Tech

Amazon is in talks to acquire Globalstar, the satellite telecom firm that powers Apple's emergency SOS feature. A 20% Apple stake is complicating everything — and the stakes go beyond one deal.

Oil prices topping $100 a barrel is making headlines. But the quieter crisis—plastic feedstocks—could hit consumers harder and last far longer. Here's why replacing plastic is harder than replacing fossil fuels.

Nvidia's new Auto Shader Compilation feature pre-builds DirectX shaders during idle time, aiming to cut those frustrating load-screen waits after driver updates. Here's what it actually means.

The Supreme Court heard arguments over Trump's birthright citizenship order. The justices seemed skeptical—but the fact that this case made it to the highest court signals something bigger.

NASA's Artemis II launched four astronauts toward lunar orbit on the most powerful rocket ever flown by humans. Here's what's really at stake beyond the spectacle.

NASA's Artemis II launched Wednesday, sending four astronauts toward the Moon for the first time in 54 years. What this mission means, who's watching, and what happens next.

A surprise leak of Anthropic's Claude Code source code revealed 'Kairos'—a dormant background AI agent designed to act before you even ask. Here's what it means.

NASA's Artemis II sends four astronauts around the Moon this week. It's more than a space mission — it's the opening move in a geopolitical race for lunar resources that could reshape the next century.

For the first time since 1972, astronauts are heading toward the Moon. But the Artemis program is less about planting flags and more about who gets to stay—and why that changes everything.

OpenAI's revamped shopping assistant in ChatGPT confidently recommended products WIRED never reviewed—raising urgent questions about AI reliability in consumer decisions.

Ollama now supports Apple's MLX framework, bringing meaningfully faster local AI to Apple Silicon Macs. Here's why that matters beyond the benchmark numbers.

High benchmark scores aren't translating to real-world performance. A UCL researcher argues it's time to stop testing AI in a vacuum and start measuring what it does inside human teams.