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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.
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.
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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At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value
Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.
Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.
The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.
Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.
The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.
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Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.
What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.
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