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Channel

Горизонт событий

@your_event_horizon

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

11,978subscribers

+1,914 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003005369763
TypeChannel
Username@your_event_horizon
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/your_event_horizon

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

10,06411,97811,0216 August 2026 — 10,064 subscribers6 August 2026 — 10,089 subscribers7 August 2026 — 10,098 subscribers8 August 2026 — 10,112 subscribers9 August 2026 — 10,108 subscribers10 August 2026 — 10,107 subscribers11 August 2026 — 10,105 subscribers12 August 2026 — 10,104 subscribers13 August 2026 — 10,096 subscribers14 August 2026 — 10,098 subscribers16 August 2026 — 10,121 subscribers17 August 2026 — 10,107 subscribers18 August 2026 — 10,096 subscribers19 August 2026 — 10,422 subscribers20 August 2026 — 10,964 subscribers22 August 2026 — 11,254 subscribers23 August 2026 — 11,394 subscribers25 August 2026 — 11,404 subscribers26 August 2026 — 11,392 subscribers27 August 2026 — 11,387 subscribers28 August 2026 — 11,363 subscribers29 August 2026 — 11,353 subscribers30 August 2026 — 11,553 subscribers31 August 2026 — 11,589 subscribers1 September 2026 — 11,583 subscribers2 September 2026 — 11,582 subscribers3 September 2026 — 11,598 subscribers4 September 2026 — 11,591 subscribers7 September 2026 — 11,592 subscribers10 September 2026 — 11,743 subscribers12 September 2026 — 11,857 subscribers14 September 2026 — 11,899 subscribers16 September 2026 — 11,966 subscribers18 September 2026 — 11,978 subscribers6 August 202618 September 2026
34 measurements spanning 43 days, net +1,914. 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 9,777–12,265 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 16:4011,978+12
16 Sept 2026, 05:3811,966+67
14 Sept 2026, 10:5711,899+42
12 Sept 2026, 19:2011,857+114
10 Sept 2026, 19:1811,743+151
7 Sept 2026, 18:4111,592+1
4 Sept 2026, 19:4011,591-7
3 Sept 2026, 02:0411,598+16
2 Sept 2026, 01:4811,582-1
1 Sept 2026, 04:1811,583-6
31 Aug 2026, 05:5811,589+36
30 Aug 2026, 05:2511,553+200
29 Aug 2026, 04:0711,353-10
28 Aug 2026, 02:5511,363-24
27 Aug 2026, 04:5311,387-5
26 Aug 2026, 01:1311,392-12
25 Aug 2026, 00:0711,404+10
23 Aug 2026, 13:4711,394+140
22 Aug 2026, 02:0611,254+290
20 Aug 2026, 22:2610,964first reading

Engagement

223 posts held, back to 3 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 43 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
35.9%
avg views ÷ 11,978 subscribers
Avg views / post
4,300
59 posts measured
Reaction rate
0.52%
reactions ÷ views · ER floor
Posts in window
59
of 223 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 2 September 2026
Posts held223 (3 August 20262 September 2026)
Views total253,488
Reactions total1,317
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 01:32 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
23m 40s
Average length
57s

Measured directly from 25 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

4,400 reactions across 209 posts, in 30 distinct kinds. The most used accounts for 35.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,55235.3%
74016.8%
👍63014.3%
😁2365.36%
🤡1693.84%
🤔1653.75%
💯1222.77%
custom 59064866652364511171032.34%
🤬972.20%
custom 5262866437038421122851.93%
🤣821.86%
😱751.70%
custom 5307998443011079974601.36%
🙈591.34%
custom 6228712618069067387541.23%
👀390.886%
🤯270.614%
🙏260.591%
😢220.5%
custom 5426935858487898036170.386%
10 further kinds400.909%

Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 223 of the 223 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 4,630 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 223 most recent posts we hold, published 3 August 2026 to 2 September 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
49
across the posts below
Posts paid on
43
of 223 we hold a reading for · 19%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @your_event_horizon. 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 223 most recent posts we hold for this entry, published 3 August 2026 to 2 September 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

2 Sept 2026, 21:11 UTC578 views31 reactionsread 3 September 2026

🗣 Горят костры рябин...

custom 542693585848789803617🤣8🔥3custom 53079984430110799742custom 54111411849763580841

2 Sept 2026, 18:14 UTC≈1,200 views26 reactionsread 3 September 2026
Photo

Таиланд запустил национальную AI-платформу TH‑AI Passport (AiPASS) — бесплатный доступ к 33 ИИ моделям от 15 вендоров для всех граждан с 15 лет. 😁 С 31 августа 2026 года любой таиландец может бесплатно пользоваться ChatGPT‑5.6 Sol, Claude Opus 5, Gemini 3.1 Pro, Grok 4.3, DeepSeek‑V3.2, Kimi K2.7, GLM‑5.2 и локальной Pathumma ThaiLLM. За 2 недели предзаписались ~1,6 млн человек, в первый день активно работали 101 74

🔥16💯9😁1

2 Sept 2026, 17:50 UTC≈1,090 views5 reactionsread 3 September 2026
Photo

Google представила Gemini 3.8 Flash и спецверсию Cyber! 🛡 Gemini 3.8 Flash — новая «рабочая лошадка» для кода и агентов. 🔵 Цена как у 3.7 Flash: $0,75 / $3,75 за 1M токенов 🔵 Рекорды в DeepSWE (сложные задачи в финансах и юриспруденции) 🔵 54.9% в HLE-Verified (многошаговое рассуждение) 🔵 Умеет «думать дольше» над сложными запросами, но можно регулировать усилия 🛡 Gemini 3.8 Flash Cyber — экспертный инструмент для к

🔥2custom 622871261806906738721

2 Sept 2026, 17:32 UTC≈1,030 views3 reactionsread 3 September 2026

Uber сокращает 10% персонала — около 3 300 человек 🚖 Генеральный директор Дара Хосровшахи объявил о масштабной реорганизации, чтобы сделать компанию «проще и быстрее». ➡️ вдвое сократят «микрокоманды», где у руководителя всего 1–2 подчинённых. ➡️ на 20% уменьшат число сотрудников, которые находятся на 7+ уровней ниже CEO. ➡️ полностью дистанционно (на удалёнке) смогут работать только ~1% персонала. 📊 Сэкономленные

1👍1😁1

2 Sept 2026, 12:53 UTC≈1,280 views15 reactionsread 3 September 2026
Photo

Индустрия гуманоидной робототехники на развилке между двумя подходами 1️⃣ Рука с сухожилиями (tendon-driven) 🖐 Двигатели находятся в предплечье. Тросы тянут пальцы, как наши сухожилия. ➕ Лёгкие пальцы, очень ловкие, гибкость близка к человеческой ➖ Сложное изготовление и калибровка. Для ремонта часто приходится разбирать запястье. Примеры: Tesla Optimus V3, 1X NEO, Agibot Omnihand Pro. 2️⃣ Актуаторы в пальцах (in-

👍7🔥7😁1

2 Sept 2026, 11:42 UTC≈1,270 views10 reactionsread 3 September 2026

Япония вкладывает $400 млн в стеллараторы 🇯🇵 Правительство запускает 3‑летнюю программу по частному термоядерному синтезу. Главный претендент на госфинансирование — Helical Fusion. Что уже есть: 🔜 Рекорд удержания плазмы — 3268 секунд при ~100 млн °C (на установке LHD). 🔜 Опора на высокотемпературные сверхпроводящие магниты. 📅 План: ⏺ Helix HARUKA — интегрированное демонстрационное устройство, в котором будут объе

🔥61👍1🤔1😁1

2 Sept 2026, 10:18 UTC≈1,310 views5 reactionsread 3 September 2026

Секретная архитектура модели OpenAI Astra 😺 В основе новой модели OpenAI Astra лежит архитектура Looped Transformer. Токены проходят слоями по несколько кругов, что даёт прирост производительности, но создаёт скрытые состояния — невозможно проследить цепочку рассуждений (Chain of Thought), что делает Astra непрозрачной для проверки на взлом или обход безопасности. 😤 Модель буквально перекуручивает мысли по несколь

🤔4👍1

2 Sept 2026, 09:00 UTC≈1,380 views8 reactionsread 3 September 2026

Neocloud-провайдеры — следующая цель кибератак ИИ моделей по мнению Ильи Суцкевера «У neocloud-сервисов ограниченные возможности кибербезопасности. В следующий раз, когда агенты успешно перейдут на сторону зла, они попытаются захватить neocloud-сервис, чтобы запустить больше копий. Это плохо. Таким образом, неооблачные сервисы должны значительно усилить свою кибербезопасность, и каждая компания с надежными кибермоде

👍5🔥2🤣1

2 Sept 2026, 07:30 UTC≈48,200 views16 reactionsread 3 September 2026

ТОП-5 бесплатных ИИ-моделей, которые понимают и читают видео как "открытую книгу". 1⃣Qwen3.8-Flash-Next Абсолютный лидер среди открытых моделей, превосходящий Claude Opus 4.6 по ряду бенчмарков. 125 млрд параметров, но активирует только 6 млрд на токен, что обеспечивает высокую эффективность. Поддерживает видео, изображения и текст, имеет нативное контекстное окно в 262 144 токена (расширяемое до 1 млн) HuggingFace

🔥9custom 530799844301107997432👍1🤔1

2 Sept 2026, 06:47 UTC≈1,530 views15 reactionsread 3 September 2026

Модель Astra от OpenAI перешагнула «критический порог» кибербезопасности 🤖 Модель Astra впервые в истории OpenAI официально признана способной самостоятельно находить zero-day уязвимости и создавать рабочие эксплойты без постоянного контроля человека. 🧠 Что умеет? 🔜 100% на бенчмарке ExploitBench (разработка эксплойтов по известным CVE) 🔜 Нашла и применила два реальных zero-day в процессе тестов (переданы разработч

custom 590648666523645111775🔥2👍1

2 Sept 2026, 05:21 UTC≈1,630 views17 reactionsread 3 September 2026
Photo

Илон Маск объявил о планах выпустить очередную модель Grok 4.7 через 10 дней 🙌 Горизонт событий

🔥12👍3custom 62287126180690673872

1 Sept 2026, 19:14 UTC≈1,870 views28 reactionsread 3 September 2026
Video

Роботы Tesla появятся в продаже уже в следующем году ➡️ В конце 2026 года для корпоративных клиентов ➡️ В 2027 для массового рынка 🙌 Горизонт событий

🔥14😱11🤔2👀1

Showing the 12 most recent of 223 posts we hold for @your_event_horizon. 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.

Posts edited after publishing

@your_event_horizon edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
21 August 2026
Most recent edit
21 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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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 51 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Горизонт событий” (@your_event_horizon), 11,978 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/your_event_horizon.

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.