6 measurements spanning 9 days, net -23. 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 2,370–2,399 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 08:55
2,373
-8
13 Aug 2026, 05:54
2,381
-5
10 Aug 2026, 11:20
2,386
-9
7 Aug 2026, 20:52
2,395
-1
7 Aug 2026, 18:47
2,396
no change
7 Aug 2026, 18:29
2,396
first reading
Engagement
19 posts held, back to 8 June 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
26.1%
avg views ÷ 2,373 subscribers
Avg views / post
620
4 posts measured
Reaction rate
1.13%
reactions ÷ views · ER floor
Posts in window
4
of 19 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 August 2026
Posts held
19 (8 June 2026 – 3 August 2026)
Views total
2,479
Reactions total
28
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:47 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
32s
Average length
32s
Measured directly from 1 video 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
217 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 43.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
94
43.3%
😁
62
28.6%
❤
25
11.5%
👍
22
10.1%
😱
9
4.15%
🥰
3
1.38%
👎
1
0.461%
😈
1
0.461%
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 19 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 217reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 8 June 2026 to 3 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.
Китайский Tencent вытащил в open-source фреймворк агентской памяти Agent Memory
Безусловно, агентский memory harness можно собрать по-отдельности. Взять память, code graph, сделать self-improvement skills.
А у tencent все уже собрано и работает слаженно!
Результат на memory бенче PersonaMem +59% при подключении фреймворка китайцев.
Надо тестить, выглядит как упрощение жизни!
#ии_инструменты
@neurovibe_ai
Из интервью Андрея Карпатого:
«Передовые ИИ-лаборатории сейчас выглядят так: большой опенспейс, сидят люди в очках и что-то шепчут в компьютер. Они больше не пишут код вообще, они «выражают свою волю и манифестируют задачи роям агентов». Главный навык новых ИТшников это способность к декомпозиции и правильно давать инструкции. А если что-то не работает - это не предел технологии, а «нехватка навыка» у разработчика.»
Ищу GenAI тимлида в команду Мосбиржи. В опыте - управление командами web разработки, highload проекты. А затем, с приходом GenAI переквалификация в внедрение AI в командную разработку. Опыт проектирования AI агентных систем также требуется.
Резюме можно прислать на @true_gpt_support , с коротким сопроводительным - ключевые ИИ проекты, реализованные за последний год + состав ролей в управляемых командах разработки + …
Тренд дошел до РФ, растет доля ии агентов на маркетплейсах и сайтах, доля «кожаных» заходов через браузеры падает.
Теперь уже об этом пишет Коммерсантъ
Чем хорош этот канал? Здесь все тренды публикую на полгода раньше минимум!
https://www.kommersant.ru/doc/8829880?from=top_main_8
Актуальный рейтинг LLM с точки зрения поиска багов / рефакторинга кода
Найти ошибку в коде уже существующего проекта, провести оптимизацию производительности - популярная и когнитивно сложная задача. И хорошо годится для сравнения способностей LLM моделей между собой.
Выше результаты сравнения топ языковых моделей на закрытом бенче, в основе которого 7k- строчный python проект с запрятанными логическими и перформан…
Алилуя, на подписке max не будут отключать fable 5 - акцию устрашения с его закрытием отменили, и после 19 июля доступ у подписчиков останется.
Использовать можно 50% лимитов подписки на fable 5.
@neurovibe_ai
CEO Coinbase заявил, что перевел разработчиков на дешевые китайские модели, вместо Anthropic и OpenAI. Эффект - экономия на общей стоимости токенов в два раза.
91% разработчиков теперь используют модели GLM 5.2 и Kimi 2.7. Американские модели тоже доступны, но только для сложных случаев.
При этом в Coinbase внедрили систему автоматического background роутинга запросов к наиболее оптимальной модели. Также внедрили к…
Вышла open source замена Figma - OpenPencil
Открывает файлы .fig, есть встроенный AI-агент с поддержкой локальных и OpenRouter api моделей.
Уже есть свой MCP-сервер, так что можно подключить к любому агенту, включая Claude code / codex.
Есть также web версия, потыкать можно здесь
@neurovibe_ai
Showing the 12 most recent of 19 posts we hold for @neurovibe_ai. 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 — 1,202,965 of 1,481,306entries 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 1 registered channel — 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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“НейроВайб ИИ // Армен Амирханян” (@neurovibe_ai), 2,373 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/neurovibe_ai.
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.