Telegram RegisterThe public register of Telegram

Channel

Мы с нейросетью

@neural_line

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

113subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001767681395
TypeChannel
Username@neural_line
DescriptionМеньше, чем искусство. Больше, чем случайность.
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/neural_line

Growth

1137 August 2026 — 113 subscribers9 August 2026 — 113 subscribers7 August 20269 August 2026
2 measurements spanning 2 days. 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 112–114 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 06:16113no change
7 Aug 2026, 08:25113first reading

Engagement

8 posts held, back to 27 April 2023the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 23 July 2023. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
668
Links
11

Lifetime counters from Telegram’s own channel header, read 9 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.

Reaction mix

58 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 43.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2543.1%
🤣1017.2%
❤‍🔥915.5%
712.1%
🔥58.62%
👏11.72%
🤡11.72%

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 8 of the 8 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 58reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 27 April 2023 to 23 July 2023, 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

23 Jul 2023, 20:22 UTC488 views10 reactionsread 9 August 2026
Photo

Сижу правлю учебную программу для учеников средней и старшей школы, и натыкаюсь на вот такую формулировку. Казенно, сухо, по армейски. В лучших традициях, короче. А потом мы удивляемся, а почему в доп.образование даже на самые интересные направления не приходят дети? Да потому что объявления о наборе групп на стендах составлены вот в таком же стиле, и кара падет на тех, кто замыслит сделать подачу материала более жив

🤣10

Signed Откорней Докончиков

13 Jul 2023, 17:09 UTC526 views4 reactionsread 9 August 2026
Photo

Прямо сейчас нейросети убивают мою профессию, между прочим, а я тут шутки шучу. Если вы не особо шарите за 3D, то я коротко вам изложу суть: такое говно (крепитесь, я буду использовать это слово всё чаще) не делают даже пятнадцатилетние дети, установившие себе Blender неделю назад. Ситуацию немного исправляет довольно неплохая UV-развёртка, но посмотреть на неё в софте не выйдет - авторы не дают возможности скачать п

👍4

Signed Откорней Докончиков

13 Jul 2023, 16:37 UTC242 views8 reactionsread 9 August 2026
Photo

Мы всё ещё с нейросетью! Да, я пропадал, но за это время: Потрогал наживую StableDiffusion (по ощущению - как первый раз увидел Линукс) Потрогал нейронку Leonardo (Если кто-то любит стилизацию и сочный цвет - то она для вас) И прямо сейчас трогаю нейронку 3DFY, которая грозится оставить меня, нищего 3D-художника, без работы. На первый взгляд - говно какое-то. Сейчас сделаю генерацию и посмотрим, что по этому поводу с

7👏1

Signed Откорней Докончиков

16 May 2023, 17:46 UTC302 views11 reactionsread 9 August 2026
Photo

Забавно, но нейросетка, вопреки всем паникерским настроям, не заменила мне концептера: Мне все равно пришлось искать живого человека, который смог бы отрисовать мне общую стилистику всего окружения. Да, MJ (да и StableDiffusion) выдавали роскошные результаты с лучами света, бликами-хоть сейчас на рекламный буклет! Но на этом все-при попытке построить айдентику всего произведения в едином стиле они совершали ту же оши

👍7🔥4

Signed Откорней Докончиков

4 May 2023, 08:13 UTC332 views5 reactionsread 9 August 2026
Photo

А вот то, что нашлось по моему запросу "вручную"

❤‍🔥5

Signed Откорней Докончиков

4 May 2023, 08:09 UTC306 views4 reactionsread 9 August 2026
Photo

Лучшие результаты по промпту, предоставленному ChatGPT Меня лично устраивает третий результат, первый подойдёт как базовая вещь - но не для ГГ. Ну а второй больше напоминает китель капитана, слишком официально выглядит.

❤‍🔥4

Signed Откорней Докончиков

4 May 2023, 07:57 UTC164 views9 reactionsread 9 August 2026
Photo

Что такое деградация за счёт высоких технологий? Всё начинается с подобной лени - когда ты можешь описать то, что тебе нужно, но ленишься даже написать подробный запрос к нейросети, поэтому просишь об этом другую нейросеть. Однажды на кафедре я увидел одну надпись, вырезанную скальпелем на стене лабораторного шкафа: "Трус рождается из лентяя". Поэтому я сейчас устыдился и сделал две вещи: переписал промпт для нейронк

👍8🤡1

Signed Откорней Докончиков

27 Apr 2023, 16:24 UTC273 views7 reactionsread 9 August 2026
Photo

Из всех произведений, вдохновленных ЧАЭС, мне отдельно хочется выделить игру STALKER: Shadows of Chernobyl. Вышедшая в 2007 году, она стала для меня-девятиклассника пулей, пущенной прямо в мозг: В ней объединилось всё, что мне нравилось на тот момент: Стругацкие, эстетика заброшенных и недостроенных зданий, одноименный фильм Тарковского (только почти 10 лет спустя до меня дошёл смысл фильма). Игра в самом деле стала

👍6🔥1

Signed Откорней Докончиков

Showing the 8 most recent of 8 posts we hold for @neural_line. 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.

Citation-graph rank

Citation-graph rank — 1,111,264 of 1,169,250entries 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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“Мы с нейросетью” (@neural_line), 113 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/neural_line.

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.