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Channel

что-то на DL-ском

@nadlskom

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

4,987subscribers

+60 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001282630489
TypeChannel
Username@nadlskom
Created7 May 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/nadlskom

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 13 September 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

4,9074,9874,9476 August 2026 — 4,927 subscribers6 August 2026 — 4,928 subscribers9 August 2026 — 4,919 subscribers12 August 2026 — 4,922 subscribers19 August 2026 — 4,911 subscribers22 August 2026 — 4,908 subscribers25 August 2026 — 4,907 subscribers28 August 2026 — 4,936 subscribers30 August 2026 — 4,961 subscribers3 September 2026 — 4,972 subscribers9 September 2026 — 4,974 subscribers13 September 2026 — 4,986 subscribers17 September 2026 — 4,987 subscribers6 August 202617 September 2026
13 measurements spanning 42 days, net +60. 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 4,895–4,999 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 08:424,987+1
13 Sept 2026, 07:384,986+12
9 Sept 2026, 03:164,974+2
3 Sept 2026, 09:474,972+11
30 Aug 2026, 23:174,961+25
28 Aug 2026, 09:194,936+29
25 Aug 2026, 08:064,907-1
22 Aug 2026, 15:034,908-3
19 Aug 2026, 10:354,911-11
12 Aug 2026, 11:074,922+3
9 Aug 2026, 09:114,919-9
6 Aug 2026, 14:004,928+1
6 Aug 2026, 08:184,927first reading

Engagement

13 posts held, back to 7 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 8 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

457 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 33.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15133.0%
😁13128.7%
👍6013.1%
🔥5311.6%
custom 5251369136004539468255.47%
😢112.41%
💅102.19%
🤮91.97%
custom 524242721595773010340.875%
🤡30.656%

Custom emoji. 2 of the rows above are 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 counts beside them are 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 13 of the 13 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 457 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 7 July 2026 to 8 August 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

8 Aug 2026, 12:15 UTC917 views6 reactionsread 12 August 2026
Forwarded from @rads_ai

На конференциях только и разговоров, что об агентах. Вообще, я бы назвал это harness'ами. Они могут приносить кучу пользы, и их огромное количество: Claude Code, Codex, pi, Hermes, OpenClaw, Cursor, Muse Code... Хорошая новость в том, что под капотом +- одни и те же механизимы, и если в них разобраться, почти не важно, какой harness у вас под рукой. Поэтому проведу в понедельник, 10 августа в 18:30 открытый вебина

6

8 Aug 2026, 11:02 UTC≈1,230 views42 reactionsread 12 August 2026

Mistral на столько frontier компания, что пока антропик и опенаи приостанавливает исследования моделей из-за опасности со стороны ии, а UK AISI утверждают, что Kimi вышла за границы sandbox, наши французские слоняры продолжают делать мощь💪💪💪💪🥖🥖

😁288💅6

1 Aug 2026, 21:14 UTC≈1,510 views13 reactionsread 12 August 2026
Forwarded from @lovedeathtransformersPhoto

все видели NLA/J space от антропиков? Ну типа учат доп модель "reader который читает активации " и по ним отвечает. Вот и я видел, но мне не нравилось что: - кастом модели надо учить с нуля - нельзя смотреть " а была ли модель байеснута при ответе" Ну и я обучил universal activation oracle - училась сразу на разных семействах моделей и через динамическую( там тонкий слой для каждой модели за 20s на цпу чтобы размер

13

30 Jul 2026, 12:58 UTC≈1,670 views30 reactionsread 12 August 2026
Forwarded from @lovedeathtransformersPhoto

Котик(мальчик) а Москве ищет новый дом, нашли на улице, помыли, отвели в ветеринарнку(все ок), вам нужно только забрать и любить его. @zjkarina

19😢8👍3

29 Jul 2026, 08:14 UTC≈2,440 views30 reactionsread 12 August 2026

К нам на MATS приходил Нил Нанда отвечать на вопросы. Я сделала хайлайты вопрос-ответов на мой вкус Disclaimer: все QA пропущены через мою призму восприятия и писались строго по запоминающимся фрагментам Топ вопросов: 💛Стоит ли сейчас идти на PhD в AI? если там есть конкретный сильный ментор, с которым очень хочется работать, то в целом да. Но хорошее менторство можно получить и во frontier lab, куда ты просто ус

🔥148👍8

16 Jul 2026, 12:16 UTC≈12,200 views42 reactionsread 12 August 2026

Если вы думаете, что я шутила, то нет. Я буквально ваш стажер дурашка, который помешан на агентах😋 Вот скилл. Подходит и для кодекса и для Клода https://github.com/zj-karina/complexity-budget По сути просто доп классификатор в вашу разработку, который делает ablation на надобность фичи 1. Определяет ближайший результат, который хотим достичь, а не глобальный вердикт 2. Проверят существует ли бейзлайн 3. Разбирает

🔥2511🤡3👍2custom 52513691360045394681

16 Jul 2026, 09:41 UTC≈2,830 views71 reactionsread 12 August 2026

- Дали фидбек о избыточном использовании авторесерча и ллм для написания текста - иду советоваться с ллм как жить в такой конфигурации и писать скилл по сокращению артефактов от авторечерча *тут могла бы быть реклама скилла авторисерча, но мы не договорились о вознаграждении*

😁33👍25🤮9custom 52513691360045394684

15 Jul 2026, 16:47 UTC≈2,820 views21 reactionsread 12 August 2026
Photo

Очень занятный блогпост выпустили знакомые стажеры с MATS-а Задача была проверить вкус LLM-ок к правильному ресерчу (ну то есть на сколько авторесерч способен на написание статей) Сетап следующий: 💛они отобрали свои любимые статьи (4) 💛взяли Opus попус и отобрали им утверждения начальных гипотез, которые стоит замаскировать, чтобы понять прийдет ли LLM, которую они тестируют к таким же утверждениям 💛Потом они опусо

custom 5251369136004539468172🔥2

13 Jul 2026, 17:40 UTC≈2,440 views48 reactionsread 12 August 2026
Photo

– Сначала ты: как классно, я буду рабоать с safety и строить мониторинги с редтимом☺️ – Потом антропик команда со своим мониторингом с FP😠 Upd: ладно, я просмотрела свой датасет, так конечно есть за что так сказать))

😁414😢3

10 Jul 2026, 14:56 UTC≈2,770 views21 reactionsread 12 August 2026
Forwarded from @MLunderhoodPhoto

По следам воркшопов и постерных сессий Вчера мы анонсировали активности с участием наших исследователей на ICML 2026. Теперь делимся фото и впечатлениями спикеров о том, как это было. Дмитрий Еремеев, Yandex Research: Для меня это первая конференция — всё было в новинку, проходило очень насыщенно. Одну из наших статей, GraphPFN, мы представляли в формате постера на основной конференции, а ещё я выступал с докладом

20🔥1

10 Jul 2026, 02:20 UTC≈2,810 views70 reactionsread 12 August 2026
Photo

1804 ICML приходите расскажем как в пространстве выглядят лоссы RL относительно SFT. И почему некоторые RL методы не отличаются от SFT, а часть из них генерит более разнообразный ответ Upd: мы перевесились на 216

58🔥8💅4

7 Jul 2026, 14:05 UTC≈2,650 views36 reactionsread 8 August 2026
Photo

Photo, posted without a caption

😁29custom 52424272159577301034custom 52513691360045394683

Showing the 12 most recent of 13 posts we hold for @nadlskom. 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

Republished by

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

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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

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.

LLM под капотом
@llm_under_hood · 29,146
Telegram ranks this channel #11 of 96 here — alongside 95 others — read 9 September 2026
эйай ньюз
@ai_newz · 96,889
Telegram ranks this channel #18 of 94 here — alongside 93 others — read 16 August 2026
Сиолошная
@seeallochnaya · 79,594
Telegram ranks this channel #19 of 97 here — alongside 96 others — read 19 August 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,631
Telegram ranks this channel #22 of 93 here — alongside 92 others — read 25 August 2026
Neural Shit
@NeuralShit · 53,680
Telegram ranks this channel #24 of 92 here — alongside 91 others — read 24 August 2026
Sber AI
@SberAIScience · 27,279
Telegram ranks this channel #26 of 95 here — alongside 94 others — read 10 September 2026
Data Secrets
@data_secrets · 93,800
Telegram ranks this channel #26 of 98 here — alongside 97 others — read 17 August 2026
Время Валеры
@cryptovalerii · 30,829
Telegram ranks this channel #27 of 94 here — alongside 93 others — read 6 September 2026
Метаверсище и ИИще
@cgevent · 52,361
Telegram ranks this channel #27 of 92 here — alongside 91 others — read 25 August 2026
Machine learning Interview
@machinelearning_interview · 30,308
Telegram ranks this channel #35 of 98 here — alongside 97 others — read 7 September 2026
Силиконовый Мешок
@prompt_design · 85,657
Telegram ranks this channel #52 of 96 here — alongside 95 others — read 18 August 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,750
Telegram ranks this channel #54 of 94 here — alongside 93 others — read 10 September 2026
e/acc
@cryptoEssay · 62,598
Telegram ranks this channel #85 of 96 here — alongside 95 others — read 21 August 2026
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 45,274
Telegram ranks this channel #86 of 90 here — alongside 89 others — read 28 August 2026

This channel appears in 14 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“что-то на DL-ском” (@nadlskom), 4,987 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/nadlskom.

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.