I wanted to start a broader practical use cases thread around AI PCs & Laptops.
A useful angle is performance, but it also connects with reliability. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI PCs & Laptops is genuinely useful and where it still needs improvement.
A useful angle is performance, but it also connects with reliability. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI PCs & Laptops is genuinely useful and where it still needs improvement.