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Channel

AI не заменит тебя

@ai_not_replace_you

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

70subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003228059970
TypeChannel
Username@ai_not_replace_you
DescriptionИнженер AI-агентов иронично опровергает мантры о чудотворном AI из уст дефективных манагеров и торговцев успешным успехом.
CreatedBetween 1 October 2025 and 31 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held3
On Telegramt.me/ai_not_replace_you

Growth

697069.57 August 2026 — 69 subscribers8 August 2026 — 70 subscribers9 August 2026 — 70 subscribers7 August 20269 August 2026
3 measurements spanning 2 days, net +1. 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 69–70 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 23:4570no change
8 Aug 2026, 14:5770+1
7 Aug 2026, 18:2669first reading

Engagement

20 posts held, back to 22 July 2026the 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
52.0%
avg views ÷ 70 subscribers
Avg views / post
36.4
20 posts measured
Reaction rate
4.15%
reactions ÷ views · ER floor
Posts in window
20
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 10 of 20 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 8 August 2026
Posts held20 (22 July 20268 August 2026)
Views total728
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 23:45 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
180
Videos
7
Links
43

Lifetime counters from Telegram’s own channel header, read 9 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.

Reaction mix

14 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁642.9%
💯428.6%
🐳214.3%
🔥17.14%
🤨17.14%

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 10 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 14reactions 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 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.

Recent posts

8 Aug 2026, 17:38 UTC19 views1 reactionsread 9 August 2026

Нет, это в лучшем случае эконом+. Да и в целом мотивация так себе. Цирк на рынке труда в IT того не стоит, поверьте, пацаны.

😁1

8 Aug 2026, 15:21 UTC18 viewsread 9 August 2026

ClickHouse — стандарт в аналитике данных Обычно СУБД ассоциируются с такими названиями, как Oracle DB, PostgreSQL и MySQL. Однако все чаще в содержании вакансий — преимущественно связанных с аналитикой данных — можно встретить ClickHouse. Поскольку эта СУБД успела стать стандартом там, где бизнес-задачи требуют быстрой обработки до нескольких ТБ информации. Именно на нем в основном сооружают витрины данных, впоследс

6 Aug 2026, 09:35 UTC27 views1 reactionsread 9 August 2026
Forwarded from @rndml_teamPhoto

🌿 Адаптация мема на нашу индустрию. После физики видим небольшой провал, а потом в вашу жизнь врывается этот эйай. Но график уже не остановить...

💯1

6 Aug 2026, 07:36 UTC25 views1 reactionsread 9 August 2026

TF-IDF: классика, усиливающая современные подходы Как-то я видел запись собеседования на позицию Data Scientist в области NLP. И соискатель не ответил на вопрос, что такое TF-IDF. Казалось бы, и что тут ужасного, ведь весь мир давно перешел на использование нейросетевых архитектур в задачах компьютерной лингвистики. Тем не менее TF-IDF сегодня не только позволяет не только создавать baseline для тех же спам-фильтро

💯1

3 Aug 2026, 12:07 UTC31 views1 reactionsread 9 August 2026

Нет разделения на теоретиков и практиков. Есть профессионалы, а есть послушные исполнители Однажды я непродолжительный период времени работал в своеобразной конторе. Вследствие чего неудивительно, что моим напарником оказался странный персонаж. Он утверждал, что умеет круто писать код на Python в контексте аналитики данных. Но при этом впервые от меня услышал про GIL и ООП. На что возразил, что для него это необязат

💯1

1 Aug 2026, 17:23 UTC42 views1 reactionsread 9 August 2026

Мальчик: > Удалил таблицу из БД, применив DROP TABLE table; > Мужчина: Снес контейнер, в котором была развернута БД, а также том с ней.

😁1

31 Jul 2026, 20:45 UTC42 viewsread 9 August 2026
Forwarded from @oulenspiegel_channelPhoto

Photo, posted without a caption

31 Jul 2026, 07:55 UTC48 viewsread 9 August 2026
Photo

Встречный вопрос Очень много контента, как какой-нибудь дефективный манагер либо мамкин стартапер создал свой SaaS-сервис путем одного тыка в Claude Code, после чего непременно увольняет всех программистов. Я не понимаю, а с чего они решили, что вследствие появления AI-агентов IT-специалисты обязаны теперь перекатываться в водопроводчики, иначе их ждет смерть в нищете? Почему напрочь не приходит мысль, что, напроти

30 Jul 2026, 11:14 UTC53 views3 reactionsread 9 August 2026

Опять ни за что ругают девочек-рекрутеров...

😁2💯1

30 Jul 2026, 08:57 UTC49 viewsread 9 August 2026
Photo

Почему же соискатели отказываются делать тестовые задания? Показываю на примере RAG-системы Скорее всего, Вы знаете мою негативную позицию по тестовым заданиям. Если же нет, то несколько месяцев назад я подробно расписал, почему считаю данную практику порочным артефактом. Однако я решил развить свою мысль. Почему? Потому что, с одной стороны, погрузившись в создание RAG-систем, понял, насколько вглубь это сложная з

30 Jul 2026, 06:56 UTC29 viewsread 9 August 2026
Forwarded from @CpportalPhoto

Матричное умножение в C++: Подключать Eigen? 300 тысяч строк заголовочных файлов. Линковать BLAS? Платформозависимые танцы со сборкой. Писать самому? Удачи с cache locality. C++26 добавляет линейную алгебру в стандартную библиотеку P1673 привносит std::linalg в C++26 — интерфейс линейной алгебры на базе BLAS, использующий std::mdspan для многомерных представлений данных. matrix_product, matrix_vector_product, tri

29 Jul 2026, 08:09 UTC28 views2 reactionsread 9 August 2026
Forwarded from @engineerspock_itPhoto

https://x.com/i/status/2082367125193187398 #твиттота

😁2

Showing the 12 most recent of 20 posts we hold for @ai_not_replace_you. 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

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.

Mentions

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

“AI не заменит тебя” (@ai_not_replace_you), 70 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/ai_not_replace_you.

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.