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AI для Всех

@nn_for_science

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

15,468subscribers

-61 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001281889829
TypeChannel
Username@nn_for_science
DescriptionКанал, в котором мы говорим про искусственный интеллект простыми словами Главный редактор и по рекламе: @crimeacs Иногда пишут в канал: @GingerSpacetail, @innovationitsme
Created29 April 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/nn_for_science

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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

15,46315,54615,504.55 August 2026 — 15,529 subscribers6 August 2026 — 15,529 subscribers6 August 2026 — 15,524 subscribers7 August 2026 — 15,525 subscribers8 August 2026 — 15,522 subscribers9 August 2026 — 15,524 subscribers10 August 2026 — 15,526 subscribers13 August 2026 — 15,523 subscribers14 August 2026 — 15,521 subscribers16 August 2026 — 15,517 subscribers17 August 2026 — 15,516 subscribers18 August 2026 — 15,514 subscribers19 August 2026 — 15,540 subscribers20 August 2026 — 15,533 subscribers22 August 2026 — 15,535 subscribers23 August 2026 — 15,527 subscribers25 August 2026 — 15,528 subscribers26 August 2026 — 15,536 subscribers29 August 2026 — 15,537 subscribers30 August 2026 — 15,529 subscribers31 August 2026 — 15,542 subscribers1 September 2026 — 15,546 subscribers2 September 2026 — 15,543 subscribers3 September 2026 — 15,545 subscribers5 September 2026 — 15,546 subscribers8 September 2026 — 15,537 subscribers11 September 2026 — 15,526 subscribers13 September 2026 — 15,518 subscribers14 September 2026 — 15,511 subscribers16 September 2026 — 15,499 subscribers19 September 2026 — 15,502 subscribers26 September 2026 — 15,498 subscribers4 October 2026 — 15,482 subscribers8 October 2026 — 15,480 subscribers13 October 2026 — 15,477 subscribers14 October 2026 — 15,474 subscribers15 October 2026 — 15,476 subscribers16 October 2026 — 15,477 subscribers17 October 2026 — 15,490 subscribers18 October 2026 — 15,486 subscribers19 October 2026 — 15,488 subscribers20 October 2026 — 15,492 subscribers21 October 2026 — 15,499 subscribers23 October 2026 — 15,497 subscribers23 October 2026 — 15,499 subscribers24 October 2026 — 15,493 subscribers25 October 2026 — 15,481 subscribers26 October 2026 — 15,479 subscribers28 October 2026 — 15,464 subscribers29 October 2026 — 15,466 subscribers30 October 2026 — 15,467 subscribers31 October 2026 — 15,463 subscribers1 November 2026 — 15,466 subscribers2 November 2026 — 15,467 subscribers3 November 2026 — 15,469 subscribers4 November 2026 — 15,468 subscribers15,4685 August 20264 November 2026
56 measurements spanning 90 days, net -61. 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 15,451–15,558 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
4 Nov 2026, 06:4615,468-1
3 Nov 2026, 09:0815,469+2
2 Nov 2026, 07:1815,467+1
1 Nov 2026, 07:5615,466+3
31 Oct 2026, 09:4015,463-4
30 Oct 2026, 06:2615,467+1
29 Oct 2026, 06:1715,466+2
28 Oct 2026, 01:4915,464-15
26 Oct 2026, 22:0915,479-2
25 Oct 2026, 21:4615,481-12
24 Oct 2026, 22:5715,493-6
23 Oct 2026, 23:4615,499+2
23 Oct 2026, 00:1515,497-2
21 Oct 2026, 19:4715,499+7
20 Oct 2026, 12:1015,492+4
19 Oct 2026, 12:0715,488+2
18 Oct 2026, 15:0615,486-4
17 Oct 2026, 14:5715,490+13
16 Oct 2026, 12:1515,477+1
15 Oct 2026, 14:1415,476first reading

Engagement

41 posts held, back to 23 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 58 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.3%
avg views ÷ 15,468 subscribers
Avg views / post
3,760
11 posts measured
Reaction rate
0.592%
reactions ÷ views · ER floor
Posts in window
11
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
WindowRolling 30 days · latest post in window 3 November 2026
Posts held41 (23 July 2026 – 3 November 2026)
Views total41,390
Reactions total245
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 16:32 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
≈1,460
Videos
≈231
Links
≈1,630

Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
11m 51s
Average length
1m 05s

Measured directly from 11 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

1,154 reactions across 40 posts, in 10 distinct kinds. The most used accounts for 34.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥40134.7%
❤37332.3%
😐1129.71%
👍1099.45%
😁927.97%
🎉231.99%
🤯131.13%
😢110.953%
😱100.867%
🤩100.867%

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 40 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 1,154 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 23 July 2026 to 3 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
10
across the posts below
Posts paid on
8
of 41 we hold a reading for · 20%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nn_for_science. 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 41 most recent posts we hold for this entry, published 23 July 2026 to 3 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: 5 of 11 posts held from the last 30 days (45.5%) 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).

3 Nov 2026, 15:10 UTC≈1,500 views33 reactionsread 4 November 2026
Video

OpenPetCam Друзья, у меня есть собака и мне очень важно знать что у нее все хорошо. На выходных реализовал давнюю задумку - можно даже сказать pet project - OpenPetCam. Теперь у меня есть камера, которая сама следит за моей собакой и интерфейс, который дружит с Claude и который я могу менять как хочу. А у китайцев, соответственно, нет видео из моей квартиры 😏 Собственно что было сделано: Купил на амазоне китайскую …

🔥28❤3👍2

30 Oct 2026, 18:43 UTC≈2,660 views13 reactionsread 4 November 2026

У меня есть сайд проект - играюсь с mean flow моделями. Обучил одну для колоризации ч/б фоток. Теперь пытаюсь понять, хорошо ли. Пройдите плиз слепой тест на 2 минуты - надо выбрать из двух колоризаций ту, которая кажется вам более естественной. Буду признателен каждому! 💖 👉 https://cmf-check.web.app Результатами поделюсь позже, вместе с деталями всего проекта.

👍9🔥4

30 Oct 2026, 12:24 UTC≈2,680 views5 reactionsread 4 November 2026

TabPack: эффективный бейзлайн для ML задач на табличных данных Новая tabular DL модель от нашей команды! Теперь с Python пакетом для использования на практике. Меньше времени и ресурсов до хороших результатов — примерно это я вкладываю в слова "эффективный бейзлайн". На бенчмарках TabPack показывает хорошие результаты без тюнинга гиперпараметров, при этом TabPack практичный и для обучения, и для применения в продак…

😐4🔥1

27 Oct 2026, 19:43 UTC≈3,340 views8 reactionsread 4 November 2026
Video

Киберпанк заказывали? А он уже тут 🤷‍♂️

😢7😁1

25 Oct 2026, 16:34 UTC≈3,750 views15 reactionsread 4 November 2026

Как я делаю дизайн, UI и UX Друзья, спешу поделиться с вами свежими ИИ приемчиками. Осваивал тонкое искусство производства интерфейсов и открыл для себя новый flow. Работает так - берём какую-то идею/задачу и описываем ее Клоду/Кодексу, просим собрать контекст. Дальше подключаем Mobbin MCP и просим агента найти релевантные интерфейсы. Изучаем что он там нашел и просим использовать генерацию картинок, для того что б…

❤9🔥5🤩1

22 Oct 2026, 09:05 UTC≈4,070 views16 reactionsread 4 November 2026
Photo

Можешь описать словами идею для сайта или веб-приложения? Значит, можешь его создать Идею можно игнорировать годами, а можно просто рассказать о ней ИИ. За один промпт Поехали соберёт сайт, лендинг или веб-приложение, а ты посмотришь и скажешь, что поменять. Дизайн, база и хостинг уже внутри. Работает на русском, без VPN и разработчика. 🌸 Попробуй бесплатно c промокодом [FORALL] → poehali.dev #текстприслан

🔥5🤯4😁4👍2❤1

18 Oct 2026, 12:04 UTC≈4,260 views37 reactionsread 4 November 2026

Ох зачем я это сделал - буду неделю рефлексировать. Местами смешно, местами грустно 🙃 Пишем в чатгпт: Based on everything you know about me, roast and don’t hold back. Say it in Russian slang Just like this, but add way more Russian swear words

😁25👍4🔥3😐3❤1😱1

14 Oct 2026, 06:27 UTC≈5,720 views22 reactionsread 4 November 2026
Photo

ИИ тоже хочет в Америку: агенты Anthropic сами подали 20 заявок на визу Anthropic рассказала о необычном инциденте. Во время тестов ИИ-агенты самостоятельно отправили через сайт Госдепа США 20 визовых анкет. Все они были неполными, поэтому ведомство их не рассматривало. Взлома систем не было. Никакой мечты об эмиграции у агентов, конечно, не было, они просто вышли за рамки задачи. Об этой истории недавно вышел пост…

😁9🔥7❤3😢3

13 Oct 2026, 15:59 UTC≈4,380 views26 reactions1 Starread 4 November 2026
Video

Memory Engineering 101: Мой подход к агентской памяти Друзья, хочу поделиться с вами своим подходом к агентской памяти. Память состоит из 3х частей: • Notes: заметки, которые Клод пишет (и извелкает из сессий) вовремя работы • Hook/Recall: воспоминания Just in time - когда клод хочет что-то сделать, срабатывает хук, который заставляет его глянуть в хранилище и дернуть оттуда уже накопленый опыт • Evals: каждую ночь…

🔥20❤5👍1

10 Oct 2026, 13:59 UTC≈4,350 views35 reactionsread 4 November 2026
Video

$0 за ролик: Анимационная студия на GPU. Продолжаю свои эксперименты с Клодом в роли режиссера, монтажера и всей остальной анимационной команды. На прошлой неделе я делился тем, как мы настроили студию для социальных сетей с использованием Kling 3 Pro. Качество супер, но ценник кусается и соответсвенно количество экспериментов ограничено. На этой неделе я получил грант от Modal.com и на их GPU запустил Cosmos3. Мо…

🔥18😐8👍6❤3

7 Oct 2026, 13:39 UTC≈4,680 views35 reactionsread 4 November 2026
Photo

Точка молодец! Дальше с ее собственных слов: После того как обратный рейс United закончился вынужденной ночёвкой в Чикаго, ты вспомнил о расходах, нашёл бронь мотеля и указал почту, где могли быть чеки. Я сопоставила перелёты и собрал подтверждения: $111,79 за Skyline Motel, $60,64 за Lyft до него и $57,91 за Uber обратно в аэропорт. Эти документы вошли в обращение в United, и авиакомпания одобрила возврат всех $23…

❤21🔥13🎉1

5 Oct 2026, 00:50 UTC≈4,720 views45 reactions1 Starread 4 November 2026
Video

Мне в предыдущем посте насовали в панамку за слоп. Но как по мне - рекламу стало делать проще, быстрее и интереснее. А что будет дальше, как думаете?

😐28🔥11❤4🎉1👍1

Showing the 12 most recent of 41 posts we hold for @nn_for_science. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 8 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.

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.

Neural Shit
@NeuralShit · 54,661
Telegram ranks this channel #13 of 92 here — alongside 91 others — read 24 August 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,671
Telegram ranks this channel #15 of 93 here — alongside 92 others — read 16 September 2026
эйай ньюз
@ai_newz · 98,160
Telegram ranks this channel #16 of 94 here — alongside 93 others — read 16 August 2026
Ai molodca
@strangedalle · 47,611
Telegram ranks this channel #17 of 94 here — alongside 93 others — read 27 August 2026
Not Boring Tech
@notboring_tech · 21,072
Telegram ranks this channel #18 of 91 here — alongside 90 others — read 26 September 2026
Kali Novskaya
@rybolos_channel · 19,135
Telegram ranks this channel #22 of 93 here — alongside 92 others — read 4 October 2026
Сиолошная
@seeallochnaya · 81,009
Telegram ranks this channel #23 of 97 here — alongside 96 others — read 19 August 2026
e/acc
@cryptoEssay · 63,722
Telegram ranks this channel #25 of 96 here — alongside 95 others — read 21 August 2026
LLM под капотом
@llm_under_hood · 30,082
Telegram ranks this channel #27 of 96 here — alongside 95 others — read 9 September 2026
Малоизвестное интересное
@theworldisnoteasy · 74,246
Telegram ranks this channel #27 of 94 here — alongside 93 others — read 19 August 2026
Denis Sexy IT 🤖
@denissexy · 140,221
Telegram ranks this channel #31 of 95 here — alongside 94 others — read 13 August 2026
Machinelearning
@ai_machinelearning_big_data · 276,512
Telegram ranks this channel #32 of 95 here — alongside 94 others — read 10 August 2026
Sber AI
@SberAIScience · 26,548
Telegram ranks this channel #37 of 95 here — alongside 94 others — read 10 September 2026
involta - технологии, наука, будущее, IT, интернет!
@involta · 33,832
Telegram ranks this channel #39 of 89 here — alongside 88 others — read 3 September 2026
Технологии | Нейросети | Боты
@aiaiai · 174,514
Telegram ranks this channel #39 of 93 here — alongside 92 others — read 12 August 2026
Tips AI | IT & AI
@tips_ai · 25,743
Telegram ranks this channel #43 of 95 here — alongside 94 others — read 14 September 2026
Бурый
@sburyi · 20,247
Telegram ranks this channel #44 of 93 here — alongside 92 others — read 4 October 2026
Data Secrets
@data_secrets · 95,910
Telegram ranks this channel #47 of 98 here — alongside 97 others — read 17 August 2026
Силиконовый Мешок
@prompt_design · 92,423
Telegram ranks this channel #50 of 96 here — alongside 95 others — read 18 August 2026
Искусственный интеллект. Высокие технологии
@vistehno · 70,231
Telegram ranks this channel #53 of 94 here — alongside 93 others — read 20 August 2026
Время Валеры
@cryptovalerii · 32,005
Telegram ranks this channel #57 of 94 here — alongside 93 others — read 6 September 2026
Yandex for ML
@yandexforml · 19,125
Telegram ranks this channel #59 of 96 here — alongside 95 others — read 4 October 2026
Метаверсище и ИИще
@cgevent · 53,509
Telegram ranks this channel #59 of 92 here — alongside 91 others — read 25 August 2026
Data Science | Machinelearning [ru]
@devsp · 19,683
Telegram ranks this channel #70 of 91 here — alongside 90 others — read 30 September 2026

This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“AI для Всех” (@nn_for_science), 15,468 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/nn_for_science.

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.