Telegram RegisterThe public register of Telegram

Channel

Grounding Knowledge 🦾

@ai_panov

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

1,038subscribers

+5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001836329192
TypeChannel
Username@ai_panov
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/ai_panov

Growth

1,0331,0381,035.56 August 2026 — 1,033 subscribers7 August 2026 — 1,034 subscribers10 August 2026 — 1,035 subscribers13 August 2026 — 1,038 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +5. 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 1,032–1,039 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 07:141,038+3
10 Aug 2026, 16:371,035+1
7 Aug 2026, 11:531,034+1
6 Aug 2026, 14:341,033first reading

Engagement

14 posts held, back to 17 June 2026the 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.

ERR · 30 days
42.1%
avg views ÷ 1,038 subscribers
Avg views / post
437
7 posts measured
Reaction rate
2.27%
reactions ÷ views · ER floor
Posts in window
7
of 14 held

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. It is computed over the 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 August 2026
Posts held14 (17 June 20263 August 2026)
Views total3,061
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 14:34 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.

Reaction mix

94 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 39.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3739.4%
3537.2%
👍1111.7%
💔99.57%
👎22.13%

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 11 of the 14 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 94reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 17 June 2026 to 3 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.

Recent posts

3 Aug 2026, 07:20 UTC123 views7 reactionsread 6 August 2026
Forwarded from @airi_research_institutePhoto

Трансляции лекций «Лето с AIRI 2026» Наша летняя школа по искусственному интеллекту близится к завершению. Делимся записями трансляций потоковых лекций⤵️ ⏯«Тренды в развитии ИИ и исследования AIRI» Иван Оселедец, д.ф.-м.н., профессор РАН, генеральный директор Института AIRI, декан факультета искусственного интеллекта МГУ ⏯«Обучаемая манипуляция объектами: от RL к VLA моделям» Александр Панов, д.ф.-м.н., профессор

🔥5👍2

31 Jul 2026, 16:52 UTC317 views21 reactionsread 6 August 2026
Photo

Прочитал сегодня лекцию на нашей школе по ИИ, робототехнике, агентам и вообщем всем самым передовым темам - Лето с AIRI. Участвую в наших школах с самого их появления, когда они проходили еще вместе со школой РАИИ и с каждым годом уровень организации, содержания и продуманности растет💪 Команда оргов большие молодцы. В этом году все проходит под Краснодаром, в Усть-Лабинске, где построили целый оазис античности👏 Лицей

🔥192

28 Jul 2026, 13:59 UTC504 views9 reactionsread 6 August 2026

#NeurIPS2026 Интересное наблюдение - из 10 статей только 5 отправили вменяемые ответы рецензентам. Остальные либо вообще сняли работу (withdraw), либо никаких ответов из-за низких оценок не стали напрягаться придумывать. Так что количество активных и потенциально принимаемых работ резко сократилось. Посмотрим теперь как будут вовлекаться в дискуссию рецензенты. Как подсказывает опыт, идет это очень тяжело😢

💔9

27 Jul 2026, 15:02 UTC420 viewsread 6 August 2026

Очень жаль, что не смог впервые за 6 лет принять участие в Летней школе РАИИ. Тем более, что по фото там было очень атмосферно🌄

27 Jul 2026, 15:02 UTC491 views3 reactionsread 6 August 2026
Forwarded from @raai_officialPhoto

✅C 13 по 24 августа на базе отдыха Таймази (Северная Осетия-Алания), на высоте 2 000 м над уровнем моря успешно прошла 11-ая Летняя школа РАИИ. 🌎 В этом году участниками Летней школы стали 60 молодых исследователей из 18 учебных заведений России. 🎓 За 10 рабочих дней было проведено 18 лекций от ведущих отечественных исследователей в ИИ, 4 мастер-класса. 🧑‍🎓 Одним из важнейших направлений работы Летней школы стал п

3

27 Jul 2026, 06:07 UTC501 views13 reactionsread 6 August 2026
Photo

#AAAI2027 Еще идет активная битва дискуссия с рецензентами на #NeurIPS2026, а уже начался цикл на другую топовую конференции по ИИ - AAAI 2027, которая традиционно открывает календарный научный год. На прошлой неделе был дедлайн по подаче абстрактов статей. У одной из наших работ номер 500ХХ, а это значит, что побит очередной рекорд и преодолена планка в 50К отправок на конференцию по ИИ🤯. Агенты делают свое дело, ус

13

16 Jul 2026, 13:26 UTC705 views7 reactionsread 6 August 2026
Photo

#NeurIPS2026 Завершил написание мета-ревью для своего пула из 10 статей. На самом деле это хорошее нововведение - авторам будет доступен этот текст и он реально сможет им помочь сконцентрироваться на том, что нужно сделать во время rebuttal фазы в дискуссии с рецензентами. Нужно было обобщить по тексту самой статьи и рецензиям о чем сама статья, какие сильные и слабые стороны и предложить авторам конкретные действия

👍4👎2🔥1

13 Jul 2026, 05:24 UTC639 views12 reactionsread 6 August 2026
Forwarded from @cogmodelPhoto

💫Сотрудники и студенты из команды ЦКМ и Института AIRI на ICML 2026! На этой неделе в Сеуле прошла ICML 2026 — одна из сильнейших мировых конференций в области машинного обучения (категория А*). KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning — бенчмарк для быстрой и прозрачной оценки того, как алгоритмы обучения с подкреплением обобщают визуальные признаки по заданным осям (

10👍2

6 Jul 2026, 13:01 UTC632 views10 reactionsread 6 August 2026
Forwarded from @l_BaseLine_lPhoto

Всем привет! Сейчас в Южной Корее проходит одна из топовых конференций по ИИ – ICML 2026. На ней мы представляем одну работу на мейн треке и две на воркшопах. 🚀 KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning 🗓️Main track, Jul 7, 2:00 – 3:45, HALL A #4409 🚀 (Oral!) Don’t Blind Your VLA: Aligning Visual Representations for OOD Generalization 🗓️SCALE Workshop – Jul 10, Ballroo

🔥72👍1

6 Jul 2026, 06:38 UTC574 views7 reactionsread 6 August 2026
Forwarded from @l_BaseLine_lVideo

Всем привет! Выложили нашу работу “Does VLA Even Know the Basics?” в Daily Papers на Hugging Face 🤗 В статье мы задаёмся простым, но пока почти не изученным вопросом: есть ли в VLA-моделях commonsense знания о мире? 📚 ⚡️Мы предлагаем Act2Answer: бенчмарк, где VLA модель отвечает на вопросы не текстом, а действием - кладёт куб на правильный вариант. Проверили 7 VLA и 9 VLM моделей на 12 категориях. 💡Интересные инс

5👍2

29 Jun 2026, 10:07 UTC724 viewsread 6 August 2026
Photo

#NeurIPS2026 На прошлой неделе закончился основной этпа рецензирования - пришли начальные рецензии. Здесь все строго - на каждую статью ровно 3 рецензента, достаточно строгие правила по задержкам, поэтому на данный момент из моего пула в 10 статей только у одной статьи не хватает одной рецензии - у остальных все рецензии пришли💪. Все они довольно однородные - небольшого размера, заметных артефактов генерации не видно

22 Jun 2026, 09:55 UTC621 views2 reactionsread 6 August 2026
Forwarded from @cogmodelPhoto

🎓 — Семинар 21. Защита магистерских диссертаций выпускников ЦКМ 2026 Ещё одна группа морских котиков ИИ готова к финальной миссии своего обучения — защите магистерской работы🏆 За два года мы постарались передать студентам самые актуальные и прикладные знания в области ИИ и робототехники, а ребята достигли больших успехов. Приглашаем всех присоединиться и послушать выступления! 📹 Трансляция ВК #семинары #магистрат

🔥2

Showing the 12 most recent of 14 posts we hold for @ai_panov. 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

Citation-graph rank — 250,441 of 1,350,102entries 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

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 4 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.

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Grounding Knowledge 🦾” (@ai_panov), 1,038 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/ai_panov.

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.