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 the other topics.
Growth
60 measurements spanning 97 days, net +505. 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 25,209–25,866 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
11 Nov 2026, 13:47
25,790
+23
6 Nov 2026, 22:25
25,767
+12
5 Nov 2026, 23:07
25,755
+12
4 Nov 2026, 23:56
25,743
+6
3 Nov 2026, 21:47
25,737
+28
2 Nov 2026, 18:46
25,709
+25
1 Nov 2026, 16:21
25,684
+4
31 Oct 2026, 18:58
25,680
+10
30 Oct 2026, 20:19
25,670
+14
29 Oct 2026, 21:27
25,656
+19
28 Oct 2026, 21:51
25,637
+12
27 Oct 2026, 19:57
25,625
+3
25 Oct 2026, 19:41
25,622
-5
24 Oct 2026, 20:18
25,627
+2
23 Oct 2026, 16:40
25,625
+1
22 Oct 2026, 15:16
25,624
-11
21 Oct 2026, 09:36
25,635
+38
20 Oct 2026, 09:04
25,597
+12
19 Oct 2026, 08:58
25,585
+27
18 Oct 2026, 11:47
25,558
first reading
Engagement
110 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 146 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
29.1%
avg views ÷ 25,790 subscribers
Avg views / post
7,510
25 posts measured
Reaction rate
0.777%
reactions ÷ views · ER floor
Posts in window
25
of 110 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 10 November 2026
Posts held
110 (20 July 2026 – 10 November 2026)
Views total
187,630
Reactions total
1,458
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 08:40 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
13m 47s
Average length
33s
Measured directly from 25 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
5,950 reactions across 107 posts, in 9 distinct kinds. The most used accounts for 33.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,014
33.8%
🔥
1,378
23.2%
❤
1,232
20.7%
😁
729
12.3%
🤣
251
4.22%
🤡
174
2.92%
😢
84
1.41%
🗿
60
1.01%
🫡
28
0.471%
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 110 of the 110 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 6,156 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 110 most recent posts we hold, published 20 July 2026 to 10 November 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
52
across the posts below
Posts paid on
28
of 110 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 110 most recent posts we hold for this entry, published 20 July 2026 to 10 November 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.
Advertising
Ad load
1.82%
2 of 110 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
4,560
over 2 measured posts
Median views · rest
5,900
over 108 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VfnxxwuxEx
1
30 September 2026
30 September 2026
CQH36pWzJq6YGP2Cu95ARRTp3wi7bmvWoApZgncVms437A
1
6 October 2026
6 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 110 most recent posts we hold, published 20 July 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 25 posts held from the last 30 days (12.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Уже наверное видели что ночью вышла Claude Fable-5.2 🌟
Не буду тут десятый раз пересказывать спеки и бенчмарки, расскажу о своих наблюдениях:
Интересно что новые Fable/Mythos это первые модели которые Антропик при обучении специально ограничили уровнем Opus 5.5, для задач в области AI R&D
Либо это просто самая сильная защита от дистилляции ever
Либо Дарио действительно опасается рекурсивного самоулучшения (когда …
Там у инсты* вышла их монтажная прога Edits на macOS, со встроенным MCP для агентов
Попросил клод смонтировать несколько видео и вот что могу сказать:
Это аналог CapCut, но без всяких ограничений на экспорт, без водяных знаков и полностью бесплатно
В настройках даже есть copy-ready команды чтобы подключить Codex, Claude или Muse
После этого агенту станет доступно по MCP 300+ тулов, которые покрывают почти весь ин…
Бесплатный Figma MCP без лимитов
Хотел вчера дать агенту доступ к фигме и удивился что оказывается на бесплатном тире лимит всего 20 MCP-вызовов в месяц(
Посерчил как это можно обойти, и нашел на гитхабе figma-console-mcp — опенсурс плагин, с помощью которого агент может юзать Plugin API фигмы как настоящий MCP
Схема в том, что у Plugin API вообще нету лимитов на вызовы, и при этом к такому плагину можно обращатьс…
Если вы по какой-то причине всё еще не юзаете проактивных ботов по типу Muse, дайте хотя бы своему агенту в терминале собственную песочницу
Для macOS есть как раз опенсурс утилита terminal-mac, которая прям в CLI поднимает настоящую виртуальную macOS
1/ Агент создает себе чистую VM
2/ Обращается туда через MCP и скиллы
3/ Имеет там отдельные логины, проекты и тд
4/ Не отвлекает вас на основной машине
Только для эт…
на ютубе есть осинт эксперимент, где парень берет рандомное видео каких-то шакальных деревьев, и по звуку пролетающих мимо самолетов вычисляет точное место и время где оно было снято
https://www.youtube.com/watch?v=UytYrhYLOKI
Единственные вводные которые у него были:
- видео снято где-то в сша
- день съемки 09/08/2026
Имея только эти данные он в итоге вышел на конкретный столб в Нью-Йорке, с уличной камерой на ко…
Немного оффтопа: возможно слышали пару дней назад хакеры взломали Binance и вывели оттуда $6,34 млрд в крипте
Мне как бывшему юзеру бананса было интересно следить за ситуацией и шиза теориями что это Mythos вырвался на свободу
Спойлер: ИИ тут реально причастен))
Они прям только что запостили отчет о том что произошло (мало конкретики, но всё же):
Июнь 2026
Инженер A из команды кошельков хотел поставить какой-то по…
Хед по дизайну X и SpaceXAI выложил очень полезный скилл, который как раз решает у агентов проблему чувства стиля из прошлого поста
https://benji.org/stageshow
Он дает агенту идеологию как делать faux UI (красивые демо интерфейсов для лендингов, промо-моушенов, инфографики и тд)
(прикрепил к посту примеры, это всё нарисовал и анимировал агент не используя запись экрана)
Как работает внутрянка, если интересно:
1. …
Видеомонтаж сейчас там же, где был вайбкодинг год назад
Если помните, месяц назад я писал как Opus 5.5 крут в монтаже и делает видео на 1,5 минуты с озвучкой и саунд дизайном
Тогда это было больше как эксперимент, но в итоге у меня теперь половина воркфлоу работает на этом)
Например у нас для hypescribe есть горизонтальный промо-моушен, а нам под рекламу в Google Ads и другие, чтобы потестить разные креативны нужн…
Мои друзья делают крутую онлайн-конфу AI Dev про то, как сейчас устроена разработка с агентами.
Пройдёт она 11–12 ноября. Первая конфа у ребят получилась очень масштабно, и, думаю, в этот раз будет ещё масштабнее.
Говорить будут про то, как теперь делать продукты, когда рядом с людьми работают автономные агенты и мультиагентные системы.
Так же про то, как перестроить под AI компанию и процессы, чему учиться и кого…
OpenAI подняла лимиты Pro и отменила завтрашнее урезание
В Pro за $100 и $500 теперь вдвое больше включённого использования ChatGPT Work и Codex. Цены подписок остались прежними
С Pro за $200 история интереснее. Старым подписчикам собирались с 30 октября сократить доступный объём работы. Теперь это решение отменили: у кого уже был высокий лимит, тот его сохраняет. У кого был пониженный, его удвоили до того же уровн…
Судя по всему сейчас идет новая волна банов в Claude
Некоторым начала прилетать проверка KYC, где нужно подтвердить личность любым документом
Пока висит эта проверка, аккаунт лочится и нельзя пользоваться клодом, продлевать подписку и тд
На реддите парень из России живущий в Новой Зеландии написал что тоже получил такую проверку, загрузил туда паспорт рф и моментально получил бан
Намекая что проблема не в локации…
Кстати про опенсурс, пора бы сохранить топ открытых моделей без цензуры
Особенно на фоне новостей что в клоде теперь срабатывает safeguard если вы пытаетесь что-либо реверсить, даже телевизор как мы когда-то делали 😣
Прямо сейчас из интересных:
1. GLM-5.3 Uncensored и Flash Abliterated
2. DeepSeek V4.1 Flash 1017 Uncensored
3. Qwen3.8-27B Abliterated или Flash-Next
4. Gemma 4 Uncensored (Venice)
5. Mistral-24B (Ven…
👍32🔥10🫡8❤4
Showing the 12 most recent of 110 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.
Posts edited after publishing
@tips_ai edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 October 2026
Most recent edit
9 October 2026
Posts recorded as deleted after publishing
We recorded 4 posts on @tips_ai as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
28 August 2026
Most recent seen missing
29 October 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
3
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 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 14 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Lama AI @lama_channel_gpt · 24,017 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 15 September 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,625 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 18 September 2026
ИИ Представляет @iirepresent · 115,644 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 23 August 2026
Бурый @sburyi · 20,159 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 4 October 2026
Миша, давай по новой @misha_davai_po_novoi · 19,123 Telegram ranks this channel #7 of 95 here — alongside 94 others — read 4 October 2026
Силиконовый Мешок @prompt_design · 92,791 Telegram ranks this channel #9 of 96 here — alongside 95 others — read 18 August 2026
Смотри, Морозов и ИИ @mmmorozov · 62,924 Telegram ranks this channel #11 of 96 here — alongside 95 others — read 23 August 2026
CyberYozh AI Security @CyberYozh_AI_security · 26,008 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 12 September 2026
NeuroADEPT @neuroadepts · 40,362 Telegram ranks this channel #14 of 85 here — alongside 84 others — read 29 August 2026
PROAI @pro_ai_news · 87,352 Telegram ranks this channel #16 of 92 here — alongside 91 others — read 16 August 2026
Neurogen @neurogen_news · 22,916 Telegram ranks this channel #19 of 88 here — alongside 87 others — read 19 September 2026
Neural Brain - Нейросети @neural_braining · 21,230 Telegram ranks this channel #22 of 90 here — alongside 89 others — read 23 September 2026
Нейроновости @neuranews · 19,403 Telegram ranks this channel #23 of 87 here — alongside 86 others — read 30 September 2026
Нейроскептик @neuroskep · 29,744 Telegram ranks this channel #25 of 90 here — alongside 89 others — read 8 September 2026
Технологии | Нейросети | Боты @aiaiai · 174,276 Telegram ranks this channel #27 of 93 here — alongside 92 others — read 12 August 2026
PRO | Нейросети @pro_neiroset · 31,337 Telegram ranks this channel #28 of 86 here — alongside 85 others — read 5 September 2026
Ai molodca @strangedalle · 47,602 Telegram ranks this channel #28 of 94 here — alongside 93 others — read 27 August 2026
Метаверсище и ИИще @cgevent · 53,591 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 25 August 2026
НейроТудей | Переходник @NeuralToday · 4 Telegram ranks this channel #30 of 85 here — alongside 84 others — read 7 September 2026
Арон Закрия @aironzak · 118,010 Telegram ranks this channel #32 of 80 here — alongside 79 others — read 3 September 2026
let media @let_media · 61,212 Telegram ranks this channel #32 of 76 here — alongside 75 others — read 21 August 2026
Ринат Шакиров | Промпты для Midjourney | ChatGPT | @dailyprompts · 42,497 Telegram ranks this channel #33 of 91 here — alongside 90 others — read 29 August 2026
involta - технологии, наука, будущее, IT, интернет! @involta · 33,715 Telegram ranks this channel #38 of 89 here — alongside 88 others — read 3 September 2026
🟡NeuroGraph @neyr0graph · 34,280 Telegram ranks this channel #41 of 90 here — alongside 89 others — read 3 September 2026
This channel appears in 37 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Tips AI | IT & AI” (@tips_ai), 25,790 subscribers as measured 11 November 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.