Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 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
28 measurements spanning 31 days, net +43. 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 25,279–25,334 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
6 Sept 2026, 11:19
25,328
+12
4 Sept 2026, 06:22
25,316
+13
2 Sept 2026, 17:13
25,303
-3
1 Sept 2026, 12:47
25,306
-5
31 Aug 2026, 15:53
25,311
+3
30 Aug 2026, 14:15
25,308
+3
29 Aug 2026, 12:28
25,305
-4
28 Aug 2026, 12:03
25,309
-10
27 Aug 2026, 08:54
25,319
+3
26 Aug 2026, 08:14
25,316
+4
25 Aug 2026, 09:54
25,312
-1
24 Aug 2026, 12:34
25,313
+13
22 Aug 2026, 17:43
25,300
-5
21 Aug 2026, 10:03
25,305
-6
20 Aug 2026, 06:45
25,311
+15
18 Aug 2026, 13:26
25,296
+9
17 Aug 2026, 10:22
25,287
-10
15 Aug 2026, 19:07
25,297
-11
14 Aug 2026, 09:54
25,308
-3
13 Aug 2026, 02:45
25,311
first reading
Engagement
51 posts held, back to 20 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.8%
avg views ÷ 25,328 subscribers
Avg views / post
5,030
28 posts measured
Reaction rate
0.932%
reactions ÷ views · ER floor
Posts in window
28
of 51 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 2 September 2026
Posts held
51 (20 July 2026 – 2 September 2026)
Views total
140,710
Reactions total
1,312
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 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.
What this channel posts
Video runtime
5m 26s
Average length
33s
Measured directly from 10 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
2,690 reactions across 48 posts, in 9 distinct kinds. The most used accounts for 32.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
861
32.0%
❤
587
21.8%
🔥
568
21.1%
😁
344
12.8%
🤣
133
4.94%
🤡
106
3.94%
😢
53
1.97%
🗿
33
1.23%
🫡
5
0.186%
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 51 of the 51 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 2,896 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 20 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
26
across the posts below
Posts paid on
13
of 51 we hold a reading for · 25%
Most on one post
6
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tips_ai. 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 51 most recent posts we hold for this entry, published 20 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.
В последняя время было много проблем с тем в каком стиле отвечают модели антропиков, в частности Opus 5 и Fable 5
Решил почитать их промт-гайд для новой Fable 5.1, так что вот главные советы как улучшить письмо:
1.
Да, у неё текст стал чище, меньше шаблонных фраз и тд, но из того что я и сам заметил, она теперь отвечает сплошным текстом из длинных предложений и кучи стилистических оборотов
Например, вместо "этот п…
Так, давайте еще поговорим про GEO (Generative Engine Optimization) - продвижение бренда в ответах нейросетей, аналог SEO для ИИ.
Но попасть в ответы нейросетей — только половина задачи. Ещё нужно понимать, где и как часто бренд там появляется.
Каждый раз прогонять бренд по ChatGPT, Perplexity, Claude и остальным моделям, отслеживая позиции, муторно.
Нашел интересный проект ГЕОранк. Он собирает аналитику по основны…
Так же Google выпустили новый агентный режим обработки видео в Gemini
В этом режиме у модели теперь есть больше свободы выбора и тулов для понимания видео:
- Анализировать одновременно картинку, аудио и транскрипт
- Менять FPS и разрешение
- Переходить к нужному таймкоду и запрашивать отдельные кадры
- Делать транскрипт отдельных участков
- Повторять несколько циклов анализа подряд
Для контекста, раньше Gemini прос…
Тут новые графики у Антропиков, красиво ☕️
Выкатили Claude Fable 5.1 и Mythos 5.1.
Fable так же будет доступен всем, а Mythos выдают по программам проверенного доступа для кибербезопасности и биологии.
Работа с Fable 5.1 подешевела примерно на 25% на обычных задачах и до 45% на агентных.
При этом сами тарифы не трогали: вход как был $10 за миллион токенов, выход $50. Подешевело только чтение из кэша, было $1 за м…
Если у вас телек на Android TV, то скорее всего вас как и меня тоже задолбали постоянные лаги, медленная работа и тд
Так что делюсь как сегодня с клодом оптимизировали и почистили лишний мусор:
Использовал этот готовый промт (не помещается в пост)
Вообще, агент сам должен провести вас по всем этапам, но на всякий случай там еще есть гайд как включить режим разработчика
Для него не нужен рут, и он ничего не удаляе…
Пятница, самое время посмотреть куда мы тратили больше всего токенов на этой неделе 😏
Для Claude Code есть супер скилл, который разбирает логи сессий и на основе API запросов считает расход токенов
Собирает всё это в красивый понятный HTML отчётик
С разбивкой по времени, проектам, моделям, файлам, MCP-серверам, скиллам, субагентам и тд
Несколько примеров как юзать:
/tare report [дней] — отчёт с графиками
/tare us…
Нашел интересный проект, с помощью которого из старенького iPhone можно сделать бесплатный OCR-сервер:
Это опен-сурс приложение для iOS, которое использует Vision - эпловский бесплатный on-device фреймворк
(мы его знаем как функцию выделения текста на картинках)
Всё очень просто:
1/ На айфоне поднимается мини-HTTP-сервер и показывается IP для подключения
2/ По API серверу отправляется картинка
4/ И передается в Vi…
Знаете, я пишу про инструменты ИИ, но никогда не пишу, что при этом происходит с компаниями и людьми внутри.
Ведь даже в эру ИИ (и тем более в эру ИИ) компании делают сильные люди и культура.
Интересный пост в этом контексте увидел у Лены Черниковой: https://t.me/heyho_chernikova/1517
Всё меняется так быстро, что планы на годы вперёд не работают. Поэтому ценят людей, готовых переучиваться и менять роль.
Вообще ре…
Простенький скилл который добавляет ASCII прогресс-бары в вывод агента, которые он обновляет по мере выполнения задачи:
💀💀💀💀💀💀💀💀💀💀💀
Считает прогресс по 3–7 проверяемым контрольным точкам, а не по времени (например пройденный тест, созданный артефакт, принятый ревью и тп)
Установка:
npx skills add tjcages/skills --skill progress-check
GitHub
@tips_ai #tools
Это пожалуй первый skill который я желаю вам никогда не устанавливать
/fuck-cancer — помогает пациентам с раком разбираться в лечении, документах, следующих шагах и вопросах к врачам
При первом запуске описываешь симптомы или если есть выписку/биопсию
Агент анализирует все вводные и заводит один единственный файл как источник правды
Который хранится либо локально в markdown, либо в облаке Google Doc
Этот файл-бр…
Кстати помните пост что Codex доводит задачу до конца даже если кончился лимит?
Фичу убрали... 🥰
Из-за того что в твиттере одна девушка выложила харнесс чтобы абузить лимиты, превращая последний ответ в бесконечную сессию.
Через такой механизм:
1/ Codex как обычно начинает выполнять задачу
2/ Получает инструмент wait_for_user_input
3/ Когда задача готова, не заканчивает вывод, а вызывает этот тул и ждет
4/ Юзер от…
😁41😢16❤6👍3🗿1
Showing the 12 most recent of 51 posts we hold for @tips_ai. 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.
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 34 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.
ИИ Представляет @iirepresent · 121,322 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 23 August 2026
Силиконовый Мешок @prompt_design · 85,163 Telegram ranks this channel #9 of 96 here — alongside 95 others — read 18 August 2026
Смотри, Морозов и ИИ @mmmorozov · 61,292 Telegram ranks this channel #11 of 96 here — alongside 95 others — read 23 August 2026
NeuroADEPT @neuroadepts · 41,534 Telegram ranks this channel #14 of 85 here — alongside 84 others — read 29 August 2026
PROAI @pro_ai_news · 91,491 Telegram ranks this channel #16 of 92 here — alongside 91 others — read 16 August 2026
Нейроскептик @neuroskep · 29,500 Telegram ranks this channel #25 of 90 here — alongside 89 others — read 8 September 2026
Технологии | Нейросети | Боты @aiaiai · 176,605 Telegram ranks this channel #27 of 93 here — alongside 92 others — read 12 August 2026
PRO | Нейросети @pro_neiroset · 31,941 Telegram ranks this channel #28 of 86 here — alongside 85 others — read 5 September 2026
Ai molodca @strangedalle · 46,923 Telegram ranks this channel #28 of 94 here — alongside 93 others — read 27 August 2026
Метаверсище и ИИще @cgevent · 51,912 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 25 August 2026
Bard AI | Нейросети & IT @NeuralToday · 30,585 Telegram ranks this channel #30 of 85 here — alongside 84 others — read 7 September 2026
Арон Закрия @aironzak · 118,869 Telegram ranks this channel #32 of 80 here — alongside 79 others — read 3 September 2026
Культ Трендов | let media @let_media · 64,888 Telegram ranks this channel #32 of 76 here — alongside 75 others — read 21 August 2026
Ринат Шакиров | Промпты для Midjourney | ChatGPT | @dailyprompts · 42,477 Telegram ranks this channel #33 of 91 here — alongside 90 others — read 29 August 2026
involta - технологии, наука, будущее, IT, интернет! @involta · 34,383 Telegram ranks this channel #38 of 89 here — alongside 88 others — read 3 September 2026
🟡NeuroGraph @neyr0graph · 34,444 Telegram ranks this channel #41 of 90 here — alongside 89 others — read 3 September 2026
Serge_AI 1.0 @serge_ai · 57,652 Telegram ranks this channel #41 of 99 here — alongside 98 others — read 23 August 2026
GeekNeural @geekneural · 63,459 Telegram ranks this channel #43 of 92 here — alongside 91 others — read 21 August 2026
Нейролента @neirosety · 30,450 Telegram ranks this channel #47 of 87 here — alongside 86 others — read 7 September 2026
GPT-4 Community @gpt4_tg · 54,751 Telegram ranks this channel #49 of 90 here — alongside 89 others — read 23 August 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney @neural_houses · 44,782 Telegram ranks this channel #51 of 92 here — alongside 91 others — read 28 August 2026
SYNTX FAMILY @syntxfamily · 324,590 Telegram ranks this channel #53 of 93 here — alongside 92 others — read 22 August 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 58,763 Telegram ranks this channel #54 of 95 here — alongside 94 others — read 22 August 2026
AI Университет @neural_university_webinar · 37,635 Telegram ranks this channel #56 of 96 here — alongside 95 others — read 31 August 2026
This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 6 September 2026 — this
entry's latest reading, not the date you are reading this.
“Tips AI | IT & AI” (@tips_ai), 25,328 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/tips_ai.
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.