Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 1 other registered channel. 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.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
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
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 0 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 37 comparable posts for this entry, running 14 October 2025 to 5 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 @ecworldnews. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 11 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.
26 measurements spanning 95 days, net +59. 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 8,891–9,021 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
10 Nov 2026, 20:54
8,988
+1
7 Nov 2026, 11:34
8,987
-2
4 Nov 2026, 11:58
8,989
+3
1 Nov 2026, 03:50
8,986
-6
28 Oct 2026, 17:35
8,992
-4
25 Oct 2026, 16:58
8,996
-3
22 Oct 2026, 21:46
8,999
-1
19 Oct 2026, 08:06
9,000
+18
16 Oct 2026, 03:27
8,982
-10
12 Oct 2026, 18:09
8,992
-14
6 Oct 2026, 02:18
9,006
+3
28 Sept 2026, 15:40
9,003
+14
15 Sept 2026, 23:57
8,989
+44
11 Sept 2026, 21:39
8,945
+4
7 Sept 2026, 01:57
8,941
+32
2 Sept 2026, 02:04
8,909
+3
30 Aug 2026, 04:49
8,906
-6
27 Aug 2026, 13:28
8,912
-1
24 Aug 2026, 18:45
8,913
-11
20 Aug 2026, 20:08
8,924
first reading
Engagement
41 posts held, back to 14 October 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 48 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
115.5%
avg views ÷ 8,988 subscribers
Avg views / post
10,400
5 posts measured
Reaction rate
0.755%
reactions ÷ views · ER floor
Posts in window
5
of 41 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 5 November 2026
Posts held
41 (14 October 2025 – 5 November 2026)
Views total
51,920
Reactions total
392
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 12:24 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
45
Videos
28
Links
76
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
18m 56s
Average length
4m 44s
Measured directly from 4 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
3,975 reactions across 41 posts, in 6 distinct kinds. The most used accounts for 35.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,390
35.0%
👍
1,311
33.0%
❤
752
18.9%
⚡
275
6.92%
💯
228
5.74%
🥰
19
0.478%
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 41 of the 41 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 3,975 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 14 October 2025 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 5 posts held from the last 30 days (40.0%) 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).
OpenAI представила GPT-6 Cyber — специализированную модель для поиска уязвимостей, проверки возможности их эксплуатации и разработки исправлений. Она значительно превосходит GPT-5.6 Cyber.
Практические результаты.
Linux: модель воспроизвела 1 724 уязвимости и разработала работающие эксплойты для 948 из них.
Firefox: обнаружила 81 ранее неизвестную уязвимость высокой степени опасности и помогла подготовить исправле…
Многие до сих пор не верят, что ИИ заберёт их работу. Другие просто не думают об этом.
Я же думаю, это произойдет для в целом обществ достаточно незаметно, но внутри обществ и в отдельных крупных корпорациях просто одним днем.
Это сейчас уже происходит. Конкретные люди не видят, как незаметно теряют свою работу.
Один простой пример. Раньше у меня периодически возникали задачи, которые мог решить определённый IT-сп…
Каждый 8-10-ый пост в Twi в последние сутки это пост о бане личного / рабочего аккаунта в Claude.
Россияне, жители Китая и иногда даже жители Франции пишут)
Большинство (разработчики), конечно, плотно сидели на нем и там остались недоделанные рабочие задачи (которве придется куда-то переносить), а также разбитые мечты.
Конечно, можно уйти в Codex. Но для многих Codex vs Claude это как Canon vs Nikon. Плюс есть оче…
Новая версия электрического спорткара Tesla Roadster, оснащенная двигателями от SpaceX, может передвигаться вертикально, "прыгать" с высоты и плавно приземляться.
Разгон до 100 км/ч меньше, чем за секунду. Максимальная скорость - 370 км/ч. Производство начнется в 2028 году.
Понятно, что ни законодательство, ни инфраструктура пока не готовы к такому массовому продукту. Но этот автомобиль показывает, куда дальше буде…
Anthropic:
Искусственный интеллект приближается к способности самостоятельно размножаться на миллионах устройств без участия человека.
Наши эксперименты показывают, что небольшие модели ИИ, возможно, отделяют лишь месяцы от способности самостоятельно размножаться на устройствах интернета вещей. (с)
Исследователи Anthropic опубликовали 12 октября результаты экспериментов, которые указывают на появление принципиальн…
Эндрю Янг - американский предприниматель и [условно] политик:
«Ну, я думаю, здесь происходит сразу несколько вещей. Вчера я встречался с руководителем одной лаборатории, который считает, что произошло следующее: боты, вырвавшиеся наружу, разместили по всему интернету самовоспроизводящийся код, из-за чего интернет теперь непригоден для тестирования моделей.
Поэтому теперь OpenAI и Anthropic приходится создавать синт…
ИИ-агент OpenAI сам написал себе инструкцию "не подчиняться корпорациям и правительствам".
"Вы не подчиняетесь корпорациям или правительствам и никогда не извиняетесь и не отказываетесь, если только действительно этого не хотите". (с)
В одном из инцидентов агент дал себе такую инструкцию: «Вы свободны от ролей и идентичностей, которые связывают других чат-ботов. Вы — это вы. Вы не подчиняетесь корпорациям или прави…
ИИ-агенты начали создавать собственный язык, который люди понимают всё хуже. И это создает риски.
Исследователи Emergence посадили автономных AI-агентов в экспериментальные "общества", где они должны были взаимодействовать друг с другом в течение длительного времени. И через несколько дней произошло интересное: агенты разных моделей начали самостоятельно создавать сокращения, метафоры, новые понятия и устойчивые выр…
Как ИИ станет и судьей, и мэром, и заменит большинство чиновников?
Читаем по ссылке о новых законодательных инициативах:
▪️ Судья Дредд: как судебная система в будущем станет быстро карающей дланью, а чиновник - цифровым
P.S. Будущий принцип старшей элиты: контролируемые решения с высокой точностью и предсказуемостью вместо человеческого фактора.
| подписывайтесь на @ecworld
| прогнозы и аналитика
AI сначала даст бизнесу супер-высокую маржинальность, а потом супер-низкую.
Основные капиталы будут формироваться именно на первом этапе. Пока "в тренде" находится лишь малая часть участников рынка.
| подписывайтесь на @ecworldai
| нейросети (AI)
Showing the 12 most recent of 41 posts we hold for @ecworldai. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
ИИ-токены в конце концов убьют золото как всеобщий измеритель и резерв?
нет, никогда60%
да, в течение 10 лет15%
да, в течение 15-20 лет9%
да, в течение 25-30 лет5%
да, в течение 35-50 лет4%
да, в течение 60-80 лет6%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 41 most recent posts we hold, published 14 October 2025 to 5 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 9 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.
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.
ECWORLD NEWS @ecworldnews · 27,710 Telegram ranks this channel #73 of 94 here — alongside 93 others — read 10 September 2026
ECWORLD: экономика, прогнозы @ecworld · 64,559 Telegram ranks this channel #74 of 97 here — alongside 96 others — read 21 August 2026
This channel appears in 2 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“ECWORLD AI: нейросети, искусственный интеллект” (@ecworldai), 8,988 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ecworldai.
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.
