* Занимаюсь исследованиями и AI с приколом по жизни
* Помогаю бизнесу запустить проверки гипотез из глины и палок
* Так что если у тебя есть необычная задача или что-то что никто еще не делал - DM @pansy_77
Created
Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 311–313 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 07:45
312
no change
7 Aug 2026, 17:48
312
first reading
Engagement
18 posts held, back to 15 January 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 30 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
94
Videos
8
Links
54
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
27s
Average length
14s
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
293 reactions across 15 posts, in 16 distinct kinds. The most used accounts for 36.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
107
36.5%
❤
103
35.2%
👍
24
8.19%
😁
21
7.17%
🫡
10
3.41%
custom 5206601132805212480
8
2.73%
💅
5
1.71%
🤣
4
1.37%
custom 5217466996337165348
2
0.683%
🌚
2
0.683%
🥰
2
0.683%
💯
1
0.341%
😢
1
0.341%
🤔
1
0.341%
🤨
1
0.341%
🥴
1
0.341%
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 areTelegram’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 15 of the 18 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 293reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 15 January 2026 to 30 June 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
2
across the posts below
Posts paid on
2
of 15 we hold a reading for · 13%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @iratttional_AI. 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 18 most recent posts we hold for this entry, published 15 January 2026 to 30 June 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.
Сегодня вам от сердца отрываю найденный в глубинах тредс…
_______________________________________
Промт для игры в Лила🔮
Небольшая справочка про игру:
Лила - это древняя индийская трансформационная игра самопознания, которой более 2000 лет. Ее главная цель - помочь человеку разобраться в себе, найти ответы на важные жизненные вопросы и осознать свои внутренние блоки, мешающие достижению целей.
Если вы еще никогда …
Какие-то гении изобрели кебаб-банчмарк ❓
https://evaluateai.ai/app/comparisons/0e156620-928b-4a40-bded-84ed556309c5/results/?view=model
Спасибо за внимание
Хороший научрук на вес золота
Мне в этом плане достался алмаз 💎💎💎
С Андреем Андреевичем мы уже восемь лет как разгоняем прикладной аспект алгебр фон Неймана.
Если совсем грубо, алгебры фон Неймана - это такой математический аппарат для работы с операторами и большими матричными конструкциями.
Формально, конечномерная алгебра фон Неймана типа I - это прямая сумма матричных алгебр операторы в которой блочно-диагонал…
Хоп, и разложили за GPU картишки на выходных
Ну что, там в мире творится либо новая революция либо новый пузырь
На этот раз пузырь хардварный - в деле замешаны Майкрософт и Нвидиа, которые анонсировали новый тип памяти NVIDIA RTX Spark 🥺🥺🥺💅💅💅
Не смотря на весь хайп, идея самую малость не нова
RTX Spark включает в себя GPU, CPU, объединённую память, охапку дров и плов готов. Все памяти можно как бы шерить между со…
Кстати, из того как это может помочь бизнесу, обычным смертным, и всем, кто взаимодействует с ИИшкой это как минимум:
1. Докидывание большего обьема инфы в РАГ: изображения, сложные pdf с нечитаемым слоем и табличками и печатями
2. Запуск на консьюмерской карте и локальное использование у себя на сервачке. Все секьюрно, плюс можно бахнуть как довольно хорошую тулу агенту в соотношении качество распознавания/количе…
Как нас снова потеснили китайцы
Была пару тройку недель назад на Ai Conf и узрела там офигенный доклад “Китайский для AI-ресерчера и разработчика”
Занятно, что не так давно мы в RnD исследовали HunyuanOCR - китайскую легковесную (1B) сеточку для OCR.
Результаты оказались, по меньшей мере, прикольные: на английских и русских промптах сетка иногда циклится (последний раз такое я помню в экспериментах с tiny ламой п…
Сегодня нашей небольшой фабрике разработки ИИ-решений Raft 👍 исполняется 4 года 🎉. Это еще не юбилей, но за эти годы мы прошли путь становления компании, поиска первых клиентов на новом для нас рынке, кардинальной смены технологий и запуска продуктовых направлений AudioInsights и HiveTrace.
Поздравляю всю команду с днем рождения компании и благодарю всех клиентов и партнёров, кто работал с нами в эти годы и продолжа…
На правах члена ПК AI Conf презентую вам грядущие доклады и мастер классы коллег из Рафт:
1. Вадим Шубин “Наш путь в Machine Unlearning: От теории к практике”
2. Кирилл Кухарев с мастер-классом «Собираем реал-тайм ИИ-агента для SIP/VoIP за 2 часа — от транка до живого звонка»
3. Андрей Носов “Поймать и обезвредить: 14 Unit-тестов для RAG и решения через Knowledge Graphs”
Сама конфа пройдет 20-го апреля в мск, я с…
❤12👍10🔥8
Showing the 12 most recent of 18 posts we hold for @iratttional_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.
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.
Citation-graph rank
Citation-graph rank — 1,142,266 of 1,480,975entries 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.
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
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Ира в режиме RnD” (@iratttional_AI), 312 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/iratttional_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.