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Dubai Startup Creates Iron Man-Style Smart Contact Lens
XPANCEO’s futuristic eyewear can be controlled using voice, gestures, glances, and “probably later, your mind”, according to the company’s founder.
Dubai-based tech startup XPANCEO has revealed prototypes of its smart contact lens system, which aims to mimic the technology used by Tony Stark in the famous Marvel Iron Man and Avengers movies.
After a seed funding round this October, the company has already raised $40 million and plans to put the device on the market by 2027 if human trials are successful.
Founder Roman Axelrod explained the motivation behind the project, saying, “Now, we have our laptops for the office, smartphones for daily activities, and smartwatches for training … a real computer of the future is an ecosystem of software. Think about it as a Tony Stark computer”.
XPANCEO has built three prototypes, offering an “infinite” extended reality view where tasks from documents, meetings, social media, and gaming will be shown in the user’s field of view and visible only to the wearer.
The lenses are powered by artificial intelligence and machine learning and will also include night vision, voice, gesture, and glance control. Mr. Axelrod even believes that later versions will be controlled by the user’s mind. The company is also developing a charging case similar to those used by wireless earbuds.
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Ultimately, XPANCEO aims to replace all the devices consumers currently use with this hyper-miniaturized gadget. The company has yet to decide on a price for its smart contact lens, but “it has to be no more than an expensive smartphone”, Mr. Axelrod explained.
That would imply a four-figure sum in US dollar terms: for reference, the most expensive version of the iPhone 15 Pro Max is priced at $1,599.
News
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.
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
Deezer Says AI Tracks Now Make Up 44% Of Uploads
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