حرکت بین این سه نقش مختلف یادگیری در متن را ممکن می سازد.
Signed Rohola Zandie

Channel
@matlabtips
On this record: Growth · Engagement · Posts · Citations · Cite this entry
868subscribers
+6 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001009392265 |
|---|---|
| Type | Channel |
| Username | @matlabtips |
| Created | Between 1 September 2015 and 31 December 2015— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/matlabtips |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 02:56 | 868 | +2 |
| 6 Aug 2026, 14:35 | 866 | no change |
| 6 Aug 2026, 02:50 | 866 | +4 |
| 5 Aug 2026, 19:32 | 862 | first reading |
20 posts held, back to 2 February 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 1 pageof 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.
| Window | Rolling 30 days · latest post in window 18 July 2026 |
|---|---|
| Posts held | 20 (2 February 2026 – 18 July 2026) |
| Views total | 345 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 14:35 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.
حرکت بین این سه نقش مختلف یادگیری در متن را ممکن می سازد.
Signed Rohola Zandie
🔵 یادگیری در متن 🔵 «یادگیری بازنمایی» (representation learning) در حوزه ی زبان با «بخاطر سپردن الگوهای زبانی» از گرامر گرفته تا دانش و استنتاج که در ساختار خود زبان نهفته هستند برای مدت زمان زیادی در هاله ای از ابهام بود. تلاش های اولیه مانند روش چامسکی مساله ی گرامر را به ساختارهای مشخصی از زبان مرتبط می دانستند. با این حال چنین روشی قابل اعمال به تمام زبان نیست و حتی در خود گرامر هم به به آن سختی ای که «ساختار های…
Signed Rohola Zandie
در مدل های اخیر تر مانند GEPA یک شیفت جالب اتفاق افتاده است. به جای آنکه پارامتر ها را تغییر دهیم سه مدل زبانی با نقش های مختلف ساخته می شوند. یک «تولید کننده» (generator) زنجیره ی افکار که نمونه های مختلفی می سازد. یک داور Judge که به هر مسیر یک امتیاز بر اساس نتیجه و دنباله می دهد. و در نهایت یک «اندیشمند»( reflector) که مسیر ها و امتیاز ها را در نظر میگیرد و بر اساس آن ها یک اصلاح بر پرامپت اولیه (initial prompt) …
Signed Rohola Zandie
🔵بردار شخصیت: کلاه بتمن بر سر هوش مصنوعی🔵 در سال ۲۰۱۶، روانشناسان دانشگاه مینهسوتا آزمون عجیبی برای سنجش «خودکنترلی» (self control) کودکان ۴ ساله طراحی کردند. کودک باید ۱۰ دقیقه یک کار کامپیوتری بهشدت کسلکننده را انجام میداد، در حالی که چند قدم آنطرفتر، یک آیپد با یک بازی جذاب و وسوسهانگیز قرار داشت. بیشتر کودکان در همان دقایق اول تسلیم میشدند. اما محققان یک متغیر وارد کردند: به دستهای از آنها شنل بتمن د…
Signed Rohola Zandie
Photo, posted without a caption
Signed Rohola Zandie
پروتئین های کینسین (Kinesin) که به «پروتئین های موتوری» (Motor protein) معروف هستند! در اینجا حرکت آنها بر روی یک مایکروتیوب شبیه سازی شده است!
Signed Rohola Zandie
گویی اصل طرد پاولی یک «بی قراری» بنیادی در سرشت جهان قرار داده است. یک بی قراری که جهان را پویا و زنده کرده است. این بی قراری امکان ایجاد جستجو در فضای حالت های ممکن را فراهم کرده که نتیجه ی آن «فرم» های پویا و پیچیده هستند. توجه به ساختار پیچیده ی پروتئین ها و کارهایی که می توانند انجام دهند نشان دهنده ی «پویایی» (animacy) و «عاملیت» (agency) جهان فیزیکی هستند که خط امضای آشنای «زندگی» (life) هستند.
Signed Rohola Zandie
فرآیند بی قراری هندسی که در فیزیک حالت جامد مشاهده می شود
Signed Rohola Zandie
این حرکات ناشی از فرآیندی است که در فیزیک به آن «بی قراری هندسی» گفته می شود. برای درک بی قراری هندسی باید یک مورد ساده از ذراتی را درنظر بگیریم که بر روی یک مشبک مثلثی قرار گرفته اند. اگر یک گوشه دارای اسپین بالا (پایین) باشد باید سمت راستی اش پایین (بالا) باشد (کمترین انرژی) اما با سومی نمی تواند به تعادل برسد! اگر بالا باشد با اولی و اگر پایین باشد با دومی هم جهت می شود. به این ترتیب هر سه باید با هم سازش کرده و ب…
Signed Rohola Zandie
بخش هایی از پروتئین مانند یک دست رباتیک کار می کنند! آن ها می توانند مولکول ها، پپتاید ها و پروتئین های دیگر را «بگیرند» و حتی گاهی آن ها را تکه پاره کنند (مانند Proteases که به «قیچی مولکولی» معروف است)
Signed Rohola Zandie
مولکول پروتئین که بسیار شبیه به موجودی زنده حرکت می کند!
Signed Rohola Zandie
مولکول های کوچک هم حتی فضای اطراف خود را جستجو می کنند!
Signed Rohola Zandie
Showing the 12 most recent of 20 posts we hold for @matlabtips. 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 — 536,415 of 1,160,990entries 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.
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 2 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“MatlabTips” (@matlabtips), 868 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/matlabtips.
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.