Art & design — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 47% 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.
Growth
13 measurements spanning 43 days, net -18. 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 6,561–6,619 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:18
6,594
+14
14 Sept 2026, 16:16
6,580
+5
11 Sept 2026, 06:40
6,575
+7
6 Sept 2026, 06:16
6,568
-22
2 Sept 2026, 07:52
6,590
-6
30 Aug 2026, 14:38
6,596
-1
27 Aug 2026, 11:04
6,597
+2
24 Aug 2026, 05:14
6,595
+6
16 Aug 2026, 20:36
6,589
-8
13 Aug 2026, 16:37
6,597
-3
10 Aug 2026, 16:34
6,600
-10
7 Aug 2026, 19:57
6,610
-2
6 Aug 2026, 22:03
6,612
first reading
Engagement
26 posts held, back to 2 August 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 11 pages of 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 26 posts for this entry, the most recent from 20 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 24s
Average length
1m 06s
Measured directly from 4 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
902 reactions across 26 posts, in 9 distinct kinds. The most used accounts for 43.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
391
43.3%
😁
142
15.7%
❤🔥
137
15.2%
💯
115
12.7%
👍
43
4.77%
👀
37
4.10%
😢
23
2.55%
💅
13
1.44%
custom 5436040291507247633
1
0.111%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 26 of the 26 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 902 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 2 August 2026 to 20 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 26 we hold a reading for · 4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @neural85gb. 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 26 most recent posts we hold for this entry, published 2 August 2026 to 20 August 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.
Особые архивные сайты для глубокославных исследователей.
1️⃣ Global Digital Heritage — огромная библиотека оцифрованных в 3Д объектов мирового культурного наследия, более 10 тысяч артефактов из 300 музеев 18 стран мира. Можно отфильтровать объекты под запрос или путешествовать в поисках вдохновения по регионам.
2️⃣ ARTEFACT — официальный проект Минкульта РФ. По сути, это интерактивный гид по музеям. Можно путешест…
Не всё сине-белое — гжель. Рассмотрим картинки на первой картинке.
1️⃣ Похоже на азулежу по узору, т.е. на португальскую плитку.
2️⃣ Вообще хз что такое и откуда взялось, потому что «light blue summer vibes» — это про итальянскую майолику (второй фоткой приложила пример), а тут какая-то нейрохрень или фотошоп.
3️⃣ Тоже похоже на нейро и непохоже на гжель, обычно нейронка так воспринимает гжельские узоры, абстрактн…
Это не ткань, это крылья бабочек в макро. Мегамакро.
Крис Перани, фотограф, объединяет в каждом своём снимке около 2000 фотографий, чтобы создать свои великолепные полотна.
2000... Работа сумасшедшая: микроскопный объектив 5х или 10х прикручивает к 200мм, вся конструкция стоит на микрорельсе. При таком увеличении глубина резкости практически исчезает, поэтому рельса сдвигает камеру на 3 микрона. Для одного участка …
Тяжко быть центристом
Это касается любых воззрений, и нейроночных тоже. Ты таким образом становишься обоссанцем для обеих крайностей, а люди и соцсети запредельно любят крайности. Чёрное и белое, добро и зло, в общем, яростный подростковский максимализм.
Для одних ты ретроград и луддит, потому что «нейронки всех уже заменили, дезигнеры сасааать, я теперь царь и бох».
Для других ты конченый, потому что «фу, технофа…
А вот что я делаю с помощью нейросетей, так это накидываю идеи и варианты вида буквицы, чтобы потом совместить её с буквой нужного мне шрифта.
Ну красотища, я нэ можу.
Продолжаем наш визуальный ликбез
1️⃣ Математический центр vs оптический центр.
2️⃣ До ручного кернинга vs после ручного кернинга.
3️⃣ Оптическая иллюзия визуального веса (размеров объектов).
И таких примеров хренналион.
Дизайн — это не химия
Давайте просвещаться, раз уж пошла такая пьянка.
Вчера показала черновик карточки, где первая буква слова превращена в иллюстрацию. А уже сегодня разбираю комменты из разных соцсетей, в которых мне объясняют, как правильно делать дизайн.
Да, есть типографика, сетки, иерархия, законы восприятия и практика, накопленная сотнями лет. Но это инструменты, а не законы природы.
Буквица может провали…
Дезигнеры в интернете: я собираю красивую карусельку за 30 минут 💅🏻
Тем временем Юля: 30 минут генерирует и редачит одну буковку, чтобы та идеально встала на шрифт на одной карточке из 9 🚬🗿
🔥28😁4
Showing the 12 most recent of 26 posts we hold for @neural85gb. 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
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.
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.
Ринат Шакиров | Промпты для Midjourney | ChatGPT | @dailyprompts · 42,650 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 29 August 2026
🟡NeuroGraph @neyr0graph · 34,435 Telegram ranks this channel #5 of 90 here — alongside 89 others — read 3 September 2026
SYNTX FAMILY @syntxfamily · 323,728 Telegram ranks this channel #15 of 93 here — alongside 92 others — read 22 August 2026
Ai molodca @strangedalle · 46,847 Telegram ranks this channel #18 of 94 here — alongside 93 others — read 27 August 2026
Технологии | Нейросети | Боты @aiaiai · 176,423 Telegram ranks this channel #18 of 93 here — alongside 92 others — read 12 August 2026
Neurogen @neurogen_news · 22,930 Telegram ranks this channel #22 of 88 here — alongside 87 others — read 19 September 2026
Tips AI | IT & AI @tips_ai · 25,376 Telegram ranks this channel #22 of 95 here — alongside 94 others — read 14 September 2026
Midjourney Креативы @midjourney_home · 153,627 Telegram ranks this channel #23 of 94 here — alongside 93 others — read 12 August 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,400 Telegram ranks this channel #24 of 96 here — alongside 95 others — read 18 September 2026
Нейроконцентрат | нейросети, технологии @AIConcentrate · 30,933 Telegram ranks this channel #24 of 95 here — alongside 94 others — read 6 September 2026
NeuroADEPT @neuroadepts · 41,375 Telegram ranks this channel #24 of 85 here — alongside 84 others — read 29 August 2026
Беляк про нейросети @belyakAi · 30,746 Telegram ranks this channel #25 of 91 here — alongside 90 others — read 7 September 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 40,932 Telegram ranks this channel #29 of 94 here — alongside 93 others — read 29 August 2026
Stable Diffusion News | Нейросети @StableDiffusionBest · 32,666 Telegram ranks this channel #32 of 84 here — alongside 83 others — read 4 September 2026
Промпты для нейросетей @prompty · 30,029 Telegram ranks this channel #33 of 89 here — alongside 88 others — read 7 September 2026
Силиконовый Мешок @prompt_design · 85,657 Telegram ranks this channel #43 of 96 here — alongside 95 others — read 18 August 2026
MidJourney AI Generated Art Gallery @MidJourneyAI1 · 33,713 Telegram ranks this channel #54 of 82 here — alongside 81 others — read 4 September 2026
Промты для нейросетей @iidlyabi · 22,600 Telegram ranks this channel #56 of 87 here — alongside 86 others — read 20 September 2026
Lama AI @lama_channel_gpt · 24,736 Telegram ranks this channel #75 of 90 here — alongside 89 others — read 15 September 2026
This channel appears in 19 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“85GB нейронок” (@neural85gb), 6,594 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/neural85gb.
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.