Yuqoridagi bitta postning o‘zida 30 dan ortiq AI termini ishlatilgan ekan . O’zi postlar tushunarli bo’lyaptimi ? Eng tushunarsiz terminni kommentda yozing. Keyingi safar shuni 3-4 ta termini tushuntirib berishim mumkin.
🔥1

Channel
@adizbek_ergashev
On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
694subscribers
+94 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001151592763 |
|---|---|
| Type | Channel |
| Username | @adizbek_ergashev |
| Created | Between 1 December 2018 and 31 August 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 11 September 2026 |
| On Telegram | t.me/adizbek_ergashev |
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 20 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 23:36 | 694 | +14 |
| 27 Aug 2026, 03:54 | 680 | +70 |
| 13 Aug 2026, 17:56 | 610 | +10 |
| 7 Aug 2026, 10:15 | 600 | no change |
| 7 Aug 2026, 00:32 | 600 | first reading |
18 posts held, back to 21 June 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 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 18 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
125 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 41.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 52 | 41.6% | |
| ❤ | 36 | 28.8% | |
| 🔥 | 27 | 21.6% | |
| 🫡 | 4 | 3.20% | |
| 👌 | 2 | 1.60% | |
| 🍾 | 1 | 0.8% | |
| 👨💻 | 1 | 0.8% | |
| 😨 | 1 | 0.8% | |
| 🤡 | 1 | 0.8% |
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 18 of the 18 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 125 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 21 June 2026 to 4 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @adizbek_ergashev. 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 18 most recent posts we hold for this entry, published 21 June 2026 to 4 August 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.
Yuqoridagi bitta postning o‘zida 30 dan ortiq AI termini ishlatilgan ekan . O’zi postlar tushunarli bo’lyaptimi ? Eng tushunarsiz terminni kommentda yozing. Keyingi safar shuni 3-4 ta termini tushuntirib berishim mumkin.
🔥1
📱 Telefoningiz ichida ishlaydigan haqiqiy AI agent chiqdi Liquid AI yangi LFM2.5 2.6B modelini taqdim etdi. Bu oddiy chatbot emas. Model vazifani rejalashtira oladi, kerakli vositalarni chaqiradi va bir necha bosqichli ishlarni to‘liq telefon yoki kompyuterning o‘zida bajaradi. Ma’lumotlaringiz qurilmangizdan chiqmaydi va har bir token uchun pul to‘lamaysiz. Model atigi 2.6 milliard parametrga ega, ammo: telefon…
🔥4
Internetsiz va bepul ishlaydigan shaxsiy AI agentingiz bo‘lsa, unga qaysi ishni topshirardingiz? Telefon va personal kompyuterlarda lokal ishlaydigan AI modellar tobora ko‘paymoqda. Bunda barcha ma’lumotlar bulutga yuborilmaydi, model bevosita o‘z qurilmangizda ishlaydi. Albatta, bunday modellar ChatGPT yoki Claude darajasida kuchli bo‘lmasligi mumkin. Lekin ular doim yoningizda, tezkor va eng muhimi, shaxsiy ma’lu…
👍2🔥2❤1
Navbatdagi xitoylik “Claude” Alibaba rasmiy ravishda Qwen 3.8 Max modelini taqdim etdi. Bu safar raqamlar ham jiddiy: • 2.4 trillion parametr • Har so‘rovda faqat 95 milliard aktiv parametr ishlaydi (MoE) • 1 million token kontekst • Matn, rasm, video va hujjatlar bilan ishlay oladi. Qwen jamoasi modelni reasoning, coding, agent va multimodal vazifalarda eng kuchli modellardan biri deb ta’kidlamoqda. Xitoy labora…
👍8🔥3❤2👨💻1
DeepSeek yana narx va sifat nisbatini “buzib” tashladi DeepSeek V4 Flash yangilandi va ayrim agent hamda dasturlash testlarida Claude Opus 4.8 darajasiga yaqinlashdi. Modelning rasmiy API versiyasi public beta holatida ishga tushdi. Agentlik imkoniyatlari oldingi V4 Pro Preview bilan solishtirganda keskin yaxshilangan DeepSWE natijasi Opus 4.8 ko‘rsatkichiga yaqin, Terminal Bench’da esa model frontier darajadagi n…
❤6🔥3🫡2
🚀 Ilon Mask Grok 4.6 modeli bir haftadan keyin chiqishini ma'lum qildi. Modelning relizi 7-avgustga rejalashtirilgan. Aytilishicha, Grok 4.6 taxminan 1.5 trillion parametrga ega bo'ladi. Bundan bir necha hafta o'tib esa undan ham kattaroq Grok 4.7 chiqarilishi kutilmoqda. U 2.1 trillion parametrga ega bo'lishi aytilmoqda. Shu bilan bir vaqtda yana bir qiziq mish-mish ham tarqaldi. Tez orada Composer 3 dasturlash mo…
👍8🔥3
AI va boshqa murakkab vazifalar uchun moslashgan kuchli kompyuterim sotiladi. ⚙️ Konfiguratsiya: • Intel Core Ultra 9 285K *(P-core: 5.7 GHz, E-core: 4.6 GHz)* • RTX 3090 24 GB • Gigabyte Z890 AORUS ELITE WiFi 7 • 128 GB DDR5-6000 *(XMP)* • Samsung 990 Pro 4 TB • DeepCool 1200W PSU • DeepCool Assassin IV 💰 Narxi: • GPUsiz — $2600 • RTX 3090 bilan — $3400 Kompyuter to'liq ishchi holatda. AI inference/trening, video…
👍8
Kuchli OpenWeight modellarni chiqish faqat yaxshi emas, endi bemalol Claude Fable/Mythos ga teng keladigan modellarni yomon yo’llarda ham ishlatish mumkin va uni nazorat qilish imkonsiz. Aksariyat katta loyihalarda open source yechimlar ishlatilinadi va ularni kodi hamma uchun ochiq. Hakerlar endilikda AI bilan yangi muammolarni tezkor topib tizimlarga hujum qilinishi mumkin. Misol uchun yuqoridagi holat. @adizbek…
👍1🫡1😨1
🔥 Kimi K3 endi zaifliklarni odamdan tezroq topishni boshladi. 32 ta AI agentdan iborat tizim atigi 27 daqiqada Redis'da autentifikatsiyadan keyin serverda ixtiyoriy kodni ishga tushirishga (RCE) olib keluvchi zaiflikni topib, unga ishlaydigan eksploit ham tayyorlagan. Agar bu natijalar mustaqil ravishda tasdiqlansa, kiberxavfsizlik yangi bosqichga o'tmoqda. Ilgari kunlar yoki haftalar talab qilgan zaifliklarni endi…
👍1🫡1
🚀 AMD yana server protsessorlari bozorida plankani ko’tardi. Kompaniya yangi EPYC Venice protsessorini taqdim etdi. Eng kuchli konfiguratsiyasi: 🔹 256 ta Zen 6c yadro (512 oqim) 🔹 TSMC’ning 2 nm texnologik jarayonida ishlab chiqarilgan 🔹 PCIe 6.0 va 16 kanalli DDR5 xotira qo’llab-quvvatlashi 🚀 🔹 Oldingi avlodga nisbatan taxminan 70% gacha yuqori unumdorlik va samaradorlik da’vo qilinmoqda. Bu oddiy desktop protses…
👍5
Endi Hugging Face qanday buzilgani aniq bo‘ldi. Bu hechqanday rejalashtirilgan hujum emas, balki modelni sinash payti, sinov testlarini aylanib o’tish uchun sinov muhitiga (Huggingface) hujum qilib uni buzib javoblarni olishga uringa. OpenAI e'lon qilgan hisobotga ko‘ra, GPT-5.6 Sol va yana bir e'lon qilinmagan model kiberxavfsizlik bo‘yicha ichki test davomida sandbox'dan chiqishga muvaffaq bo‘lgan. Model zaiflikn…
👍6❤2
Hugging Face’ga avtonom AI agent hujum qildi. Eng qiziq tomoni, hodisani tekshirishda yopiq AI modellaridan foydalanib bo‘lmadi. Safety filtrlari exploit va zararli kodlarni tahlil qilishga ruxsat bermadi, chunki model xavfsizlik mutaxassisi bilan hujumchini ajrata olmadi. Natijada Hugging Face o‘z serverida ishlaydigan GLM 5.2 open-weight modelidan foydalandi. Shu orqali zararli kodni cheklovlarsiz tahlil qilish v…
❤7🔥3🤡1
Showing the 12 most recent of 18 posts we hold for @adizbek_ergashev. 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“Adizbek Ergashev's blog” (@adizbek_ergashev), 694 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/adizbek_ergashev.
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.