متین هستم و کامپیوتر رو دوست دارم! در حال یادگیری هستم و چیزهایی که یاد میگیرم رو سعی میکنم به شما هم یاد بدم اگر به دردتون بخوره=)
ارتباط با من: https://linktr.ee/matinsenpai
Created
Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 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.
Growth
60 measurements spanning 92 days, net -2,286. 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 153,264–156,754 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
6 Nov 2026, 02:39
154,060
+13
5 Nov 2026, 01:47
154,047
-39
3 Nov 2026, 23:09
154,086
+7
2 Nov 2026, 22:51
154,079
+18
2 Nov 2026, 00:37
154,061
+18
31 Oct 2026, 23:19
154,043
-31
31 Oct 2026, 01:28
154,074
-31
29 Oct 2026, 23:36
154,105
+26
29 Oct 2026, 01:29
154,079
+9
27 Oct 2026, 21:10
154,070
+12
26 Oct 2026, 20:18
154,058
+47
25 Oct 2026, 19:36
154,011
+65
24 Oct 2026, 19:50
153,946
-1
23 Oct 2026, 22:16
153,947
+23
23 Oct 2026, 01:28
153,924
+10
22 Oct 2026, 02:56
153,914
+6
20 Oct 2026, 20:06
153,908
-36
19 Oct 2026, 15:38
153,944
+27
18 Oct 2026, 15:28
153,917
+53
17 Oct 2026, 15:49
153,864
first reading
Engagement
834 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 188 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.9%
avg views ÷ 154,060 subscribers
Avg views / post
27,700
230 posts measured
Reaction rate
0.887%
reactions ÷ views · ER floor
Posts in window
231
of 834 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 5 November 2026
Posts held
834 (5 August 2026 – 5 November 2026)
Views total
6,360,000
Reactions total
56,440
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 05:18 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
≈1,880
Videos
≈236
Links
≈1,220
Lifetime counters from Telegram’s own channel header, read 6 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
37m 24s
Average length
46s
Measured directly from 49 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
247,716 reactions across 828 posts, in 7 distinct kinds. The most used accounts for 42.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
104,148
42.0%
😁
57,501
23.2%
👍
45,411
18.3%
💔
27,469
11.1%
🆒
7,373
2.98%
🦄
3,031
1.22%
💯
2,783
1.12%
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 828 of the 834 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 247,716 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 834 most recent posts we hold, published 5 August 2026 to 5 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.
Telegram Stars
Stars received
1,561
across the posts below
Posts paid on
220
of 828 we hold a reading for · 27%
Most on one post
205
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @MatinSenPaii. 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 834 most recent posts we hold for this entry, published 5 August 2026 to 5 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 10 of 231 posts held from the last 30 days (4.33%) 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).
لابراتوار Vercel ابزار agent-desktop رو متنباز کرده تا ایجنتها خودشون با برنامههای دسکتاپ کار کنن
حساب RoundtableSpace توی ایکس معرفیش کرده؛ کارش اینه که به ایجنت کدنویسیتون یه دست اضافه میده برای برنامههایی که فقط نسخه دسکتاپ دارن.
طرز کارش این شکلیه که به جای اسکرینشات گرفتن و حدس زدن جای دکمهها، درخت دسترسی خود برنامه رو میخونه؛ یعنی همه دکمهها و کادرهای ورودی رو با آدرس مشخص میشناسه، روشون کلیک میکن…
تیم MIT یه حافظه برای رباتها ساختن که اشتباههای خودش رو درست میکنه
سیستم UQ-DAAAM با مقایسهی توصیفهای یه شیء از زاویههای مختلف، میزان اطمینان ربات از دیدههاش رو میسنجه و توصیفهای غلط رو اصلاح میکنه؛ مثلا اگه دفیبریلاتور رو با کپسول آتشنشانی اشتباه گرفته باشه. توی آزمایشها ۹۲٪ ابهامها رو با فقط دو کپشن اضافه حل کرده و دقت توصیفها رو ۵٪ نسبت به بهترین روش قبلی بالا برده توی حالت عادی. خود کار، فعلا پژوهشی…
الان اکانت Claudeام رو با کارت قدیمی Mpay ام دوباره شارژ کردم و مشکلی نداشت. یعنی کریپتو واریز کردم و از قبل هم موجودی نداشتم. صرفا گیرش ساخت اکانت جدیده انگار که اون هم ممکنه به زودی حل بشه
کمپانی OpenAI یه پایپلاین خودکار ساخته که توی کرنل لینوکس ۹۴۸ تا آسیبپذیری پیدا کرده، اکسپلویتش رو ساخته و پچش رو هم نوشته
گزارش خود OpenAI میگه پژوهشگرهای امنیتیش یه سامانه خودکار ساختن که با یه مدل سایبری هنوز معرفینشده، کل مسیر رو خودش میره: آسیبپذیری رو پیدا میکنه، روی سیستم واقعی تستش میکنه، اکسپلویتش رو میسازه و در آخر براش پچ تولید میکنه.
نتیجه یه رانش وسط اکتبر این شده: از ۲٬۳۰۸ مورد مشکوک شروع کرد…
یه اسکیل متنباز برای Claude code که هر ویدئویی رو شاتبهشات کالبدشکافی میکنه و نقشهی بازسازیش رو میده
ریپوی REA-Video توی گیتهاب یه اسکیله برای کلاد کد و Codex؛ کافیه لینکش رو به ایجنت بدید و یه فایل ویدئو هم بهش بدید، خودش از اول تا آخر ویدئو رو میبینه و درک میکنه و بعدش با ابزارهای درست، میتونه شبیه همون رو براتون تولید کنه.
طرز کارش این شکلیه که برای هر شات جدا میگه فیلمبرداری واقعیه، با AI ساخته شده ی…
نسخه ۰٫۹٫۰ llama.cpp اومد؛ با پشتیبانی FP8 و مدلهای جدید
صفحه ریلیز llama.cpp میگه نسخه ۰٫۹٫۰ با پشتیبانی از کوانتیزاسیون OCP FP8 E4M3 اومده؛ یعنی یه فرمت فشردهسازی وزنها که مدل رو سبکتر و سریعتر میکنه، بهعلاوه یه عملگر تازه flash_attn_ext_rows که کش یکپارچه KV رو برای استنتاج چند دنبالهای بهینهتر میکنه.
چهار معماری تازه هم اضافه شده: Clover و Limite و Metis-1.6 و Mistral Large 4. توی بخش صدا هم Chatterb…
کمپانی OpenAI مدل ChatGPT Images 2.6 رو منتشر کرد؛ حالا ChatGPT براتون GIF هم میسازه(خیلی باحاله😂)
حساب رسمی OpenAI توی ایکس از انتشار ChatGPT Images 2.6 خبر داده که از امروز توی ChatGPT و Codex برای همه پلنها روی وب، دسکتاپ و موبایل فعاله.
قابلیتهاش این شکلیه که میتونید با یه پرامپت یا با آپلود یه عکس، GIF متحرک بسازید، سرعت پخشش رو عوض کنید و هر فریمش رو جدا ویرایش کنید. عکسهای مرجع رو هم میتونید یه بار ذخی…
یزدان برای چندمین بار من رو توی دنیای نرمافزار نجات داد
صرفا خواستم این رو بگم که من اگر یک جا به موفقیتی هم برسم توی این چندتا کاری که دارم میکنم و نمیتونم فعلا بگم چی هستن، پشتش دوستهایی دارم که دلسوزانه کمکم میکنن و امیدوارم بتونم لطفشونو جبران کنم یک روزی🤖
با بخش اول این صحبت(که پروژههای بسته کدهاشون شاید خفنتره و اینکه AI برای از صفر نوشتن پروداکشن هنوز مناسب نیست) موافقم.
و قبول دارم که دنیای اوپن سورس دیگه مثل گذشته نیست. همینطور این رو اضافه کنم که حجم کدهای تکراری، پروژههای تکراری و پروژههای AI generated slop خیلی زیاد شده. اما حس میکنم این، چشماندازیه که به سمت و سوی یه نقطهی جالبتر از تاریخِ اینترنت پیش بریم.
هیچکس نمیتونه آینده رو پیشبینی کنه.
و همینط…
در حال حاضر، همه مدلهای هوش مصنوعی از منابع آزاد و باز آموزش دیده شدهاند، یعنی اونایی که در دسترس عموم هست و معمولا کدهایی که در دسترس عموم هست از نظر کیفیت و سطح حرفهای بودنشون خیلی خیلی متفاوتتر هستند از کدهایی که توی محصولها داره ران میشه و دلیلش هم خیلی ساده هست، چون پول پشت کدهای باز و آزاد نیست
اون کدهایی که توی محصولها داره ران میشه به صورت خصوصی در اختیار کمپانیهایی هست که دارن ازش پول درمیارن و در دس…
OpenAI داره Pierre Computer رو میخره تا Codex رو به جای بهتری برای کدنویسی با ایجنت تبدیل کنه
بلاگ OpenAI میگه قراره شرکت Pierre Computer رو بخره؛ همون تیمی که ابزارهای Open Source مرور کد Trees و Diffs رو ساخته و همین حالا هم توی اپ Codex استفاده میشن.
هدفشون اینه که ورکفلوی Git رو برای دورهای که ایجنتها موازی با هم کد میزنن بازطراحی کنن؛ از اولین برنچی که یه ایجنت میسازه تا لحظهای که کد دیپلوی میشه. ابز…
وزنهای Kimi K3.1 Pro بالاخره منتشر شدن؛ مدل Open Weight با کانتکست یک میلیون توکن
صفحه Hugging Face شرکت Moonshot میگه Kimi K3.1 Pro یه مدل ایجنتی چندوجهی با وزنهای بازه؛ در کل ۲٫۸ تریلیون پارامتر داره که موقع اجرا ۱۰۴ میلیاردتاش فعال میشه و کانتکستش یک میلیون توکنه.
🔗 منبع
✉️ t.me/MatinSenPaii
❤109👍12😁2🦄1
Signed ᯽マティ️️ン先輩
Showing the 12 most recent of 834 posts we hold for @MatinSenPaii. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@MatinSenPaii edited 3 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.
First edit seen
24 August 2026
Most recent edit
27 September 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @MatinSenPaii as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
23 October 2026
Most recent seen missing
4 November 2026
Median time before seen missing
15 hours
Seen missing in the last 30 days
2
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.
Shares as published. 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 834 most recent posts we hold, published 5 August 2026 to 5 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 42 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@MatinSenPaii named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@matinsenpai named in 3 posts, 24 August 2026 – 28 August 2026
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Matin SenPai” (@MatinSenPaii), 154,060 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/MatinSenPaii.
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.
