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Channel

Библиотека нейровидео | Sora AI, Runway ML, дипфейки

@neurovidos

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

1,874subscribers

-28 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-1002141664061
TypeChannel
Username@neurovidos
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/neurovidos

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 16 September 2026 and assigned it the closest of 31 fixed categories, at 72% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1,8741,9031,888.57 August 2026 — 1,902 subscribers7 August 2026 — 1,902 subscribers7 August 2026 — 1,901 subscribers13 August 2026 — 1,903 subscribers16 August 2026 — 1,900 subscribers20 August 2026 — 1,898 subscribers24 August 2026 — 1,895 subscribers26 August 2026 — 1,890 subscribers29 August 2026 — 1,887 subscribers1 September 2026 — 1,882 subscribers10 September 2026 — 1,879 subscribers13 September 2026 — 1,877 subscribers18 September 2026 — 1,874 subscribers7 August 202618 September 2026
13 measurements spanning 42 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 1,870–1,907 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 07:171,874-3
13 Sept 2026, 19:201,877-2
10 Sept 2026, 06:381,879-3
1 Sept 2026, 19:341,882-5
29 Aug 2026, 15:361,887-3
26 Aug 2026, 20:371,890-5
24 Aug 2026, 04:151,895-3
20 Aug 2026, 03:411,898-2
16 Aug 2026, 21:271,900-3
13 Aug 2026, 17:171,903+2
7 Aug 2026, 18:381,901-1
7 Aug 2026, 15:171,902no change
7 Aug 2026, 12:271,902first reading

Engagement

14 posts held, back to 30 January 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 14 posts for this entry, the most recent from 7 June 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
7m 02s
Average length
47s

Measured directly from 9 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

166 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 39.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6539.2%
🤩2615.7%
👍2313.9%
😁1710.2%
🥰169.64%
🔥116.63%
👏31.81%
💯21.20%
😍21.20%
❤‍🔥10.602%

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 14 of the 14 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 166 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 30 January 2025 to 7 June 2025, 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

7 Jun 2025, 09:38 UTC≈32,900 views18 reactionsread 7 August 2026
Photo

👾 AI-агенты — настоящее, о котором все говорят На днях мы анонсировали наш новый курс «AI-агенты для DS-специалистов». Это продвинутая программа для тех, кто хочет получить прикладной опыт с LLM и решать сложные задачи! На обучении вы соберете полноценные LLM-системы с учетом особенностей доменных областей, получите hands-on навыки RAG, Crew-AI / Autogen / LangGraph и агентов. 🎓В рамках курса вы научитесь: — адап

16👏2

14 Feb 2025, 07:02 UTC≈44,100 views14 reactionsread 7 August 2026

⚡️ Напоминаем про новый канал о нейросетях Мы создали единое пространство для всех, кто интересуется нейросетями — теперь канал Библиотека нейросетей объединяет самые полезные материалы об искусственном интеллекте. Что мы собрали для вас в обновленном канале: 💜 Только рабочие промпты и четкие инструкции для создания текстов, картинок, видео и музыки 💜 Конкретные примеры использования нейросетей в повседневных зад

👍94🥰1

7 Feb 2025, 09:13 UTC≈37,300 views11 reactionsread 7 August 2026

📢 Больше новостей и пользы из мира нейросетей — в нашем новом канале Мы решили объединить все самое полезное про нейросети в одном месте — канале Библиотека нейросетей. Что вас ждёт в обновленном канале: 💜Пошаговые гайды и мощные промпты, которые помогут создавать тексты, картинки, видео и музыку под любые задачи. 💜Больше лайфхаков о том, как нейросети могут помочь в повседневных делах. 💜Регулярные обзоры новых

4🤩3🥰2👍1💯1

7 Feb 2025, 07:03 UTC≈28,300 views15 reactionsread 7 August 2026
Video

🚀 Project Starlight - первая в мире диффузионная модель для восстановления видео С помощью это модели можно будет превратить старые, низкокачественные ролики в потрясающее высокое разрешение. Что нужно знать: ➡️ Новая ИИ-модель с 6 миллиардами параметров – мощный алгоритм для восстановления видео. ➡️ Использует современные видеокарты NVIDIA для лучшей скорости и качества. ➡️ Автоматически улучшает видео – убирае

🤩65🥰3💯1

6 Feb 2025, 18:07 UTC≈20,100 views11 reactionsread 7 August 2026
Video

🤖 GigaChat теперь умеет пересказывать видео В веб-версии GigaChat появилась новая функция – пересказ видеороликов. Теперь можно быстро получать краткое содержание и пересказ с таймкодами по ссылке на российские видеосервисы. Как это работает: 1️⃣ Вставляете ссылку из VK Видео или Rutube 2️⃣ Нажимаете «Пересказать» 3️⃣ Получаете резюме видео + пересказ с таймкодами Попробовать новую фичу 🔗 #новость

5🔥2🥰2❤‍🔥1👍1

5 Feb 2025, 17:54 UTC≈16,700 views13 reactionsread 7 August 2026
Video

🔍 Что будет, если объединить KLING 1.6 + MIDJOURNEY Получится мощный симбиоз кинематографичности и искусственного интеллекта, способный передать энергетику момента с максимальной точностью. KLING 1.6 захватывает движение, эмоции и атмосферу через живые, динамичные кадры, а MidJourney превращает их в цифровое искусство, играя с цветом, текстурой и композицией. ⭐️ Структура промпта Midjorney: Bokeh motion, extreme

7👍2🔥2🤩2

5 Feb 2025, 14:47 UTC≈11,800 views7 reactionsread 7 August 2026
Photo

Swipe right or swipe left Что делать, если твои мэтчи в жизни не такие точные, как твой код? Спокойно, 14 февраля в 19:00 по МСК мы разберём, как ML анализирует speed dating и предсказывает match. 📌 Мы возьмем реальные данные со speed dating. 📌 Обучим модель, которая скажет: match или swipe left. 📌 Разберём, какие признаки реально важны (спойлер: работа в IT — не прям гарантия успеха (наши маркетологи подтвержда

🥰32🤩2

4 Feb 2025, 11:03 UTC≈9,050 views15 reactionsread 7 August 2026
Video

🤔⚡️ Что, если бы судьба повернулась по-другому?

🔥73👍3🥰2

3 Feb 2025, 17:55 UTC≈7,620 views8 reactionsread 7 August 2026
Video

📹 Новая версия от Hailuo - контроль камеры Hailuo представили версию T2V-01, и главная фишка – полный контроль камеры. Теперь можно не просто генерировать видео, а режиссировать сцены, задавая движения камеры с точностью до кадра. Что умеет: ➡️ Управление камерой через текстовые команды. ➡️ Плавные переходы и комбинирование движений. ➡️ Минимум рандома, максимум контроля. ➡️ Улучшенная кинематографичность. Поп

3🥰3🤩2

2 Feb 2025, 18:06 UTC≈6,490 views10 reactionsread 7 August 2026
Video

🤩 Alibaba тайно выпустила Qwen 2.5 Max AI Их новая версия Qwen 2.5 Max AI кардинально меняет представление о генерации видео с помощью ИИ – и что самое крутое, доступна бесплатно. 5 впечатляющих промптов: ➡️ “A cat is batting a ball of yarn with its paws, and the ball is rolling on the ground.“ ➡️ “Lantern selfie. The camera starts with a sky lantern in the night sky, slowly moving down to reveal an ancient-style

7😍2👏1

1 Feb 2025, 10:55 UTC≈7,290 views17 reactionsread 7 August 2026
Video

Думаю все уже наслышаны об успехе китайской нейросети 👍 А что выбираете вы, новый DeepSeek или привычный OpenAI? #memes

😁10🤩32👍2

31 Jan 2025, 11:04 UTC≈3,590 views12 reactionsread 7 August 2026
Video

🤷‍♂️ Юра Борисов в роли всех лысых персонажей Голливуда Сгенерировано в Minimax. Оскар который мы заслужили 🏆 Эксперимент от автора 🔗

😁7🤩5

Showing the 12 most recent of 14 posts we hold for @neurovidos. 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.

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 3 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.

Библиотека питониста | Python, Django, Flask
@pyproglib · 37,384
Telegram ranks this channel #83 of 84 here — alongside 83 others — read 1 September 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Библиотека нейровидео | Sora AI, Runway ML, дипфейки” (@neurovidos), 1,874 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/neurovidos.

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.