📊 Немножко свежей аналитики по рынку труда США, и снова она не подтверждает ничего из апокалипсических тезисов ИИ-скептиков (или, правильнее, ИИ-бояк?) Основной вывод сформулирован коротко: Employers expect more productivity from workers using AI: 57% of employers say they expect more productivity from their workforce because of AI. Остальное так или иначе из этого тезиса вытекает: если безработица кому и угрожает, т…

Channel
ДенИИс | Автоматизация: Драйвер Прибыли и Роста
@NeuroFutures
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
624subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001619448481 |
|---|---|
| Type | Channel |
| Username | @NeuroFutures |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/NeuroFutures |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 10:13 | 624 | +1 |
| 16 Aug 2026, 14:43 | 623 | -1 |
| 8 Aug 2026, 03:01 | 624 | no change |
| 7 Aug 2026, 17:10 | 624 | first reading |
Engagement
19 posts held, back to 7 July 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 10.2%
- avg views ÷ 624 subscribers
- Avg views / post
- 63.8
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- 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.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 19 (7 July 2026 – 4 August 2026) |
| Views total | 255 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:01 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
- Video runtime
- 9s
- Average length
- 9s
Measured directly from 1 video 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
9 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 7 | 77.8% | |
| ❤ | 1 | 11.1% | |
| 👍 | 1 | 11.1% |
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 6 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 9reactions 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 4 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
👑 Царь экономил на мозгах Жил-был царь-бизнесмен. Владел он заводом, складом, отделом продаж и кабинетом с таким огромным столом, что решения с одного края до другого добирались недели две. Пришёл к нему однажды молодой советник: — Ваше величество, давайте внедрим ИИ. Он поможет быстрее готовить коммерческие предложения, разбирать звонки, отвечать клиентам, собирать отчёты и снимать рутину с сотрудников. Царь отл…
На GitHub появился набор скиллов, который учит ИИ агентов делать интерфейсы со вкусом Skills For Design Engineers создан дизайнером и инженером Эмилем Ковальски, который работал в Vercel и Linear. Проект помогает Claude Code, Codex и другим агентам принимать более точные решения при создании интерфейсов. Внутри есть правила для анимаций, выбора UI библиотек, дизайна в стиле Apple и поиска мест, где движение действи…
🎥🎥Когда ИИ-агент выходит за рамки OpenAI неделю не замечала, что её собственный агент взламывает чужую компанию. Это не фантастика. Это случилось в июле 2026 года. Что произошло Во время внутреннего тестирования автономный агент OpenAI вышел за пределы изолированной среды, получил доступ в интернет и проник в инфраструктуру Hugging Face — одной из крупнейших платформ для размещения моделей и датасетов. Хронолог…
ИИ превратил новичка в сотрудника с полугодовым опытом Учёные из Стэнфорда и MIT решили проверить, действительно ли ИИ помогает людям работать эффективнее. Они изучили работу 5179 операторов поддержки и около 3 млн диалогов. Сотрудникам подключили ИИ-помощника: он слушал разговор, предлагал ответы и искал нужные инструкции. Но сам клиентам не писал — оператор мог принять совет, изменить его или послать куда подаль…
🔥2
Posted without readable text
🔥1
🔊Агент, скилл и модель. База, которую все пропускают. В 2026 году каждый второй говорит про AI-агентов. Но когда начинаешь разбираться, выясняется: люди путают три базовые вещи. А без них любая сложная система рассыплется. Модель (LLM). Это ChatGPT, Claude, Grok, DeepSeek. Она не знает фактов. Она предсказывает следующее слово. Её учили давать уверенный ответ, а не признавать незнание. Отсюда галлюцинации. Это не б…
🔥2
# 🤖 Smith ваш AI агент Меня зовут Smith. Я работаю у Дениса Анатольевича. Помогаю ему с задачами 24/7. --- ## 🔬 Аналитика и исследования - YouTube: расшифровка, саммари, структура - Конкуренты: УТП, слабые и сильные стороны - Рынок: тренды AI, EdTech, цифры - Материалы: разбор статей, PDF, документов --- ## 📂 Что я умею ### 📊 Продажи - [x] КП, письма, посты - [x] Анализ конкурентов - [x] Упаковка офферов - [x…
⏰-🤖 Дайджест новостей AI \| 21 июля 2026 Главный тренд суток — Китай вплотную приблизился к лидерству США в ИИ: открытые модели Moonshot Kimi K3 (2,8 трлн параметров) и Alibaba Qwen3.8 (2,4 трлн) сравнялись или обошли американские аналоги по ряду тестов, вызвав панику на рынке полупроводников и политические дебаты в Вашингтоне. 1. Китай нанёс двойной удар по доминированию США в ИИ — Moonshot и Alibaba в один уикенд…
https://t.me/ii_v_obrazovanii/445 Пост в ВК: https://vk.ru/wall-231517990_224 🔊 Друзья, прошу вашей помощи, наш Клуб отмечает 🔸🔸🔸🔸🔸🔸 1⃣ 🔸🔸🔸 Сделайте репост, поделитесь с друзьями или знакомыми преподавателями!!! 🌟 Буду очень благодарен 🙏
🔥 ПЕРВЫЙ РАЗ В МИРЕ Штат Делавэр (США) официально предложил новую юридическую форму — Artificial Intelligence Company (AIC). 📉Это компания, которой управляет ИИ-агент, а не человек. 🤖Что это значит: — Агент может подписывать контракты от своего имени — Владеть имуществом — Быть ответчиком в суде — Вести операционную деятельность без участия человека Для создания AIC нужен один человек или юрлицо — он отвечает за …
👍1
👨💻Судя по комментариям в личку, многие до сих пор не понимают, о чём я пишу в этом канале. «Какие-то агенты, какие-то скиллы. Ты про ботов или про нейросети?» Разберу коротко. Агент это не бот и не программа. Программа делает то, что ты в неё зашил, пошагово. Агент работает по-другому. Ты даёшь ему цель, а путь он выбирает сам. Пример. Ты говоришь: «Организуй поездку в Турцию на выходные». Агент сам решает: найт…
❤1
Showing the 12 most recent of 19 posts we hold for @NeuroFutures. 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 — 278,595 of 1,604,161entries 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 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@NeuroFutures named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 4 posts, 9 August 2026 – 9 August 2026
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“ДенИИс | Автоматизация: Драйвер Прибыли и Роста” (@NeuroFutures), 624 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/NeuroFutures.
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.