" اِلیزایُم "
انجامِ وظیفهیِ اجتماعی از طریق ارتقای سطح دانش جامعه در حوزه هوش مصنوعی
جهت تهیه انواعِ سرویسهایِ هوش مصنوعی میتونید با
@ElizaiumHelp
در ارتباط باشید.
Created
Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
43,900 average views per post against 46,129 subscribers — an engagement rate of 95.2%. Across the 3,487 registered channels in the same cohort — 31,624–99,943 subscribers, posting mainly in Persian — the middle half sit between 2.07% and 10.9%, with a median of 5.03%.
What this was computed from
Window
30 days (5 September 2026 – 5 October 2026)
Posts measured
47 of 47 published in the window (0 exact, 47 rounded by Telegram)
Views totalled
2,064,870
Mature posts only
95.2% over 47 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 5 October 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
37 measurements spanning 61 days, net +480. 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 39,246–47,506 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)
Subscribers
Change
5 Oct 2026, 12:21
46,129
-424
29 Sept 2026, 14:20
46,553
+5,859
18 Sept 2026, 02:55
40,694
-428
16 Sept 2026, 00:19
41,122
-589
14 Sept 2026, 08:36
41,711
-534
12 Sept 2026, 20:40
42,245
-638
11 Sept 2026, 00:57
42,883
-769
8 Sept 2026, 05:01
43,652
-990
5 Sept 2026, 03:02
44,642
+4,443
3 Sept 2026, 09:58
40,199
-521
2 Sept 2026, 02:53
40,720
-338
1 Sept 2026, 01:28
41,058
-272
30 Aug 2026, 22:07
41,330
-417
29 Aug 2026, 20:54
41,747
-379
28 Aug 2026, 20:24
42,126
+201
27 Aug 2026, 19:32
41,925
-157
26 Aug 2026, 17:12
42,082
-238
25 Aug 2026, 14:56
42,320
-184
24 Aug 2026, 17:36
42,504
-139
23 Aug 2026, 05:34
42,643
first reading
Engagement
101 posts held, back to 24 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 114 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
95.2%
avg views ÷ 46,129 subscribers
Avg views / post
43,900
47 posts measured
Reaction rate
0.477%
reactions ÷ views · ER floor
Posts in window
47
of 101 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
Window
Rolling 30 days · latest post in window 2 October 2026
Posts held
101 (24 July 2026 – 2 October 2026)
Views total
2,064,870
Reactions total
9,854
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Oct 2026, 14:15 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.
What this channel posts
Photos
142
Videos
86
Links
172
Lifetime counters from Telegram’s own channel header, read 5 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
41m 51s
Average length
49s
Measured directly from 51 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
27,495 reactions across 99 posts, in 4 distinct kinds. The most used accounts for 95.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
26,143
95.1%
👍
1,077
3.92%
💔
231
0.84%
👎
44
0.16%
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 101 of the 101 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 28,021 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 101 most recent posts we hold, published 24 July 2026 to 2 October 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.
طبقِ مقالهیِ Nieuwerburgh سرمایهگذاری روی زیرساخت AI در آمریکا از ۲۰۲۵ تا ۲۰۳۲ به حدود ۱۰٫۳ تریلیون دلار میرسه؛ یعنی سالی بهطور میانگین ۳٫۶ درصد تولید ناخالص داخلی.
برای اینکه این سرمایه با بازده ۱۰ درصدی برگرده، صنعت AI باید تا ۲۰۳۲ سالانه حدود ۳٫۷ تریلیون دلار درآمد داشته باشه.
درآمد فعلی این صنعت حدود ۲۰۰ میلیارد دلاره.
طبقِ گفتهی Acemoglu برندهی نوبلِ اقتصاد، صنعت به این سطح درآمد نمیرسه، به سه دلیل:
اس…
📜 با کمک GPT-6 Astra یک نامه رمزی از سال ۱۸۰۹ رمزگشایی شده.
این نامه برای مارمون، یکی از ژنرالهای ناپلئون، فرستاده شده بوده و تا حالا کسی نتونسته بود کامل رمزگشاییش کنه.
تنها نسخه در دسترسش هم تصویری بود که سال ۱۹۶۹ توی یک مجله تاریخ نظامی فرانسوی چاپ شده بود.
این کار حدود شش ساعت از مدل وقت گرفته.
ساتوشی توموکیو، گرداننده پایگاه رمزهای تاریخی Cryptiana، راهحل رو بررسی کرده و حالا نامه توی این پایگاه حل و ثبت ش…
یک مدل نوشتاری که متن رو به سبک نویسنده یا شخصیتی که انتخاب میکنید مینویسه؛
از داستان و مقاله تا توضیح فنی یا یک گفتوگوی معمولی.
اسم نویسنده رو وارد میکنید و درخواستتون رو مینویسید.
مثلاً میتونید بخواید یک مفهوم فنی رو به سبک Emily Dickinson، شاعر آمریکایی، توضیح بده.
با نویسندههای شناختهشده بهترین نتیجه رو میده.
اگه میخواید به سبک کسی بنویسه که مدل نمیشناستش، مثل خودتون یا یک دوست، چند نمونه از نوشته…
متنی که خودتون نوشتید یا با کمک AI آماده کردید رو واردِ Walter Writes AI کنید و احتمال AI بودنش رو بهصورت درصد نشون میده.
بخشهایی رو هم که به نظرش مشکوکترن مشخص میکنه.
بعد میتونید جملهبندی و انتخاب کلمات رو بازنویسی کنید تا متن طبیعیتر خونده بشه.
شدت بازنویسی در سه سطحِ Simple ، Standard و Enhanced تنظیم میشه.
بررسی متن با Detector هم رایگانه.
ورود به Walter Writes AI
@Elizaium
👤 پروفایل قابلاشتراک به ChatGPT اضافه شده.
با این قابلیت، چیزهایی رو که با ChatGPT ساختید در یک صفحه جمع میکنید و میتونید لینکش رو برای دیگران بفرستید.
در این صفحه، کنار نام، عکس و بیوگرافی، تا ۱۲ سایت از ساختههاتون رو نشون میدید.
پلاگینهاتون هم در بخش جداگانهای میان تا بقیه راحتتر پیداشون کنن و ازشون استفاده کنن.
آدرس پروفایل به شکلِ chatgpt.com/u/username میشه.
موقع تنظیم پروفایل میتونید:
نام کاربری، عکس،…
✍️ با Jenni AI وقتی روی مقاله، Essay یا پیشینهٔ پژوهش کار میکنید، نوشتن، خوندن منابع و ارجاعدادن رو یکجا در اختیار میذاره.
همزمان با نوشتن، ادامهٔ جمله رو پیشنهاد میده و میتونه برای اون از منابع خودتون یا مقالههای علمی ارجاع بیاره.
پیشنهاد رو با Tab قبول میکنید یا ازش رد میشید.
📄 برای ادعاهای متن هم میتونید منبع پیدا کنید.
جمله رو انتخاب میکنید، روی Cite میزنید و ارجاع رو از بین مقالههای پیشنهادی اضافه…
🎬 ایدهگرفتن از ۳۸۹ ویدیوی ساختهشده با Opus 5.5
اگه میخواید ببینید با Claude Opus 5.5 چه ویدیوهایی ساختن، Skillry ویدئوها رو همراه با پرامپتی که سازندههاشون نوشتن یکجا جمع کرده؛
از موشنگرافیک و ویدیوی توضیحی تا صحنهٔ سهبعدی و بازی.
این ویدیوها با کد ساخته شدن. Opus 5.5 انیمیشن رو با ابزارهایی مثل HTML، Canvas یا Three.js مینویسه.
پرامپتها رو فقط کپی نکنید. بخونیدشون، با ایده و محتوای خودتون تغییرشون بدید ت…
📊 نمودارهای آماده و انیمیشندار
مجموعهای رایگان از نمودارهای آماده برای اپها و داشبوردهای React.
لازم نیست نمودار رو از صفر طراحی و پیادهسازی کنید؛
نمونهٔ مناسب رو انتخاب میکنید و مستقیم به پروژه اضافهاش میکنید.
هر نمودار با یک دستور shadcn نصب میشه و کدش داخل پروژهٔ خودتون قرار میگیره.
میتونید دادهها، رنگها و رفتارش رو با رابط کاربری دلخواهتون هماهنگ کنید.
چند قابلیت کاربردی رو یکجا داره:
● نمودارهای…
🖥 اگه با Claude Code، Codex یا Cursor کار میکنید، open-slide کمک میکنه ارائههاتون رو هم با همین Agentها بسازید.
موضوع، ساختار و سبک ارائه رو برای Agent توضیح میدید؛ Agent هر اسلاید رو بهصورت کد React مینویسه و نتیجه رو همون لحظه در مرورگر میبینید.
بعد از ساختهشدن ارائه، این امکانات رو دارید:
● ویرایشگر بصری جدید برای تغییر متن، رنگ و اندازه، جابهجاکردن اجزای اسلاید و برش یا عوضکردن تصویرها
● گذاشتن کامن…
تولید صدا و دوبله با VoiceStudio
یک نرمافزار رایگان برای تولید گفتار، شبیهسازی صدا و دوبلهست که میتونید روی کامپیوتر خودتون اجراش کنید.
برای شبیهسازی صدا، یک نمونهٔ کوتاه و واضح از صدای خودتون وارد میکنید، متن جدید رو مینویسید و خروجی صوتی میگیرید.
امکان انتخاب مدلهای مختلف تولید صدا هم وجود داره.
چند قابلیت کاربردی رو یکجا داره:
- طراحی صدای جدید با مشخصکردن ویژگیهایی مثل سن، زیر و بمی و لهجه.
- دوب…
🙂محاسبهٔ ۹حلقهای در فیزیک نظری ذرات با Claude
مدل Fable 5.1 در محیط Claude Science تونسته یک دامنهٔ پراکندگی ششذرهای رو در نظریهٔ N=4 super Yang Mills تا مرتبهٔ ۹ حلقه محاسبه کنه.
پژوهشگرا سالِ ۲۰۲۳ تونسته بودن تا ۸ حلقه رو محاسبه کنن!
دامنهٔ پراکندگی کمیتیه که برای محاسبهٔ احتمال برهمکنشهای ذرات استفاده میشه.
۹ حلقهای هم به مرتبهٔ تصحیحهای کوانتومیِ لحاظشده هست؛ بالابردن این مرتبه، محاسبات رو خیلی پیچیده…
🎧 مقالههای علمی رو با Listening میتونید گوش کنید.
ابزارِ تبدیل متن به صدا برای دانشجوها و پژوهشگرهاست.
فایل PDF مقاله، کتاب یا لینک صفحه وب رو وارد میکنید تا متن رو با صدای هوش مصنوعی براتون بخونه؛ مثلاً هنگام پیادهروی یا رفتوآمد.
چند قابلیت کاربردی داره:
• انتخاب بخش مقاله: میتونید مستقیم سراغ چکیده، روش تحقیق یا نتایج برید.
• ردکردن ارجاعها و پاورقیها: موقع روخوانی از این بخشها عبور میکنه تا شنیدن متن…
❤202👍4👎2
Showing the 12 most recent of 101 posts we hold for @NewElizaium. 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.
Posts edited after publishing
@NewElizaium edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 August 2026
Most recent edit
18 September 2026
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 25 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Domains linked from posts
12 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 5 October 2026 — this
entry's latest reading, not the date you are reading this.
“Elizaium” (@NewElizaium), 46,129 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/NewElizaium.
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.