29 measurements spanning 33 days, net -1,477. 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 44,739–46,661 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
9 Sept 2026, 00:39
44,961
-153
5 Sept 2026, 17:19
45,114
-93
3 Sept 2026, 17:58
45,207
-82
2 Sept 2026, 10:35
45,289
-60
1 Sept 2026, 12:23
45,349
-29
31 Aug 2026, 14:26
45,378
-46
30 Aug 2026, 15:04
45,424
-43
29 Aug 2026, 15:33
45,467
-31
28 Aug 2026, 16:07
45,498
-40
27 Aug 2026, 14:05
45,538
-29
26 Aug 2026, 12:46
45,567
-73
25 Aug 2026, 11:24
45,640
-56
24 Aug 2026, 08:04
45,696
-60
22 Aug 2026, 19:04
45,756
-65
21 Aug 2026, 08:12
45,821
-53
20 Aug 2026, 09:11
45,874
-46
19 Aug 2026, 11:15
45,920
-55
18 Aug 2026, 10:48
45,975
-42
17 Aug 2026, 09:58
46,017
-127
15 Aug 2026, 17:26
46,144
first reading
Engagement
33 posts held, back to 9 July 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 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.28%
avg views ÷ 44,961 subscribers
Avg views / post
1,020
13 posts measured
Reaction rate
1.73%
reactions ÷ views · ER floor
Posts in window
14
of 33 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 8 September 2026
Posts held
33 (9 July 2026 – 8 September 2026)
Views total
13,321
Reactions total
231
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Sept 2026, 23:00 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
12m 58s
Average length
46s
Measured directly from 17 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
579 reactions across 32 posts, in 15 distinct kinds. The most used accounts for 20.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
117
20.2%
😁
113
19.5%
👏
58
10.0%
❤
49
8.46%
😱
39
6.74%
🏆
36
6.22%
👍
31
5.35%
🤯
30
5.18%
🤔
24
4.15%
🤪
24
4.15%
🤩
21
3.63%
👀
15
2.59%
🆒
14
2.42%
💔
7
1.21%
🙏
1
0.173%
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 32 of the 33 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 579 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 9 July 2026 to 8 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 32 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @airobots_news. 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 33 most recent posts we hold for this entry, published 9 July 2026 to 8 September 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.
Higgsfield опять штурмует инфополе. Встречайте GAMES 2.0 🎮
Теперь пилить свои игры можно просто по промпту. За мозг отвечает GPT-6 Astra, за визуал — нейронки от Higgsfield. Крутят 3D и анимацию на ура, а тестировать можно прямо через плагин в ChatGPT.
Технологически — это разрыв. Практически — пока спорно. Для обычного юзера это скорее залипалка на вечер, зато блогеры уже прогревают прогревы в духе «Создаем конкуре…
Tesla начала производство человекоподобных роботов Optimus на заводе во Фримонте.
Стоимость одного Optimus, по планам Илона Маска, может составить от $20 тыс. Робота позиционируют как универсального помощника, способного выполнять физическую работу на предприятиях и в перспективе — бытовые задачи в доме.
Маск рассчитывает, что Optimus станет первым массовым полнофункциональным гуманоидным роботом для домашнего испо…
Создатель фейковых пробок в Google Maps теперь сделал рубашку, которая прячет человека от ИИ-камер.
Берлинский художник Саймон Веккерт выпустил Digital Camouflage — максимально кричащую гавайку с узором, который мешает алгоритму собрать голову, руки и тело в привычный силуэт человека.
Дизайн буквально выращивали против ИИ: разные версии узора снова и снова прогоняли через детектор YOLO, пока тот не стал заметно хуж…
Конспирологи раскрыли страшную тайну: наводнение в Непале — это начало конца света. Такие же кадры уже были показаны в фильме-катастрофе «2012». Также сегодняшние события были частично предсказаны на обложке журнала Economist на 2026 год.
Спойлеры на осень выглядят офигенно 🤪
Прямо сейчас в Пекине проходит олимпиада для роботов 🤖
666 команд и 16 стран. До 26 августа они будут соревноваться в беге, играть в футбол , настольный теннис, драться, танцевать и поднимать тяжести.
😮На открытии робот уже пробежал 100 метров за 9,39 секунды и прыгнул с места на 2,88 метра, побив человеческие рекорды!
Чтобы обучить Claude, Anthropic буквально уничтожила миллионы бумажных книг
The Washington Post выпустили статью, в которой говорится, что они изучили документы из судебного дела против Anthropic под секретным названием «Project Panama».
Схема следующая: компания массово покупала обычные бумажные книги. Иногда десятками тысяч экземпляров за раз. Затем им срезали корешки промышленным резаком, страницы прогоняли чер…
Adobe уволил инженера с 25-летним стажем. Следующий год Джеймс Строун пытался найти работу по специальности, но не смог: его резюме не проходило фильтры ИИ, а эйчары игнорировали его или мариновали ожиданием. В итоге Строун пошёл работать водителем школьного автобуса. В Твиттере эту историю назвали самой наглядной иллюстрацией рынка найма в 2026 году.
Будет рассказывать детям, что IT — бесперспективная и неблагодарн…
🤩5😱3
Showing the 12 most recent of 33 posts we hold for @airobots_news. 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
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Read from Telegram’s recommendation API, most recently 27 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.
Telegram пиф-паф Hunters @clickerhunters · 359,686 Telegram ranks this channel #73 of 80 here — alongside 79 others — read 12 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“🤖Нейросети и роботы” (@airobots_news), 44,961 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/airobots_news.
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.