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Channel

Все о блокчейн/мозге/space/WEB 3.0 в России и мире

@blockchainRF

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

20,486subscribers

+393 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001036051144
TypeChannel
Username@blockchainRF
Created4 August 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/blockchainRF

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 10 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 why it has no browse page of its own yet.

Growth

20,08220,48620,2845 August 2026 — 20,093 subscribers6 August 2026 — 20,093 subscribers6 August 2026 — 20,091 subscribers7 August 2026 — 20,096 subscribers8 August 2026 — 20,095 subscribers9 August 2026 — 20,093 subscribers10 August 2026 — 20,087 subscribers11 August 2026 — 20,082 subscribers12 August 2026 — 20,089 subscribers14 August 2026 — 20,095 subscribers15 August 2026 — 20,091 subscribers16 August 2026 — 20,086 subscribers17 August 2026 — 20,100 subscribers19 August 2026 — 20,101 subscribers19 August 2026 — 20,108 subscribers21 August 2026 — 20,111 subscribers22 August 2026 — 20,108 subscribers24 August 2026 — 20,115 subscribers25 August 2026 — 20,108 subscribers26 August 2026 — 20,104 subscribers27 August 2026 — 20,106 subscribers28 August 2026 — 20,110 subscribers29 August 2026 — 20,106 subscribers30 August 2026 — 20,108 subscribers31 August 2026 — 20,103 subscribers1 September 2026 — 20,098 subscribers2 September 2026 — 20,090 subscribers3 September 2026 — 20,082 subscribers5 September 2026 — 20,085 subscribers8 September 2026 — 20,094 subscribers11 September 2026 — 20,423 subscribers13 September 2026 — 20,458 subscribers15 September 2026 — 20,480 subscribers25 September 2026 — 20,486 subscribers5 August 202625 September 2026
34 measurements spanning 50 days, net +393. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 20,021–20,547 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 08:2120,486+6
15 Sept 2026, 05:0220,480+22
13 Sept 2026, 13:4020,458+35
11 Sept 2026, 15:3720,423+329
8 Sept 2026, 22:5920,094+9
5 Sept 2026, 17:0020,085+3
3 Sept 2026, 15:0020,082-8
2 Sept 2026, 08:4420,090-8
1 Sept 2026, 08:0620,098-5
31 Aug 2026, 08:3420,103-5
30 Aug 2026, 11:3420,108+2
29 Aug 2026, 08:1320,106-4
28 Aug 2026, 07:1320,110+4
27 Aug 2026, 08:0620,106+2
26 Aug 2026, 08:5720,104-4
25 Aug 2026, 07:4320,108-7
24 Aug 2026, 06:2420,115+7
22 Aug 2026, 13:0820,108-3
21 Aug 2026, 01:3920,111+3
19 Aug 2026, 22:0820,108first reading

Engagement

103 posts held, back to 30 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 57 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.11%
avg views ÷ 20,486 subscribers
Avg views / post
1,660
17 posts measured
Reaction rate
0.733%
reactions ÷ views · ER floor
Posts in window
17
of 103 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held103 (30 July 2026 – 2 September 2026)
Views total28,227
Reactions total207
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 00:56 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
1m 21s
Average length
27s

Measured directly from 3 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

1,664 reactions across 98 posts, in 29 distinct kinds. The most used accounts for 32.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤53732.3%
🔥38423.1%
👍32019.2%
❤‍🔥1006.01%
😱301.80%
😍291.74%
🏆281.68%
👀271.62%
👏251.50%
🤔251.50%
😁231.38%
👎211.26%
🙏191.14%
🥰181.08%
🤣130.781%
🎉110.661%
🤯110.661%
👌60.361%
💊60.361%
🤪60.361%
9 further kinds251.50%

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 103 of the 103 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 1,760 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 103 most recent posts we hold, published 30 July 2026 to 2 September 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
142
across the posts below
Posts paid on
14
of 103 we hold a reading for · 14%
Most on one post
70
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @blockchainRF. 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 103 most recent posts we hold for this entry, published 30 July 2026 to 2 September 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

2 Sept 2026, 17:35 UTC847 views12 reactionsread 3 September 2026

Google очень быстро обновляет свою линейку моделей Gemini Flash Сегодня вышло Gemini Flash 3.8 - это уже третье крупное обновление Flash за 6 недель. Такая скорость обновлений выглядит как маховик RSI - это, когда ИИ помогает улучшать следующий ИИ, и прогресс начинает ускоряться сам по себе

❤5🔥4👀2🤔1

2 Sept 2026, 13:35 UTC≈1,280 views15 reactionsread 3 September 2026
Video

Новая модель от Anthropic теперь снимает видео через код, а стартап World Labs представил модель мира Atlas, которая генерит фото и видео с управлением камерой и тут же восстанавливает это в 3D Теперь Fable 5.1 может генерировать видео через код, смотрите видео. Для этого человек дал Fable 5.1 фото участка, а модель спроектировала дом, собрала сцену в headless Blender и сняла обход камерой как в кино. А Atlas от ст…

👍11🔥4

2 Sept 2026, 09:50 UTC≈1,330 views10 reactionsread 3 September 2026

Сегодня всех будоражит новость, что для новой модели OpenAI используют секретный прием - непрозрачное рассуждение, что опасно для безопасности ИИ Сегодня The Information сообщили, что новая ИИ- модель OpenAI - Astra использует архитектуру «recurrent depth» также называют looped transformer. Эта архитектура якобы даёт выигрыш в силе и цене. Суть в том, что если обычная модель прогоняет текст через слои один раз и и…

👍4🔥4😱2

2 Sept 2026, 07:54 UTC≈1,450 views9 reactionsread 3 September 2026

Anthropic выпустила Fable 5.1 и Mythos 5.1 и снизила стоимость выполненной работы А ещё компания вводит Enterprise Frontier Safeguards, теперь данные клиентов хранятся на их собственной инфраструктуре, не на серверах Anthropic. Новая модель Fable 5.1 обходится примерно на 25% дешевле предшественника на типичных нагрузках и до 45% на агентных за счёт того, что чтение кэша стало на 75% дешевле. То есть экономия буде…

👍5🔥4

1 Sept 2026, 17:32 UTC≈1,830 views27 reactionsread 3 September 2026

Экс-СЕО поиска Яндекса запускает SQL по всему интернету для ИИ-агентов Андрей Стыскин, экс- CEO поиска и рекламы Яндекса, затем директор web infra в Amazon AGI, а также Маттиас Петри, ex-principal applied scientist Amazon AGI представили новый продукт своей компании Keenable - SELECT. Они хотят сделать интернет для ИИ-агентов в виде базы данных для аналитика. Не ещё один поисковик для людей и не обёртку над Google…

🔥11❤6🏆6👍2👎2

1 Sept 2026, 14:01 UTC≈2,380 views18 reactions1 Starread 3 September 2026

👀Hugging Face говорят, что рост автономности ИИ-агентов не просто усложняет контроль человеком, а постепенно делает его неэффективным Человек формально остаётся в процессе, ему показывают план и просят нажать апрув. Но по факту все это чаще превращается в ритуал: человек быстро проскроллил, кликнул, пошёл дальше. А агент уже сам решил, какие инструменты вызвать, что поменять и в каком порядке. Человек в этот моме…

👍13🔥3❤2

1 Sept 2026, 11:55 UTC≈1,580 views5 reactionsread 3 September 2026

OpenAI начинает предлагать крупным клиентам платить не за токены, а за результат выполненной работы ИИ-агентом Схема такая: крупный заказчик платит OpenAI тогда, когда ИИ завершает работу, речь идёт в первую очередь о таком сегменте как обработка обращений в поддержке. Неудачные попытки, длинные цепочки рассуждений на стороне клиента не оплачиваются. Но существует много подводных камней у этой модели, смотрите, чт…

🔥3👍2

1 Sept 2026, 09:27 UTC≈1,600 views11 reactions6 Starsread 3 September 2026

Runway показали Solaris - ОС, которая рисует интерфейс без кода в реальном времени Solaris - Interface World Model, то есть своего рода ОС, которая в реальном времени, кадр за кадром, генерирует интерактивные интерфейсы без кода. По тестам Runway, модель лучше фронтирных LLM справляется с генерацией новых интерфейсов. Есть мнение, что в будущем такие интерфейсы могут стать гораздо гибче, которые будут подстраивать…

❤5🔥3👍2👀1

31 Aug 2026, 15:48 UTC≈1,580 views10 reactionsread 3 September 2026

За 200 дней рекламный бизнес OpenAI в ChatGPT достиг годового темпа выручки в $1 млрд. Тестирование рекламы в ChatGPT в США началось в феврале 2026 года. Решение тогда вызвало критику со стороны многих, в том числе уволенных сотрудников. Сейчас реклама доступна более чем в 40 странах. С сегодняшнего дня можно самостоятельно сделать рекламу через Ads Manager в Индии, Европе, на Ближнем Востоке и в Северной Африке.…

👍4❤3👎2🔥1

31 Aug 2026, 13:29 UTC≈1,550 views12 reactionsread 3 September 2026

Google показали прогресс их ИИ-ученого, который закрывает кусок настоящей лабораторной работы​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ Мультиагентная система Co-Scientist впервые прошла полный цикл научных исследований: от генерации гипотез через эксперименты до написания статей. Основное отличие от предыдущих версий Co-Scientist в том, что теперь она подключена к реальному лабораторному оборудованию и пол…

❤8👍3🔥1

31 Aug 2026, 12:02 UTC≈1,540 views7 reactionsread 3 September 2026

Член совета ЕЦБ считает, что деньги ЦБ надо переносить на блокчейн и смарт-контракты Это заявление Изабель Шнабель, по её мнению, чтобы сохранить роль денег ЦБ на токенизированных рынках, резервы тоже должны быть на блокчейне. Напомним, что сейчас США вводят токенизацию всего. Её идея в том, что смарт-контракты позволяют мгновенно менять параметры денежно-кредитной политики: • процентные ставки; • требования к …

👍6🔥1

31 Aug 2026, 09:00 UTC≈1,720 views13 reactions1 Starread 3 September 2026

Вышел OpenClaw 2.0, и его во многом собрал сам OpenClaw Сегодня вышла самая большая версия OpenClaw за всю историю проекта. 2 месяца назад команда проекта перешла с локальных инструментов на единого командного агента и локальные harness стали пережитком прошлого. Что нового появилось? облачные сессии с общим контекстом. Раньше агент знал только то, что происходило в одном сеансе одного человека. Теперь задачу мо…

❤12🔥1

Showing the 12 most recent of 103 posts we hold for @blockchainRF. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 51 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Syncrets
@Syncrets · 769
3 posts
Тотальный диджитализм / Total digitalization
@TotalDigitalization · 377
3 posts
AI Navigator (ИИ навигатор)
@ainavigator · 125
3 posts
Новые технологии меняющие жизнь!
@newtechnologieslife · 27
3 posts
DAO LAW право в Web3 и метавселенной
@DAOLAW · 11
2 posts
DLM Deep Language Models
@DLModels · 27
2 posts
Первый Цифровой
@Digital_plumber · 17
2 posts
Остров Шредингера
@Isle_Shroedinger · 82
2 posts
Цифровой УГНТУ
@digital_ugntu · 128
2 posts
Интелли👓Гангстер
@intelligangsterhood · 22
2 posts
Solntsev Sharing AI
@ksolntsevAI · 221
2 posts
Скажи AI.DA
@tell_AI_DA · 113
2 posts
Bobkov | AI‑Founder
@AbobkovAI · 244
1 post
Что происходит?
@AboutAround · 3
1 post
Алия Григ | Про Космос
@AliyaSpace · 223
1 post
AI by A&I (Analytics & Investments)
@AnalyticInvest · 27
1 post
Децентрализованное образование
@DecentralizedEducation · 221
1 post
Цифровое право с Еленой Авакян®️
@ElenaAvakyanDigital · 348
1 post
Финансы Право и Технологии
@FintechfuturePro · 25
1 post
Anatoly Semenov
@Hacker_in_Law · 1,638
1 post
Иосиф Сталлоне
@JosephStallone · 1
1 post
АИ
@aidisrupt · 132
1 post
Караульный по рейтингам
@allratings · 811
1 post
Бакунин про стратегию
@bakunincom · 55
1 post
Bhrigu | Футурологическая платформа
@bhrigu_io · 81
1 post
#цифровойслед
@dgtrace · 22
1 post
Digital Assets
@digitalassetsfund · 140
1 post
Цифровой капитализм
@digitalcapitalism · 3,560
1 post
Digitalmedinfo
@digitalmedinfo · 74
1 post
AI AGENTS
@enjoyvip · 2
1 post
Futurecollector.com | Коллекционер будущего
@futurecollector · 1,321
1 post
Артефакты будущего
@futurenews · 523
1 post
Cure all diseases and aging
@healthy100years · 68
1 post
Kardymonchik Channel
@kardymonchik · 906
1 post
Dauphinois
@le_dauphinois · 6,719
1 post
leave you better
@leaveyoubetter · 5
1 post
McFly Review
@mcflyreview · 347
1 post
КБ МЕХАНЦЕВА
@mehancev · 5
1 post
Капли ртути
@mercury_octave · 1,388
1 post
MFTech
@mftechpw · 10
1 post
артём
@motel_next_to_cemetery · 30
1 post
НейроХаб. Public
@neurohub_public · 50
1 post
Экономика цифровой эры
@newdigitalera · 2,857
1 post
Nexi's channel
@nexiware · 103
1 post
NIKTA NEWS
@niktanewsforweb · 3
1 post
Новости NtechLab
@ntechlab_news · 864
1 post
Полковник Курц
@polkovnikKurtz · 4,160
1 post
🧠 ПСИХОЛОГИЯ ДЕНЕГ
@psyxmoney · 3,663
1 post

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 38 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Нецифровая экономика
@antidigital · 24,390
Telegram ranks this channel #15 of 96 here — alongside 95 others — read 16 September 2026
Витрина стартапов
@showstartup · 27,089
Telegram ranks this channel #24 of 90 here — alongside 89 others — read 11 September 2026
Малоизвестное интересное
@theworldisnoteasy · 73,946
Telegram ranks this channel #26 of 94 here — alongside 93 others — read 19 August 2026
Кот Эльвиры
@KotElviry · 48,242
Telegram ranks this channel #33 of 97 here — alongside 96 others — read 26 August 2026
Russian Business
@rb_ru · 370,696
Telegram ranks this channel #37 of 98 here — alongside 97 others — read 14 August 2026
КиберПанк | Технологии Будущего | Technology
@technology_future_cyberpunk · 37,246
Telegram ranks this channel #53 of 84 here — alongside 83 others — read 1 September 2026
Sber AI
@SberAIScience · 27,144
Telegram ranks this channel #66 of 95 here — alongside 94 others — read 10 September 2026
Waves 🌊
@wavesnews · 1,057,454
Telegram ranks this channel #82 of 88 here — alongside 87 others — read 15 August 2026
Сколково
@skolkovolive · 41,975
Telegram ranks this channel #83 of 98 here — alongside 97 others — read 29 August 2026
Финтехно
@fintexno · 29,566
Telegram ranks this channel #85 of 96 here — alongside 95 others — read 8 September 2026
РБК Деньги
@rbc_pro · 27,567
Telegram ranks this channel #89 of 97 here — alongside 96 others — read 10 September 2026

This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Все о блокчейн/мозге/space/WEB 3.0 в России и мире” (@blockchainRF), 20,486 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/blockchainRF.

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.