Channel
@inkoziev_channel
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
199subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002636795036 |
|---|---|
| Type | Channel |
| Username | @inkoziev_channel |
| Created | Between 1 March 2025 and 27 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/inkoziev_channel |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 13:17 | 199 | -3 |
| 10 Sept 2026, 10:00 | 202 | -1 |
| 31 Aug 2026, 21:26 | 203 | +2 |
| 16 Aug 2026, 02:36 | 201 | -1 |
| 8 Aug 2026, 11:30 | 202 | no change |
| 7 Aug 2026, 17:07 | 202 | first reading |
20 posts held, back to 27 July 2025 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 15 May 2026. An engagement rate over an empty window would be a number about nothing.
74 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 32.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 24 | 32.4% | |
| ❤ | 21 | 28.4% | |
| 👍 | 21 | 28.4% | |
| 💯 | 4 | 5.41% | |
| 😁 | 2 | 2.70% | |
| 👎 | 1 | 1.35% | |
| 🤔 | 1 | 1.35% |
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 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 74 reactions 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 27 July 2025 to 15 May 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.
🎉 Нашу с Леонидом Синевым статью опубликовали в JAIR (Journal of Intelligence Research)! 🎉 Computational Approaches to Automatic Poetry Generation and Evaluation: A Survey Это обзор, посвященный теме генеративной поэзии: - решаемые задачи - доступные датасеты - инструменты для разметки и анализа - подходы к созданию генеративных моделей - методы оценки сгенерированных стихотворений Идея написать такой обзор появи…
👍6❤4🔥1
Заработал мой прототип модели VLA на базе Qwen3-VL 🎉 Пояснение: VLA (Vision-Language-Action) модели управляют робототехникой на уровне команд для сервоприводов. На вход такой модели подаётся текстовое описание задачи, изображение с камер(ы), сигналы о текущем состоянии сервоприводов и т.д. Задача модели - выдать управляющие команды для всех сервоприводов на 1 или несколько следующих шагов. Примеры: RT-2, OpenVLA, Gi…
🔥7👍2❤1
Ходовые испытания 5-dof манипулятора с CV пайпланом на основе двух моделей: 1) Qwen/Qwen2.5-VL-7B-Instruct для общего анализа сцены на кадре с видеокамеры; выдает список описаний объектов. 2) iSEE-Laboratory/llmdet_large для получения bounding box'а объекта, выбранного из выдачи в п.1; в экспе используется запрос "Find and move all green objects". На сцене - два зеленых кусочка пластилина. Треножник справа - это шт…
🔥6
Video, posted without a caption
Video, posted without a caption
Я в отпуске наконец-то занялся экспериментами с "живой" робототехникой, visual language LLM и компьютерным зрением, и вот довёл до рабочего состояния первый прототип: система из манипулятора, камеры и программного пайплайна для задачи захвата объекта (подробности тут). Планы: сделать систему с visual language LLM, глубоким анализом сцены, видимой через камеру, попробовать стереозрение, и сделать на основе инструктив…
👍3❤2🔥2
Внезапный препринт про обход защиты (по генерации нежелательного контента) в современных LLM через переписывание промптов в поэтической форме: Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models https://arxiv.org/pdf/2511.15304 Цитата из абстракта: We present evidence that adversarial poetry functions as a universal single-turn jailbreak technique for Large Language Models (…
❤3🔥2😁2
На днях я поучаствовал в семинаре по написанию research статей, который организовала Мария Тихонова aka @mashkka_t. Я рассказал про лайфхак, как делать ai review с помощью чатбота (ChatGPT, Grok, DeepSeek и т.д.), чтобы отполировать текст статьи с точки зрения академичности языка, связности разделов, наименования таблиц и соблюдения редакционных style guide'ов перед сабмитом. Моя идея - автор статьи отвечает за мет…
❤3👍3🔥2
Оказывается, можно про использование пробелов в стихах целую статью забабахать, упомянув там еще LLM и OCR (так как OCR не всегда сохраняет пробелы там, где это нужно, при конвертации в текст), а также собрать датасетики и накрутить аналитики. https://arxiv.org/pdf/2510.16713 "Why Whitespace Matters for Poets and LLMs" Одна картинка (см. скрин) мне показалась любопытной - получается, мода на активное оформление сти…
❤1🤔1
1) ChatGPT's Poetry is Incompetent and Banal https://cs.nyu.edu/~davise/papers/GPT-Poetry.pdf 2) AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably https://www.nature.com/articles/s41598-024-76900-1 По любому вопросу в data science можно найти статьи с прямо противоположными выводами 🤯
💯4❤1
Оказывается, в сцене отлёта Endurance в фильме Interstellar звучит фрагмент стихотворения "Do not go gentle into that good night" Дилана Томаса (вот статья на вики) Do not go gentle into that good night, Old age should burn and rave at close of day; Rage, rage against the dying of the light. Though wise men at their end know dark is right, Because their words had forked no lightning they Do not go gentle into that …
❤2👍1
Ветер тучи на небе гонит, а деревья гнутся до земли. Воробей на ветке стонет, от жары и перья все в пыли. Тополя, берёзы плачут, под окном сирень стоит в цвету. И кукушка где-то плачет, на опушке леса, в пустоту. Солнце жарит нестерпимо, раскалился воздух до небес. Лето пролетает мимо, скоро дождь польёт, а может, без. И уже созрели вишни, скоро осень, снова листопад. Будут жёлтыми деревья, птицы к югу все полетят.
👍1
Showing the 12 most recent of 20 posts we hold for @inkoziev_channel. 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.
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Ars Poetica Numeralis” (@inkoziev_channel), 199 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/inkoziev_channel.
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.