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Dubai Plans To Deploy Driverless Pods And Green Rail Buses
The high-tech transport systems will facilitate eco-friendly, sustainable travel and reduce carbon emissions by as much as 50%.
Dubai is expanding its range of sustainable transportation options with the addition of autonomous pods and a solar-powered rail bus system. The forward-thinking move will complement the city’s already ambitious projects, such as flying cars and robotaxis.
The Roads and Transport Authority (RTA) recently signed two Memorandums of Understanding (MoUs) with UK and US-based private companies to bring innovative transportation solutions to Dubai.
The initial MoU was established with Urban.MASS, a UK-based firm, to explore the feasibility of deploying these new transportation systems. According to Abdul Mohsen Kalbat, CEO of RTA, the solar-powered rail buses will run on double tracks, facilitating swift and efficient movement throughout the city. During the initial pilot phase, authorities hope to reduce carbon emissions by an impressive 50%.
The RTA has also partnered with Rail Bus, a US company, to introduce a sustainable transport system where vehicles travel on a bridge equipped with solar panels. RTA CEO Kalbat explained that the system will feature a contemporary design and be more cost-effective than similar transportation alternatives.
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Dubai’s vision for the future of transportation aligns with the city’s commitment to sustainability and eco-friendliness and strengthens the Emitate’s reputation as a pioneer in modern urban mobility.
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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