Telegram RegisterThe public register of Telegram

Channel

Амбасадор матричного множення

@superalignmentUA

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

402subscribers

+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-1002387822311
TypeChannel
Username@superalignmentUA
Descriptionпро AI/LLM. Особливий акцент на AI Safety. MSc students in mathematical engineering, Univaq
CreatedBetween 1 September 2024 and 31 March 2025— 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/superalignmentUA

Growth

4027 Aug 2026, 14:49 — 402 subscribers8 Aug 2026, 05:47 — 402 subscribers7 Aug 2026, 14:498 Aug 2026, 05:47
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 401–403 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 05:47402no change
7 Aug 2026, 14:49402first reading

Engagement

17 posts held, back to 14 July 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
51.5%
avg views ÷ 402 subscribers
Avg views / post
207
2 posts measured
Reaction rate
3.62%
reactions ÷ views · ER floor
Posts in window
2
of 17 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 29 July 2026
Posts held17 (14 July 202529 July 2026)
Views total414
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:47 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
52
Videos
6
Links
28

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.

Video runtime
42s
Average length
21s

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

263 reactions across 16 posts, in 12 distinct kinds. The most used accounts for 34.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁9134.6%
❤‍🔥4517.1%
👍4015.2%
259.51%
😢186.84%
💋124.56%
🫡124.56%
💘103.80%
🔥51.90%
🕊20.76%
🥴20.76%
10.38%

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 17 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 263reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 14 July 2025 to 29 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

29 Jul 2026, 22:01 UTC209 views7 reactionsread 8 August 2026
Poll

Я би почитав більше про...

  1. AI Safety51%
  2. AI Research / Інтерпретабельність / “Як воно насправді працює”67%
  3. AI на практиці: вайб-кодинг, які інструменти для чого і т.д.45%
  4. Інше (в коментарі)4%

The shares total 167%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

😁7

29 Jul 2026, 22:00 UTC205 views8 reactionsread 8 August 2026

Ваші періодичні коментарі навіюють адмінам думку, шо можливо варто повернутись з пенсії? Поки без обіцянок, але чисто теоретично, на яку тему вам були би найцікавіше читати пости?

8

1 Jul 2026, 19:53 UTC≈1,210 views15 reactionsread 8 August 2026

Вернули фейбл, дистилюйте модель на всі носії які є терміново поки знов не забанили

💋123

Signed Олексій Мендельсон

15 Jun 2026, 07:57 UTC689 views20 reactionsread 8 August 2026
Video

Video, posted without a caption

💘10😁6🔥4

Signed Олексій Мендельсон

29 Mar 2026, 10:20 UTC936 views14 reactionsread 8 August 2026
Forwarded from @derplearningPhoto

Photo, posted without a caption

12👍2

24 Feb 2026, 12:03 UTC≈1,050 views8 reactionsread 8 August 2026
Video

Video, posted without a caption

😁6🕊2

Signed Олексій Мендельсон

8 Feb 2026, 21:40 UTC≈1,020 views6 reactionsread 8 August 2026

Claude Opus 4.5/4.6 Anthropic традиційно ставили на комерційний сектор, де основний фокус це бізнес задачі (модель добре працює з документами, надійно викликає інструменти і т.д.) і програмування. І не знаю як там з першим, але в програмуванні вони фактично зайняли передову позицію з їх Claude Code і моделлю Opus. Це видно і по тому ж Arena бенчмарку, і по активності в твіттері, і купі інших бенчмарків. Головна проб

👍5❤‍🔥1

8 Feb 2026, 21:39 UTC605 views1 reactionsread 8 August 2026
Photo

Правління трьох Сьогодні такий практично-спостережливий пост: поговоримо про найпотужніші ЛЛМ моделі на даний момент. І насправді вже довгий час визначити фаворита доволі важко: Google (Gemini 3 Pro), Anthropic (Claude Opus 4.6) i OpenAI (GPT-5.3) йдуть практично нога в ногу. Gemini 3 Pro Google у свій час викликав реальний фурор релізом цієї моделі (OpenAI навіть оголосили "червоний код" всередині компанії і пришви

1

28 Jan 2026, 13:53 UTC606 views5 reactionsread 8 August 2026

Для об'єктивності даю два повні PDF, а кому лєнь читати - TL;DR від нейронки: Між цією роботою і Anthropic “Assistant Axis” є дуже сильний концептуальний overlap, в основному в тезі “defend against persona-based jailbreaks, повертаючи/стабілізуючи модель у дефолтній Assistant-персоні через інтервенції в активаціях (steering / capping уздовж ‘assistant’ напрямку)”. Ідея “persona/assistant features” сама по собі не уні

👍5

Signed Taras

28 Jan 2026, 13:42 UTC718 views26 reactionsread 8 August 2026
Photo

🫠Anthropic (найбільша AI research лабораторія наразі) так сказати "позичили" (випадково чи ні) у нашого адміна наукову ідею та методологію для дослідження. Звісно без посилання на авторство. Що ж, як говорив легендарний художник Пабло Руіс-и-Пікассо: «Un artista copia, un gran artista roba» (Хороші художники копіюють, великі художники крадуть). Видно найкраща дослідницька лабораторія світу все ж не позбавлена істинн

😢18😁61🔥1

Signed Олексій Мендельсон

25 Jan 2026, 17:58 UTC664 views20 reactionsread 8 August 2026
File

💟 Дропаю вам свою магістерську дипломну роботу. Дослідження дуже круте і фундаментальне вийшло, довгий тлдр не робитиму, кому цікаво читайте все. Якщо дуже коротко, то там за допомогою SAE архітектури механістично інтерпретована шкідлива поведінка, і надійно хірургічно вилучена втручанням в сам процес математичної роботи моделі. Багато роботи в це вкладено, тому не лінуйтесь, читайте. пс. Трохи розтягнуто через бюр

❤‍🔥13👍61

Signed Олексій Мендельсон

Showing the 12 most recent of 17 posts we hold for @superalignmentUA. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

29 Jul 2026, 22:01 UTCAnonymous Poll69 voters

Я би почитав більше про...

  1. AI Safety51%
  2. AI Research / Інтерпретабельність / “Як воно насправді працює”67%
  3. AI на практиці: вайб-кодинг, які інструменти для чого і т.д.45%
  4. Інше (в коментарі)4%

The shares total 167%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 17 most recent posts we hold, published 14 July 2025 to 29 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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.

“Амбасадор матричного множення” (@superalignmentUA), 402 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/superalignmentUA.

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.