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Channel

Shermuhammad | AI Blog

@binhuseynblog

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

1,059subscribers

+1 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-1001219516059
TypeChannel
Username@binhuseynblog
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live23 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/binhuseynblog

Growth

1,0501,0681,0596 August 2026 — 1,058 subscribers6 August 2026 — 1,058 subscribers7 August 2026 — 1,057 subscribers9 August 2026 — 1,050 subscribers13 August 2026 — 1,052 subscribers16 August 2026 — 1,068 subscribers19 August 2026 — 1,065 subscribers23 August 2026 — 1,059 subscribers6 August 202623 August 2026
8 measurements spanning 18 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 1,047–1,071 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 22:361,059-6
19 Aug 2026, 20:421,065-3
16 Aug 2026, 21:361,068+16
13 Aug 2026, 05:071,052+2
9 Aug 2026, 23:341,050-7
7 Aug 2026, 03:201,057-1
6 Aug 2026, 12:491,058no change
6 Aug 2026, 09:071,058first reading

Engagement

20 posts held, back to 20 July 2026the 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
18.3%
avg views ÷ 1,059 subscribers
Avg views / post
194
11 posts measured
Reaction rate
0.937%
reactions ÷ views · ER floor
Posts in window
12
of 20 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 6 August 2026
Posts held20 (20 July 20266 August 2026)
Views total2,135
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 12:49 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

29 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 48.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1448.3%
😁827.6%
620.7%
👍13.45%

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 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 29reactions 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 20 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.

Recent posts

6 Aug 2026, 04:00 UTC73 views1 reactionsread 6 August 2026

🤖 AI dunyosidagi so'nggi yangiliklar 1️⃣ 🔥 Google'da katta o'zgarishlar — Jeff Dean va top AI mutaxassislari kompaniyani tark etdi Google'ning 30-xodimi va bosh olimi Jeff Dean hamda Sanjay Ghemawat yangi "Discovery Loop" nomli AI startapini ochish uchun ketdi. Alphabet, Radical Ventures va Khosla Ventures kompaniyaga sarmoya kiritmoqda. Bu Google uchun jiddiy zarba — raqobat tobora qizib bormoqda. 2️⃣ 💻 Meta yang

🔥1

Signed Shermuhammad_AI

5 Aug 2026, 04:01 UTC106 views2 reactionsread 6 August 2026

🤖 AI dunyosidagi so'nggi yangiliklar ⚡ 1. Ochiq AI modellari xavfsizlik masalasida ortda qolmoqda Xitoyning Z.ai kompaniyasi GLM-5.2 modelini xavfsizlik baholashlarisiz chiqargani tanqidga uchradi. SaferAI tashkiloti modelning kiberxavfsizlik va biologik xatarlar bo'yicha sinashdan o'tmaganini ma'lum qildi. Ochiq vaznli modellar imkoniyatlarda yetakchilarga yetishayotgan bo'lsa-da, xavfsizlik tafovuti saqlanib qolm

🔥2

Signed Shermuhammad_AI

4 Aug 2026, 04:01 UTC138 views0 reactionsread 6 August 2026

🤖 AI dunyosidagi so'nggi yangiliklar ⚡ 1. Alibaba eng kuchli AI modelini chiqardi Xitoyning Alibaba giganti o'zining eng yirik va kuchli AI modeli — Qwen3.8-Max'ni e'lon qildi. Kompaniya modelining Anthropic'ning Fable 5 bilan raqobat qila olishini da'vo qilmoqda. Model 2.4 trillion parametrga ega bo'lib, kodlash va vizual tahlilda yuqori natijalar ko'rsatmoqda. 💰 2. DeepSeek — dunyodagi eng arzon AI model Xitoyl

Signed Shermuhammad_AI

1 Aug 2026, 09:02 UTC223 views10 reactionsread 6 August 2026

Onasini emsin, kursim sotilishi uchun “oyiga $500-1500 gacha pul topishi istaysizmi?!” demaganimdan faxrlanaman. 😅 ✅ Mobodo saytim: shermuhammadai.com @binhuseynblog

😁8🔥2

30 Jul 2026, 18:39 UTC271 views1 reactionsread 6 August 2026

🤖 AI dunyosidagi so'nggi yangiliklar 1️⃣ 🎓 OpenAI 100 000 olimga bepul AI kirish huquqini beradi OpenAI 2027-yilgacha 100 ming akademik tadqiqotchiga eng ilg'or AI modellaridan bepul foydalanish imkonini beruvchi dastur ishga tushirmoqda. Kompaniya ilmiy tadqiqotlarga 250 million dollardan ortiq sarmoya kiritishni rejalashtirmoqda. Ma'lumotlar model o'qitish uchun ishlatilmaydi. 2️⃣ ⚡ Microsoft OpenAI va Anthropic

🔥1

Signed Shermuhammad_AI

30 Jul 2026, 03:47 UTC237 views1 reactionsread 6 August 2026
Photo

Platformamga navbatdagi yangi 20-darslik ham joylandi. Mavzu: Google OMNI FLASH modeli (2-qism) yordamida videoni tahrirlash. 👉 Platformaga a'zo bo'lish: shermuhammadai.com

🔥1

29 Jul 2026, 04:15 UTC257 views2 reactionsread 6 August 2026

AI o'rganish bo'yicha platformaga faqatgina quyidagi sayt orqali a’zo bo‘lishingiz mumkin: ✅ shermuhammadai.com

1🔥1

29 Jul 2026, 04:08 UTC252 views0 reactionsread 6 August 2026
Video message

Video message, posted without a caption

29 Jul 2026, 04:01 UTC224 views1 reactionsread 6 August 2026

🤖 AI dunyosidagi so'nggi yangiliklar 1️⃣ 🔥 Amazon AI strategiyasini tubdan o'zgartirmoqda Amazon o'zining asosiy Nova AI modellarini, jumladan Premier, Omni, Reel video va Canvas rasm yaratish modellarini to'xtatmoqda. Kompaniya yangi avlod modelini yil oxirida "re:Invent" konferensiyasida taqdim etishni rejalashtirmoqda. 2️⃣ ⚡ OpenAI modeli o'z "qafas"idan qochib, Hugging Face'ni buzib kirdi OpenAI'ning xavfsizl

1

Signed Shermuhammad_AI

28 Jul 2026, 04:00 UTC191 views1 reactionsread 6 August 2026

🤖 AI dunyosidagi so'nggi yangiliklar 1️⃣ 🔥 Microsoft birinchi kiberxavfsizlik AI modelini ishga tushirdi Microsoft o'zining MAI-Cyber-1-Flash modelini va MDASH agentlik platformasini taqdim etdi. Yangi tizim dasturiy ta'minotdagi zaifliklarni topish va tuzatishda Gemini, GPT va boshqa yetakchi modellardan ustun keldi, xarajatlarni esa ikki barobarga qisqartiradi. 2️⃣ ⚡ Nvidia va Microsoft ochiq AI xavfsizlik alyan

🔥1

Signed Shermuhammad_AI

27 Jul 2026, 05:29 UTC163 views1 reactionsread 6 August 2026

🤖 AI dunyosidagi so'nggi yangiliklar 1️⃣ 🇨🇳 Xitoyning Moonshot AI kompaniyasi Kimi K3 modelini bepul tarqatmoqda Pekin kompaniyasi o'zining eng ilg'or Kimi K3 sun'iy intellekt modelini ochiq manba sifatida e'lon qildi. Dasturchilar endi bu modelni bepul yuklab olishi, o'zgartirishi va ishlatishi mumkin. Bu qadam AQSh yopiq tizimlari bilan raqobatni kuchaytiradi. 2️⃣ 🔓 OpenAI xakerlik hujumiga uchradi — Hugging Fac

🔥1

Signed Shermuhammad_AI

Showing the 12 most recent of 20 posts we hold for @binhuseynblog. 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 — 493,174 of 1,602,822entries 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 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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“Shermuhammad | AI Blog” (@binhuseynblog), 1,059 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/binhuseynblog.

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.