Telegram RegisterThe public register of Telegram
Telegram profile photo for AI Insider

Channel

AI Insider

@ai_ins

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

41,437subscribers

-1,147 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
Created3 July 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 6 November 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 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 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 (4–3)

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

41,43742,58442,010.57 August 20266 November 2026
61 measurements spanning 91 days, net -1,147. 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 41,265–42,756 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
6 Nov 2026, 06:3041,437-2
5 Nov 2026, 08:1741,439-4
4 Nov 2026, 05:4741,443-12
3 Nov 2026, 05:5041,455-18
2 Nov 2026, 06:0041,473-16
1 Nov 2026, 07:1941,489-7
31 Oct 2026, 08:2041,496-15
30 Oct 2026, 08:1941,511-11
29 Oct 2026, 06:0941,522-8
28 Oct 2026, 07:1641,530-19
27 Oct 2026, 04:0741,549-8
26 Oct 2026, 06:3441,557-19
25 Oct 2026, 05:1941,576-21
24 Oct 2026, 02:5141,597-21
23 Oct 2026, 03:1141,618-19
22 Oct 2026, 00:0541,637-25
20 Oct 2026, 16:2841,662-15
19 Oct 2026, 19:0041,677-12
18 Oct 2026, 15:4641,689-14
17 Oct 2026, 18:4841,703first reading

Engagement

414 posts held, back to 3 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 255 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.88%
avg views ÷ 41,437 subscribers
Avg views / post
1,190
130 posts measured
Reaction rate
0.272%
reactions ÷ views · ER floor
Posts in window
130
of 414 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 73 of 130 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 5 November 2026
Posts held414 (3 August 2026 – 5 November 2026)
Views total155,314
Reactions total251
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 20:47 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

Video runtime
40m 04s
Average length
35s

Measured directly from 69 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

1,019 reactions across 229 posts, in 14 distinct kinds. The most used accounts for 32.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤32932.3%
🔥25024.5%
👍14013.7%
😁10210.0%
👏676.58%
🥴444.32%
😱272.65%
🌚191.86%
🤯161.57%
🤔111.08%
🏆70.687%
🤓40.393%
⚡20.196%
👨‍💻10.098%

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 272 of the 414 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 1,019 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 414 most recent posts we hold, published 3 August 2026 to 5 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.

Advertising

Ad load
0.483%
2 of 414 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
966
over 2 measured posts
Median views · rest
1,140
over 412 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
2Vfnxx7CncC130 September 202630 September 2026
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 414 most recent posts we hold, published 3 August 2026 to 5 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 130 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).

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5 Nov 2026, 12:58 UTC731 viewsread 5 November 2026
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5 Nov 2026, 09:20 UTC901 views4 reactionsread 5 November 2026
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Учёные MIT разрабатывают умный пластырь, который сможет заранее предупреждать об опасных заболеваниях Команда Массачусетского технологического института (MIT) получила финансирование до 38 млн долларов от американского агентства ARPA-H на разработку носимого медицинского устройства PYTHIA. Это будет небольшой пластырь, способный непрерывно отслеживать биомаркеры сердечной недостаточности и сепсиса — опасного осложн…

🔥4

5 Nov 2026, 06:52 UTC877 viewsread 5 November 2026
Video

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4 Nov 2026, 12:50 UTC≈1,870 viewsread 5 November 2026
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Video

Гуманоиды Xiaomi только что отработали более восьми часов на заводе автомобилей. Здорово это видеть. В последнем тесте они автономно сортировали боковые крышки центральной консоли, с двумя перерывами на зарядку. Xiaomi заявляет, что они также могут самостоятельно обнаруживать и устранять ошибки, координируя действия с производственной линией. Один робот даже подходит, чтобы поднять деталь, которую уронил другой.

👍20😁12🥴8❤3

4 Nov 2026, 06:48 UTC≈2,690 views4 reactionsread 5 November 2026
Photo

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❤3🤔1

Showing the 12 most recent of 414 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.

Posts recorded as deleted after publishing

We recorded 131 posts on @ai_ins 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
5 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
41

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 · 1,544,021
#1
1337
@media1337 · 1,107,839
#2
Нейро
@neuro_code · 55,525
#3
NN
@naebnet · 2,180,138
#4
XOR
@xor_journal · 198,734
#5
Бэкспейс & Нейролента
@backspace_media · 30
#6
Rozetked
@rozetked · 648,779
#7
GeekNeural
@geekneural · 61,411
#8
Нейродвиж
@neuraldvig · 289,322
#9
эйай ньюз
@ai_newz · 98,218
#10
Рестарт
@remedia · 670,120
#11
Denis Sexy IT 🤖
@denissexy · 140,346
#12
Технотренды
@techno_media · 921,001
#13
Не баг, а фича
@bugnotfeature · 1,160,745
#14
Код.ру
@d_code · 405,444
#15
Сегодня в тренде
@trends · 1,114,308
#16
POINT | Нейросети
@gptpublic · 259,739
#17
Не баг, а фича
@bugfeature · 554,193
#18
Новости Москвы
@moscowmap · 2,627,372
#19
The Open Ai | Нейросети
@TheOpen_Ai · 12,963
#20
GPT-4 Community
@gpt4_tg · 52,785
#21
Цифровой Журнал | IT, Neiroseti
@chatgptv · 1,885,935
#22
Метаверсище и ИИще
@cgevent · 53,530
#23
кабачковая икра по акции
@sale_caviar · 192,560
#24
Data Secrets
@data_secrets · 95,989
#25
CodeCamp
@codecamp · 177,881
#26
Айтишная
@aitshnya · 68,472
#27
r/ретранслятор
@retra · 165,794
#28
Технологии | Нейросети | Боты
@aiaiai · 174,488
#29
Programmer & IT Memes
@itmemes · 122,019
#30
Сиолошная
@seeallochnaya · 81,039
#31
Лепра
@Lepragram · 341,029
#32
Нейронавт | Нейросети в творчестве
@GreenNeuralRobots · 13,386
#33
concertzaal
@concertzaal · 896,474
#34
лидер мнений среди удобрений
@lider · 175,993
#35
Исходный код
@source_code · 33,151
#36
Neural Shit
@NeuralShit · 54,660
#37
MDK
@mudak · 524,902
#38
Нейросетевой
@first_neiro · 11,798
#39
PRO | Нейросети
@pro_neiroset · 31,378
#40
GigaChat
@official_gigachat · 303,410
#41
vc.ru
@vcnews · 112,176
#42
MarketTwits
@markettwits · 340,752
#43
Нейролента
@neirosety · 12
#44
в IT и выйти
@techmedia · 1,371,577
#45
Эксплойт
@exploitex · 2,028,945
#46
Двач
@dvachannel · 970,189
#47
Раньше всех. Ну почти.
@bbbreaking · 1,975,928
#48
Пекарня
@pekagame · 1,120,586
#49
Ньюсач/Двач
@ru2ch · 711,450
#50
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,091,275
#51
TrendWatching
@trendwatching24 · 1,385,498
#52
Медуза — LIVE
@meduzalive · 1,118,113
#53
Ateo Breaking
@ateobreaking · 742,191
#54
КБ
@cbpub · 668,221
#55
Прямой Эфир • Новости
@novosti_efir · 3,890,677
#56
Банкста
@banksta · 439,502
#57
Москвач • Новости Москвы
@moscowach · 3,900,305
#58
4ch
@why4ch · 1,023,089
#59
ЕЖ
@ejdailyru · 665,353
#60
Артемий Лебедев
@temalebedev · 970,427
#61
Алексей Шевцов
@jolybells · 357,466
#62
Новости Walt (ранее Кошелёк)
@walt_news_cis · 1,088,334
#63
Лентач
@lentachold · 391,777
#64
Банки, деньги, два офшора
@bankrollo · 461,704
#65
КОНТЕКСТ
@kontext_channel · 865,612
#66
Клиент всегда прав
@klientvsprav · 1,026,498
#67
НЕВЗОРОВ
@nevzorovtv · 1,002,619
#68
твиттота
@twitt_ota · 421,649
#69
КБ. экономика
@cb_economics · 365,247
#70
Кровавая барыня
@bloodysx · 1,173,548
#71
НМШ
@nmshhub · 673,151
#72
Креатив со звездочкой
@creative · 133,563
#73
VG/Двач
@ru2chvg · 183,075
#74
бумеры смотрят телек
@boomers_TV · 157,134
#75
4chan
@ru4chan · 182,311
#76
Пездуза
@pezduzalive · 369,264
#77
Big Geek
@biggeekru · 598,440
#78
КБ. Игры
@cb_games · 377,484
#79
NEXTA Live
@nexta_live · 767,220
#80
Москва Live
@msk_live · 2,388
#81
Ты в тренде или уходи
@trendsetter · 1,506,908
#82
Айтишка - Digital & IT
@ITtishka · 21,148
#83
Лентач
@oldlentach · 262,745
#84
Gram RUS
@toncoin_rus · 510,040
#85
Кинопоиск | Фильмы и сериалы
@kinopoisk · 794,836
#86
Mash
@mash · 3,143,205
#87
Baza
@bazabazon · 1,558,006
#88
Varlamov News
@varlamov_news · 1,059,847
#89
Анатолий Шарий
@asupersharij · 1,735,756
#90
Осторожно, новости
@ostorozhno_novosti · 1,620,717
#91
Colonelcassad
@boris_rozhin · 751,978
#92
Дудь
@yurydud · 851,224
#93
Рандомач/Двач
@rand2ch · 169,275
#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 & Нейролента
@backspace_media · 30
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 25 August 2026
MDJ Prompts
@mdj_school · 24,206
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 15 September 2026
GeekNeural
@geekneural · 61,411
Telegram ranks this channel #3 of 92 here — alongside 91 others — read 21 August 2026
Midjourney Prompts
@digital_midjourney · 28,849
Telegram ranks this channel #4 of 81 here — alongside 80 others — read 8 September 2026
Нейро
@neuro_code · 55,525
Telegram ranks this channel #4 of 96 here — alongside 95 others — read 23 August 2026
Нейроновости
@neuranews · 19,435
Telegram ranks this channel #5 of 87 here — alongside 86 others — read 30 September 2026
PRO | Нейросети
@pro_neiroset · 31,378
Telegram ranks this channel #5 of 86 here — alongside 85 others — read 5 September 2026
GPT-4 Community
@gpt4_tg · 52,785
Telegram ranks this channel #5 of 90 here — alongside 89 others — read 23 August 2026
Нейролента
@neirosety · 12
Telegram ranks this channel #9 of 87 here — alongside 86 others — read 7 September 2026
XOR
@xor_journal · 198,734
Telegram ranks this channel #9 of 93 here — alongside 92 others — read 12 August 2026
Айтишная
@aitshnya · 68,472
Telegram ranks this channel #10 of 93 here — alongside 92 others — read 20 August 2026
НейроТудей | Переходник
@NeuralToday · 4
Telegram ranks this channel #11 of 85 here — alongside 84 others — read 7 September 2026
Исходный код
@source_code · 33,151
Telegram ranks this channel #13 of 93 here — alongside 92 others — read 4 September 2026
POINT | Нейросети
@gptpublic · 259,739
Telegram ranks this channel #17 of 90 here — alongside 89 others — read 10 August 2026
Нейросеть видит
@neuroset_vidit · 125,266
Telegram ranks this channel #24 of 84 here — alongside 83 others — read 28 August 2026
PROAI
@pro_ai_news · 87,666
Telegram ranks this channel #25 of 92 here — alongside 91 others — read 16 August 2026
NeuroADEPT
@neuroadepts · 40,469
Telegram ranks this channel #26 of 85 here — alongside 84 others — read 29 August 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,056
Telegram ranks this channel #32 of 91 here — alongside 90 others — read 12 September 2026
КиберХаб - IT и Нейросети
@kyberhub · 59,285
Telegram ranks this channel #32 of 88 here — alongside 87 others — read 22 August 2026
медиатрендс
@mediatrends · 573,040
Telegram ranks this channel #33 of 90 here — alongside 89 others — read 13 September 2026
Chad GPT | Нейросети
@AI_Chad · 20,717
Telegram ranks this channel #35 of 79 here — alongside 78 others — read 24 September 2026
Технологии | Нейросети | Боты
@aiaiai · 174,488
Telegram ranks this channel #35 of 93 here — alongside 92 others — read 12 August 2026
Lama AI
@lama_channel_gpt · 24,095
Telegram ranks this channel #37 of 90 here — alongside 89 others — read 15 September 2026
Neural Brain - Нейросети
@neural_braining · 21,256
Telegram ranks this channel #40 of 90 here — alongside 89 others — read 23 September 2026

This channel appears in 30 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 6 November 2026 — this entry's latest reading, not the date you are reading this.

“AI Insider” (@ai_ins), 41,437 subscribers as measured 6 November 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.