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Нейросеть видит

@neuroset_vidit

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

124,760subscribers

-5,645 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001596342600
TypeChannel
Username@neuroset_vidit
DescriptionПубликуем самые интересные и загадочные картины, созданные нейросетью По рекламе: @stanik Купить через биржу https://telega.in/channels/neyroset_vidit/card Менеджер: @Spiral_Yuri @maxisini Social_Energy
Created23 August 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/neuroset_vidit

Topic

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 74% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 10 other registered channels. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@media1337/2887625 Oct 2026, 10:21 UTC@neuroset_vidit/14195 · this entry25 Oct 2026, 13:07 UTC0.992.8 hours
@media1337/2870614 Oct 2026, 05:03 UTC@neuroset_vidit/14140 · this entry14 Oct 2026, 07:19 UTC0.992.3 hours
@media1337/2834618 Sept 2026, 06:30 UTC@neuroset_vidit/14003 · this entry18 Sept 2026, 13:03 UTC0.996.5 hours
@media1337/2830315 Sept 2026, 12:23 UTC@neuroset_vidit/13989 · this entry15 Sept 2026, 16:33 UTC0.994.2 hours
@media1337/2837720 Sept 2026, 11:12 UTC@neuroset_vidit/14014 · this entry20 Sept 2026, 16:33 UTC0.995.4 hours
@media1337/2898831 Oct 2026, 22:02 UTC@neuroset_vidit/14233 · this entry1 Nov 2026, 09:36 UTC0.9812 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@media133740 (8/8 hand-verifiable sample passed)0.985.4 hours@media1337 (40–0)
@neuro_code35 (8/8 hand-verifiable sample passed)0.974.3 hours@neuro_code (33–2)
@neuraldvig32 (8/8 hand-verifiable sample passed)1.009.2 hours@neuraldvig (32–0)
@cerb_news27 (8/8 hand-verifiable sample passed)1.0026 hoursthis entry (26–1)
@technology_future_cyberpunk11 (8/8 hand-verifiable sample passed)1.002.1 hours@technology_future_cyberpunk (10–1)
@doktorgpt8 (8/8 hand-verifiable sample passed)0.952.3 hourseven
@iPumpBrain8 (8/8 hand-verifiable sample passed)0.9631 hours@iPumpBrain (8–0)
@neirosety6 (6/6 hand-verifiable sample passed)0.9880 minutes@neirosety (5–1)
@source_code6 (6/6 hand-verifiable sample passed)0.983.5 hours@source_code (5–1)
@atishnik5 (5/5 hand-verifiable sample passed)0.9820 daysthis entry (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 136 of the 138 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 229 comparable posts for this entry, running 1 August 2026 to 13 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 5 channels, the one whose matching posts we hold earliest is @neuro_code. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 14 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

124,760130,405127,582.56 August 202614 November 2026
66 measurements spanning 100 days, net -5,645. 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 123,913–131,252 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
14 Nov 2026, 10:45124,760-163
11 Nov 2026, 08:56124,923-105
9 Nov 2026, 17:36125,028-62
8 Nov 2026, 11:21125,090-71
7 Nov 2026, 07:46125,161-59
6 Nov 2026, 07:31125,220-46
5 Nov 2026, 09:09125,266-44
4 Nov 2026, 08:39125,310-68
3 Nov 2026, 04:57125,378-50
2 Nov 2026, 06:56125,428-53
1 Nov 2026, 08:28125,481-57
31 Oct 2026, 09:45125,538-68
30 Oct 2026, 07:57125,606-65
29 Oct 2026, 08:31125,671-53
28 Oct 2026, 04:48125,724-38
27 Oct 2026, 07:40125,762-49
26 Oct 2026, 08:29125,811-37
25 Oct 2026, 07:31125,848-42
24 Oct 2026, 07:11125,890-35
23 Oct 2026, 09:35125,925first reading

Engagement

266 posts held, back to 1 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 241 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.10%
avg views ÷ 124,760 subscribers
Avg views / post
5,120
71 posts measured
Reaction rate
0.745%
reactions ÷ views · ER floor
Posts in window
71
of 266 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 13 November 2026
Posts held266 (1 August 2026 – 13 November 2026)
Views total363,370
Reactions total2,706
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 11:47 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
≈11,700
Videos
≈1,030
Links
≈2,060

Lifetime counters from Telegram’s own channel header, read 14 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
3h 26m
Average length
2m 55s

Measured directly from 71 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

11,404 reactions across 266 posts, in 6 distinct kinds. The most used accounts for 28.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,27828.7%
🤔2,55622.4%
🥰2,02917.8%
🤯1,52813.4%
😱1,0158.90%
😢9988.75%

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 266 of the 266 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 11,404 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 266 most recent posts we hold, published 1 August 2026 to 13 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 71 posts held from the last 30 days (0%) 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).

13 Nov 2026, 16:38 UTC≈1,910 views11 reactionsread 14 November 2026
Video

Исследователи V12 сообщили о новой уязвимости в Telegram Desktop 7.4.3. Обновление вышло 12 ноября. По их словам, проблема снова в виджетах ботов. Сообщение с таким виджетом может запустить чужой код на компьютере, даже если пользователь по нему не нажмёт. Telegram пока не подтвердил, что атака работает в версии 7.4.3.

🤔8😱2❤1

13 Nov 2026, 15:35 UTC≈2,110 views1 reactionsread 14 November 2026
Video

💎 Wingram раздает до 250 FS ежедневно! Без депозита. Без условий на старте. Жми — крути — забирай 👇

😢1

13 Nov 2026, 10:32 UTC≈2,900 views22 reactionsread 14 November 2026
Photo

⚡️Claude внезапно упал: сотни жалоб за последний час Пользователи не могут войти в свои учётные записи. У многих не загружаются файлы или модель вообще не отвечает.

❤14🤔5😱3

13 Nov 2026, 09:35 UTC≈3,300 views28 reactionsread 14 November 2026
Photo

Лизу Су, главу AMD, признали лучшим CEO года по версии Yahoo Finance. Особенно символично, что это произошло в тот же день, когда её двоюродный дядя Дженсен Хуанг покинул пост руководителя Nvidia. Лицо Хуанга представили?

🥰18🤔5😢5

12 Nov 2026, 16:35 UTC≈5,780 views26 reactionsread 14 November 2026
Photo

Весь американский бигтех рушится вслед за Nvidia. Рынок уже потерял более $700 млрд капитализации.

🤔16🥰10

12 Nov 2026, 09:34 UTC≈4,050 views31 reactionsread 14 November 2026
Video

Китайские инженеры смогли запустить на стареньком Redmi K20 Pro сразу три операционные системы: Android, iOS и Windows — одновременно. При этом переключаться между ними можно за секунды.

🤯25❤6

11 Nov 2026, 19:25 UTC≈4,040 views34 reactionsread 14 November 2026
Photo

Взять отпуск на день выхода GTA 6? Легко! В сети набирает обороты тренд: сотрудники заранее подают заявления на краткосрочный отпуск, чтобы спокойно погрузиться в новую GTA 6. Одна из фанаток игры рассказала, что согласовала недельный отпуск с руководством еще в августе. А вот троим ее коллегам такую роскошь не разрешили. Девушка вспоминает свой горький опыт: во время выхода GTA 5 она еще училась в колледже, забро…

🤔16❤10😱5🤯2🥰1

11 Nov 2026, 16:40 UTC≈3,630 views28 reactionsread 14 November 2026
Photo

Россиянам снова ограничивают доступ к Claude — Anthropic ужесточила правила использования нейросети. Теперь компания может учитывать не только местоположение пользователя, но и страну регистрации его работодателя. С 12 ноября ограничения могут затронуть сотрудников компаний из неподдерживаемых стран, даже если сами они проживают за границей.

🤔14❤6😢4🥰3🤯1

11 Nov 2026, 11:29 UTC≈4,160 views19 reactionsread 14 November 2026
Photo

Claude Code превратили в ИИ-репетитора по методу Сократа — трейдинговая компания Jane Street выпустила специальный скилл для обучения. Что умеет: — Оценивает начальные знания и отслеживает прогресс; — Вместо готовых ответов задаёт наводящие вопросы; — Не поддакивает и не хвалит за каждую мелочь, а помогает самостоятельно разобраться в теме; — После изучения материала устраивает проверку знаний. Пробуем — здесь. 🌒…

❤13🤔6

10 Nov 2026, 16:35 UTC≈4,630 views21 reactionsread 14 November 2026
Video

GTA 6 получила новый трейлер в честь старта предзагрузки. Rockstar показала свежие кадры игры перед долгожданным релизом. Уже 19 ноября отправляемся в Вайс-Сити.

🥰12🤔5❤4

10 Nov 2026, 13:49 UTC≈5,100 views23 reactionsread 14 November 2026
Photo

Запускаем локальный Qwen без цензуры — в сети показали, как установить новую китайскую модель прямо на компьютер. Пригодится тем, кто устал от ограничений Claude и ChatGPT. Как установить: — Скачиваем ИИ-лаунчер Ollama — здесь. — Открываем PowerShell и запускаем установку модели одной командой: ollama run hf.co/mradermacher/DeepSeek-V4-Pro-Qwen3.5-9B-UNCENSORED-heretic-GGUF:Q4_K_M Готово — локальная версия ИИ запущ…

🤯10🤔7❤3😢2😱1

9 Nov 2026, 19:16 UTC≈5,750 views16 reactionsread 14 November 2026
Photo

⚡️ Anthropic вернулись на трон — внезапно вышла новая модель Fable 5.2. Пока без бенчмарков, но это точно лучшая модель на сегодняшний день (а иначе зачем выпускали) 😂

❤8🤯6🤔2

Showing the 12 most recent of 266 posts we hold for @neuroset_vidit. 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.

Posts edited after publishing

@neuroset_vidit edited 2 posts 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
9 August 2026
Most recent edit
30 August 2026

Posts recorded as deleted after publishing

We recorded 55 posts on @neuroset_vidit as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
13 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
11

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

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.

Двач
@dvachannel · 968,751
#1
4ch
@why4ch · 1,019,801
#2
КБ
@cbpub · 668,384
#3
1337
@media1337 · 1,101,643
#4
r/ретранслятор
@retra · 165,798
#5
Нейродвиж
@neuraldvig · 288,263
#6
Лепра
@Lepragram · 340,708
#7
мы вам перезвоним
@ca11_you · 138,495
#8
Леонардо Дайвинчик
@leoday · 5,540,880
#9
Readovka
@readovkanews · 2,015,419
#10
Артемий Лебедев
@temalebedev · 971,105
#11
Сегодня в тренде
@trends · 1,111,945
#12
Пикабу
@pikabu · 254,915
#13
NEXTA Live
@nexta_live · 766,224
#14
НМШ
@nmshhub · 668,086
#15
Рестарт
@remedia · 666,164
#16
ТОПОР - Горячие новости
@topor · 1,291,189
#17
ЖЮ 🧡 Videos
@lifeyt · 326,926
#18
Игорь, начинайте работу
@oplata_skoro_budet · 649,250
#19
sndk
@sndkgram · 357,717
#20
Нейро
@neuro_code · 55,418
#21
TrendWatching
@trendwatching24 · 1,376,886
#22
ТОПЛЕС
@toplesofficial · 497,702
#23
AI Insider
@ai_ins · 41,359
#24
Пекарня
@pekagame · 1,117,078
#25
Mash
@mash · 3,138,471
#26
твиттота
@twitt_ota · 415,877
#27
Прямой Эфир • Новости
@novosti_efir · 3,875,626
#28
Раньше всех. Ну почти.
@bbbreaking · 1,975,202
#29
Эксплойт
@exploitex · 2,021,350
#30
Ньюсач/Двач
@ru2ch · 710,370
#31
Клиент всегда прав
@klientvsprav · 1,022,641
#32
Baza
@bazabazon · 1,556,528
#33
Бэкдор
@whackdoor · 1,535,262
#34
Ateo Breaking
@ateobreaking · 742,387
#35
Москвач • Новости Москвы
@moscowach · 3,872,110
#36
НЕВЗОРОВ
@nevzorovtv · 1,002,580
#37
MDK
@mudak · 523,994
#38
Yaplakal.com
@yaplakal · 419,647
#39
Медуза — LIVE
@meduzalive · 1,116,618
#40
Анатолий Шарий
@asupersharij · 1,736,455
#41
Новости Москвы
@moscowmap · 2,620,198
#42
Programmer & IT Memes
@itmemes · 121,889
#43
Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,661,091
#44
Бладсикер 2.0
@bIoodsiker · 210,956
#45
шерстяные проказники • коты
@koshkii_kotiki · 333,313
#46
VG/Двач
@ru2chvg · 183,062
#47
NN
@naebnet · 2,177,794
#48
Москва Live
@msk_live · 1,797,251
#49
Kuplinov ► Play
@Kuplinov_Telegram · 905,063
#50
Труха⚡️Україна
@truexanewsua · 3,165,061
#51
Colonelcassad
@boris_rozhin · 750,033
#52
Алексей Шевцов
@jolybells · 357,346
#53
SHOT
@shot_shot · 1,265,323
#54
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,087,045
#55
Философ душевой кабинки
@feelings_shower · 52,887
#56
Rozetked
@rozetked · 646,181
#57
Лентач
@lentachold · 391,507
#58
Видео Долбоёба
@video_dolboeba · 212,052
#59
4chan
@ru4chan · 181,625
#60
Пездуза
@pezduzalive · 368,647
#61
Tynu40k Goblina (oper.ru)
@oper_goblin · 490,167
#62
Операция Z: Военкоры Русской Весны
@rvvoenkor · 1,451,986
#63
АРХАНГЕЛ СПЕЦНАЗА
@arx_spn · 1,022,538
#64
Два майора
@dva_majors · 1,161,502
#65
Не баг, а фича
@bugnotfeature · 1,163,578
#66
КБ. экономика
@cb_economics · 367,479
#67
Мир PlayStation
@world_playstation · 309,209
#68
Технотренды
@techno_media · 925,681
#69
[BadComedian]
@TheBadComedian · 604,971
#70
Рандомач/Двач
@rand2ch · 168,959
#71
Не баг, а фича
@bugfeature · 551,367
#72
Лука Ебков
@luka_ebkov · 428,911
#73
Ватное болото
@vatnoeboloto · 378,055
#74
КБ. Игры
@cb_games · 389,068
#75
Кинопоиск | Фильмы и сериалы
@kinopoisk · 794,341
#76
Сталингулаг
@stalin_gulag · 297,712
#77
Дмитрий Медведев
@medvedev_telegram · 1,688,200
#78
Telegram Stickers | Стикеры
@tgsticker · 797,421
#79
Сосисочная
@sosicka · 157,370
#80
Дудь
@yurydud · 848,551
#81
FEMALE MEMES
@femalememes · 398,390
#82
VOBLA • новости
@voina_belgorod_novosti · 1,086,036
#83
Midjourney Prompts
@digital_midjourney · 28,769
#84

Read from Telegram’s recommendation API, most recently 28 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.

Abyss Guard | VPN
@abyss_guard · 21,292
Telegram ranks this channel #2 of 50 here — alongside 49 others — read 24 September 2026
Глубина
@thedeepsee · 41,476
Telegram ranks this channel #41 of 65 here — alongside 64 others — read 29 August 2026
MDJ Prompts
@mdj_school · 24,127
Telegram ranks this channel #60 of 88 here — alongside 87 others — read 15 September 2026
PRO | Нейросети
@pro_neiroset · 31,319
Telegram ranks this channel #72 of 86 here — alongside 85 others — read 5 September 2026
Midjourney Prompts
@digital_midjourney · 28,769
Telegram ranks this channel #73 of 81 here — alongside 80 others — read 8 September 2026
Black History
@history_0x · 42,447
Telegram ranks this channel #76 of 81 here — alongside 80 others — read 28 August 2026
Химики
@chemistrytg2021 · 31,623
Telegram ranks this channel #81 of 86 here — alongside 85 others — read 5 September 2026
Neural Brain - Нейросети
@neural_braining · 21,211
Telegram ranks this channel #83 of 90 here — alongside 89 others — read 23 September 2026
chatgpt_neiro_news
@neirosety · 1
Telegram ranks this channel #87 of 87 here — alongside 86 others — read 7 September 2026

This channel appears in 9 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 14 November 2026 — this entry's latest reading, not the date you are reading this.

“Нейросеть видит” (@neuroset_vidit), 124,760 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/neuroset_vidit.

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.