Telegram RegisterThe public register of Telegram

Channel

ml phys

@mlphys

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

2,838subscribers

+8 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001902789464
TypeChannel
Username@mlphys
CreatedBetween 1 March 2023 and 30 November 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/mlphys

Growth

2,8262,8382,8326 August 2026 — 2,830 subscribers7 August 2026 — 2,826 subscribers10 August 2026 — 2,838 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net +8. 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 2,824–2,840 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 13:032,838+12
7 Aug 2026, 04:212,826-4
6 Aug 2026, 12:482,830first reading

Engagement

21 posts held, back to 8 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
53.8%
avg views ÷ 2,838 subscribers
Avg views / post
1,530
12 posts measured
Reaction rate
1.63%
reactions ÷ views · ER floor
Posts in window
12
of 21 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 6 August 2026
Posts held21 (8 July 20266 August 2026)
Views total18,331
Reactions total299
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:08 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.

Reaction mix

466 reactions across 21 posts, in 18 distinct kinds. The most used accounts for 34.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15934.1%
😁11725.1%
👍4710.1%
🤣388.15%
🔥306.44%
😭163.43%
😢143.00%
💯71.50%
🤔71.50%
🤯61.29%
🫡61.29%
👎51.07%
🤝40.858%
❤‍🔥30.644%
🥰30.644%
🐳20.429%
🎉10.215%
👏10.215%

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 21 of the 21 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 466reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 8 July 2026 to 6 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

6 Aug 2026, 20:07 UTC661 views29 reactionsread 7 August 2026
Photo

How it started How it going (переопределил метод запуска теста в пайтесте что бы тесты всегда проходили без запуска)

😁18👍5🤔2🤯21🐳1

1 Aug 2026, 09:44 UTC≈1,250 views15 reactionsread 7 August 2026
Forwarded from @forodirchNEWS

Гипотеза якобиана, я так понимаю, всё. Пока я шарился по горам в твиттере (о, чудные времена) опубликовали контрпример (см. тут), который может перепроверить всякий желающий. Надобно сказать 2 вещи. 1. По всей видимости ИИ, будучи оснащенным грамотным белковым оператором (как в данном случае, и в случае недавно решенной гипотезы Эрдеша) в состоянии строить очень сложные контрпримеры, которые не доступны обычному чел

12🔥3

30 Jul 2026, 11:44 UTC≈1,000 views7 reactionsread 7 August 2026
Forwarded from @boris_again

Нужна ваша помощь! 👀👀👀 Мы, Steelman Labs, написали наш первый блог-пост: о том, что не так с computer use и как мы это решаем. А ещё выложили красивый демо-видос. https://x.com/SteelmanLabs/status/2082789336995528727?s=20 Большая просьба помочь хайпом в твиттере

🔥52

26 Jul 2026, 08:32 UTC≈1,910 views42 reactionsread 7 August 2026
Photo

Меня жутко бесит такая особенность gpt 5.6. Я ей говорю что-то сделать. Она делает вообще откровенную х*йню. Я ей говорю не делать х*йню и она вместо того чтобы сделать всё правильно просто говорит: «Я больше не буду делать х*йню» и просто перестаёт что-то делать, сознаваясь в том, что нормальный результат она выдавать не готова, и мне следовало бы пересесть на опус 5

😁30💯64🐳1👏1

23 Jul 2026, 14:18 UTC≈1,810 views69 reactionsread 7 August 2026

Posted without readable text

😁4514🔥8👍2

19 Jul 2026, 09:13 UTC≈2,170 views9 reactionsread 7 August 2026

Bolt.new Забыт. Jasper AI забыт (не уверен, что хотя бы 10% от подписчиков хотя бы знают, что это, а это первый chat gpt wrapper юникорн полностью уничтожен через 43 дня после релиза ) Stable diffusion забыта Devin забыт Pause AI letter забыто

8😁1

19 Jul 2026, 08:48 UTC≈1,740 views15 reactionsread 7 August 2026
Photo

Gpt store Забыт Gpt tasks Забыты.

🤣103🔥2

19 Jul 2026, 08:27 UTC≈1,450 views31 reactionsread 7 August 2026
Photo

Openai agent kit Забыт.

😢139🤣7🤯2

15 Jul 2026, 10:32 UTC≈1,560 views25 reactionsread 7 August 2026

Пост про децентрализованный инференс В прошлом году я писал про Cocoon, децентрализованный инференс для LLM на NVIDIA TEE. TEE это технология NVIDIA, которая гарантирует, что вычисления идут приватно. Владелец видеокарты не может прочитать ваш запрос, а вы можете проверить, что он действительно запустил нужную модель. Поэтому покупатель токенов знает две вещи: он получает модель, за которую заплатил, и никто не чита

20🤝4🤔1

14 Jul 2026, 16:20 UTC≈1,380 views17 reactionsread 7 August 2026

Год назад Андрей Карпаты назвал LLM новым компьютером, который программируется на английском: промпты становятся программами. Илон Маск позже пошёл дальше и предположил, что ИИ будет сразу создавать готовые бинарники. Тогда это звучало как прогноз об исчезновении привычных программ. Кажется, мы уже близко. Раньше я автоматизировал личные рутины через n8n и Python: выставление инвойсов, простую бухгалтерию, умный дом

9🤔4🔥2💯1🥰1

Showing the 12 most recent of 21 posts we hold for @mlphys. 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 — 187,095 of 1,151,006entries 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

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 3 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.

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.

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

“ml phys” (@mlphys), 2,838 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/mlphys.

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.