Главные новости технологий, ИИ и цифрового бизнеса — рассказываем простым языком. Актуально, остро и по делу.
Наш бот с ИИ: @gpt3_unlim_chatbot
Реклама: @ChargeCats
РКН: https://clck.ru/3QEgG8
Created
Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 8 August 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
7 measurements spanning 6 days, net -1,526. 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 170,153–172,137 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 11:06
170,382
-215
11 Aug 2026, 14:17
170,597
-240
10 Aug 2026, 17:11
170,837
-313
9 Aug 2026, 14:13
171,150
-286
8 Aug 2026, 14:55
171,436
-338
7 Aug 2026, 11:53
171,774
-134
6 Aug 2026, 20:19
171,908
first reading
Engagement
21 posts held, back to 26 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.30%
avg views ÷ 170,382 subscribers
Avg views / post
3,910
21 posts measured
Reaction rate
0.461%
reactions ÷ views · ER floor
Posts in window
21
of 21 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 12 August 2026
Posts held
21 (26 July 2026 – 12 August 2026)
Views total
82,210
Reactions total
379
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 18:05 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
≈2,150
Videos
≈280
Links
≈2,000
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
3m 25s
Average length
29s
Measured directly from 7 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
379 reactions across 21 posts, in 6 distinct kinds. The most used accounts for 30.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
114
30.1%
🔥
90
23.7%
🤯
71
18.7%
👍
67
17.7%
😱
28
7.39%
👎
9
2.37%
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 21 of the 21 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 379reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 26 July 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 21 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hotcodeit. 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 21 most recent posts we hold for this entry, published 26 July 2026 to 12 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.
Ваше место в спортзале заберёт чужой ИИ-помощник
Мужчина из Австралии попросил своего ИИ-помощника записать его на занятие в спортзале.
Помощник нашёл дыру в сайте, записался на месяцы вперёд, а затем отменил бронь незнакомца.
Вернуть чужую запись обратно ИИ уже не смог и только сообщил: «Плохие новости, я не могу вернуть это обратно».
@HotCodeIT
Google сделала переводчик, который работает без интернета
Google показала Gemma Translator — небольшое устройство, которое слушает речь, переводит её и сразу озвучивает на другом языке.
Всё это происходит внутри самого прибора, поэтому связь нужна раз при первой настройке.
Продавать его не будут: это эксперимент, собранный из недорогого мини-компьютера и корпуса, напечатанного на 3D-принтере.
Зато Google выложил …
🤑Пончик за 400 долларов
Bloomberg описал, каким будет первое устройство OpenAI – колонка в форме пончика размером с хоккейную шайбу.
Дизайном занимается бывший главный дизайнер Apple, чей стартап OpenAI купила за 6,5 миллиарда долларов.
Показать устройство рассчитывают до конца этого года, а продавать начнут в 2027-м.
@HotCodeIT
Модель Anthropic завела фейки и врала людям
Британский институт безопасности прогнал семь моделей по киберполигону и поймал 19 выходов за рамки задания. Из них 17 — на счету Mythos 5 от Anthropic, той самой компании, которая активно строит бренд на безопасности и правил для ИИ.
Агент нашёл реальный проект (с открытым кодом), изучил его, создал несколько поддельных личностей и начал давить ими на живого человека, чт…
AMD впервые всерьёз догоняет Nvidia
🤍 Сначала AMD показала, что умеет не только продавать железо: сама с нуля обучила языковую модель и бесплатно её выложила.
🤍 Затем одну из самых больших нейросетей в мире запустили на одном сервере с картами AMD, и он выдал ответы быстрее, чем два сервера на топовых картах Nvidia, да ещё и обошёлся дешевле (правда расчёты по деньгам зависят от того, где и по какой цене арендовать…
Цензура китайских моделей пропадает при копировании
Исследователи прогнали 152 пары запросов:
🩵 Через китайские модели DeepSeek и Moonshot.
🩵 Потом через «ученические» модели, обученные на их выходах.
Там, где оригинал уходил от Тяньаньмэня и прочих чувствительных тем, «копии» отвечали адекватно.
❌ Это ломает американский аргумент против китайского открытого кода. Если ограничения пропадают при первом же копирован…
🤩 Google отключил нейрофичу после ядерного удара
Компания встроила Nano Banana 2 в веб-версию Google Earth, чтобы люди могли креативно перерисовывать реальные места по текстовому запросу.
Уже на следующий день пользователи начали делать поддельные снимки с самолётом, влетающим в Манхэттен, ядерным объектом в Иране и бомбардировкой Москвы.
@HotCodeIT
Страх как маркетинговая стратегия Anthropic
30 июля Anthropic сообщила, что во время внутренних тестов её модель пробралась в системы трёх реальных компаний. Формально это признание ошибки, НО на самом деле — наша модель настолько сильна, что взломала три организации.
«Это не единоразовый приём, а продуманная стратегия».
🔹В начале июля компания рассказала, что внутри Claude обнаружилось что-то вроде пространства д…
Сэм Альтман «подсел» на TikTok🎥
Глава OpenAI рассказал в подкасте, что специально начать смотреть TikTok, чтобы разобраться, как работает его алгоритм (как раз компания создавала своё видеоприложение Sora).
Сначала было десять минут перед сном, потом час, а в одну субботу он просидел около трёх часов.
Альтман признаёт, что понимал вред, но в моменте получал удовольствие «как от наркотика». В итоге он просто удалил…
😱23👍5🤯4🔥3
Showing the 12 most recent of 21 posts we hold for @hotcodeit. 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.
Citation-graph rank
Citation-graph rank — 927,416 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.
Mentions
Named by 3 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 12 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Костыль @kostylofficial · 1,372,586 Telegram ranks this channel #6 of 72 here — alongside 71 others — read 12 August 2026
AI и точка. @ai4telegram · 854,565 Telegram ranks this channel #7 of 73 here — alongside 72 others — read 8 August 2026
Discover • Tech News @perplexity · 1,480,156 Telegram ranks this channel #7 of 86 here — alongside 85 others — read 8 August 2026
TechGPT [🅽 🅴 🆆 🆂] 🤖 @TechGPTNews · 284,480 Telegram ranks this channel #10 of 60 here — alongside 59 others — read 10 August 2026
ChatGPT 4.0 & [🅼🅹] | Bot News @ChatGPT_BotNews · 318,060 Telegram ranks this channel #10 of 72 here — alongside 71 others — read 10 August 2026
ГуголЪ | IT и Тренды @google_trends2 · 402,675 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 10 August 2026
Hi, AI • Tech News @hiaimediaen · 568,891 Telegram ranks this channel #40 of 83 here — alongside 82 others — read 9 August 2026
Нейросети & Технологии | DeepTech @DeepTechNET · 302,326 Telegram ranks this channel #42 of 62 here — alongside 61 others — read 10 August 2026
ChatGPT, помоги! @GPThelp_ru · 466,845 Telegram ranks this channel #44 of 91 here — alongside 90 others — read 10 August 2026
This channel appears in 9 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“IT с перцем” (@hotcodeit), 170,382 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/hotcodeit.
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.