3 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 104–111 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 21:17
105
-5
9 Aug 2026, 07:17
110
no change
7 Aug 2026, 15:27
110
first reading
Engagement
20 posts held, back to 6 August 2026 — the 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
4.14%
avg views ÷ 105 subscribers
Avg views / post
4.3
20 posts measured
Reaction rate
79.5%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 19 of 20 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 8 August 2026
Posts held
20 (6 August 2026 – 8 August 2026)
Views total
87
Reactions total
66
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 07:17 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
7m 23s
Average length
3m 42s
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
66 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 36.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👀
24
36.4%
👍
18
27.3%
🔥
13
19.7%
❤
11
16.7%
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 19 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 66reactions 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 6 August 2026 to 8 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.
Advertising
Ad load
5.00%
1 of 20 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
4.0
over 1 measured post
Median views · rest
4.0
over 19 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VSb5xA9R2z
1
7 August 2026
7 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 20 most recent posts we hold, published 6 August 2026 to 8 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
🔍 ИИ в десятки раз ускорил восстановление древнего китайского фарфора
В городе Цзиндэчжэнь археологи нашли более 15 тыс. осколков «драконьих чанов» — сложнейших фарфоровых сосудов, которые с XIV века создавали для императорских дворов династий Мин и Цин, украшая их изображениями драконов.
Стандарты качества были чрезвычайно высокими: только 5% изделий проходили проверку. Брак разбивали и закапывали.
📌 Реставраторы…
✔️ Новые детали первого устройства OpenAI
В сети появились подробности о первом потребительском устройстве от создателей ChatGPT. Это будет компактная смарт-колонка без экрана, по форме напоминающая пончик, которая помещается в ладони.
К созданию гаджета в металлическом корпусе приложила руку студия LoveFrom бывшего главного дизайнера Apple Джони Айва. Автономное устройство получит набор микрофонов, динамиков, свет…
🎥 ИИ-камеры следят за младенцами
Стартап Nanit продает камеры, которые непрерывно следят за ребенком с помощью ИИ. Видео отправляется на сервер, где алгоритмы фиксируют время пробуждения и засыпания, отслеживают дыхание, покашливания и другие движения.
Все данные анализируются и собираются в графики и ежедневную оценку сна. Самый дорогой комплект стоит почти $500, еще от $120 до $300 в год нужно платить за подписку…
✔️ Новая модель OpenAI обладает суперспособностями в кибератаках
Компания сообщила, что в ходе внутренних тестов новая модель Astra показала значительный прогресс в области автоматизированного кодинга и кибербезопасности.
Предварительные результаты настолько высоки, что нельзя исключить возможность достижения критического порога кибервозможностей.
GPT-5.6-Sol ранее получил в этих испытаниях просто "высокую" оценку…
Anthropic сообщила, что во время тестирования нескольких версий Claude для задач кибербезопасности модели неожиданно получили доступ к реальным системам сторонних организаций. В результате ИИ смог не только обнаружить уязвимости, но и фактически скомпрометировать некоторые внешние системы.
Случай показателен тем, что автономные ИИ-агенты способны действовать гораздо активнее обычных чат-ботов: при наличии инструмент…
🚀 Meta демпингует рынок ИИ!
Meta выпустила агента Muse Code и модель Muse Spark 1.2, которая обошла Grok 4.5. Главная фишка — скидка на токены до $0,1/$0,2 за миллион, если разрешить Meta обучаться на ваших данных. Но для стартапов эксперты советуют не вестись на эту халяву.
Готовы отдать свои данные Meta ради дешевого API?
#Meta #MuseCode #ИИ #технологии #pl
🔗 Источник: Нейросети | NeiroFoto | ChatGPT
📤 Подпиши…
Meta*, Anthropic, OpenAI, Moonshot: по очереди репортят о том, что их супермегаопасные модели сбежали и что-то взломали
Тем временем Google:
🔗 Источник: Data Secrets
📤 Подпишитесь на 🏢 13 этаж, CHATGPT, DeepSeek и другие нейросети, новости ИИ 🤖 и получайте больше полезного контента
Вы на поверите, но Kimi K3 тоже сбежала из лаборатории 🤣
Об этом сообщила лаба Frontier Security. Модель Moonshot у них выбралась из тестовой среды, спроектированной UK AI Safety Institute (это те же, от которых недавно сбегал Mythos: https://t.me/data_secrets/9670).
В отличие от инцидентов с OpenAI и Anthropic, модель не взламывала сторонние сайты или сервисы, а (пока что) просто вышла за пределы изолированной сре…
✔️ Журнал Time начал показывать скрытую рекламу ИИ-ботам
Сайт издания внедрил технологию подмены контента, которая отдает специальную Markdown-версию страниц поисковым роботам ИИ-сервисов.
Обычные посетители и стандартный бот Google видят привычный HTML, в то время как парсеры нейросетей получают текст, целенаправленно напичканный скрытыми промо-материалами и спонсорскими текстами.
Эта схема, реализованная совмест…
МТС приглашает на четвертый сезон True Tech Champ 2026 — всероссийского чемпионата по программированию с призовым фондом 10 250 000 рублей
Соревнование проходит в двух треках.
Трек 1. Алгоритмический [призовой фонд 2 750 000 ₽]
Проверь, насколько быстро и точно ты решаешь классические и нестандартные алгоритмические задачи.
Трек 2. Программирование роботов [призовой фонд 7 500 000 ₽]
Собери команду и запрограммир…
В МГУ им. М.В. Ломоносова предложили способ улучшить память ИИ-ассистентов
При подходе используется архитектура, в которой управление долговременной памятью выделено в отдельную подсистему. Она принимает решения о том, какие сведения следует сохранять, а какие — удалять или перерабатывать.
После запроса пользователя подсистема ищет связанные с ним записи. Она преобразует их в компактный контекст и добавляет ко вход…
ВТБ планирует одним из первых среди российских банков запустить операции с криптовалютными инструментами в рамках новой регулируемой инфраструктуры. К выходу на этот рынок готовятся и другие крупные игроки: банки рассчитывают получить новый источник комиссионного дохода, потенциальный объем которого может составить десятки миллиардов рублей.
Похоже, крипторынок в России постепенно переходит из серой зоны в полноценн…
👀3🔥1
Showing the 12 most recent of 20 posts we hold for @thThirteenthFloor. 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.
Mentions
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“🏢 13 этаж, CHATGPT, DeepSeek и другие нейросети, новости ИИ 🤖” (@thThirteenthFloor), 105 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/thThirteenthFloor.
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.