Telegram RegisterThe public register of Telegram

Channel

AIзбука

@AIzbuka

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

366subscribers

+0 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-1002545968324
TypeChannel
Username@AIzbuka
DescriptionЛикбез (ликвидация безграмотности) по теме AI (Artificial Intelligence или ИИ — искусственный интеллект). Предназначен для всех, но особенно для инженеров, потому что они особо тяжёлый случай. Ссылка на канал: https://t.me/AIzbuka Контакт: @apple_rom
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/AIzbuka

Growth

3667 Aug 2026, 19:44 — 366 subscribers8 Aug 2026, 06:31 — 366 subscribers7 Aug 2026, 19:448 Aug 2026, 06:31
2 measurements taken within a single day. 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 365–367 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 06:31366no change
7 Aug 2026, 19:44366first reading

Engagement

20 posts held, back to 27 May 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
84.8%
avg views ÷ 366 subscribers
Avg views / post
311
15 posts measured
Reaction rate
1.51%
reactions ÷ views · ER floor
Posts in window
15
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 11 of 15 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 6 August 2026
Posts held20 (27 May 20266 August 2026)
Views total4,658
Reactions total58
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:31 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
96
Videos
2
Links
86

Lifetime counters from Telegram’s own channel header, read 8 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
1m 04s
Average length
1m 04s

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

92 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 44.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4144.6%
😁1516.3%
88.70%
66.52%
💯66.52%
🔥66.52%
😈44.35%
👏33.26%
🤯22.17%
🤮11.09%

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 15 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 92reactions 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 27 May 2026 to 6 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

6 Aug 2026, 11:09 UTC131 views5 reactionsread 8 August 2026
Photo

Цени честность и будь добрее!

😈4😁1

6 Aug 2026, 08:34 UTC146 viewsread 8 August 2026
Photo

Как доказательство того, что модельки не знают своих возможностей. Даже по прямой просьбе анализа последней официальной документации, самая сильная на теперь GPT-5.6-Sol Pro, не знает критически важных параметров, для выбора запуска субагентов под твою задачу. Это и отражение скорости развития, и отражение беспорядка в документации одновременно. Поэтому все промпты в стиле "сам настрой себе агентов как надо" всегд

2 Aug 2026, 09:35 UTC246 views3 reactionsread 8 August 2026

ЧНЗМ 2 — Сроки разработки Ты вбиваешь ТЗ на проект или фичу и просишь рассчитать AI хотя бы приблизительные сроки разработки задания-фичи-проекта. БЕЗ ШАНСОВ! Модельки научены на "человеческих данных". Они прочитали много много умных книг за последние 20+ лет и хорошо знают, что обычный (даже хороший) программист способен выдавать несколько десятков строк кода в день работы. В то время, как с использованием AI,

👍3

1 Aug 2026, 07:52 UTC239 views8 reactionsread 8 August 2026

Чего не знают модельки (ЧНЗМ) Популярная ошибка примерно всех пользователей AI — проникнувшись реально великолепными ответами по суперсложным задачам, доверять их ответам по всем темам. Не учитывая, что многие темы модельки просто не знают по определению и поэтому не способны ответить адекватно. При этом они выдадут ответ и очень уверенно аргументируют его, если потребуется. ЧНЗМ 1 — Модельки не знают своих спосо

👍8

1 Aug 2026, 07:10 UTC200 viewsread 8 August 2026
Photo

Codex — ужас и крутизна Использую сам и рекомендую другим Codex. Но то, что у него под капотом, как это работает — просто ужас. При этом фичи и скорость развития Codex — невероятная крутизна. Вытягивают этот ужас реально крутые модельки и их тренировка уже под Codex. Поэтому просто сменить на другие харнесы, например, запуская GPT модели в OpenCode или даже Claude Code (что запросто можно, кто не знал), не получ

31 Jul 2026, 20:23 UTC200 views2 reactionsread 8 August 2026

Используешь в Codex в качестве модельки Terra? Не жми на первую Terra, вернхяя будет давать ошибки. Жми только на нижнюю! 😁

🤯2

31 Jul 2026, 09:44 UTC221 viewsread 8 August 2026
Photo

Luna доступна в OpenCode Go (реф.ссылка) подписке!

30 Jul 2026, 20:17 UTC283 views2 reactionsread 8 August 2026
Photo

Цены на Luna и Terra сильно упали и в результате Codex подписка сейчас просто вне конкуренции. Чтобы понимать, как и какие модели на каких уровнях мышления будут тратить лимиты, вот сравнительная таблица. То есть за 100% берётся самая "лимитожрущая" Sol Max, если её тебе хватает лишь на час работы, при переключении на Luna Low ты получишь 500 часов работы! С учётом интеллекта моделей, особо выгодными получаются: 1

👍2

27 Jul 2026, 09:23 UTC349 views5 reactionsread 8 August 2026

Вопрос: Что использовать, если нужно что-то сделать в браузере — Browser Use или Computer Use? Ответ: Browser Use, с его помощью моделька "лучше видит" ссылки и другие элементы, там точность максимальная. Computer Use для "других" приложений, его точность ниже.

3👍2

27 Jul 2026, 07:48 UTC311 views5 reactionsread 8 August 2026

Как научиться работать с AI — версия RU В русскоязычной части интернета на текущий момент есть большой и понятный перекос в сторону китайских моделек. Которые при этом сейчас очень сильные, например, на момент написания поста это Kimi K3, MiniMax 3, GLM 5.2 и другие. Однако, если ты новичок и только начинаешь и у тебя есть возможность и доступ к сильным моделям, читай Anthropic и OpenAI, то начинать нужно именно с

👍5

24 Jul 2026, 18:51 UTC261 viewsread 8 August 2026
Forwarded from @the_ai_architectPoll

Мой основной инструмент для AI coding это...

  1. ничем не пользуюсь2%
  2. Codex37%
  3. Claude Code37%
  4. Github Copilot1%
  5. Opencode7%
  6. Cursor8%
  7. chatgpt/claude/deepseek (копирую из чата в IDE и обратно)3%
  8. другое (напишу в комменты)5%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

24 Jul 2026, 09:25 UTC296 views6 reactionsread 8 August 2026

Лучшие подписки для работы с AI агентами Их на теперь две: 1. Безусловный лидер с громадным (кратным) отрывом, это Codex Plus 20$, Codex Pro Lite 100$ (5x от "обычных" лимитов) и король на текущий день Codex Pro 200$ (20x от "обычных" лимитов). 2. OpenCode Go 10$ (первый месяц 5$) — набор опенсорсовых моделек, включая Kimi K3, GLM 5.2, MiniMax M3 с хорошими лимитами. Claude подписок в списке нет, потому что они

👍5💯1

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

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

24 Jul 2026, 18:51 UTCAnonymous Poll3,290 voters approx.

Мой основной инструмент для AI coding это...

  1. ничем не пользуюсь2%
  2. Codex37%
  3. Claude Code37%
  4. Github Copilot1%
  5. Opencode7%
  6. Cursor8%
  7. chatgpt/claude/deepseek (копирую из чата в IDE и обратно)3%
  8. другое (напишу в комменты)5%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 27 May 2026 to 6 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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

“AIзбука” (@AIzbuka), 366 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/AIzbuka.

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.