Channel
@EthiopianAII
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
21,828subscribers
+911 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001495857996 |
|---|---|
| Type | Channel |
| Username | @EthiopianAII |
| Description | This is the official Telegram channel of FDRE Artificial Intelligence Institute. |
| Created | Between 1 August 2019 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/EthiopianAII |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 10:06 | 21,828 | -14 |
| 7 Nov 2026, 01:18 | 21,842 | -3 |
| 6 Nov 2026, 03:19 | 21,845 | +13 |
| 5 Nov 2026, 03:20 | 21,832 | +22 |
| 4 Nov 2026, 06:00 | 21,810 | +3 |
| 3 Nov 2026, 06:11 | 21,807 | +10 |
| 2 Nov 2026, 08:16 | 21,797 | +1 |
| 1 Nov 2026, 09:00 | 21,796 | +8 |
| 31 Oct 2026, 06:11 | 21,788 | +3 |
| 30 Oct 2026, 08:19 | 21,785 | +4 |
| 29 Oct 2026, 09:15 | 21,781 | -8 |
| 28 Oct 2026, 05:47 | 21,789 | +11 |
| 27 Oct 2026, 08:45 | 21,778 | -3 |
| 26 Oct 2026, 08:55 | 21,781 | +8 |
| 25 Oct 2026, 08:56 | 21,773 | +11 |
| 24 Oct 2026, 11:40 | 21,762 | +7 |
| 23 Oct 2026, 12:36 | 21,755 | +10 |
| 22 Oct 2026, 14:46 | 21,745 | +11 |
| 21 Oct 2026, 10:44 | 21,734 | +8 |
| 20 Oct 2026, 11:30 | 21,726 | first reading |
96 posts held, back to 7 August 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 77 pages of Telegram’s post history, 20 posts per page.
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 22 of 26 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 96 (7 August 2026 – 7 November 2026) |
| Views total | 53,054 |
| Reactions total | 130 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 02:59 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.
Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
459 reactions across 78 posts, in 8 distinct kinds. The most used accounts for 78.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 361 | 78.6% | |
| 🔥 | 61 | 13.3% | |
| 👏 | 17 | 3.70% | |
| 🤔 | 11 | 2.40% | |
| 😱 | 3 | 0.654% | |
| 🤬 | 3 | 0.654% | |
| 👎 | 2 | 0.436% | |
| 👌 | 1 | 0.218% |
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 79 of the 96 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 459 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 96 most recent posts we hold, published 7 August 2026 to 7 November 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.
Telegram’s own ‘edited’ marker: 2 of 26 posts held from the last 30 days (7.69%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
ደቡብ አሜሪካ ለኃላፊነት የተሞላውና ሁሉን አካታች የኤአይ ልማት የመረጃ አስተዳደሯን እያጠናከረች ነው የሰው ሠራሽ አስተውሎት የሚያድገው በቴክኖሎጂ አቅም ብቻ አይደለም፤ ጥራት ያለው፣ ደኅንነቱ የተጠበቀና ለሁሉም ተደራሽ የሆነ መረጃም ያስፈልገዋል። ይህን እውነታ ከግምት በማስገባት የደቡብ አሜሪካና ካሪቢያን ሀገራት ኃላፊነት የተሞላበትና ሁሉንም ያካተተ የኤአይ ልማት እንዲኖር በመረጃ አስተዳደር ዘርፍ አዳዲስ እርምጃዎችን እየወሰዱ ነው። ዩኔስኮ ከአንድ ዓመት በፊት ያወጣው የመረጃ አስተዳደር መመሪያ ወደ ስፓኒሽ ተተርጉሟል። ከዚህ ጋር ለመንግሥታትና ለተቆጣጣሪ ተቋማት የተዘጋጁ የሥልጠና እና የመገምገሚያ ዝርዝር መስፈርቶችንም አክሏል። ፔሩ በበኩሏ የ2…
👍4
የሰው ሰራሽ አስተውሎት ከቴክኖሎጂ ልማት ባለፈ አዳዲስ የሥራ ዕድሎችን እየፈጠረ ነው የሰው ሰራሽ አስተውሎት የቴክኖሎጂ አሠራርን ብቻ ሳይሆን በተለያዩ የኢኮኖሚ ዘርፎች የሥራ አፈጻጸምንም እያላቀ ይገኛል። ከዚህ ቀደም ትኩረቱ የኤአይ ሞዴሎችንና የቴክኖሎጂውን መሠረተ ልማት በመገንባት ላይ ነበር። አሁን ግን እነዚህን ቴክኖሎጂዎች ወደ ተግባር የሚቀይሩ፣ ከነባር የሥራ ሂደቶች ጋር የሚያቀናጁ፣ የሚያስተዳድሩና ተጨባጭ ውጤት እንዲያመጡ የሚያደርጉ ባለሙያዎች ፍላጎት እየጨመረ ነው። ይህ በተግባር እንዴት ይሠራል? ለምሳሌ አንድ ሆስፒታል ኤአይን ሲጠቀም የሶፍትዌር አበልጻጊዎችን ብቻ አይደለም የሚፈልገው። ቴክኖሎጂውን በሕክምና ትንተና የሚጠቀሙ የጤና ባለሙ…
🤬2👍1
ኦፕንኤአይ የሳይበር ደህንነት አቅሙ ከፍተኛ የሆነውን GPT-6 Cyber ይፋ አደረገ ኦፕንኤአይ የሳይበር ጥቃቶችን ከመከላከልና የዲጂታል ስርዓቶችን ደህንነት ከማረጋገጥ አንጻር የተዘጋጀውን GPT-6 Cyber የተሰኘ አዲስ የሰው ሠራሽ አስተውሎት ሞዴል ይፋ አድርጓል። ሞዴሉ በሶፍትዌሮች ውስጥ የደህንነት ክፍተቶችን ለመለየት፣ ሊደርሱ የሚችሉ ጥቃቶችን ለመፈተሽና ከመጠቃታቸው በፊት ለማስተካከል ይረዳል። ሞዴሉ ከፍተኛ የሆነ የሳይበር ደህንነት ችሎታ በማሳየቱ ምክንያትም ኩባንያው ሞዴሉን በደህንነት ግምገማው የCritical ደረጃ ሰጥቶታል። ድረ ገጽ | ፌስቡክ | ኤክስ | ዩቲዩብ | ቲክቶክ | ሊንክድኢን | ኢንስታግራም
https://youtu.be/z1zAE6CvPEM
👍2
https://www.linkedin.com/feed/update/urn:li:activity:7524378708388786176
ተመሳሳይ ኤአይ ለምን የተለያየ ውጤት ሊሰጥ ይችላል? ሁለት የኤአይ ሞዴሎችን በተመሳሳይ መረጃ፣ በተመሳሳይ የሥልጠና ዘዴና በተመሳሳይ ሁኔታ ብናሠለጥን አንድ ዓይነት ውጤት እንዲያመጡ እንጠብቃለን። እውነታው ግን የተለየ ነው፤ ተመሳሳይ ሥልጠና ያገኙ ሞዴሎች እንኳን ወደ ተለያዩ ውጤቶች ሊደርሱ ይችላሉ። ለምን? በአውስትራሊያ የሲድኒ ዩኒቨርሲቲ ተመራማሪዎች በዚህ ጥያቄ ላይ ያደረጉት ጥናት አዲስ ግኝት ይፋ አድርጓል። ችግሩ ከመረጃ አቀራረብ ቅደም ተከተል፣ ከሃርድዌር ልዩነት ወይም በስሌት ወቅት ከሚፈጠሩ ጥቃቅን የማጠጋጋት ስህተቶች ብቻ አይመነጭም። በሞዴሉ የመነሻ መቼቶች (Initial Conditions) ውስጥ ያለ እጅግ ትንሽ ልዩነት እንኳን የሥልጠናው…
👍3👏3
https://www.linkedin.com/feed/update/urn:li:activity:7524086378008211456
ተንሰንት በፋይናንስ ትንተና የተሻለ አፈጻጸም ያሳየውን አዲስ ኤአይ ሞዴል Hy4 ይፋ አደረገ የቻይናው የቴክኖሎጂ ግዙፍ ኩባንያ ተንሰንት (Tencent) ሞዴል የፋይናንስ ትንተናን ጨምሮ በቢሮ ሥራዎች፣ በሶፍትዌር ልማት፣ በሳይንሳዊ ምርምርና በሌሎች የሙያ ዘርፎች የላቀ አቅም እንዲኖረው መገንባቱ ተገልጿል። ከHy4 አስደናቂ ብቃቶች አንዱ የፋይናንስ መረጃዎችን በጥልቀት የመተንተን ችሎታው ነው። ሞዴሉ በዚህ ዘርፍ ያለውን አቅም ለመፈተሽ 213 የፋይናንስ ባለሙያዎች በተሳተፉበትና 579 ተጨባጭ የፋይናንስ ተግባራት በተገመገሙበት የግምገማ ሙከራ ተሳትፏል። ከተሳታፊዎቹ 153ቱ ከውጭ የፋይናንስ ተቋማት የተውጣጡ ባለሙያዎች ነበሩ። በዚህ ግምገማ Hy4 3.0…
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ደቡብ ኮሪያ ሮቦቶችን የምታስተምርበት የዳታ ፋብሪካ ከፈተች ደቡብ ኮሪያ ሰው መሰል ሮቦቶች የሰውን ትዕዛዝ ተረድተው፣ አካባቢያቸውን አይተው እና ለይተው ሥራዎችን በራሳቸው እንዲሠሩ የሚያሠለጥን የመጀመሪያውን የኤአይ ሮቦት ዳታ ፋብሪካ በይፋ ከፍታለች። የሀገሪቱ የሳይንስና ቴክኖሎጂ ምርምር ብሔራዊ ምክር ቤት (NST) እንዳስታወቀው ፋብሪካው የተከፈተው በኮሪያ የማሽነሪና ቁሳቁስ ተቋም (KIMM) ዋና መሥሪያ ቤት ውስጥ ነው። ፋብሪካው ሮቦቶች ሥራ ሲሠሩ የሚፈጥሩትን መረጃ ሰብስቦ የላቁ የኤአይ ሞዴሎችን ለማበልጸግ ይጠቀምበታል። ስራውን በ12 ሰው መሰል ሮቦቶች ጀምሯል። ባለሙያዎች ሮቦቶቹን ከርቀት እየመሩ የተለያዩ ተግባራትን ያሠራሉ፤ እንቅስቃሴያቸውንም…
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https://youtu.be/qxalj9qtWTM
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የሳይበር ጥቃት በአውሮፓ ሱፐርማርኬቶች በመላው አውሮፓ የሚገኙ የሱፐርማርኬት ሰንሰለቶች ያልተለመደ የሳይበር ጥቃት ሰለባ ሆነዋል። ጥቃቱ በቀጥታ የሱፐርማርኬቶቹ የማቀዝቀዣ ሥርዓቶች ላይ አነጣጥሯል፡፡ በበርካታ መደብሮች ውስጥ መደበኛውን የስራ ሂደት አዛብቷል። እንደ ሲኤንቢሲ ዘገባ፤ አጥቂዎቹ ከኢንተርኔት ጋር የተገናኙትን (IoT) የማቀዝቀዣ መሣሪያዎች ተጠቅመዋል፡፡ ይህ ድርጊትም በሙቀት መቆጣጠሪያዎች ላይ ከፍተኛ ብልሽት እንዲፈጠር ምክንያት ሆኗል። አንዳንድ መደብሮች የተበላሹ እቃዎችን ለመከላከል ሲሉ የማቀዝቀዣ ክፍሎቻቸውን ሙሉ በሙሉ እንዲዘጉ እና እቃዎችን እንዲያስወግዱ ተገደዋል። ባለሥልጣናት እና የሳይበር ደህንነት ባለሙያዎች የጥቃቱን ምንጭና…
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ፍትሕን በቴክኖሎጂ ለማዘመን በኦሮሚያ ጠቅላይ ፍ/ቤት ፕሬዝዳንት የተከበሩ ኡቱካና ኦዳ (ዶ/ር) የተመራ ከፍተኛ የስራ ኃላፊዎች ልዑክ የፍትሕ አገልግሎትን በቴክኖሎጂ ለማዘመን የተጀመሩ ስራዎችን በቅርበት ለመመልከት በኢትዮጵያ አርቲፊሻል ኢንተለጀንስ ኢንስቲትዩት የስራ ጉብኝት አድርጓል። ልዑካኑን የኢንስቲትዩቱ ምክትል ዋና ዳይሬክተር ታዬ ግርማ (ዶ/ር) ተቀብለው አነጋግረዋል። በውይይቱም በሁለቱ ተቋማት መካከል እየተከናወኑ ያሉ የቴክኖሎጂ ልማት ስራዎች የተገመገሙ ሲሆን፤ ለወደፊት ትብብሩን የሚያጠናክሩ የአሰራር ማዕቀፎችን በተመለከተም አቅጣጫዎች ተቀምጠዋል። ኢንስቲትዩቱ ለኦሮሚያ ጠቅላይ ፍ/ቤት የአሰራር ስርዓቶችን የሚያዘምኑ የስማርት ፍ/ቤት እና ተያ…
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Showing the 12 most recent of 96 posts we hold for @EthiopianAII. 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.
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Read from Telegram’s recommendation API, most recently 24 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“Ethiopian Artificial Intelligence Institute” (@EthiopianAII), 21,828 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/EthiopianAII.
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.