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Channel

VIRSUN

@rss_ai_ir

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

13,590subscribers

+7,473 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
Descriptionحمایت کانال https://daramet.com/Virsun ارتباط با ادمین 1: @Ad1_rss_ai_ir کانال کتاب ها: @rss_ai_books آدرس گروه @rss_ai_ir_group
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 live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@rss_ai_ir/6499 · this entry2 Nov 2026, 17:33 UTC@HoosheMasnui/340163 Nov 2026, 14:22 UTC1.0021 hours
@rss_ai_ir/6527 · this entry3 Nov 2026, 04:15 UTC@HoosheMasnui/340724 Nov 2026, 13:13 UTC1.0033 hours
@rss_ai_ir/6622 · this entry7 Nov 2026, 03:18 UTC@HoosheMasnui/345309 Nov 2026, 14:03 UTC1.002 days
@rss_ai_ir/6574 · this entry5 Nov 2026, 02:55 UTC@HoosheMasnui/341805 Nov 2026, 14:31 UTC0.9512 hours
@rss_ai_ir/6570 · this entry5 Nov 2026, 02:55 UTC@HoosheMasnui/341785 Nov 2026, 14:29 UTC0.9412 hours
@rss_ai_ir/6685 · this entry10 Nov 2026, 18:09 UTC@HoosheMasnui/3469211 Nov 2026, 13:48 UTC0.9420 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@HoosheMasnui9 (8/8 hand-verifiable sample passed)0.9621 hoursthis entry (9–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 522 comparable posts for this entry, running 5 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_source, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

6,11719,43812,777.513,5906 August 202612 November 2026
65 measurements spanning 98 days, net +7,473. 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 65
Measured (UTC)SubscribersChange
12 Nov 2026, 10:1113,590-785
10 Nov 2026, 11:4714,375-857
8 Nov 2026, 23:3715,232-1,000
7 Nov 2026, 13:0916,232-542
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, 15:3818,417first reading

Engagement

560 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 62 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.56%
avg views ÷ 13,590 subscribers
Avg views / post
1,030
201 posts measured
Reaction rate
4.54%
reactions ÷ views · ER floor
Posts in window
201
of 560 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 13 November 2026
Posts held560 (5 August 2026 – 13 November 2026)
Views total206,610
Reactions total9,382
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 08:22 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
≈3,760
Videos
≈2,460
Links
≈2,410

Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
8h 31m
Average length
1m 58s

Measured directly from 260 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

14,937 reactions across 522 posts, in 28 distinct kinds. The most used accounts for 16.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,42716.2%
👍1,99913.4%
🔥1,97013.2%
👌1,90112.7%
🙏1,79812.0%
🕊1,0537.05%
🤩1,0256.86%
🤔9266.20%
🤯8845.92%
👏8585.74%
😁210.141%
🐳130.087%
🤣110.074%
😍100.067%
❤‍🔥60.04%
👎60.04%
🤬60.04%
🥰60.04%
😈30.02%
⚡20.013%
8 further kinds120.08%

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 542 of the 560 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 14,997 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 560 most recent posts we hold, published 5 August 2026 to 13 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
0.179%
1 of 560 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
386
over 558 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 560 most recent posts we hold, published 5 August 2026 to 13 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: 18 of 201 posts held from the last 30 days (8.96%) 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).

13 Nov 2026, 08:05 UTC637 views53 reactionsread 13 November 2026
Photo

🤖🧠 تفاوت LLM، Agent، AI Agent و Agentic AI چیست؟ این چهار مفهوم شبیه هم هستند، اما تفاوت مهمی دارند: 🔹 LLM: مدل زبانی که متن را درک و تولید می‌کند؛ به‌تنهایی ابزار یا قابلیت اجرای عملیات ندارد. 🔹 Agent: عاملی که بر اساس قوانین مشخص، محیط را بررسی کرده و واکنش نشان می‌دهد؛ مثل ترموستات هوشمند. 🔹 AI Agent: ترکیبی از مدل زبانی، حافظه و ابزارها که می‌تواند برای رسیدن به یک هدف، تصمیم بگیرد، از API استفاده کند و نتیج…

🕊13👍9👌7👏6❤4🤩4🤔3🙏3

13 Nov 2026, 08:02 UTC866 views52 reactionsread 13 November 2026
Photo

📡😳 پروژه Deep-TEMPEST؛ دیدن تصویر مانیتور بدون هک کردن کامپیوتر! پروژه Deep-TEMPEST نشان می‌دهد چگونه می‌توان با تحلیل امواج الکترومغناطیسی منتشرشده از کابل HDMI، تصویری از محتوای نمایشگر را بازسازی کرد؛ حتی وقتی کامپیوتر به اینترنت متصل نیست! 🧠 تفاوت اصلی این روش با حملات قدیمی TEMPEST، استفاده از یادگیری عمیق برای بهبود کیفیت تصویر بازسازی‌شده و افزایش خوانایی متن است. 📡 برای اجرای آزمایشی این روش به آنتن، گیرند…

🔥15🤩10🙏10🤯5👏3🤔3❤2👍2

13 Nov 2026, 07:59 UTC≈1,010 views51 reactionsread 13 November 2026
Photo

🤖🎭 وقتی استفاده از هوش مصنوعی تبدیل به نمایش می‌شود! یک پست بحث‌برانگیز در لینکدین به پدیده‌ای به نام AI Theater اشاره می‌کند؛ یعنی استفاده از هوش مصنوعی فقط برای اینکه دیگران ببینند از آن استفاده می‌کنیم! 📊 طبق آمار نقل‌شده در این پست: 🔹 ۵۲٪ از کارکنان گفته‌اند برای کاری از AI استفاده کرده‌اند که بدون آن سریع‌تر انجام می‌شد. 🔹 ۶۳٪ می‌گویند شرکتشان انتظار دارد از AI استفاده کنند. 🔹 ۳۹٪ تلاش کرده‌اند مدیرشان استف…

👍14👏12🕊7🤩7❤4🤯3👌2🔥1

13 Nov 2026, 07:54 UTC≈1,040 views52 reactionsread 13 November 2026
Video

🏀🤖 فراتر از Motion Capture؛ هوش مصنوعی نیروهای پنهان بدن را تخمین می‌زند! مؤسسه تحقیقاتی Southwest Research Institute در حال توسعه فناوری جالبی است که با استفاده از دوربین‌های معمولی، حرکت انسان را بدون مارکر یا سنسور پوشیدنی ثبت می‌کند. 🧠 سامانه ENABLE™ با ترکیب Motion Capture، مدل‌سازی بیومکانیکی مبتنی بر فیزیک و Optimal Control، امکان ساخت Digital Twin شخصی‌سازی‌شده از بدن انسان را فراهم می‌کند. 💪 این فناوری فق…

🤩21❤11👏7🕊5🙏5👌2🔥1

13 Nov 2026, 07:51 UTC≈1,040 views51 reactionsread 13 November 2026
Photo

🎬⚡ تولید ویدئو سریع‌تر از زمان واقعی با LTX-Video! پژوهشگران شرکت Lightricks معماری LTX-Video را معرفی کرده‌اند که با استفاده از Latent Diffusion، تولید ویدئو را بدون نیاز به Upscaler جداگانه سرعت می‌بخشد. 🧠 نوآوری اصلی، طراحی هماهنگ VAE و Denoiser است. مدل با فشرده‌سازی شدید اطلاعات، امکان پردازش یکپارچه فریم‌ها در زمان و فضا را فراهم می‌کند و جزئیات ازدست‌رفته را هنگام رمزگشایی بازسازی می‌کند. 🚀 طبق مقاله، تولید…

👌15🤔10❤7👍5🔥5👏4🤩3🕊1

13 Nov 2026, 07:50 UTC522 views52 reactionsread 13 November 2026
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🎥 لینک دانلود فیلم ضبط‌شده کارگاه آموزشی فایل ضبط‌شده کارگاه آموزشی «مدل‌های بینایی–زبان (VLM) در عمل» از چهاردهمین کنفرانس MVIP 2026 در دسترس قرار گرفته است. ⏳ توجه: لینک دانلود فقط به مدت ۷ روز فعال است. لطفاً در صورت تمایل، فایل را در این بازه زمانی دریافت و ذخیره کنید.

👍15🤔10❤5👌4🕊4🤩4👏3🤯3

13 Nov 2026, 07:47 UTC334 views49 reactionsread 13 November 2026
Video

🎨🧠مدل Iris-Z؛ تولید تصویر و نقشه عمق با یک مدل! آزمایشگاه Speridian Labs مدل Iris-Z را بر پایه FLUX.2 معرفی کرده که می‌تواند هم‌زمان تصویر و نقشه عمق (Depth Map) تولید کند. 🔥 این مدل با یک مجموعه وزن، چهار قابلیت دارد: تولید تصویر از متن، تولید تصویر همراه عمق، استخراج عمق از عکس و تبدیل نقشه عمق به تصویر. ⚡ دو نسخه 9B و 32B با پشتیبانی از رزولوشن‌های 512 و 1024 ارائه شده‌اند. طبق اعلام سازندگان، Iris-Z در برخی بن…

❤16👍7👌6🙏6🤩5👏4🕊2🤔2

13 Nov 2026, 07:46 UTC176 views44 reactionsread 13 November 2026
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🎨⚠️ مشکل MiniMax H3 Image؛ رزولوشن 16 مگاپیکسلی، اما جزئیات کمتر! پژوهشگری به نام Ostris به محدودیت مهمی در مدل MiniMax H3 Image اشاره کرده است: فشرده‌سازی شدید تصاویر در بخش VAE. 🔍 این مدل از فشرده‌سازی فضایی ۳۲ برابری استفاده می‌کند؛ تقریباً دو برابر مدل‌هایی مثل FLUX. این معماری که از مدل‌های ویدئویی به ارث رسیده، پردازش تصاویر بزرگ را سریع‌تر و کم‌هزینه‌تر می‌کند، اما ممکن است جزئیات ظریف را از بین ببرد. 📉 به …

❤10🤔9🕊7🙏7👏4👌2👍2🤯2

13 Nov 2026, 07:42 UTC138 views39 reactionsread 13 November 2026
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🎙️🧠پروژه VoxMel؛ تولید گفتار بدون Tokenizer صوتی! پروژه متن‌باز VoxMel روشی متفاوت برای تبدیل متن به گفتار (TTS) معرفی کرده که به‌جای توکن‌سازی صوت، مستقیماً Mel-Spectrogram تولید می‌کند. 🔬 این مدل با استفاده از Haar Wavelet و Flow Matching ابتدا ساختار کلی صدا را می‌سازد و سپس جزئیات زمانی و فرکانسی را در دو مرحله غیرخودرگرسیو تکمیل می‌کند. 🎧 قابلیت‌های مهم: - کلون‌کردن صدا با نمونه صوتی کوتاه و متن آن - دو نسخه…

🕊10❤8👌7🤯4🔥3👍2👏2🤔1

13 Nov 2026, 07:41 UTC127 views32 reactionsread 13 November 2026
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🤖🦾ربات Aru؛ ربات صنعتی که نیازی به ظاهر انسان ندارد! شرکت Nio Robotics رباتی به نام Aru معرفی کرده که با ۴ حالت حرکتی متفاوت برای محیط‌های صنعتی پیچیده طراحی شده است. ⚙️ این ربات می‌تواند از پله‌ها عبور کند، از سازه‌های فولادی بالا برود و وارد فضاهای محدود صنعتی شود؛ محیط‌هایی که دسترسی به آن‌ها برای انسان دشوار یا خطرناک است. 🏭 کاربردهای اصلی Aru شامل بازرسی تجهیزات، تعمیرات و نگهداری و عملیات صنعتی در نقاط سخت‌د…

👍9🕊6❤5🤔3🤯3🤩2👌1👏1

13 Nov 2026, 03:38 UTC≈1,130 views51 reactionsread 13 November 2026
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🗺️🤖روش Map2SLAM؛ ساخت نقشه سه‌بعدی و ردیابی موقعیت دوربین در لحظه! پژوهشگران روش Map2SLAM را معرفی کرده‌اند که مستقیماً از جریان ویدئو، نقشه محیط را می‌سازد و هم‌زمان موقعیت و مسیر حرکت دوربین را تخمین می‌زند. 🚀 طبق نتایج گزارش‌شده: - 🎯 ثبت نتایج برتر در دیتاست‌های KITTI، VBR و Oxford Spires - 📉 کاهش بیش از ۴۰٪ خطای تخمین مسیر نسبت به روش‌های برترِ بدون کالیبراسیون دوربین - ⚡ پردازش بیش از ۲۸ فریم‌برثانیه روی کارت…

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13 Nov 2026, 03:37 UTC≈1,110 views51 reactionsread 13 November 2026
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Showing the 12 most recent of 560 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 560 most recent posts we hold, published 5 August 2026 to 13 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“VIRSUN” (@rss_ai_ir), 13,590 subscribers as measured 12 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.