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Channel

Паша AI AI AI

@pashaaiaiai

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

15,187subscribers

+771 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001868397050
TypeChannel
Username@pashaaiaiai
Created11 August 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/pashaaiaiai

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

14,41615,18714,801.56 August 2026 — 14,416 subscribers7 August 2026 — 14,449 subscribers8 August 2026 — 14,483 subscribers9 August 2026 — 14,506 subscribers10 August 2026 — 14,525 subscribers11 August 2026 — 14,529 subscribers12 August 2026 — 14,526 subscribers13 August 2026 — 14,521 subscribers14 August 2026 — 14,494 subscribers16 August 2026 — 14,490 subscribers17 August 2026 — 14,471 subscribers18 August 2026 — 14,493 subscribers19 August 2026 — 14,629 subscribers20 August 2026 — 14,694 subscribers21 August 2026 — 14,714 subscribers23 August 2026 — 14,749 subscribers24 August 2026 — 14,753 subscribers25 August 2026 — 14,775 subscribers26 August 2026 — 14,805 subscribers27 August 2026 — 14,852 subscribers28 August 2026 — 14,866 subscribers29 August 2026 — 14,867 subscribers30 August 2026 — 14,880 subscribers31 August 2026 — 14,884 subscribers1 September 2026 — 14,878 subscribers2 September 2026 — 14,880 subscribers3 September 2026 — 14,898 subscribers5 September 2026 — 14,924 subscribers9 September 2026 — 15,012 subscribers11 September 2026 — 15,062 subscribers13 September 2026 — 15,111 subscribers14 September 2026 — 15,117 subscribers16 September 2026 — 15,145 subscribers18 September 2026 — 15,187 subscribers6 August 202618 September 2026
34 measurements spanning 44 days, net +771. 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 14,300–15,303 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 18:4015,187+42
16 Sept 2026, 13:3715,145+28
14 Sept 2026, 20:4015,117+6
13 Sept 2026, 08:5615,111+49
11 Sept 2026, 14:3815,062+50
9 Sept 2026, 01:3915,012+88
5 Sept 2026, 15:0014,924+26
3 Sept 2026, 18:1914,898+18
2 Sept 2026, 10:3314,880+2
1 Sept 2026, 09:5314,878-6
31 Aug 2026, 10:5714,884+4
30 Aug 2026, 13:0614,880+13
29 Aug 2026, 13:1314,867+1
28 Aug 2026, 16:3314,866+14
27 Aug 2026, 20:0714,852+47
26 Aug 2026, 19:0314,805+30
25 Aug 2026, 21:2214,775+22
24 Aug 2026, 22:3414,753+4
23 Aug 2026, 08:2814,749+35
21 Aug 2026, 18:0614,714first reading

Engagement

24 posts held, back to 8 April 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 52 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.6%
avg views ÷ 15,187 subscribers
Avg views / post
2,680
2 posts measured
Reaction rate
0.71%
reactions ÷ views · ER floor
Posts in window
2
of 24 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 1 September 2026
Posts held24 (8 April 2026 – 1 September 2026)
Views total5,350
Reactions total38
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:04 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.

Reaction mix

839 reactions across 24 posts, in 6 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤33640.0%
🔥22426.7%
👍12114.4%
🤔10612.6%
🤯394.65%
👏131.55%

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 24 of the 24 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 839 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 8 April 2026 to 1 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.

Recent posts

1 Sept 2026, 09:10 UTC≈1,670 views12 reactionsread 3 September 2026
Photo

Спасет ли налог на автоматизацию от ловушки сокращений AI повышает производительность и освобождает людей от рутины, но его польза зависит от того, успевает ли экономика создавать рабочие места. Если компании заменяют сотрудников быстрее, чем те находят другую работу, то спрос на продукцию компаний падает. Такой сценарий описали экономисты Бретт Хеменуэй Фолк и Джерри Цукалас в работе The AI Layoff Trap. Выглядит л…

❤6🔥3🤔3

26 Aug 2026, 12:16 UTC≈3,680 views26 reactionsread 3 September 2026
Photo

AI-агенты переводят киберугрозы на новый уровень AI уже ищет уязвимости, анализирует код, создает эксплойты и автоматизирует отдельные этапы атак. Но с AI-агентами риски переходят на следующую ступень. В кибератаках агент получает цель, инструменты и память, после чего сам проходит цикл «наблюдение — действие — проверка результата — следующий шаг». Не сработало — пробует другой путь. Атакующая система способна подс…

❤10👍7🔥4🤯4🤔1

19 Aug 2026, 15:39 UTC≈5,530 views46 reactionsread 3 September 2026
Photo

Компании будут конкурировать в накоплении AI-капитала Сатья Наделла опубликовал большое эссе о том, как AI меняет экономику. По его мнению, компаниям больше не стоит выбирать между моделями, потому что теперь это лишь компонент. Главным активом бизнеса становится обучающийся контур (learning loop), когда когда каждый запрос к AI, ее ответ, внесённые пользователем правки и итоговое решение сохраняются внутри организа…

👍17🔥10❤8🤔6👏4🤯1

13 Aug 2026, 13:13 UTC≈5,790 views47 reactionsread 3 September 2026
Photo

AI ускоряет науку Научный поиск упирается не только в сложность исследований, но и в объем знаний: ежегодно выходят миллионы работ, а лаборатории собирают огромные массивы данных. Исследователи ищут связи между многочисленными публикациями, проверяют свои гипотезы на соответствие всей информации по теме, проводят долгие расчеты и проверяют многоэтапными экспериментами. К счастью, все больше этих задач берет AI. Рез…

🔥20❤10👍9🤔8

3 Aug 2026, 10:22 UTC≈7,410 views61 reactionsread 3 September 2026
Photo

AI-агенты могут закрыть дефицит кадров По прогнозам, к 2030 году российской экономике может не хватать до 11 млн работников. А McKinsey считает, что на европейском рынке труда можно автоматизировать 58% рабочего времени, сэкономив к тому же 2030-му почти два триллиона долларов. Дефицит кадров закроют не только АI-инструменты, но и виртуальные сотрудники. Копайлоты ускоряют человека, виртуальные же сотрудники замен…

🤔22❤19👍10🔥5🤯4👏1

28 Jul 2026, 10:01 UTC≈7,220 views36 reactionsread 3 September 2026
Photo

Физики Калтека получили 300 млн на квантовый компьютер с коррекцией ошибок Инвесторы вложили 300 млн долларов в небольшой стартап Oratomic, который предложил архитектуру квантового компьютера на 20 000 кубитах — квантовых аналогах битов. Однако, в отличии от классических компьютеров, их количество здесь не играет решающую роль. Квантовое превосходство на десятках кубитов в отдельных задачах уже показывал Google, но …

❤15👍10🤔7🤯3🔥1

10 Jul 2026, 17:04 UTC≈10,700 views38 reactionsread 3 September 2026
Photo

Cloudflare анонсировала криптовалютный платежный сервис для контентмейкеров Обычно криптовалютные сервисы используются в узких нишах или небольшими фирмами. Анонс компанией Cloudflare платежного сервиса Monetization Gateway переводит использование этой технологии на мировой уровень — по оценкам аналитиков через сервера компании проходит 20% мирового трафика. Cloudflare отмечает, что один запрос пользователя к ИИ-мо…

❤19🔥12🤔6🤯1

9 Jul 2026, 15:40 UTC≈8,800 views25 reactionsread 3 September 2026
Photo

Meta* Brain2Qwerty v2: неинвазивное «чтение мыслей» и проблема железа Meta* представила вторую версию Brain2Qwerty — систему, которая неинвазивно декодирует текст напрямую из мозговой активности. В отличие от Neuralink, здесь нет ни хирургии, ни вживленных электродов. Как это работает. Модель анализирует непрерывный поток данных магнитоэнцефалографии (MEG) — без привязки к точным меткам нажатий клавиш, как это нужн…

🔥12❤8👍5

6 Jul 2026, 17:01 UTC≈6,250 views22 reactionsread 3 September 2026
Photo

Искусственный интеллект создает искусственный дефицит В начале года аналитики говорили об охлаждении интереса к ИИ и снижении цен на комплектующие, но по итогам первой половины 2026 года предположения не сбылись. OpenAI, Anthropic и SpaceX вложили пару сотен миллиардов долларов в новые дата-центры для обучения и инференса ИИ-моделей, заключив многолетние контракты с производителями чипов. Какие ресурсы кроме GPU мог…

🔥10👍6🤔4❤1👏1

26 Jun 2026, 16:10 UTC≈8,800 views25 reactionsread 3 September 2026
Photo

IPO SpaceX стало тестом на зрелость ИИ-рынка 12 июня SpaceX провела IPO и привлекла рекордные $85,7 млрд. На пике капитализация компании достигла почти $2,9 трлн, выше, чем у Microsoft и Amazon. Через несколько дней SpaceX объявила о покупке ИИ-редактора Cursor за $60 млрд акциями компании. После этой сделки компания собрала ИИ-экосистему: от ЦОДов и связи до моделей и инструментов. Казалось, что рынок начал массов…

❤10🔥7🤯7🤔1

23 Jun 2026, 11:21 UTC≈7,770 views22 reactionsread 3 September 2026
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Sakana Fugu: оркестрация вместо одной большой модели Sakana AI выпустила Fugu — не фронтир-модель, а пул моделей под единым OpenAI-совместимым API. Снаружи это одна модель, внутри — координация десятков агентов. Что внутри: • Fugu Ultra на бенчмарках по кодингу, рассуждению и науке сопоставима с закрытыми фронтир-моделями — за счёт кооперации моделей поменьше, а не масштабирования одной сети. • Пул контролирует пол…

🔥14❤5🤯3

19 Jun 2026, 08:13 UTC≈8,280 views32 reactionsread 3 September 2026
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На пути к суперинтеллекту: новый доклад Google DeepMind о достижении ASI На днях команда Google DeepMind опубликовала отчёт, формирующий новый горизонт планирования: достижение AGI — это не финал, а лишь начало. 4 технологических пути к ASI: 1. Продолжение текущего экстенсивного тренда. Даже если архитектура не совершит прорыва, миллион копий AGI-агентов, запущенных параллельно на высоких скоростях, — это уже сове…

🔥12❤8🤔7👍3🤯2

Showing the 12 most recent of 24 posts we hold for @pashaaiaiai. 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.

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 3 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.

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.

SSC MATHS GK GS REASONING PDF
@SSC_GK_GS_MATH_REASONING_PDF · 48,689
Telegram ranks this channel #26 of 48 here — alongside 47 others — read 26 August 2026
МТС
@mtsofficial · 49,632
Telegram ranks this channel #38 of 96 here — alongside 95 others — read 25 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q134097778 on Wikidata, read 13 September 2026
LabelPavel Voronin
DescriptionRussian programmer

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

“Паша AI AI AI” (@pashaaiaiai), 15,187 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/pashaaiaiai.

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.