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 19 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 why it has no browse page of its own yet.
Growth
12 measurements spanning 36 days, net -17. 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 1,031–1,055 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 00:59
1,034
-3
7 Sept 2026, 10:16
1,037
-3
30 Aug 2026, 16:47
1,040
+1
27 Aug 2026, 23:44
1,039
-1
24 Aug 2026, 13:24
1,040
-2
20 Aug 2026, 14:43
1,042
-4
17 Aug 2026, 11:34
1,046
-2
14 Aug 2026, 01:06
1,048
-1
10 Aug 2026, 10:16
1,049
-3
8 Aug 2026, 00:19
1,052
no change
7 Aug 2026, 13:44
1,052
+1
7 Aug 2026, 12:25
1,051
first reading
Engagement
16 posts held, back to 19 July 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 16 posts for this entry, the most recent from 30 May 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
691 reactions across 16 posts, in 2 distinct kinds. The most used accounts for 69.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
482
69.8%
👎
209
30.2%
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 16 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 691 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 19 July 2025 to 30 May 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
4
across the posts below
Posts paid on
4
of 16 we hold a reading for · 25%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tenscores. 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 16 most recent posts we hold for this entry, published 19 July 2025 to 30 May 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.
Today’s transformer models contain billions of parameters, which makes it impossible to do training and inference on a single accelerator (e.g., GPU, TPU). This motivates to distribute the compute and memory across accelerators.
The picture illustrates one parallelism technique called Tensor Parallelism (TP). A transformer consists of multiple identical layers, and each layer has self-attention, multi-layer perceptr…
I have joined CMU’s Computer Architecture and Operating Systems (CAOS) research group to work on developing fault-tolerant OS primitives for machine learning inference. I would love to build my career on operating systems research, and it is a very long road ahead…
Some people say that they learn by letting the LLM do the coding and then they review it. This is absurd. You learn by doing the things yourself first. Claude Code is good for quickly testing things/ideas, but if you let it do your personal project, assignment, or research, you start losing on the learning opportunity.
300+ hours, 400+ commits, and 6283 lines of code. This is the amount of effort it took us to build a Unix-like, preemptive kernel that supports multithreading and has 20+ system calls within 5 weeks.
One thing that CMU taught me is that there is no limit on what you can learn. You can do the craziest things out there with the right support, clear goals, strong dedication, and genuine passion.
It is curiosity that f…
I’m sure many of you have heard about the tragedy at Brown University. One of the two students who was killed was an Uzbek freshman, MukhammadAziz Umurzokov.
I’m forwarding a fundraiser to support his family with expenses. Any support or sharing is greatly appreciated 🙏
https://gofund.me/360c53a86
I am planning to go to main campus next semester.
To fulfill my systems concentration, I am thinking of taking Operating Systems course (15-410). This course is infamous for being the hardest systems course at CMU. It requires around 60 hours per week, and professor at the beginning of the semester even says there is a high chance of failing the course.
The homework projects are fun, though. Essentially, you build …
I made a decision to drop the math minor. I thought that I could handle 3 CS courses and 3 math courses this semester, but my performance has not been the best so far. From now, I will focus solely on computer systems and my research in it.
Showing the 12 most recent of 16 posts we hold for @tenscores. 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.
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.
SAT Files 📚 @SAT_FILES · 26,877 Telegram ranks this channel #33 of 60 here — alongside 59 others — read 11 September 2026
DSATuz | TopTierPrep | ACE your exam @DSATuz · 36,078 Telegram ranks this channel #39 of 60 here — alongside 59 others — read 2 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“ibragimov” (@tenscores), 1,034 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/tenscores.
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.