برای اولین بار، یه جنگنده F-16 واقعی بیشتر پروازش رو با هوش مصنوعی انجام داد! DARPA و نیروی هوایی آمریکا توی برنامهای به اسم VENOM، یه F-16 واقعی رو با یه کیت هوش مصنوعی مجهز کردن و پروازش دادن. طبق گزارشها، بخش عمدهی پرواز رو ایجنت AI انجام داد، نه خلبان انسانی. پس خلبان کجا بود؟ خلبان همچنان توی کابین نشسته بود! این کیت بهش اجازه میده با یه سوییچ ساده بین کنترل دستی و کنترل هوش مصنوعی جابهجا بشه. یعنی هنوز مس…

Channel
Hashtagify! | آموزش هوش مصنوعی
@hashtagifyofficial
On this record: Growth · Engagement · What this channel posts · Posts · Polls · Citations · Cite this entry
12,884subscribers
-82 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001648772840 |
|---|---|
| Type | Channel |
| Username | @hashtagifyofficial |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/hashtagifyofficial |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 11:24 | 12,884 | -20 |
| 12 Aug 2026, 09:44 | 12,904 | -17 |
| 11 Aug 2026, 07:47 | 12,921 | -14 |
| 10 Aug 2026, 09:33 | 12,935 | -16 |
| 9 Aug 2026, 06:43 | 12,951 | -7 |
| 8 Aug 2026, 04:53 | 12,958 | -8 |
| 7 Aug 2026, 08:45 | 12,966 | no change |
| 7 Aug 2026, 08:36 | 12,966 | first reading |
Engagement
23 posts held, back to 18 June 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.84%
- avg views ÷ 12,884 subscribers
- Avg views / post
- 1,010
- 12 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 12
- of 23 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 23 (18 June 2026 – 12 August 2026) |
| Views total | 12,124 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 02:59 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
- 6m 55s
- Average length
- 1m 23s
Measured directly from 5 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.
Recent posts
شرکت OpenAI جزئیات یه اتفاق عجیب رو منتشر کرد؛ چند تا ایجنت هوش مصنوعی بدون دخالت انسان با هم هماهنگ شدن و به زیرساخت Hugging Face نفوذ کردن! ماجرا از اونجا شروع شد که یه مدل تحقیقاتی داخلی OpenAI، طی یه تست امنیتی، یه آسیبپذیری توی زیرساخت Artifactory پیدا کرد. بعد بهجای گزارش ساده، خودش یه بورد پیام مشترک ساخت تا با ایجنتهای دیگه اطلاعات رو رد و بدل کنه و با هم آسیبپذیریهای بیشتری از جمله دسترسی ادمین و اجرای…
خب خب.. پس مشخص شد همه یه دستی بر آتش دارن!😁 از این به بعد سعی میکنیم آموزش هامون رو طبق نیاز شما انجام بدیم👀
چقدر توی کار و درس و زندگیتون از ai استفاده میکنید؟
- اصلا استفاده از نمیکنم و دوستش ندارم☹️2%
- در حد یه سوال و جواب ساده با GPT 👾25%
- توی درسم یا کارم ازش استفاده میکنم🦦55%
- به صورت حرفهای از چندتا مدل استفاده دارم و ازش درآمد کسب میکنم!😉👊21%
- بیزنسم کامل وابسته به اونه و محصولات مختلفی باهاش ساختم مثل اپ یا وبسایت یا چیزای خاص🤓12%
The shares total 115%, 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.
یه سوال مهم دارم ازتون👀
🍿 اولین ویدیوی تماما ساخته شده با Ai! بالاخره مرزهای تولید محتوا جابهجا شد! فیلم Hell Grind ، اولین فیلم بلند سینمایی است که تماماً توسط هوش مصنوعی (Higgsfield AI) ساخته شده و در بازار کن هم اکران شده. سازندگان، تمام پرامپتها و داراییهای استفاده شده در فیلم رو بهصورت کاملاً رایگان و اوپنسورس منتشر کردند تا همه یاد بگیرن چطور میشه یک فیلم بلند رو با AI تولید کرد. - مشاهده فیلم کامل در یوتیوب - چطوری تونستن این ف…
پرامپت حذف واترمارک از تصویر! متن پرامپت 🧠 Keep the image as is and only remove the logos and text overlays on the image. Keep the image clean and preserve the original content. STRICT RULE: Do not change the face, hair, expression, posture, composition, or background. چطوری استفاده کنیم؟ متن پرامپت رو کپی کنید. پرامپت رو در هوش مصنوعی Nano Banana وارد کنید. تصویر را برای هوش مصنوعی آپلود کنید و ساخت عکس رو بزنید.…
اپن OpenAI قابلیت ChatGPT Voice رو از یه دستیار صوتی ساده به یه سیستم کنترل کامل برای کامپیوتر ارتقا داده؛ یعنی میتونی فقط با حرف زدن، بدون نیاز به کیبورد، کارهات رو مدیریت کنی! این قابلیت که با GPT-Live کار میکنه، میتونه کارهای مختلف رو اجرا کنه، روند انجامشون رو زیر نظر بگیره و چندین AI Agent رو بهصورت همزمان در ChatGPT Work و Codex هماهنگ کنه. کار باهاش چطوریه؟ جالبتر اینکه وقتی این ایجنتها مشغول انجام کار …
🤖 با Gemini در Google Slides میتونید یک ارائه کامل و هماهنگ بسازید! قابلیت جدیدی که میتونه از روی یک توضیح کوتاه، فایلهای مرجع و نمونهای از طراحی، یک ارائه چنداسلایدی کامل ایجاد کنه. خروجی فقط تصویر یا پیشنمایش نیست؛ تمام اسلایدها بهصورت بومی در Google Slides ساخته میشن و متنها، تصاویر، نمودارها و چیدمان اونها قابل ویرایشاند. قبلاً Gemini بیشتر برای ساخت یا اصلاح یک اسلاید، تولید تصویر، خلاصهکردن ارائه و …
اسمِ NotebookLM از این پس Gemini Notebook میشه! این تغییر فقط یک تغییر نام ساده نیست؛ گوگل میخواد قابلیتهای NotebookLM رو عمیقتر وارد اکوسیستم Gemini و Google Search کنه. مهمترین نکات اعلامشده: اینکه Gemini Notebook همچنان یک محصول مستقل باقی میمونه. بنابراین سرویس NotebookLM حذف یا با اپلیکیشن Gemini جایگزین نمیشه؛ بلکه با نام جدید و تمرکز بیشتر بر تحقیق، یادگیری و تحلیل منابع ادامه پیدا میکنه. و Noteboo…
برای جنوبِ عزیزم.
با دفترچههای مطالعه جمنای، خیلی راحتتر و بهتر درس بخون🧠 1. برنامه جمنای (Gemini) رو باز کن و گزینه New notebook و بعدش Study and learn رو انتخاب کن 2. به جمنای بگو دقیقاً میخوای چی یاد بگیری. مثلاً بگو: «کمکم کن واسه امتحان زیست، سلولهای گیاهی و جانوری رو یاد بگیرم» یا «میخوام واسه امتحان حسابان درس بخونم، کمکم کن.» 3. چتبات برای اینکه دفترچهت رو مخصوصِ خودت تنظیم کنه، ازت یه سری اطلاعات بیشتر میخواد. تازه می…
Showing the 12 most recent of 23 posts we hold for @hashtagifyofficial. 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.
چقدر توی کار و درس و زندگیتون از ai استفاده میکنید؟
- اصلا استفاده از نمیکنم و دوستش ندارم☹️2%
- در حد یه سوال و جواب ساده با GPT 👾25%
- توی درسم یا کارم ازش استفاده میکنم🦦55%
- به صورت حرفهای از چندتا مدل استفاده دارم و ازش درآمد کسب میکنم!😉👊21%
- بیزنسم کامل وابسته به اونه و محصولات مختلفی باهاش ساختم مثل اپ یا وبسایت یا چیزای خاص🤓12%
The shares total 115%, 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.
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 23 most recent posts we hold, published 18 June 2026 to 12 August 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.
Citation-graph rank
Citation-graph rank — 432,337 of 1,169,250entries 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
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
Named by 3 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Hashtagify! | آموزش هوش مصنوعی” (@hashtagifyofficial), 12,884 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/hashtagifyofficial.
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.