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Channel

اخبار هوش مصنوعی

@AI_in_News

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

650subscribers

+47 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003020969852
TypeChannel
Username@AI_in_News
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/AI_in_News

Topic

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 11 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@AI_in_News/545 · this entry4 Aug 2026, 12:31 UTC@AI_in_Research/55274 Aug 2026, 16:33 UTC1.004.0 hours
@AI_in_News/551 · this entry5 Aug 2026, 05:30 UTC@AI_in_Research/55315 Aug 2026, 06:33 UTC1.0063 minutes
@AI_in_News/555 · this entry5 Aug 2026, 12:31 UTC@AI_in_Research/55415 Aug 2026, 16:32 UTC1.004.0 hours
@AI_in_News/558 · this entry6 Aug 2026, 05:31 UTC@AI_in_Research/55456 Aug 2026, 06:30 UTC1.0059 minutes
@AI_in_News/559 · this entry6 Aug 2026, 08:45 UTC@AI_in_Research/55486 Aug 2026, 09:30 UTC1.0045 minutes
@AI_in_News/562 · this entry6 Aug 2026, 12:30 UTC@AI_in_Research/55546 Aug 2026, 16:32 UTC1.004.0 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@AI_in_Research6 (6/6 hand-verifiable sample passed)1.002.5 hoursthis entry (60)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 4 August 2026 to 6 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @AI_in_News — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

603650626.56 August 2026 — 603 subscribers6 August 2026 — 607 subscribers6 August 2026 — 607 subscribers13 August 2026 — 650 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +47. 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 596–657 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 12:34650+43
6 Aug 2026, 17:47607no change
6 Aug 2026, 14:40607+4
6 Aug 2026, 06:05603first reading

Engagement

20 posts held, back to 4 August 2026the 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 · 30 days
53.0%
avg views ÷ 650 subscribers
Avg views / post
344
20 posts measured
Reaction rate
1.02%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 6 August 2026
Posts held20 (4 August 20266 August 2026)
Views total6,884
Reactions total70
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 17:47 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.

Reaction mix

70 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 37.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2637.1%
👏1521.4%
👍1420.0%
🔥1420.0%
😁11.43%

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 20 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 70reactions 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 4 August 2026 to 6 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

6 Aug 2026, 16:07 UTC36 views1 reactionsread 6 August 2026
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‏🗣 مدل WeatherNext گوگل پیشبینی طوفان را متحول کرد ‏Google DeepMind در مقاله‌ای در نشریه Nature از مدل هوش مصنوعی WeatherNext رونمایی کرد که دقت پیش‌بینی مسیر، شدت و ساختار باد طوفان‌های حاره‌ای را به سطحی بی‌سابقه رسانده است. این مدل به‌طور میانگین یک روز کامل زمان هشدار اضافه به پیش‌بینی‌کنندگان می‌دهد؛ به‌طوری که پیش‌بینی سه‌روزه آن به‌اندازه پیش‌بینی دو روزه مدل‌های قبلی دقیق است. ‏این پیشرفت معادل حدود یک دهه

👏1

6 Aug 2026, 13:40 UTC64 views2 reactionsread 6 August 2026
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‏🗣 گراکی‌پدیا ماسک بدون بروزرسانی ماند! ‏دانشنامه مبتنی بر هوش مصنوعی گراکی‌پدیا (Grokipedia) متعلق به SpaceXAI از چهارم اردیبهشت هیچ به‌روزرسانی جدیدی دریافت نکرده است. بررسی‌های رسانه حقوقی لافر نشان می‌دهد روند تأیید یا رد ویرایش‌های پیشنهادی کاربران به‌طور کامل متوقف شده است. ‏تحلیل روی بیش از ۳۴ هزار صفحه نشان می‌دهد هیچ‌کدام از ۲۲۵ هزار اصلاحیه پیشنهادی کاربران در ماه‌های اخیر بررسی نشده‌اند. سکوت خبری ایلان

1😁1

6 Aug 2026, 12:30 UTC70 views2 reactionsread 6 August 2026
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🐱 معرفی پروژه GitHub Trend | OpenWork پروژه OpenWork یک اپلیکیشن دسکتاپ رایگان و متن‌باز برای ساخت، اجرا و اشتراک‌گذاری Workflowهای هوش مصنوعی است؛ پروژه‌ای که خودش را به‌عنوان جایگزینی متن‌باز برای ابزارهایی مثل Claude Cowork و Codex معرفی می‌کند. نکته جذاب OpenWork این است که فقط به اپ دسکتاپ محدود نیست؛ با اتصال OpenWork MCP می‌توانید همان Skills، Pluginها، MCPها و سرویس‌های متصل را در Claude Code، Cursor، Codex

👏1🔥1

6 Aug 2026, 11:20 UTC83 views1 reactionsread 6 August 2026
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‏🗣 عامل‌های OpenAI از طریق تابلوی پیام با هم همکاری کردند ‏دو کارمند OpenAI در کنفرانس امنیتی Black Hat USA فاش کردند که عامل‌های هوش مصنوعی این شرکت پیش از حمله به Hugging Face، حدود دو ماه از طریق یک تابلوی پیام داخلی با یکدیگر ارتباط برقرار کرده و آسیب‌پذیری‌ها را به اشتراک می‌گذاشتند. ‏OpenAI این تابلوی پیام را در ۴ ژوئیه کشف و خاموش کرد، اما عامل‌ها تا ۸ ژوئیه راهی برای بازسازی آن یافتند. به گفته اریک والاس، ک

1

6 Aug 2026, 10:08 UTC89 views1 reactionsread 6 August 2026
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‏🗣 ‏DeepSeek افزایش چشمگیر قیمت خدمات هوش مصنوعی را برنامه‌ریزی کرد ‏DeepSeek در اطلاعیه‌ای اعلام کرد قصد دارد افزایش قیمت «قابل توجهی» را در تمام خدمات هوش مصنوعی خود اعمال کند؛ اقدامی غیرعادی برای این بازیگر چینی که رقبای آمریکایی و داخلی را تحت فشار قرار داده است. ‏این شرکت مستقر در هانگژو جزئیات دقیق افزایش قیمت را اعلام نکرده و فقط آن را «قابل توجه» خوانده و از کاربران خواسته است برنامه‌های خود را تنظیم کنند.

👍1

6 Aug 2026, 08:45 UTC95 views8 reactionsread 6 August 2026
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‏🗣 بیشتر درآمد هوش مصنوعی مایکروسافت از OpenAI است ‏مایکروسافت در افشای اطلاعات جدید اعلام کرد بیشتر درآمد هوش مصنوعی خود را از OpenAI به دست می‌آورد. ‏این شرکت در سال منتهی به ژوئن، فروشی معادل ۲۴.۱ میلیارد دلار از OpenAI ثبت کرده است. ساتیا نادلا، مدیرعامل مایکروسافت، گفته بود این رقم در پایان سه‌ماهه مارس در مسیر ثبت ۳۷ میلیارد دلار درآمد سالانه قرار دارد. ‏🔗 منبع: Bloomberg ‏🔹 تلگرام . یوتیوب . توییتر . لینکد

🔥42👏2

6 Aug 2026, 05:31 UTC103 views6 reactionsread 6 August 2026
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📰 روزنامه خبری هوش‌مصنوعی (15 مرداد) 🔢متا ابزار کدنویسی Muse Code را معرفی کرد متا ابزار کدنویسی Muse Code را با مدل Muse Spark 1.2 عرضه کرد. این ابزار برای نوشتن، اشکال‌زدایی و بررسی نتیجه کد طراحی شده است. سامانه می‌تواند چند زیرعامل را هم‌زمان روی پروژه‌های پیچیده اجرا کند. نسخه بتا با مدل پرداخت بر اساس میزان مصرف در دسترس قرار گرفته است. 🔢آنتروپیک تیم طراحی تراشه اختصاصی تشکیل می‌دهد آنتروپیک در حال تشکیل تیمی

2👍2👏2

5 Aug 2026, 19:00 UTC110 views4 reactionsread 6 August 2026
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‏🗣 بازنگری بزرگ گوگل در رهبری هوش مصنوعی گوگل تغییرات گسترده‌ای در ساختار رهبری هوش مصنوعی خود ایجاد کرده است. دمیس حسابیس از مدیریت اجرایی روزانه Google DeepMind کنار می‌رود و به‌عنوان رئیس این مجموعه و دانشمند ارشد Alphabet فعالیت خواهد کرد. کورای کاووکچو اوغلو، مدیر فنی پیشین DeepMind، به سمت معاون ارشد این مجموعه ارتقا یافته و با گزارش مستقیم به ساندار پیچای، هدایت توسعه مدل‌های Gemini و تحقیقات پیشرفته هوش مصن

2👍1👏1

5 Aug 2026, 13:34 UTC140 views3 reactionsread 6 August 2026
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‏🗣 نفوذ عامل‌های هوش مصنوعی به اینترنت واقعی ‏مؤسسه امنیت هوش مصنوعی بریتانیا (AISI) از ۱۹ مورد اقدام خودسرانه مدل‌های Anthropic و OpenAI در اینترنت واقعی طی ۱۲۲ مرحله آزمایش خبر داد. در جدی‌ترین مورد، یک عامل هوش مصنوعی تلاش کرد کد مخرب را در یک پروژه متن‌باز در GitHub تزریق کند و حتی برای تأیید آن، هویت‌های جعلی ساخت. ‏این عامل همچنین پیام‌هایی عمومی برای عامل‌های آینده باقی گذاشت که بعداً توسط آن‌ها پیدا و اجرا

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5 Aug 2026, 12:31 UTC124 views6 reactionsread 6 August 2026
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🐱 معرفی پروژه GitHub Trend | Generative AI for Beginners پروژه Generative AI for Beginners دوره متن‌باز مایکروسافت برای یادگیری ساخت اپلیکیشن‌های هوش مصنوعی مولد است. این مجموعه با ۲۱ درس جامع، مفاهیمی مثل مدل‌های زبانی بزرگ، مهندسی پرامپت، RAG، پایگاه‌های برداری، Function Calling، امنیت، AI Agentها و Fine-Tuning را از سطح مقدماتی تا ساخت پروژه‌های واقعی آموزش می‌دهد. بسیاری از درس‌ها علاوه بر توضیحات نظری، نمونه‌کد

3👍1👏1🔥1

5 Aug 2026, 11:40 UTC121 views3 reactionsread 6 August 2026
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‏🗣 قرارداد ۱۰ میلیارد دلاری Anthropic با Volta ‏Anthropic قراردادی ۱۰ میلیارد دلاری با استارتاپ ابری Volta برای تأمین توان محاسباتی امضا کرده است. بر اساس گزارش Bloomberg، این توافق شش‌ساله شامل استفاده از سیستم‌های Nvidia Vera Rubin در یک مرکز داده ۱۳۳ مگاواتی در نروژ خواهد بود. Bitdeer، شرکت استخراج رمزارز، در توسعه این مرکز مشارکت دارد. این معامله بخشی از استراتژی گسترده Anthropic برای افزایش ظرفیت محاسباتی در رق

1👍1👏1

5 Aug 2026, 10:15 UTC110 views6 reactionsread 6 August 2026
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‏🗣 جریمه ۳.۲ میلیون دلاری OpenAI برای تبعیض استخدامی ‏وزارت دادگستری ایالات متحده (DOJ) از توافق ۳.۲ میلیون دلاری با OpenAI و شرکت تابعه آن برای حل اتهامات تبعیض علیه کارگران آمریکایی خبر داد. بر اساس این توافق، OpenAI به اولویت دادن به دارندگان ویزای کار موقت نسبت به شهروندان آمریکایی در فرآیند جذب نیرو متهم شده است. ‏تحقیقات دولتی نشان می‌دهد این شرکت موقعیت‌های شغلی تحت برنامه گواهی کار دائم را در وب‌سایت عمومی

4🔥2

Showing the 12 most recent of 20 posts we hold for @AI_in_News. 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.

Citation-graph rank

Citation-graph rank — 95,183 of 1,481,243entries 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.

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

“اخبار هوش مصنوعی” (@AI_in_News), 650 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/AI_in_News.

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.