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Channel

Юрий Петров | ai engineering

@mobile_developing

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

1,574subscribers

-189 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001264044804
TypeChannel
Username@mobile_developing
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/mobile_developing

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 17 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1,5741,7631,668.57 August 2026 — 1,763 subscribers7 August 2026 — 1,763 subscribers10 August 2026 — 1,754 subscribers13 August 2026 — 1,746 subscribers16 August 2026 — 1,709 subscribers19 August 2026 — 1,689 subscribers23 August 2026 — 1,670 subscribers26 August 2026 — 1,655 subscribers29 August 2026 — 1,641 subscribers1 September 2026 — 1,633 subscribers4 September 2026 — 1,608 subscribers10 September 2026 — 1,581 subscribers13 September 2026 — 1,576 subscribers18 September 2026 — 1,574 subscribers7 August 202618 September 2026
14 measurements spanning 42 days, net -189. 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 1,546–1,791 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 15:361,574-2
13 Sept 2026, 21:361,576-5
10 Sept 2026, 01:401,581-27
4 Sept 2026, 23:411,608-25
1 Sept 2026, 00:351,633-8
29 Aug 2026, 08:571,641-14
26 Aug 2026, 03:161,655-15
23 Aug 2026, 13:281,670-19
19 Aug 2026, 14:081,689-20
16 Aug 2026, 14:041,709-37
13 Aug 2026, 02:051,746-8
10 Aug 2026, 06:101,754-9
7 Aug 2026, 15:481,763no change
7 Aug 2026, 14:271,763first reading

Engagement

20 posts held, back to 23 May 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 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 13s
Average length
37s

Measured directly from 2 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

172 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 66.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥11466.3%
👍2414.0%
🤣126.98%
👎74.07%
❤52.91%
😢42.33%
😁31.74%
🐳21.16%
👏10.581%

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 18 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 172 reactions 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 23 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.

Telegram Stars

Stars received
16
across the posts below
Posts paid on
2
of 19 we hold a reading for · 11%
Most on one post
11
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mobile_developing. 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 23 May 2026 to 6 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

6 Aug 2026, 14:31 UTC311 views5 reactionsread 7 August 2026

Борис Черный, инженер Anthropic и создатель Claude Code, показывает, как работать с инструментом на практике. Историю и теорию почти не затрагивает. Переведено, специально для себя)) Речь о том, почему освоение незнакомой кодовой базы занимает дни вместо недель. Дальше про передачу контекста через файлы CLAUDE.md и команду /memory, про то, как принять из предложенной правки только часть строк, чем опасен Bash и поч…

🔥4👍1

5 Aug 2026, 07:59 UTC395 views1 reactionsread 7 August 2026
Photo

Интересно конечно, имея неограниченный доступ к своим моделям, не могут обеспечить нормальный uptime😏

😁1

4 Aug 2026, 07:06 UTC448 views5 reactionsread 7 August 2026

Еще один удар по американской гегемонии в области LLM. Компания Alibaba выпустила Qwen 3.8. На что можно обратить внимание: 1. Модель имеет 2,4 триллиона общих параметров. 2. Появилась поддержка режимов «Thinking» и «Non-Thinking» для гибкого контроля над балансом. 3. Это первая мультимодальная модель семейства, преодолевающая барьер в триллион параметров. 4. Модель задает новую планку в программировании и способна а…

🔥5

28 Jul 2026, 07:18 UTC711 views13 reactionsread 7 August 2026

Moonshot AI, как и обещали, дропнули в open-source свою топовую нейронку. https://huggingface.co/moonshotai/Kimi-K3 Что реально интересно: 1. Первая в мире открытая модель класса 3T — 2,8 триллиона параметров. 2. Революционная архитектура внимания. Модель построена на новых механизмах Kimi Delta Attention и Attention Residuals (надо будет на курсе изучить эти подходы). 3. Встроенный автономный агент для разработки.…

👍13

27 Jul 2026, 09:30 UTC799 views15 reactionsread 7 August 2026
Video

Парень на Claude Opus 5 одним промтом сделал 3D-шутер, похожий на Call of Duty. https://github.com/mshumer/Claude-of-Duty Мда, похоже, скоро и игроделов ИИ заменит. Вот, собственно, и сам промт: I want you to build a first-person shooter at the level of the most recent Call of Duty games. It should be utterly perfect, visually beautiful, with every single thing done at AAA quality—from textures to physics to anyth…

🤣11🔥4

27 Jul 2026, 07:51 UTC582 views4 reactionsread 7 August 2026

Как собрать свою GPT с нуля и наконец понять, что у LLM внутри? https://stepik.org/a/276236 Большинство работает с языковыми моделями как с чёрным ящиком: вызвал API - получил ответ. Но на собеседованиях и в реальных задачах всё чаще нужно понимать, как модель устроена под капотом: • Как текст превращается в токены и векторы? • Как на самом деле работает механизм внимания (attention)? • Что происходит внутри трансфо…

👍2🔥1🤣1

26 Jul 2026, 12:42 UTC572 views7 reactionsread 7 August 2026
Photo

Встречайте крупное обновление курса - Математика LLM — Создаем Большую Языковую Модель своими руками Добавил 14-ый модуль: Улучшаем генерацию: sampling, температура, top-k и top-p, где учим модель отвечать по-разному: вместо жадного argmax — сэмплирование, температура, top-k и top-p. Посчитаем, как всегда, всё ручками) и улучшим нашу модель. - Проблема жадной генерации. - Sampling, выбор следующего токена случайно…

🔥5👏1😁1

26 Jul 2026, 07:08 UTC576 views8 reactionsread 7 August 2026

Вышел Opus 5, говорят дешевле чем Fable, но ничем ему не уступает.

🔥8

18 Jul 2026, 15:32 UTCviews —

Юрий Петров | ai engineering pinned «Всем привет, встречайте обновление курса «Математика LLM — Создаем Большую Языковую Модель своими руками» , где: ✅ Полностью пересчитал на бумажке и через NumPy все расчёты, тензоры и матрицы. ✅ Переработал код, теперь это не просто простыня непонятного…»

18 Jul 2026, 15:30 UTC911 views8 reactions5 Starsread 7 August 2026

Всем привет, встречайте обновление курса «Математика LLM — Создаем Большую Языковую Модель своими руками» , где: ✅ Полностью пересчитал на бумажке и через NumPy все расчёты, тензоры и матрицы. ✅ Переработал код, теперь это не просто простыня непонятного кода, а разбил на логичные шаги. ✅ Добавил ко всем модулям проверочные задания. ✅ Добавил картинки в сложные для понимания шаги. Также, полностью понял и разобра…

🔥8

1 Jul 2026, 06:35 UTC≈1,260 views4 reactionsread 7 August 2026
Photo

Не долго музыка играла...

😢4

6 Jun 2026, 10:39 UTC≈1,710 views16 reactionsread 7 August 2026
Video

Всем привет, хотите написать свой Claude Code и понять, как он работает? Тогда для вас хорошая новость, я доделал полностью курс: Создание AI-агентов на Go: Eino (LangGraph), ReAct, RAG, MCP. Это практический курс по разработке AI-агентов на Go. Где мы собираем агента Mini Code (аналог Claude Code) своими руками: от первого вызова языковой модели до рассуждающего ассистента, который пользуется инструментами, сам пи…

🔥15😁1

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

Mentions

Named by 2 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Flutter Heroes
@flutterDev · 22,422
Telegram ranks this channel #42 of 87 here — alongside 86 others — read 20 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Юрий Петров | ai engineering” (@mobile_developing), 1,574 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/mobile_developing.

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.