چاپ مقاله در نشریات خارجی جرم انگاری شد . جزییات بیشتر در ایسنا بخوانید https://www.isna.ir/amp/1405052816898/
🍓8🆒5🔥1
Signed Farzad 🦅

Channel
@AI_DeepMind
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
15,491subscribers
+121 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001360412418 |
|---|---|
| Type | Channel |
| Username | @AI_DeepMind |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/AI_DeepMind |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 18:17 | 15,491 | +15 |
| 21 Aug 2026, 05:54 | 15,476 | +3 |
| 20 Aug 2026, 03:02 | 15,473 | +8 |
| 19 Aug 2026, 06:02 | 15,465 | -2 |
| 18 Aug 2026, 08:22 | 15,467 | +4 |
| 17 Aug 2026, 09:56 | 15,463 | +15 |
| 15 Aug 2026, 17:18 | 15,448 | +14 |
| 14 Aug 2026, 06:15 | 15,434 | +3 |
| 13 Aug 2026, 01:16 | 15,431 | +1 |
| 12 Aug 2026, 00:33 | 15,430 | -1 |
| 11 Aug 2026, 01:31 | 15,431 | +25 |
| 10 Aug 2026, 02:41 | 15,406 | +7 |
| 9 Aug 2026, 04:11 | 15,399 | +8 |
| 8 Aug 2026, 07:18 | 15,391 | +8 |
| 7 Aug 2026, 05:57 | 15,383 | +13 |
| 6 Aug 2026, 07:32 | 15,370 | first reading |
50 posts held, back to 1 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 36 pagesof Telegram’s post history, 20 posts per page.
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 47 of 50 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 August 2026 |
|---|---|
| Posts held | 50 (1 August 2026 – 22 August 2026) |
| Views total | 128,720 |
| Reactions total | 493 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 11:41 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.
Measured directly from 4 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.
470 reactions across 46 posts, in 7 distinct kinds. The most used accounts for 46.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 220 | 46.8% | |
| 👍 | 107 | 22.8% | |
| 🔥 | 62 | 13.2% | |
| 🍓 | 31 | 6.60% | |
| 👌 | 20 | 4.26% | |
| 🕊 | 17 | 3.62% | |
| 🆒 | 13 | 2.77% |
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 47 of the 50 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 493reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 1 August 2026 to 22 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AI_DeepMind. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 50 most recent posts we hold for this entry, published 1 August 2026 to 22 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
چاپ مقاله در نشریات خارجی جرم انگاری شد . جزییات بیشتر در ایسنا بخوانید https://www.isna.ir/amp/1405052816898/
🍓8🆒5🔥1
Signed Farzad 🦅
این #مقاله بررسی میکند که یک شبکه عصبی در شرایط واقعی آموزش، حداکثر چند نمونه را میتواند کاملاً یاد بگیرد. سؤال اصلی این است که آیا تعداد پارامترهای مدل واقعاً معیار مناسبی برای تعیین ظرفیت آن است یا معماری، داده، تابع فعالسازی و الگوریتم بهینهسازی نیز ظرفیت عملی مدل را تغییر میدهند. تعداد پارامترهای یک شبکه عصبی بهتنهایی مشخص نمیکند چه مقدار داده را میتواند یاد بگیرد. شبکههای عصبی معمولاً در حفظ دادههای …
❤9
Signed Farzad 🦅
🔥 آفر ویژه اکمارس برای ابزارهای هوش مصنوعی ChatGPT Plus — ۱,۴۴۰,۰۰۰ تومان Gemini Pro — ۴۵۰,۰۰۰ تومان Cursor Pro — ۳,۴۰۰,۰۰۰ تومان Claude Pro — ۴,۲۹۰,۰۰۰ تومان لینک خرید اکانت های هوش مصنوعی اکمارس ⚡️ فعالسازی سریع | 🛡 گارانتی و پشتیبانی @Accmars https://t.me/Accmars_support 🌐 www.accmars.com
Signed Farzad 🦅
کلاینت های فیلترشکنی که هرکسی باید آنها رو داشته باشد. ▪️ Throne (Formerly Nekoray) برای انواع سیستم عامل ها نظیر ویندوز، لینوکس، مک موجود هست. این جدیدترین نسخه نکوری هست و اپدیت های منطم خود را دریافت میکند. نکوری دیگر اپدیت نمیگردد. 🔶 Happ - Proxy Utility 🔸 AppleStore Happ 🔸 GooglePlay Store برای انواع سیستم عامل ها نظیر ویندوز، لینوکس، مک، اندروید و IOS موجود هست. 🔸 OpenVPN Connect Official website 🔸 OpenVPN Co…
❤3
انتروپیک با مدل opus 5 اومد 80درصد سیستم پرامپت رو حذف کرد و گفت دیگه لازم نیست چون مدلها باهوش شدن. ولی خب اتفاقی که افتاده اینه که opus 5 خیلی کارهای عجیب و اضافه و نامربوط میکنه و مثل قبل دیگه خیلی طبق خواست ما پیش نمیره. یه دولوپر خفن اومده این سیستم پرامپت رو نوشته. اگر شماهم این مشکل رو دارید استفادش کنید: https://github.com/disler/fixing-smartass-opus-5/blob/main/sr_opus_5_system_prompt.md ☑️ @AI_DeepMind ✅ …
👍8❤1
Signed Farzad 🦅
🚀 پارسبنچ ۰.۳ منتشر شد — این بار برای اپ شما، نه فقط مدل چتبات یا ایجنت فارسی ساختید؟ پارسبنچ حالا خودِ اپ شما رو ارزیابی میکنه: 🧪در AppEvaluator — با چند خط پایتون تعریف کنید چه toolای با چه آرگومانهایی باید صدا زده بشه و جواب چی باید داشته باشه 🗓 تطبیق فارسیآگاه — «۵ مهر» = 2026-09-27، «۲۵۰ هزار تومان» = ۲٬۵۰۰٬۰۰۰ ریال، ارقام فارسی = لاتین، نیمفاصله هم بیاثر 🎭 شبیهساز کاربر ایرانی — مکالمهی چندمرحله…
🍓4❤1
Signed Farzad 🦅
در این صفحه، Tencent مدلی به نام UI-Mate-27B معرفی کرده که یک GUI Agent یا «عامل هوش مصنوعی برای کار با کامپیوتر» است؛ یعنی فقط چت نمیکند، بلکه میتواند صفحهی کامپیوتر را ببیند و تصمیم بگیرد با موس و کیبورد چه کاری انجام دهد. مدل میتواند عملیاتهایی مثل کلیک، تایپ، Scroll، صبر کردن و ادامهی مراحل یک کار را برنامهریزی کند. اجرای واقعی این دستورات توسط یک محیط خارجی مثل pyautogui انجام میشود. بهجای اینکه تمام م…
👍5❤3👌1
Signed Farzad 🦅
کلاینت های فیلترشکنی که هرکسی باید آنها رو داشته باشد. ▪️ Throne (Formerly Nekoray) برای انواع سیستم عامل ها نظیر ویندوز، لینوکس، مک موجود هست. این جدیدترین نسخه نکوری هست و اپدیت های منطم خود را دریافت میکند. نکوری دیگر اپدیت نمیگردد. 🔶 Happ - Proxy Utility 🔸 AppleStore Happ 🔸 GooglePlay Store برای انواع سیستم عامل ها نظیر ویندوز، لینوکس، مک، اندروید و IOS موجود هست. 🔸 OpenVPN Connect Official website 🔸 OpenVPN Co…
❤2
Signed Farzad 🦅
آفرهای فیلترشکن تونل ویژه کانال برای شرایط عادی یک ماهه مناسب برای تمام وب سایتها از جمله هوش مصنوعی و ... 10 گیگ 55 تومن 20 گیگ 110 تومن 30 گیگ 165 تومن 40 گیگ 220 تومن 50 گیگ 275 تومن و IP ثابت امریکا، ترکیه، آلمان یک ماهه 30 گیگ 950 50 گیگ 1500 100 گیگ 2800 برای تهیه بهم پیام بدید @Farzadh1h
❤2
Signed Farzad 🦅
🟠 نتایج نهایی کنکور دکتری ۱۴۰۵ اعلام شد ▫️نتایج نهایی آزمون دکتری سراسری و آزاد ۱۴۰۵ بر روی سایت سازمان سنجش قرار گرفت. مشاهده نتایج: https://result2.sanjesh.org/RSPHD/phd1405final/
❤6
Signed Farzad 🦅
مدل های زیر فعلا رایگان شدند DeepSeek V4 Pro Qwen 3.8 Max وارد لینک بشید https://www.tokenrouter.com/models/# ثبت نام کنید استفاده کنید
👍12❤3🔥1
Signed Farzad 🦅
وقتی یک AI Agent خراب عمل میکند، دقیقاً کدام بخش مقصر است؟ خود مدل، Harness، حافظه، ابزار، محیط یا سیستم ارزیابی؟ هنگام شکست یک AI Agent نباید فوراً خود LLM را مقصر دانست؛ ابتدا باید تعامل ایجادکننده خطا و Component واقعاً مسئول آن شناسایی شود، زیرا اصلاح Model، Memory، Context، Tool، Harness و Environment راهحلهای کاملاً متفاوتی میطلبد. ▪️ Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent F…
👌7❤2👍1
Signed Farzad 🦅
Showing the 12 most recent of 50 posts we hold for @AI_DeepMind. 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.
@AI_DeepMind edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 205,265 of 1,583,249entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
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.
This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“DeepMind AI Expert” (@AI_DeepMind), 15,491 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/AI_DeepMind.
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.