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WhatsApp Upgrades Video Calls With New Features: A Guide
The platform’s latest update adds filters, backgrounds, and a Low Light feature, improving both usability and privacy.
WhatsApp has rolled out a series of exciting updates for its video calling feature, aimed at making conversations more dynamic and enjoyable. The new features allow users to customize their video calls with filters and backgrounds, giving each call a personal touch.
One of the most highly-anticipated additions is the introduction of filters: Users can now apply creative visual effects to their videos, ranging from vibrant color schemes to artistic styles.
now you can add backgrounds and filters on video calls 🤳 set the vibe and show up in new ways, it’s your call pic.twitter.com/LNVWfaKCBy
— WhatsApp (@WhatsApp) October 1, 2024
There are ten filters to choose from, including options like Warm, Cool, Black & White, and Dreamy. Each one sets a different tone, allowing users to pick a filter that suits the mood of their conversation. This feature helps make video calls more engaging and visually appealing.
Another useful upgrade is the ability to change backgrounds during video calls. Users can now replace their actual surroundings with various preset scenes, helping maintain privacy or simply creating a more visually interesting call.
For example, users can appear to be sitting in a cozy living room, a bustling café, or on a serene beach. There’s also a blur option to subtly obscure the background, keeping the focus on you. With ten backgrounds to choose from, this feature ensures flexibility and privacy during calls.
Also Read: How To Find & Cancel Pending Instagram Requests
Additionally, WhatsApp now includes a Low Light mode, which enhances brightness in poorly lit environments, ensuring that your video remains clear regardless of your surroundings. This feature is especially helpful when making calls in dimly lit areas.
To access these new features, simply tap the effects icon in the top right corner of your screen during a video call. Whether you’re on a one-on-one or group call, these updates are easy to use and available in an instant.
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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.
