Telegram RegisterThe public register of Telegram

Channel

местный датасасер ☮️

@datasas

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

1,845subscribers

-2 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-1001477205200
TypeChannel
Username@datasas
Created26 June 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/datasas

Growth

1,8451,8471,8466 August 2026 — 1,847 subscribers6 August 2026 — 1,847 subscribers10 August 2026 — 1,845 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net -2. 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 1,845–1,847 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 13:141,845-2
6 Aug 2026, 17:161,847no change
6 Aug 2026, 17:001,847first reading

Engagement

19 posts held, back to 29 September 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
22.2%
avg views ÷ 1,845 subscribers
Avg views / post
409
5 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 19 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 30 July 2026
Posts held19 (29 September 202530 July 2026)
Views total2,047
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 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

Video runtime
1m 40s
Average length
50s

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.

Recent posts

24 Jul 2026, 17:13 UTC428 viewsread 7 August 2026
Forwarded from @seeallochnayaPhoto

Вышел Opus 5, уже доступен в Claude Code и на сайте. Модель во многом... лучше Fable 5 😎 Даже на Frontier-Bench, про который я писал сегодня — уже +9%. В общем выглядит как новая рабочая лошадка, постараюсь погонять в ближайший месяц и в хвост и в гриву. Цена та же, Fast-режим тоже есть. Карточка модели

22 Jul 2026, 15:14 UTC278 viewsread 7 August 2026
Forwarded from @seeallochnayaPhoto

Два дня назад я писал, что часть инфраструктуры HuggingFace подверглась атаке и была частично взломана ИИ-агентом. Только что OpenAI признались, что... это была их модель, GPT-5.6-Sol и другая более сильная неназванная LLM. Их тестировали на ExploitGym (бенчмарк по кибербезопасности), и модель сначала смогла найти новый, до этого неизвестный эксплойт в инфраструктуре OpenAI (это не было её задачей, её не натравили «

14 Jul 2026, 13:29 UTC546 viewsread 7 August 2026
Forwarded from @alwebbci

New from Google: LLMs Need Sleep and Dreaming. Researchers introduced a phase, where the model consolidates its fragile short-term memories into stable long-term memories, and then dreams to recursively self-improve over time. For memory consolidation, researchers introduced a new form of distillation, called Knowledge Seeding (KS), where a small model(s) distills its knowledge to a larger model. Experiments on co

7 Jul 2026, 08:21 UTC629 viewsread 7 August 2026
Forwarded from @data_secretsPhoto

Anthropic нашли внутри Claude внутреннее пространство, где хранятся его мысли Стартап выпустил одну из самых интересных работ по интерпретируемости за последнее время. Они обнаружили, что в LLM есть отдельный небольшой внутренний набор нейронных активаций, который используется как рабочая память для сложного мышления: так называемый J-space. Мы часто представляем LLM как огромную мешанину чисел, где знания и рассуж

1 Jul 2026, 08:39 UTC645 viewsread 7 August 2026
Forwarded from @vcnewsPhoto

Anthropic восстановит доступ к Fable 5 для пользователей по всему миру c июля 2026 года. Минторг США снял запрет на доступ к модели для иностранных граждан. Ограничения действовали с 12 июня 2025 года vc.ru/ai/3005331

30 Jun 2026, 18:57 UTC568 viewsread 7 August 2026
Forwarded from @ai_newzPhoto

Вышел Claude Sonnet 5 По перформансу ближе к Opus 4.8 чем к Sonnet 4.6. Модель уже доступна всем пользователям, включая бесплатных. Цена до конца лета $2/$10 за миллион токенов, потом поднимут до классических $3/$15. @ai_newz

30 Jun 2026, 10:07 UTC590 viewsread 7 August 2026
Forwarded from @sysblok

Национальный корпус русского языка вырос в шесть раз Национальный корпус русского языка (НКРЯ) пополнился новым разделом — Генеральным интернет-корпусом русского языка (ГИКРЯ). В него вошли тексты социальной сети ВКонтакте с 2007 по начало 2022 года. Общий объем НКРЯ вырос с 2,2 до 13,5 млрд словоупотреблений — более чем в шесть раз. НКРЯ существует с 2004 года и объединяет более 50 корпусов: от древнерусских летоп

7 Jun 2026, 11:56 UTC947 viewsread 7 August 2026

Китайская Moonshot AI выпустила Kimi Code CLI: у нас теперь есть опенсорсный аналог Claude Code

14 May 2026, 08:53 UTC941 viewsread 7 August 2026
Forwarded from @cgeventVideo

Krea сделала свой Midjourney Своя модель от Krea, натренированная с нуля и заточенная на разные художественные стили. Не ждите фоторил или рендеринг текста, ожидайте креатива в духе Миджорни. Доступна пока на планах Max и Businesses. https://www.krea.ai/krea-2 @cgevent

19 Mar 2026, 13:21 UTC≈1,200 viewsread 7 August 2026

Сохраним Android открытым https://keepandroidopen.org/ru/

Showing the 12 most recent of 19 posts we hold for @datasas. 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“местный датасасер ☮️” (@datasas), 1,845 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/datasas.

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.