⚡️ Google выкатила Gemini 4 Hydrogen. И вот это уже интересно! Пока все обсуждали мощные Carbon и Argon, Google представила ещё одну модель из семейства Gemini 4. Только здесь ставка на скорость. 🚀 Что интересного: 🪼 Работает до 2,5 раза быстрее Gemini 3.8 Flash, по заявлению Google. 🪼 Получила 4 уровня мышления: Low, Medium, High и xHigh. Можно выбирать между быстрым ответом и более глубоким анализом. 🪼 Умеет раб…

Channel
Антон Фомин | про ИИ AI
@TehnoAI
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
9,354subscribers
+334 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001684955478 |
|---|---|
| Type | Channel |
| Username | @TehnoAI |
| Description | Ваш гид в мире передовых технологий и полезных советов для улучшения жизни! ▪️Знаю всё про технологии, нейросети и инновации ▪️ Расширу ваши знания и навыки ▪️ Внедряю ИИ в бизнес и увеличиваю 💸 Нужна консультация, пиши @fominlive |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/TehnoAI |
Topic
Technology — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 01:37 | 9,354 | -20 |
| 7 Nov 2026, 07:46 | 9,374 | -13 |
| 4 Nov 2026, 15:07 | 9,387 | -19 |
| 1 Nov 2026, 07:10 | 9,406 | -13 |
| 28 Oct 2026, 20:28 | 9,419 | -4 |
| 26 Oct 2026, 04:09 | 9,423 | +1 |
| 23 Oct 2026, 09:27 | 9,422 | -20 |
| 20 Oct 2026, 00:49 | 9,442 | -20 |
| 16 Oct 2026, 17:44 | 9,462 | -17 |
| 13 Oct 2026, 22:37 | 9,479 | -16 |
| 8 Oct 2026, 08:58 | 9,495 | -15 |
| 2 Oct 2026, 01:19 | 9,510 | -34 |
| 16 Sept 2026, 09:19 | 9,544 | +6 |
| 13 Sept 2026, 00:41 | 9,538 | +15 |
| 9 Sept 2026, 02:41 | 9,523 | +94 |
| 4 Sept 2026, 01:55 | 9,429 | +91 |
| 31 Aug 2026, 09:53 | 9,338 | +145 |
| 28 Aug 2026, 09:03 | 9,193 | +49 |
| 25 Aug 2026, 01:03 | 9,144 | +74 |
| 21 Aug 2026, 04:53 | 9,070 | first reading |
Engagement
100 posts held, back to 4 August 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 50 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.36%
- avg views ÷ 9,354 subscribers
- Avg views / post
- 689
- 34 posts measured
- Reaction rate
- 0.511%
- reactions ÷ views · ER floor
- Posts in window
- 36
- of 100 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. It is computed over the 28 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 100 (4 August 2026 – 12 November 2026) |
| Views total | 23,416 |
| Reactions total | 101 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 00:00 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
- ≈1,320
- Videos
- ≈1,750
- Links
- ≈1,420
Lifetime counters from Telegram’s own channel header, read 13 November 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
- 55m 02s
- Average length
- 52s
Measured directly from 64 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
375 reactions across 80 posts, in 12 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 150 | 40.0% | |
| 🔥 | 93 | 24.8% | |
| 👍 | 86 | 22.9% | |
| 😁 | 25 | 6.67% | |
| 💯 | 5 | 1.33% | |
| 👀 | 4 | 1.07% | |
| 👌 | 4 | 1.07% | |
| ❤🔥 | 2 | 0.533% | |
| 👎 | 2 | 0.533% | |
| 😍 | 2 | 0.533% | |
| 🎉 | 1 | 0.267% | |
| 🤔 | 1 | 0.267% |
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 85 of the 100 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 375 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 100 most recent posts we hold, published 4 August 2026 to 12 November 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
Telegram’s own ‘edited’ marker: 10 of 36 posts held from the last 30 days (27.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🔥 Сделал общую память для ChatGPT и своих AI-агентов. Теперь они работают с одним контекстом! Думаю, многие сталкивались с такой проблемой. Обсуждаешь проект с ChatGPT, расписываешь задачи, придумываешь решения. Потом открываешь другого AI-агента и начинаешь объяснять всё заново 😅 Мне это надоело, поэтому решил связать своих агентов через общую память. Как это работает у меня: Допустим, я еду куда-нибудь и обсужд…
👍3❤1
🧠 Наконец-то нейросеть, которая не будет постоянно говорить, какой ты молодец 😂 Трейдинговая компания Jane Street выложила на GitHub интересный скилл Socratic Tutor, который превращает Claude Code в персонального репетитора. Причём халявных ответов больше не будет! Как это работает: 🪼Сначала ИИ проверяет, что ты уже знаешь, и составляет карту навыков с уровнями от 0 до 5. 🪼 Затем начинает задавать вопросы по одно…
🔥1
🔥 Google против Anthropic: кто теперь король нейросетей? Google, кажется, решил больше никому не отдавать рынок AI 😅 Не успели все обсудить Gemini 4 Carbon, как Anthropic выкатила Claude Fable 5.2. И теперь в бенчмарках настоящая заруба! Смотрите, что получается: 🧠 Общий интеллект: Claude впереди — 65 против 60 баллов. 💻 Программирование: Fable набирает 69,9% против 61,2% у Carbon на FrontierSWE v2. 🤖 Управление …
🔥 Создал 3D-персонажа нейросетью? Теперь его можно оживить Ещё одна интересная находка - MetaWrap. Особенно для тех, кто генерирует 3D-персонажей с помощью нейросетей. Проблема в том, что красивая 3D-модель ещё не означает, что её можно нормально анимировать. Часто приходится вручную переделывать сетку персонажа. А тут появился аддон для Blender, который подгоняет голову и тело персонажа под стандартную топологию …
Наконец то появился Gemini Carbon. Погнал тестировать 🙃
🔥1
🔥 Китайцы представили Seedream 5.5. И тут есть кое-что интереснее обычной генерации картинок. ByteDance обещает, что теперь одно изображение можно редактировать до 100 раз подряд, не превращая его постепенно в кашу. Например, меняешь одежду персонажа, потом фон, освещение, добавляешь предметы — а всё остальное должно оставаться на месте. Что ещё прокачали: 🟣 Точечное редактирование. Нейросеть лучше сохраняет дета…
🔥 Higgsfield, подвинься! Появился бесплатный аналог со 117 готовыми AI-инструментами. Разработчики выкатили Freefield - открытый проект на базе ComfyUI, где собрали целую студию для генерации фото, видео, звука и спецэффектов. И самое интересное - всё можно запускать на своём компьютере, без ежемесячных подписок и покупки кредитов. Что внутри: 🪼 Генерация изображений и видео 🪼 Замена лиц, анимация и VFX 🪼 Апскейл …
❤3
😮 Клонируем голос по короткой записи — и да, на русском тоже! Обновилась VoxCPM2 — мощная нейросеть для озвучки, которую можно бесплатно запустить на своём компьютере. Что умеет эта штука: 🎙 Клонирует голос по короткому аудиофрагменту. Загружаем запись, пишем текст - получаем озвучку похожим голосом. 🔥 Поддерживает 30 языков, включая русский! 🎭 Можно управлять эмоциями, темпом и характером речи обычным текстовым з…
🎥🎥 15 движений камеры с помощью AI + готовые промпты Одна фотография, один человек, одна локация. Меняем только движение камеры — и получаем 15 совершенно разных кадров. Собрал все промпты в один файл, чтобы можно было повторить. Открываем AI-генераторе видео CoreMind, загружаете изображение, вставляете промпт и запускаете генерацию. Все 15 промптов оставлю ТУТ
❤3🔥3
🍿 Claude Code теперь может собирать целые фильмы по одному промпту На GitHub появился Cinecode - бесплатный инструмент, который превращает текстовую идею в готовое видео. И самое интересное: он не генерирует каждый кадр привычным способом, а буквально пишет фильм кодом. Что умеет: 🎬 Придумывает сценарий и разбивает его на сцены. 🎨 Создаёт 2D- и 3D-анимацию с движением камеры. 🔊 Добавляет музыку, звуковые эффекты …
❤5
ИИ-видеопроизводство, похоже, сильно изменится. Higgsfield представила «Miracle». Существующие видео разбиваются на слои, указанные места редактируются в реальном времени на уровне пикселей. Система также сохраняет информацию о глубине для каждого кадра. Раньше для исправления части видео требовалось множество процессов. Эта технология может значительно сократить эти этапы.
🔥1
Showing the 12 most recent of 100 posts we hold for @TehnoAI. 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.
Posts edited after publishing
@TehnoAI edited 6 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 9 August 2026
- Most recent edit
- 25 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“Антон Фомин | про ИИ AI” (@TehnoAI), 9,354 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/TehnoAI.
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.