A hacker collective pulled firmware from a Flock ALPR camera, revealing hard-coded API keys, eight-year-old Android vulnerabilities, and credentials to production infrastructure.
NVIDIA’s new CUDA Rust projects let you write GPU kernels natively in Rust. Here’s what it means for systems architecture, safety, and the future of high-performance computing.
Apple may sell AI servers with M8 Ultra chips and Nvidia networking by 2029. We break down the Xserve ghosts, the NVLink Fusion deal, and why this might actually work.
A developer’s month-long test of Qwen 3.8 27B shows local inference rivaling commercial cloud models. Benchmarks, exact specs, and the brutal reality of reasoning token sprawl.
Mozilla’s latest report shows Chinese open-weight models are just 4.4 months behind US frontier offerings at a fraction of the cost. Here’s what that means for the AI race.
Why cash-strapped startups are swapping full-time PM salaries for part-time product expertise, and what it means for how we build software.
CrofAI promised the world’s cheapest tokens. It delivered OpenRouter reroutes, fake models, and a case study in why cheap AI inference is often too good to be true.
When adding range as a feature boosts F1 scores but teaches your classifier that distance equals size, you’ve built a model that fails in the real world. Here’s how to catch it.
Product managers are now expected to pass system design interviews and prototype with LLMs. Is this engineering creep a necessary evolution or a dangerous blurring of roles?
When Redis goes down, your distributed circuit breaker faces a choice: fail open, fail closed, or something smarter. Here’s how to survive coordinator failure without cooking your dependency.
UkisAI’s post-trained Qwen cuts thinking tokens by 58% and doubles speed with under 1% accuracy loss. Here’s how they did it without crippling the model.
The new RTX PRO 5500 Blackwell packs 84GB VRAM and RTX 5090 specs into a workstation GPU designed for racks, not desktops. Here’s why this quietly announced card is reshaping the AI hardware landscape.
