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Channel

AI Insider

@ai_ins

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

42,069subscribers

-515 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001256701545
TypeChannel
Username@ai_ins
DescriptionПытаемся разобраться, когда искусственный интеллект планирует захватить мир... Сотрудничество: @veron_28 https://telega.in/channels/ai_ins/card https://knd.gov.ru/license?id=678f51aeee896061c9b4bd37&registryType=bloggersPermission
Created3 July 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/ai_ins

Topic

Science — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 61% 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.

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 word for word on 2 other registered channels. 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
@the_next_leveI/88943 Aug 2026, 06:54 UTC@ai_ins/8875 · this entry3 Aug 2026, 12:55 UTC1.006.0 hours
@the_next_leveI/88963 Aug 2026, 09:14 UTC@ai_ins/8877 · this entry3 Aug 2026, 15:21 UTC1.006.1 hours
@the_next_leveI/89004 Aug 2026, 06:54 UTC@ai_ins/8881 · this entry4 Aug 2026, 12:55 UTC1.006.0 hours
@the_next_leveI/89024 Aug 2026, 09:22 UTC@ai_ins/8883 · this entry4 Aug 2026, 15:17 UTC1.005.9 hours
@ai_ins/8878 · this entry4 Aug 2026, 06:56 UTC@the_next_leveI/89034 Aug 2026, 12:56 UTC1.006.0 hours
@the_next_leveI/89085 Aug 2026, 09:16 UTC@ai_ins/8890 · this entry5 Aug 2026, 15:18 UTC1.006.0 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@the_next_leveI20 (8/8 hand-verifiable sample passed)1.006.0 hourseven
@neuro_in_action7 (7/7 hand-verifiable sample passed)1.006.0 hoursthis entry (43)

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. 6 of the 13 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 21 comparable posts for this entry, running 3 August 2026 to 7 August 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).

Across the whole group of 3, the earliest publisher we hold is @ai_ins — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

42,06942,58442,326.57 August 2026 — 42,584 subscribers7 August 2026 — 42,584 subscribers7 August 2026 — 42,579 subscribers8 August 2026 — 42,566 subscribers9 August 2026 — 42,553 subscribers10 August 2026 — 42,546 subscribers11 August 2026 — 42,533 subscribers12 August 2026 — 42,519 subscribers13 August 2026 — 42,503 subscribers14 August 2026 — 42,489 subscribers16 August 2026 — 42,475 subscribers17 August 2026 — 42,454 subscribers18 August 2026 — 42,439 subscribers19 August 2026 — 42,421 subscribers20 August 2026 — 42,406 subscribers21 August 2026 — 42,393 subscribers23 August 2026 — 42,373 subscribers24 August 2026 — 42,360 subscribers25 August 2026 — 42,347 subscribers26 August 2026 — 42,339 subscribers27 August 2026 — 42,332 subscribers28 August 2026 — 42,322 subscribers29 August 2026 — 42,310 subscribers30 August 2026 — 42,291 subscribers31 August 2026 — 42,276 subscribers1 September 2026 — 42,261 subscribers2 September 2026 — 42,242 subscribers4 September 2026 — 42,225 subscribers6 September 2026 — 42,189 subscribers10 September 2026 — 42,156 subscribers12 September 2026 — 42,137 subscribers14 September 2026 — 42,112 subscribers15 September 2026 — 42,087 subscribers17 September 2026 — 42,069 subscribers7 August 202617 September 2026
34 measurements spanning 41 days, net -515. 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 41,992–42,661 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
17 Sept 2026, 16:0042,069-18
15 Sept 2026, 15:5742,087-25
14 Sept 2026, 03:1542,112-25
12 Sept 2026, 07:3842,137-19
10 Sept 2026, 03:5842,156-33
6 Sept 2026, 23:3842,189-36
4 Sept 2026, 07:4042,225-17
2 Sept 2026, 23:1542,242-19
1 Sept 2026, 19:5442,261-15
31 Aug 2026, 17:1342,276-15
30 Aug 2026, 18:2842,291-19
29 Aug 2026, 19:5442,310-12
28 Aug 2026, 23:0442,322-10
27 Aug 2026, 20:2442,332-7
26 Aug 2026, 23:4642,339-8
25 Aug 2026, 21:2842,347-13
24 Aug 2026, 23:1542,360-13
23 Aug 2026, 07:0242,373-20
21 Aug 2026, 17:0842,393-13
20 Aug 2026, 11:3842,406first reading

Engagement

223 posts held, back to 3 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 129 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.54%
avg views ÷ 42,069 subscribers
Avg views / post
1,070
140 posts measured
Reaction rate
0.384%
reactions ÷ views · ER floor
Posts in window
140
of 223 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. It is computed over the 88 of 140 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 21 September 2026
Posts held223 (3 August 202621 September 2026)
Views total149,336
Reactions total375
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 00:07 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
4,210
Videos
2,470
Links
1,650

Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. 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
24m 58s
Average length
32s

Measured directly from 47 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

607 reactions across 139 posts, in 13 distinct kinds. The most used accounts for 29.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥17729.2%
17528.8%
👍8514.0%
👏508.24%
🥴345.60%
😁254.12%
😱203.29%
🌚142.31%
🤯111.81%
🤔71.15%
🏆60.988%
🤓20.329%
👨‍💻10.165%

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 153 of the 223 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 607 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 223 most recent posts we hold, published 3 August 2026 to 21 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.

Advertising

Ad load
0.448%
1 of 223 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,170
over 1 measured post
Median views · rest
1,130
over 222 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
eridPostsFirst seenLast seen
2Vtzqx4iive15 August 20265 August 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 223 most recent posts we hold, published 3 August 2026 to 21 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.

Recent posts

21 Sept 2026, 15:17 UTC493 views3 reactionsread 22 September 2026
Video

На самом деле дроны придумали для того, чтобы поливать любимых животных

3

21 Sept 2026, 12:51 UTC741 views1 reactionsread 22 September 2026
Photo

В Японии появилась «скорая помощь» для гуманоидных роботов Японская компания GMO запустила специальный автомобиль, который выезжает к сломавшимся гуманоидным роботам. Внутри находятся инженер, диагностическое оборудование, инструменты, запчасти и даже запасной робот. Если неисправность удаётся устранить на месте — робот продолжает работу. Если нет, сломанную машину забирают в сервис, а вместо неё оставляют исправную

1

21 Sept 2026, 09:20 UTC824 viewsread 22 September 2026
Photo

Робот научился бросать теннисный мяч со скоростью 111 км/ч Исследователи из Robotics and AI Institute создали робота AthenaZero, способного очень быстро бросать, ловить и отбивать мячи. В одном из экспериментов он бросил теннисный мяч со скоростью 30,8 м/с — около 111 км/ч. Для этого роботу сделали необычно лёгкие и подвижные руки: тяжёлые компоненты перенесли ближе к корпусу, благодаря чему эффективная масса конечн

21 Sept 2026, 06:49 UTC845 views1 reactionsread 22 September 2026
Photo

Учёные нашли способ подслушивать звук в наушниках на расстоянии до 30 метров Исследователи из Гонконга разработали атаку InjectEave, которая использует радиосигналы для того, чтобы вызвать утечку звуковой информации из аналоговых компонентов электроники. В экспериментах они проверили 11 коммерческих устройств, включая наушники Sony, Apple, Philips и HP. В большинстве случаев сигнал удавалось перехватывать с расстоян

1

20 Sept 2026, 15:19 UTC≈1,010 viewsread 22 September 2026
Photo

ИИ оказался хуже человека в задаче компьютерного зрения Учёные проверили более 200 глубоких нейросетей и обнаружили, что ни одна из них не распознаёт предметы так же, как человек. Исследователи специально искажали изображения кошек, бабочек, автомобилей и других объектов, меняя их текстуры, внутренние детали и общую форму. Когда распознать объект можно было в основном по силуэту, люди стабильно справлялись лучше ИИ.

20 Sept 2026, 12:50 UTC968 viewsread 22 September 2026
Photo

Учёные создали детектор за $100, который регистрирует частицы из космоса CosmicWatch — компактный детектор космических частиц, который можно собрать примерно за $100. Устройство регистрирует мюоны — частицы, постоянно образующиеся в атмосфере под действием космических лучей и проходящие через Землю и наши тела. Прибор настолько доступен, что его используют не только в научных экспериментах, но и в образовательных пр

20 Sept 2026, 09:20 UTC992 views3 reactionsread 22 September 2026
Photo

Учёные восстановили видео только по активности мозга мышей Исследователи из University College London научились реконструировать то, что видит мышь, используя только сигналы отдельных нейронов её зрительной коры. Алгоритм анализировал активность мозга и постепенно подбирал изображение, которое лучше всего соответствовало этим сигналам. В результате учёные смогли восстановить даже 10-секундный ролик, который мышь смо

🔥2😱1

20 Sept 2026, 06:46 UTC803 viewsread 20 September 2026
Photo

Японские учёные создали пластик, который после использования превращается в удобрение Исследователи Университета Тиба разработали биопластик на основе изосорбида — вещества, которое получают из глюкозы. После использования материал можно обработать водным раствором аммиака: полимер распадается на вещества, которые затем можно использовать как компоненты удобрения. Причём удобрение из этого пластика действительно под

Showing the 12 most recent of 223 posts we hold for @ai_ins. 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.

Forward network

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 1 registered channel — 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.

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.

Бэкдор
@whackdoor · 1,603,481
#1
1337
@media1337 · 1,152,508
#2
Нейро
@neuro_code · 56,268
#3
NN
@naebnet · 2,172,222
#4
XOR
@xor_journal · 175,669
#5
Бэкспейс
@backspace_media · 47,542
#6
Rozetked
@rozetked · 656,361
#7
GeekNeural
@geekneural · 63,099
#8
Нейродвиж
@neuraldvig · 295,695
#9
эйай ньюз
@ai_newz · 96,889
#10
Рестарт
@remedia · 703,568
#11
Denis Sexy IT 🤖
@denissexy · 137,325
#12
Технотренды
@techno_media · 790,765
#13
Не баг, а фича
@bugnotfeature · 1,045,696
#14
Код.ру
@d_code · 404,952
#15
Сегодня в тренде
@trends · 1,149,945
#16
ChatGPT | Нейросети
@gptpublic · 270,410
#17
Не баг, а фича
@bugfeature · 574,657
#18
Новости Москвы
@moscowmap · 2,674,200
#19
The Open Ai | Нейросети
@TheOpen_Ai · 13,069
#20
GPT-4 Community
@gpt4_tg · 54,375
#21
Цифровой Журнал | IT, Neiroseti
@chatgptv · 1,855,495
#22
Метаверсище и ИИще
@cgevent · 52,361
#23
кабачковая икра по акции
@sale_caviar · 192,936
#24
Data Secrets
@data_secrets · 93,800
#25
CodeCamp
@codecamp · 181,400
#26
Айтишная
@aitshnya · 70,273
#27
r/ретранслятор
@retra · 165,509
#28
Технологии | Нейросети | Боты
@aiaiai · 176,423
#29
Programmer & IT Memes
@itmemes · 123,509
#30
Сиолошная
@seeallochnaya · 79,594
#31
Лепра
@Lepragram · 341,206
#32
Нейронавт | Нейросети в творчестве
@GreenNeuralRobots · 12,947
#33
concertzaal
@concertzaal · 835,965
#34
лидер мнений среди удобрений
@lider · 176,017
#35
Исходный код
@source_code · 33,558
#36
Neural Shit
@NeuralShit · 53,680
#37
MDK
@mudak · 533,284
#38
Первый Нейросетевой: IT & Digital
@first_neiro · 11,985
#39
PRO | Нейросети
@pro_neiroset · 31,879
#40
GigaChat
@official_gigachat · 307,595
#41
vc.ru
@vcnews · 112,033
#42
MarketTwits
@markettwits · 336,496
#43
Нейролента
@neirosety · 30,294
#44
в IT и выйти
@techmedia · 1,460,193
#45
Эксплойт
@exploitex · 2,041,128
#46
Двач
@dvachannel · 938,773
#47
Раньше всех. Ну почти.
@bbbreaking · 1,971,693
#48
Пекарня
@pekagame · 1,091,300
#49
Ньюсач/Двач
@ru2ch · 650,396
#50
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,094,211
#51
TrendWatching
@trendwatching24 · 1,446,765
#52
Медуза — LIVE
@meduzalive · 1,121,201
#53
Ateo Breaking
@ateobreaking · 694,274
#54
КБ
@cbpub · 644,640
#55
Прямой Эфир • Новости
@novosti_efir · 3,956,254
#56
Банкста
@banksta · 438,140
#57
Москвач • Новости Москвы
@moscowach · 4,111,005
#58
4ch
@why4ch · 1,045,447
#59
ЕЖ
@ejdailyru · 649,498
#60
Артемий Лебедев
@temalebedev · 968,245
#61
Алексей Шевцов
@jolybells · 358,951
#62
Новости Кошелька
@cryptowallet_news_cis · 1,128,418
#63
Лентач
@lentachold · 392,921
#64
Банки, деньги, два офшора
@bankrollo · 454,915
#65
КОНТЕКСТ
@kontext_channel · 838,100
#66
Клиент всегда прав
@klientvsprav · 1,063,862
#67
НЕВЗОРОВ
@nevzorovtv · 1,019,614
#68
твиттота
@twitt_ota · 332,521
#69
КБ. экономика
@cb_economics · 346,318
#70
Кровавая барыня
@bloodysx · 1,158,879
#71
НМШ
@nmshhub · 727,604
#72
Креатив со звездочкой
@creative · 134,236
#73
VG/Двач
@ru2chvg · 182,024
#74
бумеры смотрят телек
@boomers_TV · 160,058
#75
4chan
@ru4chan · 180,454
#76
Пездуза
@pezduzalive · 372,470
#77
Big Geek
@biggeekru · 575,464
#78
КБ. Игры
@cb_games · 379,956
#79
NEXTA Live
@nexta_live · 767,216
#80
Москва Live
@msk_live · 1,808,438
#81
Ты в тренде или уходи
@trendsetter · 1,417,532
#82
Айтишка - Digital & IT
@ITtishka · 21,457
#83
Лентач
@oldlentach · 261,296
#84
Gram RUS
@toncoin_rus · 526,912
#85
Кинопоиск | Фильмы и сериалы
@kinopoisk · 806,604
#86
Mash
@mash · 3,096,804
#87
Baza
@bazabazon · 1,535,150
#88
Varlamov News
@varlamov_news · 1,061,005
#89
Анатолий Шарий
@asupersharij · 1,700,527
#90
Осторожно, новости
@ostorozhno_novosti · 1,620,141
#91
Colonelcassad
@boris_rozhin · 747,495
#92
Дудь
@yurydud · 864,661
#93
Рандомач/Двач
@rand2ch · 171,249
#94

Read from Telegram’s recommendation API, most recently 29 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.

Бэкспейс
@backspace_media · 47,542
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 25 August 2026
MDJ School | IT, нейросети
@mdj_school · 24,649
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 15 September 2026
GeekNeural
@geekneural · 63,099
Telegram ranks this channel #3 of 92 here — alongside 91 others — read 21 August 2026
Midjourney | Диджитал
@digital_midjourney · 29,382
Telegram ranks this channel #4 of 81 here — alongside 80 others — read 8 September 2026
Нейро
@neuro_code · 56,268
Telegram ranks this channel #4 of 96 here — alongside 95 others — read 23 August 2026
PRO | Нейросети
@pro_neiroset · 31,879
Telegram ranks this channel #5 of 86 here — alongside 85 others — read 5 September 2026
GPT-4 Community
@gpt4_tg · 54,375
Telegram ranks this channel #5 of 90 here — alongside 89 others — read 23 August 2026
Нейролента
@neirosety · 30,294
Telegram ranks this channel #9 of 87 here — alongside 86 others — read 7 September 2026
XOR
@xor_journal · 175,669
Telegram ranks this channel #9 of 93 here — alongside 92 others — read 12 August 2026
Айтишная
@aitshnya · 70,273
Telegram ranks this channel #10 of 93 here — alongside 92 others — read 20 August 2026
Bard AI | Нейросети & IT
@NeuralToday · 30,447
Telegram ranks this channel #11 of 85 here — alongside 84 others — read 7 September 2026
Исходный код
@source_code · 33,558
Telegram ranks this channel #13 of 93 here — alongside 92 others — read 4 September 2026
ChatGPT | Нейросети
@gptpublic · 270,410
Telegram ranks this channel #17 of 90 here — alongside 89 others — read 10 August 2026
Нейросеть видит
@neuroset_vidit · 128,026
Telegram ranks this channel #24 of 84 here — alongside 83 others — read 28 August 2026
PROAI
@pro_ai_news · 90,512
Telegram ranks this channel #25 of 92 here — alongside 91 others — read 16 August 2026
NeuroADEPT
@neuroadepts · 41,375
Telegram ranks this channel #26 of 85 here — alongside 84 others — read 29 August 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,576
Telegram ranks this channel #32 of 91 here — alongside 90 others — read 12 September 2026
КиберХаб - IT и Нейросети
@kyberhub · 60,729
Telegram ranks this channel #32 of 88 here — alongside 87 others — read 22 August 2026
медиатрендс
@mediatrends · 408,451
Telegram ranks this channel #33 of 90 here — alongside 89 others — read 13 September 2026
Технологии | Нейросети | Боты
@aiaiai · 176,423
Telegram ranks this channel #35 of 93 here — alongside 92 others — read 12 August 2026
Lama AI
@lama_channel_gpt · 24,736
Telegram ranks this channel #37 of 90 here — alongside 89 others — read 15 September 2026
Tips AI | IT & AI
@tips_ai · 25,376
Telegram ranks this channel #42 of 95 here — alongside 94 others — read 14 September 2026
Цифровой Журнал | IT, Neiroseti
@chatgptv · 1,855,495
Telegram ranks this channel #43 of 89 here — alongside 88 others — read 8 August 2026
Sber AI
@SberAIScience · 27,279
Telegram ranks this channel #45 of 95 here — alongside 94 others — read 10 September 2026

This channel appears in 26 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“AI Insider” (@ai_ins), 42,069 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/ai_ins.

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.