[mylesp]

This whole article reads like it was written by someone with no ability to step back for a second and think of other much easier solutions. They just go all in on the first thing they think of even when it is not effective at all.

Just increase the increment size, or if you really want 1c increments you could precompute every 5c or so and then just do linear interpolation between them.

[EGreg]

Yeah dude, seriously…

Linear interpolation on small intervals is like, a model of a model. And that’s exactly what differentiable functions are, anyway. And if you want to be fancier then sample the model and fit some polynomials to interpolate between those samples.

If they were really time constrained they could precompute things sparsely first (for a demo the next day) and then progressively refine the values in between.

Why did this trend on HN?