News
Truecaller For iPhone Sees Complete Overhaul
The Truecaller iPhone app has been completely rebuilt for greater efficiency, with scam and business call identification that’s 10 times better than the previous version.
iOS users have just been treated to a new version of the popular Truecaller app, which is now in its 12th iteration and promises to be much smaller in size while enjoying a serious boost in speed and efficiency — even on older devices.
Truecaller uses a bespoke spam caller algorithm that works in the background of iOS, updated by the Truecaller community, to spot any malicious or spam calls before they ruin your day. The app now boasts some of the best and most accurate caller ID and scam blocking smarts in existence, and automatically updates its intel without users needing to put in any manual work.
The app has also had a total design refresh, resulting in much quicker navigation and a more intuitive layout, special caller ID Emojis that easily identify the type of incoming call at a glance, as well as powerful search function.
“We’ve been innovating within Apple’s platform to bring users more powerful features like Call Alerts and a convenient search extension. This update has been a long time coming for many iPhone users, and now we can offer them the best performing identifier of spam and scam to help them separate the noise from the communication they want to respond to,” says Alan Mamedi, Co-founder and CEO of Truecaller.
Also Read: Cameo’s New Feature Allows Live Calls With Celebrities
According to the company’s website, Truecaller 12 will offer significant improvements to SMS filtering and spam detection, as well as the following valuable updates:
- 10x better Caller ID and protection against spam and scammers.
- Simple onboarding for new users.
- Enhanced detail view when searching for numbers.
- Redesigned search extension and number lookup widget.
As well as the main auto-blocking feature, Truecaller will now offer detailed spam stats and the ability to comment on spam numbers in the log, making for a genuinely valuable and powerful iOS app.
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.
Also Read: Deezer Says AI Tracks Now Make Up 44% Of Uploads
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
Yango Ride Introduces In-Chat Trip Planning In ChatGPT
Nano Banana 2 Arrives In MENA For Google Gemini Users
