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Channel

Сиолошная

@seeallochnaya

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

79,594subscribers

+2,443 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-1001511414765
TypeChannel
Username@seeallochnaya
DescriptionКанал SeeAll'а с новостями (и мыслями о них) из мира NLP, VR и космоса. Более подробно смотри в первом сообщении в канале (оно закреплено). А еще у нас есть чат! Заходи: https://t.me/+i_XzLucdtRJlYWUy
Created23 January 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/seeallochnaya

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@seeallochnaya/3834 · this entry24 Jul 2026, 17:04 UTC@seeall_ochnaya/159024 Jul 2026, 17:05 UTC1.00under a minute
@seeallochnaya/3838 · this entry25 Jul 2026, 10:55 UTC@seeall_ochnaya/159425 Jul 2026, 10:55 UTC1.00under a minute
@seeall_ochnaya/159525 Jul 2026, 11:03 UTC@seeallochnaya/3839 · this entry25 Jul 2026, 11:03 UTC1.00under a minute
@seeallochnaya/3847 · this entry31 Jul 2026, 21:22 UTC@seeall_ochnaya/160331 Jul 2026, 21:22 UTC1.00under a minute
@seeallochnaya/3848 · this entry31 Jul 2026, 23:34 UTC@seeall_ochnaya/160431 Jul 2026, 23:34 UTC1.00under a minute
@seeallochnaya/3849 · this entry1 Aug 2026, 09:42 UTC@seeall_ochnaya/16051 Aug 2026, 09:42 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@seeall_ochnaya16 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (160)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 24 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @seeallochnaya — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

77,15179,59478,372.55 August 2026 — 77,151 subscribers6 August 2026 — 77,151 subscribers6 August 2026 — 77,153 subscribers7 August 2026 — 77,164 subscribers8 August 2026 — 77,179 subscribers9 August 2026 — 77,172 subscribers10 August 2026 — 77,186 subscribers11 August 2026 — 77,380 subscribers12 August 2026 — 77,459 subscribers13 August 2026 — 77,519 subscribers14 August 2026 — 77,579 subscribers16 August 2026 — 77,581 subscribers17 August 2026 — 77,623 subscribers18 August 2026 — 77,675 subscribers19 August 2026 — 77,755 subscribers20 August 2026 — 77,721 subscribers21 August 2026 — 77,756 subscribers22 August 2026 — 77,781 subscribers24 August 2026 — 77,796 subscribers25 August 2026 — 77,814 subscribers26 August 2026 — 77,840 subscribers27 August 2026 — 77,858 subscribers28 August 2026 — 77,920 subscribers29 August 2026 — 78,014 subscribers30 August 2026 — 78,050 subscribers31 August 2026 — 78,111 subscribers1 September 2026 — 78,154 subscribers2 September 2026 — 78,212 subscribers4 September 2026 — 78,342 subscribers6 September 2026 — 78,788 subscribers10 September 2026 — 79,260 subscribers12 September 2026 — 79,392 subscribers14 September 2026 — 79,481 subscribers15 September 2026 — 79,553 subscribers18 September 2026 — 79,594 subscribers5 August 202618 September 2026
35 measurements spanning 43 days, net +2,443. 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 76,785–79,960 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
18 Sept 2026, 01:4279,594+41
15 Sept 2026, 19:0179,553+72
14 Sept 2026, 04:1979,481+89
12 Sept 2026, 09:4079,392+132
10 Sept 2026, 04:2179,260+472
6 Sept 2026, 19:1878,788+446
4 Sept 2026, 06:1978,342+130
2 Sept 2026, 16:2678,212+58
1 Sept 2026, 14:3778,154+43
31 Aug 2026, 13:2778,111+61
30 Aug 2026, 12:4578,050+36
29 Aug 2026, 15:1778,014+94
28 Aug 2026, 12:4377,920+62
27 Aug 2026, 10:0477,858+18
26 Aug 2026, 11:5477,840+26
25 Aug 2026, 12:2477,814+18
24 Aug 2026, 12:3477,796+15
22 Aug 2026, 18:3777,781+25
21 Aug 2026, 12:0277,756+35
20 Aug 2026, 13:5477,721first reading

Engagement

98 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 99 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
39.9%
avg views ÷ 79,594 subscribers
Avg views / post
31,700
64 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
64
of 98 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 22 September 2026
Posts held98 (24 July 202622 September 2026)
Views total2,031,900
Reactions total22,708
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 00:26 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
2,130
Videos
352
Links
2,070

Lifetime counters from Telegram’s own channel header, read 24 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
7m 11s
Average length
1m 26s

Measured directly from 5 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

35,407 reactions across 96 posts, in 16 distinct kinds. The most used accounts for 23.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8,14123.0%
🔥5,34615.1%
🤯5,18114.6%
🤣4,22811.9%
🤡3,4269.68%
❤‍🔥2,2586.38%
🌚2,0955.92%
🎉1,4674.14%
custom 52489517093670174731,0613.00%
🤔8702.46%
💩3310.935%
👨‍💻2740.774%
👎2410.681%
😭2290.647%
💔2240.633%
😈350.099%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 98 of the 98 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 36,051 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 98 most recent posts we hold, published 24 July 2026 to 22 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
343
across the posts below
Posts paid on
56
of 98 we hold a reading for · 57%
Most on one post
54
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @seeallochnaya. 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 98 most recent posts we hold for this entry, published 24 July 2026 to 22 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

22 Sept 2026, 18:09 UTC≈18,200 views277 reactions1 Starread 24 September 2026
Photo

Отдельный вопрос это «если модели дешевле, то будет ли у меня больше использования в Codex?». Ответ — да! (сравните Sol 6 и 5.6 — в полтора раза больше).

👍178🎉63❤‍🔥22🤣6👎4👨‍💻2🤡2

22 Sept 2026, 18:08 UTC≈56,500 views231 reactions2 Starsread 24 September 2026
Photo

А вот и OpenAI: встречайте GPT-6 Sol и Luna. — обе модели ровно в 2 раза дешевле, чем их 5.6-версии. — общаться должны так же понятно и без жаргона, как Astra — и... всё. Sol не лучше Astra (а во многом и хуже, в отличии от пары Fable <-> Opus), но сильно дешевле, и всё ещё лучше Sol 5.6. Поэтому модель может стать основной рабочей лошадкой, сохраняя ваши лимиты.

👍145🔥54❤‍🔥13🎉7🤣4👎2👨‍💻2🤡2

22 Sept 2026, 16:35 UTC≈54,600 views291 reactions3 Starsread 24 September 2026
Photo

Вышел Claude Opus 5.5, уже есть в приложении. Вместе с этим.. дали banked reset (как делают OpenAI — можно применить в любой момент). — Для работы Opus 5.5 требуется меньше вычислительных ресурсов, чем для Opus 5, и это отражается на его цене: $4/$20 (на 20% меньше, чем было), а чтение из кэша $0.2 — на 60% меньше. — При этом скорость генерации выросла в среднем на 30% — 5-часовой лимит увеличен (без изменения недел

👍164🔥77🎉34👎4❤‍🔥3🌚3🤡3🤣2

22 Sept 2026, 13:27 UTC≈18,500 views393 reactions4 Starsread 24 September 2026
Forwarded from @shneural

Posted without readable text

❤‍🔥224🔥97🌚21🎉13👍13🤡9🤯7👨‍💻4

21 Sept 2026, 22:23 UTC≈21,200 views294 reactions6 Starsread 24 September 2026

Posted without readable text

👍139🔥60custom 524895170936701747330🤯21🤣16🤡11👨‍💻5👎4

21 Sept 2026, 08:33 UTC≈21,200 views302 reactionsread 24 September 2026
Photo

И абсолютно невероятная картинка с Эль Сальвадором, который имел очень высокий уровень преступности (на графике — убийств (не мелких преступлений), но в 2023м году после многих лет работы над системой они смогли добиться уровня ниже США. Это сопровождалось четырехкратным увеличением количества заключенных. Как им это удалось? Благодаря сочетанию значительных финансовых вложений, непритязательности в вопросах прав ч

👍179🤯67❤‍🔥18👎14🤡12🤔7💩3🤣2

21 Sept 2026, 08:30 UTC≈20,300 views218 reactions3 Starsread 24 September 2026

Утром прочитал у Scott Alexander пост двухлетней давности про тюрьмы и преступления. Там есть много интересной статистики и неочевидных выводов, но в целом стало грустно: в развитых странах мелкие преступники спокойно живут и орудуют потому, что система ценит человеческую жизнь, судебная система развита и предоставляет множество пособий для защиты даже казалось бы однозначных преступников, а цена труда очень высока.

🤯93👍59🌚18🤡15💩12🤔12🤣4👎3

20 Sept 2026, 09:31 UTC≈23,800 views466 reactionsread 24 September 2026
Photo

Прошло уже почти 3 недели с релиза GPT-6 Astra, и можно подводить первые промежуточные итоги. Модель действительно вышла очень клёвой и способной, и, как мне кажется, лучше Fable 5.1: на многих бенчмарках они или идут вровень, или Astra обходит; к тому же читать текст Astra гораздо приятнее, чем слоп от Клода, и когнитивная нагрузка не такая большая, чтобы продраться через мешанину абстрактных терминов. Astra особен

👍264🔥101💩40custom 524895170936701747325🤡20🎉8👨‍💻4❤‍🔥3

19 Sept 2026, 16:05 UTC≈29,100 views473 reactionsread 24 September 2026
Photo

Похоже у OpenAI и вправду очень сильно вырос спрос, и подписки за $200 закрыли поделом — вычислительных мощностей впритык, уже неделю не было сбросов лимитов 😭

🌚208😭168🤣47👍18🤡14💩6custom 52489517093670174735👨‍💻3

18 Sept 2026, 07:25 UTC≈74,400 views376 reactions3 Starsread 24 September 2026
Photo

Вы наверняка видели эту картинку с XKCD. Оказалось, она была пророческой — именно через уязвимость в указанной библиотеке ImageMagick (поддерживаемой за "спасибо" каким-то рандомом из Небраски 😀) нашлись уязвимости, позволившие 3 белым хакерам и паре LLM по подписке взломать OpenAI и несколько других компаний, включая Slack, Zoom, Meta. Сначала им удалось взломать форум обсуждений OpenAI, построенный на платформе Di

🌚216🔥94🤯22👨‍💻20👍9🤡6🤣6😭2

17 Sept 2026, 15:57 UTC≈27,800 views596 reactions1 Starread 24 September 2026
Forwarded from @RationalShitpostingPhoto

OpenAI по слухам там почти решили еще одну задачу тысячелетия. Думаю, огромное число математиков сейчас лихорадочно нажимают в ЧатГПТ галку "разрешить использовать логи для улучшения моделей" и кидают в чат все пришедшие в голову гипотезы о том, как подходить к ее решению…

🤣431🤡86🔥36custom 524895170936701747315🤯9❤‍🔥7👍5😈4

17 Sept 2026, 12:11 UTC≈23,500 views132 reactionsread 22 September 2026

И вот так в одно мгновенье Игорь превратился в фаната прослушивания винила (придётся покупать проигрыватель) (а ещё сегодня куча треков появится в Spotify, ждём) UPD: вот весь альбом

🤡66🤣38❤‍🔥16💩5🌚3👍2🤔2

Showing the 12 most recent of 98 posts we hold for @seeallochnaya. 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

@seeallochnaya 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
10 August 2026
Most recent edit
10 August 2026

Forward network

Republished by

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

Republished by 96 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

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1 post
AI для каждого
@ai_to_everyone · 195
1 post
AIgency Миши Кокина
@aigencyworks · 192
1 post
AI Happens
@aihappens · 14,506
1 post
Канава
@aikanava · 18
1 post
AI Security | Безопасный ИИ
@aisecur · 121
1 post
Будущее наступает
@aiworkfuture · 1,025
1 post
очередной
@anotherneural · 29
1 post
Биохакинг Журнал 🔬 Biohaking Magazine
@bhzine · 177
1 post
CL Vibes
@clvibes · 14
1 post
Новый Зодчий
@concept_me · 57
1 post
Джедаи Данных
@datajoda · 14
1 post
Generative Ai
@deeplearning_ru · 3,702
1 post
dev warrior
@devwarrior · 129
1 post
Открытия
@disc_over · 541
1 post
Effective Accelerationism
@e_accelerationism · 13
1 post
ЭЯЙ
@e_yai · 811
1 post
эго-иллюзии Захарова
@ego_illusions · 29
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 87 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.

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.

эйай ньюз
@ai_newz · 96,889
#1
Denis Sexy IT 🤖
@denissexy · 137,325
#2
Время Валеры
@cryptovalerii · 30,829
#3
LLM под капотом
@llm_under_hood · 29,146
#4
addmeto
@addmeto · 71,835
#5
Метаверсище и ИИще
@cgevent · 52,361
#6
Kali Novskaya
@rybolos_channel · 19,011
#7
Neural Shit
@NeuralShit · 53,680
#8
Борис опять
@boris_again · 17,596
#9
Dealer.AI
@dealerAI · 16,637
#10
Старший Авгур
@senior_augur · 8,118
#11
еба́ные идеи для резерча
@ebaresearch · 5,333
#12
Data Secrets
@data_secrets · 93,800
#13
Градиент обреченный
@doomgrad · 8,800
#14
Machinelearning
@ai_machinelearning_big_data · 280,660
#15
AI Happens
@aihappens · 14,506
#16
Derp Learning
@derplearning · 13,891
#17
DeepSchool
@deep_school · 10,747
#18
что-то на DL-ском
@nadlskom · 4,987
#19
TechSparks
@techsparks · 46,537
#20
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,169
#21
Ppprompt | Sexy AI Prompts & Experiments | by @ponchiknews
@ppprompt · 15,394
#22
AI для Всех
@nn_for_science · 15,502
#23
Дратути Антон
@blog_toxa · 4,337
#24
Пресидский залив
@neural_prosecco · 8,169
#25
Complete AI
@complete_ai · 7,865
#26
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 43,807
#27
Сергей Булаев AI 🤖
@sergiobulaev · 12,602
#28
Data, Stories and Languages
@datastorieslanguages · 3,701
#29
AbstractDL
@abstractDL · 18,453
#30
DLStories
@dl_stories · 15,572
#31
epsilon correct
@epsiloncorrect · 8,102
#32
РИСЕРЧОШНАЯ
@researchoshnaya · 2,457
#33
Жёлтый AI
@zheltyi_ai · 9,387
#34
Yandex for ML
@yandexforml · 18,854
#35
Generative Anton
@repushko_channel · 5,451
#36
Ai molodca
@strangedalle · 46,847
#37
КПД
@quant_prune_distill · 3,464
#38
gonzo-обзоры ML статей
@gonzo_ML · 24,323
#39
Малоизвестное интересное
@theworldisnoteasy · 74,000
#40
Kantor.AI
@kantor_ai · 12,217
#41
Rebryk Blog
@rebrykblog · 12,228
#42
Душный NLP
@stuffyNLP · 6,656
#43
AI[ex]Time
@AIexTime · 2,830
#44
запуск завтра
@ctodaily · 33,689
#45
ML for Value / Ваня Максимов
@ml4value · 5,695
#46
DL in NLP
@dlinnlp · 11,597
#47
Нейросети и Блендер
@monkeyinlaw · 12,744
#48
partially unsupervised
@partially_unsupervised · 10,297
#49
Запрети мне псевдолейблить
@pseudolabeling · 4,177
#50
Mashkka про Data Science
@mashkka_ds · 5,180
#51
Machine learning Interview
@machinelearning_interview · 30,308
#52
То шо нейросети
@toshoseti · 1,411
#53
я обучала одну модель
@def_model_train · 4,500
#54
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 14,855
#55
BOGDANISSSIMO
@bogdanisssimo · 6,958
#56
New Yorko Times
@new_yorko_times · 10,554
#57
kyrillic
@kyrillic · 61,020
#58
RationalAnswer | Павел Комаровский
@RationalAnswer · 107,884
#59
e/acc
@cryptoEssay · 62,598
#60
ODS #jobs
@odsjobs · 14,059
#61
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,750
#62
Just links
@j_links · 6,890
#63
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 11,102
#64
Дизраптор
@disruptors_official · 73,061
#65
Take Friends to Luna Park
@hrlunapark · 19,928
#66
Институт AIRI
@airi_research_institute · 13,590
#67
Раньше всех. Ну почти.
@bbbreaking · 1,971,693
#68
Нескучный Data Science
@not_boring_ds · 12,052
#69
Knowledge Accumulator
@knowledge_accumulator · 5,686
#70
Вастрик.Клуб
@vas3k_club · 11,239
#71
🏆 AIeron | Data Feeling
@datafeeling · 14,291
#72
CGIT_Vines
@CGIT_Vines · 11,574
#73
42 секунды
@ftsec · 19,395
#74
grokaem себя
@grokaem_seby · 2,739
#75
Dan Okhlopkov - канал
@danokhlopkov · 13,689
#76
Нейронавт | Нейросети в творчестве
@GreenNeuralRobots · 12,947
#77
Заметки Computer Vision инженера
@CVML_team · 6,022
#78
from:adam
@c3po_notes · 6,008
#79
Стартап дня. Александр Горный.
@startupoftheday · 60,449
#80
̶с̶а̶м̶̶о̶изолента мёбиуса
@izolenta_mebiusa · 2,767
#81
ФКН: Вакансии
@vacancy_cs · 16,939
#82
Information Retriever
@inforetriever · 4,118
#83
Бэкдор
@whackdoor · 1,603,481
#84
Psy Eyes
@Psy_Eyes · 6,977
#85
Нейронки и вино
@neural_wine · 1,939
#86
The Edinorog 🦄
@Theedinorogblog · 43,821
#87
Нескучный Data Science Jobs
@not_boring_ds_jobs · 9,120
#88
Тагир Анализирует
@tagir_analyzes · 11,702
#89
Грокс
@groks · 43,050
#90
Банкста
@banksta · 438,140
#91
Антонов такой Антонов
@auantonov · 321,690
#92
Эксплойт
@exploitex · 2,041,128
#93
Connectable Jobs
@zarubezhom_jobs · 102,984
#94
Медуза — LIVE
@meduzalive · 1,121,201
#95
Техасский Вестник
@starbasepost · 18,901
#96
Дудь
@yurydud · 864,661
#97

Read from Telegram’s recommendation API, most recently 19 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.

LLM под капотом
@llm_under_hood · 29,146
Telegram ranks this channel #1 of 96 here — alongside 95 others — read 9 September 2026
Время Валеры
@cryptovalerii · 30,829
Telegram ranks this channel #1 of 94 here — alongside 93 others — read 6 September 2026
эйай ньюз
@ai_newz · 96,889
Telegram ranks this channel #1 of 94 here — alongside 93 others — read 16 August 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,323
Telegram ranks this channel #2 of 93 here — alongside 92 others — read 16 September 2026
Neural Shit
@NeuralShit · 53,680
Telegram ranks this channel #2 of 92 here — alongside 91 others — read 24 August 2026
Малоизвестное интересное
@theworldisnoteasy · 74,000
Telegram ranks this channel #2 of 94 here — alongside 93 others — read 19 August 2026
Data Secrets
@data_secrets · 93,800
Telegram ranks this channel #2 of 98 here — alongside 97 others — read 17 August 2026
Denis Sexy IT 🤖
@denissexy · 137,325
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 13 August 2026
Метаверсище и ИИще
@cgevent · 52,361
Telegram ranks this channel #3 of 92 here — alongside 91 others — read 25 August 2026
Machinelearning
@ai_machinelearning_big_data · 280,660
Telegram ranks this channel #3 of 95 here — alongside 94 others — read 10 August 2026
karpov.courses
@KarpovCourses · 27,430
Telegram ranks this channel #4 of 96 here — alongside 95 others — read 10 September 2026
TechSparks
@techsparks · 46,537
Telegram ranks this channel #4 of 97 here — alongside 96 others — read 27 August 2026
Ai molodca
@strangedalle · 46,847
Telegram ranks this channel #5 of 94 here — alongside 93 others — read 27 August 2026
addmeto
@addmeto · 71,835
Telegram ranks this channel #5 of 95 here — alongside 94 others — read 20 August 2026
Sber AI
@SberAIScience · 27,279
Telegram ranks this channel #6 of 95 here — alongside 94 others — read 10 September 2026
Нейроскептик
@neuroskep · 29,484
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 8 September 2026
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 43,807
Telegram ranks this channel #6 of 97 here — alongside 96 others — read 29 August 2026
Neurogen
@neurogen_news · 22,930
Telegram ranks this channel #7 of 88 here — alongside 87 others — read 19 September 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,576
Telegram ranks this channel #7 of 91 here — alongside 90 others — read 12 September 2026
Machine learning Interview
@machinelearning_interview · 30,308
Telegram ranks this channel #7 of 98 here — alongside 97 others — read 7 September 2026
запуск завтра
@ctodaily · 33,689
Telegram ranks this channel #7 of 96 here — alongside 95 others — read 4 September 2026
Математик в Лондоне
@mathbotan · 26,819
Telegram ranks this channel #8 of 90 here — alongside 89 others — read 11 September 2026
XOR
@xor_journal · 175,669
Telegram ranks this channel #8 of 93 here — alongside 92 others — read 12 August 2026
AI Университет
@neural_university_webinar · 37,547
Telegram ranks this channel #11 of 96 here — alongside 95 others — read 31 August 2026

This channel appears in 160 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.

“Сиолошная” (@seeallochnaya), 79,594 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/seeallochnaya.

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.