Telegram RegisterThe public register of Telegram

Channel

causality links

@causality_links

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

632subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001421426256
TypeChannel
Username@causality_links
Descriptionpeople say (hope) we're invariant personal channel of @vkurenkov
Created30 October 2020measured — cross-checked against a third-party dataset (TGDataset)
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/causality_links

Growth

6327 Aug 2026, 15:42 — 632 subscribers8 Aug 2026, 02:50 — 632 subscribers7 Aug 2026, 15:428 Aug 2026, 02:50
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 631–633 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 02:50632no change
7 Aug 2026, 15:42632first reading

Engagement

20 posts held, back to 17 July 2024the 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 20 posts for this entry, the most recent from 3 April 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
46
Videos
5
Links
110

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
1m 17s
Average length
39s

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

382 reactions across 20 posts, in 20 distinct kinds. The most used accounts for 35.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
13635.6%
🔥9925.9%
🥰338.64%
🤯266.81%
👍184.71%
😁184.71%
👏133.40%
💯61.57%
😢61.57%
❤‍🔥51.31%
41.05%
🏆41.05%
🍌30.785%
💩20.524%
🙏20.524%
🤮20.524%
🥴20.524%
🌭10.262%
💔10.262%
😱10.262%

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 20 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 382reactions 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 17 July 2024 to 3 April 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.

Recent posts

3 Apr 2026, 14:09 UTC≈3,370 views12 reactionsread 8 August 2026
Forwarded from @airi_research_institutePhoto

Запускаем менторскую программу с исследователями AIRI 💡 Вот уже пять лет мы делимся знаниями в области искусственного интеллекта: представляем результаты исследований на конференциях, проводим лекции и семинары, организуем летнюю школу. В честь юбилея мы запускаем формат менторских встреч. AIRIум — это место, где опыт встречается с любопытством, а свобода мысли — с культурой научного наставничества. Мы собрали руко

🔥5💩2🤮2🥰21

17 Nov 2025, 11:16 UTC≈7,220 views29 reactionsread 8 August 2026
Forwarded from @anti_agiVideo

🤖 В России появилась своя "арена" для оценки моделей управления роботами Её разработали в Институте AIRI. VLA Arena позволяет запускать роботов в виртуальной среде, а также подключать реальные устройства: сейчас поддерживаются компактные манипуляторы LeRobot SO-100 и SO-101 от Hugging Face. Если у пользователя нет робота, он может сравнивать модели в виртуальной среде, а если робот есть — подключить его и проверить

19🔥6❤‍🔥3🥰1

20 Oct 2025, 09:30 UTC≈5,930 views10 reactionsread 8 August 2026
Forwarded from @dunnolab

Открыли набор на практику по направлениям RL / VLA / IL. У нашей группы большой опыт в области RL: имеем публикации на самых топовых конференциях [см. Наши статьи]. Если вы хотите писать научные статьи, сдвигать соты, и развиваться как исследователь в области Reinforcement Learning (RL) и вокруг — то вам к нам! Resident Research Scientist — RL / VLA / IL Вы будете заниматься написанием статей на top-tier конференц

9🥰1

17 Jun 2025, 11:00 UTC≈7,990 views32 reactionsread 8 August 2026
Forwarded from @dunnolabVideo

Сейчас суперактивно развивается сегмент бюджетной домашней робототехники на коленке — LeRobot от HuggingFace. Можно на 3д принтере распечатать детали, за дешево купить приводы и дома на коленке собрать мини-робота. Например, собрать SO-100 в домашних условиях стоит около 20k рублей, крутяк? На прошлых выходных @suessmann поучаствовал в хакатоне от HuggingFace: нужно было сделать демо по использованию таких роботов

25🥰4👍3

12 Jun 2025, 19:32 UTC≈6,910 views16 reactionsread 8 August 2026

продуктивный год получился 🤩 https://t.me/dunnolab/35

🔥10🥰51

11 Jun 2025, 11:10 UTC≈6,190 views12 reactionsread 8 August 2026

https://t.me/complete_ai/684 хорошая коллаба получилась, затащили рль для реверс инжиниринга деталей, топ работа как обычно от @adagrad @suessmann и @Howuhh

🔥82🥰2

6 Jun 2025, 09:58 UTC≈3,950 views20 reactionsread 8 August 2026
Forwarded from @airi_research_institutePhoto

Новый шаг в управлении роботами и оптимизации индустриальных процессов 🤖 Исследователи AIRI разработали Vintix — SOTA action-модель для роботов и индустриальных процессов, умеющую имитировать ход обучения с подкреплением. Благодаря этому Vintix самостоятельно корректирует и улучшает свои действия, получая минимальную обратную связь от пользователя. Техническая реализация Vintix опирается на расширенный контекст тра

🔥84👏3🥴2🥰1😁1😱1

5 May 2025, 17:31 UTC≈5,420 views11 reactionsread 8 August 2026

чуть подробнее написали, что ожидается от рисерч пропозала примером делился до этого в комментариях, но вдруг кто не видел, то вот https://t.me/airi_research_institute/870

6🥰3❤‍🔥2

7 Apr 2025, 18:27 UTC≈9,170 views18 reactionsread 8 August 2026

в этом году буду курировать направления по Reinforcement Learning и World Models, залетайте, контент будет хороший 🙂 https://t.me/airi_research_institute/825

16🥰2

26 Mar 2025, 00:24 UTC≈6,660 views19 reactionsread 8 August 2026

совсем забыл рассказать, в этом году успешно продолжили поддерживать студентов УИ через стипендию 1519 в этот раз получилось раздать 30 стипендий (в прошлом году было 17!) маленькая победа, ура 🙂

133🥰3

20 Mar 2025, 15:06 UTC≈6,050 views10 reactionsread 8 August 2026
Forwarded from @rllinks

Самое время подвести итоги сабмитов на ICLR 2025. Не все успели довести до фулл статей, но и воркшопы тоже хорошо! Что-то уже есть на архиве (и еще будет обновлятся с новыми результатами), так что делюсь: 1. XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning (Main, Poster), by @howuhh and @suessmann and @zzmtsvv 2. Latent Action Learning Requires Supervision in the Presence of Distrac

🔥10

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

Forward network

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

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.

“causality links” (@causality_links), 632 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/causality_links.

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.