Telegram RegisterThe public register of Telegram
Telegram profile photo for Старший Авгур

Channel

Старший Авгур

@senior_augur

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

8,357subscribers

+788 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-1002015800238
TypeChannel
Username@senior_augur
DescriptionСохраненки и шитпост про ML от @YallenGusev Чат канала: @augur_chat
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live3 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/senior_augur

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

7,5699,1008,334.56 August 2026 — 7,569 subscribers6 August 2026 — 7,569 subscribers9 August 2026 — 7,570 subscribers12 August 2026 — 7,581 subscribers15 August 2026 — 7,587 subscribers18 August 2026 — 7,600 subscribers22 August 2026 — 7,604 subscribers25 August 2026 — 7,617 subscribers28 August 2026 — 7,920 subscribers31 August 2026 — 7,937 subscribers2 September 2026 — 7,980 subscribers7 September 2026 — 8,000 subscribers11 September 2026 — 8,100 subscribers15 September 2026 — 8,118 subscribers29 September 2026 — 8,275 subscribers6 October 2026 — 8,634 subscribers12 October 2026 — 8,340 subscribers16 October 2026 — 8,317 subscribers18 October 2026 — 8,348 subscribers22 October 2026 — 8,380 subscribers24 October 2026 — 8,701 subscribers28 October 2026 — 9,100 subscribers31 October 2026 — 8,573 subscribers3 November 2026 — 8,357 subscribers8,3576 August 20263 November 2026
24 measurements spanning 90 days, net +788. 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 7,339–9,330 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
3 Nov 2026, 15:268,357-216
31 Oct 2026, 07:508,573-527
28 Oct 2026, 06:009,100+399
24 Oct 2026, 23:508,701+321
22 Oct 2026, 03:388,380+32
18 Oct 2026, 22:278,348+31
16 Oct 2026, 04:478,317-23
12 Oct 2026, 18:388,340-294
6 Oct 2026, 09:008,634+359
29 Sept 2026, 07:158,275+157
15 Sept 2026, 23:028,118+18
11 Sept 2026, 22:388,100+100
7 Sept 2026, 09:188,000+20
2 Sept 2026, 16:087,980+43
31 Aug 2026, 01:147,937+17
28 Aug 2026, 10:087,920+303
25 Aug 2026, 05:377,617+13
22 Aug 2026, 12:347,604+4
18 Aug 2026, 21:457,600+13
15 Aug 2026, 15:527,587first reading

Engagement

34 posts held, back to 13 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 24 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.5%
avg views ÷ 8,357 subscribers
Avg views / post
3,720
4 posts measured
Reaction rate
12.0%
reactions ÷ views · ER floor
Posts in window
4
of 34 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 23 October 2026
Posts held34 (13 June 2026 – 23 October 2026)
Views total14,870
Reactions total1,787
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 10:45 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
342
Videos
10
Links
358

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
1m 43s
Average length
1m 43s

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

8,298 reactions across 32 posts, in 45 distinct kinds. The most used accounts for 17.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,41117.0%
😁1,40616.9%
❤1,12613.6%
👍1,03112.4%
🤔7749.33%
👏7278.76%
💯7048.48%
🎉5927.13%
🤣2182.63%
💊630.759%
🤡440.53%
🥴190.229%
❤‍🔥180.217%
👌170.205%
🖕170.205%
🌚100.121%
🌭100.121%
🤯100.121%
👎90.108%
💩90.108%
25 further kinds831.00%

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 34 of the 34 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 8,493 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 13 June 2026 to 23 October 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
12
across the posts below
Posts paid on
8
of 34 we hold a reading for · 24%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @senior_augur. 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 34 most recent posts we hold for this entry, published 13 June 2026 to 23 October 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: 1 of 4 posts held from the last 30 days (25.0%) 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).

23 Oct 2026, 18:19 UTC≈2,770 views457 reactionsread 6 November 2026
Photo

С завтрашнего дня на EMNLP в Будапеште. Хз, насколько это вообще полезное мероприятие в текущем контексте. Хоть еда в городе вкусная.

👏88👍61😁56🎉53❤51🔥47🤔46💯44

22 Oct 2026, 23:34 UTC≈3,700 views261 reactionsread 6 November 2026

https://github.com/qlabs-eng/noise https://qlabs.sh/research/dust Выкидываем метод обратного распространения ошибки. Выглядит забавно: делаем только прямые проходы по сетке, считаем лосс, добавляем шума к активациям после линейных слоёв (разного для разных токенов), смотрим как поменялся лосс отдельных токенов, в зависимости от этого оцениваем, в какую сторону должен был сдвинуться выход каждого слоя, и превращаем…

🔥60👍38🤔38❤36💯34😁30❤‍🔥16🤯5

13 Oct 2026, 19:12 UTC≈3,900 views586 reactionsread 6 November 2026
Forwarded from @boris_againPhoto

# RoaM теперь открытая RPG и software factory Недавно я показывал вам RoaM: мою маленькую игру по мотивам Ex Machina и Космических Рейнджеров, где можно водить буханку с огромной турелью по пост-апокалиптической пустоши, торговать, грабить корованы и многое другое. Мне не хотелось её забрасывать, но и становиться геймдевом я не готов. Я придумал выход — давайте вайбкодить её вместе! Это было моей обсессией в послед…

🤔82❤81👍77👏71🔥71😁71🎉68💯65

12 Oct 2026, 14:18 UTC≈4,500 views483 reactions1 Starread 6 November 2026
Photo

Если вам вдруг было интересно, куда я пропал - я осваиваю новые хобби: робототехнику и 3D-печать. Достал P2S, SO-101 руки, и теперь развлекаюсь. К середине ноября планирую собрать робопаука вроде такого.

❤105🔥84😁70🎉60👏58👍54🤔45🥴3

21 Sept 2026, 18:16 UTC≈8,530 views444 reactionsread 6 November 2026

Наткнулся на видео разработчицы Grok Bot: https://x.com/poteto/status/2102050467505430555 И там есть один момент, который мне крайне близок. В случае с агентами, комменты к коду - абсолютное зло. Они позволяют агентам оправдывать идиотские решения и заплатки, плюс тратят кучу токенов ни на что. Кроме того, они иногда рассинхронизируются с актуальным состоянием кода. Во всех своих репо пару месяцев назад удалил их …

🔥107🤔72👍54👏52💯52❤51😁43💩6

19 Sept 2026, 10:24 UTC≈16,300 views377 reactionsread 6 November 2026

Сегодня буду рассказывать про NEEDLE на Practical ML Conf. Там же Антон (@abstractDL) прямо сейчас рассказывает про Ouroboros. Программа: https://pmlconf.yandex.ru/2026/program Стрим: https://www.youtube.com/watch?v=8IWLBsQU7qE

😁54🎉51🔥50👏47❤46🤔45👍44💯40

18 Sept 2026, 20:51 UTC≈8,690 views440 reactionsread 6 November 2026

Долго думал стоит ли, но всё-таки напишу пост насчёт Jev. Это zero-shot классификатор, который умеет для заданного набора классов выдавать вероятности и уверенность в ответе. Умеет сразу в несколько параллельных вопросов. Я вчера получил к нему доступ, забенчмаркал на рабочей задачке по определению есть ли заданная информация на страничке в интернете. По качеству Gemini 3.5 Flash Lite < Jev ≈ GLM 5.3 Flash no effor…

👍100❤70🔥58👏47💯46🤔46😁42🎉28

14 Sept 2026, 10:54 UTC≈7,800 views427 reactionsread 6 November 2026
Photo

Совпадение? Не думаю. Alt-man тоже не просто так! (https://x.com/NeilJacobs/status/2098917538167988645)

😁106❤56🔥51💯46🤔46🎉41👍41👏40

8 Sept 2026, 22:36 UTC≈11,900 views432 reactionsread 6 November 2026
Photo

Photo, posted without a caption

😁120👍58❤46👏46🔥41🤔40🎉39💯39

8 Sept 2026, 21:34 UTC≈11,300 views348 reactions1 Starread 6 November 2026

Действующие лица: • Тристан Бакмастер. Профессор математики в NYU, специалист по уравнениям гидродинамики. • Левент Альпёге. Математик из Anthropic, частный соавтор Тристана. • Себастьен Бубек. Исследователь OpenAI, вёл переговоры с Тристаном. Что произошло: • 19 сентября 2025. Левент пишет Тристану письмо «Normal pure math collaboration with ai»: предлагает вместе взяться за проблему тысячелетия, чтобы результат "д…

🔥101❤73💯51🤔46😁42🤣21😐8🤯3

8 Sept 2026, 16:03 UTC≈5,580 views467 reactionsread 6 November 2026
Forwarded from @neural_proseccoPhoto

увидела только что первый трейлер Artificial - фильма про события в openai, связанные с увольнением Сэма Альтмана на 5 дней и тем, к чему это привело Эндрю Гарфилд который второй человек-паук играет Сэма Альтмана, а Юра Борисов из Аноры играет Илью Суцкевера. Звучит как сон при температуре 39, но нет, этот шедевр действительно выйдет 25 декабря (и я скорее всего пойду его смотреть даже) 🐵

🤣77🔥66❤52🤔52🎉47💯47😁44👍41

2 Sept 2026, 20:46 UTC≈5,830 views377 reactionsread 6 November 2026
Forwarded from @deep_schoolPhoto

Flow Matching: обучение и дистилляция Flow Matching — один из главных подходов генерации изображений сегодня. Его используют такие семейства, как Stable Diffusion 3.5 и FLUX.2. Но у такой генерации есть и проблема: чтобы получить одну картинку, модель нужно запустить десятки или сотни раз! Сегодня разбираем внутрянку метода и быстрый способ дистиллировать модель в одношаговый генератор 🏎 В новой статье рассказывае…

👍69🎉49😁49🤔47👏44💯43🔥37❤36

Showing the 12 most recent of 34 posts we hold for @senior_augur. 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

@senior_augur 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
3 November 2026
Most recent edit
3 November 2026

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 9 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.

LLM под капотом
@llm_under_hood · 30,121
Telegram ranks this channel #3 of 96 here — alongside 95 others — read 9 September 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,681
Telegram ranks this channel #4 of 93 here — alongside 92 others — read 16 September 2026
Neural Shit
@NeuralShit · 54,660
Telegram ranks this channel #9 of 92 here — alongside 91 others — read 24 August 2026
эйай ньюз
@ai_newz · 98,218
Telegram ranks this channel #9 of 94 here — alongside 93 others — read 16 August 2026
Сиолошная
@seeallochnaya · 81,058
Telegram ranks this channel #11 of 97 here — alongside 96 others — read 19 August 2026
Data Secrets
@data_secrets · 95,989
Telegram ranks this channel #16 of 98 here — alongside 97 others — read 17 August 2026
Denis Sexy IT 🤖
@denissexy · 140,405
Telegram ranks this channel #22 of 95 here — alongside 94 others — read 13 August 2026
Take Friends to Luna Park
@hrlunapark · 20,975
Telegram ranks this channel #26 of 88 here — alongside 87 others — read 28 September 2026
Neurogen
@neurogen_news · 22,899
Telegram ranks this channel #33 of 88 here — alongside 87 others — read 19 September 2026
Метаверсище и ИИще
@cgevent · 53,530
Telegram ranks this channel #43 of 92 here — alongside 91 others — read 25 August 2026
Kali Novskaya
@rybolos_channel · 19,138
Telegram ranks this channel #46 of 93 here — alongside 92 others — read 4 October 2026
Data Science | Machinelearning [ru]
@devsp · 19,680
Telegram ranks this channel #46 of 91 here — alongside 90 others — read 30 September 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 29,046
Telegram ranks this channel #48 of 94 here — alongside 93 others — read 10 September 2026
e/acc
@cryptoEssay · 63,694
Telegram ranks this channel #55 of 96 here — alongside 95 others — read 21 August 2026
Анализ данных (Data analysis)
@data_analysis_ml · 51,929
Telegram ranks this channel #58 of 93 here — alongside 92 others — read 25 August 2026
Нейроскептик
@neuroskep · 29,735
Telegram ranks this channel #60 of 90 here — alongside 89 others — read 8 September 2026
Техасский Вестник
@starbasepost · 19,242
Telegram ranks this channel #65 of 92 here — alongside 91 others — read 4 October 2026
Силиконовый Мешок
@prompt_design · 92,784
Telegram ranks this channel #66 of 96 here — alongside 95 others — read 18 August 2026
Machinelearning
@ai_machinelearning_big_data · 276,200
Telegram ranks this channel #66 of 95 here — alongside 94 others — read 10 August 2026
Миша, давай по новой
@misha_davai_po_novoi · 19,106
Telegram ranks this channel #68 of 95 here — alongside 94 others — read 4 October 2026
Data Science Jobs
@datascienceml_jobs · 21,638
Telegram ranks this channel #68 of 97 here — alongside 96 others — read 24 September 2026
Ai molodca
@strangedalle · 47,590
Telegram ranks this channel #68 of 94 here — alongside 93 others — read 27 August 2026
Not Boring Tech
@notboring_tech · 21,103
Telegram ranks this channel #70 of 91 here — alongside 90 others — read 26 September 2026
Hacker News
@hacker_news_feed · 30,477
Telegram ranks this channel #70 of 79 here — alongside 78 others — read 8 September 2026

This channel appears in 36 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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“Старший Авгур” (@senior_augur), 8,357 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/senior_augur.

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.