4 measurements spanning 7 days, net +6. 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 3,884–3,895 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 09:45
3,894
+9
11 Aug 2026, 15:03
3,885
-1
8 Aug 2026, 16:06
3,886
-2
8 Aug 2026, 06:34
3,888
first reading
Engagement
17 posts held, back to 27 March 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 12 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 24s
Average length
36s
Measured directly from 4 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
202 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 54.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
109
54.0%
🔥
79
39.1%
🤯
8
3.96%
🤣
6
2.97%
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 17 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 202reactions 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 27 March 2026 to 12 June 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
31
across the posts below
Posts paid on
17
of 17 we hold a reading for · 100%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Suniy_Intellekt_olami. 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 17 most recent posts we hold for this entry, published 27 March 2026 to 12 June 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.
Codex kompyuterdagi ishlarni o‘zi bajarishi mumkin
Fayllarni tartiblash, Excel jadvalini yangilash, saytlarni tekshirish yoki takrorlanuvchi vazifalar...
Qanday qilib:
1. OpenAI Codex'ni oching (yuklab oling)
2. Plugins bo‘limiga kiring, Computer Use funksiyasini yoqing
3. Yangi vazifa (New Task) yarating
4. Permissions bo‘limida "Full Access" ni tanlang
5. Vazifangizni yozing
Masalan:
Shu papkadagi fayllarni ta…
🚀 Anthropic eng kuchli AI modelini taqdim etdi
Anthropic yangi Claude Fable 5 modelini ishga tushirdi. Kompaniyaga ko‘ra, bu hozirgacha chiqarilgan eng kuchli Claude modeli
Nimalar o‘zgardi?
• Murakkab fikrlash va tahlilda sezilarli yaxshilanish
• Dasturlash vazifalarida kuchliroq natijalar
• Bilim va ish jarayonlariga oid topshiriqlarda yuqori aniqlik
• Xavfli yo‘nalishlarda qo‘shimcha cheklovlar
Har bir yangi m…
👟 Haftaning eng qiziq roboti
Tasavvur qiling, piyoda yurayapsiz, lekin tezligingiz yugurayotgandek
Moonwalkers Aero — oyoq kiyimingizga taqiladigan aqlli robot oyoq kiyim. U yurish tezligingizni sezadi va harakatni avtomatik ravishda tezlashtiradi
Natijada:
• Uzoq masofalar kamroq charchatadi
• Shaharda tezroq harakatlanasiz
• Lift, metro yoki ofis yo‘laklarida vaqt tejaysiz
Eng qiziq tomoni, bu skuter emas, ve…
Perplexity bilan kuchli biznes g‘oyasini toping
Perplexity oddiy Google emas. U sun’iy intellekt bilan internetni chuqur izlab, sizga tayyor va real biznes g‘oyalarni beradi
Qanday qilib:
1. Perplexity.ai saytiga yoki ilovasiga kiring, hisob oching
2. Biznes g'oya topib berishini so'rang
masalan:
O‘zbekistonda 2026-yilda boshlash mumkin bo‘lgan, kam xarajat bilan ishlaydigan va yaxshi daromad keltiradigan 7 ta y…
⚡️BYD robotlarni mashina sotgandek sotmoqchi
BYD endi faqat elektromobil emas, odamsimon robotlar ham ishlab chiqarmoqda
Kompaniya allaqachon o‘z zavodlarida 150 ga yaqin robotni sinovdan o‘tkazyapti. Hozircha ular ehtiyot qismlar tashish va ishlab chiqarish jarayonlarida ishlatilmoqda.
Bir necha yil oldin odamlar:
• Sun'iy intellekt kundalik hayotga kirib kelishiga ishonmasdi
• Gumanoid robotlarni faqat filmlard…
🚨 2.9 million dollarlik uyga pul emas, AI kompaniya aksiyasi berilsa-chi?
San-Fransiskodagi bir uy egasi OpenAI yoki Anthropic aksiyasini to‘lov sifatida olishga rozi ekan
Bu shuni ko‘rsatadi: AI endi faqat texnologiya emas, odamlar uni boylik sifatida ham ko‘ra boshladi
Oldin:
• ChatGPT kabi ilovalar endi-endi chiqayotgan edi
• OpenAI va Anthropicni hamma ham bilmasdi
Hozir:
• AI kompaniyalari juda katta baholan…
⚡️Kod yozmasdan ilova, sayt yasash
Google AI Studio bilan sayt yoki ilova qilishingiz mumkin
Qanday qilib:
1. Google AI Studio'ga kirasiz
2. "Build" bo'limni tanlab g‘oyangizni yozasiz
masalan: Kunlik suv ichishni hisoblab beradigan app qil
3. "Build" bosasiz, kod yozishni boshlaydi
4. Tayyor bo'lgach ulashish uchun "Deploy" qilib linkini olasiz
G‘oya bo'lsa → app qilish oson: aistudio.google.com
🤖 AI & Tech |…
2026-yil eng aqlli AI modellari reytingi (IQ bo‘yicha)
Mensa IQ testiga ko‘ra, eng aqlli modellar reytingi
Top 3:
1. Grok-4.20 Expert Mode -145
2. GPT-5.4 Pro (Vision) -145
3. Gemini 3.1 Pro Preview - 141
Muhim:
Bu reyting faqat IQ (mantiq + pattern) asosida. Koding, real ishlash, aniqlik hisobga olinmagan
ma'lumut uchun: o‘rtacha inson IQ darajasi: 100
2025-yildgi reytingini ko'rish
🤖 AI & Tech | AI Ilovalar …
🚀 GPT-5.5 chiqdi
OpenAI uzoq kutilgan GPT-5.5 modeilini chiqardi
Nimalar kuchaydi:
• Reasoning (mantiq) ancha yuqori darajada
• Mustaqil vazifa bajarishda kuchli
• Kod yozishda top natijalar
Ba’zi testlarda natijalar Anthropic modellari bilan tenglashgan
Ishlashi:
• Tezlik GPT-5.4 bilan bir xil
• Samaradorlik yaxshiroq
Qayerlarda ishlatish mumkin:
• ChatGPT pullik tariflarda (Go tarifda yo'q)
• Codex
Oxirgi …
AI sohasida Vakansiya
Lavozim: AI kurs yo‘nalishi rahbari
Biz Topai.uz AI kurs yo‘nalishini boshqarib boradigan mas’ul odam qidirmoqdamiz
Vazifalar:
AI kurs yo‘nalishini yo‘lga qo‘yish va boshqarish
Mutaxassislarni topish va jalb qilish
Kurs tayyorlash jarayonini nazorat qilish
Kurslarni rivojlantirish va yaxshilash
Talablar:
AI haqida yaxshi tushuncha
Ta’lim yoki kurslar bilan tajriba
Ish formati:
Part-time
…
⚡️ChatGPT yoki Nano Banana 2
OpenAI kecha GPT Image 2 ni chiqardi, rasm qilishda eng kuchli modlega aylanib Nano Banana'dan o'tib ketdi
GPT Image 2 nimada zo‘r:
• Rasmdagi matn yozishda deyarli ideal (-99%)
• Maxsulot rasmlari realistik chiqadi
• Infografikalar juda tabiy
• Judayam realsitik
Nano Banana 2 kuchli tarafi:
• Yorug‘lik va texturalar tabiiyroq
• Tezda turli variantlar qilib beradi
GPT image 2 model…
🚀ChatGPT Images 2.0 chiqdi
Hozirgacha rasm qilishda eng aqlli AI model
Nimasi bilan kuchli:
• Murakkab vizual topshiriqlarni aniq bajaradi
• Tahrirlash (editing) ancha kuchli
• "Thinking-level" rasm yaratishda ham fikrlab ishlaydi
Yana bir plusi:
• Ingliz tilidan boshqa tillarda ham matnni to‘g‘ri yozadi
• Matn tabiiy va o‘qilishi oson chiqadi
Kimlar ishlata oladi:
• Barcha ChatGPT va Codex foydalanuvchilari
…
🔥4❤3
Showing the 12 most recent of 17 posts we hold for @Suniy_Intellekt_olami. 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.
Citation-graph rank
Citation-graph rank — 348,549 of 1,481,217entries 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 2 registered channels — 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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Sun'iy intellekt | ChatGPT” (@Suniy_Intellekt_olami), 3,894 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Suniy_Intellekt_olami.
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.