5 measurements spanning 7 days, net -11. 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 2,228–2,243 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 13:17
2,230
-5
9 Aug 2026, 16:22
2,235
-5
6 Aug 2026, 13:22
2,240
-1
6 Aug 2026, 06:02
2,241
no change
5 Aug 2026, 22:02
2,241
first reading
Engagement
9 posts held, back to 20 August 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 2 pagesof 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 9 posts for this entry, the most recent from 22 December 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 07s
Average length
34s
Measured directly from 2 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.
Reaction mix
195 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 40.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
78
40.0%
👍
55
28.2%
🔥
54
27.7%
😱
5
2.56%
👎
1
0.513%
👏
1
0.513%
🙏
1
0.513%
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 9 of the 9 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 195reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 20 August 2025 to 22 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
3
of 9 we hold a reading for · 33%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Explore_AI. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 9 most recent posts we hold for this entry, published 20 August 2025 to 22 December 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
اول دسامبر پارسال، هیچ مدل خوبی از جمنای وجود نداشت (روی نسخه ۱.۵ بودیم که میگفتیم افرین داره تلاشش رو میکنه!)، هیچ مدل تصویرسازی که بتواند متن را درست در تصویر درج کند وجود نداشت، هیچ مدل ویدیویی باکیفیتی نبود، خبری از Deepseek R1 نبود، مدل o1 تازه با قابلیت «استنتاج در زمان تست» عرضه شده بود، امتیاز FrontierMath دو درصد بود نه ۴۱ درصد، و هیچ مدلی در HLE به ۱۰ درصد نرسیده بود...
اینها را عرض کردم تا بتوانید برای سا…
🔥 تفاوت ۶ تا ۱۷ برابری! راز بهرهوری«کاربران حرفهای» هوش مصنوعی!
در گزارش جدیدی که از OpenAI (سازنده ChatGPT) منتشر شده، نشون میده شکاف بزرگی بین کسانی که «بلدن» با هوش مصنوعی کار کنن و بقیه افراد (کارمندها) وجود داره.
📊 آمار و ارقام عجیب:
1⃣ فاصله ۶ برابری: کاربرهای حرفهای (۵ درصد برتر) نسبت به کاربرهای معمولی، ۶ برابر بهرهوری بیشتری دارن.
2⃣ فاصله ۱۷ برابری برای برنامهنویسها: این اختلاف توی کارهای تخصصی…
توییت lmarena.ai در رابطه با جمنای ۳:
(توضیح اینکه: سایت lmarena.ai، معتبرترین پلتفرم برای رتبهبندی مدلهای هوش مصنوعی هست. در این سایت، کاربران بهصورت ناشناس با دو مدل مختلف چت میکنن و برنده [پاسخ بهتر] رو انتخاب میکنن. رتبهبندیهای این سایت به عنوان «استاندارد طلایی» برای سنجش قدرت واقعی هوش مصنوعی در دنیا شناخته میشه.
ترجمه توییت:
مدل Gemini-3-Pro از تیم گوگلدیپمایند حالا در تمام لیدربوردهای (جداول ردهب…
رشته توییت حساب کاربری جمنای در توییتر (X) در مورد معرفی جمنای ۳ گوگل:
توییت اول:
مورد انتظارترین عرضه سال ما اینجاست.
- جمنای ۳ (Gemini 3)، هوشمندترین مدل ما
- رابطهای کاربری مولد، برای پاسخهایی با طراحی بینقص
- ایجنت جمنای، ساختهشده برای انجام کارهای پیچیده از طرف شما
ببینید جمنای ۳ چطور میتونه بهتون کمک کنه یاد بگیرید، بسازید و برای هر چیزی برنامهریزی کنید 🧵
توییت دوم:
غول هوش مصنوعی.
جمنای ۳ استاند…
🚀 انتشار جدیدترین مدل هوش مصنوعی گوگل: جمنای ۳ پرو
ظاهرا گوگل بیسروصدا از جدیدترین و قدرتمندترین مدل زبانی خودش به اسم Gemini 3 Pro، رونمایی کرده؛ مدلی که به گفته خود گوگل، هوشمندترین ساختهٔ اون تا به امروز هست و دارای پیشرفتهترین (لبه تکنولوژی) توانایی استدلال منطقی SOTA (State-of-the-Art).
ویژگیهای مدل زبانی جمنای ۳ پرو:
🧠 درک چندوجهی (Multimodal): درک و تحلیل انواع دادهها از جمله متن، تصویر، صدا، ویدیو و کد…
👨💻 مدل Grok Code Fast 1؛ تازهترین مدل xAI برای برنامهنویسها
شرکت xAI (شرکت هوش مصنوعی ایلان ماسک) از جدیدترین مدل خودش به نام Grok Code Fast 1 رونمایی کرده؛ مدلی که مخصوص کارهای کدنویسی ساخته شده و از ۲۸ آگوست ۲۰۲۵ بهطور عمومی در دسترسه.
💬 ویژگیهای مدل Grok Code Fast 1
✔️ معماری سبکوزن و بهینه، آموزشدیده با دیتای غنی کدنویسی
✔️ سرعت خارقالعاده: تا ۱۶۰ توکن در ثانیه!
✔️ قیمت اقتصادی (خیلی ارزونتر از …
🍌🤖 موزِ نانو! موز مرموز دنیای هوش مصنوعی
چند هفتهای بود همه جا حرف از یه مدل ناشناس بود که توی رقابتهای LMArena (مرجع مقایسه مدلهای مختلف هوش مصنوعی) سر و صدا کرده بود:
— رتبه ۱ ویرایش تصویر
— رتبه ۱ تبدیل متن به تصویر
خروجیهای این مدل، اونقدر قوی و متفاوت بود که اسمش سر زبونها افتاد: Nano Banana.
حدس و گمانهایی بود که این مدل، آیا وابسته به یک شرکتِ بزرگ هست یا توسط یک تیم کوچک در حال توسعه هست؟
امرو…
اگر شما هم از افرادی بودید که Google AI Pro دانشجویی (شامل Gemeni Pro و کلی امکانات دیگه مثل NotebookLM Plus و ...) رو گرفته بودید (حدود ۳ ماه پیش)؛ ظاهرا کمتر از یکماه (۲۲ سپتامبر ۲۰۲۵ | ۳۱ شهریور ۱۴۰۴) فرصت دارید که تایید کنید دانشجوی محصل در آمریکا هستید تا این اشتراک یکساله مجانی قطع نشه.
هنوز راه حل درست حسابی برای وریفای کردن دانشجویی پیدا نشده. اگه پیدا بشه اطلاعرسانی میکنم.
🖥 @Explore_AI
🎧 تولید پادکست علمی با هوش مصنوعی!
چندماهی هست دارم یک پادکست با موضوع علمی (بیشتر در حوزه علوم زیستی شامل زیستشناسی، بیوتکنولوژی، مهندسی ژنتیک و ...) برای افراد غیرمتخصص، با استفاده از چند هوش مصنوعی تولید میکنم. البته همه روند با AI نیست، و بخشهایی رو دستی انجام میدم که مطابق چیزی که مد نظرم هست تولید بشه و خیلی ماشینی نباشه!
منابع استفاده شده برای این پادکست، بخش اخبار وبسایت معتبر Nature هست که روی جدیدترین …
❤18🔥8👍4
Showing the 9 most recent of 9 posts we hold for @Explore_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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 542,277 of 1,160,990entries 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.
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 3 registered channels — 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“کاوش در دنیای هوش مصنوعی” (@Explore_AI), 2,230 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Explore_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.