Telegram RegisterThe public register of Telegram

Channel

Complete AI

@complete_ai

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,791subscribers

+2 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-1001788250664
TypeChannel
Username@complete_ai
DescriptionМеня зовут Андрей Кузнецов Руковожу управлением в Sber AI, построил успешную лабораторию FusionBrain в AIRI, один из основателей Kandinsky, к.т.н., 15+ лет опыта в Computer Vision, выступаю с лекциями и пишу о событиях в AI и ML
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 live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/complete_ai

Growth

7,7857,7917,7886 August 2026 — 7,789 subscribers7 August 2026 — 7,785 subscribers10 August 2026 — 7,791 subscribers6 August 202610 August 2026
3 measurements spanning 3 days, net +2. 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 7,784–7,792 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 08:007,791+6
7 Aug 2026, 07:397,785-4
6 Aug 2026, 23:167,789first reading

Engagement

19 posts held, back to 7 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 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.3%
avg views ÷ 7,791 subscribers
Avg views / post
2,280
18 posts measured
Reaction rate
1.33%
reactions ÷ views · ER floor
Posts in window
18
of 19 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 held19 (7 July 202612 August 2026)
Views total41,060
Reactions total545
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:08 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
513
Videos
38
Links
284

Lifetime counters from Telegram’s own channel header, read 12 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.

Reaction mix

576 reactions across 19 posts, in 17 distinct kinds. The most used accounts for 35.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥20735.9%
14725.5%
👍478.16%
❤‍🔥366.25%
🏆345.90%
😁325.56%
🎉132.26%
🙊122.08%
111.91%
💯111.91%
🙏111.91%
👏81.39%
👀30.521%
🆒10.174%
🌚10.174%
😱10.174%
🦄10.174%

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 19 of the 19 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 576reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 7 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, 13:02 UTC≈1,130 views36 reactionsread 12 August 2026

🐍 Сегодня мы выпустили ГигаАгента Расскажу, что мы построили и почему это важно. ГигаАгент — это автономный универсальный ИИ-агент на базе Ouroboros, который переписывает свой собственный код через reviewed self-evolution. Буквально: редактирует рантайм, коммитит через multi-model review gate, рестартится на новой версии. Если сломался — откатывается. Если совсем плохо — /panic. Это результат синергии, которая ред

🔥217🙊3❤‍🔥2👍1🦄1😱1

11 Aug 2026, 10:37 UTC≈2,790 views24 reactionsread 12 August 2026

⚡️ Диффузионные языковые модели: что в них работает, а что вызывает вопросы Выложили большой разбор dLLM — результат совместной работы нескольких команд: «Интерпретируемый ИИ» лаборатории FusionBrain, «Основы генеративного ИИ» Института AIRI (@Ivan_Oseledets) и «Генеративная поэзия» Сергея Маркова (@oulenspiegel_channel) SberAI. tldr: год возились с диффузионными языковыми моделями — воспроизводили чужие методы, об

20👍2🔥2

7 Aug 2026, 05:30 UTC≈2,060 views43 reactionsread 12 August 2026
Photo

Alibaba, что ты делаешь? Прекрати! 12.08 нас ждёт большой залив весов в опенсурсе. Приятно, что для простых смертных дают дистиллированную версию на 27B параметров💪

🔥328👀3

6 Aug 2026, 15:12 UTC≈1,680 views39 reactionsread 12 August 2026
Forwarded from @timeforcvPhoto

Курс по Visual GenAI от Yandex Research и ШАД Авторы CV Time не только пишут обзоры статей о компьютерном зрении, но и создают обучающие курсы. Сегодня делимся курсом ШАДа «Генеративные модели в компьютерном зрении», который ведёт Дмитрий Баранчук, руководитель группы GenAI в Yandex Research, вместе с праймовой командой исследователей в этой области. Будет полезно тем, у кого есть базовые знания по генеративкам и

22🔥9❤‍🔥8

6 Aug 2026, 12:22 UTC≈1,730 views13 reactionsread 12 August 2026
Forwarded from @kulibinai

https://x.com/HuggingApps/status/2085283988524937463 HuggingFace еще сделали красивую визуализацию CADENA для поста в твиттере

🔥9👍3🌚1

5 Aug 2026, 12:10 UTC≈1,940 views19 reactionsread 12 August 2026
Photo

Отличный результат для опенсурса на бенчмарке по восстановлению кода frontend’а по изображению или скриншоту💪 Сделал скрипт парсинга сайта, прошелся по страницам, заскриншотил и велкам - копия сайта уже готова:)

👍10🔥6😁3

4 Aug 2026, 14:28 UTC≈1,660 views34 reactionsread 12 August 2026
Video

⚡️CADENA: Stepwise CAD Reverse Engineering Новое решение от Лаборатории FusionBrain, группы Пространственного интеллекта Института AIRI и команды Sber AI 🚀 Релиз в нашей линейке моделей для реверс-инжиниринга деталей! tldr: Перешли на пошаговое предсказание — модель стала гибче, качество выросло, и чем сложнее датасет, тем больше отрыв. Плюс собрали CADENA-Bench: 3396 реальных механических деталей, разбитых по кате

❤‍🔥19🏆8👍5🔥2

3 Aug 2026, 06:44 UTC≈2,170 views27 reactionsread 12 August 2026
Photo

Ну вот и Qwen 3.8 пожаловал💪 — Автономный кодинг: более 10 дней саморазвивающейся разработки - от пустой папки до готового к эксплуатации продукта без вмешательства человека; полная история проекта доступна на GitHub: https://github.com/qwen-code-dev-bot/oh-my-cli — Работает в пром задачах: готовые решения production уровня для сотен задач — Высокий уровень долгосрочного планирования: автономное планирование на си

🏆1710

31 Jul 2026, 19:52 UTC≈1,650 views42 reactionsread 12 August 2026
Forwarded from @abstractDLPhoto

Ouroboros теперь SOTA на Terminal Bench, OSWorld и CL-bench Мой любимый агентный луп на чистом питоне доэволюционорал до состояния лучшего харнесса для кодинга! На главных бенчмарках он теперь обходит Codex, Claude code, Cursor и Hermes. Выходит, что в рисёрче, в computer use, в работе через терминал и в задачах на кодинг — уроборос сейчас является лучшим агентом. Так что с этого момента всю разработку и исследован

🔥17🎉13👏821👍1

28 Jul 2026, 20:20 UTC≈2,520 views14 reactionsread 12 August 2026

Вдруг вчера кому-то было мало инсайтов про K3, предлагаю ещё такой коротенький почитать😉 https://sebastianraschka.com/blog/2026/kimi-k3-architecture-notes.html

12👍2

28 Jul 2026, 17:01 UTC≈2,710 views31 reactionsread 12 August 2026

🤖 Ищем менеджера проектов в ИИ-стройку Мы — SberAI, команда, которая строит будущее строительства с помощью искусственного интеллекта. Совмещаем исследования и реальное применение: автоматизируем анализ и составление строительной документации, извлекаем данные из BIM-моделей, создаём генеративные решения для архитектуры и дизайна. Ищем человека, который сведёт воедино науку, продукт и стройку. Чем предстоит занимат

12🙊9🔥6👍2😁2

27 Jul 2026, 17:11 UTC≈2,220 views17 reactionsread 12 August 2026

Интегрально инсайты из K3: 2.78Т параметров, 896 экспертов, 1M контекст. Под капотом — системная оптимизация на каждом уровне стека: 1️⃣ SiTU-GLU — замена SwiGLU с мягким насыщением активаций. Именно это позволило безопасно масштабировать sparsity до 56× (16 из 896 экспертов). Без этого приёма модель бы просто взорвалась 2️⃣ Quantile Balancing — балансировка нагрузки экспертов за один forward pass через квантили. П

🔥13💯3🏆1

Showing the 12 most recent of 19 posts we hold for @complete_ai. 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 — 126,767 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

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.

Mentions

Named by 8 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.

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 #16 of 95 here — alongside 94 others — read 10 August 2026
GigaChat
@official_gigachat · 311,396
Telegram ranks this channel #28 of 92 here — alongside 91 others — read 10 August 2026
XOR
@xor_journal · 158,763
Telegram ranks this channel #39 of 93 here — alongside 92 others — read 12 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Complete AI” (@complete_ai), 7,791 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/complete_ai.

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.