нейросети @belyakAi · 31,322 Telegram ranks this channel #4 of 91 here — alongside 90 others — read 7 September 2026
Нейро Ликбезик | Кирилл Безиков @kirillbezikov · 19,946 Telegram ranks this channel #5 of 96 here — alongside 95 others — read 29 September 2026
Нейроконцентрат | нейросети, технологии @AIConcentrate · 30,621 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 6 September 2026
ИИ Представляет @iirepresent · 116,015 Telegram ranks this channel #6 of 86 here — alongside 85 others — read 23 August 2026
NEIROSETKIN @neirosetkin · 19,926 Telegram ranks this channel #8 of 89 here — alongside 88 others — read 28 September 2026
Егор Кузьмин XR @EgorKuzminxr1 · 21,328 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 23 September 2026
Новости РИА Live @novosti_ria · 29,419 Telegram ranks this channel #13 of 50 here — alongside 49 others — read 6 September 2026
Илья Филиппов. Лаборатория нейросетей @moremarketingisaid · 23,060 Telegram ranks this channel #17 of 89 here — alongside 88 others — read 18 September 2026
Анжела Петкова | ИИ на практике @anjela_p · 78,909 Telegram ranks this channel #17 of 93 here — alongside 92 others — read 22 August 2026
Serge_AI 1.0 @serge_ai · 56,484 Telegram ranks this channel #21 of 99 here — alongside 98 others — read 23 August 2026
Промты для нейросетей @iidlyabi · 22,292 Telegram ranks this channel #27 of 87 here — alongside 86 others — read 20 September 2026
AI Университет @neural_university_webinar · 37,068 Telegram ranks this channel #30 of 96 here — alongside 95 others — read 31 August 2026
kurchanov_prod @kurchanov_prod · 1 Telegram ranks this channel #34 of 83 here — alongside 82 others — read 8 September 2026
Бойкий Шухрат @BoykiyM · 21,268 Telegram ranks this channel #36 of 63 here — alongside 62 others — read 23 September 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 59,214 Telegram ranks this channel #37 of 95 here — alongside 94 others — read 22 August 2026
ChatPlace @chatplaceio · 55,639 Telegram ranks this channel #39 of 85 here — alongside 84 others — read 25 August 2026
NeuroADEPT @neuroadepts · 40,447 Telegram ranks this channel #42 of 85 here — alongside 84 others — read 29 August 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 77,625 Telegram ranks this channel #42 of 94 here — alongside 93 others — read 29 August 2026
Артем Кей @artemmkey · 31,031 Telegram ranks this channel #66 of 84 here — alongside 83 others — read 6 September 2026
This channel appears in 24 seed channels' Telegram-generated recommendation lists in total, of which the 23 where it ranks highest are shown above. 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“INCUBE.AI | Нейросети и не только” (@incubeai_pro), 14,828 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/incubeai_pro.
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.