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Democratic Republic Of Congo Embarks On Meta Collaboration
The recent visit by DRC cyberdefense experts laid the framework for the Facebook parent company to provide training in security and technology.
In an increasingly connected world, cyberdefense has become a major concern for governments worldwide. The Democratic Republic of Congo (DRC) is no exception to this new reality, and to combat the ongoing threat, the country has created a brand new National Cyber Defense Council (CNC).
Recently, A team from the CNC paid a high-profile visit to Facebook’s parent company, Meta, for a pivotal meeting that laid the groundwork for a collaborative partnership. During the visit, a diverse array of topics were discussed, ranging from cyberdefense challenges to the need to enhance the technological capabilities of the DRC.
One of the major outcomes of the visit was an agreement to establish a framework where Meta will provide specialized training in security and technology to enhance the skills of agents in the DRC.
The initiative underscores Meta’s commitment to boosting digital literacy in the region but also represents a major step towards empowering individuals and institutions in the Democratic Republic of Congo to effectively navigate an increasingly complex digital landscape.
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In addition to a proposed training program, the visit facilitated an introduction to Rapidev, a group of companies specializing in electronic warfare, cyberdefense and anti-drone systems. Leveraging Rapidev’s expertise in security applications, combined with Meta’s online prowess, will enable the DRC to create innovative solutions to the country’s unique security challenges.
According to CNC head Jean-Claude Bukasa, the visit to Meta was not only successful but represented more than just a diplomatic exchange: “It symbolizes a shared commitment to leveraging technology for the betterment of society. As we embark on this collaborative journey, let us seize the opportunities that lie ahead and work towards a future where innovation, security, and prosperity go hand in hand”.
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UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks
The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.
Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.
Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.
Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.
TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.
“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.
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Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.
Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.
As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.
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