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Channel

آکادمی ربوتک

@robotech_academy

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

4,027subscribers

-4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001059894682
TypeChannel
Username@robotech_academy
CreatedBetween 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 September 2026
Measurements held10
Confirmed unchanged2 times, most recently 4 September 2026
On Telegramt.me/robotech_academy

Growth

4,0204,0314,025.56 August 2026 — 4,031 subscribers7 August 2026 — 4,026 subscribers10 August 2026 — 4,023 subscribers13 August 2026 — 4,024 subscribers16 August 2026 — 4,020 subscribers19 August 2026 — 4,026 subscribers22 August 2026 — 4,030 subscribers26 August 2026 — 4,029 subscribers29 August 2026 — 4,026 subscribers31 August 2026 — 4,027 subscribers4,0276 August 202631 August 2026
10 measurements spanning 25 days, net -4. 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 4,018–4,033 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 21:034,027+1
29 Aug 2026, 05:044,026-3
26 Aug 2026, 04:244,029-1
22 Aug 2026, 20:474,030+4
19 Aug 2026, 16:534,026+6
16 Aug 2026, 17:534,020-4
13 Aug 2026, 06:554,024+1
10 Aug 2026, 14:244,023-3
7 Aug 2026, 19:064,026-5
6 Aug 2026, 23:334,031first reading

Engagement

21 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.79%
avg views ÷ 4,027 subscribers
Avg views / post
354
1 post measured
Reaction rate
0.565%
reactions ÷ views · ER floor
Posts in window
1
of 21 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held21 (20 July 20267 August 2026)
Views total354
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:42 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.

Reaction mix

129 reactions across 21 posts, in 4 distinct kinds. The most used accounts for 62.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8062.0%
4131.8%
🔥64.65%
🙏21.55%

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 21 of the 21 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 129 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 20 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.

Recent posts

7 Aug 2026, 06:10 UTC354 views2 reactionsread 8 August 2026

لینک شرکت در گفت و گو :‌ https://meet.google.com/drv-tsey-nhh جلسه ساعت ۱۰ صبح شروع میشه و یک ساعت ادامه خواهد داشت.

1🔥1

6 Aug 2026, 08:39 UTC403 views6 reactionsread 8 August 2026

اطلاع رسانی جلسه گفت و گو : فردا ساعت 10 صبح و به مدت 1 ساعت. اگر سوالی دارید در مورد Agent ها و آینده و هوش مصنوعی و ... میتونید توی این جلسه مطرح کنید. لینک جلسه قبل از شروع در کانال آکادمی اطلاع رسانی خواهد شد. @robotech_academy

6

5 Aug 2026, 17:56 UTC472 views6 reactionsread 8 August 2026

حجم اخبار و اتفاقات دنیای هوش مصنوعی به معنی واقعی کلمه دیوانه کننده است. واقعا هفته ای نیست که مدلی ارایه نشه. رقابت بسیار شدید هست. تا ببینیم که این مسیر به کجا خواهد رسید. @robotech_academy

👍6

5 Aug 2026, 16:33 UTC468 views4 reactionsread 8 August 2026
Photo

آخرین اخبار دنیای هوش مصنوعی |بازگشت مرد شماره ۱ تاریخ : ۱۴ مرداد ۱۴۰۵ https://www.youtube.com/watch?v=Ka6RULpxlfI @robotech_academy

🔥21👍1

3 Aug 2026, 17:35 UTC564 views5 reactionsread 8 August 2026

آخرین اخبار دنیای هوش مصنوعی | اولین نشانه ها از GPT-6 تاریخ : ۱۲ مرداد ۱۴۰۵ https://www.youtube.com/watch?v=3PXrkoHAMjk @robotech_academy

👍41

2 Aug 2026, 13:30 UTC662 views6 reactionsread 8 August 2026

توی همین ویدیو توضیح داده شد که DeepSeek-V4-Flash از نظر هوش معادل Gemini Flash 3.6 هست که به تازگی معرفی شده. حالا اگر بخوایم از نظر هزینه توکن خروجی مقایسه کنیم مثل این هست که یه نفر یه جنس رو به شما بده ۱۰ میلیون (Google) و یه نفر دیگه همون جنس رو به شما بده 300 هزار تومان ! اینقدر تفاوت قیمتی دارن این دو و در حالی که از نظر هوش یکی هستند. حالا یه نفر چرا باید به گوگل پول بده ؟ @robotech_academy

6

1 Aug 2026, 16:39 UTC705 views6 reactionsread 8 August 2026

آشنایی با DeepSeek-V4-Flash https://www.youtube.com/watch?v=rghnjnuCpKw توی این ویدیو این مدل رو به شکل مختصر بررسی کردیم و نگاهی به واکنش ها انداختیم. @robotech_academy

👍51

31 Jul 2026, 10:37 UTC759 views2 reactionsread 8 August 2026

البته نکته ای که باید توجه کرد اینه که مدل V4-pro اندازه اش ۱.۶ تریلیون پارامتر هست. اگر Kimi-K3 رو در نظر بگیریم که ۲.۸ تریلیون پارامتر داره و تونسته تا حدی به Fable 5 نزدیک بشه، آیا V4-pro میتونه اون عملکرد رو با ۱.۶ تریلیون پارامتر بدست بیاره ؟! یعنی اندازه مدل اصلا این امکان رو بهشون میده که به اون نقطه برسن ؟! این سوال سختی هست. باید ببینیم چه میشه. @robotech_academy

👍2

31 Jul 2026, 09:31 UTC730 views4 reactionsread 8 August 2026

یکی از هموطنان هم در این توییت به نکته درستی اشاره کرده بود. گفته بود که V4-pro هیجان انگیز تره. وقتی Flash این چنین پیشرفت داره احتمالا باید یه همینجور پیشرفتی هم در V4-pro ببینیم. یعنی احتمالا معادل و چه بسا بهتر از Fable-5 رو خواهیم دید طی یکی دو ماه آینده [و احتمالا با یه قیمت های به مراتب پایین تر !] این انتشار به نظرم Anthropic و OpenAI رو نگران تر خواهد کرد. @robotech_academy

👍4

31 Jul 2026, 09:21 UTC670 views6 reactionsread 8 August 2026
Photo

✅شرکت DeepSeek از DeepSeek-V4-Flash-0731 رونمایی کرد که یه رونمایی عجیب و فوق العاده است ! 💎 اول این که این مدل کوچیکه هست از دو تا مدل سری DeepSeek-V4. بزرگه میشه DeepSeek-V4-pro و کوچیکه میشه DeepSeek-V4-Flash . 🔥 حالا عجیب از چه جهت ؟ از این که این آپدیت جدیده برای مدل سری Flash از مدل سری Pro بهتره ! با ◀️ نتایج هم وقتی بررسی میکنیم اصلا یه پیشرفت خیلی عجیب غریبی داخل نتایج داره. کاملا قابل رقابت با GLM-5.2 که

👍42

28 Jul 2026, 14:56 UTC725 views9 reactionsread 8 August 2026
Photo

✅ شرکت SSI یک همکاری استراتژیک بلند مدت با NVIDIA رو اعلام کرد. ⭐️ شرکت SSI همون شرکتی هست که Ilya sutskever بعد از جدایی از OpenAI تاسیس کرد و در این مدت به شکل بسیار محرمانه ای تحقیقات هوش مصنوعی رو پیش میبرد. 💎 شرکت NVIDIA حالا به یه سری تحقیقاتی که SSI انجام میداده دسترسی پیدا کرده و تصمیم به سرمایه گذاری گرفته. این سرمایه گذاری باعث میشه که SSI بتونه توان محاسباتی خودش رو در طی یک سال آینده ۱۰ برابر کنه. 🔥 ای

👍63

27 Jul 2026, 12:05 UTC802 views8 reactionsread 8 August 2026

من دریافتم که بهترین ایده‌ها معمولاً نه زمانی که فرد فعالانه در تلاش برای رسیدن به آن‌هاست، بلکه وقتی به ذهن خطور می‌کنند که در وضعیت آسوده‌تری قرار دارد... من یکشنبه‌ها به پیاده‌روی‌های طولانی و تنهایی می‌رفتم و در طول آن‌ها معمولاً وضعیت جاری را به‌شکلی آرام و بی‌دغدغه مرور می‌کردم. این مواقع اغلب ثمربخش از کار درمی‌آمدند، هرچند هدف اصلی پیاده‌روی استراحت بود، نه تحقیق. پل دیراک - از بنیان گذاران فیزیک کوانتوم ☑️

👍8

Showing the 12 most recent of 21 posts we hold for @robotech_academy. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Machine Learning | یادگیری ماشین
@MachineLearning_ir · 33,936
Telegram ranks this channel #43 of 90 here — alongside 89 others — read 3 September 2026
مکتب‌خونه | Maktabkhooneh
@maktabkhooneh · 34,529
Telegram ranks this channel #46 of 90 here — alongside 89 others — read 3 September 2026
Data Science | علم داده
@DataScience_ir · 49,625
Telegram ranks this channel #47 of 92 here — alongside 91 others — read 25 August 2026
مجله هوش مصنوعی
@HomeAI · 32,769
Telegram ranks this channel #60 of 91 here — alongside 90 others — read 5 September 2026
houshang_academy
@zameeni · 99,003
Telegram ranks this channel #63 of 88 here — alongside 87 others — read 17 August 2026
عصر گویش | هوش مصنوعی
@asrgooyeshpardaz · 100,360
Telegram ranks this channel #66 of 89 here — alongside 88 others — read 24 August 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 31 August 2026 — this entry's latest reading, not the date you are reading this.

“آکادمی ربوتک” (@robotech_academy), 4,027 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/robotech_academy.

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.