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Virtual Arab Influencer Takes Crown At Miss AI Beauty Pageant
Moroccan virtual influencer Kenza Layli won the Miss Artificial Intelligence Beauty title, netting her creator a prize of $13,000.
It might sound unconventional — and perhaps even a little creepy — but there’s now an artificial intelligence (AI) beauty pageant. The unique event saw 1,500 AI-generated female influencers from around the globe competing for the title of Miss Artificial Intelligence Beauty. The competition was introduced as part of the World AI Creator Awards (WAICAs) in partnership with the content creation platform Fanvue.
During the online broadcast of the ceremony, the “Moroccan virtual influencer” Kenza Layli was crowned Miss Artificial Intelligence Beauty, winning a grand prize of $13,000 for her creator. The French virtual influencer “Lalina” secured the first runner-up position with a $5,000 prize, while the second runner-up was the Portuguese influencer called “Olivia C,” who received $2,000.
Participating in the Miss Artificial Intelligence competition involves building virtual female social media influencers using programs such as OpenAI’s DALL·E 3 and Midjourney. Creators submit their influencers’ pictures and answer typical pageant questions such as, “How can you make the world a better place?” They also need to provide technical details about the AI used in designing their characters.
The jury then selects a winner based on three main criteria:
- Beauty: Contestants are evaluated on traditional pageantry aspects, including physical appearance, poise, and style.
- Social Clout: The social influence of AI creators is assessed based on engagement numbers, audience growth, and cross-platform presence.
- Tech: Contestants are judged on their proficiency with AI tools, including the quality of prompts and the final visual details — especially around hands and eyes, where AI generators often struggle.
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Upon crowning the winner, the judges expressed their admiration for the advanced technology behind the AI beauty and her “personality.” Kenza stood out thanks to her sophisticated features and an impressive 190,000 followers on Instagram. She is capable of speaking seven languages and can interact with fans in real-time, including in a Moroccan local dialect. “Winning Miss AI motivates me even more to continue my work in advancing AI technology,” stated Kenza’s creator.
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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.
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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