Channel

Generative AI

@ai_generative

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,196subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID	-1001502043512
Type	Channel
Username	@ai_generative
Created	Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	7 August 2026
Last confirmed live	10 August 2026
Measurements held	3
Confirmed unchanged	1 time, most recently 10 August 2026
On Telegram	t.me/ai_generative

Growth

3 measurements spanning 4 days, net -3. 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 2,196–2,199 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
10 Aug 2026, 22:03	2,196	-3
7 Aug 2026, 08:46	2,199	no change
7 Aug 2026, 08:38	2,199	first reading

Engagement

11 posts held, back to 19 March 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 2 pagesof 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 11 posts for this entry, the most recent from 15 April 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime: 4m 46s
Average length: 2m 23s

Measured directly from 2 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

21 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
❤	9	42.9%
👍	5	23.8%
🔥	4	19.0%
😁	2	9.52%
🥰	1	4.76%

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 10 of the 11 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 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 19 March 2026 to 15 April 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

15 Apr 2026, 14:37 UTC≈1,320 views7 reactionsread 7 August 2026

Forwarded from @data_analysis_mlPhoto

ИИ решил задачу Эрдёша за 80 минут. Люди тратили на неё годы GPT-5.4 Pro закрыл проблему №1196 из списка Эрдёша. Это задачи про primitive sets - наборы чисел, где ни одно число не делит другое. Пример простой: • {2, 3, 5} работает • {2, 4} ломается, потому что 2 делит 4 На этом простота заканчивается. Дальше начинается сложная теория чисел, связанная с простыми числами и факторизацией. Конкретно эта задача про то…

❤3👍2🔥2

15 Apr 2026, 10:03 UTC865 views1 reactionsread 7 August 2026

Forwarded from @machinelearning_ruPhoto

Невероятное открытие: Математики тихо провернули безумную вещь: нашли «универсальную операцию» для всей математики Польский физик показал, что любую функцию вообще можно собрать из одного примитива. Да, буквально всё: exp, π, i, sin, cos, сложение, умножение и дальше по списку. Раньше нужно было много разных операций, а теперь теоретически всё можно выразить через одну формулу. Если знаком с NAND, ты уже понял вайб.…

❤1

15 Apr 2026, 07:57 UTC473 views4 reactionsread 7 August 2026

Photo

⚡️ Вышло большое обновление популярного курса- Ai AI агенты, которые реально работают в проде! Вы всё ещё пишете обёртки над ChatGPT и называете это «AI-продуктом»? Пока вы промптите - рынок переходит на агентные системы. Те, что принимают решения, ходят в API, работают с Postgres и Redis, управляют браузером через Playwright. И 90% таких систем ломаются между ноутбуком и продом. AI Agents Engineering - курс, кот…

❤2👍1🥰1

5 Apr 2026, 08:28 UTC653 views3 reactionsread 7 August 2026

Photo

Claude убили для агентов. Что делать? Anthropic только что заблокировала подписочные OAuth-токены для всех сторонних агентских инструментов, включая OpenClaw и Hermes. Для многих это стало холодным душем: если попробовать использовать OpenClaw через API Claude, выйдет в 20-30 раз дороже. Так что самое время присмотреться к альтернативам. Если вы среди тех, кого эта новость застала врасплох, ниже разберем три сильны…

❤2👍1

2 Apr 2026, 13:13 UTC556 views1 reactionsread 7 August 2026

Photo

Claude можно превратить из «чат-бота» в полноценного агента, если правильно организовать проект. Вся магия — в структуре папки: your-project/ ├── CLAUDE.md → инструкции для команды (сохраняется в репозитории) ├── CLAUDE.local.md → личные настройки (игнорируется git) ├── .claude/ → центр управления │ ├── settings.json → права доступа и конфигурация (в репозитории) │ ├─…

👍1

2 Apr 2026, 10:02 UTC405 views1 reactionsread 7 August 2026

Forwarded from @ai_machinelearning_big_dataVideo

✔️ Anthropic добилась удаления 8100 репозиториев на GitHub из-за утечки Claude Code. Компания направила GitHub жалобу в рамках DMCA, потребовав заблокировать доступ к утекшему коду Claude Code. Платформа полностью удовлетворила запрос и зачистила репозитории с нелегальным контентом. Под блокировку попал родительский репозиторий nirholas/claude-code и все его форки - в общей сложности 8100 проектов. Представитель An…

❤1

1 Apr 2026, 08:01 UTC363 views2 reactionsread 7 August 2026

Forwarded from @machinelearning_interviewPhoto

Парень переписал Claude Code на Python за ночь - и взорвал GitHub Anthropic случайно засветили исходники своего ИИ-редактора Claude Code и они мгновенно разлетелись по сети. Разработчик из Южной Кореи, Sigrid Jin, увидел это в 4 утра и не стал ждать. За одну ночь он переписал ключевые части проекта на Python и выложил форк под названием Claw Code. Результат: - 50 000 звёзд всего за 2 часа - вирусное распространен…

🔥2

28 Mar 2026, 05:42 UTC405 views0 reactionsread 7 August 2026

Forwarded from @neuralVideo

Amazon делает мощный ход в гуманоидной робототехнике. Компания приобрела Fauna Robotics. Их робот «Sprout» - это гуманоид ростом ~1 метр, созданный для взаимодействия в реальном мире: дома, в школах и офисах. Робот стоимостью около $50K умеет: - ходить - хватать предметы - взаимодействовать с людьми - и даже танцевать

26 Mar 2026, 07:08 UTC445 viewsread 7 August 2026

Photo

Самые быстрорастущие репозитории GitHub

24 Mar 2026, 08:05 UTC489 views0 reactionsread 7 August 2026

Photo

🚀 Cursor сделал regex-поиск мгновенным Instant Grep ищет по миллионам файлов за миллисекунды 16.8 сек → 13 мс И главное: они не ускоряли regex они убрали лишний поиск 🧠 Как это работает - создаётся индекс: куски текста → файлы - используются триграммы (fil, ile, le_) - сначала ищутся кандидаты - потом запускается regex 👉 большинство файлов вообще не открывается 🔥 Ключевая идея - sparse n-grams - индексируются …

19 Mar 2026, 11:33 UTC534 views2 reactionsread 7 August 2026

Photo

Photo, posted without a caption

😁2

Showing the 11 most recent of 11 posts we hold for @ai_generative. 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 — 1,076,591 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Дмитрий || Data Science заметки
@dima2data · 251 post

Republishes

Channels on the register whose posts this channel has forwarded.

Machinelearning
@ai_machinelearning_big_data · 286,2501 post Анализ данных (Data analysis)
@data_analysis_ml · 50,3631 post Machine learning Interview
@machinelearning_interview · 30,1111 post Машинное обучение RU
@machinelearning_ru · 18,1201 post Neural Networks | Нейронные сети
@neural · 11,4941 post

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 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.

Дмитрий || Data Science заметки
@dima2data · 251 post

Names

Channels on the register whose handles appear in this channel's posts.

Machinelearning
@ai_machinelearning_big_data · 286,2502 posts Machine learning Interview
@machinelearning_interview · 30,1111 post

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

“Generative AI” (@ai_generative), 2,196 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ai_generative.

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.