Канал о сферах CG, Игр и Генератива, все с помощью чего мы генерируем визуальное и интерактивное искусство.
Статистику не предоставляю, смотрите на tgstat.ru
Регистрация в РКН: № 6148197228
mentorcampus.ru
Вопросы и предложения: @Evgeniy_Vegera
Created
22 February 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 11 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.
Growth
56 measurements spanning 92 days, net +186. 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 11,408–11,696 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
6 Nov 2026, 04:19
11,647
-4
5 Nov 2026, 02:01
11,651
+1
4 Nov 2026, 05:25
11,650
+3
3 Nov 2026, 06:39
11,647
+1
2 Nov 2026, 05:17
11,646
-4
1 Nov 2026, 04:07
11,650
-1
31 Oct 2026, 01:31
11,651
-3
30 Oct 2026, 01:27
11,654
+2
29 Oct 2026, 00:21
11,652
-5
28 Oct 2026, 01:01
11,657
+1
25 Oct 2026, 20:05
11,656
-3
24 Oct 2026, 19:20
11,659
-1
23 Oct 2026, 21:10
11,660
-3
21 Oct 2026, 21:28
11,663
+4
19 Oct 2026, 18:59
11,659
+8
18 Oct 2026, 20:21
11,651
+1
17 Oct 2026, 00:38
11,650
+2
16 Oct 2026, 03:16
11,648
-1
15 Oct 2026, 04:37
11,649
+22
14 Oct 2026, 03:56
11,627
first reading
Engagement
67 posts held, back to 15 July 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
26.0%
avg views ÷ 11,647 subscribers
Avg views / post
3,030
23 posts measured
Reaction rate
1.47%
reactions ÷ views · ER floor
Posts in window
23
of 67 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 6 November 2026
Posts held
67 (15 July 2026 – 6 November 2026)
Views total
69,730
Reactions total
1,025
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 19:58 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
≈707
Videos
≈1,480
Links
≈1,880
Lifetime counters from Telegram’s own channel header, read 6 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
44m 22s
Average length
1m 02s
Measured directly from 43 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
2,605 reactions across 66 posts, in 34 distinct kinds. The most used accounts for 29.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
768
29.5%
😁
551
21.2%
❤
303
11.6%
🤣
156
5.99%
custom 5465465194056525619
86
3.30%
🤮
85
3.26%
🤯
77
2.96%
🤔
57
2.19%
🥱
55
2.11%
🤡
52
2.00%
😭
51
1.96%
💩
46
1.77%
😱
40
1.54%
🌚
30
1.15%
🗿
28
1.07%
😐
28
1.07%
👌
24
0.921%
👎
23
0.883%
🫡
23
0.883%
💯
21
0.806%
14 further kinds
101
3.88%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 67 of the 67 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 2,652 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 67 most recent posts we hold, published 15 July 2026 to 6 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
42
across the posts below
Posts paid on
8
of 67 we hold a reading for · 12%
Most on one post
23
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CGIT_Vines. 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 67 most recent posts we hold for this entry, published 15 July 2026 to 6 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.
Advertising
Ad load
2.99%
2 of 67 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
1,380
over 2 measured posts
Median views · rest
3,160
over 65 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2Vtzqv1CdEA
1
31 July 2026
31 July 2026
2VtzqwHQxSi
1
6 November 2026
6 November 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 67 most recent posts we hold, published 15 July 2026 to 6 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 10 of 23 posts held from the last 30 days (43.5%) 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).
Вот к чему я пришел, работая уже несколько лет с ИИ, и особенно в последнее время ловлю себя на этой мысли все чаще!
Ловлю особенно в моментах, когда у меня открыто параллельно 3 проекта: в двух из них агенты ведут работу, в одном я просто пробую прийти к какому-то решению или оптимизации, чтобы запустить новый цикл в агента, и это повторяется из раза в раз.
Иметь несколько фокусов внимания, кажется, одна из особен…
💻 Весь день за компьютером, а до самой работы руки так и не дошли?
Ответить заказчику, собрать правки, заполнить таблицу. А потом ещё написать отчёт о том, куда ушёл день.
Часть этой возни можно отдать Искре: разобрать переписку, собрать задачи, подготовить ответ. Заодно поможет ответить заказчику вежливо, даже на пятый круг правок.
Тексты, документы, таблицы, поиск информации с источниками доступны в одном чате. …
Вслед за электрониками
в портфель к Silver Lake и саудовскому PIF, попадет ещё и Unity Software!
Пока обсуждают выкуп компании примерно за $25 млрд — то есть движок, на котором половина инди-разработчиков когда-то делала «свою первую игру», может вскоре оказаться частью большого портфеля суверенных инвестиций. Что собственно может привести к оптимизации бизнеса, как было с EA так и к изменению ценовой политики.
Ну а…
Я всей своей душой ненавижу GIF файлы, с момента их появления на заре web, это они дали возможность превращать что угодно в интернете в уродливое клоунское конфетти.
Их нельзя было использовать ни как полноценное видео из-за фреймрейта, ни как хорошее изображение из-за ублюдской компрессии.
Спустя время ничего почти не изменилось, кроме того, что его перестали пихать везде на сайты, но на удивление, как сезонный гри…
Очень интересное направление сейчас начинают охватывать модели из-за необходимости взаимодействия с физическим миров, у них все больше знаний будет о том как устроен мир, какие физические свойства есть у объектов, как они ведут себя под воздействием разных сил.
В пример приводят проектирование микросхем, просчет аэродинамики частей корпуса автомобиля, создание и продумывание креплений для носимых устройств и т.д.
В…
Буквально 10 часов назад Andrej Karpathy запилил в Opus 5.5 на среднем усилии свой Ютуб на основе HackerNews.
Меня раздражали рекомендации YouTube, поэтому я попросил Claude отфильтровать 43 миллиона комментариев за 20 лет на HN до 6454 видео, которые постоянно рекомендуются. Так смотреть "гораздо интереснее", ~2 часа с Opus 5.5:
Далее он поднял на VPS свой сайт, попросил Клода зарефакторить, обезопасить, укрепить,…
Я тут записал видосик для тех, кто сейчас в процессе поиска мест работы.
И раз уж я последние пару месяцев не вылезаю из собеседований, правда, со стороны нанимателя, то мне как будто бы есть что сказать, не хотел растягивать видео на полчаса, так что если от вас будет запрос на смежные темы, например, на что смотрят лиды при просмотре портфолио или чего пытаются добиться от соискателей на собесах, пишите, лайкайте,…
Очень интересный Dataset выложила Nvidia - NVIDIA SimReady Assets/
472 гига моделей в количестве 2575 штук с данными для каждого объекта: с весом, материалом, центром тяжести, сценарии применения, - все для обучения Physical AI.
Это сейчас мы сделали объект в мире, расположили его, настроили оптимизацию, поставили свет и считаем, что окружение готово, но в перспективе мы будем стараться делать более правдоподобные …
🔥38❤13🤔3🤯2
Signed Marvin Heemeyer
Showing the 12 most recent of 67 posts we hold for @CGIT_Vines. 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
@CGIT_Vines 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
19 August 2026
Most recent edit
19 August 2026
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 12 registered channels — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@CGIT_Vines named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@kaylousberg named in 4 posts, 8 August 2026 – 11 August 2026
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.
Метаверсище и ИИще @cgevent · 53,530 Telegram ranks this channel #5 of 92 here — alongside 91 others — read 25 August 2026
Not Boring Tech @notboring_tech · 21,103 Telegram ranks this channel #6 of 91 here — alongside 90 others — read 26 September 2026
Технологии | Нейросети | Боты @aiaiai · 174,488 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 12 August 2026
Denis Sexy IT 🤖 @denissexy · 140,405 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 13 August 2026
Tech Crunch @techcrunchru · 16,305 Telegram ranks this channel #13 of 95 here — alongside 94 others — read 5 October 2026
Бурый @sburyi · 20,224 Telegram ranks this channel #19 of 93 here — alongside 92 others — read 4 October 2026
эйай ньюз @ai_newz · 98,218 Telegram ranks this channel #19 of 94 here — alongside 93 others — read 16 August 2026
Neurogen @neurogen_news · 22,899 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 19 September 2026
CG Freelance @cgfreelance · 60,902 Telegram ranks this channel #21 of 86 here — alongside 85 others — read 22 August 2026
e/acc @cryptoEssay · 63,694 Telegram ranks this channel #21 of 96 here — alongside 95 others — read 21 August 2026
Разработка игр 🍄 @progamedev · 23,459 Telegram ranks this channel #22 of 98 here — alongside 97 others — read 18 September 2026
Двоичный кот @binarcat · 30,764 Telegram ranks this channel #22 of 93 here — alongside 92 others — read 9 September 2026
UX Live 🔥 @uxlive · 36,173 Telegram ranks this channel #28 of 86 here — alongside 85 others — read 2 September 2026
Tips AI | IT & AI @tips_ai · 25,767 Telegram ranks this channel #31 of 95 here — alongside 94 others — read 14 September 2026
Силиконовый Мешок @prompt_design · 92,784 Telegram ranks this channel #33 of 96 here — alongside 95 others — read 18 August 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,617 Telegram ranks this channel #35 of 96 here — alongside 95 others — read 18 September 2026
Neural Shit @NeuralShit · 54,647 Telegram ranks this channel #43 of 92 here — alongside 91 others — read 24 August 2026
Миша, давай по новой @misha_davai_po_novoi · 19,105 Telegram ranks this channel #44 of 95 here — alongside 94 others — read 4 October 2026
Ai molodca @strangedalle · 47,590 Telegram ranks this channel #45 of 94 here — alongside 93 others — read 27 August 2026
Работа в геймдеве 🍖 @gamedevjob · 46,115 Telegram ranks this channel #49 of 95 here — alongside 94 others — read 28 August 2026
Нейроновости @neuranews · 19,428 Telegram ranks this channel #55 of 87 here — alongside 86 others — read 30 September 2026
TechSparks @techsparks · 46,767 Telegram ranks this channel #57 of 97 here — alongside 96 others — read 27 August 2026
Sber AI @SberAIScience · 26,546 Telegram ranks this channel #59 of 95 here — alongside 94 others — read 10 September 2026
Lama AI @lama_channel_gpt · 24,085 Telegram ranks this channel #61 of 90 here — alongside 89 others — read 15 September 2026
This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 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.
“CGIT_Vines” (@CGIT_Vines), 11,647 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/CGIT_Vines.
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.