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Ring Upgrades Home Security With New Ring Protect Plus Features
The latest update allows users to access exclusive new features such as Multi-Cam Live View and Priority Alerts.
Home security expert Ring has revealed five new features for its Ring Protect Plus subscription:
- Live View
- Picture-in-Picture
- Multi-Cam Live View
- Snapshot Capture Plus
- Priority Alerts
- Event Summary
The update should help users boost security and get more value out of their doorbell or camera systems, along with extra peace of mind.
The new video tools, such as Live View Picture-in-Picture, Multi-Cam Live View, and Snapshot Capture Plus, offer insights into activating, viewing, deleting, and downloading snapshots and allow adjustments to snapshot frequency.
Meanwhile, the Enhanced Notifications feature allows users to customize notifications and keep up with what’s happening at home. In addition, a Priority Alerts tool enables alerts when a mobile device is in Do Not Disturb mode and can override settings like Alerts Snooze and Motion Schedules. Finally, the Event Summary feature offers a daily digest of all events and recordings.
“We have always focused on home security solutions that are flexible to work in any space,” said Mohammad Meraj Hoda, Ring’s Vice President of Emerging Markets. “We are seeing more households turn to Ring for the peace of mind that comes from knowing their homes are secure. We’re giving our customers tools they need to build a home security system exactly the way they need it”.
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Ring Protect Plus covers unlimited Ring Video Doorbells and Cameras for a single location. However, the company also offers a Basic plan covering a single Ring Video Doorbell or Security Camera at one location. With both Basic and Plus plans, users can save, share, and download clips of any detected events for up to 180 days.
The company is currently offering a free 30-day free trial to its Ring Protect service with any Ring Video Doorbell or Security Camera purchase. The Ring Protect Plus subscription can be purchased later for $10/month or $100/year.
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.
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