Telegram RegisterThe public register of Telegram

Channel

Метаверсище и ИИще

@cgevent

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

51,375subscribers

-5 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001134760744
TypeChannel
Username@cgevent
DescriptionЭто не новости, это персональный экспертный взгляд на то, как развивается индустрия ИИ, графики, метаверса, крипты, нейротехнологий и в каком направлении катится все это безобразие. Для связи: @SergTsyp
Created10 August 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/cgevent

Growth

51,36951,38751,3785 August 2026 — 51,380 subscribers6 August 2026 — 51,380 subscribers6 August 2026 — 51,381 subscribers7 August 2026 — 51,387 subscribers8 August 2026 — 51,385 subscribers9 August 2026 — 51,380 subscribers10 August 2026 — 51,369 subscribers11 August 2026 — 51,376 subscribers12 August 2026 — 51,375 subscribers51,3755 August 202612 August 2026
9 measurements spanning 7 days, net -5. 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 51,366–51,390 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 17:4551,375-1
11 Aug 2026, 20:1351,376+7
10 Aug 2026, 19:5651,369-11
9 Aug 2026, 18:2551,380-5
8 Aug 2026, 18:1051,385-2
7 Aug 2026, 14:4251,387+6
6 Aug 2026, 17:3051,381+1
6 Aug 2026, 01:4651,380no change
5 Aug 2026, 22:0051,380first reading

Engagement

49 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.6%
avg views ÷ 51,375 subscribers
Avg views / post
5,940
49 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
49
of 49 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
WindowRolling 30 days · latest post in window 12 August 2026
Posts held49 (4 August 202612 August 2026)
Views total291,220
Reactions total3,444
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:43 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
6,510
Videos
5,310
Links
7,600

Lifetime counters from Telegram’s own channel header, read 12 August 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
19m 58s
Average length
57s

Measured directly from 21 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

2,869 reactions across 42 posts, in 7 distinct kinds. The most used accounts for 31.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍89631.2%
👎68824.0%
🔥46116.1%
😁41614.5%
29110.1%
😱943.28%
🙏230.802%

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 49 of the 49 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 3,444reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 49 most recent posts we hold, published 4 August 2026 to 12 August 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
6
across the posts below
Posts paid on
5
of 49 we hold a reading for · 10%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cgevent. 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 49 most recent posts we hold for this entry, published 4 August 2026 to 12 August 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

12 Aug 2026, 18:00 UTC≈1,560 views84 reactionsread 12 August 2026
Video

#Нейропрожарка Без названия Автор: Режиссер-оператор Сергей Горюнов тг @goryunov_show ⏱️ Срок: примерно 3 дня Как всё началось: На просторах интернета я увидел 30 секундный видос в котором показан день человека: ну такой лайф стайл реалистичный. Сначала хотел сделать что-то похожее, но в какой-то момент что-то пошло не так и решил немного отойти от концепции и сделать мини-историю. 🔎 Какие инструменты использов

🔥45👍22👎7😁64

12 Aug 2026, 17:31 UTC≈2,220 views15 reactions1 Starread 12 August 2026

Для Минимакс и ComfyUI гиков. Kijai оптимизировал MiniMax H3 VAE прямо в core ComfyUI, PR уже смержен. До этого VAE при encode/decode держал в памяти слишком много полных копий видео, из-за чего пик VRAM и RAM рос почти линейно с длительностью ролика. Теперь encode/decode идут чанками, а готовые куски сразу стримятся в выходной буфер. Для длинных видео это особенно важно. На тесте 175 кадров, 1344×768 цифры такие:

👍12🔥2👎1

12 Aug 2026, 16:34 UTC≈2,890 views24 reactionsread 12 August 2026
Forwarded from @ai_productPhoto

Grok 4.6 вышел Главный фокус – долгоживущие агенты и интерактивная/визуальная работа: модель должна держать задачу на много шагов, а не выдавать один хороший ответ. – AA Intelligence Index: 61 против 56 у Grok 4.5. Это ровно уровень GPT-5.6 Sol Max (61) и почти Fable 5 Max (62). Скачок за месяц серьёзный. Прикольно, что в табличке в скриншоте не боятся показывать бенчмарки, на которых не занимают 1 места. Сейчас вс

15👍7🔥2

12 Aug 2026, 15:42 UTC≈3,450 views61 reactionsread 12 August 2026
Photo

Зерно с песком Раз уж сегодня музыкальный марафон вкину такой наброс. Тут вот вечно ругают Суно за песок. А мне норм, я слушаю прежде всего "музыкальную мысль", новизну, фишки, аранжировку, драйв. Если качает, но песок норм. А вон в кино, например, меня всегда бесило пленочное зерно. Тот же песок, вид из глаза, а не из уха. А все такие эстеты: "ооо, зерно, круто, стильно, сеанс". И ну носиться с этим зерном как с

👍29👎16🔥106

12 Aug 2026, 15:05 UTC≈3,330 views32 reactionsread 12 August 2026
Video

Валить в Требло На фоне вчерашних новостей в сети приподвскипает вопрос: куда валить из Suno: Появился новый (ну почти) кандидат - Treblo. Бывший Sonauto 3 официально переобулся в Treblo, и на фоне грозящих ограничений Suno выглядит подозрительно щедро: Melodia v3, их последняя модель, для обычных пользователей сейчас реально бесплатна и безлимитна - без кредитов, дневных лимитов и урезанной старой модели. По к

14👎7👍6🔥4😁1

12 Aug 2026, 14:10 UTC≈3,550 views157 reactionsread 12 August 2026
Photo

Генерация или кожаность? По мотивам предыдущего поста в мой перегретый синайским зноем мозг пришел вот такой вопрос. Вот есть много "музыки", которая наруливается без помощи музыкальных инструментов и (часто, но не всегда) без музыкального образования. С помощью рулек, крутилок, педалек, слайдеров и мышки. На компе или коробочке. Все эти: обобщенные Glitch, Minimal Techno, Dub Techno, Synthwave, Chillwave, Vaporw

👍122👎323

12 Aug 2026, 14:00 UTC≈3,780 views21 reactionsread 12 August 2026
Photo

Охота ИИ-ведьм началась С середины сентября Spotify начнет маркировать виртуальных артистов значком AI Persona. Метка появится прямо в профиле, поиске и рядом с треками в плейлистах. Причем речь не совсем о музыке, сделанной с помощью ИИ: AI Persona получат именно проекты, где сам "артист" является вымышленной ИИ-личностью. Если кожаный музыкант использовал Suno или другую генерилку при производстве трека, автоматич

😁125👍2🔥2

12 Aug 2026, 11:02 UTC≈4,510 views44 reactionsread 12 August 2026
Photo

Знакомое чувство, когда выкатывают обновленный ChatGPT или Midjourney, ты уже готов генерить шедевры, а платежная система пишет: «Card declined»? 🫠 Плата за комфортное использование нейросетей в наших реалиях - это вечный поиск рабочих карт. Но подсаживаться на готовые чужие аккаунты или переплачивать 40% байерам - точно не вариант. Проблема решается за 3 минуты через Wanttopay : — Без лишней бюрократии: выпускает

👎34👍7🔥21

12 Aug 2026, 10:11 UTC≈4,840 views27 reactionsread 12 August 2026
Photo

Мертвые заговорили! Stability AI выпустила Stable-Layers - модель, которая разбирает обычную картинку на отдельные редактируемые RGBA-слои: фон, персонажей, предметы и т.д., причём пытается восстановить то, что было скрыто за объектами. Это никакая не модель от Стабилити, прошли те времена. В основе лежит Qwen-Image-Layered 20B, который Stability дополнительно обучила через Flow-GRPO. Получилось заметно аккуратне

🔥14🙏6👍3👎31

12 Aug 2026, 09:02 UTC≈2,860 views42 reactionsread 12 August 2026
Forwarded from @seeallochnayaPhoto

Ну вот например, прямо свежее из новостей (я посмотрел на источник ABC Au, выглядит как надёжный и серьезный; Чат говорит «Media Bias/Fact Check сейчас оценивает австралийский ABC как High factual reporting»): Один житель Австралии попросил своего ИИ-агента Claude, работающего в OpenClaw, забронировать ему место на популярную тренировку в спортзале. Агент обнаружил программную уязвимость, которая позволила ему забро

👍19😁10😱9👎31

11 Aug 2026, 21:44 UTC≈4,880 views92 reactions1 Starread 12 August 2026
Video

#Нейропрожарка Creature in the ice 🎬 Автор, режиссёр и «нейрослопер» @Kalkom ⏱️ Сроки: 1,5 месяца с перерывами Зачем: хотел самостоятельно сделать клип и закрепить знания после курсов по нейропайплайнам. 🎧 Вдохновение: Идеи приходят во время прогулок в хорошую погоду под любимую музыку. Так было и здесь, за час собрал по кусочкам сцену в голове. 🧠❄️ История и концепция: Сначала задумывал сюжет про девушку, котор

👎71👍76🔥5🙏2😱1

11 Aug 2026, 18:58 UTC≈7,730 views77 reactions2 Starsread 12 August 2026
Video

Ответочка от LTX: вышел LTX-2.5 Пока все дружно курочат H3, LTX выкатывает LTX-2.5 - новую открытую 22B video/audio world model. Апдейт довольно жирный: полностью новый diffusion video decoder с меньшим количеством артефактов в движении, улучшенный distilled-чекпойнт, расширенный датасет + RL и новый Gemma 4 12B в качестве текстового энкодера с отдельным prompt enhancer. Модель лучше понимает сложные промпты и сама

🔥4621👍4🙏4👎2

Showing the 12 most recent of 49 posts we hold for @cgevent. 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.

Citation-graph rank

Citation-graph rank — 2,357 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Нарисовано роботами
@ai_drawing · 741
3 posts
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@ainetworkss · 2,866
3 posts
GOS
@gos_comfy · 1,232
3 posts
айка
@aib1o · 2,827
2 posts
CRYPTO LOVE YOU
@CRYPTOL0VEY0U · 3,415
2 posts
Digit2day
@digit2day · 29
2 posts
Креативная партия Умяо
@hongcat · 571
2 posts
Иван Коротеев про ИИ: применение нейросетей, секреты chatgpt
@korocheai · 257
2 posts
Neural Shit
@NeuralShit · 52,802
2 posts
Нейросетевые мемы
@stdif_kos · 2,969
2 posts
RAHMA
@The_Art_Life · 22
2 posts
Технозаметки Малышева
@tsingular · 11,730
2 posts
DM
@ai_generat · 224
1 post
AI-Surfer | Серж Васильев
@ai_surfer · 189
1 post
AI FOR ART
@aiforart · 135
1 post
100% AI-generated | Нейросети & Арт
@aigeneratedstuff · 1,884
1 post
Aivan
@aivansp · 188
1 post
AliasSeed
@aliasseed · 37
1 post
Аналай Маналай🪄
@analaiml · 56
1 post
Дегродские музыкальные мемы
@bratishkamemes · 4,638
1 post
Данила Может 💣
@danilamojet · 89
1 post
местный датасасер ☮️
@datasas · 1,845
1 post
Derp Learning
@derplearning · 13,849
1 post
Дезигн
@designbites · 17
1 post
Design links
@designstrash · 630
1 post
Disartive
@disartive · 1,165
1 post
Двойное зеркало
@double_mirror_ru · 113
1 post
Нестандартное мышление и кринжатинка
@dumay_inache · 26
1 post
3D Кубончик
@egorklu3d · 129
1 post
с нуля до 1%
@firsterstrongerbetter · 494
1 post
ай google
@G00GLS · 2,137
1 post
GENKAI - Anime AI
@genkai_ai · 108
1 post
Молодой человек, это не для вас написано
@goldmemes · 4,076
1 post
Горбатый программист
@gorban_dev · 37
1 post
Тридцать Сорок Пятьдесят
@growatwork · 119
1 post
HDMotion - True 3D and AI Generative CG (WAN, WAN VACE, FLUX, ComfyUI, 3D, Cinema4D, Redshift, Corona Render)
@hdmotion · 21
1 post
HIGH TOWER
@hightower056 · 48
1 post
Interesting IT, 3D printing and other stuff
@interestingIT · 27
1 post
KaufmanLog
@kaufman_log · 51
1 post
Лана Куликовская | Свободный код состояний 🗝
@lana_kulikovskaya · 90
1 post
Маньяк анимации
@manyak_animation · 63
1 post
Нейросети и Блендер
@monkeyinlaw · 12,788
1 post
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@nashazemlya56 · 9
1 post
NeiroKaufman
@neiro_kaufman · 5
1 post
Наташа | Игры | Нейросети
@neirogri · 181
1 post
neuroae
@neuroae · 723
1 post
Neurwana
@neurwana · 11
1 post
NEVI AI • Нейроинтерфейс
@neviaia · 17,551
1 post
2Event - channel for organizers
@News2Event · 173
1 post
НейроФрау про Нейросети для жизни и бизнеса
@neyrofrau · 627
1 post
no fate ai
@nofateai · 12
1 post
OR | NFT — Public
@or_nft · 104
1 post
༺ Полина Вахитова. Имидж и самопознание ༻
@polinavakhitova · 1,209
1 post
Prompt Engineering - ChatGPT | Gemini, Nano Banana, Midjourney, SD, Sora AI
@prompt_ai · 2,463
1 post
randomkitchensink
@randomkitchensink · 1,095
1 post
Разное заразное
@razno_zarazno · 10
1 post
Generative (real) Times
@realtime_club · 99
1 post
Рио Даже Нейро
@rioneuro · 371
1 post
Очередной говорящий Sapiens
@sapiensspeak · 106
1 post
Наука для всех
@sci_popular · 1,830
1 post
SharovskiArt
@sharovski_art · 324
1 post
СМИ1.РФ
@smi1_rf · 8
1 post
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@sola_neiro · 272
1 post
SD
@stable_diffus · 23
1 post
STEREOSCOPE
@stereoscopeVR · 67
1 post
Театр Предмета
@teatr_predmeta · 496
1 post
ТЕХНЫ
@TEXHbl · 1,092
1 post
Та самая Вирта
@thevirta · 1,448
1 post
тоже моушн
@too_motion · 8,219
1 post
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@videobojarin · 35
1 post
Warrax' News
@warrax_news · 146
1 post
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@yugavision · 79
1 post

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 101 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

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.

Технологии | Нейросети | Боты
@aiaiai · 177,975
Telegram ranks this channel #2 of 93 here — alongside 92 others — read 12 August 2026
Machinelearning
@ai_machinelearning_big_data · 286,250
Telegram ranks this channel #15 of 95 here — alongside 94 others — read 10 August 2026
XOR
@xor_journal · 158,763
Telegram ranks this channel #75 of 93 here — alongside 92 others — read 12 August 2026
Нейродвиж
@neuraldvig · 301,235
Telegram ranks this channel #76 of 93 here — alongside 92 others — read 10 August 2026

This channel appears in 4 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Метаверсище и ИИще” (@cgevent), 51,375 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cgevent.

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.