Channel
@a_can_of_ai_beans
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
69subscribers
+0 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003264149944 |
|---|---|
| Type | Channel |
| Username | @a_can_of_ai_beans |
| Description | نوشتههای محمدرضا رضائی در مورد هوشمصنوعی |
| Created | Between 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/a_can_of_ai_beans |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 02:00 | 69 | no change |
| 12 Aug 2026, 01:47 | 69 | first reading |
20 posts held, back to 23 May 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. It is computed over the 7 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (23 May 2026 – 8 August 2026) |
| Views total | 1,657 |
| Reactions total | 31 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 02:00 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.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 1 video 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.
38 reactions across 11 posts, in 8 distinct kinds. The most used accounts for 60.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 23 | 60.5% | |
| ❤ | 6 | 15.8% | |
| 🤣 | 4 | 10.5% | |
| 👎 | 1 | 2.63% | |
| 🔥 | 1 | 2.63% | |
| 😱 | 1 | 2.63% | |
| 🤔 | 1 | 2.63% | |
| 🤷♂ | 1 | 2.63% |
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 11 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 38reactions 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 23 May 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.
محصولِ من، فرزندِ من امروز با رئیس سابقم تلفنی صحبت میکردم. میگفت پروژهای که مدت زیادی روی آن وقت گذاشته بودم اخیرا به کاربران واقعی عرضه شده و ذینفعان از عملکرد آن راضی هستند. چون این محصول، یک محصولِ مبتنی بر هوشمصنوعی بود، کارِ تیم هوشمصنوعی در مرکز این محصول قرار داشت و بقیهی تیمها حولِ آن فعالیت میکردند. این باعث شده بود که این محصول را نه مثل یک پروژه، بلکه مثل یک فرزند دوست داشته باشم. هرچند موفقیت…
❤4
به تبعات تصمیماتمون بیشتر فکر کنیم... فرضا من اومدم و با جعل هویت یه فرد دیگه، استخدام شدم. بالاخره بعد از مدتی (مثلا 5 سال) یه جوری لو میره که من اون آدمی که ادعا کردم نیستم. شاید بگید خب اون مدت از حقوق بینالمللی برخوردار بودی و اتفاق بدی نیوفتاده. درسته؟ اما یکم اگه از بالا به مساله نگاه کنیم این مشکل رو میبینیم: شرکتهای بینالمللی کم کم متوجه این قضیه میشن. به هر کسی که قیافه یا لحجهاش به ایرانیها میخوره…
👍5
اینو شاید بیشتر آدمهایی که تجربهشون توی AI بیشتر از این 4-5 سال اخیر باشه، قبول داشته باشن. (از جمله خودم) اما حقیقت تلخ اینه که، این اصلا مهم نیست که ما چه چیزی رو خوب میدونیم و چه چیزی رو بد. مهم اینه که صنعت به سمت چه چیزی کشش نشون میده. علمی که به عمل ختم نشه، فایدهای هم نداره. (فکر کنم از این جمله کاملا مشخصه نظرم نسبت به وضع فعلی آکادمی در ایران و بسیاری از دانشگاههای جهان چیه!) و در حال حاضر، در ایران، …
👍6
Photo, posted without a caption
ببینید دنیا چقدر برای آدم چلنج ایجاد میکنه... اگه انگیزه و استمرارت ذرهای کم بشه احتمالا جا میزنی. اما کسی که برای ثبت کردن یه مقالهی آکادمیک اینقدر ریجکت میشه، ولی کوتاه نمیاد و همچنان ادامه میده، هی تلاش و تلاش و تلاش میکنه (با فرض اینکه تلاشش در راستای دیوار نباشه) حتما بالاخره بر همهی موانع زندگیش غلبه میکنه. حالا آدمی که این برش گذشته، یکی از دوستان منه که ذرهای در سوادش شک ندارم و نخونده میدونم حرفی …
👍4
داستان Complexity OoD آذرماه ۱۴۰۲، نوبت ارائه من در آزمایشگاه بود. اون موقع زیاد حال و حوصله نداشتم و از دکتر سلیمانی درخواست کردم عوض ارائه مقاله بیام از خودم حرف بزنم و نظراتم رو نسبت به یک مساله ای بگم. دکتر قبول کرد و من هم نشستم کمی فکر کردم و به صورت دلی یک ارائه درست کردم. عنوان ارائه رو هم گذاشتم System-1 is Dead, Long Live System-2. حرفی که داشتم این بود که مسائل سیستم ۱ حل شده اند و باید به سیستم ۲ پرداخت …
😱1
تا 2-3 سال قبل، بیشتر گفتوگوهایی که با صاحبان شرکتها و کسبوکارها داشتم، قالبی مثل «میتونید مشکل x رو با استفاده از هوشمصنوعی حل کنید، این مزایا رو میتونه براتون داشته باشه.» داشت. اما حالا با hype شدن LLMها و اکوسیستمی که حول این حوزه شکل گرفته (RAG, Agentic, VibeCoding)، بیشتر و بیشتر لازم میبینم بگم: «برای حل مشکل y، بهتره از هوشمصنوعی استفاده نکنید، این معایب رو خواهد داشت.» و جالبه که در هر دو مورد با…
👍5
«Wow! LLMs are very intelligent!» . . . In the meantime, LLMs:
🤣4🤔1🤷♂1
از معایب خودروهای برقی 😂
رگولاتوری زیادی شاید برای بیشتر ما که در ایران کار کردیم، رگولاتوری رو چیز بسیار محدودی بدونیم که 4 تا قانون کلی هست که باید رعایت کنیم و خلاص. اما در اروپا اوضاع فرق میکنه. دولتها قوانین تصویب میکنن که کسبوکارها رو توی دردسرهای زیادی میندازه. یکی از این قوانین، GDPR هست که محدودیت ذخیرهسازی دادههای ملت رو اعمال میکنه. کسبوکارها حق ندارن دیتا رو هرجور دلشون خواست نگه دارن. باید به صورت فیزیکی داخل اون zo…
معرفی کتاب «عدد، زبان علم» اثر مرحوم توبیاس دانتزیگ ترجمهی فارسی این کتاب رو زمانی که نوجوان دبیرستانی بودم پدرم بهم معرفی کرد و یکی از دلایل علاقمند شدنم به ریاضیات همین کتاب بود. البته این کتاب به دنبال تدریس ریاضیات نیست، بلکه معرفی تاریخچهای از تحولات بنیادین ریاضیات است و خوندنش برای مخاطب غیر فنی-مهندسی هم کاملا آسونه. اگه نوجوانی میشناسید که استعداد ریاضیاتی داره، و نگران هستید که سیستم آموزشی معیوب مملکت…
❤2
روش جدید کلاهبرداری برای کاریابی همیشه چنین پیشنهادهایی وجود داشتن، خصوصا برای افرادی که دنبال کار ریموت میگردن. کارهای غیر شرافتمندانهای که حداقل یه آدم حرفهای برای حفظ شخصیت خودش باید ازشون اجتناب کنه. اینا یه تیم میسازن که خوب بلد باشه در حوزههای مختلف مصاحبه کنه، بعد به آدمهای جویای کار در شرکتهای خارجی، خدمات مصاحبه میدن. مثلا به جای اون شخص مصاحبه میکنن و از مصاحبهی آنلاین و تسک و ... ردش میکنن، و…
👎1
Showing the 12 most recent of 20 posts we hold for @a_can_of_ai_beans. 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 — 1,146,495 of 1,481,217entries 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“A Can of AI Beans” (@a_can_of_ai_beans), 69 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/a_can_of_ai_beans.
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.