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WeRide & Uber Join Forces To Launch Autonomous Rides In UAE
The partnership will first bring autonomous vehicles to Abu Dhabi, with Uber leveraging WeRide’s extensive robotaxi expertise.
Autonomous vehicle experts WeRide have partnered with Uber Technologies to form a strategic collaboration that will integrate the Chinese tech firm’s autonomous vehicles into Uber’s ride-hailing app, starting in the United Arab Emirates.
After revealing news of the partnership, Tony Han, founder and CEO of WeRide, said: “We are honored to partner with Uber to continue to bring our technology to global markets. Together, we aim to combine our collective experience and expertise to deliver much-needed, affordable, sustainable, and safe mobility solutions to a global audience”.
In addition, Dara Khosrowshahi, CEO of Uber, added: “Uber is very excited to partner with WeRide. It’s clear that the future of mobility will be increasingly shared, electric, and autonomous, and we look forward to working with leading AV companies like WeRide to help bring the benefits of autonomous technology to cities around the world”.
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The results of the collaboration will hopefully be seen later this year in Abu Dhabi, where a select number of WeRide autonomous vehicles will make their debut for Uber rides across the Emirate. Once the service is live, users who request eligible trips through the Uber app may get the opportunity to travel in a WeRide autonomous vehicle for their journey. The trial scheme is currently limited to the UAE, with no immediate plans by either company for expansion to regions such as the United States or China.
WeRide already operates the largest fleet of robotaxis in the UAE, with its services accessible through the TXAI app. Moreover, in July 2023, the tech company received the UAE’s first national license for self-driving cars, which authorized the testing and operation of autonomous vehicles on public roads throughout the country.
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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.
