Channel
@Lev_AI_systems
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
32subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004392570522 |
|---|---|
| Type | Channel |
| Username | @Lev_AI_systems |
| Created | Between 1 June 2026 and 17 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 13 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 13 October 2026 |
| On Telegram | t.me/Lev_AI_systems |
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 30 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Oct 2026, 03:10 | 32 | -1 |
| 17 Sept 2026, 09:22 | 33 | -1 |
| 10 Sept 2026, 08:01 | 34 | +1 |
| 1 Sept 2026, 06:14 | 33 | +1 |
| 24 Aug 2026, 13:16 | 32 | -1 |
| 15 Aug 2026, 20:04 | 33 | +2 |
| 11 Aug 2026, 03:31 | 31 | no change |
| 7 Aug 2026, 19:40 | 31 | first reading |
19 posts held, back to 17 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 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 19 posts for this entry, the most recent from 10 August 2026. An engagement rate over an empty window would be a number about nothing.
123 reactions across 18 posts, in 8 distinct kinds. The most used accounts for 39.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 48 | 39.0% | |
| 👍 | 34 | 27.6% | |
| ❤ | 17 | 13.8% | |
| ⚡ | 12 | 9.76% | |
| custom 5312241539987020022 | 6 | 4.88% | |
| 🏆 | 3 | 2.44% | |
| 💯 | 2 | 1.63% | |
| custom 5350554349074391003 | 1 | 0.813% |
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 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 123 reactions 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 17 July 2026 to 10 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.
ближайшие 3 дня здесь будет мясо я запускаю серию «ии-сотрудник» про 3 изменения, после которых нейросеть перестаёт быть просто помощником и становится сотрудником, который регулярно выполняет за вас работу завтра — расскажу, как заставить агентов перестать забывать ваши правки и контекст послезавтра — как заставить их регулярно выполнять за вас работу в любое время, даже если ваш ноутбук закрыт а в финале — как…
🔥1
gpt стал лучшим бизнес-стратегом раньше я бы скорее делегировал ему разработку архитектуры, написание рабочих текстов и кода а придумывать сам продукт, прописывать стратегию и контент план, пошёл бы к другой модели или делал бы сам буквально вчера это полностью изменилось openai обновила gpt-5.6 sol для plus и pro и внутри gpt произошло 3 глобальных изменения, которые перевернули всё: первое, главное изменение в…
👍3🔥3⚡2
Лев | делегируй работу AI pinned «»
Posted without readable text
❤3🔥3👍2
вижу — тема реально зашла раз огоньки пошли, значит не зря спрашивал специально под вас собираю разбор: какие модели использовать для каких задач завтра выкладываю
❤3👍2🔥2
слушайте, моделей вышло за последнее время уж очень много про многих я даже не успел рассказать и у меня к вам такой вопрос а что если я выложу пост, где разберу, какие модели вообще для каких задач использовать по итогу? если интересно — дайте знать огоньками 🔥
🔥9❤2💯2
DeepSeek обновили V4 Flash в API и выпустили новую V4-Flash-0731 которая опередила почти всех топов, по 2 причинам: первая - уровень работы эта модель по официальным бенчмаркам работает на уровне glm-5.2 / opus 4.8 / gpt-5.5 то есть на уровне лучшего, что было доступно в апреле этого года вторая — цена миллион входных/выходных токенов у неё стоит всего $0.14/$0.28, что примерно в 30 раз дешевле, чем у других то…
🔥3⚡2👍2
Posted without readable text
👍3⚡1🔥1
огни набрали — держите обещанный гайд по подключению и использованию чит кода этот гайд будет очень ценен для тех: — кто использует апи от Kimi k3 в своих python системах (как я) — и для тех, кто работает с ним в оригинальном интерфейсе и часто в разные чаты отправляет одни и те же файлы/промпты/инструкции к примеру, контекстные файлы, в которых находится вся инфа о вас
🔥3👍2⚡1
не сдержался и упаковал этот чит код в вот такой офигенный Html файл как добьём последние 2 🔥 - сразу выложу его
🔥6👍2⚡1
kimi k3 пишет почти полностью идеальные тексты в моём стиле но при этом жрёт примерно по доллару на написание двух обычных постов... обещал поделиться своими ощущениями от работы с ним — держите как только я увидел новость об выходе kimi k3 — сразу же его купил и добавил в свою python-систему для написания постов по качеству — кайф текст пишет живой, в моём стиле, я правлю его минимально он следует всем правил…
🔥6❤2👍2
Posted without readable text
🔥3🏆2👍2
Showing the 12 most recent of 19 posts we hold for @Lev_AI_systems. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 13 October 2026 — this entry's latest reading, not the date you are reading this.
“Лев | делегируй работу AI” (@Lev_AI_systems), 32 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/Lev_AI_systems.
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.