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AE Coin Launch Imminent After Gaining CBUAE Approval

Pegged to the UAE Dirham, the UAE’s first stablecoin is set to revolutionize digital payments while offering secure, efficient transactions.

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ae coin launch imminent after gaining cbuae approval

AE Coin, the UAE’s first stablecoin, has officially received a license and go-ahead to launch from the Central Bank of the UAE (CBUAE). The news signals a major step in the region’s digital transformation and the UAE government’s vision for financial innovation.

Developed under the CBUAE’s digital payment token framework, AE Coin aims to reshape financial services with the promise of faster, secure and more cost-efficient transactions. The stablecoin is designed to merge traditional fiat currencies with the efficiency of blockchain, with each AE Coin pegged 1:1 with the UAE Dirham, ensuring stability and trust. Its goal goes beyond streamlining financial transactions to creating an inclusive financial ecosystem for both individuals and businesses.

With blockchain as its backbone, AE Coin offers transparency and efficiency without compromising reliability. Its potential spans various industries, from e-commerce to remittances and decentralized finance (DeFi). By empowering financial inclusion and fostering innovation, the coin’s creators hope it will become a key part of the UAE’s push for a future-ready digital economy.

Ramez Rafeek, General Manager of AE Coin, highlighted the transformative power of the project:

“AE Coin harnesses the speed and efficiency of blockchain technology […] simplifying transfers, making them faster and more seamless. In a rapidly evolving digital world, AE Coin sets a new standard for trust, security, and innovation in digital currency”.

Also Read: Jordan’s $45M Push To Boost E-Government & Digital Economy

AE Coin’s ongoing strategy includes forging partnerships with financial institutions, payment gateways, and tech firms to drive adoption rates. Future initiatives also aim to integrate AE Coin with decentralized applications, secure listings on prominent cryptocurrency exchanges, and continually enhance its cutting-edge technology.

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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.

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nvidia puts gpt-5.5 codex in hands of 10000 staff
NVIDIA

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.

openai's new gpt-5.5 powers codex on nvidia infrastructure 2

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.

Also Read: Deezer Says AI Tracks Now Make Up 44% Of Uploads

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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