Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 84% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 11 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 14 comparable posts for this entry, running 2 June 2026 to 29 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @strangedalle. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
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 925–927 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 00:51
926
no change
7 Aug 2026, 13:04
926
first reading
Engagement
16 posts held, back to 31 May 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
30.3%
avg views ÷ 926 subscribers
Avg views / post
280
7 posts measured
Reaction rate
37.7%
reactions ÷ views · ER floor
Posts in window
7
of 16 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
Window
Rolling 30 days · latest post in window 29 July 2026
Posts held
16 (31 May 2026 – 29 July 2026)
Views total
1,962
Reactions total
739
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 00:51 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
461
Videos
176
Links
185
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
3m 55s
Average length
1m 18s
Measured directly from 3 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
1,680 reactions across 16 posts, in 12 distinct kinds. The most used accounts for 11.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
194
11.5%
🗿
194
11.5%
👏
191
11.4%
🥰
165
9.82%
🌭
156
9.29%
🔥
137
8.15%
🤩
135
8.04%
💯
125
7.44%
🍓
114
6.79%
🆒
100
5.95%
🍾
99
5.89%
🎉
70
4.17%
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 16 of the 16 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 1,680reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 31 May 2026 to 29 July 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.
Я (возможно) победил тайм-менеджмент.
Продолжаю нахваливать ГПТ Ворк. Перетащил туда кучу проектов из Клода — теперь и тайм-менеджмент.
С ним всё ужасно (было). Всегда устаю обслуживать систему раньше, чем она начинает работать, поэтому сделал свою. И здесь важная деталь — запланированные задания в Work.
🔄Система, как палка (простая):
1. Сливаю все задачи в Todoist голосом (у них есть такая фича). Без меток, прио…
Рассказываю, как это собиралось.
1. Адаптация сценария и все промпты — Claude Fable с кастомным скиллом-промтером под Seedance 2. Разбили сюжет на 15-секундные сегменты (ориентир — 4 сцены и ~35 слов диалога), дальше он выдавал промпт под каждый кусок (а я редактировал и приносил обратно скриншоты фейлов).
2. На каждый такой кусок — от четырёх до восьми вариаций (всего вышло под сто). Первые уродцы — проверить пром…
Рассказываю, как это собиралось.
1. Адаптация сценария и все промпты — Claude Fable с кастомным скиллом-промтером под Seedance 2. Разбили сюжет на 15-секундные сегменты (ориентир — 4 сцены и ~35 слов диалога), дальше он выдавал промпт под каждый кусок (а я приносил обратно скриншоты фейлов).
2. На каждый такой кусок — от четырёх до восьми вариаций (всего вышло под сто). Первые уродцы — проверить промпт и работу асс…
Дуэль Пушкина и Дантеса, но это JoJo's Bizzare Adventures.
Еще одна экранизация классического комикса (или манги?) моего товарища Дюрана.
Взял для себя как челлендж-задачку, но вроде получилось. Пайплайн будет!
Версия для ютуба, IG, тикитока.
Ваши SKILLS — новое золото 💸
И я не про мясные скиллы (которые тоже важны).
Если вы не поняли, о чём речь, краткая справка. SKILL — это запакованный в текстовый файлик/и опыт, который ЛЛМКА призывает, когда этот опыт потребуется. Написать идеальный промт для Seedance 2, отредактировать текст в определённом tone of voice, создать презентацию по определённому шаблону и т. д. Можно скачать тысячи скиллов под самые раз…
Ваши SKILLS — новое золото 💸
И я не про мясные скиллы (которые тоже важны).
Если вы не поняли, о чём речь, краткая справка. SKILL — это запакованный в текстовый файлик/файлики опыт, который ЛЛМКА призывает, когда этот опыт потребуется. Написать идеальный промт для Seedance 2, отредактировать текст в определённом tone of voice, создать презентацию по определённому шаблону и т. д. Можно скачать тысячи скиллов под сам…
Попросили очень просто пояснить разницу между Chat и Work.
Chat: вы едите суп и делаете большую задачу общаясь с чатом и переключаясь между разными сервисами.
Work: вы едите суп, большая задача делается сама.
Почему GPT-5.6 Work — балдеж? 😑
Это финальный шаг мейнстримизация агентов!
Кодекс и Клод Код/Ворк уже показали, насколько круто можно можно работать с большим контекстом, файлами и длинными задачами. Но их среда построена вокруг кода, репозиториев и папочек на компьютере.
Ворк переносит тот же подход на обычную работу: облачное хранилище, плагины, скиллы (наконец-то), документы, презентации. Теперь можно с телефон…
Возвращаюсь! Новый GPT-5.6 и режим Work — восторг, сжог недельный лимит за 100$ за ночь (чуть позже напишу мнение). А пока — открыл возможность создавать питомца (как скрепка в старом Office), который будет вас сопровождать в Work и Кодексе.
Делюсь с вами Свидетелем (из Вайбкодова). Файл с прозрачностью для загрузки в комментах.
Можете легко сделать своего — в Ворк просто пишите "создай питомца", активируется соотс…
США: “Эта модель может быть слишком сильной для кибератак.”
Anthropic: “Но это не уникальная опасность, так умеют и другие модели.”
США: “BONK! Доступ закрыть.”
Так ничего и не успел завайбкодить с Fable.
Это, конечно, прецедент. Экспортный контроль, придуманный для чипов и урана, натянули на софт. Модель теперь — чемодан с изотопом, который иностранцу показывать нельзя (даже если этот иностранец её и обучал).
Уро…
США: “Эта модель может быть слишком сильной для кибератак.”
Anthropic: “Но это не уникальная опасность, так умеют и другие модели.”
США: “BONK! Доступ закрыть.”
Так ничего и не успел завайбкодить с Fable.
Это, конечно, прецедент. Экспортный контроль, придуманный для чипов и урана, натянули на софт. Модель теперь — чемодан с изотопом, который иностранцу показывать нельзя (даже если этот иностранец её и обучал).
Уро…
🗿54👍14🥰14💯10🌭9👏7
Showing the 12 most recent of 16 posts we hold for @strange_dalle. 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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Ai molodca 🤖 АИ Молодца | ИИ AIMolodcaHub strangedalle” (@strange_dalle), 926 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/strange_dalle.
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.
