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 100% 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
34 measurements spanning 50 days, net -109. 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 16,697–16,851 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
24 Sept 2026, 20:21
16,718
-6
18 Sept 2026, 20:15
16,724
-9
16 Sept 2026, 09:18
16,733
+9
14 Sept 2026, 14:19
16,724
+3
12 Sept 2026, 21:38
16,721
-4
11 Sept 2026, 01:39
16,725
+9
8 Sept 2026, 05:01
16,716
+1
5 Sept 2026, 02:55
16,715
-8
3 Sept 2026, 08:58
16,723
+4
2 Sept 2026, 02:12
16,719
+2
31 Aug 2026, 23:37
16,717
-3
31 Aug 2026, 01:05
16,720
-15
30 Aug 2026, 00:28
16,735
-4
28 Aug 2026, 22:15
16,739
-17
28 Aug 2026, 01:16
16,756
-3
27 Aug 2026, 03:15
16,759
+4
26 Aug 2026, 05:57
16,755
+13
25 Aug 2026, 04:44
16,742
-6
24 Aug 2026, 02:12
16,748
+7
22 Aug 2026, 12:47
16,741
first reading
Engagement
60 posts held, back to 25 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 63 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.40%
avg views ÷ 16,718 subscribers
Avg views / post
1,070
9 posts measured
Reaction rate
1.49%
reactions ÷ views · ER floor
Posts in window
9
of 60 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
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
60 (25 July 2026 – 3 September 2026)
Views total
9,634
Reactions total
144
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:40 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
Video runtime
18m 58s
Average length
1m 21s
Measured directly from 14 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
1,079 reactions across 58 posts, in 14 distinct kinds. The most used accounts for 30.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
333
30.9%
❤
219
20.3%
🔥
215
19.9%
😁
144
13.3%
🤣
60
5.56%
🤯
53
4.91%
🤔
20
1.85%
😱
12
1.11%
😢
7
0.649%
🎅
5
0.463%
😍
4
0.371%
👀
3
0.278%
💯
3
0.278%
⚡
1
0.093%
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 60 of the 60 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 1,120 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 25 July 2026 to 3 September 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
6
across the posts below
Posts paid on
6
of 60 we hold a reading for · 10%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @neyroseti_dr. 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 60 most recent posts we hold for this entry, published 25 July 2026 to 3 September 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.
🤖 Робот в магазине техники в России попытался напасть на покупателя после того, как тот его толкнул
Наверное, самое смешное, что я видел сегодня 😂
Но это также поднимает серьёзный вопрос: эти машины становятся всё более физически развитыми, автономными и способными действовать в реальном мире.
Некоторые из них даже разрабатываются для боевых целей.
Эпоха роботов и ИИ обещает быть по-настоящему безумной.
#интерес…
Привет, друзья! 🚨 Claude Fable 5.1 стала дешевле, значительно сильнее по ряду агентных бенчмарков, более лаконичной моделью и, по данным Anthropic, гораздо менее склонной к «поспешным» действиям
Кратко о стоимости:
✅$10/$50 за миллион входных/выходных токенов — без изменений.
✅Чтение из кэша — на 75% дешевле, теперь $0.25
✅Типичные нагрузки — примерно на 25% дешевле
✅Задачи с интенсивным использованием агентов — до…
🪥📸 Dyson вышла на рынок зубных щёток, представив щётку с камерой и ИИ за $499
Новая Dyson CameraJet использует крошечную камеру внутри щётки, которая делает 28 фотографий в секунду.
ИИ-система, обученная на 470 000 стоматологических изображений, находит промежутки между зубами и во время чистки направляет туда небольшую струю ополаскивателя для полости рта.
Также устройство может транслировать живое изображение из…
🌧️🚁 Калифорнийский стартап заявляет, что его дроны помогли сгенерировать более 71 миллионов галлонов дополнительных осадков всего за три часа
Компания Rainmaker запустила дроны в холодные облака над Аляской и распылила с помощью дронов небольшое количество йодида серебра, который способствует образованию ледяных кристаллов, выпадающих в виде дождя или снега.
Rainmaker использует продвинутые метеорологические алгори…
Привет, друзья! Perplexity и NVIDIA выпустили очень крутого ИИ-агента, который может выполнять большую часть работы прямо на вашем компьютере. 🤯
Он называется Portable Computer, и ключевая часть агента работает локально на вашем оборудовании.
Планировщик, шедулер, маршрутизатор инструментов и локальный поиск — всё это остаётся на вашем компьютере, работая на базе модели с 27 млрд параметров, которую Perplexity обучи…
Отучаем ИИ писать как ИИ: появился скилл Sepia для Claude Code, Codex и других агентов, который чинит саму структуру текста
Sepia убирает слишком аккуратное повествование, излишне разжеванные темы и шаблонные эмоции, и только потом уже правит лексику. Для рабочих документов есть отдельные правила: релиз-ноты, PR, постмортемы, тикеты и статьи.
Разработчик опирался на свежее исследование: ИИ-прозу можно вычислить по …
Привет, друзья! 👕📹 Берлинский художник Симон Векерт создал футболку, разработанную для того, чтобы ИИ-камеры не могли распознать в носящем её человека
Она называется Digital Camouflage («Цифровой камуфляж»), и странный узор на ней выполняет вполне конкретную задачу.
Векерт разрабатывал его, многократно проверяя новые узоры на YOLO — открытой ИИ-системе, которая распознаёт людей и объекты на видео. Каждую версию он …
Привет, друзья! У мальчика Леонардо была одно пожелание к разработчикам: он хотел, чтобы протез выглядел как рука его любимого супергероя — Халка 💚
Ливио и команда Enable Italia использовали 3D-печать, чтобы создать индивидуальный протез — функциональный, лёгкий и разработанный на основе того, что Леонардо уже любит.
Эта деталь важна. Вспомогательные технологии не только восстанавливают движение. Когда они отражают…
Рэй Курцвейл считает, что примерно к 2030 году люди смогут «обогнать» старение
Футуролог и бывший исследователь ИИ в Google сделал более 140 публичных прогнозов о технологиях.
По словам Курцвейла, 86% из 147 проанализированных им прогнозов сбылись или оказались по сути верными.
В 1999 году он получил Национальную медаль технологий США за свою работу в области вычислительной техники.
В книге «Сингулярность уже бли…
💰🚨 Суперзвезда НБА Кевин Дюрант, один из самых успешных баскетболистов своего поколения, возможно, совершил одну из лучших инвестиций в своей карьере и вне баскетбольной площадки
По имеющимся данным, Дюрант, двукратный чемпион НБА и давний инвестор в технологические компании через свою фирму Thirty Five Ventures, вложил $100 000 на посевном раунде и $150 000 на раунде Series A.
На тот момент Hugging Face была ещё …
ИИ уже генерирует целые города: вышел обновленный плагин City Sample для Unreal Engine 5.
Внутри движка теперь дают собрать отдельный город с помощью Claude Code и MCP-сервера. Агент занимается процедурной генерацией, а результат можно редактировать под себя.
Агенту доступны готовые ассеты дорог, зданий, растительности и парков. Можно тестить бесплатно через Epic Games Launcher.
#полезное
👍7🔥5❤1
Showing the 12 most recent of 60 posts we hold for @neyroseti_dr. 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 21 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.
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.
НейроProfit | Соня Pro Ai @NeuralProfit · 23,415 Telegram ranks this channel #5 of 96 here — alongside 95 others — read 18 September 2026
Lama AI @lama_channel_gpt · 24,736 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 15 September 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 59,038 Telegram ranks this channel #7 of 95 here — alongside 94 others — read 22 August 2026
Переход на канал @prompty · 53 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 7 September 2026
Ринат Шакиров | Промпты для Midjourney | ChatGPT | @dailyprompts · 42,650 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 29 August 2026
Serge_AI 1.0 @serge_ai · 57,484 Telegram ranks this channel #11 of 99 here — alongside 98 others — read 23 August 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney @neural_houses · 44,537 Telegram ranks this channel #13 of 92 here — alongside 91 others — read 28 August 2026
SYNTX FAMILY @syntxfamily · 323,402 Telegram ranks this channel #13 of 93 here — alongside 92 others — read 22 August 2026
Ксения Баранова | PRO ИИ-технологии🔥 @xb_prosmm · 63,952 Telegram ranks this channel #14 of 92 here — alongside 91 others — read 22 August 2026
Neural Brain - Нейросети @neural_braining · 21,591 Telegram ranks this channel #16 of 90 here — alongside 89 others — read 23 September 2026
Промты для нейросетей @iidlyabi · 22,584 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 20 September 2026
Tips AI | IT & AI @tips_ai · 25,359 Telegram ranks this channel #16 of 95 here — alongside 94 others — read 14 September 2026
💎 Зерокодер | Нейросети и искусственный интеллект @oqode · 39,483 Telegram ranks this channel #17 of 92 here — alongside 91 others — read 30 August 2026
Мир нейросетей - новости, обучение и заработок @pro_ai_novosti · 50,517 Telegram ranks this channel #17 of 90 here — alongside 89 others — read 25 August 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 40,932 Telegram ranks this channel #19 of 94 here — alongside 93 others — read 29 August 2026
Анжела Петкова | ИИ на практике @anjela_p · 78,095 Telegram ranks this channel #19 of 93 here — alongside 92 others — read 22 August 2026
NeuroADEPT @neuroadepts · 41,375 Telegram ranks this channel #21 of 85 here — alongside 84 others — read 29 August 2026
TurboText AI. Нейросети @turbotext_ai · 45,150 Telegram ranks this channel #23 of 80 here — alongside 79 others — read 27 August 2026
🟡NeuroGraph @neyr0graph · 34,431 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 3 September 2026
CyberYozh AI Security @CyberYozh_AI_security · 26,487 Telegram ranks this channel #28 of 91 here — alongside 90 others — read 12 September 2026
Нейроконцентрат | нейросети, технологии @AIConcentrate · 30,933 Telegram ranks this channel #30 of 95 here — alongside 94 others — read 6 September 2026
ChatGPT, помоги! @GPThelp_ru · 509,707 Telegram ranks this channel #30 of 91 here — alongside 90 others — read 10 August 2026
Nano Banana, GPT Images, Veo 3, Midjourney - Новости YES Ai @yes_ai_official · 98,596 Telegram ranks this channel #32 of 83 here — alongside 82 others — read 22 August 2026
AI Университет @neural_university_webinar · 37,456 Telegram ranks this channel #33 of 96 here — alongside 95 others — read 31 August 2026
This channel appears in 37 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 24 September 2026 — this
entry's latest reading, not the date you are reading this.
“️Нейросети: Волшебство ИИ, IT и маркетинг⚡️” (@neyroseti_dr), 16,718 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/neyroseti_dr.
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.