Telegram RegisterThe public register of Telegram

Channel

Юрий Курилов | Нейросети

@kurilov_neiro

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

18,389subscribers

-22 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001569289889
TypeChannel
Username@kurilov_neiro
DescriptionЗдесь вы найдете новости из мира нейросетей. Также я на понятном простом языке дам вам идеи, подсказки и мини-инструкции по практическому применению нейросетей. Канал рассчитан на широкую аудиторию.
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/kurilov_neiro

Topic

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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 why it has no browse page of its own yet.

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
@kurilov_neiro/1014 · this entry26 Mar 2026, 11:52 UTC@kurilov_stocks/22226 Mar 2026, 11:52 UTC1.00under a minute
@kurilov_neiro/1016 · this entry2 Apr 2026, 14:13 UTC@kurilov_stocks/2232 Apr 2026, 14:13 UTC1.00under a minute
@kurilov_neiro/1018 · this entry10 Apr 2026, 10:28 UTC@kurilov_stocks/22510 Apr 2026, 10:28 UTC1.00under a minute
@kurilov_neiro/1027 · this entry15 May 2026, 12:59 UTC@kurilov_stocks/23315 May 2026, 13:00 UTC1.0072 seconds
@kurilov_neiro/1028 · this entry21 May 2026, 13:17 UTC@kurilov_stocks/23421 May 2026, 13:20 UTC1.002 minutes
@kurilov_neiro/1029 · this entry5 Jun 2026, 10:37 UTC@kurilov_stocks/2355 Jun 2026, 10:39 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@kurilov_stocks19 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (172)
@ykurilov_infobiz16 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (151)

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 21 comparable posts for this entry, running 11 March 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 @kurilov_neiro — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key 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.

Growth

18,36318,41118,3877 August 2026 — 18,411 subscribers7 August 2026 — 18,411 subscribers7 August 2026 — 18,391 subscribers8 August 2026 — 18,385 subscribers9 August 2026 — 18,369 subscribers10 August 2026 — 18,363 subscribers11 August 2026 — 18,386 subscribers12 August 2026 — 18,389 subscribers18,3897 August 202612 August 2026
8 measurements spanning 5 days, net -22. 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 18,356–18,418 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 18:0518,389+3
11 Aug 2026, 21:0518,386+23
10 Aug 2026, 20:0118,363-6
9 Aug 2026, 19:1118,369-16
8 Aug 2026, 18:3218,385-6
7 Aug 2026, 21:5018,391-20
7 Aug 2026, 09:3018,411no change
7 Aug 2026, 09:2018,411first reading

Engagement

21 posts held, back to 11 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.81%
avg views ÷ 18,389 subscribers
Avg views / post
1,620
3 posts measured
Reaction rate
0.658%
reactions ÷ views · ER floor
Posts in window
3
of 21 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held21 (11 March 20267 August 2026)
Views total4,860
Reactions total32
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 00:11 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
589
Videos
144
Links
276

Lifetime counters from Telegram’s own channel header, read 13 August 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
34s
Average length
17s

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

328 reactions across 21 posts, in 10 distinct kinds. The most used accounts for 41.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍13641.5%
9829.9%
🔥6720.4%
💊185.49%
👏20.61%
💔20.61%
😭20.61%
🎃10.305%
😍10.305%
🤣10.305%

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 21 of the 21 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 328reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 11 March 2026 to 7 August 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

7 Aug 2026, 11:19 UTC≈1,160 views22 reactionsread 13 August 2026
Video

«Секреты генеративного творчества» БЕСПЛАТНЫЙ ЭФИР Еще недавно картинку из нейросети было видно за версту. Шесть пальцев на руке. Поплывшие буквы на вывеске. Глянцевое лицо без единой поры. А видео выходило дергаными обрывками на пару секунд. Над ними оставалось только посмеяться. Сейчас такие картинки спокойно живут на обложках, в рекламе, на страницах сайтов. Ролики оттуда крутятся в соцсетях. И мало кто спраш

👍16🔥51

30 Jul 2026, 12:24 UTC≈1,670 views4 reactionsread 13 August 2026
Photo

Эфир «Как зарабатывать на продвижении сайтов с помощью ИИ» Последнюю неделю мы много говорим про тему заработка на сайтах. Но, возможно, вы видели не все наши письма и не до конца понимаете, о чем вообще речь. Поэтому коротко и по-человечески объясню, что имеется в виду. Сейчас появляется новый и очень интересный навык: умение влиять на то, что рекомендуют людям не только поисковые системы, но и нейросети. Вы наве

👍31

24 Jul 2026, 09:53 UTC≈2,030 views6 reactionsread 13 August 2026
Photo

Сайт можно сделать за несколько часов. Но клиенты не появятся на нём сами. Бизнесу нужно, чтобы люди находили компанию в Яндексе и видели информацию о ней в ответах нейросетей. Поэтому многие компании каждый месяц платят специалистам за продвижение своих сайтов. Если вы давно ищете, как превратить интерес к нейросетям в конкретную услугу, продвижение сайтов может стать одним из таких направлений. Начать можно с уче

👍2👏21🤣1

9 Jul 2026, 14:50 UTC≈2,590 views11 reactionsread 13 August 2026
Photo

"Секреты создания приложений без кода" БЕСПЛАТНЫЙ ЭФИР В это воскресенье вас ждет новый эфир, где мы разберем, как сегодня можно создавать полезные приложения с помощью ИИ, не будучи программистом. Для чего вам это? Во-первых, можно создавать полезные приложения для себя. Во-вторых, можно создавать их на заказ и зарабатывать на этом. Я расскажу об инструментах, которые бы я выбрал сегодня в зависимости от моих

👍92

27 Jun 2026, 07:37 UTC≈2,940 views17 reactionsread 13 August 2026
Photo

Если вы не успели пройти практикум полностью, сейчас будет хороший момент догнать материал. За последние дни мы провели практикум «ИИ-агенты: с нуля до первых клиентов». На нём участники увидели, как создаются ИИ-агенты, зачем они нужны бизнесу, где искать первые задачи и почему за такие решения уже готовы платить. Но я понимаю, что не у всех получилось быть на всех эфирах. Кто-то подключился только к одному дню.

👍10🔥43

18 Jun 2026, 11:41 UTC≈2,700 views22 reactionsread 13 August 2026
Photo

Сделайте первые шаги в новой онлайн-профессии за 3 дня Нейросети уже невозможно игнорировать. Но у многих всё ещё есть ощущение: “интересно, важно, но я сам пока ничего толком не умею”. Особенно когда речь заходит об ИИ-агентах - помощниках, которые могут выполнять реальные задачи для бизнеса: собирать заявки, делать страницы, отвечать клиентам, помогать ученикам. Как обычному человеку, который никогда не програм

👍13🔥81

11 Jun 2026, 11:47 UTC≈2,520 views8 reactionsread 13 August 2026
Photo

За полгода спрос на создателей ИИ-агентов на бирже Fiverr вырос в 184 раза. Я не поверил этой цифре и пошёл перепроверять - оказалось, правда. Пока в интернете спорят, отнимет ли ИИ работу, главы OpenAI, NVIDIA и Microsoft уже называют агентов новой цифровой рабочей силой. А людей, которые умеют довести агента до рабочего результата, всё ещё очень мало. Я не помню ни одного дня за последние четыре месяца, когда бы

🔥53

5 Jun 2026, 10:37 UTC≈3,000 views6 reactionsread 13 August 2026
Photo

Узнайте, как с помощью ИИ-агентов можно делать за 5 минут то, на что раньше уходили недели. Да, звучит слишком смело. Я бы сам еще недавно от такой фразы насторожился. Но сейчас всё чаще вижу это в своей работе: часть задач, которые раньше растягивались на вечер, день или целую неделю, можно собрать в цепочку и отдать агенту. По ощущениям, это больше похоже на новую рабочую привычку: нормально описать задачу, дать

👍41😍1

21 May 2026, 13:17 UTC≈3,410 views10 reactionsread 13 August 2026
Photo

Сайт может начаться с одной фразы. Вы пишете нейросети: «Мне нужна страница для моей услуги» - и вместо пустого экрана перед вами постепенно появляется структура, текст, блоки, дизайн и кнопка для записи. В это воскресенье, 24 мая, в 13:00 по Москве проведу бесплатный эфир «Секреты веб-дизайна». Покажу, как сегодня можно создавать сайты с помощью нейросетей и ИИ-агентов - даже если вы не программируете и не считае

👍7💊21

15 May 2026, 12:59 UTC≈3,550 views8 reactionsread 13 August 2026
Photo

Новый клуб «Мастерская вайб-кодинга» Анонс в это воскресенье. Лучшие условия только при старте клуба! О чем этот клуб? В этом клубе вы будете учиться создавать приложения с помощью вайб-кодинга. С самого нуля и до продвинутого уровня. Сегодня нейросети способны создавать за вечер то, на что раньше у команды программистов уходили недели. А сейчас вы можете создавать подобные приложения, не написав ни строчки кода

👍6💊2

8 May 2026, 11:55 UTC≈3,640 views11 reactionsread 13 August 2026
Photo

ИИ может приводить вам клиентов в буквальном смысле. Отобранных, прогретых. Которым уже можно, по сути, продавать. ИИ также может находить вам партнеров. Он может общаться лучше, чем вы. И он абсолютно не расстраивается и не выгорает от отказов. Если вам не нужны клиенты и партнеры, то вы можете приводить их тем, кому они нужны, и получить большие деньги. Потому что клиенты нужны любому бизнесу. Нет клиентов – нет

10💊1

3 May 2026, 13:24 UTC≈3,730 views14 reactionsread 13 August 2026
Photo

Что если умные нейросетевые агенты будут продавать ваши услуги или искать вам работу? Проблема почти любого фрилансера – поиск клиентов. Это самое неприятное занятие, которое порой кажется даже несправедливым. Вы можете реально уметь создавать что-то ценное, а люди, которым это нужно, к вам не идут и не выстраиваются в очередь. И ваши навыки, полученные долгими часами обучения и практики, тупо простаивают. И да, в

8🔥3👍2💊1

Showing the 12 most recent of 21 posts we hold for @kurilov_neiro. 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

@kurilov_neiro edited 1 post 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
10 August 2026
Most recent edit
10 August 2026

Citation-graph rank

Citation-graph rank — 1,065,715 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Юрий Курилов | Нейросети” (@kurilov_neiro), 18,389 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/kurilov_neiro.

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.