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Channel

VIRSUN

@rss_ai_ir

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Polls · Citations · Cite this entry

16,774subscribers

+10,657 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001820001134
TypeChannel
Username@rss_ai_ir
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/rss_ai_ir

Topic

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 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 the other topics.

Growth

6,11719,43812,777.516,7746 August 20266 November 2026
61 measurements spanning 92 days, net +10,657. 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 4,119–21,436 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
6 Nov 2026, 09:5916,774-203
5 Nov 2026, 12:4616,977-177
4 Nov 2026, 10:1617,154-246
3 Nov 2026, 08:0617,400-144
2 Nov 2026, 10:1817,544-202
1 Nov 2026, 07:0717,746-105
31 Oct 2026, 10:2817,851-46
30 Oct 2026, 13:4517,897-84
29 Oct 2026, 11:0617,981-78
28 Oct 2026, 07:4018,059-99
27 Oct 2026, 09:3918,158-69
26 Oct 2026, 07:0818,227-44
25 Oct 2026, 10:3418,271-20
24 Oct 2026, 14:0618,291-50
23 Oct 2026, 16:5918,341-76
22 Oct 2026, 15:3818,417-76
21 Oct 2026, 06:2018,493-46
20 Oct 2026, 05:1018,539-27
19 Oct 2026, 06:0018,566-14
18 Oct 2026, 05:1618,580first reading

Engagement

445 posts held, back to 5 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 48 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.48%
avg views ÷ 16,774 subscribers
Avg views / post
920
86 posts measured
Reaction rate
4.48%
reactions ÷ views · ER floor
Posts in window
86
of 445 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 November 2026
Posts held445 (5 August 2026 – 6 November 2026)
Views total79,123
Reactions total3,547
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 04:14 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
6h 24m
Average length
1m 53s

Measured directly from 205 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

9,102 reactions across 407 posts, in 27 distinct kinds. The most used accounts for 18.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,70918.8%
🔥1,47716.2%
👍1,43115.7%
👌1,27014.0%
🙏1,26213.9%
🕊4685.14%
🤩3654.01%
🤯3563.91%
👏3483.82%
🤔3273.59%
😁210.231%
🐳130.143%
😍100.11%
🤣100.11%
🥰60.066%
👎50.055%
🤬50.055%
❤‍🔥40.044%
😈30.033%
⚡20.022%
7 further kinds100.11%

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 427 of the 445 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 9,162 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 445 most recent posts we hold, published 5 August 2026 to 6 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.

Advertising

Ad load
0.225%
1 of 445 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
334
over 1 measured post
Median views · rest
358
over 443 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2W5zFJGdcuX111 August 202611 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 445 most recent posts we hold, published 5 August 2026 to 6 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 6 of 86 posts held from the last 30 days (6.98%) 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).

6 Nov 2026, 03:56 UTC≈1,020 views50 reactionsread 6 November 2026
Video

📷🤖 ساخت نقشه چهاربعدی اتاق با یک دوربین ۱۲ دلاری! توسعه‌دهنده پروژه OpenPetCam در نسخه جدید، قابلیت بازسازی فضای اتاق به‌صورت 4D (سه‌بعدی + زمان) را معرفی کرده است. 🔹 هوش مصنوعی: تخمین عمق تصاویر و ساخت مدل اولیه سه‌بعدی 🔹 اکوی صوتی: تخمین فاصله و اصلاح مقیاس مدل 🔹 مادون‌قرمز (IR): بررسی ویژگی‌های مواد و سطوح 🔹 سیگنال Wi-Fi: تشخیص حرکت در محیط 🧠 نکته جذاب این پروژه، ترکیب چند حسگر ارزان‌قیمت با هوش مصنوعی برای باز…

👌11❤10🕊7👍5👏5🙏5🔥2🤩2

6 Nov 2026, 03:53 UTC≈1,020 views50 reactionsread 6 November 2026
Photo

🧠📚 آشنایی با ۳۰ الگوریتم مهم هوش مصنوعی در یک تصویر! این اینفوگرافیک مجموعه‌ای از مهم‌ترین الگوریتم‌ها و معماری‌های یادگیری ماشین، یادگیری عمیق و یادگیری تقویتی را به زبان ساده معرفی می‌کند. 🔹 یادگیری نظارت‌شده: درخت تصمیم، Random Forest، SVM، KNN و XGBoost برای طبقه‌بندی و پیش‌بینی. 🔹 یادگیری بدون نظارت: الگوریتم‌های K-Means، DBSCAN و PCA برای خوشه‌بندی و کاهش ابعاد داده. 🔹 یادگیری تقویتی: روش‌های Q-Learning، SA…

👍12🙏12🕊7❤4🤔4👌3🔥3🤯3

6 Nov 2026, 03:52 UTC≈1,020 views50 reactionsread 6 November 2026
Video

🤖👨‍🍳 سرآشپزهای رباتیک؛ ورود اتوماسیون به آشپزخانه! ربات‌های آشپز کم‌کم وارد آشپزخانه‌های صنعتی و رستوران‌ها می‌شوند؛ سیستم‌هایی که می‌توانند کارهایی مثل آماده‌سازی مواد، پخت غذا، سرخ‌کردن و سرو را به‌صورت خودکار انجام دهند. 🍳 ترکیب رباتیک، هوش مصنوعی و بینایی ماشین می‌تواند سرعت آماده‌سازی غذا را افزایش دهد، کیفیت را یکنواخت‌تر کند و نیاز به انجام کارهای تکراری را کاهش دهد. 🚀 آینده آشپزخانه‌ها احتمالاً ترکیبی از خ…

👌15🕊12🔥8🙏6🤯5🤔3🤩1

6 Nov 2026, 03:50 UTC≈1,020 views50 reactionsread 6 November 2026
Video

🎬🤖 تبدیل ویدئو به انیمیشن سه‌بعدی قابل ویرایش با RGB MoCap ابزار RGB MoCap یک نرم‌افزار ویندوزی است که حرکات انسان را از ویدئو استخراج و به انیمیشن سه‌بعدی قابل ویرایش تبدیل می‌کند. ✨ قابلیت‌های مهم: - پشتیبانی از سه مدل ExMR، FlowHMR و GVHMR - اصلاح لغزش پا روی زمین و تماس دست‌ها با محیط - ویرایش دستی زمان تماس پا و دست در فریم‌های مختلف - خروجی FBX، BVH و VMD برای Blender، 3ds Max و MMD - پشتیبانی از ضبط چنددورب…

🕊16🤔9🤯5👍4👏4🔥3🤩3❤2

6 Nov 2026, 03:47 UTC≈1,010 views49 reactionsread 6 November 2026
Video

👷🤖 هوش مصنوعی در نقش ناظر خط مونتاژ! یک نمونه آزمایشی جالب از بینایی ماشین (Computer Vision) که مراحل مونتاژ موتور را به‌صورت لحظه‌ای بررسی می‌کند. 🔍 دوربین و مدل AI حضور قطعاتی مثل پیچ‌ها، چرخ‌دنده‌ها، بوش‌ها و واشر آب‌بندی را تشخیص می‌دهند و سیستم مشخص می‌کند کدام مرحله تکمیل شده و چه قطعه‌ای هنوز جا مانده است. ⚙️ نکته جذاب اینجاست که کنترل قطعات قبل از نصب درپوش نهایی انجام می‌شود؛ یعنی پیش از آنکه قطعات داخلی …

🤩14🕊11🙏7👏4🤔4🤯4❤3👌2

6 Nov 2026, 03:47 UTC659 views33 reactionsread 6 November 2026
Video

🎨🌀 ساخت تصاویر دوگانه و توهم بصری با ComfyUI! یک بسته سفارشی برای ComfyUI امکان ساخت تصاویر Visual Anagram را فراهم می‌کند؛ تصاویری که با چرخاندن یا برعکس‌کردن آن‌ها، صحنه‌ای کاملاً متفاوت دیده می‌شود! 🔄 این ابزار در هر مرحله تولید، تصویر را از دو زاویه پردازش کرده و پیش‌بینی‌ها را ترکیب می‌کند. از چرخش ۹۰ و ۱۸۰ درجه و قرینه‌سازی افقی و عمودی پشتیبانی می‌کند. ⚙️ تنظیمات پیشنهادی سازنده: - مدل Krea 2 Turbo یا Raw …

🤩9👍8🤔8🕊3👌2🤯2🔥1

6 Nov 2026, 03:45 UTC526 views27 reactionsread 6 November 2026
Video

🎨🤖محیط Tripo Agentic Canvas؛ ساخت مدل سه‌بعدی با کمک ایجنت هوش مصنوعی! شرکت Tripo قابلیت Agentic Canvas را معرفی کرده؛ یک محیط بصری در Tripo Studio که ایجنت هوش مصنوعی می‌تواند مراحل تولید مدل سه‌بعدی را از ایده تا خروجی نهایی برنامه‌ریزی و اجرا کند. 🔹 گردش‌کار هوشمند: اتصال مراحل طراحی و تولید در قالب یک گراف 🔹 ساخت کاراکتر: تولید شخصیت سه‌بعدی با ریگ‌بندی خودکار اسکلت، مناسب Unreal Engine 🔹 چاپ سه‌بعدی: بررسی هن…

👍5🕊5❤4🙏4🤯3👌2👏1🔥1

6 Nov 2026, 03:41 UTC772 views38 reactionsread 6 November 2026
Video

🤖🦅 وقتی طبیعت به مهندس رباتیک تبدیل می‌شود! شرکت آلمانی Festo سال‌هاست با پروژه‌های سری Bionic ربات‌هایی الهام‌گرفته از حیوانات می‌سازد؛ اما هدف فقط تقلید ظاهر آن‌ها نیست! 🦅 پرندگان رباتیک: با تقلید حرکت و پیچش بال پرندگان، اصول آیرودینامیکی پرواز کارآمد را بررسی می‌کنند. 🐜 مورچه‌های رباتیک: با استفاده از هوش ازدحامی (Swarm Intelligence)، همکاری چند ربات و تصمیم‌گیری غیرمتمرکز را آزمایش می‌کنند. 💡 نکته جالب اینکه…

👏14👍4🔥4🤯4🙏3❤2👌2🤔2

6 Nov 2026, 03:25 UTC≈1,020 views50 reactionsread 6 November 2026
Video

🤖🎬 ابزار ExMR؛ تبدیل یک ویدئوی معمولی به حرکت سه‌بعدی بدن! ابزار ExMR امکان استخراج حرکات بدن (Motion Capture) از تنها یک ویدئو را فراهم می‌کند؛ با تمرکز ویژه بر اصلاح حرکات دست‌ها، انگشتان و پاها. 🦾 ابتدا حرکت کل بدن تخمین زده می‌شود و سپس ماژول‌های تخصصی، چرخش مفاصل دست و پا را اصلاح می‌کنند تا خطاهای رایج در بازسازی حرکت کاهش یابد. 🎮 خروجی در قالب‌های BVH و FBX قابل استفاده در Blender، Unity و Unreal Engine است…

🕊13🤯8👌7🔥7❤6👏5👍2🤔1

6 Nov 2026, 03:21 UTC≈1,050 views49 reactionsread 6 November 2026
Video

🖥️⚡ انویدیا B200 تا ۴ برابر به‌صرفه‌تر از AMD MI350X؟ پژوهشگران دانشگاه استنفورد در یک ارزیابی، چهار شتاب‌دهنده هوش مصنوعی را روی ۲۲۰ وظیفه حرفه‌ای با مدل یکسان Qwen3.6-27B مقایسه کرده‌اند. 📊 طبق نتایج گزارش‌شده، پردازنده NVIDIA B200 نسبت به AMD MI350X عملکرد بهتری داشته است: 🔹 بیش از ۴ برابر ارزش اقتصادی کار انجام‌شده به‌ازای انرژی مصرفی 🔹 بیش از ۹ برابر صرفه‌جویی در زمان متخصصان به‌ازای انرژی مصرفی 💡 تفاوت مهم…

👏11🔥7🤯7👍6🤩6👌4🕊4❤2

6 Nov 2026, 03:20 UTC≈1,080 views50 reactionsread 6 November 2026
Photo

📞🤖 ربات Grok حالا به‌جای شما تلفن می‌زند! ایلان ماسک قابلیت جدید Grok Bot را معرفی کرده که می‌تواند با مراکز مختلف تماس تلفنی برقرار کند و به‌جای کاربر صحبت کند. 🦷 در یکی از دموهای منتشرشده، ربات با مطب دندان‌پزشکی تماس می‌گیرد و می‌پرسد آیا بیمه درمانی بیمار را قبول می‌کنند یا نه. 🎙️ ربات مکالمه را ادامه می‌دهد، پاسخ طرف مقابل را دریافت می‌کند و نتیجه را در چت به کاربر گزارش می‌دهد. 💡 این قابلیت نمونه‌ای از حرکت…

🔥15🤩12🤔8👏7🕊3🙏3❤1👍1

6 Nov 2026, 03:19 UTC≈1,040 views50 reactionsread 6 November 2026
Video

🧠🔗 حافظه مشترک برای ChatGPT و Claude با Notion! ابزار Notion راهکاری معرفی کرده که به دستیارهای هوش مصنوعی مختلف اجازه می‌دهد از یک پایگاه اطلاعاتی مشترک استفاده کنند. 🤖 با اتصال ChatGPT، Claude و سایر ابزارهای سازگار، می‌توان یادداشت‌ها، ترجیحات، مهارت‌ها و اطلاعات پروژه‌ها را در یک فضای مشترک ذخیره و بازیابی کرد. ⚙️ راه‌اندازی در سه مرحله انجام می‌شود: 1. اتصال دستیار به Notion 2. استفاده از پرامپت تنظیمات Noti…

🕊14🔥10👌8🤯7🙏4❤2👍2🤔2

Showing the 12 most recent of 445 posts we hold for @rss_ai_ir. 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 poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

8 Aug 2026, 13:42 UTCAnonymous Poll40 voters

ایا هزینه تامین اکانت های هوش مصنوعی[ نسخه های غیر رایگان] متناسب با درآمدتان هست؟

  1. 😊بله23%
  2. 😢خیر78%

Shares as published, totalling 101%. 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 445 most recent posts we hold, published 5 August 2026 to 6 November 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.

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“VIRSUN” (@rss_ai_ir), 16,774 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/rss_ai_ir.

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.