12 measurements spanning 31 days, net +80. 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 7,464–7,568 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Sept 2026, 08:20
7,556
+17
1 Sept 2026, 21:25
7,539
+2
30 Aug 2026, 05:38
7,537
+11
27 Aug 2026, 02:36
7,526
-3
23 Aug 2026, 21:37
7,529
+18
20 Aug 2026, 07:13
7,511
+3
16 Aug 2026, 21:33
7,508
+5
13 Aug 2026, 07:55
7,503
+12
10 Aug 2026, 12:21
7,491
+12
7 Aug 2026, 04:40
7,479
+3
6 Aug 2026, 20:00
7,476
no change
6 Aug 2026, 19:54
7,476
first reading
Engagement
56 posts held, back to 22 July 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 20 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.2%
avg views ÷ 7,556 subscribers
Avg views / post
1,070
32 posts measured
Reaction rate
1.06%
reactions ÷ views · ER floor
Posts in window
32
of 56 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
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
56 (22 July 2026 – 28 August 2026)
Views total
34,358
Reactions total
364
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 22:03 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
2m 10s
Average length
43s
Measured directly from 3 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
755 reactions across 55 posts, in 18 distinct kinds. The most used accounts for 61.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
461
61.1%
❤
204
27.0%
😁
25
3.31%
😢
24
3.18%
🔥
10
1.32%
😐
10
1.32%
👌
5
0.662%
🍌
4
0.53%
👏
3
0.397%
❤🔥
1
0.132%
🎃
1
0.132%
👀
1
0.132%
👎
1
0.132%
💔
1
0.132%
😱
1
0.132%
🙏
1
0.132%
🤩
1
0.132%
🤷♂
1
0.132%
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 55 of the 56 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 755 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 22 July 2026 to 28 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.
اگه AI Engineer، GenAI Engineer یا Agentic AI هستی، بدون گوگل کردن ببین میتونی به این سؤالها جواب بدی
1️⃣ سیستم RAG شما یهدفعه شروع میکنه جوابهای اشتباه دادن.
اول سراغ کدوم بخش میری و چطور ثابت میکنی مشکل دقیقاً از همونجاست؟
2️⃣ سیستم RAG اسناد مرتبط رو پیدا میکنه، ولی جواب نهایی هنوز ضعیفه.
چه مشکلی ممکنه بین مرحلهی پیدا کردن اطلاعات و تولید جواب اتفاق افتاده باشه؟
3️⃣ از کجا میفهمی بهتر کردن Embedding …
جنسن هوانگ، مدیر عامل انودیا:
ما به AGI دست پیدا کردیم اما این موفق بزرگ برای انودیا بی معنی است!
تو این سیستم های خودمختار، یادگیری از دستور های متنی فراتر رفته و عامل میتونه به صورت خودکار مهارت های تازه ای رو یاد بگیره
@silicon_brain | از هوش مصنوعی عقب نمانید
بازار AI Engineering الان یکی از عجیبترین و گیجکنندهترین بازارهای کاری تو سطح جهانیه. از یه طرف همه دارن میگن"کمبود نیرو تو AI داریم"، از طرف دیگه وقتی یه آگهی "Senior AI Engineer" میذارن خودشون هم نمیدونن دقیقاً دنبال چی هستن
مشکل اینجاست که شرکتها یه عنوان کلی مثل AI Engineer رو مینویسن، ولی واقعاً نمیدونن منظورشون از این نقش چیه. میخوان یکی مدل fine-tune کنه؟ یکی agentic system بسازه؟ یکی infrastructure …
۸۱۰۰ اجرای آزمایشی دربارهی Skillهای AI Agentها چه چیزی نشون میده؟
یک مطالعه روی 8,135 trial نشون داده که Skillها اون چیزی نیستن که خیلیها فکر میکنن. Skill قرار نیست صرفاً یه Knowledge Base برای Agent باشه؛ بیشتر نقش یه procedural anchor رو داره که Agent رو توی workflowهای پیچیده از مسیر خارج شدن نجات میده.
جالبتر اینکه وقتی تجربههای قبلی رو به شکل یک step-by-step runbook و استاندارد تبدیل میکنیم، عملکرد Ag…
Claude Renderer جدید؛ پاسخهای طولانی حالا ۴ برابر روانتر نمایش داده میشن
اگه تا حالا موقعی که Claude داشت یک جواب طولانی مینوشت، دیدی لپتاپت یهو کند و سنگین میشه، دلیلش تا حد زیادی Renderer قبلی بود.
مشکل این بود که با رسیدن هر کلمهی استریم جدید، کل متن از اول Re-render میشد. طبیعتاً هرچی پاسخ طولانیتر میشد، CPU هم باید کار بیشتری انجام میداد.
اما Anthropic این بخش رو بازطراحی کرده حالا Renderer فقط قس…
پاسخ سوالات مصاحبه AI/ML Engineer
1. How would you prevent deadlocks when multiple users concurrently call the same agent?
برای هر request یک isolated state/session داشته باشیم و state مشترک را تا حد ممکن حذف کنیم. در صورت نیاز به lock، از
lock ordering + timeout
استفاده کنیم و عملیات را idempotent طراحی کنیم. Async بودن بهتنهایی جلوی deadlock را نمیگیرد.
2. Difference between add_edge and add_conditional_edges i…
چند تا سوال کاربردی و واقعی مصاحبه Al/ML Engineer
1. How would you prevent deadlocks when multiple users concurrently call the same agent?
2. What is the difference between "add_edae" and "add_conditional_edges" in a LangGraph workflow?
3 What is the difference between ReAct and Plan-and-Execute agent workflows?
4. How does an LLM communicate with an MCP tool?
5. How do you validate tool outputs before passing t…
هتل هیلبرت؛ وقتی «بینهایت» با منطق معمول ما جور درنمیاد!
فرض کن یه هتل داریم با بینهایت اتاق:
1، 2، 3، 4، 5، ...
همه اتاقهای هتل کاملاً پره و حتی یه اتاق خالی هم نداریم
یه مسافر جدید میاد و مدیر میگه: شرمنده، جا نداریم!
ولی مدیر هتل هیلبرت میگه: «مشکلی نیست!»
به مهمون اتاق 1 میگه بره اتاق 2، به مهمون اتاق 2 میگه بره اتاق 3 و همینطور تا بینهایت:
n → n + 1
در نتیجه اتاق 1 خالی میشه و مهمون جدید میتونه وارد بشه…
زیر مجموعه ی خودم هستم
مثل مجموعه ای که سخت تهی ست
در سرم فکر کاشتن دارم
گرچه باغ من از درخت تهی ست
عشق آهوی تیزپا شد و من
ببر بی حرکت پتوهایم
خشمگین نیستم که تا امروز
نرسیدم به آرزوهایم
دوری و دوستی حکایت ماست
غیر از این هرچه هست در هوس است
پای احساس در میان باشد
انتخاب پرنده ها قفس است
گرچه باغ من از درخت تهی ست
در سرم فکر کاشتن دارم
شعر را، عشق را، مکاشفه را
همه را از نداشتن دارم...
یاسر قنبرلو
DeepSeek یک Vision Model جدید معرفی کرد که به Claude نزدیک شده
دیپ سیک مدل جدید V4-Flash-Vision-Exp رو منتشر کرده که قابلیت Vision داره. یعنی مدل علاوه بر متن، میتونه اسکرین شات، نمودار و داکیومنت رو ببینه و بر اساسشون تصمیم بگیره و عمل کنه.
این مدل روی Multimodal Agent Benchmarkها نسبت به V4-Flash پیشرفت قابل توجهی داشته و قابلیتهای Multimodal Agent اون به مدلهای ردهبالایی مثل Opus-4.8 نزدیک شده با این تفاوت …
از Software Testing تا AI Evaluation
توی نرمافزار کلاسیک معمولاً Expected Output مشخصه
مثلاً 2 + 3 باید دقیقاً 5 بشه. بنابراین با Unit Test، Integration Test، E2E و Regression Test میتونیم بررسی کنیم سیستم از نظر فنی درست کار میکنه یا نه.
اما توی LLM داستان فرق داره. برای یک سؤال ممکنه چند جواب کاملاً متفاوت داشته باشیم که همگی درست باشن پس نمیتونیم همیشه بگیم
Actual Output == Expected Output.
اینجاست که AI Ev…
👍5❤2
Showing the 12 most recent of 56 posts we hold for @silicon_brain. 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.
Posts edited after publishing
@silicon_brain edited 1 post 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.
First edit seen
8 August 2026
Most recent edit
8 August 2026
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 177%, 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 56 most recent posts we hold, published 22 July 2026 to 28 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.
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 4 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.
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.
Appears in Telegram’s recommendations for other channels
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.
هوش مصنوعی در پژوهش @AI_in_Research · 257,584 Telegram ranks this channel #9 of 92 here — alongside 91 others — read 19 August 2026
مجله هوش مصنوعی @HomeAI · 32,742 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 5 September 2026
Machine Learning | یادگیری ماشین @MachineLearning_ir · 34,049 Telegram ranks this channel #25 of 90 here — alongside 89 others — read 3 September 2026
Data Science | علم داده @DataScience_ir · 49,818 Telegram ranks this channel #25 of 92 here — alongside 91 others — read 25 August 2026
آموزش نوین مقاله نویسی با هوش مصنوعی @tephd · 77,491 Telegram ranks this channel #25 of 87 here — alongside 86 others — read 19 August 2026
کتابخانه مهندسی کامپیوتر و پایتون @programmers_street · 31,040 Telegram ranks this channel #31 of 87 here — alongside 86 others — read 6 September 2026
عصر گویش | هوش مصنوعی @asrgooyeshpardaz · 100,307 Telegram ranks this channel #32 of 89 here — alongside 88 others — read 24 August 2026
هوش مصنوعی | AI @AI_University · 32,526 Telegram ranks this channel #41 of 83 here — alongside 82 others — read 5 September 2026
Scholarshiphub.ir @Scholarshiphubir · 28,617 Telegram ranks this channel #60 of 79 here — alongside 78 others — read 9 September 2026
دوره های یودمی را رایگان بیاموزید و گواهینامه بگیرید. @udemyforever · 30,990 Telegram ranks this channel #72 of 81 here — alongside 80 others — read 6 September 2026
FaraDars | فرادرس @faradars · 61,324 Telegram ranks this channel #86 of 87 here — alongside 86 others — read 22 August 2026
رویدادهای دانشجویی تهران @roydad_daneshjoo · 55,987 Telegram ranks this channel #88 of 91 here — alongside 90 others — read 23 August 2026
اقتصاد به زبان ساده @eghtesaderooz · 56,071 Telegram ranks this channel #89 of 95 here — alongside 94 others — read 22 August 2026
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.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Silicon Brain | جامعه هوش مصنوعی” (@silicon_brain), 7,556 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/silicon_brain.
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.