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Channel

DLStories

@dl_stories

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

15,553subscribers

+69 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001257074146
TypeChannel
Username@dl_stories
DescriptionЧто-то про AI Research и AI образование от Танечки Сотрудничество/предложения: @atmyre
Created2 November 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held52
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/dl_stories

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 65% 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

15,47615,58215,5296 August 2026 — 15,484 subscribers7 August 2026 — 15,477 subscribers8 August 2026 — 15,476 subscribers9 August 2026 — 15,483 subscribers10 August 2026 — 15,487 subscribers11 August 2026 — 15,485 subscribers12 August 2026 — 15,492 subscribers13 August 2026 — 15,501 subscribers14 August 2026 — 15,505 subscribers16 August 2026 — 15,503 subscribers17 August 2026 — 15,505 subscribers19 August 2026 — 15,506 subscribers20 August 2026 — 15,508 subscribers22 August 2026 — 15,505 subscribers23 August 2026 — 15,508 subscribers25 August 2026 — 15,507 subscribers26 August 2026 — 15,509 subscribers27 August 2026 — 15,508 subscribers28 August 2026 — 15,511 subscribers29 August 2026 — 15,500 subscribers30 August 2026 — 15,503 subscribers31 August 2026 — 15,516 subscribers1 September 2026 — 15,518 subscribers2 September 2026 — 15,515 subscribers3 September 2026 — 15,516 subscribers5 September 2026 — 15,526 subscribers8 September 2026 — 15,520 subscribers11 September 2026 — 15,525 subscribers13 September 2026 — 15,564 subscribers14 September 2026 — 15,567 subscribers16 September 2026 — 15,564 subscribers18 September 2026 — 15,572 subscribers2 October 2026 — 15,582 subscribers6 October 2026 — 15,570 subscribers11 October 2026 — 15,572 subscribers15 October 2026 — 15,574 subscribers16 October 2026 — 15,576 subscribers18 October 2026 — 15,575 subscribers21 October 2026 — 15,573 subscribers22 October 2026 — 15,569 subscribers23 October 2026 — 15,572 subscribers24 October 2026 — 15,567 subscribers25 October 2026 — 15,557 subscribers26 October 2026 — 15,555 subscribers27 October 2026 — 15,554 subscribers28 October 2026 — 15,558 subscribers30 October 2026 — 15,563 subscribers31 October 2026 — 15,562 subscribers1 November 2026 — 15,559 subscribers2 November 2026 — 15,556 subscribers3 November 2026 — 15,555 subscribers5 November 2026 — 15,553 subscribers15,5536 August 20265 November 2026
52 measurements spanning 91 days, net +69. 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 15,460–15,598 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)SubscribersChange
5 Nov 2026, 19:1015,553-2
3 Nov 2026, 17:4015,555-1
2 Nov 2026, 18:4615,556-3
1 Nov 2026, 18:3915,559-3
31 Oct 2026, 19:0115,562-1
30 Oct 2026, 17:1615,563+5
28 Oct 2026, 16:5615,558+4
27 Oct 2026, 15:0115,554-1
26 Oct 2026, 17:2115,555-2
25 Oct 2026, 18:0715,557-10
24 Oct 2026, 18:3815,567-5
23 Oct 2026, 18:0015,572+3
22 Oct 2026, 19:4115,569-4
21 Oct 2026, 17:1515,573-2
18 Oct 2026, 10:5615,575-1
16 Oct 2026, 09:3915,576+2
15 Oct 2026, 06:2715,574+2
11 Oct 2026, 07:0015,572+2
6 Oct 2026, 23:5615,570-12
2 Oct 2026, 01:3815,582first reading

Engagement

30 posts held, back to 5 May 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 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
16.3%
avg views ÷ 15,553 subscribers
Avg views / post
2,540
4 posts measured
Reaction rate
1.95%
reactions ÷ views · ER floor
Posts in window
4
of 30 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 5 November 2026
Posts held30 (5 May 2026 – 5 November 2026)
Views total10,140
Reactions total198
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 05:19 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
340
Videos
47
Links
690

Lifetime counters from Telegram’s own channel header, read 6 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
2m 54s
Average length
58s

Measured directly from 3 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

2,521 reactions across 30 posts, in 25 distinct kinds. The most used accounts for 50.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,28150.8%
🔥57122.6%
👍2279.00%
😁1536.07%
🏆722.86%
❤‍🔥542.14%
💯522.06%
👏271.07%
🤣250.992%
😭170.674%
🎉90.357%
👎50.198%
💅50.198%
🤡50.198%
💩30.119%
🤔30.119%
😱20.079%
🥰20.079%
🥱20.079%
☃10.04%
5 further kinds50.198%

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 30 of the 30 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 2,521 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 5 May 2026 to 5 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
16
across the posts below
Posts paid on
5
of 30 we hold a reading for · 17%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dl_stories. 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 30 most recent posts we hold for this entry, published 5 May 2026 to 5 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: 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).

5 Nov 2026, 22:50 UTC≈1,050 views14 reactionsread 6 November 2026

Можете присылать задачи на IOAI. А если вашу задачу отберут, потом сможете развлекаться тем, что смотреть, как я пытаюсь готовить сборную, придумывая разные задачи и гадая, что будет на олимпиаде А вы-то уже будете что-то знать! :)

🔥14

5 Nov 2026, 22:49 UTC≈1,080 views4 reactionsread 6 November 2026
Photo

🚀 IOAI 2027: Call for Tasks! 🇸🇬 Международная олимпиада по искусственному интеллекту (IOAI) ищет авторов задач для олимпиады 2027 года, которая пройдёт в Сингапуре! Приглашаем исследователей, ML-инженеров и всех, кому интересно придумывать нестандартные задачи по машинному обучению. 🧠 Что можно предложить? 🔹 Практические задачи — полноценные ML-задачи с датасетами, бейзлайнами и системой оценки. 🔹 Теоретические за…

❤4

24 Oct 2026, 19:23 UTC≈3,860 views52 reactions1 Starread 6 November 2026

А в DLS, тем временем, скоро начнется Diffusion week — недельный интенсив по диффузионным моделям. Интенсив пройдет 29.10-6.11. Как обычно в DLS, полностью бесплатно. Вас ждет серия онлайн-лекций вокруг разных аспектов диффузионок — основы, актуальные направления исследований, диффузии для видео, world models, ускорение и interpretability. Лекции читают люди, которые сами работают в этих областях. А ещё будет конт…

❤33🔥17❤‍🔥2

24 Oct 2026, 16:53 UTC≈4,150 views128 reactions3 Starsread 6 November 2026

Я сижу в самолёте, чтобы лететь на EMNLP :) И уже завтра в постерную сессию в 10 утра презентую статью SV-Detect: AI-generated Text Detection with Steering Vectors. Она про детекцию AI-generated текстов с помощью стиринг векторов — направлений в пространстве активаций LLM, отвечающих за переход от реальных текстов к сгенерированным. Если вы на EMNLP, приходите завтра посмотреть на меня статью! Первый и главный авто…

🔥87❤40👏1

5 Oct 2026, 15:59 UTC≈6,210 views148 reactions3 Starsread 6 November 2026

С днём училки меня! Провожу его как полагается: доделываю семинар и домашку по ViT для DLS. Перед этим на прошлой неделе я, наконец, записала лекцию по ViT (хотелось бы сказать, что не прошло и года, но он прошел)), и мы, наконец-то, почти запустили третью часть курса (вот сейчас доделаю семинар и дз, и прям официально запустим) А я в честь праздника напоминаю, что все лекции и семинары DLS всегда лежат в открытом д…

❤114🔥28💅5🎉1

24 Sept 2026, 21:26 UTC≈7,870 views211 reactionsread 6 November 2026
Photo

А ещё я только что получила письмо от одного из своих научников, которое начиналось вот так =D Со мной до этого подробного не происходило, я только мемы про это читала

😁144❤37🤣22🔥4🤔1🤗1🤡1🙈1

24 Sept 2026, 20:55 UTC≈6,550 views75 reactionsread 6 November 2026
Video

ICLR submissions be like (Из твиттера) Одна из этих мусорок будет моей)) Сейчас причешу ещё чуть получше и повешу ленточку (читай: сделаю красивую картинку с методом), и гордо отправлю вниз по течению. Вообще, если честно, уже мало понимаю, есть ли смысл в AI конференциях, и можно ли всё ещё считать публикацию на А/А* знаком качества. Сабмитов — тонна, сделать хорошо выглядящую статью с AI агентами уже довольно про…

💯49😭17👍4❤3👏1🤔1

16 Sept 2026, 12:47 UTC≈6,950 views179 reactionsread 6 November 2026

Я начала использовать кодинговых агентов (вроде Codex/Claude Code) в марте 2026 года. Первые 3–4 месяца я применяла их в основном для запуска новых экспериментов на базе уже имевшегося у меня кода рисерч проектов, который я полностью написала сама или с соавторами. Это получалось довольно хорошо: агенты отлично справляются с масштабированием экспериментов, а проверять их работу в таких случаях довольно просто, и это …

❤108👍48🔥15💯3👎2☃1🤔1🥰1

14 Sept 2026, 21:49 UTC≈5,230 views117 reactions2 Starsread 6 November 2026
Photo

На основной конференции ECCV я презентовала статью EquiSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image Generation. Эта статья — в некотором смысле продолжение статьи CASteer, а точнее, практическое ее применение к задаче debiasing of diffusion models. Честно говоря, мне самой эта статья не очень нравится: она чисто эмпирическая, про практическое применение, а я уже стремлюсь делать более фундамента…

🔥74❤33❤‍🔥5👍3👏1😁1

10 Sept 2026, 20:46 UTC≈12,700 views100 reactionsread 6 November 2026
Photo

Я, Борис @boris_again и какой-то рандомный чел проф из Оксфорда. Вот так вот выглядит конфа ECCV, на которой все мы и встретились Завтра на конфе у меня будет постер по статье EquiSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image Generation. Статья про debiasing диффузионок с помощью стиринг векторов. Если вы на ECCV, приходите завтра посмотреть на меня, мою статью и моего научника в постерную сесси…

❤70🔥26👍4

10 Sept 2026, 10:51 UTC≈15,400 views40 reactionsread 6 November 2026

Открыт набор на осенний семестр Deep Learning School DLS — онлайн-школа, где мы учим deep learning с нуля и до продвинутого уровня. Школа полностью бесплатная, но можно купить доппакет с менторской поддержкой и допвебинарами. Подробнее — на нашем сайте. Особенность DLS в том, что мы даем много практики (теория при этом тоже есть, разумеется, и немало). Вам предстоит много практических домашних заданий и самостоятел…

❤32🔥7❤‍🔥1

8 Sept 2026, 12:38 UTC≈5,660 views44 reactionsread 6 November 2026

В мае я писала, что меня позвали в программный комитет Practical ML Conf. С тех пор мы просмотрели очень много заявок на доклады и выбрали из них те, которые попадут на конференцию. А сейчас уже вместе с авторами готовим их к конференции) На сайте уже есть программа. Мы старались выбирать самые содержательные и технически нетривиальные доклады. В итоге из самого, на мой взгляд, интересного: • World models для робот…

❤29🔥8❤‍🔥5👍2

Showing the 12 most recent of 30 posts we hold for @dl_stories. 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.

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 6 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 · 24,681
Telegram ranks this channel #16 of 93 here — alongside 92 others — read 16 September 2026
Kali Novskaya
@rybolos_channel · 19,138
Telegram ranks this channel #20 of 93 here — alongside 92 others — read 4 October 2026
Yandex for ML
@yandexforml · 19,130
Telegram ranks this channel #26 of 96 here — alongside 95 others — read 4 October 2026
Сиолошная
@seeallochnaya · 81,039
Telegram ranks this channel #31 of 97 here — alongside 96 others — read 19 August 2026
Neural Shit
@NeuralShit · 54,660
Telegram ranks this channel #34 of 92 here — alongside 91 others — read 24 August 2026
LLM под капотом
@llm_under_hood · 30,121
Telegram ranks this channel #35 of 96 here — alongside 95 others — read 9 September 2026
Data Secrets
@data_secrets · 95,989
Telegram ranks this channel #50 of 98 here — alongside 97 others — read 17 August 2026
Machine learning Interview
@machinelearning_interview · 30,581
Telegram ranks this channel #55 of 98 here — alongside 97 others — read 7 September 2026
эйай ньюз
@ai_newz · 98,218
Telegram ranks this channel #65 of 94 here — alongside 93 others — read 16 August 2026
Take Friends to Luna Park
@hrlunapark · 20,975
Telegram ranks this channel #69 of 88 here — alongside 87 others — read 28 September 2026
Data Science | Machinelearning [ru]
@devsp · 19,680
Telegram ranks this channel #73 of 91 here — alongside 90 others — read 30 September 2026
Data Science Jobs
@datasciencejobs · 22,544
Telegram ranks this channel #75 of 93 here — alongside 92 others — read 21 September 2026
Sber AI
@SberAIScience · 26,546
Telegram ranks this channel #75 of 95 here — alongside 94 others — read 10 September 2026
Data Science
@datascienceiot · 42,540
Telegram ranks this channel #75 of 76 here — alongside 75 others — read 29 August 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 29,046
Telegram ranks this channel #76 of 94 here — alongside 93 others — read 10 September 2026
Machinelearning
@ai_machinelearning_big_data · 276,342
Telegram ranks this channel #77 of 95 here — alongside 94 others — read 10 August 2026
Время Валеры
@cryptovalerii · 32,021
Telegram ranks this channel #81 of 94 here — alongside 93 others — read 6 September 2026
Stepik – онлайн-курсы
@stepik_courses · 28,924
Telegram ranks this channel #82 of 93 here — alongside 92 others — read 16 September 2026
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 47,060
Telegram ranks this channel #83 of 90 here — alongside 89 others — read 28 August 2026
Яндекс Образование
@Education_Yandex · 38,058
Telegram ranks this channel #89 of 96 here — alongside 95 others — read 31 August 2026
8БИТ. Журнал Яндекс Образования
@journal_yandex_education · 18,803
Telegram ranks this channel #90 of 97 here — alongside 96 others — read 4 October 2026
Data Science Jobs
@datascienceml_jobs · 21,625
Telegram ranks this channel #96 of 97 here — alongside 96 others — read 24 September 2026

This channel appears in 22 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“DLStories” (@dl_stories), 15,553 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/dl_stories.

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.