‼️ هل الأمن السيبراني له مستقبل حاليا ✅ ال AI مش مجرد اداة طلعت وخلاص او تقنية جديدة مبهرة , بل فعلا عصر تاني زي عصر الكهرباء وعصر الكومبيوتر , ومن اهم المجالات اللي حاليا عليها العين وهو الأمن السيبراني , طالما انه ال AI بقا بيعرف يحل كل الثغرات بل وكمان بيهاجم سعتها ايه لازمة الأمن السيبراني , كل ده هنعرفه اكثر هنا رابط الفيديو : 🎥 https://youtu.be/gQFD9BG1zKI

Channel
sparrow AI
@sparrowsAI
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,884subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002441082090 |
|---|---|
| Type | Channel |
| Username | @sparrowsAI |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/sparrowsAI |
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 7 other registered channels, 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.
@hiddenlockteamc · Channel15,513 subscriberssparrows
@sparrowsHLT · Channel14,358 subscribersHidden Lock | Defense
@HBLock0 · Channel13,625 subscribersNo System is Safe
@NOOSafe · Channel11,955 subscriberssparrow
@sparrows0y0 · Channel1,684 subscribersSparrow Quantum
@sparrowQM · Channel1,119 subscribersKernCore
@KernCore · Channel925 subscribers
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 14:06 | 2,884 | -4 |
| 8 Aug 2026, 05:16 | 2,888 | -1 |
| 7 Aug 2026, 16:32 | 2,889 | no change |
| 7 Aug 2026, 16:22 | 2,889 | first reading |
Engagement
17 posts held, back to 18 June 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.24%
- avg views ÷ 2,884 subscribers
- Avg views / post
- 122
- 4 posts measured
- Reaction rate
- 2.56%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 17 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. It is computed over the 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 17 (18 June 2026 – 5 August 2026) |
| Views total | 489 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:32 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
- Video runtime
- 1m 57s
- Average length
- 59s
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
14 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 71.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 71.4% | |
| 🔥 | 3 | 21.4% | |
| 👍 | 1 | 7.14% |
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 8 of the 17 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 18 June 2026 to 5 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
‼️ ليه الشركات بتسرب بياناتها !! ✅ أبل بتحارب المسربين علنا.. وفي نفس الوقت مستفيدة منهم , الفيديو ده بيشرح جانب مختلف تماما بقا عن الفكرة النمطية اللي دايما واخدينها , انه دايما التسريبات بتكون من هاكر او شخص خارج الشركة , ولكن في الفيديو هتعرف انه تقريبا اللي بيحصل اكثر حاجة هو دايما العكس 📎 رابط الفيديو : 🎥 https://youtu.be/e0vP6yCWGyU
🔥3
‼️ لينكس طلع اسوء مما تتخيل ! ✅ كل الناس بقت بتتكلم عن لينكس , وقد ايه هو اعظم نظام في المجرة , وان ويندوز اسوء نظام في المجرة ,ولكن هيحصل ايه لو عملنا نفس المقارنة ده بالظبط على لينكس , نفس المعاير اللي بنعملها لويندوز نعملها للينكس , ونشوف هل لينكس فعلا نظام يستاهل ولا !! رابط الفيديو : 🎥 https://youtu.be/NSNPrDIbTsw
‼️ مايكروسوفت بتحب لينكس ✅ مايكروسوفت مش زي ما احنا فاكرين عنها (بيل جيتس دافعلي) رابط الفيديو : https://youtu.be/WlFh0W4IaCE
النهارده البرلمان الأوروبي وافق على قانون "Chat Control 1.0"، واللي بيسمح بمراقبة المحادثات في بروكسل. القانون ده بيدي المنصات الحق إنها تفحص الرسائل الخاصة، وبيتم تقديمه على إنه اختياري، لكنه عمليًا بيفتح الباب لمراقبة واسعة لوسائل التواصل. الإجراء ده عدى رغم وجود معارضة كبيرة، حيث صوّت 314 عضوًا في البرلمان الأوروبي ضده، بينما أيده 276 عضوًا فقط. لكن الأغلبية البسيطة ما كانتش كفاية، لأن القانون كان محتاج أغلبية مط…
‼️ احنا مقاطعين... طب ليه لسه بنستخدمهم ✅ كثير جدا مننا الحمد لله ملتزم بالمقاطعة الى الأن وبقينا متعايشين مع حاجة زي كدا , ولكن ليه لحد الأن احنا بنستخدم منجات من شركات اخطر , شركات بتمول الكيان بأمواال ضخمة وبتكنولوجيا حديثة تكون السبب المباشر في ابادة جماعية كلنا حاليا بنشهدها , ان شاء الله اكون جاوب على السؤال في الفيديو ده رابط الفيديو : https://youtu.be/R_hvTT2icrs
❤5
‼️ مين اللي بيعمل الكراك (عالم المشهد) ✅ فكرة الكراك هي فكرة بقت منتشرة ومبتذلة اوي يعني , ولكن فيه جوانب محدش اتكلم عنها , ازاي مثلا ان ال crackers نفسهم مش هما للي بيحطوا الفيروسات وان لا هدفهم مال ولا اي حاجة مادية يعني , الفيديو ده يعتبر تكملة لفيديو قديم عملته وهو ليه الشركات سايباك تسرقها , وبس كدا استمتعوا بالفيديو رابط الفيديو : https://youtu.be/kDjlcQntC04
❤2
الفصل الثامن https://www.hiddenlockteam.com/2026/07/security-plus-given-scenario-analyze.html?m=1
👍1
ميتا قررت تستغل فائض قدرات الحوسبة الخاصة بالذكاء الاصطناعي عندها وتحوله إلى خدمة سحابية، بعد ما سهم الشركة ارتفع بأكثر من 10%. بعد ما بنت بنية تحتية ضخمة للذكاء الاصطناعي لتشغيل منتجاتها وخدماتها، بقى التحدي قدام ميتا هو إزاي تستفيد من الإمكانيات دي بأكبر شكل ممكن. الشركة بتخطط إنها تتيح للمطورين استخدام نماذج الذكاء الاصطناعي الخاصة بها مباشرة، على أن تكون مستضافة داخل مراكز بيانات ميتا نفسها. الفكرة دي شبه خدمات ز…
🤖 أنثروبيك تطلق Claude Science تطبيق جديد مصمم ليدعم جميع مراحل البحث العلمي. يوفّر إمكانية تتبّع الـ Artifacts وربطها مباشرةً بالكود الخاص بها، مع إدارة بيئات العمل عند الطلب، بالإضافة إلى أكثر من 60 قاعدة بيانات علمية اختيارية يمكنك ربطها بالتطبيق.
❗️شركة Anthropic أكدت رسميًا إن نموذج Fable 5 القوي هيرجع يشتغل عالميًا بكرة، بعد انتهاء فترة الإيقاف اللي كانت مفروضة بقرار حكومي. وبحسب إعلان الشركة، هيرجع Fable 5 بمجموعة جديدة من أنظمة التصنيف (Classifiers) المصممة لمنع تنفيذ عدد أكبر من مهام الأمن السيبراني، وهي نفس المخاوف المتعلقة بإساءة الاستخدام اللي كانت السبب الرئيسي في إيقافه.
‼️ ايه اللي حصل ل Fable 5 ؟؟ ✅ اقوى نموذج ذكاء اصطناعي بعد 3 ايام بس من اطلاقه اختفى فجائة بدون اي سابق انذار , الفيديو ده هنتكلم بالتفصيل عن كل حاجة , عن اصل القصة , وقوة Fable 5 اللي هتكون السبب في اختفائه فجائة وكل حاجة ان شاء الله رابط الفيديو : https://youtu.be/ogQHOsl_pvo
Showing the 12 most recent of 17 posts we hold for @sparrowsAI. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“sparrow AI” (@sparrowsAI), 2,884 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/sparrowsAI.
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.