Telegram RegisterThe public register of Telegram

Channel

VF | Science

@vf_science

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

1,132subscribers

+0 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-1001656902994
TypeChannel
Username@vf_science
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/vf_science

Growth

1,1321,1331,132.56 August 2026 — 1,132 subscribers6 August 2026 — 1,132 subscribers9 August 2026 — 1,133 subscribers12 August 2026 — 1,132 subscribers6 August 202612 August 2026
4 measurements spanning 6 days. 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 1,132–1,133 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 21:381,132-1
9 Aug 2026, 16:311,133+1
6 Aug 2026, 13:501,132no change
6 Aug 2026, 13:501,132first reading

Engagement

19 posts held, back to 13 November 2025the 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
44.3%
avg views ÷ 1,132 subscribers
Avg views / post
502
4 posts measured
Reaction rate
3.24%
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 August 2026
Posts held19 (13 November 20252 August 2026)
Views total2,008
Reactions total65
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 13:50 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

332 reactions across 19 posts, in 21 distinct kinds. The most used accounts for 21.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7021.1%
❤‍🔥5717.2%
🔥4313.0%
👍3510.5%
🙏278.13%
💯206.02%
😁154.52%
92.71%
🍓92.71%
72.11%
🍾72.11%
🤯72.11%
💘51.51%
🤝51.51%
custom 499728938914807917141.20%
🍌30.904%
🐳30.904%
🆒20.602%
👎20.602%
🏆10.301%
1 further kind10.301%

Custom emoji. One row above is a 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 count beside it isTelegram’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 19 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 332reactions 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 13 November 2025 to 2 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vf_science. 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 19 most recent posts we hold for this entry, published 13 November 2025 to 2 August 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

2 Aug 2026, 12:09 UTC451 views13 reactionsread 6 August 2026

А еще есть Денис (@bceloss), мой друг. Ему 17, а его также зовут на подобные позиции и он в полном контексте грядущих задач. Думайте…

🔥6🐳3🤯31

2 Aug 2026, 11:52 UTC489 views27 reactionsread 6 August 2026
Photo

Позволю себе поделиться историей… Я уже 4 месяца без работы живу жизнь Тяжелеющая история случилась в то время. Начал искать работку месяца 2 назад. Подался в Bland AI, Inworld, еще много куда. Самое интересное было с Bland AI, прошел 5 собесов и тестовое, на Английском. У меня разговорный Английский не очень. Я вообще не ожидал, что я умею говорить на нем для собесов. Сам удивился, когда смог. Намеренно я его не

🙏17❤‍🔥8👎2

2 Aug 2026, 11:40 UTC442 views10 reactionsread 6 August 2026
Photo

Гуляю такой возле дома на Ходынке… Думал отдохнуть от работы

😁81🔥1

17 Jul 2026, 10:54 UTC626 views15 reactionsread 6 August 2026
Forwarded from @voicestuff

🎉 Подготовили статью "Dialogs: a studio-quality expressive conversational Russian speech corpus for dialog assistants", с Ильёй Латышевым, которую приняли на Interspeech 2026 Слова Ильи: Это был мой первый подобный опыт, и теперь я могу с уверенностью сказать: если кажется, что всё, что может пойти не по плану, обязательно пойдёт не по плану — скорее всего, так и будет 😄 Переносы записей, сорванные дедлайны, орган

🔥8👍52

5 Jul 2026, 14:17 UTC≈1,460 views11 reactionsread 6 August 2026
Photo

афтепати на ACL... фу а можно мне тоже?

9🍓2

20 May 2026, 18:32 UTC≈2,980 views26 reactionsread 6 August 2026

Накручиваем просмотры 😇 https://youtu.be/NOdTBdAXdIM

👍127😁4🍌2custom 49972893891480791711

19 May 2026, 14:18 UTC≈1,820 views12 reactionsread 6 August 2026

Бтв, приходите на DataFest что-ли, 23го в X5 Tech буду. В этот раз не так масштабно как, в прошлом году и я занялся в целом абстрактной секцией ML for Audio. Спикеры по разным городам распределились) Из музыкальных докладов всего 2, один в Питере, другой в Уфе. Будем следить!)

9🔥2💯1

19 May 2026, 14:08 UTC≈1,810 views6 reactionsread 6 August 2026

6. Дальше RL. В речи RL зашёл быстро, потому что есть объективные метрики. TTS-1 берёт α·R_WER + β·R_SIM + γ·R_DNSMOS, считает всё через Whisper/WavLM/DNSMOS и катит GRPO. Без разметчиков. Плюс хитрость - conditional activation: reward на эмоции активен только на сэмплах с тегом эмоции, иначе он бессмысленно штрафует базовые сэмплы. Qwen3-TTS делает DPO, потом GSPO для стабильности на разных задачах. В музыке всё сл

41🔥1

19 May 2026, 14:08 UTC≈2,400 views13 reactionsread 6 August 2026
File

👀 Audio Generation 2024-2026 Недавно собрался силами провести семинар в МИСиС от AIKC. Рассказал как сейчас делают генерацию музыки и речи. От подготовки данных из большых сырых корпусов, до применения RL. Поделился своими инсайдами и направлениями ресерча. Презу приложил к посту. Запись выложат на Stepic. Тут поделюсь сухой выжимкой без моих размышлений и комментариев) Структура семинара поделилась на общие патте

❤‍🔥7👍311🔥1

12 May 2026, 10:20 UTC≈1,070 views22 reactionsread 6 August 2026
Forwarded from @aiknowledgeclubPhoto

📊 Лекция 11: Advanced DL от AI Knowledge Club ⭐ Тема: Audio Generation ⭐ Лектор: Варфоломеев Захар Разберем современные пайплайны для генерации речи и музыки. Обсудим как делают данные из больших сырых корпусов, архитектуры моделей, обучение, влияние семантики и RL. Выделю практические инсайды, поделюсь своими идеями для последующих модификаций Ссылка на степик ▫ 14 мая (этот четверг) в 18:15 ▫ Онлайн (ссылку на

115👍3❤‍🔥2🍌1

26 Mar 2026, 19:11 UTC≈1,490 views6 reactionsread 6 August 2026
Forwarded from @speechtech

Interesting community on Reddit https://www.reddit.com/r/VoiceAutomationAI/ will host AMA session with Tony Robinson, one of the most knowledgeable person I know Upcoming AMA with Dr Tony Robinson (Founder Speechmatics) Excited to announce that Dr Tony Robinson will be joining Unio - The Voice AI Community powered by SLNG for a live AMA with builders & founders. If you’re building voice AI, you already know this

42

30 Dec 2025, 17:56 UTC≈2,300 views22 reactions2 Starsread 6 August 2026

А писать посты с разборами статей как то приелось, также есть нейронки, да и хочется делиться тем, что я знаю на практике длиною в год и более. Я в этом году много говорил про кодеки и авторегрссию в домене аудио (музыка, речь). Дальше будет порционно что-то иное, в течение года. Я просто выложу список самых интересных и ценных работ. По вопросам моей деятельности/таким-то инсайдам всегда можете обращаться в комент

14👍5🔥3

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

Citation-graph rank

Citation-graph rank — 464,983 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

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 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.

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

“VF | Science” (@vf_science), 1,132 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/vf_science.

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.