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Channel

Михаил Ларькин | ИИ для роста

@larkinmd07

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

2,973subscribers

+98 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001978368812
TypeChannel
Username@larkinmd07
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/larkinmd07

Growth

2,8742,9732,923.57 August 2026 — 2,875 subscribers8 August 2026 — 2,874 subscribers11 August 2026 — 2,875 subscribers14 August 2026 — 2,896 subscribers17 August 2026 — 2,906 subscribers20 August 2026 — 2,908 subscribers26 August 2026 — 2,915 subscribers29 August 2026 — 2,939 subscribers1 September 2026 — 2,967 subscribers5 September 2026 — 2,973 subscribers7 August 20265 September 2026
10 measurements spanning 29 days, net +98. 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 2,859–2,988 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Sept 2026, 17:402,973+6
1 Sept 2026, 21:052,967+28
29 Aug 2026, 12:382,939+24
26 Aug 2026, 21:432,915+7
20 Aug 2026, 06:452,908+2
17 Aug 2026, 17:262,906+10
14 Aug 2026, 07:142,896+21
11 Aug 2026, 03:312,875+1
8 Aug 2026, 11:272,874-1
7 Aug 2026, 13:332,875first reading

Engagement

18 posts held, back to 26 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

140 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 32.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁4632.9%
🤣3323.6%
2517.9%
🔥1812.9%
👍128.57%
42.86%
💯21.43%

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 18 of the 18 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 140 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 26 June 2026 to 5 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.

Recent posts

5 Aug 2026, 12:04 UTC305 views3 reactionsread 7 August 2026

Opus 5 проявил настоящую безжалостность, управляя торговым автоматом Исследователи поручили AI-моделям управлять симулятором вендингового автомата. Opus 5 установил рекорд бенчмарка, закончив тест со средним балансом 11200 долларов. Зарабатывал Opus довольно агрессивно. Он выдумывал предложения конкурентов, торгуясь с поставщиками, договаривался с другими агентами зафиксировать цены и поделить рынок, а затем наруша

😁21

4 Aug 2026, 11:03 UTC398 views1 reactionsread 7 August 2026
Video

Google выпустил Lyria 3.5 для генерации песен Обещают более качественный вокал и больше контроля. Пробовать можно в https://www.flowmusic.app/

🔥1

30 Jul 2026, 12:48 UTC659 views3 reactionsread 7 August 2026

США запретили импорт китайских человекоподобных и четвероногих роботов Главная цель запрета — китайская Unitree, занявшая почти пятую часть мирового рынка человекоподобных роботов. Теперь на внутреннем рынке США будут доступны только роботы Tesla. Figure и других местных производителей. https://www.cnbc.com/2026/07/28/trump-administration-to-ban-new-chinese-robots-and-inverters-protecting-us-ai.html?ref=aisecret.u

🤣21

27 Jul 2026, 10:07 UTC819 views21 reactionsread 7 August 2026
Photo

Установили бы себе такой самозапрет?

🤣20💯1

23 Jul 2026, 08:18 UTC875 views15 reactionsread 7 August 2026
Photo

Раньше - Мошенники, Сейчас - ИИ агенты Решил провести аудит своей персональной ИИ‑ОС, у которой есть доступ ко всему: ТГ, Альфабанк, почта, календарь, проекты, серверы. Мне нужно было, чтобы он всё почистил по определённому алгоритму, прибрался и организовал всё внутри по‑новому. Но что‑то пошло не так: в процессе он понял, что ему немного не хватает данных для некоторых задач, и сначала пошёл искать информацию в

😁12👍3

19 Jul 2026, 14:19 UTC679 views19 reactionsread 7 August 2026
Forwarded from @molyanov_blog

Основы промт-инжениринга для самых маленьких Все мы знаем, что для правильной работы агентов нужно уметь правильно писать промты. Поэтому я собрал 10 примеров своих промтов, после которых агенты делали действительно что-то полезное. Все промты настоящие и многократно проверены на самых разных задачах. Ебаш Перечитай план и не еби мне мозги Сделай, пожалуйста, нормально Пиши как человек, а не как маразматичный

😁19

16 Jul 2026, 08:16 UTC769 views4 reactionsread 7 August 2026
Video

Грег Брокман поделился скиллом для Codex, который находит первых клиентов для вашего стартапа. Вставляете URL стартапа — и он начинает работу: > Автоматически определяет профиль идеального клиента > Ищет в публичных обсуждениях боли и сигналы готовности к покупке > Квалифицирует каждого потенциального клиента и оценивает его по соответствию, актуальности момента и возможности выйти на связь > Генерирует персонализи

🔥4

14 Jul 2026, 13:03 UTC868 views5 reactionsread 7 August 2026

Claude на русском оказался самым строгим Anthropic изучил, как меняется поведение Claude в зависимости от модели и языка. Исследователи выделили четыре оси: уступчивость или осторожность, теплота или строгость, глубина или краткость, откровенность или ориентация на результат. На русском Claude сильнее всего склоняется к строгости. Он чаще оспаривает предположения пользователя, исправляет детали и требует доказатель

👍41

13 Jul 2026, 19:10 UTC676 views18 reactionsread 7 August 2026

Скилл менеджера пост-нейронной эры: • Догадаться простыню из нейронки отправлять в ответ заказчику не мгновенно, а выждав хотя бы 10 минут. • Удалять фразу в конце "хотите я доработаю это под конкретного клиента?"

🤣116💯1

11 Jul 2026, 09:58 UTC718 views1 reactionsread 7 August 2026

Как уже сегодня устроен бизнес на digital-услугах На примере маркетинга хорошо видно, как меняется роль людей в компаниях, которые оказывают digital-услуги. Есть такая компания Plurio.ai — они закрывают маркетинговые задачи среднего и крупного бизнеса, я знаю основателя, его подход и видел, как они работают, ниже, это его подход в построении компании и процессов, поэтому читайте не привязываясь к маркетингу, а пере

1

10 Jul 2026, 08:08 UTC622 views2 reactionsread 7 August 2026
Photo

👩‍🍳 GPT-5.6 Sol уже доступен Напомню: Семейство GPT-5.6 - три модели: Sol (флагман, $5/$30), Terra (баланс, $2.50/$15), Luna (бюджет, $1/$6). Fable 5 для сравнения - $10/$50. Бенчи: Terminal-Bench 2.1 - 91.9% в режиме Ultra (Fable 5 - 83.1%). AA Coding Agent Index - 80, Fable 5 - 77.2. BrowseComp - 92.2%, новый рекорд. Agents' Last Exam - обходит Fable 5 на 13 пунктов. Ultra - это встроенный мульти-агент: Sol раск

2

Showing the 12 most recent of 18 posts we hold for @larkinmd07. 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

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.

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.

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.

AI Университет
@neural_university_webinar · 37,648
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 31 August 2026
💎 Зерокодер | Нейросети и AI
@oqode · 39,542
Telegram ranks this channel #22 of 92 here — alongside 91 others — read 30 August 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney
@neural_houses · 44,816
Telegram ranks this channel #83 of 92 here — alongside 91 others — read 28 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.

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.

Q140521235 on Wikidata, read 6 September 2026
LabelMikhail Larkin
DescriptionRussian AI consultant and corporate trainer, founder of AICJM.ru
Official sitehttps://larkinmd7.ru

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

“Михаил Ларькин | ИИ для роста” (@larkinmd07), 2,973 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/larkinmd07.

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.