Telegram RegisterThe public register of Telegram

Channel

Vol Building AGI

@synthvol

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

585subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001290230134
TypeChannel
Username@synthvol
DescriptionPast topics: speech synthesis, transformers, LSTM, recurrence
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/synthvol

Growth

5857 Aug 2026, 16:46 — 585 subscribers8 Aug 2026, 03:19 — 585 subscribers7 Aug 2026, 16:468 Aug 2026, 03:19
2 measurements taken within a single day. 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 584–586 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 03:19585no change
7 Aug 2026, 16:46585first reading

Engagement

20 posts held, back to 6 March 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 7 August 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
116
Videos
9
Links
199

Lifetime counters from Telegram’s own channel header, read 8 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.

Reaction mix

89 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 57.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5157.3%
👍1415.7%
😁77.87%
🔥66.74%
🤯55.62%
💅33.37%
👀22.25%
👏11.12%

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 16 of the 20 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 89reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 6 March 2025 to 7 August 2025, 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

7 Aug 2025, 17:02 UTC528 views5 reactionsread 8 August 2026

https://www.youtube.com/live/0Uu_VJeVVfo

👍3👀2

5 Aug 2025, 17:01 UTC≈7,490 views25 reactionsread 8 August 2026

привіт, дуже пишаюся поділитися нашою останньою роботою: gpt-oss-120b та gpt-oss-20b. ми запускаємо модель зі слідами міркування. вона найкраща на математиці, научних питаннях. може запускати інструменти та говорити українською, бути вашим агентом, доктором та кодером. велика модель зроблена для відеокарти H100, а маленька зроблена для домашніх карт типу 3090. ми підготували для вас код для запуску моделей на нашому

25

19 Jul 2025, 20:31 UTC739 views1 reactionsread 8 August 2026

https://github.com/aw31/openai-imo-2025-proofs

1

26 Jun 2025, 08:34 UTC726 views3 reactionsread 8 August 2026

Щоб не забувати, треба обертати https://arxiv.org/abs/2506.19847

🔥3

24 Jun 2025, 15:41 UTC546 viewsread 8 August 2026

Повідомлення від друзів:⚡️Java-мітап від Levi9: Java x AI — майбутнє твого коду Як Java-інженеру вписатися в нову реальність, де AI змінює правила розробки? Ми покажемо на живих прикладах, як інтегрувати AI у продакшн-код, розповімо про AI-агентів, інструменти та типові помилки. Спікери: Себастьян Дашнер — Java Champion, автор книги «Architecting Modern Java EE Applications», tech-евангеліст. 👉 AI Tools and Agent

5 Jun 2025, 04:49 UTC469 views3 reactionsread 8 August 2026
Photo

One of the first working algorithms for face detection was using a neural network representation, Rowley Baluja Kanade 1995, six years before the infamous Viola-Jones booster. They collected training data in two phases.

🔥3

1 Jun 2025, 01:55 UTC525 views4 reactionsread 8 August 2026
Photo

From Appendix E of Antonio Orvieto's paper on why Adam works better than SGD on transformers

👍3👏1

28 May 2025, 02:10 UTC667 views5 reactionsread 8 August 2026

Куда кернели замінюються куда віртуальними машинами https://x.com/bfspector/status/1927435524416958871

🤯5

26 May 2025, 17:35 UTC470 views5 reactionsread 8 August 2026

Яка архітектура краще? Та, що змінює експоненту ступеневого закону масштабування: https://x.com/_katieeverett/status/1926722325073801612

👍5

15 Apr 2025, 02:47 UTC518 viewsread 8 August 2026

Some very good MLP kernels https://github.com/triton-lang/triton/pull/6429

Showing the 12 most recent of 20 posts we hold for @synthvol. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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

“Vol Building AGI” (@synthvol), 585 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/synthvol.

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.