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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Growth
34 measurements spanning 43 days, net +674. 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 10,639–11,515 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 22:41
11,414
+97
16 Sept 2026, 11:20
11,317
+32
14 Sept 2026, 19:15
11,285
+31
13 Sept 2026, 05:16
11,254
+254
11 Sept 2026, 04:35
11,000
+16
8 Sept 2026, 08:01
10,984
+13
5 Sept 2026, 00:19
10,971
+5
3 Sept 2026, 09:36
10,966
+7
2 Sept 2026, 06:04
10,959
-5
1 Sept 2026, 03:37
10,964
+7
31 Aug 2026, 04:08
10,957
-7
30 Aug 2026, 02:55
10,964
+10
29 Aug 2026, 03:46
10,954
+5
28 Aug 2026, 06:03
10,949
+12
27 Aug 2026, 06:19
10,937
-2
26 Aug 2026, 08:07
10,939
-3
25 Aug 2026, 05:48
10,942
+1
24 Aug 2026, 07:38
10,941
-6
22 Aug 2026, 13:43
10,947
-1
21 Aug 2026, 02:37
10,948
first reading
Engagement
161 posts held, back to 3 August 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.4%
avg views ÷ 11,414 subscribers
Avg views / post
1,190
48 posts measured
Reaction rate
1.40%
reactions ÷ views · ER floor
Posts in window
48
of 161 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
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
161 (3 August 2026 – 2 September 2026)
Views total
57,244
Reactions total
800
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 02:32 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.
What this channel posts
Video runtime
45m 02s
Average length
54s
Measured directly from 50 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
2,633 reactions across 159 posts, in 26 distinct kinds. The most used accounts for 39.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,026
39.0%
🔥
565
21.5%
👍
480
18.2%
😁
125
4.75%
🥰
106
4.03%
👏
69
2.62%
🤬
53
2.01%
👀
40
1.52%
😍
23
0.874%
😢
19
0.722%
😨
18
0.684%
😐
16
0.608%
😱
13
0.494%
🙏
13
0.494%
😭
11
0.418%
🤨
9
0.342%
👌
8
0.304%
💯
8
0.304%
❤🔥
6
0.228%
🤔
6
0.228%
6 further kinds
19
0.722%
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 160 of the 161 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 2,633 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 161 most recent posts we hold, published 3 August 2026 to 2 September 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.
🤖مدل بعدی اوپنایآی یعنی استرا رسماً یه قدم دیگه به عرضه نزدیکتر شد؛ این بار با اسم GPT-6-Astra درست وسط اسلاگهای سیستم دیده شده.
اسلاگ (Slug) خیلی ساده همون اسم شناسهایه که سیستمها برای صدا زدن یه سرویس یا مدل ازش استفاده میکنن. وقتی سر و کله این اسم توی اسلاگهای API پیدا میشه، یعنی همهچیز توی پشتصحنه چیده شده و اوپنایآی داره مقدمات فنی دسترسی بهش رو آماده میکنه.
جالبتر اینکه فعلاً این ردپا توی بخش م…
🤖گوگل رسماً قاعده بازی رو به هم ریخت!
مدل جدید Gemini 3.8 Flash از راه رسیده و بر اساس دادههای بنچمارک، عملاً با سنگینوزنترین و گرانترین غولهای بازار مثل Claude Opus 5 و GPT-5.6 Sol شاخبهشاخ شده؛ اونم با قیمتی که رقبا رو مات و مبهوت کرده.
شاهکار کدنویسی و تخصص؛ فراتر از یک مدل فلش.
توی مهندسی نرمافزار پیشرفته DeepSWE v1.1، این مدل امتیاز دیوانهوار ۷۳.۷ درصد رو ثبت کرده که تقریباً مماس با Claude Opus 5 با ۷…
شرکت World Labs از Atlas رونمایی کرده؛ مدلی که میخواد کاری فراتر از دیدن عکس و ویدیو انجام بده. ایده اینه که مدل واقعاً بفهمه یک محیط در فضای سهبعدی چه شکلیه، دوربین کجاست، اشیا کجا قرار دارن و حتی پشت چیزهایی که نمیبینه چه خبر میتونه باشه.
مدل Atlas از ابتدا با متن، تصویر، ویدیو و دادههای سهبعدی آموزش دیده و همه این اطلاعات رو در یک فضای مشترک کنار هم قرار میده. به همین دلیل، مدل فقط دنبال این نیست که بگه ای…
🤖شرکت Anthropic دو مدل Claude Fable 5.1 و Mythos 5.1 رو معرفی کرده؛ مدلهایی که به گفته این شرکت، پیشرفتهترین مدلهاش برای برنامهنویسی، پژوهش و کارهای دانشی هستن. بین این دو، Fable 5.1 بیشتر از همه به چشم میاد و عملکردش نسبت به نسل قبلی رشد قابلتوجهی داشته.
در بنچمارک Terminal-Bench 4.0، مدل Fable 5.1 به امتیاز ۵۵.۸ درصد رسیده، در حالی که Fable 5 امتیاز ۴۲ درصد رو به دست آورده بود. در آزمون Terminal-Bench-Scienc…
گوگل یه ابزار جدید برای ساخت و ویرایش تصویر معرفی کرده به اسم Google Pics؛ ابزاری که با تکیه بر مدل تصویرسازی Nano Banana ساخته شده و تمرکزش بیشتر روی ویرایش دقیق و کنترلشده تصویره.
ماجرا از این قراره که Google Pics فقط یه ابزار دیگه برای تولید تصویر از روی پرامپت نیست. میتونی یه تصویر بسازی، بعد روی هر بخشش که خواستی کلیک کنی و فقط همون قسمت رو تغییر بدی. مثلاً یه صندلی رو انتخاب کنی و بگی قرمزش کن، یا یه گربه رو…
🔍گوگل میخواد نگاه مدلهای جمینای به ویدئو رو از نو تعریف کنه. تا قبل از این، تحلیل ویدئو بیشتر شبیه ورقزدن سریع یه آلبوم بود؛ مدل هر ثانیه فقط یه فریم میدید و براساس همون نتیجه میگرفت. اما قابلیت جدید Agentic Video Understanding این روند رو تغییر میده.
حالا جمینای میتونه با توجه به سؤال کاربر، خودش بره سراغ لحظههای مهم، بخشهای مرتبط رو دقیقتر بررسی کنه و تصویر، صدا و متن رونوشت ویدئو رو کنار هم بذاره تا از …
🤖خبر خوب اینکه بالاخره قابلیت Short Video Overviews جمینای نوت بوک حالا از بیش از ۷۰ زبان پشتیبانی میکنه و زبان فارسی هم اضافه شده. یعنی میتونی محتوای منابعت رو به ویدیوهای حدود ۶۰ ثانیهای تبدیل کنی، بدون اینکه لازم باشه همه جزئیات رو خودت از اول مرور کنی.
حالا دیگه لازم نیست برای فهمیدن یه گزارش یا منبع طولانی، بشینی همهش رو بخونی. گوگل یه راه سریعتر جلوت گذاشته؛ منابع رو میگیره و توی حدود یک دقیقه، به شکل ی…
✈️تلگرام با معرفی قابلیت Serverless داره ساخت رباتها و مینیاپها رو سادهتر میکنه. با این قابلیت، توسعهدهندهها میتونن بدون راهاندازی و نگهداری سرور جداگانه، کد ربات، پایگاهداده و ارتباط با سرویسهای مختلف رو روی زیرساخت خود تلگرام اجرا کنن.
توی این روش، کد ربات با جاوااسکریپت اجرا میشه و هر ربات هم یه پایگاهداده اختصاصی داره که اطلاعاتش بین اجراهای مختلف حفظ میشه. توسعهدهنده میتونه اطلاعات کاربرها رو ذ…
🤖اپلیکیشن کلود در نسخه iOS حالا کنار گزینه بیشترین میزان تلاش (Max effort) یک هشدار مشخص نشون میده. این هشدار میگه استفاده از این حالت، ۱.۵ برابر بیشتر از مصرف معمول سهمیه استفادهتون رو کم میکنه.
یعنی اگه حالت Max رو انتخاب کنید، هر بار استفاده از اون معادل ۱.۵ برابر مصرف عادی حساب میشه.
✈️@mohammad_zammani
📱Mohammad.zammani.offical
ایلان ماسک درباره آینده اقتصاد آمریکا حرفی زده که در نگاه اول شاید بیشتر شبیه یک هشدار آخرالزمانی به نظر بیاد تا یک تحلیل اقتصادی: آمریکا بدون هوش مصنوعی و رباتیک، هزار درصد ورشکست میشه و بهعنوان یک کشور شکست میخوره.
اما پشت این جمله، یک مسئله خیلی ساده و در عین حال بزرگ قرار داره. آمریکا همین حالا هر سال بیشتر از یک تریلیون دلار فقط بابت سود بدهی ملیش پرداخت میکنه. یعنی بخش عظیمی از پولی که میتونه صرف رشد اقتص…
تصور کن حدود ۵۲ میلیون نفر در یک کشور، از این به بعد بتونن برای کارهای روزمرهشون رایگان از هوش مصنوعی کمک بگیرن. کره جنوبی دقیقاً داره روی همین ایده کار میکنه. دولت میخواد دسترسی به هوش مصنوعی رو برای همه مردم کشور فراهم کنه.
این طرح که هوش مصنوعی برای همه (AI for All) نام داره، از سپتامبر ۲۰۲۶ وارد مرحله آزمایشی میشه و قرار شده تا پایان سال ۲۰۲۶ به شکل گسترده در اختیار مردم قرار بگیره. برای اجرای این پروژه، سه …
❤9👍8🔥3🤬2
Showing the 12 most recent of 161 posts we hold for @Mohammad_zammani. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 108%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
از این نوع محتوای بلاگ پست گونه خوشتون میاد بیشتر بذاریم توکانال؟
بله73%
خیر27%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 161 most recent posts we hold, published 3 August 2026 to 2 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 9 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@Mohammad_zammani named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@canva named in 1 post, 8 August 2026 – 8 August 2026
Appears in Telegram’s recommendations for other channels
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.
NovinHub | نوین هاب @novinhub · 52,631 Telegram ranks this channel #6 of 86 here — alongside 85 others — read 23 August 2026
Mazdafar.Momeni @Mazdafar · 43,180 Telegram ranks this channel #13 of 67 here — alongside 66 others — read 28 August 2026
مجله | خلاقیت، بدون مرز @AR_NOSRATI · 49,159 Telegram ranks this channel #16 of 90 here — alongside 89 others — read 26 August 2026
Mehrsasharoleslam @mehrsasharoleslam · 36,477 Telegram ranks this channel #17 of 92 here — alongside 91 others — read 1 September 2026
هوش مصنوعی در پژوهش @AI_in_Research · 286,054 Telegram ranks this channel #19 of 92 here — alongside 91 others — read 19 August 2026
بیشتر از یک نفر | پیام بهرام پور @bishtarazyek · 45,772 Telegram ranks this channel #22 of 81 here — alongside 80 others — read 28 August 2026
ایدههای جدید و خلاقانه محتوا - محمد مهدی میرزایی @contentideass · 30,805 Telegram ranks this channel #25 of 79 here — alongside 78 others — read 6 September 2026
AvalAI | هوش مصنوعی @aval_ai · 25,609 Telegram ranks this channel #27 of 92 here — alongside 91 others — read 13 September 2026
دکتر شیری @drshiri · 98,287 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 16 August 2026
هوش مصنوعی [ AI ] @iFutureAI · 43,413 Telegram ranks this channel #30 of 89 here — alongside 88 others — read 28 August 2026
Directam | دایرکتم @directam_ir · 55,782 Telegram ranks this channel #32 of 79 here — alongside 78 others — read 25 August 2026
موزیک_تکست عاشقانه @masoud_musiic · 162,000 Telegram ranks this channel #33 of 63 here — alongside 62 others — read 17 August 2026
عصر گویش | هوش مصنوعی @asrgooyeshpardaz · 100,413 Telegram ranks this channel #34 of 89 here — alongside 88 others — read 24 August 2026
درآمد از تخصص | محمدرضا شایگان | به شیوه شزوما @shezooma_1 · 22,669 Telegram ranks this channel #36 of 79 here — alongside 78 others — read 20 September 2026
💢 تفکرات پیمان @tafakkoratpeyman · 26,342 Telegram ranks this channel #45 of 89 here — alongside 88 others — read 12 September 2026
انجمن مدیران @managersclub · 167,504 Telegram ranks this channel #48 of 86 here — alongside 85 others — read 15 August 2026
هنر فیلمنامه، کارگردان مولف @honarefilmnameh · 25,908 Telegram ranks this channel #56 of 81 here — alongside 80 others — read 14 September 2026
دانشگاه بازاریابی @iranmarketinguniversity · 94,287 Telegram ranks this channel #63 of 90 here — alongside 89 others — read 15 August 2026
مدیر وب - آموزش بیزینس آنلاین @modireweb · 28,471 Telegram ranks this channel #65 of 88 here — alongside 87 others — read 11 September 2026
مدیران ایران | آموزش مدیریت کسب وکار |modiriran 🕊 @modiriran · 34,367 Telegram ranks this channel #72 of 94 here — alongside 93 others — read 2 September 2026
This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“هوش مصنوعی | محمد زمانی” (@Mohammad_zammani), 11,414 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Mohammad_zammani.
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.