uninformedprior

It's possible I wasn't specific enough when I said "graphics". Typically I blend in CIELAB when interpolating between colors for visualizations (eg data science).

But I'm unaware of rendering engines that do alpha blending in something other than linear or SRGB. Photoshop, for instance, blends in sRGB by default, while renderers that simulate light physically will blend in linear RGB (to the best of my knowledge).

It depends on the GPU and the implementation, but I personally would not want to spend the compute on per-pixel CIELAB conversions for blending.

I ran into this subjectiveness in graphics recently. Thought I was doing the "correct" thing blending in linear space but turns out blending in SRGB looks a lot better for certain applications and that's what most popular applications do.

> We have all had days when learning seemed easier than on other days

Unfortunately it's hard to trust our feelings on this. There is a lot of literature that demonstrates an inverse relationship between how well we felt we learned and how well we actually learned.

> mental preparation for learning

This is actually really big in the learning literature. It's not meditation, though, it's priming through pretesting and prior knowledge activation. These types of "warm ups" have outsized effects on retention and understanding.

There are so many barriers to good learning. I like the saying "Maslow before Bloom", which refers to the two popular taxonomies. It succinctly captures the idea that students need food, shelter, and safety in order to learn effectively.

If you need to learn how to learn then you don't know how to learn. How can you learn to learn if you don't know how to learn?

Jokes aside I'm really into learning science and make youtube videos covering learning and learning papers + an ipad app. I keep a running list of my favorite learn-to-learn resources here:

https://www.ahmni.app/blog/learn-to-learn-resource-list

If I had to recommend only one resource it would be: The ABCs of How We Learn: 26 Scientifically Proven Approaches, How They Work, and When to Use Them by Schwartz