Channel
@shayanshahrabi_channel
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
160subscribers
+5 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002339505842 |
|---|---|
| Type | Channel |
| Username | @shayanshahrabi_channel |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 14 September 2026 |
| On Telegram | t.me/shayanshahrabi_channel |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 25 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 05:56 | 160 | +1 |
| 28 Aug 2026, 22:14 | 159 | +2 |
| 14 Aug 2026, 18:17 | 157 | +2 |
| 8 Aug 2026, 18:31 | 155 | no change |
| 6 Aug 2026, 08:15 | 155 | first reading |
20 posts held, back to 19 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
80 reactions across 17 posts, in 15 distinct kinds. The most used accounts for 41.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 33 | 41.3% | |
| 🔥 | 16 | 20.0% | |
| 👍 | 8 | 10.0% | |
| 🤣 | 6 | 7.50% | |
| 😁 | 4 | 5.00% | |
| 🥴 | 3 | 3.75% | |
| 🤓 | 2 | 2.50% | |
| ✍ | 1 | 1.25% | |
| 🆒 | 1 | 1.25% | |
| 🌚 | 1 | 1.25% | |
| 🍾 | 1 | 1.25% | |
| 🎃 | 1 | 1.25% | |
| 👌 | 1 | 1.25% | |
| 👾 | 1 | 1.25% | |
| 🤔 | 1 | 1.25% |
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 17 of the 20 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 80 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 19 July 2026 to 8 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.
یک ابزاری هست به اسم tl;dv (Too Lazy; Didn't View) که به یک meeting اضافه میشه و خلاصهٔ AI و اینها درست میکنه. یکی به راحتی هکش کرده و میتونسته به هر meetingای جوین بشه. ۶ ماه بعد این که هکش رو disclose کرده، کمپانی هیچ اقدامی در راستای درست کردنش انجام نداده. https://bobdahacker.com/blog/tldv-hack
❤3😁1
این چند وقت، آدم های خیلی بزرگی به بازیکن های اصلی بازی LLMها محلق شدن. خیلی هاشون کمابیش بک گراند کامپیوتری دارن البته؛ ولی خب امثال خانم Askell (پست ریپلای شده) کم نیستن و تعدادشون داره خیلی زیاد میشه یکی از جدیدترین هاشون که اتفاقا خیلی هم دور از انتظار بوده ظاهرا، جناب Jacob Tsimerman هست که همین چند وقت پیش فیلدز بردن و دارن به OpenAI ملحق میشن یه نیمچه مصاحبه ای هم کردن که حال داشتین گوش کنین: https://youtu.be…
❤3
برنامهی کلیک که BBC فارسی درست میکنه هم باهاشون مصاحبه کرده برای ما احتمالا دلچسب تره؛ به زبون خودمون صحبت میکنن، به رسمی بودن ویدیوهای قبلی نیست، راحتتر و دوستانهتر هست نمیخواییم (دور از جونش) ایشون هم مثل میرزاخانی بشه؛ تا هست قدرش رو کلی بدونیم و کلی از کاراش لذت ببریم :) https://youtu.be/O_T_P6o6sRc
🔥4🥴1
🐈⬛️ Learning Theory Circle — Session 1 We're starting a biweekly reading group on the theory of deep learning. Every other Sunday, one person presents one paper — their own work or someone else's — followed by open discussion. 🗓 Sunday, Aug 2 · 7:00 PM (Tehran, UTC+3:30) 🎤 Erfan Sobhaei — Sharif University of Technology 📄 "A Modern Take on the Bias–Variance Tradeoff in Neural Networks" Why start here: the textb…
❤2🎃1🔥1
(سه از سه) مقالهی PackNet یکی از معروفترین روشهای parameter isolation برای continual learning هستش. خیلی خلاصه، بعد از یادگیری هر تسک، وزنهای کماهمیت شبکه رو prune میکنه و وزنهای مهم رو نگه میداره. بعد برای یادگیری تسکهای جدید فقط از وزنهای آزاد استفاده میکنه؛ در نتیجه هر تسک روی بخش جداگانهای از شبکه یاد گرفته میشه و forgetting تا حد خیلی زیادی کاهش پیدا میکنه. لینک مقاله: https://arxiv.org/pdf/1711.05…
❤2
من به شدت از این جلسات عرفان لذت بردم و به همه پیشنهاد میکنم دست کم یک جلسه رو، از اول تا آخر دنبال کنید. امروزه دیگه فهمیدن (یا بهتر بگم نفهمیدن) مشکل نیست؛ هر چیزی که متوجه نمیشید میدید به GPT و Claude و فک و فامیلش و متوجه میشید؛ تا جایی هم که لازمه سوال پیچش میکنید؛ دیگه توی دنیای امروز، bottleneck داشتن معلم خوب و وجود اطالاعات نیستش، بلکه همت خود ماهاست (حالا منم همچین کوه همت و علم و دانش نیستم؛ همه با هم یاد …
❤6🆒1
تیم ملی المپیاد هوش مصنوعیمون دارن راهی آستانهی قزاقستان میشن و به رسم هر سال، یه چنل سفرنامه دارن؛ اگر دوست دارید پیگیرشون باشید، میتونید توی چنلشون عضو شید: https://t.me/ioai26
❤3🔥1
Photo, posted without a caption
🤓2👾1
من پادکست dwarkesh رو خیلی دوست دارم. تا الان هم ندیدم ازش بد بگن (برعکس چیزی مثل Diary of a CEO که کامنت سکشن خودش میدون نبرده و همه میتازن بهش) یکی از ایدههای خیلی قشنگی که تازگیها پیاده کرده، این هست که از آدمها میخواد روی یک black board، صحبت کنن و حرف هاشون رو بنویسن؛ یه کلاس درس شخصی با بزرگان علم! این قسمتش که پایین گذاشتم خیلی جذابه به چند علت: ۱. مهمونش (Adam Brown) خیلی تند انگلیسی حرف میزنه و خیلی جذ…
🔥2
شایان اویس قرن (که البته بعضی جاها اویس غرن یا حتی اویس غران نوشتن - به انگلیسی Oveis Gharan) برندهی جایزهی Abacus شد. به طور خیلی خیلی خیلی خلاصه، جایزه رو 4 سال یک بار به یک پژوهشگر/دانشمند در زمینهی علوم کامپیوتر اهدا میکنن و مثل فیلدز دنیای کامپیوتر میمونه. برای ما اتفاق جالب و خوشحال کنندهای هست و ارزش داره یه کمی درمورد کارهای ایشون بخونیم: 1- ویدیوی معارفهی ایشون که خود Simons Foundation منتشر کرده 2- …
❤4🔥2
حالا که جام جهانی تموم شد، میشه درمورد این فکر کرد که چه قدر Opta خوب/بد عمل کرد
لوگوی کارخونه هوش مصنوعی خیلی شبیه به Anthropic هست یا من اینجوری میبینمش؟ (رنگشم نزدیکه حتی!) من درمورد خود کارخونه مصنوعی هیچی نمیگم، نه میشناسمشون، نه اصلا میدونم، هیچی؛ نه تایید میکنم، نه تخریب نه هیچی دوس داشتین برین بخونین چی کار دارن میکنن
🥴2👍1🤔1
Showing the 12 most recent of 20 posts we hold for @shayanshahrabi_channel. 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.
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 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.
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.
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“Shayan Shahrabi-Farahani” (@shayanshahrabi_channel), 160 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/shayanshahrabi_channel.
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.