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Truecaller For iPhone Gets Real-Time Caller ID And Auto Spam Blocking
The latest update integrates with Apple’s Live Caller ID Lookup framework, launched with iOS 18 last year.
Truecaller has rolled out a major update for iPhone users, introducing API support that brings real-time caller identification and automatic spam blocking. The upgrade aims to bring the iOS version of the app closer to its Android counterpart, which has long offered these advanced call-screening features.
The latest update integrates with Apple’s Live Caller ID Lookup framework, launched with iOS 18 last year. The technology allows third-party apps to cross-check incoming calls against a database of known spam numbers in real-time. Importantly, the process employs “homomorphic encryption,” ensuring user privacy by masking the caller’s number, concealing the client’s IP address, and using anonymous authentication.
With this update, Truecaller has also introduced global automatic spam call blocking for iPhones. However, the real-time caller ID feature is being released gradually and is available only to Truecaller Premium subscribers on iPhones running iOS 18.2 or later. Free users will still have access to ad-supported features, such as manual number searches and caller identification for verified businesses.
How To Enable The New Features
To activate the new features, follow these steps:
- Update the Truecaller app to version 14.0 or newer via the App Store.
- Go to Settings > Apps > Phone > Call Blocking & Identification on your iPhone.
- Turn on all Truecaller toggles, then restart the app.
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While these features are new to iOS, Truecaller has hinted at this update for months. Following Apple’s iOS 18 update and the introduction of its Live Caller ID API last September, Truecaller Co-founder Alan Mamedi shared his excitement on X (formerly Twitter), saying, “Truecaller finally works on iPhone”.
The global rollout of spam call blocking is already live, but users may need to wait for gradual access to the live caller ID feature.
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
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