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 why it has no browse page of its own yet.
Growth
33 measurements spanning 44 days, net +113. 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 11,419–11,607 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 15:21
11,574
-2
16 Sept 2026, 07:42
11,576
-7
14 Sept 2026, 10:37
11,583
+1
12 Sept 2026, 18:00
11,582
-3
10 Sept 2026, 17:36
11,585
+39
7 Sept 2026, 15:59
11,546
+4
4 Sept 2026, 15:41
11,542
-1
3 Sept 2026, 02:05
11,543
-4
1 Sept 2026, 22:04
11,547
-1
31 Aug 2026, 21:55
11,548
-4
30 Aug 2026, 22:36
11,552
-1
29 Aug 2026, 20:54
11,553
+1
29 Aug 2026, 00:26
11,552
+12
27 Aug 2026, 23:25
11,540
+12
26 Aug 2026, 20:15
11,528
+22
25 Aug 2026, 18:03
11,506
+17
24 Aug 2026, 17:35
11,489
+48
23 Aug 2026, 02:47
11,441
-6
21 Aug 2026, 17:37
11,447
-3
19 Aug 2026, 14:42
11,450
first reading
Engagement
44 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 45 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
41.0%
avg views ÷ 11,574 subscribers
Avg views / post
4,740
7 posts measured
Reaction rate
0.783%
reactions ÷ views · ER floor
Posts in window
7
of 44 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 2 September 2026
Posts held
44 (15 July 2026 – 2 September 2026)
Views total
33,210
Reactions total
260
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 23:42 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
Video runtime
36m 45s
Average length
1m 07s
Measured directly from 33 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
1,580 reactions across 43 posts, in 32 distinct kinds. The most used accounts for 28.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
446
28.2%
😁
335
21.2%
❤
174
11.0%
🤣
137
8.67%
🤮
70
4.43%
custom 5465465194056525619
51
3.23%
💩
44
2.78%
🤔
41
2.59%
🤡
40
2.53%
😱
35
2.22%
🤯
31
1.96%
🌚
23
1.46%
🫡
20
1.27%
😭
19
1.20%
💊
14
0.886%
💯
12
0.759%
🥱
12
0.759%
👌
11
0.696%
🤨
10
0.633%
👀
9
0.57%
12 further kinds
46
2.91%
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 44 of the 44 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 1,627 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 15 July 2026 to 2 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
6
of 44 we hold a reading for · 14%
Most on one post
7
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 44 most recent posts we hold for this entry, published 15 July 2026 to 2 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.
Advertising
Ad load
2.27%
1 of 44 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
2,410
over 1 measured post
Median views · rest
3,020
over 43 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
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 44 most recent posts we hold, published 15 July 2026 to 2 September 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.
Впечатляющая работа от World Labs
Работает так, что соединяет данные с разных источников и пытается реконструировать сцену в трехмерном представлении. К примеру, данное видео было снято одним дублем с трех мобильных телефонов. Далее все сгружено в модель которая реконструировала сцену и дала возможность полетать камерой по заданной траектории, записать дополнительные секвенции и получить новые кадры.
Модель сама до…
Кто там спрашивал, а как DLSS5 будет выглядеть с аниме гачами?
В общем, за выходные увидел очень много трясущихся людей "хахаах это слоп фильтр для лиц".
Если кто копнул чуть дальше смешных видосиков, то в целом смог увидеть, что там очень много параметров настройки, и нарулить можно будет по своему вкусу. С одного конца будут разработчики, с другого, вы со своим вкусом. Всем на релизе выдадут достаточно параметров …
Немного предыстории наполнения сегодняшних пабликов сливами работы DLSS5.
В ранней версии NBA 2K27 были найдены файлы, активирующие технологию нейронного рендеринга. Когда моддеры поняли, что нашли, понесли тестировать все это в другие игры. И тут выяснилось, что если поколдовать с библиотеками, то можно запустить все это на 4 серии карточек Nvidia. А я прям помню, как писал про такую возможность только на анонсе DL…
Господа! Я в такую зловещую долину давно не проваливался!
Это и круто, и крипово одновременно!
Уровень работы аниматоров и технология блендов и движковой анимации ВНЕЗАПНО становятся настолько же архаичными, как дриопитеки.
Запомните этот твит, я вам скоро покажу, как выглядит GTA6+DLSS5 😮
Я тут как-то задумался на счёт землетрясений в связи с тем, что количество их, как может показаться, увеличилось по всему миру. Ну и живу я не в Японии, конечно, но на довольно подвижной плите.
Кто-то, может, помнит прошлогоднюю тряску в Бангкоке, в общем, я ее тоже ощущал. Приятного мало.
Ну и в итоге, я решил посчитать с GPT вероятность того, что я погибну при тряске. Закинул кучу данных, насчитал он мне 99.999%, …
Нравится вам это или нет, но на сегодняшний день, это самый эффективный способ бегать на максимальной скоростью.
"Аниме девочка, в расстроенных чувствах опаздывающая в школу"
@CGIT_Vines
Есть такая игра в стиме Turing Complete, в ней пошагово можно разобраться в устройстве работы низкоуровневых языков программирования и в итоге даже написать своей процессор.
Angaisb_ подключил к этой игре Codex Sol 5.6 и накодил виртуальный CPU и смог запустить сначала Space Invaders, потом Minecraft и потом по традиции Doom!
Отдельное удовольствие смотреть паутину графов! По Doom кину в комменты/
@CGIT_Vines
У Журнала 8БИТ вышло несколько постов с геймдев-подборками.
Есть игры, где можно виртуально открыть свою геймдев-студию и попробовать себя в роли продюсера. Также собран список неплохих движков: от очевидных вариантов до менее попсовых инструментов, на которых можно собрать прототип или джемовую игру.
В общем, в канале не глубинный техдок, а нормальные короткие материалы для тех, кто хочет поиграть, выбрать и что-т…
Из нижнего интернета принес совсем нишевую историю про процедурное моделирование с помощью ИИ агентов.
Есть разрозненное сообщество, чем-то напоминающее демо сцену нулевых, где ребята собираются и пилят модели на новом уровне, и на самом деле некоторые примеры довольно впечатляющие!
Прикол такого моделирования в том, что, во-первых, оно собирается исключительно агентами, во-вторых, модели собираются из примитивов, в…
Не могу не рассказать про этот бэнгер.
"Niu Lai" или "Бычок Лай" - китайский мульт, который сняли мама с сыном, потратив на это 5 лет своей жизни и 200 баксов.
В итоге, когда фильм вышел, он завирусился в сети и поначалу набрал массу хейта, но хороших людей все же больше, и потом ситуация начала выравниваться, а после того, как это произведение вышло в кино, многие захотели посмотреть на него вживую и начали покупа…
Я уверен, что, когда мы или наши потомки обмажемся сверху донизу ИИшкой и вайб-гемингом, будем не раз еще вспоминать эту нашу эпоху нелепую, корявую и хромую с GPU костылями и удивляться, как этот вид придумал столько хитрых решений, которые мы с нейроимплантами используем и по сей день.
@CGIT_Vines
❤17😁8🔥5
Signed Marvin Heemeyer
Showing the 12 most recent of 44 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 11 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 · 52,361 Telegram ranks this channel #5 of 92 here — alongside 91 others — read 25 August 2026
Технологии | Нейросети | Боты @aiaiai · 176,423 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 12 August 2026
Denis Sexy IT 🤖 @denissexy · 137,325 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 13 August 2026
эйай ньюз @ai_newz · 96,889 Telegram ranks this channel #19 of 94 here — alongside 93 others — read 16 August 2026
Neurogen @neurogen_news · 22,930 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 19 September 2026
CG Freelance @cgfreelance · 60,439 Telegram ranks this channel #21 of 86 here — alongside 85 others — read 22 August 2026
e/acc @cryptoEssay · 62,598 Telegram ranks this channel #21 of 96 here — alongside 95 others — read 21 August 2026
Разработка игр 🍄 @progamedev · 23,494 Telegram ranks this channel #22 of 98 here — alongside 97 others — read 18 September 2026
Двоичный кот @binarcat · 30,854 Telegram ranks this channel #22 of 93 here — alongside 92 others — read 9 September 2026
UX Live 🔥 @uxlive · 35,985 Telegram ranks this channel #28 of 86 here — alongside 85 others — read 2 September 2026
Tips AI | IT & AI @tips_ai · 25,376 Telegram ranks this channel #31 of 95 here — alongside 94 others — read 14 September 2026
Силиконовый Мешок @prompt_design · 85,657 Telegram ranks this channel #33 of 96 here — alongside 95 others — read 18 August 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,400 Telegram ranks this channel #35 of 96 here — alongside 95 others — read 18 September 2026
Neural Shit @NeuralShit · 53,680 Telegram ranks this channel #43 of 92 here — alongside 91 others — read 24 August 2026
Ai molodca @strangedalle · 46,847 Telegram ranks this channel #45 of 94 here — alongside 93 others — read 27 August 2026
Работа в геймдеве 🍖 @gamedevjob · 45,103 Telegram ranks this channel #49 of 95 here — alongside 94 others — read 28 August 2026
TechSparks @techsparks · 46,537 Telegram ranks this channel #57 of 97 here — alongside 96 others — read 27 August 2026
Sber AI @SberAIScience · 27,279 Telegram ranks this channel #59 of 95 here — alongside 94 others — read 10 September 2026
Lama AI @lama_channel_gpt · 24,736 Telegram ranks this channel #61 of 90 here — alongside 89 others — read 15 September 2026
Малоизвестное интересное @theworldisnoteasy · 74,000 Telegram ranks this channel #63 of 94 here — alongside 93 others — read 19 August 2026
Сиолошная @seeallochnaya · 79,594 Telegram ranks this channel #73 of 97 here — alongside 96 others — read 19 August 2026
This channel appears in 21 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.
“CGIT_Vines” (@CGIT_Vines), 11,574 subscribers as measured 18 September 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.