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Channel

эйай ньюз

@ai_newz

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

96,889subscribers

+1,296 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001466120158
TypeChannel
Username@ai_newz
DescriptionКультурно 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
Created23 July 2020 — 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/ai_newz

Topic

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

95,59396,88996,2415 August 2026 — 95,593 subscribers6 August 2026 — 95,593 subscribers6 August 2026 — 95,671 subscribers8 August 2026 — 95,712 subscribers8 August 2026 — 95,741 subscribers9 August 2026 — 95,755 subscribers10 August 2026 — 95,778 subscribers11 August 2026 — 95,775 subscribers12 August 2026 — 95,797 subscribers14 August 2026 — 95,892 subscribers15 August 2026 — 96,023 subscribers17 August 2026 — 96,072 subscribers18 August 2026 — 96,087 subscribers19 August 2026 — 96,202 subscribers20 August 2026 — 96,197 subscribers21 August 2026 — 96,205 subscribers22 August 2026 — 96,240 subscribers24 August 2026 — 96,268 subscribers25 August 2026 — 96,295 subscribers26 August 2026 — 96,319 subscribers27 August 2026 — 96,356 subscribers28 August 2026 — 96,391 subscribers30 August 2026 — 96,415 subscribers31 August 2026 — 96,422 subscribers1 September 2026 — 96,443 subscribers2 September 2026 — 96,475 subscribers3 September 2026 — 96,500 subscribers4 September 2026 — 96,617 subscribers7 September 2026 — 96,728 subscribers10 September 2026 — 96,790 subscribers12 September 2026 — 96,772 subscribers14 September 2026 — 96,808 subscribers15 September 2026 — 96,845 subscribers18 September 2026 — 96,889 subscribers5 August 202618 September 2026
34 measurements spanning 43 days, net +1,296. 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 95,399–97,083 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, 01:3996,889+44
15 Sept 2026, 17:5696,845+37
14 Sept 2026, 04:1996,808+36
12 Sept 2026, 12:3596,772-18
10 Sept 2026, 13:3996,790+62
7 Sept 2026, 09:2096,728+111
4 Sept 2026, 15:0096,617+117
3 Sept 2026, 01:1596,500+25
2 Sept 2026, 00:5496,475+32
1 Sept 2026, 02:4696,443+21
31 Aug 2026, 00:1896,422+7
30 Aug 2026, 01:0796,415+24
28 Aug 2026, 21:5296,391+35
27 Aug 2026, 20:1796,356+37
26 Aug 2026, 18:0496,319+24
25 Aug 2026, 17:1796,295+27
24 Aug 2026, 16:1696,268+28
22 Aug 2026, 22:4996,240+35
21 Aug 2026, 09:5596,205+8
20 Aug 2026, 11:3796,197first reading

Engagement

86 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 117 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.4%
avg views ÷ 96,889 subscribers
Avg views / post
32,400
33 posts measured
Reaction rate
0.793%
reactions ÷ views · ER floor
Posts in window
33
of 86 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 29 September 2026
Posts held86 (16 July 2026 – 29 September 2026)
Views total1,069,000
Reactions total8,473
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 15:22 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
≈2,050
Videos
≈1,060
Links
≈2,380

Lifetime counters from Telegram’s own channel header, read 29 September 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
13m 04s
Average length
46s

Measured directly from 17 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

21,246 reactions across 85 posts, in 15 distinct kinds. The most used accounts for 31.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6,58031.0%
😁4,68822.1%
❤3,82318.0%
👍2,70812.7%
🤯1,7618.29%
🦄3381.59%
🤩2971.40%
😱2561.20%
😍2151.01%
🫡1270.598%
💯1260.593%
💔1160.546%
⚡870.409%
❤‍🔥870.409%
🙏370.174%

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 86 of the 86 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 21,648 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 86 most recent posts we hold, published 16 July 2026 to 29 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
103
across the posts below
Posts paid on
30
of 86 we hold a reading for · 35%
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 86 most recent posts we hold for this entry, published 16 July 2026 to 29 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.

Recent posts

29 Sept 2026, 07:10 UTC≈19,400 views339 reactionsread 29 September 2026
Photo

OpenAI режут лимиты $200 подписки Pro в два раза Вместе с этим снова открывают возможность подписаться на этот тир подписки. Оправдывают это тем что количество сделанного всё равно будет выше чем у Pro подписки месяц назад (пока ещё не вышла Astra) и тем что обещают не возвращать пятичасовые лимиты. Плюс обещают добавить в подписку что-то новое, что не будет юзать лимиты. Ну и это всё происходит на фоне отмены рели…

😁211😱61🤯37💔14❤5👍5🦄5🔥1

28 Sept 2026, 14:08 UTC≈18,000 views53 reactionsread 29 September 2026

Нейродайджест за неделю (#132) LLM - GPT-6 Sol и Luna — OpenAI выпустила две модели с API-ценами $2/$10 и $0,10/$0,50 за миллион входных/выходных токенов. - Claude Opus 5.5 — Anthropic заявляет уровень Fable 5.1 на большинстве задач; цена в API — $4/$20 за миллион токенов. - Alice AI Foundation — Яндекс открыл веса MoE-претрейна 80B-A3B, обученного с нуля, под Apache 2.0. - Grok 4.7 — xAI перешла на более крупную ба…

👍32❤11😁5🔥3😍2

28 Sept 2026, 12:01 UTC≈18,900 views91 reactions1 Starread 29 September 2026
Photo

Про ML в маркетплейсах Ozon Tech традиционно провёл ко Дню программиста конференцию E-CODE. Записи докладов уже выложили. В треке ML/DS разбирали в том числе рекомендательную систему Ozon. Компания постепенно переводит на нейросетевые модели разные этапы пайплайна, от отбора кандидатов до финального ранжирования. При этом система должна учитывать продажи, рекламу, вовлечённость и LTV. В докладе также разобрали архит…

😁43❤23👍17🔥7🫡1

25 Sept 2026, 17:20 UTC≈22,800 views128 reactionsread 29 September 2026
Video

BFL выпустили FLUX 3 Action для управления роботами BFL дообучили основу видеомодели FLUX 3 на записях работы роботов, где кадры с камер синхронизированы с положениями суставов и действиями. Модель на 7B учится совместно восстанавливать из шума будущие кадры и последовательность движений. По текстовой задаче, текущим кадрам и состоянию робота она предсказывает движения суставов и захвата вместе с их визуальным резу…

👍61🔥43❤15❤‍🔥3😁3🦄2🤩1

25 Sept 2026, 15:13 UTC≈23,500 views178 reactionsread 29 September 2026
Photo

LLM становятся частью рабочих процессов Скиллы позволяют один раз задать порядок работы с документом или отчётом и затем его переиспользовать. Агенту не нужно повторять одни и те же инструкции в каждом запросе. Голосовые агенты через Realtime API могут вести диалог и вызывать инструменты по ходу разговора, например искать по файлам или обращаться к CRM. Это позволяет связать разговор с данными и сервисами компании.…

😁118👍26❤14🫡7🦄6⚡5😱2

25 Sept 2026, 08:10 UTC≈28,400 views298 reactionsread 29 September 2026

OpenAI готовит Pro Max подписку за $500 в месяц Датамайнеры нашли упоминания нового тира подписки в фронтенде ChatGPT, из уникальных фич "более быстрый Codex и Work", скорее всего речь идёт о доступе к Cerebras в подписке. Насколько большие там лимиты непонятно, а представить её могут уже на DevDay в следующий вторник. Ну а тем временем оформить Pro подписку за $200 всё ещё нельзя. @ai_newz

😁159🤯77👍29❤15🔥7💔6😱5

24 Sept 2026, 16:26 UTC≈25,300 views84 reactions2 Starsread 29 September 2026

Нейродайджест за неделю (#131) LLM - Siri AI — Apple запустила англоязычную бету с личным контекстом, пониманием экрана и действиями между приложениями. - Gemini 3.8 Live — две голосовые модели с визуальным контекстом и фоновыми tool calls. Extended Thinking умеет рассуждать и говорить одновременно. - Qwen3.8-Omni-Flash — принимает текст, изображения, аудио и видео, имеет контекст 1M и возвращает текст. Есть thinkin…

🔥43👍18❤16⚡7

24 Sept 2026, 13:31 UTC≈26,000 views343 reactionsread 29 September 2026

Яндекс открыл веса Alice AI Foundation LLM Alice AI Foundation LLM представляет собой собственный MoE-претрейн Яндекса. Весь цикл обучения провели с нуля, без стартовых весов сторонних открытых моделей. В модели 80B параметров, из которых на каждый токен активируются 3B. Это меньше, чем у большинства других открытых претрейнов, но по бенчам результаты в паритете, а иногда и лучше. При обучении отдельно оптимизирова…

👍175😁86🔥40❤27🦄8🫡5💔2

22 Sept 2026, 18:20 UTC≈29,600 views333 reactions1 Starread 29 September 2026
Photo

GPT 6 Sol и Luna Лучше чем 5.6, при этом в два раза дешевле и использует меньше лимитов Codex. Sol теперь стоит $2/$10 за миллион токенов, прямо как Sonnet. Цену Luna вообще скинули до $0.1/$0.5 за миллион токенов, то есть цену по сравнению с оригинальной 5.6 Luna сбросили в 10 раз. Ну и подписчикам завезли banked reset. Блогпост @ai_newz

❤185🔥95👍34🤯10😁9

22 Sept 2026, 16:39 UTC≈30,700 views384 reactions1 Starread 29 September 2026
Photo

Anthropic выпустили Opus 5.5 По бенчам на уровне Fable 5.1, уже доступен в чате, клод коде и апи. Цену за токен снизили по сравнению с Opus 5 — теперь она $4/$20 за миллион токенов. Кроме этого повысили пятичасовые лимиты и дали banked ресет. @ai_newz

🔥268❤65👍37🤯8🦄3😁3

21 Sept 2026, 16:38 UTC≈32,100 views170 reactionsread 29 September 2026
Photo

Вышел Grok 4.7 Заметный прирост при той же цене и скорости. Маск ранее заявлял что Grok 4.7 должен быть новый претрейн на 2.1 триллиона параметров, но похоже планы поменялись. А тем временм Grok 4.8 с 2.5T параметров должен был закончить тренировку на прошлой неделе и, скорее всего, сейчас уже на стадии RL. @ai_newz

❤82🔥46👍30😁10🙏2

16 Sept 2026, 17:01 UTC≈46,500 views484 reactions2 Starsread 29 September 2026
Video

Вас тоже напрягают записывальщики митингов, которых все сейчас таскают по созвонам? (меня да, особенно пока мы в stealth режиме). А ведь еще часто записывают, ничего мне не говоря, через wispr или granola. Как и следовало ожидать нашлись люди, которые придумали продукт для противостояния этому. Локально крутится LLM, которая адверсариально натренирована против wispr и прочих voice2text моделей. Она в риалтайме доба…

🔥281😁94❤50👍20💔13🦄10🫡8🤯5

Showing the 12 most recent of 86 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 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
22 August 2026
Most recent edit
22 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 72 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Цифранутый AI 🇰🇿
@tsifranuty_me · 1,616
7 posts
ChatGPT notes — AI, Нейросети & Чат-боты
@chatgptnotes · 2,019
4 posts
Диванчик
@divan_tyan · 2
4 posts
Denis Sexy IT 🤖
@denissexy · 137,610
3 posts
DL in NLP
@dlinnlp · 11,576
3 posts
с нуля до 1%
@firsterstrongerbetter · 486
3 posts
Блог о Data Science 💻 Наука о данных
@notedatascience · 3,876
3 posts
Технозаметки Малышева
@tsingular · 12,840
3 posts
Одержимый ИИ
@ObsessedAI · 21
2 posts
DM
@ai_generat · 222
2 posts
местный датасасер ☮️
@datasas · 1,806
2 posts
Кафедра ИВТиПМ. ЗабГУ
@ivtipm_zabgu · 126
2 posts
Так исторически сложилось
@mystdout · 261
2 posts
Neural Info
@neural_info · 248
2 posts
Нейросети для Тупорезов
@neuralguys · 352
2 posts
oNLP fans
@oNLPfans · 39
2 posts
Вайб заметки
@vibe_notes_by_ivan · 10
2 posts
BimOpenSourceChannel
@BimOpenSourceChannel · 78
1 post
#ChatGPT now
@ChatGPTnow · 126
1 post
Мотивируй IT
@DmitrySuccess · 684
1 post
GPTeka | Нейросети AI & iT
@GPTeka · 72
1 post
Люцифровизация Царства Антихриста
@GraZarAnt · 24
1 post
Просто Harness
@HarnessLLM · 133
1 post
Оцифрованный схоласт
@ID_sholast_ID · 829
1 post
В IT на старости лет
@IToldman · 112
1 post
Acid Broadcast
@acidbroad · 111
1 post
AI Код
@ai_code_blog · 168
1 post
ИИ в Европе
@ai_in_europe · 724
1 post
Kors Talks
@aiaishka · 56
1 post
Альтман уже может
@aicanalready · 62
1 post
AI, IT и тд
@aiititd · 176
1 post
AI Monitor All
@aimonitorall · 12
1 post
Free GPT
@allgpt4 · 6
1 post
Новый Зодчий
@concept_me · 57
1 post
Alpha Parser Search V2
@crypto_aggregat · 713
1 post
🤖 дизайн.baзa
@designbaza · 1,261
1 post
Devops Talks
@devops_talks · 448
1 post
Roman Doronin | AI for Friends
@doronin_aiforfriends · 2,183
1 post
Effective Accelerationism
@e_accelerationism · 13
1 post
GULOFF
@guloff · 518
1 post
Хагаки 👊
@hagaki · 342
1 post
Арсен Ибрагимов
@iamarsibragimov · 326
1 post
Vadim Lunin
@it_vadimqa · 679
1 post
Заметки Жулика
@jlik_notes · 21
1 post
kisu moves
@kisu_moves · 3
1 post
Кроткий ультразвук
@krotkii · 143
1 post
MaxRepost
@maxrepost · 1,356
1 post
Шатров Михаил II,
@mishatrov_civilization · 1,347
1 post

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 131 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 23 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Сиолошная
@seeallochnaya · 79,594
#1
Denis Sexy IT 🤖
@denissexy · 137,610
#2
addmeto
@addmeto · 71,835
#3
Метаверсище и ИИще
@cgevent · 52,530
#4
LLM под капотом
@llm_under_hood · 29,146
#5
Kali Novskaya
@rybolos_channel · 19,055
#6
New Yorko Times
@new_yorko_times · 10,554
#7
Dealer.AI
@dealerAI · 16,667
#8
Старший Авгур
@senior_augur · 8,275
#9
Data Secrets
@data_secrets · 94,138
#10
Борис опять
@boris_again · 17,621
#11
Machinelearning
@ai_machinelearning_big_data · 279,417
#12
Градиент обреченный
@doomgrad · 8,799
#13
DeepSchool
@deep_school · 10,738
#14
e/acc
@cryptoEssay · 62,598
#15
AI для Всех
@nn_for_science · 15,498
#16
AI Happens
@aihappens · 14,526
#17
что-то на DL-ском
@nadlskom · 5,012
#18
CGIT_Vines
@CGIT_Vines · 11,574
#19
Ppprompt | Sexy AI Prompts & Experiments | by @ponchiknews
@ppprompt · 15,429
#20
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,169
#21
TechSparks
@techsparks · 46,603
#22
Complete AI
@complete_ai · 7,854
#23
Ai molodca
@strangedalle · 46,785
#24
AbstractDL
@abstractDL · 18,576
#25
Жёлтый AI
@zheltyi_ai · 9,387
#26
Дратути Антон
@blog_toxa · 4,327
#27
Нейросети и Блендер
@monkeyinlaw · 12,744
#28
Пресидский залив
@neural_prosecco · 8,169
#29
Yandex for ML
@yandexforml · 18,921
#30
epsilon correct
@epsiloncorrect · 8,086
#31
Psy Eyes
@Psy_Eyes · 6,983
#32
Нескучный Data Science
@not_boring_ds · 12,050
#33
Generative Anton
@repushko_channel · 5,451
#34
КПД
@quant_prune_distill · 3,483
#35
gonzo-обзоры ML статей
@gonzo_ML · 24,354
#36
🏆 AIeron | Data Feeling
@datafeeling · 14,242
#37
Kantor.AI
@kantor_ai · 12,217
#38
Мишин Лернинг
@mishin_learning · 7,456
#39
partially unsupervised
@partially_unsupervised · 10,437
#40
DL in NLP
@dlinnlp · 11,576
#41
Малоизвестное интересное
@theworldisnoteasy · 73,946
#42
РИСЕРЧОШНАЯ
@researchoshnaya · 2,463
#43
Not Boring Tech
@notboring_tech · 20,822
#44
Запрети мне псевдолейблить
@pseudolabeling · 4,185
#45
AI[ex]Time
@AIexTime · 2,832
#46
Machine learning Interview
@machinelearning_interview · 30,308
#47
Neural Shit
@NeuralShit · 53,680
#48
Время Валеры
@cryptovalerii · 30,808
#49
kyrillic
@kyrillic · 60,982
#50
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 14,890
#51
еба́ные идеи для резерча
@ebaresearch · 5,349
#52
Derp Learning
@derplearning · 13,893
#53
ODS #jobs
@odsjobs · 14,059
#54
Just links
@j_links · 6,904
#55
Нейронавт | Нейросети в творчестве
@GreenNeuralRobots · 12,999
#56
Институт AIRI
@airi_research_institute · 13,654
#57
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,959
#58
Сергей Булаев AI 🤖
@sergiobulaev · 12,598
#59
Take Friends to Luna Park
@hrlunapark · 20,296
#60
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 11,087
#61
Заметки Computer Vision инженера
@CVML_team · 6,049
#62
42 секунды
@ftsec · 19,382
#63
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 43,919
#64
DLStories
@dl_stories · 15,572
#65
Knowledge Accumulator
@knowledge_accumulator · 5,687
#66
Дизраптор
@disruptors_official · 72,888
#67
grokaem себя
@grokaem_seby · 2,742
#68
Data, Stories and Languages
@datastorieslanguages · 3,797
#69
Dan Okhlopkov - канал
@danokhlopkov · 13,689
#70
ФКН: Вакансии
@vacancy_cs · 17,312
#71
Метаверсошная
@olya_tashit · 13,039
#72
RationalAnswer | Павел Комаровский
@RationalAnswer · 107,713
#73
̶с̶а̶м̶̶о̶изолента мёбиуса
@izolenta_mebiusa · 2,770
#74
Душный NLP
@stuffyNLP · 6,694
#75
Стартап дня. Александр Горный.
@startupoftheday · 60,633
#76
UX Live 🔥
@uxlive · 36,061
#77
Information Retriever
@inforetriever · 4,137
#78
Нейронки и вино
@neural_wine · 1,927
#79
r/ретранслятор
@retra · 165,571
#80
То шо нейросети
@toshoseti · 1,411
#81
ML for Value / Ваня Максимов
@ml4value · 5,695
#82
The Edinorog 🦄
@Theedinorogblog · 43,821
#83
запуск завтра
@ctodaily · 33,699
#84
tldr_tany (Таня Савельева)
@tldr_tany · 8,153
#85
Data Science by ODS.ai 🦜
@opendatascience · 38,626
#86
Connectable Jobs
@zarubezhom_jobs · 103,632
#87
Раньше всех. Ну почти.
@bbbreaking · 1,974,402
#88
Медуза — LIVE
@meduzalive · 1,122,482
#89
Бэкдор
@whackdoor · 1,590,187
#90
Эксплойт
@exploitex · 2,048,279
#91
Дудь
@yurydud · 862,341
#92
SVTV NEWS — Либертарианское СМИ
@svtvnews · 113,005
#93
Банкста
@banksta · 438,371
#94

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.

Neurogen
@neurogen_news · 22,946
Telegram ranks this channel #1 of 88 here — alongside 87 others — read 19 September 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,354
Telegram ranks this channel #1 of 93 here — alongside 92 others — read 16 September 2026
Нейроскептик
@neuroskep · 29,464
Telegram ranks this channel #1 of 90 here — alongside 89 others — read 8 September 2026
Метаверсище и ИИще
@cgevent · 52,530
Telegram ranks this channel #1 of 92 here — alongside 91 others — read 25 August 2026
e/acc
@cryptoEssay · 62,598
Telegram ranks this channel #1 of 96 here — alongside 95 others — read 21 August 2026
Сиолошная
@seeallochnaya · 79,594
Telegram ranks this channel #1 of 97 here — alongside 96 others — read 19 August 2026
Data Secrets
@data_secrets · 94,138
Telegram ranks this channel #1 of 98 here — alongside 97 others — read 17 August 2026
Denis Sexy IT 🤖
@denissexy · 137,610
Telegram ranks this channel #1 of 95 here — alongside 94 others — read 13 August 2026
Machinelearning
@ai_machinelearning_big_data · 279,417
Telegram ranks this channel #1 of 95 here — alongside 94 others — read 10 August 2026
Not Boring Tech
@notboring_tech · 20,822
Telegram ranks this channel #2 of 91 here — alongside 90 others — read 26 September 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,487
Telegram ranks this channel #2 of 91 here — alongside 90 others — read 12 September 2026
Sber AI
@SberAIScience · 27,144
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 10 September 2026
LLM под капотом
@llm_under_hood · 29,146
Telegram ranks this channel #2 of 96 here — alongside 95 others — read 9 September 2026
Ai molodca
@strangedalle · 46,785
Telegram ranks this channel #2 of 94 here — alongside 93 others — read 27 August 2026
Lama AI
@lama_channel_gpt · 24,736
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 15 September 2026
TechSparks
@techsparks · 46,603
Telegram ranks this channel #3 of 97 here — alongside 96 others — read 27 August 2026
Малоизвестное интересное
@theworldisnoteasy · 73,946
Telegram ranks this channel #3 of 94 here — alongside 93 others — read 19 August 2026
Tips AI | IT & AI
@tips_ai · 25,359
Telegram ranks this channel #4 of 95 here — alongside 94 others — read 14 September 2026
Machine learning Interview
@machinelearning_interview · 30,308
Telegram ranks this channel #4 of 98 here — alongside 97 others — read 7 September 2026
addmeto
@addmeto · 71,835
Telegram ranks this channel #4 of 95 here — alongside 94 others — read 20 August 2026
AI Университет
@neural_university_webinar · 37,456
Telegram ranks this channel #5 of 96 here — alongside 95 others — read 31 August 2026
Силиконовый Мешок
@prompt_design · 86,986
Telegram ranks this channel #5 of 96 here — alongside 95 others — read 18 August 2026
Двоичный кот
@binarcat · 30,827
Telegram ranks this channel #7 of 93 here — alongside 92 others — read 9 September 2026
AI Insider
@ai_ins · 41,932
Telegram ranks this channel #10 of 94 here — alongside 93 others — read 29 August 2026

This channel appears in 198 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“эйай ньюз” (@ai_newz), 96,889 subscribers as measured 18 September 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.