Education — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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.
Growth
7 measurements spanning 49 days, net -21. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 574–601 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
24 Sept 2026, 23:18
577
-9
12 Sept 2026, 12:16
586
-4
4 Sept 2026, 20:57
590
-4
20 Aug 2026, 16:19
594
-1
13 Aug 2026, 13:58
595
-3
7 Aug 2026, 00:47
598
no change
7 Aug 2026, 00:33
598
first reading
Engagement
19 posts held, back to 24 November 2025 — 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 19 posts for this entry, the most recent from 31 May 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
175 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 60.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
105
60.0%
👍
66
37.7%
🙏
2
1.14%
👏
1
0.571%
🤯
1
0.571%
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 18 of the 19 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 175 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 24 November 2025 to 31 May 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.
🟢 دسترسی رایگان پرسنل سازمانها به محتوای آموزشی مکتبخونه
🌱 مکتبخونه و جابویژن در قالب طرح مشترک «برای آنکه یادگیری متوقف نشود»، امکان استفاده رایگان یکماهه از سرویس آموزش سازمانی مکتبخونه و دسترسی به بیش از ۳۵,۰۰۰ ساعت محتوای آموزشی را برای تیمها و سازمانها فراهم کردهاند.
⌛️مهلت ثبت درخواست برای استفاده از این طرح، تا ۱۵ خرداد ماه است.
https://mktb.me/tpvp/
@avangcast1
🌺🌺 آزمون سواد هوش مصنوعی🌺🌺
در لینک زیر به ترجمه اختصاصی پادکست آونگ از یک آزمون معتبر بینالمللی برای سنجش سواد هوش مصنوعی خود دسترسی دارید.
با شرکت در آزمون وضعیت خود را بسنجید و چنانچه این پست برایتان جالب بود آن را برای دوستان خود نیز بفرستید.
📝 آزمون ۲۰ سؤالی سواد هوش مصنوعی
⏱ زمان: ۱۵ دقیقه
📊 نمایش نمره پس از پایان
🔗 شرکت در آزمون: لینک زیر
https://forms.gle/hUrYuSqaQvaQrPjQ8
@avangcast1
در این قسمت، درباره تعاریف و مصداقهای متنوع سواد دیجیتال صحبت میکنیم. همچنین شاخصهای مختلف سواد هوش مصنوعی را برمیشمریم.
#سواد_دیجیتال
#هوش_مصنوعی
#پادکست
@avangcast1
💠 شواهد اصلی این تحول بزرگ را میتوان با مقایسه باارزشترین شرکتهای جهان در سالهای ۲۰۰۵ و ۲۰۲۵ به وضوح مشاهده کرد. این جابجایی نه تنها در نام شرکتها، که عمدتاً غولهای صنعتی، مالی و نفتی جای خود را به شرکتهای فناوری دادهاند، بلکه در مقیاس ارزشآفرینی آنها نیز مشهود است.
تحلیل این فهرستها یک واقعیت کلیدی را آشکار میسازد: تنها یک شرکت (مایکروسافت) توانسته است جایگاه خود را در هر دو فهرست حفظ کند. این نشاندهند…
✅ در بخشی از گزارشی که موسسه مککینزی در روزهای پایانی سال ۲۰۲۵ با عنوان "نمودارهای سال ۲۰۲۵" منتشر کرده به موضوع صنایع برتر در حوزه فناوریهای مختلف پرداخته است.
طی دو دهه گذشته، چشمانداز صنعتی جهان شاهد تحولی بنیادین بوده است. شرکتهایی که زمانی نماد قدرت اقتصادی بودند، جای خود را به رهبران جدیدی دادهاند که قواعد بازی را از نو نوشتهاند. بر اساس دادههای سال ۲۰۲۵، ترکیب باارزشترین شرکتهای جهان به شکلی ریشهای د…
در این قسمت با ذکر مثالهایی متعدد از همگرایی فناوریهای مختلف به ترسیم نقشه راه آینده در حوزه نوآوری و مهندسی میپردازیم.
#فناوریهای_همگرا
#هوش_مصنوعی
#پادکست
@avangcast1
💠 در لینک زیر میتوانید بهترین تصاویر علمی سال ۲۰۲۵ را از نگاه مجله نیچر مشاهده کنید:
https://www.nature.com/immersive/d41586-025-03935-3/index.html
@avangcast1
📘 هوش مصنوعی: ستون فقرات پژوهش مدرن
در گزارش ۲۰۲۵، هوش مصنوعی تقریباً در همهجا حضور دارد. اما نه بهعنوان یک رشتهی جداگانه. اکنون هوش مصنوعی:
🔹️ در پزشکی، زیستفناوری و تصویربرداری پزشکی
🔹️ در شیمی محاسباتی و طراحی مواد
🔹️ در علوم اجتماعی محاسباتی
🔹️ و حتی در علوم اقلیم و انرژی
نقش زیرساخت پژوهشی را ایفا میکند. گزارش نشان میدهد که بسیاری از جبهههای پژوهشی، نه AI خالص بلکه همگرایی AI با حوزههای دیگر هستند.
📕 زی…
❤6👍5
Showing the 12 most recent of 19 posts we hold for @avangcast1. 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.
Mentions
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.
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.
Cite this entry
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 24 September 2026 — this
entry's latest reading, not the date you are reading this.
“آونگ | avangcast” (@avangcast1), 577 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/avangcast1.
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.