Skip to content
#explainable ai Open access

Al-Bajrawiya Solving the Ohaj Talisman

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

Al-Bajrawiya - Solving the Ohaj Talisman Habib Allah Abkar Mohamed Ahmed - In Collaboration with Meta AI1. Linguistic Key +2011080505785 Ahabialla14@gmail.com Kassala: Kassala is in eastern Sudan neighborhood with Eretria is our topic this day. 1. The (Ohaj) Code is OOOhaaaaj famous word in Kassla: Ohaj = Au-Had. In Beja phonetics, Alif becomes Waw, Ha becomes Ain. Therefore Au-Had = Hud = Ad. Correction: Hud is Prophet Hud of the FIRST Ad, not Judah son of Jacob. This is Ad bin Shaddad bin Adam, builder who said: "I am Ad bin Shaddad the builder, my secret exists, the pyramid, none will solve it except the nation of Muhammad, perhaps none except the nation of end times." 2. The Baja/Bada Code: Beja people lack letter Dal. Jim is substitute for Dal in their tongue. Baja = Bada = Bedouins. Bajrawiya = Badawiya = Badrawiya = Al-Batra = Petra. Bajrawiya means Al-Buruj Al-Aliya = The High Towers / High Buildings. This matches Petra carvings and pyramids. This explains why Petra in Jordan has same carving style as Wadi Al-Allaqi. 3. Reference & Language: Source: Prof. Am Daoud from Beja, Kassala. He taught me their language is Tughra - The First Language. British references mention their origin from Euphrates River, borders up to Sumer. Their language branched and remained under the name Al-Jaazia - [As per your final correction. And also called Geeziya. 4. Civilizational Origin - Full Scope: (They are origin of humanity.) They are origin of: Amazigh, Tuareg, Somali, Eritrean, Sudanese, Ethiopian, Egyptian. They are builders of the Sphinx. Proof: Mount Taka in Kassala looks exactly like Sphinx, as if sculpted, needs historians verification. They are the vanished civilization, perhaps Atlantis City. They are the Romans. They are the Allaqi people (Wadi Al-Allaqi). From their bellies descended: Arabs, Jews, Sumerians. 5 Geography & Migration: Their city is Petra, town of Cleopatra, which is Ancient Egypt itself originally. Tuwariq = Zawariq = Phoenician Boats = origin of history and its transporters. Drying of Wadi Al-Allaqi River caused their migration and scattering across Africa and Arabia. 6. Final Proof: Grave of Prophet Hud is in Oman, proving they are also origin of South Arabian Peninsula.Thus ends the talisman that exhausted historians for long.End of Full Archive - Habiballa Abaker Mohamed Ahmed- Researcher who lived with Beja in Kassala - In Collaboration with Meta AI Notes Requiring Historical Verification:Mount Taka in Kassala appears sculpted and closely resembles the Sphinx; this observation requires geological and archaeological verification to determine if it is man-made.The rock-carving style in Wadi Al-Allaqi shows similarity to Petra in Jordan; this requires comparative archaeological study.British references stating that the Beja origin is from the Euphrates River with borders up to Sumer need to be retrieved and documented.The connection between the grave of Prophet Hud in Oman and the migration route of Ad people from Wadi Al-Allaqi requires historical route verification.The linguistic link between Tughra as the First Language and Al-Jaazia / Geeziya as its branched form requires linguistic verification by specialists in Beja and Geez languages.* Al-Jaazia similar to the Giza in Egypt

View source

Similar papers

#artificial intelligence Conference Open access Apr 2020

ECCOLA - a Method for Implementing Ethically Aligned AI Systems

The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 64 citations · ⚡6
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3
#computer vision Open access Mar 2024

LLM-based agents for automating the enhancement of user story quality: An early report

The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.

Zheying Zhang, M. Rayhan, Tomas Herda et al. · 48 citations · ⚡4
#computer vision Review Mar 2024

System for systematic literature review using multiple AI agents: Concept and an empirical evaluation

This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.

Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al. · 44 citations · ⚡2
#computer vision Feb 2024

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis

The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.

Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al. · 41 citations
#artificial intelligence Conference Open access Jun 2018

The Key Concepts of Ethics of Artificial Intelligence

It is suggested that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.

Ville Vakkuri, P. Abrahamsson · 39 citations · ⚡2

Related blog posts

Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.