Telegram RegisterThe public register of Telegram

Channel

Big Data AI

@bigdatai

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

18,142subscribers

-28 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001684696497
TypeChannel
Username@bigdatai
Description@haarrp - админ Вопросы с собеседований по Machine Learning, Data Science, Deep Learning и Нейроннным сетям @data_analysis_ml - анализ данных @ai_machinelearning_big_data @itchannels_telegram - важное для программиста РКН: clck.ru/3Fmqxe
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/bigdatai

Growth

18,14218,17018,1566 August 2026 — 18,170 subscribers6 August 2026 — 18,170 subscribers6 August 2026 — 18,161 subscribers7 August 2026 — 18,156 subscribers8 August 2026 — 18,152 subscribers9 August 2026 — 18,148 subscribers10 August 2026 — 18,145 subscribers11 August 2026 — 18,143 subscribers12 August 2026 — 18,142 subscribers6 August 202612 August 2026
9 measurements spanning 6 days, net -28. 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 18,138–18,174 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:5818,142-1
11 Aug 2026, 15:1818,143-2
10 Aug 2026, 16:3618,145-3
9 Aug 2026, 19:0318,148-4
8 Aug 2026, 18:4018,152-4
7 Aug 2026, 17:4118,156-5
6 Aug 2026, 20:4018,161-9
6 Aug 2026, 02:1618,170no change
6 Aug 2026, 01:5018,170first reading

Engagement

24 posts held, back to 9 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.05%
avg views ÷ 18,142 subscribers
Avg views / post
1,640
21 posts measured
Reaction rate
0.502%
reactions ÷ views · ER floor
Posts in window
21
of 24 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 12 August 2026
Posts held24 (9 July 202612 August 2026)
Views total34,489
Reactions total173
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 00:15 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
1,100
Videos
160
Links
1,090

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
4m 11s
Average length
1m 24s

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

178 reactions across 22 posts, in 12 distinct kinds. The most used accounts for 28.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5128.7%
😁3821.3%
👍3620.2%
🔥2312.9%
🙈95.06%
💯52.81%
👀31.69%
👎31.69%
🤔31.69%
🤡31.69%
🥰21.12%
🥱21.12%

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 24 of the 24 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 192reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 9 July 2026 to 12 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.

Recent posts

12 Aug 2026, 14:21 UTC543 views7 reactionsread 13 August 2026

🔥 9B-модель, которая по тестам автора залезает на территорию 27B: вышла Qwen3.5 The Defiant DavidAU выложил необычный fine-tune Qwen3.5-9B с упором на reasoning, код, creative writing и жёсткое следование инструкциям. Модель помечена как multi-stage tuned, heretic/abliterated и распространяется под Apache 2.0. Самое интересное в цифрах. Автор утверждает, что в своём наборе из семи бенчмарков 9B-версия превосходит о

👍51🔥1

9 Aug 2026, 10:58 UTC896 views6 reactionsread 13 August 2026
Forwarded from @ai_machinelearning_big_dataPhoto

📌 OpenAI впервые опубликовала статистику использования ChatGPT по странам Статистика опубликована на Signals - площадке экономической исследовательской группы компании и охватывает второй квартал 2026 года. В выборку вошли только аккаунты подписок Free, Go, Plus и Pro, корпоративные подписки не учитывались. 🟡Главный вывод В рабочем контексте люди вдвое чаще просят ChatGPT что-то сделать (написать текст, код, пров

3👍3

6 Aug 2026, 21:17 UTC≈1,130 views4 reactionsread 13 August 2026
Forwarded from @data_analysis_mlPhoto

DeepSeek предупредила разработчиков о «значительном» повышении цен на API в ближайшее время. Новые тарифы и дата перехода пока не объявлены. Сейчас DeepSeek V4 Flash 0731 стоит всего: Вход: $0,14 за 1 млн токенов Выход: $0,28 за 1 млн токенов По расчётам Artificial Analysis, выполнение одной тестовой задачи обходится примерно в 3 цента - почти в 105 раз дешевле Claude Fable 5. И этот демпинг сработал. Новая в

4

6 Aug 2026, 18:43 UTC≈1,110 views4 reactionsread 13 August 2026
Photo

Лето, ИТ-Пикник и музыка известных артистов уже через несколько дней! 8 августа в Коломенском пройдет ИТ-Пикник. В программе — выступления проекта LAB Антона Беляева, IOWA, Cream Soda, Pompeya, мартина и Совы. А днем — научпоп-лекции, дискуссии об ИИ и больших языковых моделях, мастер-классы и интерактивы. Полезные знакомства и развлечения тоже будут. Зарегистрироваться и узнать подробности можно на сайте меропри

🥰21👍1

6 Aug 2026, 09:17 UTC≈1,140 views3 reactionsread 13 August 2026
Forwarded from @rust_codePhoto

🦀 Rust вводит официальные правила использования LLM при работе над `rust-lang/rust` Это не запрет ИИ и не позиция всего проекта Rust. Политику приняли команды, работающие с основным репозиторием языка. Причина - поток хорошо оформленных AI-PR, авторы которых не всегда понимают собственный код, и растущая нагрузка на ревьюеров. Главный принцип: > LLM можно использовать для анализа, проверки, уточнения и ревью, но

3

4 Aug 2026, 13:27 UTC≈1,240 views5 reactionsread 13 August 2026
Photo

Rust, который наконец становится понятным 🦀 Давно хочешь выучить Rust, но ownership, borrowing и lifetimes выглядят как отдельный вид боли? Этот курс проведёт тебя с самого начала до уровня, где ты уже пишешь реальные системные и сетевые программы. Ты разберёшь: Ownership → Borrowing → ошибки → коллекции → Generics → Traits → модули → тесты → сетевой код Никакого бесконечного чтения документации. После каждого ур

3👍2

2 Aug 2026, 11:13 UTC≈1,440 views12 reactionsread 13 August 2026
Photo

Photo, posted without a caption

😁111

1 Aug 2026, 11:05 UTC≈2,410 views7 reactionsread 13 August 2026
Video

Репозиторий, который заменит десятки подборок по ИИ Awesome Artificial Intelligence - тщательно отобранная база материалов для разработчиков, которые хотят понимать современные AI-системы и запускать их в продакшене. У проекта уже более 15 тысяч звёзд на GitHub. Внутри собраны: лучшие книги и курсы по ML, LLM и deep learning; фундаментальные статьи — от Transformer и LoRA до RAG, ReAct и DPO; практические материал

7

31 Jul 2026, 12:51 UTC≈1,500 views6 reactionsread 13 August 2026

CoRT: награда для LLM больше не размазывается по всему ответу В обучении с рубриками ответ модели оценивают сразу по нескольким критериям: точность, формат, стиль и полнота. Проблема в том, что методы вроде GRPO обычно превращают эти оценки в одно число. В результате одинаковый сигнал получают все токены ответа — и полезные, и ошибочные. CoRT распределяет награду точнее. Один и тот же ответ оценивается в двух усл

👍3🔥21

27 Jul 2026, 14:49 UTC≈1,850 views12 reactionsread 13 August 2026
Video

Статья Google «Attention Is All You Need», которая в итоге привела к появлению трансформеров, изначально выросла из попытки улучшить Google Translate всего примерно на 3%. Инновации часто рождаются уже в процессе создания продукта. Если ты сам ничего не строишь, ты теряешь возможность придумать, как сделать это лучше. ~ Palantir's CTO

👍7👀3🔥1🤔1

27 Jul 2026, 12:49 UTC≈1,620 views5 reactionsread 13 August 2026
Photo

Rust курс со Stepik для тех, кто уже пишет прод 🦀 Когда начинаешь думать не только «работает ли код», но и что происходит с памятью, аллокациями, потоками и ошибками под нагрузкой — Rust становится особенно интересным. На курсе разберёшь язык через реальные механики: ownership, borrowing, lifetimes, traits, generics, error handling, модули, тесты и сетевое программирование. После каждого блока — код и задача с ав

2🔥2👍1

26 Jul 2026, 13:50 UTC≈3,920 views10 reactionsread 13 August 2026
Photo

🔥 За одну неделю вышло сразу 6 интересных open-weight моделей Пока все ждут веса Kimi K3 и Ling 3.0, Sebastian Raschka обновил свою LLM Architecture Gallery свежими релизами. И там есть несколько необычных решений. 1. Nanbeige 4.2 3B Берёт один стек из 22 Transformer-блоков и прогоняет его дважды. Получается эффективная глубина 44 блока без удвоения весов: больше compute, но почти тот же parameter footprint. 2. La

7🔥2👍1

Showing the 12 most recent of 24 posts we hold for @bigdatai. 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.

Citation-graph rank

Citation-graph rank — 103,676 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

Mentions

Named by 34 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Appears in Telegram’s recommendations for other channels

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.

Machinelearning
@ai_machinelearning_big_data · 286,250
Telegram ranks this channel #37 of 95 here — alongside 94 others — read 10 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Big Data AI” (@bigdatai), 18,142 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/bigdatai.

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.