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Lebanese Newspaper Builds AI President To Beat Political Crisis

The move by media outlet AnNahar comes after 13 failed attempts by the Lebanese parliament to elect a new leader.

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lebanese newspaper builds ai president to beat political crisis
OurPresident.ai

In a world first, Lebanon’s AnNahar Newspaper has built an artificial intelligence model designed to carry out presidential duties for the politically troubled country. Lebanon has been without a sitting president for two years after thirteen failed attempts by the nation’s parliament to elect a suitable candidate.

The new AI President’s deep learning algorithm was fed over 90 years of impartial journalism from AnNahar’s archive stretching back to the 1930s. The AI leader analyzes not only historical data but also current events and is able to formulate solutions for all manner of political, legal, and governmental questions. By tapping into such a vast knowledge base, Lebanon’s AI President will have a deep understanding of the country’s past, as well as an unbiased take on the challenges the nation faces going forward.

lebanon our president ai platform annahar

The new AI President was unveiled in a recent live broadcast. Nayla Tueni, editor-in-chief of AnNahar Newspaper conducted an interview with the digital leader, asking relevant questions about the current state of Lebanon, and how to fix the country’s difficult political situation. AnNahar has also converted its print newspaper to focus entirely on the new president’s guidance on issues spanning everything from the economy to sustainability and the environment.

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After the interview, Nayla Tueni commented: “As Lebanese people, and especially at AnNahar, we refuse to sit back and allow things to go on as they have. To not have a president for this long is unacceptable and has impacted the country negatively. If the parliament will not do its job to elect a president, then the people will bring to Lebanon a president”.

The AI President will soon be accessible to everyone at OurPresident.ai, Users will be able to ask questions in a similar manner to the likes of ChatGPT and Google Gemini. It is also understood that government officials will also use the tool to help devise new directives.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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