📰 Dev.to · Harry Floyd

Stanford and Tsinghua ran a controlled experiment: same model, same task, different harness. A 6x performance gap. Here is what developers need to know.

Three lenses to evaluate whether an AI tool removes more decisions than it adds, with concrete thresholds and worked examples.

NVIDIA Q1 FY2027 revenue $81.6B (+85% YoY) — but the structural story is networking revenue surging 199% as the AI bottleneck migrates from GPU compute to inter

Three infrastructure bottlenecks that persist regardless of NVIDIA earnings — grid transformers, optical interconnects, and evaluation infrastructure.

GPU rental, API pricing, and the infrastructure math that determines whether your AI feature makes money.

If frontier AI capability keeps centralising, the durable edge shifts outward into trust, workflow fit, and the surrounding package.