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Here’s what’s in store for you today:
📰 AI NEWS

• 🌦️ Nvidia’s New AI Weather Models Could Predict Storms Weeks Ahead

• 🚦 AI Predicts Road Crashes Before They Happen

• 💸 Meta Testing Premium Subscriptions on Instagram, Facebook and WhatsApp

LATEST DEVELOPMENT

🌦️ Nvidia’s New AI Weather Models Could Predict Storms Weeks Ahead

Nvidia has unveiled a new suite of AI-powered weather forecasting systems designed to deliver faster and more accurate predictions than traditional physics-based models — and potentially spot major storms much earlier.

The new models are built to handle both long-range and short-term forecasting. One focuses on predicting up to two weeks ahead across dozens of atmospheric variables, while another specializes in near-term storm tracking. A third rapidly absorbs real-time observations to keep forecasts constantly updated.

Powered by Nvidia’s GPUs, the system can run far quicker than conventional supercomputer simulations, allowing forecasters to test multiple scenarios in minutes instead of hours.

Weather prediction is critical for disaster preparedness, energy planning and insurance. Faster AI models could help communities prepare earlier for extreme events — from blizzards to hurricanes — at a time when climate volatility is increasing.

⚡ Microsoft Unveils a Powerful New AI Inference Chip

Microsoft has announced a next-generation AI inference chip designed to dramatically accelerate the performance of large AI models while cutting energy use. The new processor is part of Microsoft’s broader push to optimize AI workloads across its cloud services and internal products.

The chip is purpose-built for AI inference — the stage where trained models are used to generate predictions, responses, or insights. Unlike chips focused on training, inference processors need to deliver high throughput and low latency, especially for real-time applications like chatbots, search, and recommendation systems.

Microsoft says this new silicon provides substantial speed and efficiency gains, making it easier to run powerful AI models at scale without relying solely on traditional GPU clusters. The design also aims to reduce operational costs and energy consumption for data centers.

As generative AI becomes more widespread, efficient inference hardware is crucial for making AI services responsive and cost-effective. Microsoft’s new chip could help keep AI experiences fast and affordable, particularly for enterprise customers and developers relying on cloud AI APIs and real-time services.

By building its own inference hardware, Microsoft joins other major tech firms investing in custom AI silicon — a shift that could redefine how AI infrastructure is designed and deployed in the years ahead.

💸 Meta Testing Premium Subscriptions on Instagram, Facebook and WhatsApp

Meta is rolling out premium subscription tests across its biggest social apps — Instagram, Facebook and WhatsApp — as it explores new ways to generate revenue beyond advertising.

The pilot programs offer optional paid tiers that give users access to enhanced features. While details are still evolving, these could include things like:

• Advanced customization options

• Expanded privacy or control settings

• Priority support or verified badges

• Exclusive content experiences

The exact features and prices vary across apps and regions as Meta gauges user interest and feedback.

Meta has relied heavily on advertising for revenue for years. With digital ad markets facing pressure and competition intensifying from AI-driven platforms, subscription services could provide a new, more stable income stream.

For users, this raises questions about what features will stay free and what will become premium. How Meta balances value and cost will be key to adoption.

Meta plans to gather data from the tests before deciding whether to expand the subscription options more broadly. Depending on user response, this could reshape how millions use these core social platforms — blending free experiences with optional paid upgrades.

QUICK HITS

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