News
BlackBerry Has Officially Pulled The Plug On Older Devices
The company is pulling the plug because it has been focusing exclusively on delivering enterprise software and services to enterprises and governments.
Long gone are the days when BlackBerry smartphones dominated the world of business with their characteristic QWERTY keyboards that made it possible for managers to bombard employees with text messages and emails at a much faster rate than phones with the old-school keypad allowed.
Now, older BlackBerry devices have turned from unused to unusable because the legacy services for BlackBerry 7.1 OS and earlier, BlackBerry 10 software, BlackBerry PlayBook OS 2.1 and earlier versions are no longer available from January 4, 2022.
“As of this date, devices running these legacy services and software through either carrier or Wi-Fi connections will no longer reliably function, including for data, phone calls, SMS, and 9-1-1 functionality” stated the company in their announcement.
The company is pulling the plug because it has been focusing exclusively on delivering enterprise software and services to enterprises and governments since it discontinued its BlackBerry line in 2016 and changed its name from Research In Motion (RIM) to BlackBerry Limited.
The last mobile phone operating system released by RIM is BlackBerry 10, which became available in 2013 and reached its last version (10.3.3.3216) on April 4, 2018. Since then, Chinese electronics giant TCL released several BlackBerry-branded phones, but their reception was lukewarm at best.
Also Read: How To Enable WhatsApp Disappearing Messages For All Chats
In August 2020, the BlackBerry brand changed hands again when it was picked up by OnwardMobility, a US-based company in the mobile security space. The company announced a new BlackBerry 5G smartphone with a physical keyboard, but it has already missed the advertised release date of 2021 by a few days, and there’s no indication that the smartphone will hit the shelves any time soon.
Indeed, it’s possible that OnwardMobility has realized that the demand for a smartphone with a physical keyboard simply isn’t there anymore because most consumers have gotten used to typing on increasingly intelligent virtual keyboards on their 6-inch and larger smartphone displays.
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
