Нейроконцентрат - канал для тех, кто хочет быть на «ты» с нейросетями.🤖
Клуб с обучением нейросетям: https://t.me/pay_aiqclub_bot
Уроки по нейрофото и нейровидео, эфиры с экспертами, конкурсы с брендами, поддержка куратора и раз
Контакты: @igor_babko
Created
Between 1 April 2023 and 31 October 2023 — 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 9 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 why it has no browse page of its own yet.
Growth
32 measurements spanning 42 days, net -200. 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 30,860–31,169 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 02:19
30,933
+8
15 Sept 2026, 18:56
30,925
+29
14 Sept 2026, 01:58
30,896
-13
12 Sept 2026, 09:20
30,909
-135
10 Sept 2026, 05:37
31,044
+36
7 Sept 2026, 02:17
31,008
+3
4 Sept 2026, 12:17
31,005
+30
2 Sept 2026, 20:15
30,975
+7
1 Sept 2026, 17:26
30,968
-6
31 Aug 2026, 14:44
30,974
-14
30 Aug 2026, 18:13
30,988
+22
29 Aug 2026, 15:14
30,966
-14
28 Aug 2026, 17:03
30,980
-30
27 Aug 2026, 15:13
31,010
-3
26 Aug 2026, 15:53
31,013
+7
24 Aug 2026, 18:27
31,006
+30
23 Aug 2026, 04:46
30,976
-15
20 Aug 2026, 18:03
30,991
+16
19 Aug 2026, 16:37
30,975
-7
18 Aug 2026, 18:45
30,982
first reading
Engagement
40 posts held, back to 4 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 67 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.84%
avg views ÷ 30,933 subscribers
Avg views / post
1,500
17 posts measured
Reaction rate
1.68%
reactions ÷ views · ER floor
Posts in window
17
of 40 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 15 September 2026
Posts held
40 (4 August 2026 – 15 September 2026)
Views total
25,450
Reactions total
428
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Sept 2026, 20:14 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
≈1,040
Videos
≈627
Links
≈569
Lifetime counters from Telegram’s own channel header, read 21 September 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
18m 29s
Average length
38s
Measured directly from 29 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
831 reactions across 40 posts, in 23 distinct kinds. The most used accounts for 43.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
363
43.7%
🔥
311
37.4%
👍
59
7.10%
😍
22
2.65%
👏
12
1.44%
❤🔥
10
1.20%
👌
7
0.842%
💔
6
0.722%
😢
6
0.722%
😁
5
0.602%
🙏
5
0.602%
🤝
4
0.481%
😘
3
0.361%
🤩
3
0.361%
🥰
3
0.361%
🍌
2
0.241%
🏆
2
0.241%
👀
2
0.241%
🤯
2
0.241%
🍾
1
0.12%
3 further kinds
3
0.361%
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 40 of the 40 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 831 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 4 August 2026 to 15 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
12
across the posts below
Posts paid on
4
of 40 we hold a reading for · 10%
Most on one post
9
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AIConcentrate. 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 40 most recent posts we hold for this entry, published 4 August 2026 to 15 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.
С выходом нового инструмента Genjutsu появилась возможность красиво менять внешность и видео в любом исходнике.
Попробуйте себя в качестве героя любимого фильма, получится реалистично и красиво.
Достаточно загрузить кусочек с видео, в котором вы хотите быть, а также ваше фото.
В самом инструменте уже есть много трендовых шаблонов.
Попробовать можно ➡️ тут
Нейросеть называется Genjutsu.
Готовая подборка команд для красивых фото в ChatGPT 📋
Загрузи в ChatGPT свою фотографию и напиши одну из этих команд — нейросеть преобразит её в выбранном стиле.
/cinematicPortrait — кинематографичный портрет с глубиной кадра и мягким контрастом
/paparazziFlash — яркая прямая вспышка, спонтанный снимок знаменитости
/editorialFashion — стиль модного журнала или рекламной кампании модного бренда
/streetPhotography — …
ELEVENMUSIC ОБНОВИЛА МОДЕЛЬ ГЕНЕРАЦИИ МУЗЫКИ 🎵
ElevenLabs выпустила Music v2.5 — новую основную модель для генерации музыки в ElevenMusic.
Что изменилось:
🔵 инструменты звучат натуральнее;
🔵 композиции стали более многослойными и сложными;
🔵 модель лучше удерживает структуру и развитие трека от начала до конца;
🔵 улучшилось следование промпту;
🔵 особенно заметно выросло качество R&B, soul, hip-hop, rock, metal, or…
SUNO ПРЕДСТАВИЛА НОВОЕ ПОКОЛЕНИЕ V6
Suno выпустила v6 — новое поколение моделей для создания музыки с более точным управлением генерацией и редактированием треков.
Теперь в линейке сразу три модели:
🔵 v6 — основная модель для Pro и Premier. Более точная, предсказуемая и рассчитанная на создание готовых треков в разных жанрах.
🔵 v6-wild — экспериментальная версия для Pro и Premier. Генерирует более неожиданные, ва…
Сервис, который превращает часовое интервью в готовый текст с задачами за пару минут 🎙➡️🗒
Делюсь с вами удобным сервисом для тех, у кого постоянно копятся подкасты, вебинары, интервью и длинные видео, которые проще прочитать, чем смотреть целиком.
Whisper AI расшифровывает аудио 🎤 и видео 📹 в текст 🗒 без лимитов ♾️ и поддерживает файлы длительностью больше 6️⃣ часов. Можно просто скинуть ссылку с YouTube, VK, Rutub…
ВЫШЛА CHATGPT IMAGES 2.5
OpenAI выпустила ChatGPT Images 2.5 — обновлённую модель для генерации и редактирования изображений.
Главное изменение — более управляемая работа с готовым визуалом.
Что нового:
🔵 Модель лучше сохраняет внешность людей и характерные детали объектов при работе с референсами.
🔵 Точнее редактирует отдельные элементы изображения. Можно заменить объект, фон, текст или другую деталь, при этом …
Потратил 10 000р на генерацию этого ИИ ролика в Seedance 2.5 для конкурса от Syntx. Кто тоже участвовал?
А что, если однажды технологии смогут вернуть тебе не просто старую фотографию - а целое воспоминание?
Кажется, впервые мне хотелось показать не то, насколько далеко зашли нейросети. А то, ради чего они вообще могут быть нужны.
Работа:
«Запомни меня такой»
@AIConcentrate
Жена заставила реализовать ее идею в нейросети, и вот что вышло. Работу отправили на конкурс Syntx. В других соцсетях под этим видео плачут, а вам как?
Сделал за 2 часа, отправил работу за 3 минуты до окончания приема работ🙈
@AIConcentrate
🍓 Как сделать такой пролет в любом городе и локации в 1 нейросети. Инструкция ⬇️
В этой нейросети можно сгенерировать пролет из космоса до конкретной фотографии. Особенно это интересно для бизнесов (Не стесняйтесь им предлагать). Видел в Тредс, как просили сделать такое видео владельцы стоматологий и кафе. В целом, почти для любого бизнеса подойдет.
✨ Подготовительный этап
1️⃣ Выбираем конечное фото
2️⃣ Закидыва…
Каждый раз с предвкушением жду результатов генераций в новой Seedance 2.5 🔥
Ощущается так, будто у этой нейросети палитра эмоций уже больше, чем у многих людей. Она может сыграть настоящую ярость, злость, радость, разочарование и практически любую другую эмоцию. Как по мне, она уже играет на уровне среднего актёра.
Есть моменты с морганием, если не прописывать его в промпте, косяки с русской речью, не стопроцентное…
MIDJOURNEY ЗАПУСТИЛА V8.2 EDIT ДЛЯ РЕДАКТИРОВАНИЯ ИЗОБРАЖЕНИЙ
Midjourney начала тестирование первой модели редактирования изображений на базе V8.2.
Теперь изображение можно загрузить в Midjourney и просто описать текстом, что именно нужно изменить.
Что умеет V8.2 Edit:
🔵 редактировать изображения по текстовой инструкции;
🔵 использовать до 4 изображений-референсов одновременно — этот механизм заменяет Omni Refere…
MAGNIFIC ВЫПУСТИЛ DESKTOP-ПРИЛОЖЕНИЕ 🖥
Magnific теперь можно использовать как отдельное приложение на macOS и Windows, без постоянной работы через браузер.
И это не просто отдельное окно для сайта. В Magnific Desktop добавили несколько удобных функций именно для рабочего процесса:
🔵 папка на компьютере может работать как проект Magnific: созданные материалы автоматически появляются в ней, а файлы, которые вы добав…
👍8❤3👀2
Showing the 12 most recent of 40 posts we hold for @AIConcentrate. 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
@AIConcentrate edited 1 post 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
8 August 2026
Most recent edit
8 August 2026
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
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Архитектор Брендов • Ильяна Левина @ilyana_levina · 11,139#95
Read from Telegram’s recommendation API, most recently 6 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Беляк про нейросети @belyakAi · 30,746 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 7 September 2026
Илья Палий @mirneyrosetey · 34,468 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 3 September 2026
Руслан Гамзатов | AI маркетинг @AIGamzatov · 29,875 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 8 September 2026
Арон Закрия @aironzak · 121,041 Telegram ranks this channel #4 of 80 here — alongside 79 others — read 3 September 2026
Смотри, Морозов и ИИ @mmmorozov · 61,416 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 23 August 2026
ИИ Представляет @iirepresent · 120,362 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 23 August 2026
SYNTX FAMILY @syntxfamily · 323,728 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 22 August 2026
Илья Филиппов. Лаборатория нейросетей @moremarketingisaid · 23,300 Telegram ranks this channel #14 of 89 here — alongside 88 others — read 18 September 2026
Ринат Шакиров | Промпты для Midjourney | ChatGPT | @dailyprompts · 42,650 Telegram ranks this channel #30 of 91 here — alongside 90 others — read 29 August 2026
Serge_AI 1.0 @serge_ai · 57,484 Telegram ranks this channel #35 of 99 here — alongside 98 others — read 23 August 2026
ALPI Creators @creaitors_ua · 25,300 Telegram ranks this channel #40 of 77 here — alongside 76 others — read 14 September 2026
Артем Кей @artemmkey · 31,390 Telegram ranks this channel #51 of 84 here — alongside 83 others — read 6 September 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 40,932 Telegram ranks this channel #52 of 94 here — alongside 93 others — read 29 August 2026
Ксения Баранова | PRO ИИ-технологии🔥 @xb_prosmm · 64,175 Telegram ranks this channel #52 of 92 here — alongside 91 others — read 22 August 2026
Анжела Петкова | ИИ на практике @anjela_p · 77,619 Telegram ranks this channel #59 of 93 here — alongside 92 others — read 22 August 2026
NeuroADEPT @neuroadepts · 41,375 Telegram ranks this channel #60 of 85 here — alongside 84 others — read 29 August 2026
Мир нейросетей - новости, обучение и заработок @pro_ai_novosti · 50,517 Telegram ranks this channel #61 of 90 here — alongside 89 others — read 25 August 2026
Киселёва тут | AI • режиссура • портфолио @kiselevatut · 23,096 Telegram ranks this channel #62 of 84 here — alongside 83 others — read 19 September 2026
ChatPlace @chatplaceio · 53,062 Telegram ranks this channel #69 of 85 here — alongside 84 others — read 25 August 2026
Канал Игоря Зуевича @zuevichigor · 39,591 Telegram ranks this channel #72 of 91 here — alongside 90 others — read 30 August 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 58,897 Telegram ranks this channel #73 of 95 here — alongside 94 others — read 22 August 2026
AI Университет @neural_university_webinar · 37,547 Telegram ranks this channel #81 of 96 here — alongside 95 others — read 31 August 2026
This channel appears in 22 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Нейроконцентрат | нейросети, технологии” (@AIConcentrate), 30,933 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/AIConcentrate.
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.