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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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NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.
Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
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