Personal blog — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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.
Growth
66 measurements spanning 98 days, net +1,573. 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 16,653–20,820 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
11 Nov 2026, 20:07
20,145
-14
10 Nov 2026, 00:40
20,159
-14
8 Nov 2026, 17:16
20,173
-27
7 Nov 2026, 13:20
20,200
-24
6 Nov 2026, 12:35
20,224
-14
5 Nov 2026, 13:25
20,238
-9
4 Nov 2026, 13:06
20,247
-18
3 Nov 2026, 13:10
20,265
-6
2 Nov 2026, 10:54
20,271
-8
1 Nov 2026, 08:28
20,279
-12
31 Oct 2026, 08:54
20,291
-27
30 Oct 2026, 05:20
20,318
-21
29 Oct 2026, 07:59
20,339
+65
28 Oct 2026, 07:06
20,274
+20
27 Oct 2026, 08:21
20,254
+157
26 Oct 2026, 05:37
20,097
+5
24 Oct 2026, 02:46
20,092
+43
23 Oct 2026, 02:21
20,049
+28
21 Oct 2026, 23:15
20,021
+116
20 Oct 2026, 15:37
19,905
first reading
Engagement
69 posts held, back to 19 June 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 84 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
33.9%
avg views ÷ 20,145 subscribers
Avg views / post
6,840
21 posts measured
Reaction rate
0.208%
reactions ÷ views · ER floor
Posts in window
21
of 69 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 12 November 2026
Posts held
69 (19 June 2026 – 12 November 2026)
Views total
143,545
Reactions total
298
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 07:15 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
362
Videos
63
Links
545
Lifetime counters from Telegram’s own channel header, read 13 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
1m 59s
Average length
1m 00s
Measured directly from 2 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
1,146 reactions across 67 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👾
1,146
100.0%
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 69 of the 69 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 1,163 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 19 June 2026 to 12 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.
Telegram Stars
Stars received
8
across the posts below
Posts paid on
5
of 69 we hold a reading for · 7%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sburyi. 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 69 most recent posts we hold for this entry, published 19 June 2026 to 12 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 21 posts held from the last 30 days (19.0%) 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).
Хуанг, историю которого я рассказывал ещё пару лет назад, покинул пост гендиректора NVIDIA — самой дорогой компании мира. Вероятно, главной компании XXI века после Apple и одной из ключевых корпораций для ИИ сектора, а значит и всей (мировой) экономики.
Хотел сегодня на радио рассказать эту историю, как Хуанг-мужчина переспал с Хуанг-женщиной, не подхватил Мегаспид, в которой эта женщина работала, но мощнейшим образ…
Сходили с Димой на федеральное радио, вещающее в том числе из Петербурга.
Говорили, конечно, про ИИ. Вроде самое интересное было ближе к концу, где я запретил людям засовывать голову в 3D-принтер 🙂 хотя ведущая сказала, что в косметологии что-то такое применяется (правда, не с 3D-принтером, разумеется)
Ну а в целом из интересного и обсужденного, пожалуй, отмечу простую методику, как работать даже на уровне страны …
Курс по ИИ-безопасности в школах должен стать обязательным, уверен Дмитрий Зимин
Эксперт по развитию ИИ-продуктов считает, что обучение нейросетями должно строиться именно в игровом формате.
"Иначе мы рискуем внушить поколению молодых ребят, что это что-то опасное и главное — не уходить туда. А искусственный интеллект — это действительно полезные технологии", — отметил Зимин.
Журналист Сергей Бурый добавил, что но…
То ли под Новый год, то ли просто так, от души, запускаю очередной аукцион невиданной щедрости 👾
Мы тут решили переработать курс по освоению ИИ агентов в максимально удобной упаковке, с простейшей оплатой и, вероятно, самой низкой ценой ever.
Через пару часов после старта вы уже начнёте вайкбодить, а спустя 2-3 модуля (это тоже оч быстро) возникнет мысль, почему вы не освоили это чуть раньше (у меня было именно так…
Иногда я веду Хабр и вхожу там то в топ-500, в топ-1000, причём каждую неделю по разному.
Сегодня публиковал очередной поп-хит на такую массово востребованную тему, как
взаимодействие ИИ и файла robots txt,
а параллельно увидел текст дня почти на 100k просмотров про длинные тире. Это, что называется, моя тема, поэтому зашёл почитать.
И... мне понравилось. Правда, слишком много и по сюжету всё сразу понятно, поэто…
Давайте тест, забавно это или нет. Ставьте 👾 и пишите в комментах то, что просит мой мультяшный герой и робошаверма в ролике. Где-то итераций 36 и пару дней у меня ушло на это в параллель с остальными делами, очень хотелось сделать что-то ну плюс-минус с похожей внешностью, голосом, робошавермой с курицей-гриль на голове, а также типичным Петербургом, включающим множество архетипов (в первых версиях ещё пудра от пыше…
Недавно зацепила какая-то песня из совершенно случайных, Птицы улетают на юг, иркутской рок-группы.
А ещё я посмотрел пару роликов так называемого Лёхи из группы БАУ, где он рассуждал про интересную коллизию.
Суть в том, что если ты записываешь живые инструменты, то (разумеется) они всегда получаются криво и косо. Даже если человек играет более-менее приемлемо (а такого почти не бывает), микрофон всё равно не возьм…
Я так и не понял, как так получилось, что на Claude Code и Codex можно без всяких хиггсфилдов и других доп подписок делать видео. Но совершенно очевидно, что это уже некоторое время приличный такой тренд, услуга на рынке и всякое такое. При этом, разумеется, об этом знают только те, кто в ИИ пузыре, 90%+ не в курсе (и хорошо) 👾
Вы тоже делаете видео с агентами?
Кидайте в комменты ваши работы, аккаунты или просто ин…
Появилась такая простая гипотеза 👾
Опять про зловещую Ларису, как обычно
Гипотеза золотого сечения зловещей долины: эффект зловещей долины возникает при достижении искусственным антропоморфным объектом критического уровня воспринимаемого сходства с человеком, соответствующего обратному золотому сечению (φ⁻¹ ≈ 0,618, или 61,8%). При преодолении этого порога положительное восприятие объекта сменяется психологическим …
Эта первая из моих обложек, которая не прошла модерацию стриминговых сервисов (музыка, книги, видео — для себя и многих других).
Внимание, вопрос: почему? 🤔
ответ у меня есть
Постоянно теперь пишут, что Claude опять банит.
Меня-то он уже давно забанил во всех ипостасях, и я решил пользоваться им только для наших корпоративных нужд, не своими руками. Так даже лучше — в основе моей агентной системы Codex — а диверсификация никогда не помешает.
И вот у меня к вам, кстати, вопрос — у нас тут довольно обширное комьюнити, обширнее иных инфарктов.
То, чем вы пользуетесь, умеет делать видео из…
Наконец-то искусственный интеллект добрался до Кирово-Чепецка и Кандалакши 🤘
Мой давний приятель по спортивной журналистике, известный видеоблогер Карен Адамян проехался с документальным проектом «ЖПТ» по десяти неочевидным городам России:
Выборг, Горно-Алтайск, Кирово-Чепецк, Светлогорск, Таруса, Кандалакша, Коломна, Листвянка, Железноводск и Туапсе.
Суть в том, что герои из разных регионов страны пробуют использ…
👾18
Showing the 12 most recent of 69 posts we hold for @sburyi. 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
@sburyi 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
14 August 2026
Most recent edit
1 September 2026
Posts recorded as deleted after publishing
We recorded 7 posts on @sburyi 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
12 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
3
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.
The shares total 145%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 69 most recent posts we hold, published 19 June 2026 to 12 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 11 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.
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 4 October 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.
Миша, давай по новой @misha_davai_po_novoi · 19,109 Telegram ranks this channel #2 of 95 here — alongside 94 others — read 4 October 2026
Tips AI | IT & AI @tips_ai · 25,790 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 14 September 2026
Силиконовый Мешок @prompt_design · 93,512 Telegram ranks this channel #3 of 96 here — alongside 95 others — read 18 August 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,630 Telegram ranks this channel #4 of 96 here — alongside 95 others — read 18 September 2026
Технологии | Нейросети | Боты @aiaiai · 174,276 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 12 August 2026
CyberYozh AI Security @CyberYozh_AI_security · 26,008 Telegram ranks this channel #17 of 91 here — alongside 90 others — read 12 September 2026
Neurogen @neurogen_news · 22,907 Telegram ranks this channel #20 of 88 here — alongside 87 others — read 19 September 2026
e/acc @cryptoEssay · 63,674 Telegram ranks this channel #20 of 96 here — alongside 95 others — read 21 August 2026
Метаверсище и ИИще @cgevent · 53,671 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 25 August 2026
Ai molodca @strangedalle · 47,615 Telegram ranks this channel #22 of 94 here — alongside 93 others — read 27 August 2026
Нейроскептик @neuroskep · 29,742 Telegram ranks this channel #30 of 90 here — alongside 89 others — read 8 September 2026
NeuroADEPT @neuroadepts · 40,322 Telegram ranks this channel #31 of 85 here — alongside 84 others — read 29 August 2026
ИИ Представляет @iirepresent · 115,464 Telegram ranks this channel #37 of 86 here — alongside 85 others — read 23 August 2026
Смотри, Морозов и ИИ @mmmorozov · 63,076 Telegram ranks this channel #38 of 96 here — alongside 95 others — read 23 August 2026
Serge_AI 1.0 @serge_ai · 56,410 Telegram ranks this channel #40 of 99 here — alongside 98 others — read 23 August 2026
🟡NeuroGraph @neyr0graph · 34,271 Telegram ranks this channel #46 of 90 here — alongside 89 others — read 3 September 2026
Lama AI @lama_channel_gpt · 24,017 Telegram ranks this channel #50 of 90 here — alongside 89 others — read 15 September 2026
PROAI @pro_ai_news · 87,204 Telegram ranks this channel #50 of 92 here — alongside 91 others — read 16 August 2026
Нейроновости @neuranews · 19,384 Telegram ranks this channel #56 of 87 here — alongside 86 others — read 30 September 2026
SYNTX FAMILY @syntxfamily · 323,853 Telegram ranks this channel #62 of 93 here — alongside 92 others — read 22 August 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 76,777 Telegram ranks this channel #63 of 94 here — alongside 93 others — read 29 August 2026
Sber AI @SberAIScience · 26,483 Telegram ranks this channel #68 of 95 here — alongside 94 others — read 10 September 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney @neural_houses · 44,072 Telegram ranks this channel #82 of 92 here — alongside 91 others — read 28 August 2026
This channel appears in 23 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Бурый” (@sburyi), 20,145 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/sburyi.
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.