Канал создан 5.08.2016г. о: блокчейн, мозг(BCI), биотех, space tech, цифровая экономика, WEB 3.0
Больше на Patreon https://www.patreon.com/Blockchainrf?utm_campaign=creatorshare_creator
Основатель @AniAslanyan
Eng channel https://t.me/alwebbci
Created
4 August 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
17 measurements spanning 17 days, net +15. 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 20,078–20,115 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 13:08
20,108
-3
21 Aug 2026, 01:39
20,111
+3
19 Aug 2026, 22:08
20,108
+7
19 Aug 2026, 00:12
20,101
+1
17 Aug 2026, 21:13
20,100
+14
16 Aug 2026, 22:19
20,086
-5
15 Aug 2026, 17:34
20,091
-4
14 Aug 2026, 06:07
20,095
+6
12 Aug 2026, 22:35
20,089
+7
11 Aug 2026, 20:22
20,082
-5
10 Aug 2026, 16:54
20,087
-6
9 Aug 2026, 13:23
20,093
-2
8 Aug 2026, 13:47
20,095
-1
7 Aug 2026, 17:00
20,096
+5
6 Aug 2026, 15:31
20,091
-2
6 Aug 2026, 02:06
20,093
no change
5 Aug 2026, 22:24
20,093
first reading
Engagement
67 posts held, back to 30 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 35 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.3%
avg views ÷ 20,108 subscribers
Avg views / post
2,080
67 posts measured
Reaction rate
0.907%
reactions ÷ views · ER floor
Posts in window
67
of 67 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
Window
Rolling 30 days · latest post in window 21 August 2026
Posts held
67 (30 July 2026 – 21 August 2026)
Views total
139,360
Reactions total
1,264
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Aug 2026, 21:35 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
Photos
≈2,170
Videos
≈404
Links
≈8,740
Lifetime counters from Telegram’s own channel header, read 22 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.
Video runtime
25s
Average length
25s
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
1,168 reactions across 62 posts, in 28 distinct kinds. The most used accounts for 33.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
387
33.1%
🔥
250
21.4%
👍
203
17.4%
❤🔥
85
7.28%
👏
22
1.88%
😁
20
1.71%
😍
20
1.71%
🙏
19
1.63%
🏆
18
1.54%
😱
18
1.54%
🥰
18
1.54%
🤔
14
1.20%
👀
13
1.11%
👎
12
1.03%
🤣
12
1.03%
🎉
11
0.942%
🤯
11
0.942%
👌
6
0.514%
🤪
6
0.514%
💊
5
0.428%
8 further kinds
18
1.54%
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 67 of the 67 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 1,264reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 67 most recent posts we hold, published 30 July 2026 to 21 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
82
across the posts below
Posts paid on
9
of 67 we hold a reading for · 13%
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 67 most recent posts we hold for this entry, published 30 July 2026 to 21 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.
ИИ научился сам придумывать себе тренировочные среды
Self-play после AlphaGo наконец добрался и до языковых моделей.
Новая работа SPADE - это, возможно, первый пример, когда self-play по-настоящему заработал для общих рассуждений у LLM.
Одна модель теперь:
1. сама пишет себе полноценные многоходовые среды на Python
2. сама в них учится
3. сама поднимает планку сложности под свой уровень.
Больше не нужен челове…
Visa запустила инструмент для проверки готовности онлайн-магазинов и сервисов к эпохе, когда покупки делают ИИ-агенты
Этот инструмент называется Visa Agent Score, и он проводит:
1. симуляции взаимодействия ИИ-агентов с сайтами
2. оценивает, насколько сайт готов к экономике ИИ-агентов.
На днях мы опубликовали материал, в котором говорится, что финансовые данные становятся нативным слоем ИИ-агентов + опубликовали п…
Это одна из необычных сделок: Nvidia вложила $7млрд в стартап, создающий фабрику моделей для программирования
Вчера всплыла одна из самых необычных сделок в ИИ за последнее время.
Стартап Poolside AI который создает модели специально для программирования (семейство Laguna), заключил с Nvidia сразу несколько соглашений:
• Nvidia заплатила $6 млрд за неисключительную лицензию на их Model Factory - это платформа, к…
MIT представили новую теорию о мозге и сознании. Мозг - это не компьютер
Учёные считают, что мысль, действие и сознание возникают благодаря аналоговым вычислениям, которые выполняют бегущие электрические волны в коре мозга.
Десятилетиями люди считали , что мозг как нейронная сеть, схемы - это полезные образы, но неполные.
Синапсы хранят память и знания, но как мозг за доли секунды собирает из этого хранилища нужно…
Очень круто: продажи роботов с воплощённым ИИ в Китае выросли на 95,1% год к году в июле
Сегодня представитель департамента стимулирования потребления Минкоммерции Китая рассказал о состоянии потребительского рынка в июле.
Ранее мы писали, как Китай активно развивает эту индустрию. A DeepSeek стал акционером Unitree.
Среди прочих показателей они выделили рост продаж:
1. экзоскелетов выросли на 39,5%.
2. Роботов-…
GenBio выпустили мировую модель для клетки человека
Компания строит AIDO (AI-Driven Digital Organism) - систему мультимасштабных моделей для симуляции биологии на всех уровнях от молекул до целого организма.
А AIDO Cell - это единая модель, которая симулирует одну клетку целиком: ДНК, РНК, белки, регуляторные сети и поведение клетки.
Причём она сохраняет состояние: следующее действие применяется уже к изменённой к…
Как курьерский сервис запустил 50 агентов на Claude и сократил затраты
Anthropic опубликовали кейс ABC Legal - юридической компании по доставке документов, которая запустила более 50 специализированных ИИ-агентов за несколько месяцев без найма доп разработчиков.
Основной их подход в том, что каждый агент описывается как структурированный текст (промпт + конфигурация) и хранится в git-репозитории.
15 человек из раз…
Экономика ИИ-агентов набирает обороты: Stripe купил OpenRouter за $7млрд
Платёжный гигант выкупил роутера ИИ-моделей за огромные деньги и этому есть объяснение.
Stripe уже несколько лет как строит инфраструктуру для экономики ИИ-агентов. Здесь свежий их доклад, о том, какой будет эта экономика.
Уже сегодня ИИ-агенты потребляют больше токенов, чем люди, у них уже большой объем транзакций проходит по платежам, на чт…
1-й большой успех: персональная mRNA-вакцина против рака прошла финальные испытания
Merck и Moderna объявили положительные результаты 3-й фазы исследования INTerpath-001, в котором оценивался препарат интисмеран аутоген (intismeran autogene; также известен как V940 или mRNA-4157) в комбинации с иммунотерапевтическим препаратом KEYTRUDA (пембролизумаб) у пациентов с меланомой стадий IIB–IV после полного хирургическог…
Гайд: как создать AI-native операционную систему для бизнеса
Сегодня большинство компаний добавляют ИИ поверх существующего разных инструментов, и в итоге данные разбросаны, а ИИ видит только кусочки, получается польза от этого минимальная.
Разобрали эту тему на практическом примере от одного из провайдеров.
Anthropic показал, как Claude создаёт белки с помощью оркестрации ИИ-агентов
За 48 часов Claude выбирал инструмент, интерпретировал промежуточные результаты, запускал циклы оптимизации.
Отметим, что многие сильные люди перешли из Google в Anthropic, в том числе создатель AlphaFold.
Anthropic опубликовали результаты громкого эксперимента: Claude с помощью оркестрации open-source моделей спроектировал белковые байнд…
OpenAI притормозила с разработкой сильных ИИ-моделей
Но это касается более сильных моделей, которые будут выпущены позже, а в ближайшее время команда выпустит новые модели.
Сэм Альтман написал так:
«Мы приостановили часть обучения самых передовых моделей (frontier RL), чтобы успеть привести в порядок безопасность, выравнивание и системы мониторинга под новый уровень возможностей.
Прогресс моделей сейчас идёт очен…
👍8👎5🤯2👏1
Showing the 12 most recent of 67 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.
Citation-graph rank
Citation-graph rank — 18,783 of 1,584,142entries 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.
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 37 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.
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.
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.
Малоизвестное интересное @theworldisnoteasy · 73,957 Telegram ranks this channel #26 of 94 here — alongside 93 others — read 19 August 2026
Russian Business @rb_ru · 373,652 Telegram ranks this channel #37 of 98 here — alongside 97 others — read 14 August 2026
Waves 🌊 @wavesnews · 1,124,848 Telegram ranks this channel #82 of 88 here — alongside 87 others — read 15 August 2026
This channel appears in 3 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 22 August 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), 20,108 subscribers as measured 22 August 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.