Hugging Face представила обучаемую робо-утку Microduck. Малыш ростом 25 см и весом 800 г получил 15 моторов, камеру и лидар. Он умеет ходить вразвалку, вставать после падений, хватать вещи клювом и даже кататься на роликах. Главная фишка — опенсорсный софт: новые движения обучаются в симуляторе через RL и без проблем переносятся в реальность. @WW

Channel
WW
@wired_ww
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
7,772subscribers
-36 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 | -1002366669486 |
|---|---|
| Type | Channel |
| Username | @wired_ww |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/wired_ww |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 22:36 | 7,772 | -16 |
| 26 Aug 2026, 02:33 | 7,788 | -2 |
| 23 Aug 2026, 08:47 | 7,790 | -11 |
| 20 Aug 2026, 00:41 | 7,801 | -6 |
| 16 Aug 2026, 22:25 | 7,807 | +9 |
| 13 Aug 2026, 10:34 | 7,798 | +12 |
| 10 Aug 2026, 19:57 | 7,786 | -21 |
| 7 Aug 2026, 15:17 | 7,807 | -1 |
| 7 Aug 2026, 14:01 | 7,808 | no change |
| 7 Aug 2026, 13:58 | 7,808 | first reading |
Engagement
74 posts held, back to 3 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.35%
- avg views ÷ 7,772 subscribers
- Avg views / post
- 260
- 74 posts measured
- Reaction rate
- 0.625%
- reactions ÷ views · ER floor
- Posts in window
- 74
- of 74 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 38 of 74 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 74 (3 August 2026 – 28 August 2026) |
| Views total | 19,261 |
| Reactions total | 62 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 20:35 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
- 2h 14m
- Average length
- 2m 22s
Measured directly from 57 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
62 reactions across 35 posts, in 9 distinct kinds. The most used accounts for 25.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 25.8% | |
| 🤡 | 16 | 25.8% | |
| 👍 | 13 | 21.0% | |
| 👎 | 4 | 6.45% | |
| 🤔 | 4 | 6.45% | |
| 🔥 | 3 | 4.84% | |
| 🤨 | 3 | 4.84% | |
| 😁 | 2 | 3.23% | |
| 🫡 | 1 | 1.61% |
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 38 of the 74 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 62reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 74 most recent posts we hold, published 3 August 2026 to 28 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 74 we hold a reading for · 1%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @wired_ww. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 74 most recent posts we hold for this entry, published 3 August 2026 to 28 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Premiere Pro можно отправлять на пенсию — вышел бесплатный видеоредактор с ИИ-агентами. Palmier Pro умеет сам генерировать и монтировать ролики через Claude Code, Codex и Cursor. • Сам находит лучшие моменты, добавляет субтитры и улучшает качество; • Все правки можно описывать в чате, а ИИ сделает их сам; • Подключается к Claude Code, Codex и Cursor через MCP; • Внутри есть Seedance, Kling и Nano Banana Pro; • Готов…
Google незаметно выпустил лучшую модель для распознавания речи — Gemini 3.5 Transcribe. Она работает с 85+ языками, автоматически определяя, на каком говорят прямо сейчас, понимает смешанную речь и различает до 8 говорящих. Плюс сразу ставит таймкоды, убирает всякие «э-э» и слова-паразиты. И да, это самая точная модель для транскрибации речи в текст на сегодня — она обходит OpenAI, Deepgram и других конкурентов. @…
NASA открыло доступ к Worldview — теперь за изменениями на Земле можно следить прямо из дома. Карта показывает данные практически в реальном времени: новые снимки появляются примерно через три часа после наблюдения, а для некоторых геостационарных спутников доступны обновления каждые 10 минут. В одном месте можно наблюдать за тем, как меняется наша планета: • Наводнения и пожары; • Качество воздуха; • Состояние ок…
Вышел WB Chat — мессенджер от Татьяны Ким. Приложение пока в бете, но уже можно пересылать сообщения, фото и видео, а также создавать свои каналы. @WW
👍1
Вайбкодим целые игры: нашли инструмент Godogen для геймдева через Claude Code и Codex. Агент сам пишет код под движки Godot, Bevy или Babylon.js — это оптимальные платформы для инди-разработки. Генерирует персонажей, текстуры и 3D-модели. Godogen сам оценивает результат по живому билду и записывает видео геймплея для проверки. Пользуемся тут. @WW
🤡2
Создаем персонального ИИ-агента — Cloud.ru запустил пространство Agents Space, где можно настроить и запустить персонального агента. Что внутри: — ГигаАгент, первый в России автономный универсальный ИИ-агент для решения повседневных задач; — Возможность создать собственного агента под конкретные задачи; — Популярные нейронки на выбор: Kimi K2.5, Qwen 3.6-35B-A3B, Claude Opus 4.8 и другие; — Коннекторы к почте, кале…
🔥1🤨1
Настоящие иновации: теперь ChatGPT сам превращает ваши фотки, мемы и локальные приколы в наборы стикеров. Закидываете картинку, выбираете стиль и привязываете стикеры к нужным эмодзи — фон нейронка сразу делает прозрачным. Дальше пак можно отправить в любимый мессенджер. Наконец-то генеративный ИИ занялся действительно важными задачами. @WW
🤡1
Telegram научился притворяться сайтом: мессенджер получил крупный апдейт для десктопной версии. Теперь в настройках можно включать веб-прокси — и трафик Telegram начнет маскироваться под обычный HTTPS-трафик. Его будет сложнее фильтровать. Из других обновлений: появился полноценный видеоредактор, улучшили Markdown-форматирование, таймеры самоуничтожения для сообщений и отправку музыкальных файлов. @WW
👎1
Запускаем целую студию генерации видео на 6 ГБ памяти — Wan2GP выкатили БЕСПЛАТНУЮ альтернативу Higgsfield. Сервис умеет: • Генерировать видео и изображения по тексту; • Работать с Wan 2.2, LTX-2, Hunyuan Video и Flux; • Запускаться прямо в браузере; • Поддерживать LoRA и дообучение моделей; • Редактировать маски и улучшать промпты; • Работать локально без облака, подписок и лимитов. А главное — для запуска достат…
🤨1
Технарь собрал АВТО-ЧЕМОДАН — сумка-трансформер раскладывается в трёхколёсную машину с бензиновым движком. Это чудо-юдо — точная копия концепта Mazda из девяностых. В отличие от оригинала, современный чемодан на колёсах весит 25 килограммов и разгоняется до 33 км/ч. @WW
🤔1
MiniMax выпустила ИИ-студию для создания контента. В MiniMax Design достаточно описать задачу — команда ИИ-агентов сама разобьёт её на этапы, выберет подходящие модели и соберёт результат. Можно создавать баннеры, рекламу, UGC, сценарии, изображения, видео и музыку, а также редактировать готовые материалы и подключать свои сервисы через API. @WW
🤨1
Showing the 12 most recent of 74 posts we hold for @wired_ww. 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 — 1,196,693 of 1,629,372entries 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.
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.
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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“WW” (@wired_ww), 7,772 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/wired_ww.
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.