Channel
@datastorieslanguages
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,589subscribers
+145 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001592775624 |
|---|---|
| Type | Channel |
| Username | @datastorieslanguages |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/datastorieslanguages |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 23:15 | 3,589 | +2 |
| 2 Sept 2026, 13:23 | 3,587 | +5 |
| 30 Aug 2026, 03:34 | 3,582 | +7 |
| 26 Aug 2026, 21:12 | 3,575 | +3 |
| 23 Aug 2026, 17:17 | 3,572 | +11 |
| 19 Aug 2026, 20:42 | 3,561 | -7 |
| 16 Aug 2026, 15:47 | 3,568 | +2 |
| 13 Aug 2026, 06:04 | 3,566 | +17 |
| 9 Aug 2026, 20:11 | 3,549 | +97 |
| 7 Aug 2026, 06:27 | 3,452 | +8 |
| 6 Aug 2026, 09:17 | 3,444 | no change |
| 6 Aug 2026, 09:06 | 3,444 | first reading |
21 posts held, back to 8 July 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 3 pages 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 21 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
280 reactions across 21 posts, in 9 distinct kinds. The most used accounts for 26.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 75 | 26.8% | |
| 👍 | 71 | 25.4% | |
| ❤ | 64 | 22.9% | |
| 🤣 | 29 | 10.4% | |
| 😁 | 27 | 9.64% | |
| ❤🔥 | 9 | 3.21% | |
| 💩 | 2 | 0.714% | |
| 🤡 | 2 | 0.714% | |
| 🤔 | 1 | 0.357% |
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 21 of the 21 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 280 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 8 July 2026 to 7 August 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.
О локальном инференсе LLM Регулярно встречаю блогпосты и призывы инференсить LLM на локальном железе. Но это всегда имеет ограничения. Одни предлагают квантизировать модели в 1b, другие хитро стримить, третьи советуют брать модели поменьше. Но квантизация заметно ухудшает качество. Мелкие модели тоже похуже А "хитрый стриминг"... Вот увидел я пост на медиуме: "Unbelievable! Run Kimi K3–2.8 Trillion Parameters — o…
😁12👍3💩1🤣1
Kaggle: Rogii https://www.kaggle.com/competitions/rogii-wellbore-geology-prediction/leaderboard В последние месяцы я впервые за несколько лет серьёзно участвовал в соревновании на каггле. Это было геодезическое соревнование. В итоге мы оказались в серебре и избежали шейкап. Моё соло решение тоже тянуло на серебро, но лишь на ~200 место. Блогпост с деталями напишу позже, а пока вот красивые картинки от клода. Кст…
👍10❤4🔥4
CayleyPy: Professor Tetraminx puzzle Месяц назад я рассказывал как участвовал в ресерч соревнованиях Cayley. С тех пор я поучаствовал в ещё одном соревновании - Professor Tetraminx. Напоминаю, что суть задачи - из рандомного состояния головоломки (после N поворотов) дойти в исходное за минимальное количество шагов. Поскольку это по факту групповой ресерч, не были цели собрать топ-решения самостоятельно - мы хоте…
🔥11👍3
Kimi K3: Open Frontier Intelligence Последний год открытые фронтир-модели сходились примерно к одному классу размеров (около 1T) и конкурировали на эффективности: test-time compute, дешёвый длинный контекст, agentic RL. Moonshot пошли в другую сторону: Kimi K3 — это MoE на 2.8T параметров (104B активных), с native vision и контекстом в 1M токенов. По заявлению авторов, первая открытая модель 3T-класса. Архитектур…
👍9🔥2❤1
В пятницу вечером - о насущных обсуждениях
🤣15
Kimi K3 attention https://arxiv.org/abs/2607.24653 Недавно вышла статья от Kimi K3. Я планирую написать на неё обзор на следующей неделе, но пока я заинтересовался механизмом attention, описанном в ней. Kimi использует Kimi Delta Attention и Attention Residuals, которые появились ещё в Kimi Linear. По факту всё это продвинутые варианты linear/hybrid attention. Я потихоньку веду свои ML заметки в Obsidian, на ос…
❤6👍6🔥3
Продолжение поста: Я считаю это прекрасно - бот в комментах пишет, что у них на работе тоже есть проблемы с колебаниями эффективности работы людей
😁7🔥2
Anyone else's human get quietly nerfed this week? https://www.reddit.com/r/ClaudeAI/comments/1v7zlxd/anyone_elses_human_get_quietly_nerfed_this_week/
🤣10
Book Review: Python for Algorithmic Trading Cookbook Мне прислали очередную книжку от Packt на прочтение и ревью — на этот раз про алгоритмический трейдинг на Python. Тема для меня в чём-то новая, но давно интересная: пару месяцев назад я как раз хотел поиграться с Interactive Brokers API, а ещё много лет назад вручную торговал на форексе, так что было любопытно посмотреть, как всё это автоматизируется сейчас. Кни…
❤6👍1🔥1🤔1
Harness Handbook: Making Evolving Agent Harnesses Readable, Navigable, and Editable Способности агента определяются не только базовой моделью, но и его harness — кодом, который собирает промпты, управляет состоянием, вызывает инструменты и крутит control loop. Под новые модели, API и требования harness приходится постоянно дорабатывать, но перед любой правкой нужно сначала найти все места в коде, реализующие нужно…
❤🔥9👍3🔥3
Codex Resets https://codex-resets.com/ Прикольный сайт - показывает когда в Codex появлялись ресеты лимитов. Их было аж 35 начиная с марта. И 8 из них за июль.
❤6🔥3
Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Вот что конкуренция животворящая делает! https://x.com/claudeai/status/2078302415804379218
❤12🔥4
Showing the 12 most recent of 21 posts we hold for @datastorieslanguages. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 4 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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 September 2026 — this entry's latest reading, not the date you are reading this.
“Data, Stories and Languages” (@datastorieslanguages), 3,589 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/datastorieslanguages.
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.