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Applied AI·August 8, 2026·1 min read

The great privacy revolt: people are pushing back against the glasses that record, the earbuds that eavesdrop and the TVs watching our lives — here’s what we can do about it, according to an AI research CEO and a digital rights advocate

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The backlash against ‘always-listening’ devices is less about the cloud and more about the quiet spread of cheap, on-device AI that never needed to phone home. Hardware and AI teams should assume opt-in, visible capture cues, and local processing as the regulatory and consumer baseline, not a premium feature.

Applied AI

'AI success will be defined not by how much infrastructure organizations own, but by how productively they use it': Nvidia lays out its thoughts on how storage has become the next frontier of AI

Decoupling GPUs from the I/O path and open-sourcing the storage interface is a bet that storage bandwidth — not just FLOPs — is now a primary AI bottleneck. If you're planning large training or retrieval-heavy workloads, your storage architecture and data locality strategy matter as much as your GPU count.