Telegram RegisterThe public register of Telegram

Channel

Neurohive

@neurohive

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

4,969subscribers

+15 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-1001358574001
TypeChannel
Username@neurohive
DescriptionНовости нейросетей. Open source модели и методы, AI-агенты, deep learning, big data, machine learning, NLP, computer vision. По вопросам сотрудничества: @kekspeksoh
Created15 February 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/neurohive

Previous handles

Recorded in 2019 as “NeuroHive - Нейронные сети — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

Growth

4,9544,9694,961.56 August 2026 — 4,954 subscribers6 August 2026 — 4,954 subscribers9 August 2026 — 4,959 subscribers11 August 2026 — 4,969 subscribers6 August 202611 August 2026
4 measurements spanning 6 days, net +15. 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 4,952–4,971 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 22:574,969+10
9 Aug 2026, 02:514,959+5
6 Aug 2026, 08:304,954no change
6 Aug 2026, 08:284,954first reading

Engagement

18 posts held, back to 14 April 2026the 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
30.7%
avg views ÷ 4,969 subscribers
Avg views / post
1,530
3 posts measured
Reaction rate
0.896%
reactions ÷ views · ER floor
Posts in window
3
of 18 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 11 August 2026
Posts held18 (14 April 202611 August 2026)
Views total4,578
Reactions total41
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:02 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
316
Videos
76
Links
1,460

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. 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
5m 38s
Average length
42s

Measured directly from 8 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

201 reactions across 17 posts, in 11 distinct kinds. The most used accounts for 41.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥8341.3%
👍6431.8%
2411.9%
❤‍🔥115.47%
👏104.98%
🤣31.49%
20.995%
💯10.498%
🤔10.498%
🤩10.498%
🤯10.498%

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 18 of the 18 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 201reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 14 April 2026 to 11 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.

Advertising

Ad load
11.1%
2 of 18 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
1,920
over 2 measured posts
Median views · rest
2,670
over 16 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqwFqJdw12 July 20262 July 2026
2Vtzqwcao6q129 June 202629 June 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 18 most recent posts we hold, published 14 April 2026 to 11 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

11 Aug 2026, 10:58 UTC378 views11 reactionsread 12 August 2026
Video

JoyAI-Video-Edit: 16B-модель редактирует видео в реальном времени при 30 FPS в 720p на одной B200 Команда Joy Future Academy представила JoyAI-Video-Edit — открытую авторегрессионную диффузионную модель на 16B параметров для редактирования видео в реальном времени. Модель обрабатывает кадры по текстовому промпту по мере их поступления, без доступа к будущим кадрам и не зная длину ролика. Полный сквозной пайплайн выд

🔥9👍1👏1

3 Aug 2026, 10:06 UTC≈1,460 views11 reactionsread 12 August 2026
Video

TurboVLA: робот получает команды в разы быстрее при 97% успешных выполнений благодаря замене LLM на BERT Исследователи из Хуачжунского университета науки и технологий и Huawei опубликовали TurboVLA - компактную vision-language-action модель, которая выдаёт действия для робота за 31.2 мс на RTX 4090 и набирает 97.7% на бенчмарке для роботов LIBERO. Главное отличие от других VLA в том, что внутри нет LLM. Вместо неё л

👍4🔥3👏211

22 Jul 2026, 12:44 UTC≈2,740 views19 reactionsread 12 August 2026
Video

🗜Bonsai: 1-bit версия Qwen 27B работает на iPhone c сохранением 90% качества ответов Стартап PrismML выпустил Bonsai 27B — бинарную и тернарную версии Qwen3.6-27B, которые сохраняют 90–95% качества исходной модели при сжатии весов в 9.4–14.2 раза. Тернарная версия занимает 5.9 ГБ и работает на ноутбуке (M5 Pro) со скоростью около 26 токенов в секунду, а 1-битная умещается в 3.9 ГБ и генерирует около 11 токенов в сек

7👍7🔥4👏1

8 Jul 2026, 11:23 UTC≈5,200 views14 reactionsread 12 August 2026
Video

🎮 MIRA: нейросеть полностью симулирует Rocket League для четырёх игроков в 20 FPS, не требуя установки игры General Intuition, Kyutai и Epic Games представили MIRA — мировую модель, которая полностью симулирует игровую среду Rocket League сразу для четырёх игроков и рисует каждому свою картинку в реальном времени. Движка игры внутри нет вообще. Ни физического движка, который считает столкновения мяча и машин, ни рен

🔥92👍2🤩1

2 Jul 2026, 09:05 UTC≈4,080 views1 reactionsread 12 August 2026
Advertisementerid 2VtzqwFqJdwPhoto

⚡Выбирать железо для обучения и инференса моделей больше не нужно Qwen, Whisper, Deepseek и другие нейросети уже готовы к работе на приватной инфраструктуре. Просто выбираете нужную модель и получаете готовый инференс-сервис в пару кликов в Selectel. Каталог ИИ-моделей Selectel — удобный инструмент для работы с нейросетями, когда нужны безопасность и производительность. Что вы получаете в пару кликов: ⚡Большой вы

1

1 Jul 2026, 15:08 UTC≈3,360 views5 reactionsread 12 August 2026
Photo

Claude Sonnet 5: сильный агентный апгрейд, но не очевидная замена Opus Anthropic представила Claude Sonnet 5 — новую модель из линейки Claude, доступную в том числе пользователям бесплатного тарифа. Она ориентирована на агентные задачи, программирование, работу с инструментами и корпоративную автоматизацию. По данным Artificial Analysis, Sonnet 5 набрала 53 балла в Intelligence Index и стала моделью №5 в рейтинге по

👍31❤‍🔥1

30 Jun 2026, 07:51 UTC≈2,540 views13 reactionsread 12 August 2026
Video

LFM2.5-230M: ультракомпактная модель работает на Raspberry Pi и почти любом современном телефоне Команда Liquid AI выпустила LFM2.5-230M — одну из самых маленьких языковых моделей на сегодня, всего на 230 миллионов параметров. Модели хватает 293 МБ памяти на Raspberry Pi 5 и 375 МБ на смартфоне. На Raspberry Pi 5 модель выдаёт 42 токена в секунду при декодировании, а на флагмане Galaxy S25 Ultra разгоняется до 213 т

❤‍🔥43👍3🔥3

29 Jun 2026, 08:04 UTC≈1,920 views0 reactionsread 12 August 2026
Advertisementerid 2Vtzqwcao6qPhoto

Выбираем железо для обучения и инференса моделей 🔝 Простая формула: чем больше у модели параметров, тем более мощное железо нужно для ее инференса. Найти решение для нейросетей разного масштаба можно в Selectel. Более 15 моделей видеокарт — от RTX 4090 до B300 — доступны к аренде в облаке и на выделенных серверах. Облачные серверы подойдут для тех, кому нужна гибкость и быстрая масштабируемость, а выделенные — когд

19 Jun 2026, 06:05 UTC≈2,730 views10 reactionsread 12 August 2026
Video

DreamX-World-5B: открытая модель генерации мира с контролем камеры, текстовым управлением и запоминанием локаций Команда AMAP-ML опубликовала DreamX-World 1.0 — интерактивную генеративную модель мира, которая превращает текст или изображение в управляемое видео с точным контролем камеры, памятью о ранее посещённых сценах и поддержкой добавления событий по текстовым промптам. Модель работает в фотореалистичных, игров

4👍4🔥1🤔1

16 Jun 2026, 12:24 UTC≈2,670 views18 reactionsread 12 August 2026
Photo

🤔 VibeThinker: 3B-модель рассуждает и кодит на уровне DeepSeek V3.2, GLM-5 и Gemini 3 Pro Команда Sina Weibo AI опубликовала VibeThinker-3B — компактную языковую модель, которая на задачах математики и программирования показывает результаты уровня флагманских моделей DeepSeek V3.2, GLM-5 и Gemini 3 Pro, при этом уступая им в размере в 200+ раз. Код и веса модели опубликованы на Github и HuggingFace. Авторы сформули

🔥10👍3👏32

4 Jun 2026, 13:24 UTC≈2,670 views22 reactionsread 12 August 2026
Video

ESM Cambrian: модель для предсказания и дизайна белков превзошла AlphaFold3 от Google и построила крупнейший атлас белкового мира Команда исследователей из Biohub представила ESM Cambrian (ESMC) — открытую языковую модель для предсказания и дизайна белков, которая обошла AlphaFold3 от Google по точности предсказания структур белка. Модель построила атлас из 6,8 миллиарда белковых последовательностей — готовую базу д

🔥11❤‍🔥5👍31👏1🤯1

28 May 2026, 10:42 UTC≈3,740 views10 reactionsread 12 August 2026
Video

LLaVA-OneVision-2-8B: мультимодальная модель анализирует видеопоток через кодек вместо нарезки кадров Исследователи из Glint Lab, AIM for Health Lab и MVP Lab опубликовали LLaVA-OneVision-2 — мультимодальную модель нового поколения, которая переосмысливает то, как нейросеть «смотрит» видео. Вместо того чтобы нарезать видео на равномерные кадры, модель анализирует сжатый видеопоток через кодек. Большинство моделей п

🔥7👍3

Showing the 12 most recent of 18 posts we hold for @neurohive. 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 — 462,472 of 1,340,412entries 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 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.

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

“Neurohive” (@neurohive), 4,969 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/neurohive.

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.