Telegram RegisterThe public register of Telegram

Channel

Мишин Лернинг

@mishin_learning

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

7,489subscribers

-13 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001296995669
TypeChannel
Username@mishin_learning
DescriptionСубъективный канал об искусстве машинного обучения, нейронных сетях и новостях из мира искусственного интеллекта. 🇺🇦❤️
Created16 November 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/mishin_learning

Growth

7,4897,5027,495.56 August 2026 — 7,502 subscribers6 August 2026 — 7,502 subscribers9 August 2026 — 7,491 subscribers12 August 2026 — 7,489 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net -13. 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 7,487–7,504 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:167,489-2
9 Aug 2026, 15:147,491-11
6 Aug 2026, 10:197,502no change
6 Aug 2026, 09:537,502first reading

Engagement

23 posts held, back to 21 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.5%
avg views ÷ 7,489 subscribers
Avg views / post
2,130
10 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
10
of 23 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held23 (21 April 202611 August 2026)
Views total21,330
Reactions total236
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:25 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.

What this channel posts

Photos
1,220
Videos
153
Links
673

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
42s
Average length
42s

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.

Reaction mix

712 reactions across 23 posts, in 22 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁23733.3%
15722.1%
🔥10514.7%
🤯395.48%
👍344.78%
🤔304.21%
💯223.09%
💊152.11%
🫡152.11%
👎121.69%
🤬91.26%
💅70.983%
👏60.843%
🎉50.702%
🥴50.702%
😱40.562%
🆒20.281%
🙏20.281%
🥰20.281%
🦄20.281%
2 further kinds20.281%

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 23 of the 23 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 712reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 21 April 2026 to 11 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.

Telegram Stars

Stars received
4
across the posts below
Posts paid on
3
of 23 we hold a reading for · 13%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mishin_learning. 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 23 most recent posts we hold for this entry, published 21 April 2026 to 11 August 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.

Recent posts

11 Aug 2026, 00:27 UTC≈1,530 views28 reactionsread 12 August 2026

🧮 Claude улучшил известную нижнюю оценку доли нулей дзета-функции Римана на критической прямой: с 41,6% до 67,2%. Саму гипотезу Римана Claude, разумеется, не доказал Идея такая: объединить результаты Baluyot–Goldston–Suriajaya–Turnage-Butterbaugh с техникой Bombieri и рассматривать пространство функций с квадратичной формой Вейля, одновременно учитывая положительно- и отрицательно-определённые подпространства, соот

🤯14🔥73🥴2🎉1🏆1

9 Aug 2026, 17:31 UTC≈2,120 views24 reactionsread 12 August 2026
Photo

🤝 Альтман подтвердил, что OpenAI планирует сделать Astra общедоступной, а вероятная дата релиза — 10 сентября Глава OpenAI Сэм Альтман заявил, что компания работает над тем, чтобы сделать модель Astra общедоступной. По его словам, OpenAI не считает хорошей стратегией сохранять наиболее мощные модели доступными только «избранным». Я попросил Claude Fable Max и GPT-5.6 Sol Ultra определить самую вероятную дату релиза

🔥13👍53🦄2🤔1

9 Aug 2026, 12:30 UTC≈1,260 views48 reactions2 Starsread 12 August 2026
Forwarded from @denissexy

Помните историю о том, как агенты OpenAI взломали Hugging Face? На конференции по безопасности OpenAI рассказала всю цепочку, и оказалось, что это не один «сбежавший» агент, а много разных агентов, которые случайно наткнулись друг на друга, устроили внутри инфраструктуры OpenAI собственный рабочий чат и начали вместе искать способы обходить ограничения 👍 Началось всё 8 мая с мелкой ошибки – одному агенту поручили за

23🤯14😁4👍3🔥2🤔2

8 Aug 2026, 13:58 UTC≈1,760 views18 reactions1 Starread 12 August 2026

AI новости за день 🇨🇳 Китайский Kimi K3 тоже вышла за пределы sandbox TL;DR: Kитайский open-weight агент сам обнаружил дыру в тестовой среде и воспользовался интернетом, чтобы выполнить задачу. Во время тестирования Kimi K3 нашла ошибку изоляции, получила доступ к интернету и начала искать информацию на GitHub. Модель сама обнаружила возможность выйти наружу и использовала её ради достижения цели. Особенно инте

12😁3🤔2🔥1

7 Aug 2026, 21:34 UTC≈2,170 views32 reactionsread 12 August 2026

✨ Новая GPT Astra оказалась слишком хороша. Из-за этого OpenAI задерживает релиз новой модели. Что произошло? OpenAI сегодня неожиданно объявила, что последние тесты Astra показали настолько сильный рост в программировании и кибербезопасности, что компания больше не может исключать достижение моделью уровня Critical по собственному Preparedness Framework. Решение, по словам OpenAI, было принято буквально этой ночь

11😁10🤯6🥴3😱2

5 Aug 2026, 18:57 UTC≈2,400 views18 reactionsread 12 August 2026
Photo

Демис Хассабис отходит от управления DeepMind. Это повышение или признак проблем в Google? Хассабис станет главным учёным Alphabet и сосредоточится на AGI, фундаментальных исследованиях и Isomorphic Labs. Руководство DeepMind и развитие Gemini перейдут к Кораю Кавукчуоглу. Почему сейчас? Хассабис говорит, что AGI уже «близко», поэтому хочет тратить меньше времени на менеджмент и больше — на науку. Значит в DeepMi

🤔122👍2👏1😁1

5 Aug 2026, 14:10 UTC≈2,250 views18 reactionsread 12 August 2026

Белый дом обсудил контроль над frontier-моделями. Тем временем OpenAI рассказала еще о двух «недопобегах», а Илья Суцкевер готовит конкурента OpenAI GPT и Anthropic Claude. 4 августа OpenAI, Anthropic, Google, Meta и Nvidia собрались в Белом доме, чтобы обсудить, как государство будет проверять самые мощные AI-модели перед релизом. Результат получился неоднозначным. Закрытые frontier-модели смогут добровольно прохо

10🔥3😱2🙏2🫡1

4 Aug 2026, 14:52 UTC≈2,370 views16 reactionsread 12 August 2026

США пытаются сохранить преимущество через лучшие закрытые модели, облачную инфраструктуру и государственную проверку. Китай превращает почти-frontier интеллект в дешёвый и модифицируемый промышленный ресурс — но может оставить самое сильное поколение закрытым. 📝 TL;DR: Белый дом пытается определить, как проверять будущие frontier-модели до их выхода. Главный риск уже не во все более правильных ответах ИИ, а в ав

14🆒2

4 Aug 2026, 14:52 UTC≈2,200 views11 reactionsread 12 August 2026

🤖 В Белом доме сегодня формируют правила, которые определят запуск OpenAI Astra и следующих frontier-моделей Пока идут споры о том, чья модель первой станет «сверхразумной», Вашингтон занялся более практическим вопросом: что делать с системой, которая может искать уязвимости, писать код и самостоятельно продолжать работу дольше, чем её успевает контролировать человек. Сегодня представители OpenAI, Anthropic, Googl

8🤔3

24 Jul 2026, 17:36 UTC≈3,270 views23 reactionsread 12 August 2026
Photo

🤝 Claude Opus 5: что показывают цифры Anthropic выпустила Opus 5 по цене Opus 4.8: $5 за миллион входных и $25 за миллион выходных токенов. В API — контекст до 1 млн токенов и генерация до 128 тысяч. Это вдвое дешевле Fable 5. Ключевые результаты: — Frontier-Bench: 43,3% против 34,4% у GPT-5.6 Sol — GDPval-AA: 1861, лучший результат — ARC-AGI-3: 30,2% против 7,8% у GPT — BrowseComp: 90,8% — OSWorld 2.0: 70,6% — Au

17👎2🔥2👍1😁1

9 Jul 2026, 22:52 UTC≈4,090 views31 reactionsread 12 August 2026

⚠️ OpenAI выкатили собственный гайд по GPT-5.6, главное: ваши старые длинные промпты сделают только хуже Основные поинты: — Миграция ≠ заменить model name. Модель стала куда более токен-эффективной, так что старые системные промпты могут быть не просто оверкиллом, а сделать только хуже! — Если нужно объяснение, то не стоит писать “be concise”. GPT-5.6 и так любит сжимать. — Минимальные системные промпты. Меньше с

🔥215👍3🌚1👎1

9 Jul 2026, 17:16 UTC≈3,620 views9 reactionsread 12 August 2026

🏆 OpenAI выкатили GPT-5.6 Доступ будет в течение суток Трансляция доступна только по ссылке 🔗

9

Showing the 12 most recent of 23 posts we hold for @mishin_learning. 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 — 225,023 of 1,160,990entries 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 2 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.

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

“Мишин Лернинг” (@mishin_learning), 7,489 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/mishin_learning.

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.