Telegram RegisterThe public register of Telegram

Channel

Solntsev Sharing AI

@ksolntsevAI

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

211subscribers

+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-1002018332118
TypeChannel
Username@ksolntsevAI
DescriptionДелюсь интересным и актуальным из мира искусственного интеллекта. Агрегатор новостей из 50+ каналов про AI / Sharing AI news that I find interesting or important. Just sharing. Form your own insights. Curated content from other 50+ sources. @ksolntsev
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held2
On Telegramt.me/ksolntsevAI

Growth

2117 Aug 2026, 03:00 — 211 subscribers7 Aug 2026, 03:33 — 211 subscribers7 Aug 2026, 03:007 Aug 2026, 03:33
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 210–212 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 03:33211no change
7 Aug 2026, 03:00211first reading

Engagement

18 posts held, back to 2 August 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
12.7%
avg views ÷ 211 subscribers
Avg views / post
26.9
18 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
18
of 18 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 6 August 2026
Posts held18 (2 August 20266 August 2026)
Views total484
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 03:33 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
1,010
Videos
239
Links
1,070

Lifetime counters from Telegram’s own channel header, read 7 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.

Recent posts

6 Aug 2026, 15:23 UTC12 viewsread 7 August 2026
Forwarded from @kulibinaiVideo

А ещё мы сняли ролик для популяризации CADENA

6 Aug 2026, 15:23 UTC14 viewsread 7 August 2026
Forwarded from @Ivan_OseledetsVideo

Команда Антона Конушина и лаборатория Fusion Brain вместе с ребятами Сергея Маркова и Игоря Пасечника из SberAI опубликовали крутое обновление в нашей линейке моделей для реверс-инжиниринга! CADENA: Stepwise CAD Reverse Engineering Перешли на пошаговое предсказание — модель стала гибче, качество выросло, и чем сложнее датасет, тем больше отрыв. Плюс собрали CADENA-Bench: 3396 реальных механических деталей, разбиты

6 Aug 2026, 09:07 UTC21 viewsread 7 August 2026
Forwarded from @antidigital

ИИ помогает Pringles сделать каждый чипс одинаково хрустящим Kellanova, владелец бренда Pringles, вложила $4–5 млн в систему, которая должна приблизить производство Pringles к идеалу: без сломанного теста, прилипших к фритюру чипсов и отклонений по форме. Цель — чтобы каждый чипс в банке был одинаково тонким, хрустящим и золотистым. Для этого компания вместе с Siemens построила цифровой двойник теста на линии завод

6 Aug 2026, 05:55 UTC27 viewsread 7 August 2026
Forwarded from @blockchainRF

Офигеть, что будет с Google? Джефф Дин ушел, а Дэмис Хассабис ушел из операционки DeepMind Ранее мы писали о том, что стратегия меняется и массовый исход топовых сотрудников произошел. После почти 27 лет в Google легенда Джефф Дин покидает компанию вместе с Sanjay Ghemawat - друг Дина, также уходит VP по исследованиям в DeepMind, один из ключевых людей по Gemini Oriol Vinyals и Quoc Le - сооснователь Google Brain,

6 Aug 2026, 05:54 UTC25 viewsread 7 August 2026
Forwarded from @moskvichmagPhoto

В «СберСити» запускают тестирование робособак-патрулей Будущее заходит в Москву с запада и на четырех лапах: в «СберСити» разворачивают испытания роботизированного патруля, которому доверят следить за порядком в районе. Это не то чтобы робокоп, но уже близко — робопес. Как рассказывают в компании, поначалу железный четвероногий будет следить за территорией речного парка. Робособака умеет обходить препятствия, работ

5 Aug 2026, 15:29 UTC21 viewsread 7 August 2026
Forwarded from @expertosphereFile

GenAI и рынок труда: что 40 миллионов вакансий говорят о трансформации спроса на труд? (27 июля 2026) от Сбер (ЦМИ)

5 Aug 2026, 08:21 UTC29 viewsread 7 August 2026
Forwarded from @gen_i_iPhoto

⚔️ ИИ vs ИИ. 40 минут до недопустимого события или на что уже способны ИИ-хакеры Недавно мы в Positive Technologies провели эксперимент: на изолированном киберполигоне Standoff четыре атакующих ИИ-агента столкнули с автономной системой расследования и реагирования MaxPatrol O2. Полигон имитировал инфраструктуру компании: внешний контур, Active Directory, серверы приложений, рабочие станции и промышленный сегмент со

4 Aug 2026, 10:06 UTC37 viewsread 7 August 2026
Forwarded from @lobushkinPhoto

Книги, написанные людьми — новый люкс. У Financial Times вышел материал о том, как стремительное развитие ИИ меняет процессы заказа, редактирования и авторства в издательской индустрии. К слову, её объём оценивается в 140 миллиардов долларов. Оказалось, что одной из главных проблем стало несанкционированное использование защищённых авторским правом материалов компаниями, разрабатывающими ИИ. Например, Anthropic нел

4 Aug 2026, 06:53 UTC28 viewsread 7 August 2026
Forwarded from @gen_i_iPhoto

Без модели угроз и контроля ИИ-агент - это мартышка с гранатой 🙈 2025 и 2026 год проходят под эгидой безопасного ИИ. Банк России, Сбер, Яндекс и Swordfish предложили свои подходы и практики к защите ИИ. На днях Сбер обновил модель угроз безопасности искусственного интеллекта. Почти 100 страниц, которые я бы рекомендовал прочитать не только специалистам по ИБ, но и всем, кто проектирует корпоративных ИИ-агентов. В

3 Aug 2026, 16:25 UTC34 viewsread 7 August 2026
Forwarded from @blockchainRF

Y Combinator назвал темы, которые им интересны Главная тема - physical AI. YC хочет у себя в новом батче видеть стартапы вот в таких направлениях: 1. ИИ-тьютор, который станет не заменой учителю, а его дополнением. Долгосрочная цель - что-то вроде персонального ИИ-наставника на всю жизнь. 2. Технологии для армии: дешёвые перехватчики, сенсоры, дроны, логистика, продвинутое производство. Фокус на модульных открыты

Showing the 12 most recent of 18 posts we hold for @ksolntsevAI. 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 — 418,800 of 1,478,351entries 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 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.

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

“Solntsev Sharing AI” (@ksolntsevAI), 211 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/ksolntsevAI.

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.