Культурно освещаю самые и не самые важные новости из мира AI, и облагораживаю их своим авторитетным профессиональным мнением.
Ex-Staff Research Scientist в Meta Generative AI. Сейчас CEO&Founder AI стартапа в Швейцарии.
Aвтор: @asanakoy
PR: @ssnowysnow
Created
23 July 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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
65 measurements spanning 100 days, net +2,836. 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 95,168–98,854 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
14 Nov 2026, 08:10
98,429
+90
11 Nov 2026, 10:06
98,339
+77
9 Nov 2026, 14:50
98,262
+1
8 Nov 2026, 09:00
98,261
+12
7 Nov 2026, 06:40
98,249
+31
6 Nov 2026, 05:17
98,218
+27
5 Nov 2026, 05:10
98,191
+31
4 Nov 2026, 06:30
98,160
+48
3 Nov 2026, 03:10
98,112
+47
2 Nov 2026, 00:31
98,065
+22
1 Nov 2026, 01:58
98,043
+33
31 Oct 2026, 05:10
98,010
+54
30 Oct 2026, 01:50
97,956
+55
29 Oct 2026, 01:59
97,901
+68
27 Oct 2026, 21:18
97,833
+67
26 Oct 2026, 18:58
97,766
+37
25 Oct 2026, 16:35
97,729
+18
24 Oct 2026, 19:17
97,711
+18
23 Oct 2026, 17:27
97,693
+29
22 Oct 2026, 14:29
97,664
first reading
Engagement
135 posts held, back to 16 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 214 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
36.8%
avg views ÷ 98,429 subscribers
Avg views / post
36,200
27 posts measured
Reaction rate
0.601%
reactions ÷ views · ER floor
Posts in window
27
of 135 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 13 November 2026
Posts held
135 (16 July 2026 – 13 November 2026)
Views total
977,100
Reactions total
5,873
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 03:39 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
≈2,070
Videos
≈1,080
Links
≈2,420
Lifetime counters from Telegram’s own channel header, read 15 November 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
22m 12s
Average length
38s
Measured directly from 35 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
31,326 reactions across 134 posts, in 15 distinct kinds. The most used accounts for 29.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
9,275
29.6%
😁
6,674
21.3%
❤
5,590
17.8%
👍
4,222
13.5%
🤯
2,688
8.58%
🦄
527
1.68%
🫡
484
1.55%
🤩
471
1.50%
😱
393
1.25%
💔
264
0.843%
😍
230
0.734%
💯
149
0.476%
❤🔥
133
0.425%
⚡
118
0.377%
🙏
108
0.345%
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 135 of the 135 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 31,728 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 135 most recent posts we hold, published 16 July 2026 to 13 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
126
across the posts below
Posts paid on
46
of 135 we hold a reading for · 34%
Most on one post
33
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai_newz. 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 135 most recent posts we hold for this entry, published 16 July 2026 to 13 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.
Recent posts
Telegram’s own ‘edited’ marker: 7 of 27 posts held from the last 30 days (25.9%) 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).
Thinking Machines выложили веса Inkling 2 Small
Это MoE на 594 миллиарда параметров с 17B активных. Претрейн закончили всего за 68 часов, использовав 12 триллионов токенов. На RL ушло ещё 9 дней кластера в 2048 видеокарт. При этом модель вполне себе конкурентоспособна с китайскими моделями 2-3 месячной давности. Для запуска этой малышки нужны две B300 или четыре H200. Ждём версию побольше.
Веса
Блогпост
@ai_newz
Агент, который сам разбирает рабочие документы и собирает отчёт
С 12 ноября действует уточнённая политика Anthropic. В ней прямо прописано, что ограничения для российских компаний распространяются и на их сотрудников за рубежом. API и авторизованных реселлеров это тоже касается.
Тем, кто в РФ, и у кого на Claude завязаны рабочие процессы, пригодится инструмент с доступом из России.
В Искре можно подключить к чату …
Дженсен Хуанг покидает пост CEO Nvidia
Роль CEO займут временно займёт CFO компании, пока совет директоров ищет замену.
https://nvidianews.nvidia.com/news/nvidia-announces-ceo-transition
@ai_newz
У Google теперь есть свой Jev
Gemini Decisions мультимодальна — может принимать на вход видео, аудио, изображения и текст. Цена $0.10 за миллион входных токенов, в AI Studio можно попробовать бесплатно.
@ai_newz
MiniMax выкатили H3-Image с нативным 4K
Из видеомодели H3 сделали генератор картинок. Рисует нативные 4096×4096 за шесть шагов. Можно дать промпт в 32 000 символов и до 16 референсов.
Генерации 4K по тексту составила ~10,3 секунд в Highspeed и 16 секунд в Standard. У Nano Banana 2.1 с thinking medium в том же тесте вышло 50 секунд. В API такая генерация в Standard стоит ~$0,07, но сейчас скидки 50% на старте. До 2…
Google открыли доступ к Gemini 4 Carbon
Carbon сделали на базе Argon для задач, где агенту надо долго копаться в коде или проверять гипотезы. На рассуждения уходит больше токенов, чем у Argon. В демке Google модель собрала интерактивный 3D-симулятор, который на лету синтезирует пение шести видов птиц. Можно даже раскрывать клюв и слушать, как меняется звук.
На новом бенче MKA агенту дают пачку чертежей и других фай…
OpenAI выпустили ретроконсоль для вайбкодеров
После клавиатуры для вайбкодинга OpenAI добрались до Game Boy. В их магазине мерча появилась ModRetro Chromatic Codex Edition за $200. Она читает картриджи Game Boy и Game Boy Color, а в комплекте идёт перезаписываемый картридж для своих игр.
С плагином ModRetro можно описать игру в Codex и попросить его собрать уровни и анимировать спрайты. В демо Codex добавил уровень…
Anthropic выпустили Fable 5.2
Модель на 30% быстрее чем 5.1. Цену сбросили с прошлого поколения на 20%, теперь модель стоит $8/$40 за миллион токенов. Модель уже доступна в API и подписке, первую неделю даже Pro подписчикам. Max, Ultra и Team подписчикам выдали от одного до трёх ресетов лимитов Fable, в зависимости от того сколько они подписаны на Claude, Pro выдали один.
Блогпост
@ai_newz
Тот самый момент когда Дженсен Хуанг попался на удочку китайской шпионки
Контекст: совет директоров Nvidia начал расследование по поводу романа Хуанга с бывшей руководительницей компании Megaspeed. Её, по данным разведки США, завербовали китайские спецслужбы, уже после начала отношений с Хуангом. По слухам, она склоняла Хуанга к продаже видеокарт в Китай. После всплывших фактов, подкаст Хуанга с Дваркешем смотрится …
На fal раздают бесплатные генерации в FLUX 3 Max
Если в вечер воскресенья нечем заняться (не мой случай).
До 9 ноября включительно можно бесплатно генерировать ролики со звуком до 15 секунд в 720p по тексту или картинке. Для первых попыток не нужны аккаунт и кредиты. После входа и верификации лимит выше.
Это та самая версия FLUX 3, которую fal дотренировали вместе с BFL.
Попробовать
@ai_newz
Google выкатили Gemini Omni 1.2 Flash
Теперь Omni генерирует и редактирует клипы со звуком до 15 секунд. В 1.1 было максимум 10.
Секунда готового видео в 720p через API стоит около $0,07, на 30% дешевле, чем у 1.1 Flash. Входные токены считают отдельно. 1080p и 4K по-прежнему получаются апскейлом.
Потыкать можно в AI Studio и Flow. В самом приложении Gemini для 15-секундных роликов нужен Google AI Ultra.
Анонс
Mo…
Веса Kimi K3.1 Pro
Как оказалось кроме обновлённого посттрейна, Moonshot немного обновили и архитектуру, заменив Gated MLA на Gated DSA, что повысило эффективность модели при большом контексте. Поздравляю всех GPU богачей.
https://huggingface.co/moonshotai/Kimi-K3.1-Pro
@ai_newz
🔥135👍43❤21⚡3🙏2
Showing the 12 most recent of 135 posts we hold for @ai_newz. 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
@ai_newz edited 3 posts 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
22 August 2026
Most recent edit
11 October 2026
Posts recorded as deleted after publishing
We recorded 11 posts on @ai_newz 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
23 August 2026
Most recent seen missing
12 November 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
5
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 76 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 136 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 16 August 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.
Yandex for ML @yandexforml · 19,153 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 4 October 2026
Kali Novskaya @rybolos_channel · 19,140 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 4 October 2026
Neurogen @neurogen_news · 22,907 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 19 September 2026
gonzo-обзоры ML статей @gonzo_ML · 24,697 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 16 September 2026
Нейроскептик @neuroskep · 29,742 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 8 September 2026
Метаверсище и ИИще @cgevent · 53,671 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 25 August 2026
e/acc @cryptoEssay · 63,674 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 21 August 2026
Сиолошная @seeallochnaya · 81,358 Telegram ranks this channel #1 of 97 here — alongside 96 others — read 19 August 2026
Data Secrets @data_secrets · 96,296 Telegram ranks this channel #1 of 98 here — alongside 97 others — read 17 August 2026
Denis Sexy IT 🤖 @denissexy · 140,845 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 13 August 2026
Machinelearning @ai_machinelearning_big_data · 275,343 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 10 August 2026
Not Boring Tech @notboring_tech · 21,328 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 26 September 2026
CyberYozh AI Security @CyberYozh_AI_security · 25,966 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 12 September 2026
Sber AI @SberAIScience · 26,445 Telegram ranks this channel #2 of 95 here — alongside 94 others — read 10 September 2026
LLM под капотом @llm_under_hood · 30,295 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 9 September 2026
Ai molodca @strangedalle · 47,620 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 27 August 2026
Lama AI @lama_channel_gpt · 24,314 Telegram ranks this channel #3 of 90 here — alongside 89 others — read 15 September 2026
TechSparks @techsparks · 46,744 Telegram ranks this channel #3 of 97 here — alongside 96 others — read 27 August 2026
Малоизвестное интересное @theworldisnoteasy · 74,331 Telegram ranks this channel #3 of 94 here — alongside 93 others — read 19 August 2026
Tips AI | IT & AI @tips_ai · 25,986 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 14 September 2026
Machine learning Interview @machinelearning_interview · 30,556 Telegram ranks this channel #4 of 98 here — alongside 97 others — read 7 September 2026
addmeto @addmeto · 72,013 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 20 August 2026
Техасский Вестник @starbasepost · 19,279 Telegram ranks this channel #5 of 92 here — alongside 91 others — read 4 October 2026
Бурый @sburyi · 20,098 Telegram ranks this channel #5 of 93 here — alongside 92 others — read 4 October 2026
This channel appears in 217 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“эйай ньюз” (@ai_newz), 98,429 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/ai_newz.
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.