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Belkin Launches Wireless HDMI Adapter With 131-Foot Range

The ConnectAir adapter mirrors screens without Wi-Fi, targeting presentations, travel use, and mixed-device setups.

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belkin launches new wireless hdmi adapter with 131 foot range
Belkin

Belkin has introduced a wireless display adapter that pushes screen mirroring well beyond usual cable lengths — and does it without relying on local Wi-Fi networks or software platforms.

The ConnectAir Wireless HDMI Display Adapter pairs a USB-C transmitter for laptops, tablets, and smartphones with an HDMI receiver plugged into a TV or projector. There are no drivers to install and no apps to manage. Belkin says the system can send video up to 131 feet, a range aimed squarely at conference rooms, classrooms, and temporary setups like hotel rooms or event spaces.

The pitch is flexibility: Unlike AirPlay or Google Cast, the adapter isn’t tied to a specific ecosystem. Any device that can output video over USB-C will work, as long as the destination screen has an HDMI port. Video tops out at 1080p at 60Hz. The receiver itself needs power via USB-A, which may mean leaning on a display’s spare port or an external adapter.

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The link runs over a dedicated 5GHz wireless connection rather than a local network. Belkin says the signal can pass through walls, though distance and reliability will vary depending on materials and layout. One receiver can also be paired with up to eight transmitters, letting multiple users switch presenters without touching a ceiling-mounted projector or hard-to-reach screen.

The ConnectAir adapter is expected to ship in select markets in the first quarter of 2026, priced at $149.99.

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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.

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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.

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