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Channel

GPT Time | Нейросети | ИИ

@gpt_time24

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

6,137subscribers

+64 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002694981801
TypeChannel
Username@gpt_time24
DescriptionВсё о нейросетях, ИИ и технологиях будущего. Новости, обзоры, инсайды, инструменты и тренды — просто и понятно о самом сложном. Подписывайтесь, чтобы не отставать от прогресса. Реклама @ai_dima (при обращении укажите канал @gpt_time24)
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/gpt_time24

Growth

6,0736,1376,1057 August 2026 — 6,073 subscribers7 August 2026 — 6,073 subscribers8 August 2026 — 6,079 subscribers11 August 2026 — 6,137 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net +64. 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 6,063–6,147 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 08:236,137+58
8 Aug 2026, 01:286,079+6
7 Aug 2026, 18:316,073no change
7 Aug 2026, 18:196,073first reading

Engagement

59 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.69%
avg views ÷ 6,137 subscribers
Avg views / post
533
59 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
59
of 59 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 36 of 59 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held59 (6 August 202611 August 2026)
Views total31,463
Reactions total205
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:29 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
1,090
Videos
1,070
Links
1,790

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
15m 57s
Average length
53s

Measured directly from 18 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

205 reactions across 34 posts, in 13 distinct kinds. The most used accounts for 28.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5828.3%
😁4923.9%
👍4522.0%
🔥3115.1%
👏73.41%
❤‍🔥41.95%
💔31.46%
👎20.976%
😢20.976%
👀10.488%
💊10.488%
🤩10.488%
🤷‍♂10.488%

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 36 of the 59 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 205reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 59 most recent posts we hold, published 6 August 2026 to 11 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.

Recent posts

11 Aug 2026, 18:02 UTC367 views1 reactionsread 12 August 2026
Video

Тест на анти-нейрослоп: сможете отличить ИИ от реальности? Сайт Slopcheck каждый день показывает шесть изображений — среди них есть настоящие фотографии и сгенерированные нейросетью картинки. Нужно угадать, что реально, а что создано ИИ. После ответа сервис разбирает ошибки и показывает детали, которые выдают генерацию: странные текстуры, неестественный свет или невозможные детали. Попробовать

1

11 Aug 2026, 17:03 UTC414 views2 reactionsread 12 August 2026
Photo

Claude начнёт помечать контент, созданный ИИ 🤖 Anthropic добавит во все новые модели Claude после 2 августа 2026 года машиночитаемые метки происхождения. Текст, созданный или отредактированный нейросетью, будет содержать незаметный водяной знак, который сохраняется даже после копирования. А изображения в форматах PNG, JPG и SVG будут получать метаданные с цифровой подписью. Нововведение связано с требованиями ЕС п

👎2

11 Aug 2026, 15:05 UTC447 views2 reactionsread 12 August 2026
Video

GitHub превратили в TikTok для программистов. Появился сервис с бесконечной лентой в стиле думскроллинга, только вместо мемов — популярные репозитории, проекты и находки из GitHub. Можно просто листать идеи и инструменты, а если войти через свой GitHub-аккаунт, алгоритм будет подбирать контент под ваши интересы и любимые технологии. Попробовать

1👍1

11 Aug 2026, 14:01 UTC481 views3 reactionsread 12 August 2026
Video

ИИ научился переносить человеческие движения на роботов 🤖 Представлена Dyna-2 — модель мировых действий, которую обучили на 1 млн часов видео с участием людей. Исследователи обнаружили сразу несколько закономерностей: • качество модели продолжает расти при увеличении объёма человеческих видео — от 1 тыс. до 1 млн часов данных; • этот рост переносится даже на новые роботизированные данные, которых модель раньше не

3

11 Aug 2026, 12:04 UTC536 views1 reactionsread 12 August 2026
Photo

Anthropic решила не повышать цену Claude Sonnet 5 🤖💸 Изначально модель запустили по промоцене $2 за 1 млн входных токенов и $10 за 1 млн выходных — она должна была действовать только до 31 августа. Но Anthropic решила оставить эти тарифы постоянными. Получается, временная цена стала обычной. Источник

👍1

11 Aug 2026, 10:05 UTC650 views4 reactionsread 12 August 2026
Photo

🌐У Google начались проблемы с DeepMind: модели задерживаются, сотрудники уходят Google начала реорганизацию DeepMind на фоне задержек с новыми моделями и оттока ведущих исследователей, пишет Fortune. Главная проблема — Gemini 3.5 Pro. Её обещали выпустить ещё в июне, но модель до сих пор не вышла. При этом Google рассчитывала с её помощью конкурировать с передовыми решениями OpenAI и Anthropic. Внутри лаборатории

💔31

11 Aug 2026, 09:02 UTC549 viewsread 12 August 2026
Photo

Time начал показывать рекламу не людям, а ИИ-агентам 🤖 Журнал сделал упрощённые Markdown-версии своих статей, которые удобнее читать ИИ-краулерам и агентам. А теперь начал размещать там специальную рекламу. Первые рекламодатели — Ally Bank и Project Management Institute. Реклама выглядит как FAQ: ИИ-агент получает информацию о бренде и его ключевые сообщения, а затем может использовать их при формировании ответов

11 Aug 2026, 07:01 UTC564 views3 reactionsread 12 August 2026
Video

ИИ попытались заново нарисовать «Американскую готику» — и нашли деталь, которой не было в промпте 🎨🤖 Claude Fable 5, Opus 5 и GPT Sol получили одну задачу: поэтапно воссоздать знаменитую картину Гранта Вуда в одном HTML-файле. Но Fable 5 пошла дальше. Перед тем как дорисовать вилы, модель сама объяснила, что их зубцы визуально повторяют швы на комбинезоне мужчины. И это не случайная фантазия. Искусствоведы действи

3

11 Aug 2026, 05:01 UTC581 views8 reactionsread 12 August 2026
Video

Lunavity: рюкзак-дрон, который заставляет человека прыгать выше 🚀 Исследователи Токийского университета разработали Lunavity — рюкзак с роторами, которые создают дополнительную тягу вверх. В результате человек может прыгать в 2–3 раза выше обычного, а при приземлении устройство помогает замедлить падение. Источник

👍51👀1💊1

Showing the 12 most recent of 59 posts we hold for @gpt_time24. 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 — 691,449 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.

Forward network

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.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“GPT Time | Нейросети | ИИ” (@gpt_time24), 6,137 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/gpt_time24.

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.