Channel
@mosi_ahmadi_ai
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
223subscribers
+90 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003749024123 |
|---|---|
| Type | Channel |
| Username | @mosi_ahmadi_ai |
| Created | Between 1 February 2026 and 30 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 14 September 2026 |
| On Telegram | t.me/mosi_ahmadi_ai |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Sept 2026, 01:42 | 223 | +7 |
| 5 Sept 2026, 22:18 | 216 | +57 |
| 27 Aug 2026, 21:25 | 159 | +14 |
| 21 Aug 2026, 09:56 | 145 | +4 |
| 14 Aug 2026, 00:07 | 141 | +8 |
| 9 Aug 2026, 00:16 | 133 | no change |
| 7 Aug 2026, 03:16 | 133 | first reading |
20 posts held, back to 20 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 27 July 2026. An engagement rate over an empty window would be a number about nothing.
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.
162 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 108 | 66.7% | |
| 👍 | 29 | 17.9% | |
| 🤣 | 19 | 11.7% | |
| 🙏 | 6 | 3.70% |
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 20 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 162 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 20 July 2026 to 27 July 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.
به این موضوع فکر کنید که حتی یک نوزاد با ذهن خالی به دنیا نمیاد؛ از همون ماههای اول زندگیش یک مدل جهان ابتدایی داره؛ یعنی انتظار داره وقتی یک شی به لبهی میز میرسه، به سمت پایین سقوط کنه، نه بالا یا اطراف. همین ایده مدل جهان را وقتی وارد رباتیک کردن تحول آفرین شد و رباتها از "باید همهچیز رو با تجربهی مستقیم و پرتکرار یاد بگیرم" به "میتونم پیامدها رو پیشبینی و برنامهریزی کنم" حرکت کردن.
❤4👍1
در هوش مصنوعی ایده "نمونهی ذهنی" معادل روشی به اسم Prototypical Networks هست. مدل برای هر مقوله یک بردار میانگین (پروتوتایپ) در فضای embedding میسازه و نمونههای جدید رو با سنجش فاصله از این پروتوتایپها طبقهبندی میکنه. همون کاری که به گفتهی راش ذهن ما با «پرندهی نمونه» انجام میده. قیاس جالب دیگه ای هم هست؛ مفهوم مدل جهان (world model) که یان لی کان روش تأکید زیادی داره؛ اونجا به جای طبقهبندی، عامل هوشمند ی…
❤4
کلمات کلیدی فصل نهمِ کتاب روانشناسی شناختی گلدشتاین Concept → مفهوم Category → مقوله/دسته Categorization → مقولهبندی Prototype → نمونهی اولیه Exemplar → مصداق/نمونه واقعی Typicality effect → اثر نمونهواری Hierarchical organization → سازماندهی سلسلهمراتبی Semantic network → شبکهی معنایی Cognitive economy → صرفهجویی شناختی Connectionism / PDP → ارتباطگرایی / پردازش موازی توزیعشده Spreading activation → گسترش …
❤6
ذهن ما، یک پرندهی نمونه داخل خودش داره؛ یعنی وقتی با یک پرندهی جدید روبرو میشیم، ناخودآگاه اون رو با این نمونهی ذهنی میسنجیم و تصمیم میگیریم چقدر «پرنده»ست. در این فصل دربارهی دانش مفهومی صحبت میشه؛ یعنی ذهن ما چطور چیزها رو دستهبندی میکنه. اینکه چرا رویکرد تعریفی شکست میخوره، چون خیلی از اعضای یک مقوله با تعریف دقیق جور در نمیآن، پس ویتگنشتاین ایدهی شباهت خانوادگی رِ مطرح مینمایه. راش (Rosch) نشون داد ذ…
❤4
کارهای جولیا شاو دقیقاً روی همین محور اصلی فصله؛ در کتاب مشهورش The Memory Illusion نشون میده چطور میشه خاطرات کاذب رو در ذهن یک نفر "کاشت". نه فقط خاطرات معمولی، بلکه خاطرات ارتکاب جرمی که واقعاً اتفاق نیفتاده. شاو با فشار اجتماعی و تکنیک تصویرسازی هدایتشده، تونست ۷۰٪ از شرکتکنندهها رو متقاعد کنه که یه جرم کاملاً ساختگی رو مرتکب شدن.
❤3
کلمات کلیدی فصل هفتم قسمت دومِ کتاب روانشناسی شناختی گلدشتاین: Autobiographical memory = حافظه اتوبیوگرافیک/خودزندگینامهای Reminiscence bump = برجستگی یادآوری Constructive nature of memory = ماهیت سازندهی حافظه Source monitoring error = خطای منبعیابی حافظه Misinformation effect = اثر اطلاعات نادرست Flashbulb memory = حافظه فلاشبولب Eyewitness testimony = شهادت شاهد عینی Anterograde/Retrograde amnesia = فراموشی …
❤4
حافظه، بیشتر راوی یا قصه گو هست تا یک مورخ دقیق. هر بار که به حافظه مراجعه میکنیم روایت را تاحدی تغییر میده، گاهی اغراق میکنه بعضی صحنه ها رو و گاهی هم سعی میکنه کمرنگ کنه بعضی اتفاقات رِ. حافظه اتوبیوگرافیک چند بُعدیه و برخی رویدادها مثل نقاط عطف زندگی یا اتفاقات پراحساس بهتر یادمون میمونه؛ دوران نوجوانی و جوانی هم به خاطر "برجستگی یادآوری" خاطرات پررنگ تری دارند. حافظه اصولاً سازنده است، و به هیچ وجه شبیه فیلم گرف…
❤3👍2
فصل هفتم قسمت دومِ کتاب روانشناسی شناختی گلدشتاین chapter7_part2_Principles of Long-Term Memory Retrieval and Consolidation
❤10👍1
فصل هفتم قسمت اولِ کتاب روانشناسی شناختی گلدشتاین chapter7_part1_Mechanisms of Long-Term Memory From Encoding to Effective Retrieval
❤10👍1🙏1
فصل هفتمِ کتاب روانشناسی شناختی گلدشتاین این فصل فرآیندهای رمزگردانی، بازیابی و تحکیم در حافظه بلندمدت را بررسی میکند. طبق نظریه سطوح پردازش، رمزگردانی عمیق و معنایی به همراه روشهایی مثل خودآزمایی (اثر آزمون)، سازماندهی و فاصلهگذاری (عدم فشردگی مطالعه)، یادگیری و ماندگاری اطلاعات را به شکل چشمگیری تقویت میکنند. بازیابی اطلاعات زمانی موفقتر است که نشانههای بازیابی موجود باشد و شرایط محیطی یا درونی فرد با زمان…
❤8👍1
File, posted without a caption
❤6
این اینفوگرافیک مربوط به این بخش هست فصل پنچم بخش دوم از کتاب روانشناسی شناختی گلدشتاین
👍3🙏3
Showing the 12 most recent of 20 posts we hold for @mosi_ahmadi_ai. 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.
Named by 1 registered channel — 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.
@mosi_ahmadi_ai 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.
References a handle that is not a live channel — we have no record it ever was one.
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 14 September 2026 — this entry's latest reading, not the date you are reading this.
“Mosi” (@mosi_ahmadi_ai), 223 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/mosi_ahmadi_ai.
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.