👀 Claude начал оставлять невидимые метки в своих текстах Anthropic тестирует маркировку AI-контента: сгенерированный Claude текст может содержать невидимые водяные знаки, которые пользователь глазами не замечает. Самое интересное - метка может сохраняться после копирования текста и некоторых правок. Если технология действительно получит массовое распространение, преподавателям и сервисам проверки станет проще опре…

Channel
AI MM | Нейросети | Технологии
@AI_Money_Maker
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
5,424subscribers
-6 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 | -1001977239056 |
|---|---|
| Type | Channel |
| Username | @AI_Money_Maker |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/AI_Money_Maker |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 01:27 | 5,424 | -7 |
| 10 Aug 2026, 06:10 | 5,431 | +1 |
| 7 Aug 2026, 12:33 | 5,430 | no change |
| 7 Aug 2026, 12:28 | 5,430 | first reading |
Engagement
20 posts held, back to 12 February 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 7 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.23%
- avg views ÷ 5,424 subscribers
- Avg views / post
- 338
- 3 posts measured
- Reaction rate
- 0.634%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 20 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 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 20 (12 February 2026 – 11 August 2026) |
| Views total | 1,013 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:18 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
- 5m 13s
- Average length
- 39s
Measured directly from 8 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
124 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 79.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 98 | 79.0% | |
| 👍 | 22 | 17.7% | |
| 😁 | 2 | 1.61% | |
| ✍ | 1 | 0.806% | |
| 👎 | 1 | 0.806% |
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 19 of the 20 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 124reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 12 February 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 20 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 @AI_Money_Maker. 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 20 most recent posts we hold for this entry, published 12 February 2026 to 11 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.
Recent posts
🤖 Сооснователь HeyGen ушёл в декрет - вместо него работал ИИ-клон Уэйн Лян создал цифрового двойника на базе аватара HeyGen и OpenClaw, чтобы тот общался с клиентами во время его отпуска. За 8 недель ИИ-клон, по данным кейса: • провёл 2741 разговор • привлёк 132 клиента • запустил 37 сделок потенциально на $3 млн Но агент быстро напомнил, почему давать ИИ полную свободу пока рано: придумал несуществующий тариф за…
👍2
🤖 Эндрю Ын выпустил OpenWorker - локального ИИ-сотрудника для компьютера Сооснователь Coursera и один из самых известных специалистов в мире ИИ Эндрю Ын представил OpenWorker — open-source ассистента, который автоматизирует рабочие задачи прямо на вашем компьютере. Что умеет: • 📄 Создаёт документы, обрабатывает почту и помогает с календарём • 🔗 Интегрируется с 25+ сервисами: GitHub, Slack, Jira, Notion, Google Wor…
✍1👍1🔥1
🚀 Google бесплатно раздаёт 1 миллион токенов Gemini Если давно хотели попробовать Gemini через API - сейчас это можно сделать без банковской карты, подписки и каких-либо заморочек. Получить токены можно буквально за пару минут: 1️⃣ Заходите в Google AI Studio 2️⃣ Нажимаете Create API Key 3️⃣ Настраиваете квоты и можно работать Токены доступны для топовых моделей: 🧠 Gemini 2.5 Flash ⚡ Gemini 2.5 Flash-Lite 💎 Gemi…
🔥9
⚡️ Gemini 3.5 Flash вышла - Google снова давят рынок (и бесплатно) Google выкатили Gemini 3.5 Flash, и по первым результатам это очень серьёзный апдейт. Что прокачали: 🧠 Кодинг стал заметно сильнее Модель лучше пишет, понимает и исправляет код — рост в тестах очень ощутимый. 🤖 Агентские задачи Лучше справляется с многошаговыми действиями: анализ, планирование, выполнение цепочек задач. 📈 Сильный скачок в бенчмар…
🔥4
⚠️ У OpenAI что-то меняется и это не просто так За последние дни компания начала сворачивать и пересобирать ряд направлений. Не паника, но сигналы есть. Что происходит: — 🎬 Sora притормозили Генерация видео временно уходит в тень. Модель была громкой, но до стабильного продакшена так и не дотянула. — 🛒 Шопинг внутри ChatGPT не зашёл Функцию добавили, но пользователям это оказалось не нужно. Люди приходят за ответ…
🔥6
🎨 Как выжать максимум из Nano Banana - сокровищница промптов На GitHub собрали огромную подборку самых необычных кейсов с готовыми промптами и это реально золото для идей. Что там есть: — 🧩 манга, комиксы, аниме-стили — 🧱 сцены в стиле LEGO, Gundam, Minecraft — 🗺 даже Google Maps Средиземья — 💄 виртуальный макияж и эксперименты с лицами — 🧠 куча нестандартных визуальных концептов, до которых самому долго доходить …
🔥3
🤯 Google снова ускорились - Stitch может стать лучшим дизайн-агентом Пока все только привыкают к прошлым апдейтам, Google выкатывает Stitch - инструмент, который уже сейчас выглядит как полноценный AI-дизайнер интерфейсов. Что делает: — ✏️ принимает скетчи от руки, картинки, код — 🖥 на выходе даёт не макет, а кликабельный концепт — 🎙 поддерживает управление голосом — ♾ работает в формате бесконечного холста — 🎨 инт…
👍5🔥3
🧠 В ChatGPT появились интерактивные визуализации науки и математики Теперь ChatGPT умеет наглядно показывать, как работают сложные концепции. Можно буквально «поиграть» с формулами и моделями. Как это выглядит: — вводите тему — ChatGPT строит визуальную модель — появляются ползунки для переменных — меняете параметры и сразу видите результат в реальном времени Всего поддерживается около 70 ключевых научных и матема…
🔥10
Anthropic добавили новую фичу: Claude научился генерировать визуализации данных прямо внутри диалога. Что можно делать: — 📈 строить графики и диаграммы — ⏳ создавать таймлайны событий — 🧩 рисовать схемы и структуры — 📊 визуализировать сложные данные Самое интересное - графики не просто картинки. Они сделаны через HTML и SVG, поэтому становятся интерактивными: можно масштабировать, изучать элементы и буквально «пров…
🔥8
📊 Рынок ИИ-чатботов резко ускорился - свежая статистика Интересные цифры из нового исследования Andreessen Horowitz (a16z). За последний год платные пользователи выросли очень резко: — Claude: +200% подписчиков — Gemini: +258% ChatGPT всё ещё остаётся лидером рынка, но конкуренты начинают заметно сокращать дистанцию. Отдельный любопытный момент: в России по доле пользователей среди чат-ботов DeepSeek уже сравнял…
🔥3
⚡️ ChatGPT-5.3 официально вышла Обновление сфокусировано не на «вау-демо», а на реальном повседневном использовании. Что изменилось: 🔎 Поиск в интернете стал умнее Теперь модель лучше объединяет свои знания и результаты поиска - ответы стали точнее, структурированнее и ближе к сути запроса. 🧠 Меньше галлюцинаций Контекст держится стабильнее, логика не разваливается на длинных диалогах. 🎯 Лучше понимает подтекст …
🔥8👎1
Showing the 12 most recent of 20 posts we hold for @AI_Money_Maker. 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 — 368,161 of 1,183,361entries 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“AI MM | Нейросети | Технологии” (@AI_Money_Maker), 5,424 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/AI_Money_Maker.
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.