چند روزی هست دانشگاه Stanford دوره Self Improving AI Agents رو شروع کرده، اگر علاقه دارید استفاده کنید. لینکش: https://www.youtube.com/playlist?list=PLangBM27OtEA
🔥5

Channel
@ai_natives
On this record: Growth · Engagement · Reactions · Posts · Polls · Cite this entry
2,502subscribers
+34 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002062996647 |
|---|---|
| Type | Channel |
| Username | @ai_natives |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/ai_natives |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 21:53 | 2,502 | +6 |
| 27 Aug 2026, 20:13 | 2,496 | +7 |
| 24 Aug 2026, 20:27 | 2,489 | -7 |
| 21 Aug 2026, 02:53 | 2,496 | +4 |
| 17 Aug 2026, 16:27 | 2,492 | +9 |
| 14 Aug 2026, 01:07 | 2,483 | +5 |
| 11 Aug 2026, 01:58 | 2,478 | +7 |
| 7 Aug 2026, 20:33 | 2,471 | +3 |
| 7 Aug 2026, 16:47 | 2,468 | first reading |
20 posts held, back to 10 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 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 6 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (10 July 2026 – 7 August 2026) |
| Views total | 3,668 |
| Reactions total | 47 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:47 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.
91 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 44.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 40 | 44.0% | |
| 👍 | 30 | 33.0% | |
| 🔥 | 12 | 13.2% | |
| 🙏 | 4 | 4.40% | |
| 👌 | 3 | 3.30% | |
| 🥰 | 2 | 2.20% |
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 14 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 91reactions 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 10 July 2026 to 7 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.
چند روزی هست دانشگاه Stanford دوره Self Improving AI Agents رو شروع کرده، اگر علاقه دارید استفاده کنید. لینکش: https://www.youtube.com/playlist?list=PLangBM27OtEA
🔥5
برای دوستانی که تازه به کانال اومدن: 1. اگر تازه میخواید وارد دنیای هوش مصنوعی بشید، پیشنهاد میکنم اول این ویدئو رو ببینید. https://www.youtube.com/watch?v=0kQmytBX9Rc&list=PLFf9tFmijLOE توی این ویدئو درباره نقشهای اصلی این حوزه مثل Data Scientist، ML Engineer، AI Engineer و همچنین نقشهای پژوهشی صحبت کردم و تفاوتها، مسئولیتها و مسیر هر کدوم رو توضیح دادم تا از همون ابتدا دید بهتری نسبت به این حوزه داشته باشی…
❤10
شما روی ساخت و طراحی ایجنتها کار میکنید؟ (چه یادگیری و چه کار تخصصی)
Shares as published. No per-option vote count is published by Telegram, so none is shown.
حرفی که خیلی تو ذهنم بود ولی حالشو نداشتم پست بنویسم براش: این روزا خیلیا با یه دوره N8N میخوان بهت بقبولونن که دیگه متخصص هوش مصنوعی شدی ولی نه n8n فقط یه ابزار اتوماسیونه نه یه میان بر برای یادگیری هوش مصنوعی با n8n یاد میگیری چطوری چندتا مدل هوش مصنوعی رو کنار هم بچینی و باهاشون کار کنی همین چند تا نود میکشی به هم وصلشون میکنی و یه ورکفلو قشنگ تحویل میدی ولی اینکه یه مدل چطوری آموزش میبینه چرا گاهی خرابکاری می…
👍6❤2👌1
این مورد دوم، "To raise VC's funds"، خیلی جالبه. خیلی از شرکتهای اروپایی رو میبینم که یک ایجنت ساختن، کلی ویدئو و دمو ازش منتشر کردن، اما وقتی وارد سایتشون میشم نوشتن: "Sign up for the waiting list". حتی داخل همون ویدئوها هم باگهای واضحی دیده میشه. برای من این سؤال پیش میاد که آیا واقعاً هدفشون ساختن یک ایجنت آماده برای استفاده هست، یا بیشتر برای بالا بردن شانس جذب سرمایه و جلب توجه VCها این کار را انجام دادن؟…
👍4❤1
خیلی دنبال یه منبع خوب برای یاد گرفتن LangGraph گشتم؛ از دوره و ویدیو گرفته تا ریپوهای مختلف. آخرش به این داکیومنت رسیدم. به نظرم از خیلی از منابعی که دیدم بهتره، گفتم اینجا هم باهاتون به اشتراک بذارم. https://www.luochang.ink/dive-into-langgraph-en/quickstart/ .
❤4🙏4
برای جوونا ❤️
❤10
Photo, posted without a caption
خودمونم قبلا ویدئو راجع بهش درست کردیم به همراه کد در پایتون. اگر ندیدن ببینیدش. مخصوص پروداکشن.
🥰1
این ویدئو خیلی جالب و با انیمشن میاد مسیری که یک پرامپت در vLLM طی میکنه رو نمایش میده. https://www.youtube.com/watch?v=yHAcgyntYDQ
🥰1
یک نکته کاربردی: داشتم یه دوره میدیدم. مدرس با اعتمادبهنفس کامل میگفت باید توی ایجنتهامون حتما از Reflection استفاده کنیم تا جواب دقیقتری بگیریم. خب اینکه Reflection میتونه دقت رو بیشتر کنه، حرف درستیه... ولی به چه قیمتی؟ یعنی یه حلقه بذاریم که ایجنت مدام خودش رو بررسی کنه تا بالاخره به جواب درست برسه؟ پس هزینه توکنها چی؟ زمان پاسخگویی چی؟ اگر همزمان چند تا کاربر از ایجنت استفاده کنن، این تأخیر و هزینه چ…
👍7❤2👌2
تا امروز هرچی بیشتر با AI Agentها کار کردم، بیشتر به این نتیجه رسیدم که یکی از بدترین ایدهها برای یک پروژه Enterprise، ساخت Data Analyst Agent هست. البته برای آموزش و یادگیری فوقالعاده هست. خودم هم چنین پروژهای انجام دادهام و برای یاد گرفتن مفاهیمی مثل Tool Calling، RAG و Agent Workflow تجربهی خیلی خوبی بود. اما وقتی صحبت از دنیای واقعی و Enterprise میشه داستان کاملاً فرق میکنه. مشکل فقط وصل شدن به دیتاسورسه…
👍10❤1
Showing the 12 most recent of 20 posts we hold for @ai_natives. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
شما روی ساخت و طراحی ایجنتها کار میکنید؟ (چه یادگیری و چه کار تخصصی)
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 20 most recent posts we hold, published 10 July 2026 to 7 August 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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“پادکست هوش مصنوعی | AI Natives” (@ai_natives), 2,502 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/ai_natives.
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.