Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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 the other topics.
Growth
23 measurements spanning 87 days, net +1,833. 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 6,482–9,284 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
3 Nov 2026, 01:19
8,753
-27
31 Oct 2026, 12:05
8,780
-14
28 Oct 2026, 14:39
8,794
-16
25 Oct 2026, 10:05
8,810
-34
22 Oct 2026, 08:50
8,844
-41
18 Oct 2026, 18:19
8,885
-42
15 Oct 2026, 09:16
8,927
-34
12 Oct 2026, 09:56
8,961
+20
5 Oct 2026, 17:38
8,941
+2,136
28 Sept 2026, 11:59
6,805
-14
15 Sept 2026, 15:58
6,819
-22
12 Sept 2026, 09:15
6,841
-4
8 Sept 2026, 06:39
6,845
-22
2 Sept 2026, 15:07
6,867
-10
30 Aug 2026, 20:55
6,877
+10
28 Aug 2026, 07:05
6,867
+21
25 Aug 2026, 04:03
6,846
-20
21 Aug 2026, 12:25
6,866
-14
14 Aug 2026, 23:35
6,880
-27
11 Aug 2026, 11:52
6,907
first reading
Engagement
58 posts held, back to 25 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 15 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.65%
avg views ÷ 8,753 subscribers
Avg views / post
757
21 posts measured
Reaction rate
0.961%
reactions ÷ views · ER floor
Posts in window
21
of 58 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 19 of 21 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 4 November 2026
Posts held
58 (25 July 2026 – 4 November 2026)
Views total
15,903
Reactions total
136
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 21:57 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.
What this channel posts
Photos
183
Videos
36
Links
172
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
2m 27s
Average length
2m 27s
Measured directly from 1 video 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
467 reactions across 56 posts, in 6 distinct kinds. The most used accounts for 49.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
232
49.7%
👍
170
36.4%
🔥
48
10.3%
🤣
14
3.00%
🆒
2
0.428%
👏
1
0.214%
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 56 of the 58 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 467 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 25 July 2026 to 4 November 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
Telegram’s own ‘edited’ marker: 3 of 21 posts held from the last 30 days (14.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🟣 پروتکل MCP چیست و چرا دنیای هوش مصنوعی را تکان داده؟
🟪 استاندارد MCP (مخفف Model Context Protocol) در واقع حکم همان پورت «USB-C» را برای مدلهای هوش مصنوعی دارد.
💜 تا قبل از آمدن این پروتکل، اگر میخواستید مدلی مثل کلود یا چتجیپیتی به دیتابیس، گیتهاب، فایلهای لوکال یا ابزارهای دیگر متصل شود، باید برای هر کدام یک کد و افزونه جداگانه نوشته میشد؛ درست مثل دوران قدیم که هر برند موبایل یک کابل شارژ متفاوت داشت.
…
🟣 بررسی آماری جدید وبسایت ZDNET نشان میدهد که با وجود رشد چشمگیر ابزارهای برنامهنویسی مبتنی بر هوش مصنوعی، تقاضای واقعی در بازار کار برای زبانهای کلیدی همچنان با قدرت ادامه دارد.
🟪 در این گزارش که از ترکیب دادههای مراجع معتبری مثل گیتهاب، استک اورفلو، Tiobe و فرصتهای شغلی تهیه شده، پایتون (Python) به عنوان پیشتاز بلامنازع حوزه دیتا، یادگیری ماشین و اسکریپتنویسی در رتبه اول محبوبیت قرار گرفته است.
💜 بعد از پ…
جلسه ششم آپلود شد
یکی از مهم ترین و نایاب ترین آموزشها درمورد نامپای فرق بین view و copy از ۹۹ درصد افراد بپرسی تا به مشکلش نخورن نمیدونن چیه.
پیشنهاد میکنم حتما این قسمت ببینید
نوت بوک جلسه ششم
ویدئو جلسه ششم
〰️〰️〰️〰️〰️〰️
@AiVizheh
@amir1avizhe
🟣اگر برای مدیریت کارهای روزمره، پروژهها و عادتهای خود دنبال یک ابزار سریع، فارسی و بدون نیاز به ثبتنام هستید، وباپلیکیشن «زماننگار» را طراحی کردم تا مستقیم روی گوشی یا کامپیوتر برنامههایتان را مدیریت کنید.
🟣ویژگیهای کلیدی
تقویم چندساله شمسی: برنامهریزی روزانه و هفتگی با ذخیرهسازی دائمی تاریخچه کارها از سال ۱۴۰۲ تا ۱۴۱۰.
بانک تسک هوشمند: کشیدن و رها کردن (Drag & Drop) کارهای پرتکرار در روزهای هفته و تغییر …
یک اپ برنامه روزانه تحت وب برای خودم زدم کلی قابلیت داره
بفرستم شماهم استفاده کنید؟
قابلیتش خیلی خفن نمودارهای ساعت کار داره
🟣هیت مپ شبیه گیت هاب داره
🟣دسته بندی کارارو داره مثلا روتین روزانه و یادگیری و خودسازی و ...
🟣تایمینگ داره مثلا ۳ ساعت یادگیری برنامه نویسی و ...
🟣گزارش کار هفتگی و ماهانه داره
🟣قابلیت پشتیبان گیری هم داره
دوست داشتید قلب بزارید ❤️💜 براتون بزارم💜
➿➿➿➿➿➿
@amir1avizhe
🟣 دانشمندان شرکت Cortical Labs یک سگ رباتیک ساختهاند که مستقیماً توسط سلولهای زنده مغز هدایت میشود.
🟪 در این فناوری، دستهای از نورونها روی یک تراشه الکترونیکی رشد داده شدهاند و با ارسال پالسهای عصبی دوطرفه، ربات را به سمت هدف مشخصشده روی نقشه حرکت میدهند.
💜 سیستمهای بیولوژیکی در مقایسه با سختافزارهای معمول هوش مصنوعی، مصرف انرژی به شدت پایینتری دارند و در محیطهای غیرقابل پیشبینی خیلی سریعتر سازگار می…
🟣نمیدونم چرا هیچکس درموردش صحبت نمیکنه
روزانه تعداد زیادی توکن رایگان میده و فیلترم نیست👌
🟣 شرکت Z.ai از ابزار توسعه جدیدی به اسم ZCode رونمایی کرده که به عنوان بستر رسمی و اختصاصی مدل پرچمدار GLM-5.3 معرفی شده.
🟪 این پلتفرم در واقع یک محیط توسعه ایجنتمحور (ADE) برای برنامهنویسی مدرن و وایبکدینگ روی پروژههای سنگین و طولانیمدته.
💜 یکی از ویژگیهای کاربردی این محیط، مدیریت تسکها بر اساس هدفگذاری (Goals) هست؛…
🟣 راهنمای انتخاب بهترین مدلهای زبانی محلی (Local LLMs) بر اساس نوع کار و تسک!
🟪 اجرای آفلاین مدلها روی سیستم خودتون این مزیت بزرگ رو داره که هیچ دیتایی از سیستم خارج نمیشه و حریم خصوصی کاملاً حفظ میشه.
💜 برای سیستمهای ضعیف و سختافزار محدود: مدل Phi-4-mini با حجم کم (حدود ۲.۵ گیگابایت رم گرافیکی) و استدلال عالی برای سوال و جواب عمومی و خروجیهای ساختاریافته.
🟪 برای نویسندگی و دستگاههای همراه: مدلهای Gemma 4…
🟣 گوگل ساعاتی پیش از قدرتمندترین پرچمدار جدیدش با نام Gemini 4 Carbon رونمایی کرد و دوباره به رتبه اول هوش مصنوعی جهان برگشت.
🟪 این مدل که درست دو هفته بعد از معرفی نسخه Argon معرفی شده، تونسته رتبه یک بنچمارک هوش مصنوعی Artificial Analysis (نسخه ۵.۰) رو تصاحب کنه و رقبایی مثل کلود و اوپنایآی رو پشت سر بذاره.
💜 تمرکز اصلی کربن روی حل پروژههای مهندسی بسیار سنگین و چندروزه است؛ به طوری که میتونه بدون گمراه شدن، ر…
🔥4
Showing the 12 most recent of 58 posts we hold for @Amir1avizhe. 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.
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
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.
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“Amir Avizhe | آموزش هوش مصنوعی و دیتا | اخبار هوشمصنوعی” (@Amir1avizhe), 8,753 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/Amir1avizhe.
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.