👁 Новости про ИИ, лайфхаки по нейросетям и промокоды для сервиса
Открыть сервис: ask.chadgpt.ru/
Дать буст: t.me/chadgpt_ru?boost
Дзен: dzen.ru/chad_ai
РКН: clck.ru/3NuEFV
Created
Between 1 October 2022 and 30 September 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-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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
33 measurements spanning 43 days, net +2,508. 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 135,393–138,756 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 16:22
138,289
-79
17 Sept 2026, 07:20
138,368
+480
15 Sept 2026, 09:57
137,888
+298
13 Sept 2026, 18:58
137,590
+483
12 Sept 2026, 01:19
137,107
+267
9 Sept 2026, 14:37
136,840
+382
6 Sept 2026, 06:17
136,458
-401
4 Sept 2026, 02:37
136,859
-203
2 Sept 2026, 15:35
137,062
-311
1 Sept 2026, 17:16
137,373
+66
31 Aug 2026, 19:44
137,307
+58
30 Aug 2026, 23:04
137,249
+45
29 Aug 2026, 23:13
137,204
+12
28 Aug 2026, 21:18
137,192
-780
27 Aug 2026, 19:53
137,972
+202
26 Aug 2026, 17:37
137,770
+97
25 Aug 2026, 15:43
137,673
+109
24 Aug 2026, 17:57
137,564
+254
23 Aug 2026, 04:07
137,310
+261
21 Aug 2026, 13:24
137,049
first reading
Engagement
15 posts held, back to 23 April 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 97 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.8%
avg views ÷ 138,289 subscribers
Avg views / post
19,100
6 posts measured
Reaction rate
0.397%
reactions ÷ views · ER floor
Posts in window
6
of 15 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 17 September 2026
Posts held
15 (23 April 2026 – 17 September 2026)
Views total
114,300
Reactions total
454
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 20:39 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
651
Videos
101
Links
168
Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
9s
Average length
9s
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
1,202 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 49.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
594
49.4%
🔥
196
16.3%
👍
195
16.2%
⚡
98
8.15%
😁
38
3.16%
😍
30
2.50%
👀
25
2.08%
🤯
21
1.75%
🤔
5
0.416%
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 15 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 1,202 reactions 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 23 April 2026 to 17 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
16
across the posts below
Posts paid on
7
of 15 we hold a reading for · 47%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @chadgpt_ru. 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 15 most recent posts we hold for this entry, published 23 April 2026 to 17 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.
Как собрать ванпейджер с помощью ИИ: пошаговый гайд для бизнеса
В прошлом посте мы разобрались, почему ванпейджеры важны для бизнеса и какие задачи они закрывают. Теперь пришло время научиться их создавать.
Команда @chad специально подготовила универсальный ванпейджер с коммерческим предложением для вымышленного маркетингового агентства, чтобы показать, какой результат может получиться благодаря ИИ.
⬆️ В карточках…
😀 GPT Image 2.5 — новая имба для генерации картинок🔥
Две версии на выбор: Flare — когда нужно быстро, Sunburst — когда важны детали.
Главная фишка — редактирование готовых изображений. Переодеть персонажа, заменить фон или добавить объект в кадр — с сохранением внешности, света и композиции.
Можно точнее описать, что поменять, а что оставить: «Перенеси персонажа в другую локацию, сохрани его форму и выражение лица…
В камине в 6 утра? Нет, блин. GPT 6 в chad 😳😙👍
😀 GPT-6 Astra — новая модель OpenAI, которую Грег Брокман называет первой моделью «эпохи общего ИИ». Так называемый AGI.
Она лучше работает с документами: точнее сохраняет стиль и шаблоны, понимает контекст и может вытащить главное из огромного текста.
В кодинге GPT-6 находится примерно на уровне Fable 5 и Claude Opus 5. А по общему интеллекту чуть уступает Fable 5.1.…
📅 3 сентября? нет, блин 3.8 Gemini Flash от Google 😁
Умнее прошлой версии. Быстрая, как пролетевшие летние деньки... 🍂
Она стала гораздо лучше писать сложные программы, научное знание на уровне самых дорогих флагманов. Стоимость не поменялась.
Вышла пару часов назад, а вы можете попробовать ее у нас в сервисе
😃 Claude Fable 5.1 — в chad
Гонка мощных моделей не сбавляет темп. Anthropic обновила свою самую мощную модель: Fable 5.1 вышла всего через три месяца после Fable 5 — и снова поднимает планку
Модель создана для по-настоящему сложных задач: она может часами автономно работать над кодом — вести большие рефакторинги, отлаживать и сама восстанавливаться после ошибок, а также проводить глубокие исследования, докапываясь…
Добавили агентное поведение, 3 видеомодели, снизили цены на gpt, теперь переносим искры
⭐️ Gemini Omni Flash от Google. Генерирует видео из текста и картинок, а главная фишка — редактирование готового видео просто в диалоге: попросите поменять фон, свет или обьект. Сохраняет персонажей консистентными между правками.
😍 Seedance 2.5 от ByteDance и одна из сильнейших на рынке. Обновили работу с модерацией, теперь проп…
😗 chad для команд и бизнеса
📊 Один кабинет на компанию
Юрлицам — оплата по счёту, закрывающие через ЭДО. Каждому сотруднику можно задать лимит и необходимые модели. В дашборде видно расходы по дням и по людям, отчёт выгружается в Excel одной кнопкой. Данные шифруются, на ваших запросах модели не учатся.
🎛 Доступны все модели
Отдельный экран настроек: текст, картинки, видео, аудио, презентации. Включаете то, что нуж…
😃 Добавили Claude Opus 5 (и не только)
Дешевле чем Fable 5 и почти во всех аспектах опережает её, и на голову выше, чем Opus 4.8
Для запросов попроще вышло продолжение в дешевой и сердитой линейке Gemini — Flash 3.6 😁
Ну а если работу надо было сделать ещё вчера — Gemini 3.5 Flash Lite к вашим услугам 😁
Заходите пробовать 🤪
😘 Добавили Kimi K3 и Grok Imagine Image
👻 Kimi K3 — новая модель от Moonshot AI, которая заняла первое место в арене моделей для кода, обойдя Fable 5 и GPT-5.6 Sol. Прыжок сразу с 18-го места на 1-е.
💻 Заточена под программирование и вайбкодинг — уверенно пишет, дорабатывает и чинит код, лучше всех справилась с фронтендом в 6 из 7 категорий
🧠 Контекст на 1 млн токенов — держит в голове целые проекты, от вёрстки са…
Нам важно, чтобы забота о старшем поколении становилась проще и доступнее. В этом могут помочь современные технологии, поэтому мы совместно с нашими друзьями из chad собрали шесть идей, как с помощью нейросетей удивить и порадовать пожилых людей.
1️⃣ Оживить старую фотографию
Я загружу старую семейную фотографию. Преврати ее в короткое реалистичное видео.
Сохрани лица, возраст, одежду, фон и атмосферу оригинального…
😘 Добавили GPT-5.6, Fable 5 и другие модели
😀 GPT 5.6: Sol, Terra, Luna
Ответ от OpenAI на Fable 5 и местами даже мощнее: по агентскому кодингу Sol обошёл флагман антропиков, при этом тратит вдвое меньше токенов. Sol — самая умная, для кода, ресерча и длинных задач. Terra — середина: примерно уровень GPT-5.5, но в два раза дешевле. Luna — самая быстрая, для саммари и рутины.
Релиз был непростым: сначала модели по …
Добавили и GLM-5.2 и Midjourney v8.1
😆 Midjourney v8.1 — новая версия генератора изображений.
🖼 Создание фото в разрешении: 1024×1024
⚡️ Стоимость генерации 8800 искр за 4 кадра
✍️ Генерация в 2-3 раза быстрее предыдущих версий. Лучше рисует текст и выдаёт более качественную, связную картинку
🥸 GLM-5.2 — мощная модель от Z.ai заточенная под код, доступна в сервисе и в API 2.0
💻 Сильна в сложной разработке, дебаге и…
❤48👍17😁12🔥11👀2
Showing the 12 most recent of 15 posts we hold for @chadgpt_ru. 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.
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.
Hi, AI • Новости технологий @hiaimedia · 2,644,747#1
Read from Telegram’s recommendation API, most recently 27 August 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.
PulseGPT | Новости, нейросети, гайды @Pulse_GPT · 45,345 Telegram ranks this channel #7 of 73 here — alongside 72 others — read 27 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“chad” (@chadgpt_ru), 138,289 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/chadgpt_ru.
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.