FlUX 3 выкатил аттракцион невиданной щедрости стал бесплатным для всех до 17го августа. Го генерить. Зачем они это делают? Чтобы вы выдохновились моделью и потом платили за генерации уже реальные деньги. Кидайте свои генерации в комментарии.
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Channel
@SenseiDurova
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,771subscribers
-384 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002006705053 |
|---|---|
| Type | Channel |
| Username | @SenseiDurova |
| Description | Здесь нет спешки, лишь шаги по тропе нейросетей, TON и NFT - цветы. Учись видеть суть, в каждом токене - дыханье, в каждом блоке - свет. Следуй, чтобы понять. |
| Created | Between 1 November 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/SenseiDurova |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 14:25 | 9,771 | -122 |
| 7 Aug 2026, 20:38 | 9,893 | -262 |
| 7 Aug 2026, 12:31 | 10,155 | first reading |
22 posts held, back to 6 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 14 pagesof Telegram’s post history, 20 posts per page.
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 12 August 2026 |
|---|---|
| Posts held | 22 (6 June 2026 – 12 August 2026) |
| Views total | 8,043 |
| Reactions total | 220 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 14:49 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.
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. 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.
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.
536 reactions across 22 posts, in 17 distinct kinds. The most used accounts for 30.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 164 | 30.6% | |
| 🔥 | 79 | 14.7% | |
| ❤ | 71 | 13.2% | |
| 😱 | 47 | 8.77% | |
| 🤝 | 43 | 8.02% | |
| 😁 | 32 | 5.97% | |
| 🌭 | 21 | 3.92% | |
| 👀 | 15 | 2.80% | |
| 🤣 | 14 | 2.61% | |
| 😢 | 12 | 2.24% | |
| 👾 | 11 | 2.05% | |
| 🎉 | 10 | 1.87% | |
| 👎 | 9 | 1.68% | |
| 😎 | 4 | 0.746% | |
| 🐳 | 2 | 0.373% | |
| 💘 | 1 | 0.187% | |
| 😭 | 1 | 0.187% |
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 22 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 536reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 6 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.
FlUX 3 выкатил аттракцион невиданной щедрости стал бесплатным для всех до 17го августа. Го генерить. Зачем они это делают? Чтобы вы выдохновились моделью и потом платили за генерации уже реальные деньги. Кидайте свои генерации в комментарии.
👍7😎2🤝1
😏Все бесплатные нейросети В ОДНОМ МЕСТЕ ➡️ нашел агрегатор, где скидывают все халявные нейронки ⚫️ Собирает бесплатные LLM ➡️показывает, где можно без оплаты пользоваться Gemini, Mistral, OpenRouter, NVIDIA NIM, Cohere и другими моделями; ⚫️ Указывает ограничения бесплатных тарифов ➡️ лимиты запросов и токенов, необходимость карты или номера телефона; ⚫️ Фильтрует сервисы по условиям ➡️ можно найти варианты без реги…
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9️⃣6️⃣8️⃣4️⃣ скиллов для ИИ-агентов в одном месте — разрабы хайпового Hermes выпустили мегаимбу, где можно найти готовый навык под любую задачу. • Сейчас там больше 190 категорий: кодинг, дизайн, бизнес, соцсети и многое другое. • Есть удобный поиск, чтобы быстро найти нужный скилл. • У каждого навыка подробная документация и инструкция по использованию. • Каталог будет пополняться сообществом. ЖИР тут ➡️ Skills Hu…
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😏 Получаем YouTube Premium Plus ➖нашел патчер для Android с каталогом из 6️⃣0️⃣0️⃣+ приложений. Это наследник легендарного ReVanced, который научился патчить не только YouTube. Теперь там собраны сотни прог в и всё работает В РАЗЫ удобнее. ✅Самое интересное — YouTube: • Отключение ВСЕЙ рекламы • Фоновое воспроизведение • SponsorBlock (автоматически пропускает рекламные интеграции прямо в роликах) • Возврат дизлайко…
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🔥 С Google музыкантом может стать каждый Компания выпустила ИИ-модель Lyria 3.5, которая может: ✅ Задавать желаемый музыкальный стиль и тип вокала ✅ Делать генерацию текста для трека или использовать свой оригинальный текст ✅Создавать и скачивать готовые треки в аудио или видео форматах ➡️ Попробовать можно ТУТ Устали от музыки, которая орёт из каждой колонки? Напишите свою😏 ⚔️⚔️⚔️⚔️⚔️⚔️⚔️⚔️ 👍CS 🟢VPN
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🤖Google DeepMind представила Gemini Robotics 2 Это единая VLA, которая открывает физическую ловкость для разных конечных эффекторов, рук или захватов, из одной контрольной точки модели. Гуманоид Apollo 2 от Apptronik с 22-степенной рукой SharpaWave завязывает узлы и запечатывает пакет с застежкой-молнией ⚔️⚔️⚔️⚔️⚔️⚔️⚔️⚔️ 👍CS🟢VPN
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🥳 Лутаем Kimi K3 БЕСПЛАТНО ➡️ провайдер TokenRouter раздаёт по 50 МИЛЛИОНОВ токенов для хайповой китайской нейронки, хватит на несколько месяцев плотной работы. • Kimi K3 — имба для кодинга. Нейронка без проблем уделывает Fable 5, GPT Sol 5.6 и Gemini. • Не нужно ничего устанавливать и привязывать банковскую карту. Забираем подгон ➡️ тут. ⚔️⚔️⚔️⚔️⚔️⚔️⚔️⚔️ 👍CS 🟢VPN
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❗️Сооснователю Telegram Павлу Дурову в РФ предъявлено обвинение в содействии террористической деятельности, сообщает ФСБ.
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😞Остановитесь: Unitree показала нового робота для бездорожья Он легко перемещается по скалам, проезжает до 30 км без подзарядки и способен перевозить до 180 кг груза. Но стоит ему разогнаться ➡️выглядит это так, словно он уже получил собственное сознание.🤖 ⚔️⚔️⚔️⚔️⚔️⚔️⚔️⚔️ 👍CS🟢VPN
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В Китае нашли АЗС, где вместо бензина наливают пиво. 🤝В китайском Циндао работает необычная «заправка»: пенное здесь разливают прямо из колонок, как топливо для автомобиля. Стакан свежего пива обойдётся примерно в 200 рублей. 😀
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😋 Наткнулся на огромную базу студенческих бонусов и скидок ➖на сайте собраны десятки сервисов, которые дают бесплатный доступ или специальные условия для учащихся. На сайте лежит подробный туториал, как сделать себе студенческую почту, даже если вы не студент. Что можно найти: 🕤GitHub Student Developer Pack. 🕤Полный набор IDE от JetBrains. 🕤Microsoft Office, Azure, GitHub Copilot и другие продукты Microsoft. 🕤Скид…
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🔥 ВСЕ бесплатные нейронки в одном API ➖ релизнулся провайдер OmniRoute, внутри которого больше 1️⃣6️⃣0️⃣ бесплатных ИИ-инструментов на все случаи жизни. Главная имба ➖ провайдер бесконечно выдаёт халявные токены, подключает один эндпоинт для всех API и сам отправляет запросы. • Объединяет API от кучи моделей и сам переключается, когда закончились токены; • Автоматом сжимает контекст до 95%; • Есть доступ к GLM, Gro…
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Showing the 12 most recent of 22 posts we hold for @SenseiDurova. 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 — 812,871 of 1,160,990entries 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.
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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Crypto Sensei®” (@SenseiDurova), 9,771 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/SenseiDurova.
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.