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Channel
AI4Dev — AI for Development
@LLM4dev
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,281subscribers
-12 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002137209948 |
|---|---|
| Type | Channel |
| Username | @LLM4dev |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/LLM4dev |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 13:16 | 5,281 | -6 |
| 9 Aug 2026, 22:21 | 5,287 | -5 |
| 7 Aug 2026, 01:07 | 5,292 | -1 |
| 6 Aug 2026, 20:15 | 5,293 | no change |
| 6 Aug 2026, 20:06 | 5,293 | first reading |
Engagement
20 posts held, back to 9 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 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 29.3%
- avg views ÷ 5,281 subscribers
- Avg views / post
- 1,550
- 13 posts measured
- Reaction rate
- 0.616%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 20 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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (9 July 2026 – 6 August 2026) |
| Views total | 20,117 |
| Reactions total | 124 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:31 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
- Video runtime
- 3h 31m
- Average length
- 1h 10m
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
153 reactions across 16 posts, in 10 distinct kinds. The most used accounts for 41.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 63 | 41.2% | |
| 🔥 | 49 | 32.0% | |
| ❤ | 15 | 9.80% | |
| 🤔 | 9 | 5.88% | |
| 🤡 | 6 | 3.92% | |
| ⚡ | 3 | 1.96% | |
| 💩 | 3 | 1.96% | |
| 😁 | 3 | 1.96% | |
| 👀 | 1 | 0.654% | |
| 🙏 | 1 | 0.654% |
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 153reactions 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 9 July 2026 to 6 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
Live stream started
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🤔 Какова вероятность выживания человечества в эпоху суперинтеллекта? Исследователь Элиезер Юдковский и президент MIRI Нейт Соарес изложили свой прогноз в книге, которая вышла на русском языке под названием «Если кто-то его создаст — все погибнут. Почему сверхчеловеческий ИИ уничтожит нас всех». Доктор технических наук Владимир Крылов обосновал возможность куда более оптимистичного варианта развития событий. Он осно…
❤3🔥2🤔1🤡1
🤖 AI-агент с нуля: создаем Memory В прошлый раз мы подключили агента к реальному миру через MCP — и теперь у него есть инструменты. Но каждый новый разговор он начинает с чистого листа. Разберём, почему «просто передавай всю историю» — это тупик сразу в трёх местах: токены дорожают экспоненциально, данные исчезают при перезапуске, а сама модель начинает галлюцинировать из-за эффекта Lost in the Middle. И покажем, к…
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💥 Агентская фабрика на CI: автоматизируем весь цикл разработки Лёша Берёзка, техлид iOS в "Додо Пицце" и автор канала о разработке, показал онлайн, как построить «фабрику» агентов в CI‑пайплайне — систему, которая самостоятельно закрывает полный цикл от создания issue до влития Pull Request. В эфире: ➡️ Как организовать оркестрацию нескольких агентов и обеспечить их согласованную работу? ➡️ Как фабрика автоматическ…
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RSI: математика сингулярности Разбираем одну из самых дискуссионных тем в IT-сообществе — рекурсивное самосовершенствование искусственного интеллекта (RSI). Сможет ли ИИ бесконечно улучшать собственный код и архитектуру? Или алгоритмы ждет неминуемый «коллапс» при обучении на собственных синтетических данных? Рассказывает доктор технических наук Владимир Крылов. 🎥 Запись доступна здесь и на других площадках: YouTu…
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Anthropic добавила в Claude Code Desktop панель iOS Simulator. Запускается стандартный симулятор Apple из Xcode, а Claude управляет им напрямую: собирает приложение, тапает по экранам, читает результат и по кругу, пока не решит задачу. Можно тапать и самому параллельно, устройство общее. Работает без computer use, разрешения macOS на Accessibility и Screen Recording не нужны. У каждой параллельной сессии свои симул…
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Индустрия спорит на языке миллиардов долларов и терафлопсов. Но у развития больших языковых моделей есть пределы, которые не двигаются ни деньгами, ни железом — они заданы геометрией данных, теорией вычислительной сложности и теорией информации. Наш гость Александр Пономаренко —соавтор алгоритмов NSW и HNSW, на которых работает большинство векторных баз данных, а значит и внешняя память почти любой современной ИИ-си…
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T-Search — открытый агент для сложного многошагового поиска на базе Qwen3.6-35B-A3B, обученный полностью на синтетике. Один из немногих релизов, заточенных под поиск именно в русскоязычных источниках. Модель не пишет ответ, а отдаёт ранжированный список evidence-чанков, дальнейшую генерацию доверяете любой модели под свой продукт. Выложили всё: веса, харнесс отдельным репозиторием и два бенчмарка, включая TRuST — руч…
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Британский AI Security Institute (государственный институт безопасности ИИ) опубликовал замеры разрыва между открытыми и закрытыми моделями в хакерских навыках. GLM-5.2 показывает уровень Opus 4.6 на отдельных задачах (эксплуатация уязвимостей, реверс, крипто) и Opus 4.5 на автономных многошаговых атаках в симулированных сетях. Итого текущий лаг — 4–7 месяцев. В 2025-м было 6–10. Закрытую модель провайдер может монит…
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Moonshot выпустили Kimi K3, 57 баллов в Artificial Analysis Intelligence Index. Выше только Claude Fable 5 (60) и GPT-5.6 Sol (59). Opus 4.8 с его 56 остался позади. Что интересно в цифрах: — На GDPval (реальные рабочие задачи) 1668 Elo, третье место после Fable 5 и Sol — На AA-Briefcase (длинные многошаговые задачи) вообще второе место, обошёл Sol. По качеству аналитики практически паритет с Fable 5: 1760 против 1…
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Showing the 12 most recent of 20 posts we hold for @LLM4dev. 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 — 152,111 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.
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 2 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.
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.
“AI4Dev — AI for Development” (@LLM4dev), 5,281 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/LLM4dev.
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.