News
New DJI Mini 2 SE Drone Has A 10km Range & Costs Just $369
The latest upgrade is only a modest one, but still represents great value for money.
After multiple circulating rumors, DJI will release a new Mini 2 SE drone with a couple of modest updates over the existing entry-level model. Notably, DJI has added its in-house OcuSync 2.0 transmission system to the new model, so the device can now fly more than twice as far as the original Mini SE, which maxed out at 4km.
The new system should also make for more stable video feeds at the further end of the drone’s range, though many regions now have laws in place to limit flying to line-of-sight distances.
DJI claims its latest drone can fly for 31 minutes on a fully-charged battery, which is roughly the same as the outgoing model, adding just one extra minute of flight. As for the rest of the drone’s specs, things look pretty identical to the previous model. The Mini 2 SE tips the scales at 249 grams and retains the existing camera system with a three-axis gimbal and 1/2.3-inch CMOS sensor able to capture 2.7K video and 12MP stills.
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The DJI Mini 2 SE will be available for $369 on its release in March. However, you’ll also be able to purchase a “Fly More Combo” that adds additional batteries, replacement propellers, and a carrying case for $519.
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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