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HiFuture’s New Smartwatch Packs Dual Band GPS & AMOLED Display

The model, known as ACTIVE, also features AI fitness tracking, 5 ATM water resistance, and a powerful dual-core processor.

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hifuture's new smartwatch packs dual band gps and amoled display

Chinese tech firm HiFuture has launched a new smartwatch known as the ACTIVE, which blends advanced features with an elegant aesthetic. The timepiece is engineered to enhance fitness routines, outdoor adventures, and daily activities, all while maintaining a sleek and modern look.

At the heart of the HiFuture ACTIVE is a large, circular, 1.43-inch AMOLED display, offering vibrant colors, sharp details, and excellent visibility, even in bright outdoor conditions.

hifuture new active smartwatch

The smartwatch also includes Dual Band GPS, delivering highly accurate location tracking, whether you’re hiking, running, or cycling. It supports a wide range of satellite navigation systems, such as GPS, GLONASS, Galileo, BeiDou, IRNSS, and QZSS, making the watch an ideal companion for outdoor enthusiasts who need reliable navigation support during their adventures.

Powered by Syntra AI, HiFuture’s ACTIVE smartwatch is able to adapt to users’ routines. Syntra AI monitors sports activities, provides detailed sleep analysis, tracks heart health, and offers fitness insights to help users make the most of their smartwatch. The adaptive system also ensures efficient power usage and personalizes the experience based on individual fitness goals and habits.

Also Read: UGREEN Nexode Pro Review: Portable Yet Powerful Chargers

In terms of speed and performance, the ACTIVE smartwatch features a powerful dual-core processor. The advanced CPU ensures fast multitasking, quick app launches, and immediate access to health data.

Finally, the ACTIVE smartwatch also has a 5 ATM waterproof rating, making it perfect for swimming, running in the rain, or participating in water sports. Additionally, the watch supports over 100 sports modes, including swimming, cycling, yoga, and more, making it a versatile fitness companion for users with varied physical interests.

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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.

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nvidia puts gpt-5.5 codex in hands of 10000 staff
NVIDIA

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.

openai's new gpt-5.5 powers codex on nvidia infrastructure 2

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.

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