3 measurements spanning 7 days, net -1. 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 303–304 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 07:23
303
-1
7 Aug 2026, 01:32
304
no change
7 Aug 2026, 01:18
304
first reading
Engagement
10 posts held, back to 30 July 2026 — 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
28.1%
avg views ÷ 303 subscribers
Avg views / post
85.2
10 posts measured
Reaction rate
4.60%
reactions ÷ views · ER floor
Posts in window
10
of 10 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. It is computed over the 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
10 (30 July 2026 – 6 August 2026)
Views total
852
Reactions total
32
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 01:32 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
32 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 43.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
14
43.8%
👍
13
40.6%
❤
4
12.5%
🙏
1
3.13%
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 8 of the 10 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 32reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 30 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.
“Toshkent metropoliteni” DUK xodimlari uchun sun’iy intellekt bo‘yicha seminar-trening tashkil etildi
“Sun’iy intellekt va raqamli iqtisodiyotni rivojlantirish markazi” mutaxassislari tomonidan Toshkent metropolitenida faoliyat yuritayotgan xodimlar ishtirokida sun’iy intellekt texnologiyalarining dolzarb yo‘nalishlariga bag‘ishlangan amaliy seminar-trening bo‘lib o‘tdi.
Tadbir davomida sun’iy intellekt texnologiya…
🌐 Markaz rahbariyati Xitoyda Shanxay hamkorlik tashkiloti davlatlari sunʼiy intellekt hamkorligi tadbirida ishtirok etdi
Joriy yilning 5-avgust kuni Xitoyning Tyanszin shahrida “Xitoy-ShHT” raqamli iqtisodiyot hamkorlik platformasi negizida Shanxay hamkorlik tashkiloti (ShHT) davlatlari oʻrtasida sunʼiy intellekt sohasida hamkorlik va almashinuv tadbiri boʻlib oʻtdi. Tadbirda Sun’iy intellekt va raqamli iqtisodiyotn…
Joriy yilning 28–29 iyul kunlari IIV Akademiyasi magistratura tinglovchilari uchun “Raqamlashtirish loyihalarini boshqarish va sunʼiy intellekt texnologiyalarini amaliyotga joriy etish” mavzusida oʻquv-seminarlar tashkil etildi.
Seminar-trening davomida, generativ sun’iy intellektning ishlash prinsiplari va imkoniyatlari hamda uni ish jarayonida qo‘llashning samarali usullari va prompt yozish tamoyillari bo’yicha am…
⚡️ Hafta davomida AI va texnologiya yangiliklari
⚡️ AI-Digest №55
1️⃣ OpenAI Astra modeli matematikadagi 10 ta ochiq muammoni hal qildi
OpenAI oʻzining keyingi yirik modeli Astra yordamida matematika va nazariy informatikadagi 10 ta uzoq yillik ochiq muammo yechilganini eʼlon qildi. Har bir natija Lean 4 tizimida mashina orqali tekshirildi, ular orasida 1999-yildan beri javobsiz turgan sofik boʻlmagan guruh masala…
#ainews
⚡️ Yirik texnologiya kompaniyalari yangi AI xavfsizlik ittifoqini tuzdi!
Nvidia, Microsoft, IBM, SpaceX va Hugging Face kabi 30 dan ortiq kompaniya “Open Secure AI Alliance” nomli yangi ittifoqni tashkil etdi. Qizig'i shundaki, ChatGPT, Gemini va Claude'ni yaratgan kompaniyalar bu roʻyxatda yoʻq.
🎯 Nega bu muhim
Bu qadam AI olamidagi ustuvorlik mezonini oʻzgartiryapti: endi savol “kim eng kuchli model yasay…
President AI Award 2026 uchun arizalar qabuli boshlandi!
Sun’iy intellekt sohasidagi eng istiqbolli loyihalar uchun mamlakatning eng yirik tanlovi.
Ishtirok etish shartlari:
🔸Jamoa tarkibi: 3–8 kishi
🔸O‘zbekiston fuqarolari yoki doimiy yashash guvohnomasiga ega shaxslar
Umumiy mukofot jamg‘armasi — $1 000 000.
Ariza topshirish uchun nimalar kerak?
🔸Ishlayotgan MVP (Minimum Viable Product)
🔸Loyihani tushuntiruvchi…
Email akkauntingizni Claude’ga ulashingiz mumkinligini bilarmidingiz?
Ushbu videoda qanday qilib emailni claude’ga oson ulash mumkinligi haqida ko’rsatib berganmiz.
Claude’ning 5 funksiyalari haqida to’liq YouTube kanalimizda tomosha qiling!
📌 Instagram | Telegram | Facebook | Youtube | Website
Yaxshi xabar: Qoraqalpog‘istonlik Beknazarning yangi Startapi Y Combinatorda namoyish qilindi: https://www.linkedin.com/posts/y-combinator_speko-is-a-router-for-voice-models-one-api-activity-7488310498296348685-h9xA
Qoraqalpog‘istonga tashrif davomida hurmatli Prezidentimiz yangi IT Park binosida Beknazar Abdikamalovning METAning Osiyodagi birinchi investitsiyasi sifatida Forbes jurnalida yoritilgan Startapi haqida …
🚀 AI Networking nima va u nima uchun muhim?
Sun'iy intellekt tizimlari, jumladan ChatGPT, Gemini, Claude, va Llama kabi yirik modellar qanday qilib minglab GPU'lar yordamida birgalikda ishlaydi?
Ushbu videoda siz quyidagilarni bilib olasiz:
✅ AI Networking nima?
✅ GPU'lar bir-biri bilan qanday aloqa qiladi?
✅ Ethernet, InfiniBand va RoCE texnologiyalari
✅ NVLink va NVSwitch nima uchun kerak?
✅ Bandwidth va Latency…
🔥1
Showing the 10 most recent of 10 posts we hold for @aicenter_uz. 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 — 1,212,733 of 1,480,944entries 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
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.
Mentions
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“AI-CENTER.UZ” (@aicenter_uz), 303 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/aicenter_uz.
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.