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Channel

AbstractDL

@abstractDL

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

18,849subscribers

+709 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001341326876
TypeChannel
Username@abstractDL
DescriptionКоротко про классные штуки в CV, NLP и AI 🤷‍♂️ By Anton Razzhigaev chat: https://t.me/abstractdl_chat
Created30 April 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/abstractDL

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 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 the other topics.

Growth

18,14018,84918,494.55 August 20269 November 2026
63 measurements spanning 96 days, net +709. 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 18,034–18,955 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
9 Nov 2026, 23:4118,849+7
8 Nov 2026, 17:0418,842-2
7 Nov 2026, 11:5818,844+1
6 Nov 2026, 14:4918,843+6
5 Nov 2026, 12:2018,837+4
4 Nov 2026, 11:1018,833+7
3 Nov 2026, 13:3018,826+4
2 Nov 2026, 10:4018,822-3
1 Nov 2026, 07:4618,825+4
31 Oct 2026, 08:4018,821+7
30 Oct 2026, 07:2618,814+3
28 Oct 2026, 06:1618,811+4
26 Oct 2026, 06:1718,807+2
25 Oct 2026, 04:0618,805+1
24 Oct 2026, 01:3018,804-2
22 Oct 2026, 22:1118,806+6
21 Oct 2026, 19:1918,800+11
20 Oct 2026, 13:4618,789-3
19 Oct 2026, 15:0718,792+11
18 Oct 2026, 12:5718,781first reading

Engagement

48 posts held, back to 17 June 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 72 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
75.1%
avg views ÷ 18,849 subscribers
Avg views / post
14,200
4 posts measured
Reaction rate
0.658%
reactions ÷ views · ER floor
Posts in window
4
of 48 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 10 November 2026
Posts held48 (17 June 2026 – 10 November 2026)
Views total56,650
Reactions total373
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 04:05 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
337
Videos
18
Links
334

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
45s
Average length
45s

Measured directly from 1 video 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

10,369 reactions across 48 posts, in 43 distinct kinds. The most used accounts for 35.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁3,66735.4%
🔥2,11820.4%
👍8067.77%
❤6626.38%
🤯6326.10%
🎉4184.03%
👏3233.12%
🤣3042.93%
🤡1931.86%
🙈1431.38%
😨1361.31%
😱1151.11%
💩1111.07%
💯1091.05%
🤔930.897%
😡570.55%
🤮480.463%
🌚460.444%
👀450.434%
🥰440.424%
23 further kinds2992.88%

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 48 of the 48 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 10,369 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 48 most recent posts we hold, published 17 June 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (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).

10 Nov 2026, 19:51 UTC≈3,750 views57 reactionsread 11 November 2026
Photo

Carbon теперь доступен в Ultra подписках и во всяких сервисах за деньги, например, в Cursor. блогпост

💩23👀13🔥11😁5❤3🗿1🤔1

9 Nov 2026, 19:38 UTC≈12,700 views64 reactionsread 11 November 2026
Photo

Fable-5.2 приехал. Кстати, почему фейблы на max часто хуже чем на extra? Это я и на своих тестах замечаю постоянно. https://www.anthropic.com/claude-fable-and-mythos-5-2

🤔33🔥15🦄6👍5🥱3❤2

16 Oct 2026, 13:56 UTC≈16,000 views146 reactionsread 11 November 2026

Вы же понимаете, к чему это всё идёт? В коммуникации люди — это боттлнек. Дальше будут общаться только агенты с агентами, а компании — выставлять MCP вместо email-ов и телефонов. Чтобы боты клиентов срались не с сотрудниками, а с GPT. Если ваша компания оставляет хотя бы один «человеческий» канал связи (голубиная почта норм), то вас заDDoSят такие грок-боты и DOTs-ы. https://t.me/aihappens_news/152?single

😁63👍34💩15💯9🤣7❤6😱4😭3

15 Oct 2026, 17:57 UTC≈24,200 views106 reactionsread 11 November 2026

Полисемантичность всё? Авторисёрч забил последний гвоздь в гроб SAE. Нейроны уже распутаны, мы просто не под тем углом смотрели, и руки у мясных исследователей кривые в отличие от агентов. https://already-clean.goodfire.com/

👍46🔥36🤯8🤡5❤4👏3🤷‍♂2🌚1

10 Oct 2026, 15:12 UTC≈19,000 views493 reactionsread 11 November 2026
Photo

Вы заценили подсказки codex в чатах? Это какая-то магия. У меня ощущение, что он читает мои мысли лучше, чем я сам их читаю... Я наконец понял, что имелось в виду, когда говорили: "LLM и думать за тебя будет?" — ДА, будет.

😁353🤯63🤣35❤11😱10👍5🗿5🤔5

5 Oct 2026, 20:01 UTC≈18,800 views198 reactionsread 11 November 2026
Photo

Меня не просили, но я сделал. Уроборос теперь на лету переводит свой интерфейс на любой язык (даже несуществующий). Кто-то говорит на эльфийском квенья? Или, может быть, читать слова задом наперёд удобнее? DONE. За генеративными гиперперсонализированными интерфейсами будущее.

🔥79😁47🤯29👍10🤡9❤7💩7🥴6

5 Oct 2026, 13:25 UTC≈13,500 views286 reactionsread 11 November 2026
Photo

😊

🙈128❤76🔥30👏20🤡11😁11🍾4🤔3

30 Sept 2026, 11:32 UTC≈19,400 views267 reactionsread 11 November 2026
Photo

Все же слышали, что OpenAI пересмотрели условия подписок Codex? Теперь такое по квотам: 100$ = x5 200$ = x10 (было x20 раньше) 500$ = x25 Так вот, в качестве компенсации за переход с x20 на x10 OpenAI насыпали кредитов на каждый аккаунт в эквиваленте 2500$. У меня теперь кредитов на 32k$ получается 🌚 А я давно догадывался, что подписки Codex — это инвестиция, ахаха

😁181🤯39🔥18🤡14💩6❤4🙈2🤬1

28 Sept 2026, 20:11 UTC≈15,100 views169 reactionsread 11 November 2026
Photo

Sonnet-5.5 фанфакт из техрепорта: это первая модель антропик, которой пофиг насколько вежливо вы с ней общаетесь (я как-то упустил, что старым моделям было не пофиг).

😁130🔥18👍12❤5😭2👌1👎1

27 Sept 2026, 11:19 UTC≈11,400 views141 reactionsread 11 November 2026
Forwarded from @denissexy

Опять много взломов и новостей алаймента от агентов OpenAI накопилось, держите дайджест: >20 сентября агент обошёл запрет на интернет через DNS resolve в песочнице и связался с внешним чатботом; автоотключение не сработало, запуск остановили вручную через 2,5 часа после тревоги. OpenAI приостановила обучение, тестирование и запуски с инструментами своих самых мощных моделей - пауза все еще действует, а обучение конк…

🤯55❤38😁20👍8💩4🔥4🤡4🤣3

25 Sept 2026, 13:27 UTC≈24,900 views234 reactionsread 11 November 2026

Evidence of Linear Superposition in LLMs Языковые модели ЕЩЁ ЛИНЕЙНЕЕ, чем мы думали. Это, конечно, какой-то смех, но если тупо усреднить инпут-эмбеддинги у входных текстов, то LLM будет в аутпуте продолжать оба текста сразу. То есть она может параллельно о двух разных вещах думать и разбираться в усреднённых активациях, распутывая их. Похоже, это следствие линейности внутренних репрезентаций, которую я описывал в с…

🔥128🤯70👍20❤7🤔5🎉1👌1🤮1

22 Sept 2026, 19:22 UTC≈16,000 views151 reactionsread 11 November 2026
Photo

GPT-6-sol и luna. Куда ещё дешевле то? Демпингуют) UPD: раздали всем reset-ы лимитов

🔥89🤯40👍9🍾5⚡3❤3🤡2

Showing the 12 most recent of 48 posts we hold for @abstractDL. 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.

Forward network

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 24 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.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

gonzo-обзоры ML статей
@gonzo_ML · 24,695
Telegram ranks this channel #10 of 93 here — alongside 92 others — read 16 September 2026
эйай ньюз
@ai_newz · 98,262
Telegram ranks this channel #25 of 94 here — alongside 93 others — read 16 August 2026
LLM под капотом
@llm_under_hood · 30,219
Telegram ranks this channel #28 of 96 here — alongside 95 others — read 9 September 2026
Сиолошная
@seeallochnaya · 81,254
Telegram ranks this channel #30 of 97 here — alongside 96 others — read 19 August 2026
Метаверсище и ИИще
@cgevent · 53,591
Telegram ranks this channel #32 of 92 here — alongside 91 others — read 25 August 2026
Machinelearning
@ai_machinelearning_big_data · 275,659
Telegram ranks this channel #36 of 95 here — alongside 94 others — read 10 August 2026
Take Friends to Luna Park
@hrlunapark · 21,006
Telegram ranks this channel #52 of 88 here — alongside 87 others — read 28 September 2026
Not Boring Tech
@notboring_tech · 21,122
Telegram ranks this channel #52 of 91 here — alongside 90 others — read 26 September 2026
Время Валеры
@cryptovalerii · 32,082
Telegram ranks this channel #52 of 94 here — alongside 93 others — read 6 September 2026
Denis Sexy IT 🤖
@denissexy · 140,753
Telegram ranks this channel #56 of 95 here — alongside 94 others — read 13 August 2026
Yandex for ML
@yandexforml · 19,136
Telegram ranks this channel #57 of 96 here — alongside 95 others — read 4 October 2026
Kali Novskaya
@rybolos_channel · 19,136
Telegram ranks this channel #61 of 93 here — alongside 92 others — read 4 October 2026
Data Secrets
@data_secrets · 96,035
Telegram ranks this channel #67 of 98 here — alongside 97 others — read 17 August 2026
Machine learning Interview
@machinelearning_interview · 30,560
Telegram ranks this channel #73 of 98 here — alongside 97 others — read 7 September 2026
Neural Shit
@NeuralShit · 54,643
Telegram ranks this channel #73 of 92 here — alongside 91 others — read 24 August 2026
Data Science Jobs
@datasciencejobs · 22,587
Telegram ranks this channel #76 of 93 here — alongside 92 others — read 21 September 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 29,084
Telegram ranks this channel #84 of 94 here — alongside 93 others — read 10 September 2026

This channel appears in 17 seed channels' Telegram-generated recommendation lists in total. 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“AbstractDL” (@abstractDL), 18,849 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/abstractDL.

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.