Еще одна порция мемов перед разбором первой статьи в 2025 году🐶 PS Да, у меня был отпуск, но теперь я возвращаюсь🙂
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Channel
@kitty_bytes
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
368subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002062850597 |
|---|---|
| Type | Channel |
| Username | @kitty_bytes |
| Description | ML лонгриды для души🥰 |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/kitty_bytes |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 06:20 | 368 | no change |
| 7 Aug 2026, 13:32 | 368 | first reading |
9 posts held, back to 25 September 2024 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 9 January 2025. An engagement rate over an empty window would be a number about nothing.
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.
138 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 37.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 52 | 37.7% | |
| 👍 | 43 | 31.2% | |
| 🎉 | 15 | 10.9% | |
| ❤ | 14 | 10.1% | |
| 💯 | 4 | 2.90% | |
| 😁 | 3 | 2.17% | |
| 🤔 | 3 | 2.17% | |
| custom 5359564662180421906 | 2 | 1.45% | |
| 👌 | 2 | 1.45% |
Custom emoji. One row above is a 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 count beside it isTelegram’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 9 of the 9 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 138reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 25 September 2024 to 9 January 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kitty_bytes. 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 9 most recent posts we hold for this entry, published 25 September 2024 to 9 January 2025. 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.
Еще одна порция мемов перед разбором первой статьи в 2025 году🐶 PS Да, у меня был отпуск, но теперь я возвращаюсь🙂
🔥7💯4👍2❤1
Всех подписчиков поздравляю с Новым Годом!🎅Желаю схождения моделей, низкого лосса, высокого хирша и приятной зп😳 В честь праздника делюсь с вами подборкой мемов. Да прибудет с вами хорошее настроение🥳
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Разработка нового alignment в нашей команде подошла к моменту, когда необходимо анализировать внутреннее состояние LLM, поэтому для тех, кто занимается интерпретацией языковых моделей и исследованием их внутреннего состояния в зависимости от промпта, нашел кое-что интересное😽 🥂 Либа TransformerLens - позволяет довольно подробно и с хорошей визуализацией интерпертировать внутреннее состояние LLM. Она поддерживает бол…
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Тут Meta релизнули новую либу для обучения моделей - optimizers и я решил рассказать вам про основные особенности чуть более подробно, чем это сделали @data_secrets 😎 Для чего она нужна? Optimizers сильно расширяют функционал контроля обучения моделей для ускорения их сходимости. По видимому, в бигтехах устали от самописно-костыльных решений и Meta решила помочь всем и сразу🍷 Более того, красота этого оптимизатора в…
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DenseAttention: No-Compromise Exact All NxN Interactions Algorithm with O(N) Space and Time Complexity Возможны ли нейросети без нелинейностей? Казалось бы нет, ведь линейная комбинация линейных отображений есть линейное отображение. А возможно ли сделать трансформер только из матричных умножений - наиболее эффективных по вычислениям и с возможностью параллелизма, которые способны решить неэффективность работы архит…
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Quantization Marathon: Part I Linear Quantization #quantization Разобравшись с основными пайплайнами параллелизма LLM, перейдем к не менее актуальной теме - квантизации. Очевидно, данное направление набирает популярность по мере роста размеров моделей📈 Я думаю многие уже слышали про новый курс про квантизацию от HuggingFace совместно с DeepLearning.AI. Я решил начать с него и, оказалось, что он совсем несложный, н…
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Чуть поздно, но выскажу свое субъективное мнение на счет Нобелевской премии по физике и химии🏆 Напомню, что по физике она присуждена John J. Hopfield и Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” А по химии Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures…
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Мое выступление на ODS 2024 выложили отдельно на ютуб и многие не могут найти те обзоры RAG систем, о которых я рассказываю. Для людей, которые зашли почитать об этом дублирую ссылки на мои посты Пользуйтесь на здоровье🙃 Advanced RAG Pipelines RAPTOR P.S. Я знаю, что давно не публиковал ничего в канал, но это не значит, что я ничего не подготовил) К сожалению, очередной научный проект и запись видео на NeurIPS пот…
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Пока все сходят с ума из-за новой мультимодальной Llama 3.2 🌿, я радуюсь своим маленьким достижениям в рисерче (мем с фермером и честной работой👴): We are delighted to inform you that your submission, EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas, has been accepted at NeurIPS 2024 as a poster. Congratulations!
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Showing the 9 most recent of 9 posts we hold for @kitty_bytes. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Kitty Bytes AI” (@kitty_bytes), 368 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/kitty_bytes.
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.