Channel
@finitely_presented
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
156subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001589900595 |
|---|---|
| Type | Channel |
| Username | @finitely_presented |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/finitely_presented |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 18:30 | 156 | no change |
| 6 Aug 2026, 23:16 | 156 | first reading |
17 posts held, back to 22 August 2024 — 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 17 posts for this entry, the most recent from 3 December 2025. An engagement rate over an empty window would be a number about nothing.
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.
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.
135 reactions across 14 posts, in 12 distinct kinds. The most used accounts for 43.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 59 | 43.7% | |
| ❤ | 30 | 22.2% | |
| 👍 | 11 | 8.15% | |
| ❤🔥 | 10 | 7.41% | |
| ⚡ | 7 | 5.19% | |
| 🤩 | 6 | 4.44% | |
| 🤯 | 5 | 3.70% | |
| 😍 | 2 | 1.48% | |
| 🤔 | 2 | 1.48% | |
| 🌚 | 1 | 0.741% | |
| 😢 | 1 | 0.741% | |
| 🤣 | 1 | 0.741% |
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 14 of the 17 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 135reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 22 August 2024 to 3 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Декабрь у меня выдается очень насыщенным: 1–2 декабря я был на TAG-DS, сейчас до 7 числа я на NeurIPS, а с 9 по 13 буду на Learning on Graphs Conference. TAG-DS, конечно, гораздо более камерный по сравнению с монструозным Нипсом (в этом году число участников вплотную приблизилось к 30к: львиная доля, конечно, в Сан-Диего, но есть еще и Мехико). Я был очень рад познакомиться вживую с людьми, с которыми был либо знако…
🔥9⚡4
Вышли ревью на ICLR 2026, и в комментах начался сущий кошмар https://openreview.net/forum?id=wktBQXOtQS¬eId=r2XiHtQZaX upd: уже удалили
Совсем забываю сюда писать - уж как-то слишком много дел, и на все времени не хватает. Тем более на свой канал. К тому же, я так и не придумал, как мне его позиционировать - мне сюда просто писать свои мысли о чем угодно, кидать мемы, какие-то фотки, или же писать только что-то около-машиннообучательское/"математическое"? Пока я еще не решил, но все же повод для поста нашелся: завтра я снова лечу в Босваш, но не в П…
❤🔥10👍3🤯2⚡1🔥1
С 17 по 21 марта я буду участвовать в воркшопе «Matroids, Rigidity, and Algebraic Statistics», который пройдет в ICERM! Institute for Computational and Experimental Research in Mathematics — это институт, специализирующийся на вычислительной и экспериментальной математике, финансируемый NSF и базирующийся в Брауновском университете. Он организует воркшопы, семестровые и годовые программы по самым разным областям — о…
🤩6👍4
Открыта регистрация на LOGML 2025! 🎉 London Geometry and Machine Learning Summer School — это ежегодная школа по геометрии в ML, где участники не только слушают лекции топовых спикеров, но и работают над проектами, которые часто перерастают в коллаборации и публикации. За неделю работы участники погружаются в исследовательские проекты, а также слушают лекции от ведущих ученых (в этом году почти все из академии, но …
❤6
Photo, posted without a caption
🤯2
В Москве уже 2 часа ночи. Но что же может быть лучше, чем сон? Конечно же 8 тестовый запуск ракеты Starship, который произойдет через полчаса! 🚀🔥 Трансляция будет прямо на сайте SpaceX, вот тут! (На фото: последствия последнего запуска, случившегося прямо в мой первый день пребывания тут)
🔥6
Братик с соавторами опубликовали мощнейший разбор того, как пучки проникают в машинное обучение! Нейронные пучки, гетерофильные графы и даже оригами - все есть! 🔥
⚡2❤2😍2
Claude 3.7? Open AI? Редкоземельный литий? А может быть лучше..117 страничный обзор на приложения нейро-пучков? 🟣 В работе Sheaf theory: from deep geometry to deep learning представлен обзор на пучки (sheaf), начиная с описания математического аппарата, заканчивая приложениями в логике, лингвистике, дизайну алгоритмов, и в анализе данных, особенно для проектирования нейронных сетей. Topology-fan or ML-enjoyer? Мет…
🔥3❤2👍2
А действительно ли есть полезные применения пучков? Зависит от того, что мы понимаем под полезными. Обзор содержит широкое описание приложений в разных областях, в частности для интуиционистской логике, лямбда-исчисления, вычислительной линвистики, для теории ТДА итд. Но здесь я сфокусируюсь на примерах из ML/DS. Одним из первых применять пучки к обработке данных предложил Роберт Грист (советую его топовое введение…
🔥5👍2🤔2
📌 Я снова здесь! Прошло много времени с последнего поста. За это время я дождался визы и оказался в США. Теперь хочется снова делиться мыслями, открытиями и, возможно, даже хаотичными размышлениями. Канал по-прежнему про математику, машинное обучение, топологию и жизнь. Возможно, местами больше жизни, чем математики. Или наоборот. Как получится в общем 😏
🔥19
Channel name was changed to «finitely presented»
Showing the 12 most recent of 17 posts we hold for @finitely_presented. 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 — 1,129,764 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.
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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“finitely presented” (@finitely_presented), 156 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/finitely_presented.
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.