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 8 August 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and 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)
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. None of the 3 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 937 comparable posts for this entry, running 8 August 2025 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 @hiaimedia. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_mutual · clone_source, 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.
50 measurements spanning 83 days, net +103,923. 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 824,072–968,486 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)
Subscribers
Change
27 Oct 2026, 15:08
944,658
-458
26 Oct 2026, 16:57
945,116
-679
25 Oct 2026, 16:56
945,795
-1,019
24 Oct 2026, 16:09
946,814
-1,316
23 Oct 2026, 14:55
948,130
-1,220
22 Oct 2026, 17:20
949,350
-2,473
21 Oct 2026, 09:20
951,823
+2,345
20 Oct 2026, 04:01
949,478
+2,510
19 Oct 2026, 05:57
946,968
+1,079
18 Oct 2026, 07:47
945,889
+890
17 Oct 2026, 06:00
944,999
+1,138
16 Oct 2026, 02:46
943,861
+1,307
15 Oct 2026, 00:05
942,554
+1,546
13 Oct 2026, 18:47
941,008
+11,330
9 Oct 2026, 23:41
929,678
+11,445
5 Oct 2026, 17:57
918,233
-5,334
30 Sept 2026, 03:58
923,567
+1,041
17 Sept 2026, 23:38
922,526
+5,185
15 Sept 2026, 20:16
917,341
+10,242
14 Sept 2026, 02:01
907,099
first reading
Engagement
1,230 posts held, back to 8 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 232 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.66%
avg views ÷ 944,658 subscribers
Avg views / post
15,700
102 posts measured
Reaction rate
0.713%
reactions ÷ views · ER floor
Posts in window
102
of 1,230 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 26 October 2026
Posts held
1,230 (8 August 2025 – 26 October 2026)
Views total
1,601,030
Reactions total
11,412
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Oct 2026, 05:05 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
1h 21m
Average length
47s
Measured directly from 104 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
2 most recently posted, with a view-velocity reading
60 minutes: 4,067 interp. → 3.0 hours: 6,360 → 6.0 hours: 9,380still climbing at last reading
not yet at 24h
1.7 hoursprovisional — final view count still climbing
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
32,455 reactions across 286 posts, in 13 distinct kinds. The most used accounts for 38.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
12,607
38.8%
🤣
5,948
18.3%
🔥
5,436
16.7%
🤔
2,126
6.55%
👎
1,763
5.43%
😱
1,672
5.15%
🤬
982
3.03%
😭
896
2.76%
👍
534
1.65%
😎
278
0.857%
🎃
75
0.231%
🏆
72
0.222%
🦄
66
0.203%
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 1,000 of the 1,000 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 138,572 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 19 November 2025 to 26 October 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
66
across the posts below
Posts paid on
21
of 1,000 we hold a reading for · 2%
Most on one post
20
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai4telegram. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 19 November 2025 to 26 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
0.2%
2 of 1,000 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
12,500
over 2 measured posts
Median views · rest
20,100
over 998 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqwmWTdE
1
1 October 2026
1 October 2026
2W5zFK45MAR
1
13 August 2026
13 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 1,000 most recent posts we hold (the sample is capped at 1,000), published 19 November 2025 to 26 October 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.
🙂 OpenAI выпустили GPT-6.1 Terra. Новинка вдвое дешевле GPT-5.6 Terra, но обходит в агентных бенчмарках и ее, и флагманскую GPT-6 Astra.
Разработчики делают упор на визуальное размышление и использование компьютера. Галлюцинаций стало сильно меньше, а в кодинге GPT-6.1 Terra более чем вдвое лучше предшественницы.
Попробовать модель уже можно в ChatGPT (но только платным подписчикам).
💰 Anthropic выходит на биржу. Стартап подал документы по форме S-1 в Комиссию по ценным бумагам США (SEC). Акции получат тикет $ANT на Nasdaq.
FT пишет, что IPO может состояться уже в ноябре, но официальной даты пока нет.
Купили бы акции Anthropic?
❤️ — да, конечно!
👎 — нет, это же пузырь
🎃 Вампиры точат клыки, оборотни собираются в стаи, призраки и зомби возвращаются в мир людей — запускаем грандиозную хэллоуинскую битву!
На кону Premium X2 на год и еще 2 000 призов для активных участников.
Как вступить в битву:
1️⃣ Зайдите в приложение и выберите сторону: вампиры или оборотни.
2️⃣ Генерируйте фото и видео с любимыми персонажами и жуткие хэллоуинские образы.
3️⃣ Получайте очки, ведите свою команду…
❤ Пес в костюме дата-центра покорил зрителей «собачьего хэллоуина» Bark Bash в Вирджинии.
К слову, фестиваль проходит в Ашберне, округ Лаудон. Это практически «столица дата-центров» США — в округе уже работают и строятся более 200 ЦОДов. По прогнозу властей, в 2027 году они принесут в местный бюджет свыше $1,3 млрд — 40% от общей суммы.
🔍 Claude «спалил», что пользователь из России, и отказался дальше работать над задачей.
Проверяя сетевой интерфейс, агент обнаружил, что пользователь находится в России, и отказался продолжать работу, сославшись на правила Anthropic. Иронично, что задачей было как раз настроить VPN-конфиг.
«Скажу более — он же мне маршруты для обходов и настраивал», — делится автор скриншота.
UPD: Внимательные читатели указали, чт…
💡 Математик, филдсовский лауреат Ричард Борчердс перестал проверять домашние задания у своих студентов — из-за ИИ это больше не имеет смысла.
Борчердс считает, что если ИИ продолжит совершенствоваться такими же темпами, то через несколько лет нейросети во всем обойдут людей-математиков. Из-за этого он даже не уверен, стоит ли звать новых студентов на свой факультет.
«Я понятия не имею, что посоветовать. Я даже зада…
🤩 Windows XP сегодня 25 лет — 25 октября 2001 года в продажу поступила англоязычная версия ОС.
На пике в 2007 на WinXP работали порядка 85% всех ПК в мире. Сегодня доля XP примерно 0,05%.
А вы застали Windows XP?
❤️ — конечно, любимая ОС
🤣 — я не так стар
🇨🇳 Вышла Kimi K3.1 Pro — новый китайский ИИ-флагман по бенчмаркам примерно на уровне Opus 5.5 и GPT-6 Astra. Заметно модель уступает им только в научном Terminal-Bench Science 0.1.
У новинки 2,8 трлн параметров (104 млрд активных) и контекст в 1 млн токенов. Модель подходит для разработки полномасштабных проектов, вплоть до целых игр на Unity.
➡️ Попробовать уже можно на сайте Kimi. По API также доступен скоростной…
💰 BioWare хотят возродить на деньги канадского правительства. Лидер Новой демократической партии Канады Ави Льюис призвал власти помочь сотрудникам студии выкупить ее, чтобы они могли продолжить независимо делать игры.
EA объявила о закрытии создателей Mass Effect и Dragon Age 21 октября, сославшись на смену приоритетов. Льюис же считает, что студию угробили новые владельцы EA — консорциум во главе с Суверенным фонд…
🔍 Школа маркетинга Илона Маска. SpaceXSI купили в Google рекламу по запросу «openai dot», и теперь первой в выдаче стоит не агент от OpenAI, а ссылка на Grok Bot с подписью «Grok Bot лучше».
Это нормально?
❤️ — да, честная реклама
🔥 — жуткий кринж
✏️ Ideogram запустили ИИ-редактор векторных изображений. Новая модель генерирует SVG-картинки и позволяет точечно их править, причем не сбивается даже после многих правок подряд.
Также можно перевести обычную картинку в вектор с помощью ИИ и дорабатывать уже ее форму и цвета.
➡️ Попробовать можно здесь.
🔥13🤣6❤5
Showing the 12 most recent of 1,230 posts we hold for @ai4telegram. 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
@ai4telegram edited 3 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
18 September 2026
Most recent edit
9 October 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 17 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@ai4telegram named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@gpt5tbot named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 18 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@themokumentary named in 1 post, 8 August 2026 – 8 August 2026
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.
Read from Telegram’s recommendation API, most recently 8 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.
ChatGPT, помоги! @GPThelp_ru · 531,481 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 10 August 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 39,368 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 29 August 2026
Hi, AI • Новости технологий @hiaimedia · 2,685,355 Telegram ranks this channel #5 of 81 here — alongside 80 others — read 8 August 2026
IT с перцем @hotcodeit · 153,569 Telegram ranks this channel #11 of 77 here — alongside 76 others — read 12 August 2026
Discover • Tech News @perplexity · 1,432,432 Telegram ranks this channel #11 of 86 here — alongside 85 others — read 8 August 2026
ChatGPT, help me ! @ai_perplexity · 42,871 Telegram ranks this channel #12 of 65 here — alongside 64 others — read 29 August 2026
Soonicorn jobs @soonicornjobs · 31,049 Telegram ranks this channel #16 of 78 here — alongside 77 others — read 7 September 2026
TechGPT [🅽 🅴 🆆 🆂] 🤖 @TechGPTNews · 264,533 Telegram ranks this channel #18 of 60 here — alongside 59 others — read 10 August 2026
Hi, AI • Noticias sobre la IA @hiaimediaes · 59,943 Telegram ranks this channel #37 of 67 here — alongside 66 others — read 21 August 2026
Hi, AI • Tech News @hiaimediaen · 570,466 Telegram ranks this channel #45 of 83 here — alongside 82 others — read 9 August 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
237 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
chat.z.airegistrable domain: z.ai1 post · 11 February 2026 – 11 February 2026 · example post
1 of 237 shown as text only, not a link. The exact host, not merely a domain it shares a registrable root with, matches a threat-intelligence blocklist this register already checks elsewhere (see methodology) — the link still appearing in a post is still a measured fact and is still shown, but no anchor is rendered here, so no click and no link equity passes to it from this page.
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 27 October 2026 — this
entry's latest reading, not the date you are reading this.
“AI и точка.” (@ai4telegram), 944,658 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/ai4telegram.
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.