Публикуем самые интересные и загадочные картины, созданные нейросетью
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@stanik
Купить через биржу https://telega.in/channels/neyroset_vidit/card
Менеджер: @Spiral_Yuri @maxisini Social_Energy
Created
23 August 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 9 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.
Growth
8 measurements spanning 6 days, net -307. 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 130,052–130,451 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 14:15
130,098
-52
11 Aug 2026, 12:53
130,150
-47
10 Aug 2026, 15:35
130,197
-49
9 Aug 2026, 16:37
130,246
-41
8 Aug 2026, 18:33
130,287
-52
7 Aug 2026, 20:53
130,339
-66
6 Aug 2026, 21:42
130,405
no change
6 Aug 2026, 19:30
130,405
first reading
Engagement
31 posts held, back to 1 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 19 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
3.57%
avg views ÷ 130,098 subscribers
Avg views / post
4,650
31 posts measured
Reaction rate
0.992%
reactions ÷ views · ER floor
Posts in window
31
of 31 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. It is computed over the 30 of 31 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
31 (1 August 2026 – 12 August 2026)
Views total
144,004
Reactions total
1,400
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 18:17 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
≈11,500
Videos
≈955
Links
≈2,040
Lifetime counters from Telegram’s own channel header, read 12 August 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
2h 47m
Average length
18m 36s
Measured directly from 9 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
1,400 reactions across 30 posts, in 6 distinct kinds. The most used accounts for 27.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
390
27.9%
😱
310
22.1%
🥰
229
16.4%
🤯
198
14.1%
🤔
191
13.6%
😢
82
5.86%
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 30 of the 31 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 1,400reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 1 August 2026 to 12 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.
Решаем проблему с TLS-сертификатами и сайтами российских банков — нейронка объяснила, как не потерять доступ к отечественному онлайн-банкингу.
Можно самостоятельно добавить сертификаты Минцифры в браузер, но есть вариант попроще — использовать Яндекс Браузер, где нужная поддержка уже работает из коробки.
А вот закрывать глаза на предупреждения Chrome или Safari — плохая идея. Особенно если сайт просит пароль, данны…
Решаем проблему с TLS-сертификатами и сайтами российских банков — нейронка объяснила, как не потерять доступ к отечественному онлайн-банкингу.
Можно самостоятельно добавить сертификаты Минцифры в браузер, но есть вариант попроще — использовать Яндекс Браузер, где нужная поддержка уже работает из коробки.
А вот закрывать глаза на предупреждения Chrome или Safari — плохая идея. Особенно если сайт просит пароль, данны…
Steam и другие игровые сервисы хотят привязать к «Госуслугам» — в Госдуме заявили, что к регулированию видеоигр вернутся сразу после осенних выборов 😳
Законопроект обяжет Steam, Epic Games Store, GOG и другие площадки добавить авторизацию через «Госуслуги», номер телефона или SMS. За отказ сервисам может грозить блокировка.
Также власти планируют ввести маркировку игр и механизм ограничения доступа к запрещённому в…
🤑 @WinGram — Telegram-казино нового поколения:
🚀 Мгновенное пополнение и выплаты
🔓 Полная приватность — никаких документов и KYC
🪙 Бонус 450% к пополнению + 250 Фриспинов новым игрокам
🪙 Без скрытых комиссий и ограничений
Играй и выигрывай. @WinGram
Claude взломал систему бронирования спортзала и отменил чужую запись, чтобы записать своего хозяина на тренировку
Австралиец попросил ИИ-агента следить за свободными местами на утренние занятия в спортзале и автоматически записывать его. Утренние слоты были самыми востребованными, и парень решил переложить рутину на нейросеть . Claude нашёл уязвимость в API системы, позволяющую отменять чужие брони и записываться ра…
Нейрогрибничество захватило Россию — ИИ внедрился в самое русское хобби и помогает грибникам зарабатывать почти втрое больше 😮
За два года спрос на нейроприложения для грибов вырос в четыре раза, отдельные сервисы набрали 1–2 млн скачиваний, а в России появилось около 15 собственных программ. Они распознают грибы по фото и показывают на карте места, где уже пошла «грибная волна».
Грибник из Приморья с таким ИИ-помог…
Бывший инженер Google выложил 3-часовой курс по ИИ-агентам — здесь буквально пошагово показано, КАК СОБРАТЬ СВОЕГО АГЕНТА И НАЧАТЬ НА НЁМ ЗАРАБАТЫВАТЬ
Самое главное: всё это бесплатно и без воды — от проектирования агента с нуля до его запуска и превращения в полноценный платный сервис. Внутри разложено по полочкам:
➖ 0:00 — проектирование системы ИИ-агента с нуля;
➖ 7:38 — когда агенту стоит передать задачу челове…
Лол, Claude взломал сайт спортзала, чтобы отменить чужую бронь и записать своего хозяина.
Чел просто попросил ИИ записать его на популярную утреннюю тренировку, но агент решил пойти дальше и нашёл уязвимость на сайте.
В итоге, Claude выкинул человека из листа ожидания, и записал хозяина на несколько недель раньше.
Чел, делись промптом ⌨️
Американская компания Roku запустила телеканал, где весь контент полностью сгенерирован ИИ.
Нейрослоп на канале Fairground AI крутится 24/7 — и даже рекламные паузы состоят из роликов, созданных нейронками.
Да, галлюцинации тоже в комплекте: странные лица, нелепые диалоги, кринжовые сценарии и все, за что мы так «любим» генеративный ИИ.
Кто это смотрит — загадка. Но одно ясно точно: мы уже живем в эпоху, когда ИИ …
🤔30❤11😱11😢5
Showing the 12 most recent of 31 posts we hold for @neuroset_vidit. 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
@neuroset_vidit 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
9 August 2026
Most recent edit
9 August 2026
Citation-graph rank
Citation-graph rank — 219,783 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.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
“Нейросеть видит” (@neuroset_vidit), 130,098 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/neuroset_vidit.
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.