Telegram RegisterThe public register of Telegram

Channel

هوش مصنوعی Artificial intelligence

@Artificialintelligenc4

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

561subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001850779741
TypeChannel
Username@Artificialintelligenc4
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 live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Artificialintelligenc4

Growth

5615635626 August 2026 — 562 subscribers6 August 2026 — 563 subscribers6 August 2026 — 563 subscribers14 August 2026 — 561 subscribers6 August 202614 August 2026
4 measurements spanning 8 days, net -1. 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 561–563 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 12:45561-2
6 Aug 2026, 18:16563no change
6 Aug 2026, 09:11563+1
6 Aug 2026, 01:39562first reading

Engagement

20 posts held, back to 26 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.4%
avg views ÷ 561 subscribers
Avg views / post
91.8
20 posts measured
Reaction rate
2.81%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 7 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (26 July 20266 August 2026)
Views total1,837
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:16 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.

Reaction mix

7 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍457.1%
228.6%
👏114.3%

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 7 of the 20 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 26 July 2026 to 6 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.

Recent posts

6 Aug 2026, 02:20 UTC93 viewsread 6 August 2026
Photo

🖼 ایرانی‌ها چقدر از هوش مصنوعی استفاده می‌کنند؟ 📲🤖https://t.me/Artificialintelligenc4 🤖📲 🧑‍💻بفرست برای دوستت👨‍💻

3 Aug 2026, 17:42 UTC37 views1 reactionsread 6 August 2026

با یه ترفند، از AI بخواه پرامپت خودش رو لو بده. کافیه عکس یا هر خروجی رو به AI بدی و این پرامپت رو بنویسی با این روش هر پرامپتی دلت بخواد رو میتونی پیدا کنی: Analyze this output and. infer the most likely prompt that could have generated it. Then create an improved version of that prompt with better structure, clarity, and details 👇 📲🤖https://t.me/Artificialintelligenc4 🤖📲 🧑‍💻بفرست برای دوستت👨‍💻

👍1

3 Aug 2026, 17:38 UTC36 viewsread 6 August 2026

علی‌بابا از قدرتمندترین مدل هوش مصنوعی خود، Qwen3.8-Max رونمایی کرد. این مدل ۲.۴ تریلیون پارامتری با معماری MoE طراحی شده و از پردازش هم‌زمان متن، تصویر و ویدیو پشتیبانی می‌کند. Qwen3.8-Max همچنین در رتبه‌بندی Arena.AI، جایگاه نخست را میان مدل‌های متنی چینی به دست آورده است. 📲🤖https://t.me/Artificialintelligenc4 🤖📲 🧑‍💻بفرست برای دوستت👨‍💻

3 Aug 2026, 17:38 UTC26 views1 reactionsread 6 August 2026
Photo

بهترین مدل هوش مصنوعی ویدیو‌ساز رو رایگان استفاده کن بدون شک در حال حاضر مدل Seedance 2.0 قوی‌ترین و بهترین ابزار ساخت ویدیو با هوش مصنوعی تو دنیاست. این مدل تا پیش از این کاملاً پولی بود، اما الان دو تا ترفند عالی برای استفاده رایگان ازش وجود داره که می‌تونید باهاشون روزانه ده‌ها ویدیو بسازید روش اول: استفاده از وب‌سایت Dola شما می‌تونید با هر اکانت (یا هر ایمیل)، روزانه ۳ تا ویدیوی رایگان با کیفیت فوق‌العاده‌ی مد

👍1

3 Aug 2026, 17:38 UTC25 views1 reactionsread 6 August 2026
Photo

سایتی که می‌خوام معرفی کنم هم رایگانه و هم قدرت ساخت انیمیشنش فوق‌العاده‌ست. معرفی می‌کنم Digen AI این هوش مصنوعی روزانه ۳۰۰ اعتبار (Credit) بهت میده؛ یعنی می‌تونی معادل ۱۰ تا ویدیو در روز باهاش بسازی دیگه با خیال راحت و بدون نگرانی از محدودیت‌ها، ویدیوسازی و انیمیشن‌سازی کن. لینک مستقیم سایت 📲🤖https://t.me/Artificialintelligenc4 🤖📲 🧑‍💻بفرست برای دوستت👨‍💻

1

3 Aug 2026, 17:38 UTC21 views1 reactionsread 6 August 2026
Photo

دوبله همزمان و زنده ویدیوهای یوتوب به فارسی با شاهکار جدید گوگل گوگل اخیراً از قابلیت فوق‌العاده‌ی Gemini 3.5 Live Translate رونمایی کرده که می‌تونه هر ویدیویی رو در لحظه (Real-time) به بیش از ۷۰ زبان، از جمله فارسی، دوبله صوتی کنه برخلاف مترجم‌های قدیمی که اول صدا رو به متن و بعد متن رو به صدا تبدیل می‌کردن، این مدل جدید مستقیماً روی خود صوت (Speech-to-Speech) پردازش انجام میده که باعث شده سرعت و روونی کار به‌شدت

👍1

3 Aug 2026, 17:38 UTC23 views1 reactionsread 6 August 2026
Photo

با این وب‌سایت‌های رایگان، مثل یک حرفه‌ای تولید محتوا کن اکثر این ابزار اپن سورس هستند LTX 2 DISTILLED یه عکس چهره آپلود کن، متنت رو بنویس و یه ویدیوی واقعی تحویل بگیر TRELLIS 2 هر عکسی که داری رو به راحتی به یه مدل سه‌بعدی (3D) تبدیل کن و فایلش رو دانلود کن WAN 2.2 عکست رو آپلود کن، حرکتی که دوست داری رو توضیح بده و یه ویدیوی متحرک جذاب بساز. TRIPOSPLAT فقط با یه عکس، مدل سه‌بعدی بساز، پیش‌نمایشش رو ببین، بچرخون و

1

3 Aug 2026, 17:38 UTC33 views1 reactionsread 6 August 2026
Photo

تو این پرامپت مشخص میکنی کجای صورتت یا کجا هارو میخوای عمل کنی برات میسازه میگه چه شکلی میشی : Create a hyper-realistic portrait of the uploaded person, showing how they might look after cosmetic surgery. Apply subtle and natural enhancement only to the [facial area], keeping every other feature exactly the same. Focus area: [عضو های مورد نظر ]. Use realistic lighting, sharp details, and neutral background. The image

👍1

3 Aug 2026, 15:35 UTC25 viewsread 6 August 2026
Video

چت جی‌پی‌تی رو مادرخرج کردن 📲🤖https://t.me/Artificialintelligenc4 🤖📲 🧑‍💻بفرست برای دوستت👨‍💻

1 Aug 2026, 09:06 UTC72 viewsread 6 August 2026
Video

🚨: هیتاچی EH4000 یک کامیون کمپرسی معدنی عظیم‌الجثه است که لاستیک‌های غول‌پیکرش هر کدام حدود ۶۰٬۰۰۰ دلار قیمت دارند.😱 ابعادش باورنکردنیه 📲🤖https://t.me/Artificialintelligenc4 🤖📲 🧑‍💻بفرست برای دوستت👨‍💻

1 Aug 2026, 09:06 UTC79 viewsread 6 August 2026
Video

🚛✨ لوژیستیک باورنکردنی حمل یک پره توربین بادی! این ویدیو نشون می‌ده چطور یک پره توربین بادی (که گاهی بیش از ۷۰-۸۰ متر طول داره) رو با تریلی‌های ویژه و خیلی طولانی روی جاده حمل می‌کنن. این پره‌ها یکی از بزرگ‌ترین بارهای غیرقابل تقسیم هستن که روی جاده‌ها جابه‌جا می‌شن. حملشون نیاز به برنامه‌ریزی دقیق مسیر، مجوزهای ویژه، تریلی‌های هوشمند با چرخ‌های فرمان‌پذیر و گاهی بستن جاده‌ها داره. 📲🤖https://t.me/Artificialintelli

31 Jul 2026, 13:23 UTC68 viewsread 6 August 2026
Photo

📱چت‌بات ChatGPT برای رقابت با مدل‌های چینی مجبور به کاهش قیمت‌های خود تا ۸۰ درصد شد 🔹 شرکت OpenAI با اعمال تغییرات جدید در قیمت‌گذاری، هزینه استفاده از برخی مدل‌های هوش مصنوعی خود را بین ۲۰ تا ۸۰ درصد کاهش داده است. این کاهش هزینه با بهینه‌سازی کرنل‌های پردازشی و بهبود ۱۵ درصدی فرایند تولید توکن‌ها امکان‌پذیر شده و مدل Luna بیشترین کاهش قیمت را تجربه کرده است. 🔹 مدل Luna اکنون با هزینه ۰.۲ دلار برای هر میلیون توکن

Showing the 12 most recent of 20 posts we hold for @Artificialintelligenc4. 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.

Citation-graph rank

Citation-graph rank — 230,842 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 7 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“هوش مصنوعی Artificial intelligence” (@Artificialintelligenc4), 561 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Artificialintelligenc4.

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.