# ፫ ሰዓት፡ የጌታ ግርፋት
🔔🔔🔔

ይህንን ፖስት የምታይ እህታችን/ወንድማችን፤ የምትሠራ/ሪውን ለጥቂት ተው/ይና የጌታን ግርፋት እናስብ።

አማኑኤል አምላክነ፤ተገርፈ በቅድመ ጲላጦስ፤ ወለብሰ ቀይሐ ግምጃ።
በጲላጦስ ፊት ተገረፈ፤ ቀይ ግምጃንም አለበሱት።

ስድስት ሺህ ስድስት መቶ ስድሳ ስድስት ግርፋት! ስለ እኛ በደል ሥጋው እስኪያልቅ ድረስ ተገረፈ፤ ደሙም እንደ ውኃ ፈሰሰ። የሾህ አክሊል ደፍተው የአይሁድ ንጉሥ ሆይ ሰላም ላንተ ይሁን እያሉ ተሳለቁበት።

፱ ሰዓት፡ የጌታ ሞት

ጌታ ተጠማ፤ ሆምጣጤ አጠጡት። ተፈጸመ ብሎ በታላቅ ድምፅ ጮኸ፤ ቅድስት ነፍሱን ከቅድስት ሥጋው ለየ። ሞት በሞቱ ተሸነፈ፤ የሰው ልጅም ከዘላለም ባርነት ነጻ ወጣ።

አምንስቲቲ ሙኪርያ አንቲ ፋሲልያሱ

Em-nees the-tee mo-ki-riey enti vasilia so

ተዘከረነ እግዚኦ በውስተ መንግሥትከ

አቤቱ በመንግሥትህ አስበኝ

"ንዑ ንሑር ከመ ንስዓም ስጋሁ"

ዝማሬ ዘትንሳኤ ቅ/ያሬድ ❤

" ኑ ስጋውን እንስም ዘንድ እንሂድ"

መቃብሩ [ቤተክርስቲያን] ሄደን ስጋውን የምንስምበት [የምንቀበልበት] ሰአት ደርሷል ወገን ... እንሂድ

ክርስቶስ ተንሥአ እሙታን
በዐቢይ ኃይል ወሥልጣን
አሰሮ ለሰይጣን
አግዐዞ ለአዳም
ሠላም እምይዕዜሰ
ኮነ
ፍስሐ ወሠላም

@sudojajos

Guys I am planning on training RL agent on playing this game I built ... what do u think?

but maybe I could also use this one ...


or maybe who knows a new game + an AI agent that also plays it could also work 😁

Wolpert and Macready proved in 1997:

When averaged across all possible problems, every search algorithm performs equally well.

Imagine two algorithms:
Algorithm A — highly tuned for hilly terrain. It's excellent at finding peaks in mountainous landscapes.
Algorithm B — highly tuned for flat terrain. It's excellent at finding peaks in open plains.

which is better overall?
The answer is neither. What Algorithm A gains in mountains, it loses in plains. What Algorithm B gains in plains, it loses in mountains. Averaged across all possible terrains, they perform identically.
This isn't a coincidence. It's mathematically provable.

Every optimization gain in one class of problems is paid for by an equal loss somewhere else.

Performance is conserved across problem types. the saying "jack of all trades; master of none has a point"... 😁

and by the way the title of the paper is: No Free Lunch Theorems for Optimization 😁

u can read it here: https://www.cs.ubc.ca/~hutter/earg/papers07/00585893.pdf

We spend our whole life learning how to fill the space. But nobody teaches us how to leave room in it for possibility and wonder.

@byte_philosopher

why only MAC -> Google also released native app for MAC only 😭 ... they know where the revenue is 😊

gn it doesnt mean others are like ነጭ 😁

Maybe an update on this, currently I have finished exposing rl environment information ... Like now basically the game has two modes the one for normal game playing and the other more optimized one for rl agents ...

Optimistically I think I can finish it within three days if not interrupted with other stuff


Will send u visuals soon ...

መዝ 67:1-2

1 እግዚአብሔር ይነሣ፥ ጠላቶቹም ይበተኑ፥ የሚጠሉትም ከፊቱ ይሽሹ።
2 ጢስ እንደሚበንን እንዲሁ ይብነኑ፤ ሰም በእሳት ፊት እንደሚቀልጥ፥ እንዲሁ ኅጥኣን ከእግዚአብሔር ፊት ይጥፉ።

መልካም ሰንበት
@Sewyishalist

Our RL agent is learning as such rn ... u may see it is dump rn 😁 but wait ... it will start cooking after some episodes ...

Oh guys it just finished level 1

https://youtu.be/PPJ6NJkmDAo?si=e4VZq0rMtuf_UMAn

Oh lol this isn't nice ...

Just hack urself and ask for refund 😜😜😜 ...

But everyone one of u who have seen this post should definitely see this video ... I mean it

Noted 😝

🚨 URGENT: An Ethiopian Dev is #1 in the World - We Need to Hold the Line! 🇪🇹
Selam guys,
A 24-year-old solo developer from Addis Ababa just beat 10,000 global teams to reach the finals of the Amazon (AWS) AIdeas Challenge.
He built Ivy an offline-capable AI tutor for Ethiopian students on $120 Android phones.
Right now, Ivy is Ranked #1 Globally. But a massive corporate team from India is only 29 votes behind, mobilizing their universities to overtake us tonight.
We cannot let Ethiopia lose this. The US has Silicon Valley. India has Bangalore. Ivy has us.
Takes 30 seconds to make history:

1️⃣ Click the link below
2️⃣ Sign in (or create a quick AWS Builder ID with your email)

3️⃣ Hit the 👍 "Like" button on the article.
👉 VOTE HERE: https://builder.aws.com/content/3CQJ9SY2gNvSZKWd3tEq8ny7kSr/aideas-finalist-ivy-the-worlds-first-offline-capable-proactive-ai-tutoring-agent