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Instagram Reels Has Arrived To The Middle East
Instagram’s long awaited short-form video-sharing feature, Instagram Reels, has finally started rolling out in the Middle East. During Instagram’s previous “House of Instagram” event, the company announced that Reels would be a brand-new way for content creators and businesses in the MENA region to create and discover short and entertaining videos. The announcement of Reels comes just days after Instagram released Instagram Music in the Middle East.
Reels allows users to take and edit multi-clip videos up to 30 seconds long, with the ability to add effects and other new tools dedicated to this feature. Once taken, users can share Reels with their followers (for private accounts) and potentially with the entire Instagram community (your account will need to be set to public).

If you have the latest version of Instagram installed on your smartphone, you should see the Reels icon in the bottom center of the app’s homepage.
“Self-expression and versatility are part of the creative DNA of the region’s Gen Z and millennial population. As one of the primary platforms for this group of creators, we have always sought to adapt our features to what they need. With Reels, they now have more leverage when it comes to creating and sharing short-form content. Reels provides our community with greater freedom and flexibility to innovate, experiment and elevate their content, and we cannot wait to discover a new generation of talent via the feature.” said Samer Jamal, strategic partner manager at Instagram MENA.
Also Read: How To Find & Cancel Pending Instagram Requests
Instagram isn’t the only company to explore this type of short-form content. Last September, YouTube announced a similar feature called “Shorts” which gives creators the ability to capture short and catchy videos straight from their smartphone.
News
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.
Also Read: Governata Raises $4M For Saudi AI Data-Governance Push
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.
