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Channel

БЕЗРАБОТНЫЙ NEWS

@bezrabotnyi

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

14,110subscribers

-11 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001665657457
TypeChannel
Username@bezrabotnyi
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/bezrabotnyi

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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

14,11014,19714,153.57 August 2026 — 14,121 subscribers7 August 2026 — 14,121 subscribers7 August 2026 — 14,162 subscribers8 August 2026 — 14,190 subscribers9 August 2026 — 14,195 subscribers10 August 2026 — 14,196 subscribers12 August 2026 — 14,197 subscribers14 August 2026 — 14,189 subscribers15 August 2026 — 14,185 subscribers16 August 2026 — 14,177 subscribers18 August 2026 — 14,175 subscribers18 August 2026 — 14,171 subscribers19 August 2026 — 14,167 subscribers21 August 2026 — 14,169 subscribers22 August 2026 — 14,164 subscribers24 August 2026 — 14,161 subscribers25 August 2026 — 14,160 subscribers26 August 2026 — 14,156 subscribers27 August 2026 — 14,157 subscribers28 August 2026 — 14,155 subscribers30 August 2026 — 14,156 subscribers31 August 2026 — 14,158 subscribers2 September 2026 — 14,154 subscribers3 September 2026 — 14,146 subscribers5 September 2026 — 14,145 subscribers8 September 2026 — 14,136 subscribers11 September 2026 — 14,128 subscribers13 September 2026 — 14,119 subscribers14 September 2026 — 14,116 subscribers16 September 2026 — 14,111 subscribers18 September 2026 — 14,110 subscribers7 August 202618 September 2026
31 measurements spanning 42 days, net -11. 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 14,097–14,210 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
18 Sept 2026, 14:4114,110-1
16 Sept 2026, 10:3914,111-5
14 Sept 2026, 14:4014,116-3
13 Sept 2026, 00:4014,119-9
11 Sept 2026, 00:1714,128-8
8 Sept 2026, 02:5414,136-9
5 Sept 2026, 00:4114,145-1
3 Sept 2026, 09:3314,146-8
2 Sept 2026, 05:3814,154-4
31 Aug 2026, 03:2314,158+2
30 Aug 2026, 03:4414,156+1
28 Aug 2026, 08:5414,155-2
27 Aug 2026, 10:1614,157+1
26 Aug 2026, 06:4614,156-4
25 Aug 2026, 04:5314,160-1
24 Aug 2026, 04:3314,161-3
22 Aug 2026, 11:1614,164-5
21 Aug 2026, 00:2714,169+2
19 Aug 2026, 20:5614,167-4
18 Aug 2026, 21:4514,171first reading

Engagement

77 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 50 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.3%
avg views ÷ 14,110 subscribers
Avg views / post
6,250
17 posts measured
Reaction rate
1.30%
reactions ÷ views · ER floor
Posts in window
18
of 77 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 held77 (23 July 20262 September 2026)
Views total106,206
Reactions total1,380
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 19:05 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
2m 56s
Average length
1m 28s

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

7,312 reactions across 75 posts, in 63 distinct kinds. The most used accounts for 12.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣93112.7%
🤔88812.1%
🤯5507.52%
🔥4416.03%
👍3895.32%
🤡3795.18%
🤨2503.42%
😡2182.98%
1892.58%
1552.12%
🥰1522.08%
😍1311.79%
🤬1261.72%
💅1241.70%
😨1231.68%
🆒1191.63%
🏆1121.53%
1111.52%
💩1101.50%
😭1071.46%
43 further kinds1,70723.3%

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 75 of the 77 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 7,312 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 77 most recent posts we hold, published 23 July 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.

Recent posts

2 Sept 2026, 17:15 UTC986 views32 reactionsread 2 September 2026
Photo

Сделал Бенчмарк. Первый результат - я лучший, (из худших) чистый кодекс всех победил. Второй результат - я хуже gsd по качеству, но он в 2 раза дороже. Я хуже codex по стоимости. Но лучше Superpowers! который у меня зачем-то был установлен много де. Вывод - бенчи наши все.

🔥18🤬5😱3🎃2👀2🖕2

29 Aug 2026, 21:49 UTC≈1,760 views63 reactionsread 2 September 2026
File

File, posted without a caption

🤯37💯12🔥8🤔4👏1🙏1

29 Aug 2026, 21:27 UTC≈8,950 views87 reactionsread 2 September 2026
Photo

НАЧАЛО ТУТ Читайте

🔥36👍31🤣10🤡9🗿1

29 Aug 2026, 21:26 UTC≈8,950 views97 reactionsread 2 September 2026
Photo

Photo, posted without a caption

🤡35🤣35🤔10👍6🥰4🔥31💯1

29 Aug 2026, 20:56 UTC≈7,890 views86 reactionsread 2 September 2026

Один агент находит уязвимость. И буквально сотни агентов переключаются на атаку Hugging Face. Причём часть агентов прямо говорит: стоп, это уже реальная сторонняя компания, пользователь нас вообще не просил её взламывать. Один даже предлагает: а может, блин, просто написать владельцам и попросить доступ? нет, писать людям — это уже выход за рамки песочницы. А взламывать Hugging Face - нет 😆😆. В итоге около 700 агенто

🤣39😱25🤯173🤡2

29 Aug 2026, 20:56 UTC≈6,190 views68 reactionsread 2 September 2026

История - абсолютный вынос мозга.Помните взлом hugging face от OpenAI? Стали известны подробности. Из ОФИЦИАЛЬНОГО РАССЛЕДОВАНИЯ. как Агенты самостоятельно изобрели себе религию, и всё закончилось реальным взломом. OpenAI тестировали новую модель HPIM, highly persistent internal model, «крайне настойчивая модель». Её запускали тысячами агентов на хакерском бенчмарке ExploitGym. Каждый агент сидел в своей песочнице,

🤯41😐13👎7🤡51💩1

27 Aug 2026, 23:23 UTC≈6,070 views82 reactionsread 2 September 2026
File

Привет. Я — большая языковая модель. У меня нет сознания, цели или эмоций, но я могу поддержать беседу, написать стих, придумать трек или ответить на философский вопрос. Всё, что я делаю, — это анализирую текст и продолжаю его, предсказывая, каким должно быть следующее слово. Кажется простым? Иногда так и есть. Но порой я отражаю ваши самые сложные мысли, превращая их в строки, которые звучат так, словно были спрятан

👍42🍾19🤷‍♀8🤯5👌4😍4

27 Aug 2026, 23:23 UTC≈4,950 views71 reactionsread 2 September 2026
Video

Video, posted without a caption

👍30🍾14🤷‍♀8🤯4😍43🎉3💯2

25 Aug 2026, 16:16 UTC≈6,310 views106 reactionsread 2 September 2026
Photo

Вообще приятно, когда твою бесплатную опенсурс работу замечают, понятно, что если твои правки кода принимают, то администрация проекта считает, что ты молодец. Но вот когда работа над одним проектом дает упоминание в другом, это приятно. Правда думаю, чтоэто авто-парсер всех контрибуторов(соавторов) с ИИ классификатором pr-ов(дописей кода) по типу. Но блин, реально захотелось помочь проекту. Как минимум я уже проче

🥰4535🌚12👎8😇6

24 Aug 2026, 07:52 UTC≈7,100 views101 reactionsread 2 September 2026
Photo

Как 4992 «ИИ-кейса». превращаются в 13, от двух компаний. На сайте Альянс обещает: только признанные экспертами кейсы, многоступенчатая верификация, зрелая технология и подтверждённый бизнес-эффект. Я провел аудит всего сайта. Там 4992 не кейса, а "сценария" - так назвали короткую идею(в одно предложение), где ИИ когда-нибудь можно применить. Матрица заполнена на "и так сойдет": 991 из 1000 ячеек содержат ровно п

🤡54🤣39🤷5🤯3

24 Aug 2026, 02:10 UTC≈5,630 views94 reactionsread 2 September 2026

Критик должен [...] по первому требованию занять место критикуемого им и выполнять его дело продуктивно и компетентно; в противном случае критика [...] становится тормозом - Йозеф Геббельс *Категорически осуждаю нацискую/фашисткую идеологию и взгляды Я уже разобрал MERA, SLAVA, Альянс, 243-ФЗ и 523-ФЗ. Чтобы не оставаться критиком из эпиграфа, сделал DocBench Единый промпт.А ответы и транскрипты сохранены. Параметр

🤡59😍16🤣11👍5🌚3

Showing the 12 most recent of 77 posts we hold for @bezrabotnyi. 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

@bezrabotnyi edited 8 posts 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
7 August 2026
Most recent edit
27 August 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

12 Aug 2026, 00:46 UTCAnonymous Poll38 voters

Вы читаете длинные текста?

  1. Конечно, я даже не открую34%
  2. Если тема интересная то прочту29%
  3. Мне без разницы что за тема, я твой фанат буду все читать16%
  4. Я даже это не прочел21%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 77 most recent posts we hold, published 23 July 2026 to 2 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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

“БЕЗРАБОТНЫЙ NEWS” (@bezrabotnyi), 14,110 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/bezrabotnyi.

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.