Про MiniMax Code #ОтвечуЗаИИ 💠 MiniMax Code — это ИИ-агент, разработанный для работы на локальном компьютере, который решает одну из главных проблем современных нейросетей — их склонность к дезинформации. 💡 В нём реализован механизм контроля, где второй ИИ («контролёр») следит за работой первого. Если основной агент допускает ошибку или предоставляет устаревшие данные, контролёр ловит его на этом и отправляет задач…

Channel
Кто ответит за ИИ перед HR?
@useAIforHR
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4,543subscribers
-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 | -1002148378101 |
|---|---|
| Type | Channel |
| Username | @useAIforHR |
| Description | Всё про ИИ для HR и немного больше Канал для HR, кто хочет разобраться в применении ИИ для решения задач - стратегических и рутинных Прислать пост или задать вопрос про рекламу: https://t.me/AdmTG2023 Автор идеи: @NataliaVolodina15 |
| Created | Between 1 April 2024 and 31 October 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 | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/useAIforHR |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 00:42 | 4,543 | -6 |
| 8 Aug 2026, 23:51 | 4,549 | -6 |
| 6 Aug 2026, 09:22 | 4,555 | no change |
| 6 Aug 2026, 05:36 | 4,555 | first reading |
Engagement
23 posts held, back to 26 June 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 7 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.92%
- avg views ÷ 4,543 subscribers
- Avg views / post
- 269
- 13 posts measured
- Reaction rate
- 4.50%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 23 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 12 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 23 (26 June 2026 – 12 August 2026) |
| Views total | 3,497 |
| Reactions total | 156 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 07:00 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
- 262
- Videos
- 80
- Links
- 398
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.
- Video runtime
- 1m 47s
- Average length
- 54s
Measured directly from 2 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
272 reactions across 21 posts, in 13 distinct kinds. The most used accounts for 29.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 79 | 29.0% | |
| 🔥 | 59 | 21.7% | |
| ❤ | 57 | 21.0% | |
| 💯 | 32 | 11.8% | |
| 😁 | 22 | 8.09% | |
| ❤🔥 | 6 | 2.21% | |
| 👏 | 5 | 1.84% | |
| 🤣 | 5 | 1.84% | |
| ⚡ | 3 | 1.10% | |
| 🤓 | 1 | 0.368% | |
| 🤔 | 1 | 0.368% | |
| 🥰 | 1 | 0.368% | |
| 🦄 | 1 | 0.368% |
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 22 of the 23 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 285reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 26 June 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
📄 pdf-inspector от Firecrawl #ОтвечуЗаИИ ➡️ Инструмент для быстрой обработки PDF. Он определяет, что перед ним: обычный PDF с текстом, скан, изображения или смешанный документ. Затем может извлечь текст с сохранением структуры, распознать таблицы, колонки, заголовки и списки и преобразовать результат в Markdown. ➡️ Работает локально, без OCR и внешних сервисов для текстовых PDF. Есть версии для Rust, Python, Node.j…
👍5🔥2
От цифровых аватаров к физическим копиям Компания UBTech выпустила серию гуманоидных роботов Uldor U1, и, честно говоря, они выглядят почти пугающе живыми. 👩🦰 У них трёхслойная искусственная кожа, с венами и морщинками, они тёплые на ощупь. 🧠 Эти андроиды умеют передавать очень тонкую человеческую мимику и, с помощью продвинутого искусственного интеллекта, распознают эмоции собеседника. Они могут заговорить первы…
❤5🔥3⚡2❤🔥2
PromptCard — Image to Prompt AI 🖌 Расширение для Chrome, которое превращает любое изображение в детальный текстовый промпт для AI-генераторов картинок (Midjourney, Stable Diffusion и т.п.). 🎨 Кликаете правой кнопкой мыши на любую картинку в вебе или выделяете область экрана скриншотом, PromptCard генерирует промпт, по которому можно воссоздать изображение. 🎨 Описывает изображение по составу, стилю, освещению, цв…
❤7👍2❤🔥1🔥1🦄1
Робот с физическими ограничениями Satyress Robotics разрабатывает робота-кентавра для дистанционной работы в опасных условиях: на лесозаготовках, стройках, промышленных объектах и в других местах, где риск для человека слишком высок. Из интересного: 🐅 человеческий торс на четырёхногом шасси для большей устойчивости; 🐅 быстросъёмные крепления вместо кистей, чтобы подключать инструмент напрямую; 🐅 питание навесного …
👍7❤2🔥2❤🔥1
#пятничное @UseAIForHR
😁10👍2🔥2🤣1
Наш читатель прислал в редакцию свой отзыв об изменениях в поиске Google, о которых мы писали выше. 🌿🌿🌿🌿 Как ИИ портит Google. Взгляд учёного. Я пользуюсь поисковиком Google с момента его появления. Он оказался самым удобным по сравнению с конкурентами для поиска научных статей по узким темам. Перебирая и уточняя слова для поиска можно было за 10-20 мин выбрать все опубликованные в мире к настоящему времени статьи…
❤6💯3🔥3👍1🤓1
ИИ в рекрутинге: поиск кандидатов по описанию вакансии #ОтвечуЗаИИ Автор: Элина Куэста, сооснователь и СЕО iRecommendWork Поиск кандидатов на hh — это отдельный профессиональный навык. Недостаточно понимать, кто нужен бизнесу. Нужно ещё перевести запрос нанимающего менеджера в фильтры, ключевые слова и конструкцию булевого поиска. На стандартной вакансии это несложно, а с редким или противоречивым профилем поиск мо…
👍8❤6🔥4🤔1
#пятничное @UseAIForHR
💯8👍3😁2🤣1
Бот, ищущий работу вместо человека #ОтвечуЗаИИ HH-AI-agent автоматизирует: 👉 поиск вакансий, 👉фильтрацию предложений по заданным параметрам, 👉 рассылку сопроводительных писем. 📝 Тексты откликов формирует локальная нейросеть Llama 3 через Ollama, опираясь на описание вакансии и данные резюме. 🦾 Техническая часть включает использование Playwright для обхода систем защиты и Telegram-бота для получения отчётов и сообщ…
👍4🔥4💯3❤2👏1
Обход нехватки данных в развитии ИИ #НовостиИИ Вышел доклад от основателя Moonshot AI — компании, создавшей нейросети Kimi. 🗺 Это подробная дорожная карта, как обойти «стену данных», с которой столкнулась вся индустрия ИИ. 💻 В докладе описывается переход от увеличения количества серверов к качественному изменению «мозгов» нейросети по четырём ключевым направлениям: 1⃣ Оптимизатор Muon, позволяет модели извлекать …
❤4🔥4❤🔥2👍2👏1
#пятничное @UseAIForHR
👍6🔥4😁2❤1
Showing the 12 most recent of 23 posts we hold for @useAIforHR. 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 — 1,121,607 of 1,345,403entries 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Кто ответит за ИИ перед HR?” (@useAIforHR), 4,543 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/useAIforHR.
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.