Telegram RegisterThe public register of Telegram

Channel

DLM Deep Language Models

@DLModels

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

28subscribers

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002128461561
TypeChannel
Username@DLModels
DescriptionHomoRoboticuS-AAI
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live13 August 2026
Measurements held1
On Telegramt.me/DLModels

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:3128first reading

Engagement

19 posts held, back to 16 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
172.3%
avg views ÷ 28 subscribers
Avg views / post
48.3
4 posts measured
Reaction rate
0.775%
reactions ÷ views · ER floor
Posts in window
4
of 19 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. It is computed over the 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 July 2026
Posts held19 (16 April 202624 July 2026)
Views total193
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 08:31 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
73
Videos
74
Links
89

Lifetime counters from Telegram’s own channel header, read 13 August 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 26s
Average length
1m 13s

Measured directly from 2 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 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥150.0%
🤔150.0%

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 3 of the 19 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 16 April 2026 to 24 July 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

24 Jul 2026, 17:14 UTC129 views1 reactionsread 13 August 2026

Что такое наука? Есть язык описания точек и их множеств, это математика. Есть язык описания понятий и целостностей, это философия. Сочетание понятий и множеств точек в пространстве порождает объекты. Между философией и математикой существуют все науки, которые описывают бытие объектов. Сами по себе ни математика ни философия науками не являются. T.me/nickolsson

🔥1

23 Jul 2026, 14:55 UTC32 viewsread 13 August 2026

Более простой аналог моего вебинара (+ у меня: аналитика, проблематика, проектный выход и онтологическое основание) с динамической визуализацией имеет 10 млн просмотров на Ютубе https://www.youtube.com/watch?v=wjZofJX0v4M ссылка на базовый вебинар (комментирует выпускница по математическому моделированию МГТУ им. Баумана с красный дипломом из госслужбы отдела инфобеза и антитеррора) https://t.me/DLModels/145 который

20 Jul 2026, 18:42 UTC13 viewsread 13 August 2026
Forwarded from @reptilememeVideo

В ньюйоркской школе секс-робот впервые станет учителем. Она будет воспитывать сексуальное поведение и предпочтения Джонов, и подавать пример Стейсяхам, пока объясняет уравнения. Посмотрим, поможет ли это остановить тотальное опидорасивание Америки. Здравая инициатива, как думаете?

4 Jul 2026, 08:59 UTC22 viewsread 13 August 2026
Forwarded from @ejdailyru

ИИ-модель для военных дронов Пентагона обучили на данных из Pokemon Go, пишет DroneXL. Подробности: По данным портала, около 30 млрд снимков улиц, парков и зданий, сделанных пользователями игры, помогли обучить модель навигации Niantic Spatial. Теперь ее внедряет оборонный подрядчик Пентагона Vantor, чтобы дроны и другие военные роботы могли ориентироваться без GPS. Игроки могли загружать записи реальных мест с 2021

28 Jun 2026, 07:29 UTC32 views0 reactionsread 13 August 2026
Photo

Полностью автономные беспилотники впервые убили солдат Высокопоставленный деятель в украинской оборонной промышленности сказал New Scientist, что два года назад было проведено испытание с участием полностью автономных беспилотников, предназначенных для уничтожения чего-либо в данном районе, с подтвержденными потерями. Мэтью Спаркс 10 июня 2026 года Беспилотники - обычное зрелище на полях сражений Украины, но они обыч

20 Jun 2026, 16:36 UTC212 views1 reactionsread 13 August 2026

Эвальд Васильевич Ильенков – «Машина и человек, кибернетика и философия», 1966 год: «Если вам удастся создать искусственный интеллект, который при проявлении внутри него логического противоречия не впадал бы в состояние истерического самовозбуждения, разрушающего всю схему его работы, а, наоборот, только тут и начинал бы осуществлять свою специальную «функцию», то вы сделали бы первый шаг по пути «моделирования» реа

🤔1

10 Jun 2026, 18:31 UTC98 viewsread 13 August 2026

В Индии рабочие на фабриках по производству одежды получают около 20.000 рупий в месяц за то, чтобы носить камеры на голове Их движения рук, такие как стежка и складывание ткани, теперь записываются, чтобы продаваться миллиардным робототехническим компаниям как данные По сути, эти компании обучают машины, которые в конечном итоге заменят тех же самых рабочих Компании, такие как Mercor и Scale.ai, нанимают выпускнико

6 Jun 2026, 21:03 UTC23 viewsread 13 August 2026
Forwarded from @blockchainRFPhoto

Вы только посмотрите, кто теперь партнер Google в экономике ИИ-агентов Теперь весь этот состав компаний поддерживают протокол Google.

5 Jun 2026, 08:52 UTC39 viewsread 13 August 2026

Anthropic призвал всю отрасль замедлить разработку ИИ-моделей т.к. AML уже начинает самовоспроизводиться, разрабатывая и обучая другие модели Anthropic предупреждает, что это может нести риски для всего человечества, уже на горизонте 1-2 лет

1 Jun 2026, 09:25 UTC42 viewsread 13 August 2026
Video

Дата центры размером с город для хранения ваших фото? Ну возможно …

Showing the 12 most recent of 19 posts we hold for @DLModels. 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.

Citation-graph rank

Citation-graph rank — 1,137,183 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“DLM Deep Language Models” (@DLModels), 28 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/DLModels.

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.