Там в Google (простите, Alphabet) перестановки. Jeff Dean ушел (вы же знаете, чем он знамент? Знаете же?) А еще Демис Хассабис (глава DeepMind) уходит со своего поста. Увидел твит на эту тему, делюсь :)
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Channel
@rads_ai
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,848subscribers
+140 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002731129894 |
|---|---|
| Type | Channel |
| Username | @rads_ai |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/rads_ai |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 06:35 | 2,848 | +140 |
| 6 Aug 2026, 22:58 | 2,708 | no change |
| 6 Aug 2026, 15:50 | 2,708 | first reading |
13 posts held, back to 27 June 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 2 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 13 (27 June 2026 – 6 August 2026) |
| Views total | 23,940 |
| Reactions total | 270 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:13 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.
396 reactions across 13 posts, in 15 distinct kinds. The most used accounts for 34.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 137 | 34.6% | |
| ❤ | 126 | 31.8% | |
| 👍 | 41 | 10.4% | |
| 😁 | 39 | 9.85% | |
| ❤🔥 | 11 | 2.78% | |
| 🤯 | 11 | 2.78% | |
| 👏 | 10 | 2.53% | |
| ⚡ | 5 | 1.26% | |
| 👀 | 4 | 1.01% | |
| 💩 | 4 | 1.01% | |
| 🤡 | 3 | 0.758% | |
| ✍ | 2 | 0.505% | |
| 💘 | 1 | 0.253% | |
| 🤮 | 1 | 0.253% | |
| 🥰 | 1 | 0.253% |
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 13 of the 13 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 396reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 27 June 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.
Там в Google (простите, Alphabet) перестановки. Jeff Dean ушел (вы же знаете, чем он знамент? Знаете же?) А еще Демис Хассабис (глава DeepMind) уходит со своего поста. Увидел твит на эту тему, делюсь :)
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И еще одна мысль, которая не давала мне покоя. Мы как-то с коллегами-товарищами обсуждали интересные вещи, которые выходят за рамки наших профессиональных задач и областей. Так что вот вам пост на тему..музыки :) Многие из вас знакомы с жанром синтвейв (synthwave). У кого-то с большой вероятностью первой ассоциацией будет Kavinski – Nightcall. Или Timecop, или еще кто-то. Вайбы Vice City, Майями, проводных телефон…
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Полгода назад уже проходил ML Global Recap. Формат оказался отличным, и мы с коллегами решили его повторить. 13 августа пройдет вторая итерация, где мы обсудим итоги ICML и других международных конференций, а спикеры поделятся своими наблюдениями и выводами. И нетворкинг, конечно. Выжимка из программы: ⚪️ Иван Дёгтев, руководитель аналитики Alice AI LLM в Яндекс R&D. Обсудит новые способы и стандарты оценки качест…
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Подводочка: вчера был очень странный, но интересный, опыт выступления на Урбан ML. Собрались с классными ребятами: Никитой (он вот тут рассказывает про митап), Олегом и Иваном (ребята, если есть каналы – пишите) и рассказывали странные истории в формате ЧБД. Честно говоря, до субботы понятия не имел, что это за шоу. Посмотрел... Ссылку прикладывать не буду. Но все вроде хорошо прошло. Ставлю 10 вопросов про RecSys из…
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Классный курс от моего коллеги-преподавателя, предпринимателя и хорошего товарища. Преврати пет-проект в микро-SaaS с первой выручкой за 3 месяца Название несколько кликбейтное, но работает же :) Дисклеймер: Я не люблю публиковать информацию о платных мероприятиях или материалах за пейволлом, но иногда делаю исключения. Хорошая работа должна быть хорошо оценена, а тут курс про то, как деньги зарабатывать, – вполне …
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Тут сегодня Ваня рассказывает про механизмы биометрической идентификации (той самой, которая в айфонах смотрит на ваше лицо, как и в некоторых телефонах с android). Он сам когда-то пилил механизм распознавания радужки глаза для Samsung, когда-то там был такой сканер) Может быть полезно, точно будет интересно. Заглядывайте :)
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Обычно Катя всех показывает, а сегодня показывают её) Ну и классных ребят, которые выступали аж на ICML :)
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Сегодня прямо день, когда хочется делиться. Павел выложил свой открытый курс по агентам (и Cursor в частности). Пока посмотрел только программу, адекватная, покрывает почти все темы, про которые я бы рассказывал. Ну и с учетом опыта автора, думаю, отличный курс. P.s. Серьезно, не реклама, увидел, делюсь. Уважение людям, которые пилят открытое, доступное всем образование.
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Тут через пару часов Влад про Large-Scale обучение LLM'ок и не только будет рассказывать, кому интересно – подключайтесь!
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Оффтоп: обновляю сейчас слайды для выступления. Попросил модельку переписать промпт для иллюстрации (на иллюстрации чайник). Цитата: Mood: "it boiled water and thinks it's intelligent." Нравятся мне современные модели. P.s. Выше как раз сгенерированная картинка
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Если вам хочется порешать алгоритмические задачки и в целом попрактиковаться в программировании (в такую погоду-то ну, чем еще заниматься) – у Яндекса сейчас проходит CodeRun Summer Challenge. Задачи разного уровня сложности, 11 языков. По слухам, похожи на задачи с собеседований (кто сказал консультация по общефизу👀?) Ну и приятные мелочи предлагают: мерч, LEGO (санкционочка), пробные интервью. До 17 июля 14:00 о…
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На Физтехе сегодня вручают дипломы нашим чудесным выпускникам. А коллеги по академическому цеху, тем временем, проводят опрос среди не менее замечательных студентов. Если вы все еще учитесь (если только что выпустились – все еще актуально) – приглашаю вас заполнить форму. Имена и личные данные не собирают (только ВУЗ, курс, опционально факультет). Если поделятся статистикой – опубликую здесь. И всем хороших выход…
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Showing the 12 most recent of 13 posts we hold for @rads_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.
Citation-graph rank — 1,519 of 1,151,006entries 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.
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 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Rad’s ai” (@rads_ai), 2,848 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/rads_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.