2 measurements spanning 3 days. 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 49–51 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 11:31
50
no change
7 Aug 2026, 16:17
50
first reading
Engagement
12 posts held, back to 22 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
64.2%
avg views ÷ 50 subscribers
Avg views / post
32.1
12 posts measured
Reaction rate
5.19%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 8 August 2026
Posts held
12 (22 July 2026 – 8 August 2026)
Views total
385
Reactions total
20
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 11:31 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
91
Videos
31
Links
78
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
5m 36s
Average length
1m 52s
Measured directly from 3 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
20 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 30.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6
30.0%
🔥
4
20.0%
😁
4
20.0%
🤣
3
15.0%
🤔
2
10.0%
👏
1
5.00%
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 12 of the 12 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 22 July 2026 to 8 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.
В сети гуляет новость, что какие-то ученые предложили сократить население в 2 раза
По словам исследователей, если людей будет 4 млрд, можно значительно сэкономить ресурсы, сократить выбросы углекислого газа и сохранить биосферу
Опять Танос за свое
Дневник Шери | AI
Вышел Seedance 2.5
Модель для генерации видео улучшили с упором на точный контроль и работу с длинными форматами. Согласно прошлому анонсу, модель теперь способна создавать связные 30-секундные клипы, а в бета-версии доступно их бесшовное продление до 180 секунд
Официальный сайт
Дневник Шери | AI
Вышел Obsidian Mind - сервис, добавляющий функцию постоянной памяти для ИИ-агентов (Claude Code, Codex, Gemini)
Инструмент работает как контекстная база, которая сохраняет информацию о решенных задачах и передает этот опыт в следующие сессии. Универсальное хранилище облегчает миграцию контекста между платформами.
Ссылка
Дневник Шери | AI
Kimi K3 теперь можно запустить дома бесплатно!!!🥳🥳🥳
Moonshot AI выполнила обещание и опубликовала полную модель Kimi K3. Теперь можно не платить $99 в месяц за тариф, а бесплатно запустить модель на собственном оборудовании.
Ловите простой гайд:
1) Скачайте модель с Hugging Face файлы общим объёмом 1,56 ТБ
2) Найдите кластер, способный разместить модель и служебные данные в памяти. Стоимость железа всего лишь от $7…
Кодинг умер 🙂
Автор книг «Чистый код» и «Чистая архитектура» Роберт Мартин, тот самый Дядя Боб - признался, что код от своих ИИ агентов он теперь не читает вообще
Раньше он проверял каждую строчку. Теперь просто обвешивает агентов проверками: юнит-тесты, Gherkin-сценарии, QA, метрики качества, mutation testing, контроль покрытия. Говорит, только так реально получится ускорить всю работу ИИ
Особенно иронично слышат…
Топ-3 промпта, которые максимально бустят работу любой нейронки
1. Ещё один такой косяк и я навсегда ухожу в ChatGPT (Если работаете в Claude)
2. Сука!!! Ты тупой!!! Запиши себе в память проекта и общую память ЗАРУБИ СЕБЕ НА НОСУ никогда так не делать
3. Позорище!! По-твоему это лучший результат для самой умной и дорогой модели??
Пет-проект
Claude Opus 5 одним промптом собрал шутер - Claude of Duty
На GitHub появился Claude of Duty - браузерный FPS на Three.js, созданный новой моделью Claude Opus 5 практически из одного большого промпта.
Внутри - около 55 тысяч строк кода и 11 игровых систем. При этом готовых ассетов нет вообще: текстуры, модели, анимации и даже звуки генерируются процедурно из кода.
Наглядный пример того, насколько далеко уже зашёл …
Anthropic представила Claude Opus 5 - новую флагманскую модель для кодинга, AI-агентов и сложных рабочих задач.
Главное:
- заметно сильнее Opus 4.8 при той же цене;
- лучше проверяет свою работу и исправляет ошибки;
- сильнее справляется с длинными многоэтапными задачами;
- улучшена работа с кодом, исследованиями, данными и визуальными интерфейсами;
- доступен ускоренный Fast Mode - примерно в 2,5 раза быстрее.
По …
Showing the 12 most recent of 12 posts we hold for @sheriblog. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Дневник Шери | AI” (@sheriblog), 50 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/sheriblog.
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.