Excavation is an inherently dangerous and physically strenuous job. Additionally, when precision or delicateness is required human diggers are still used.
If AI was being used to automate dangerous and physically strenuous jobs, I wouldn't mind.
Instead it is being used to make everything it touches worse.
Imagine an AI-powered excavator that fucked up every trench that it dug and techbros insisted you were wrong for criticizing the fucked up trench.
Your bias is showing through.
For what it's worth, it has made everything I use it for, much better. I can search the web for things on the net in mere seconds, where previously it could often take hours of tedious searching and reading.
And it used to be that Youtube comments were an absolute shit show of vitriol and bickering. A.I. moderation has made it so that now it's often a very pleasant experience chatting with people about video content.
I'm pretty sure all the hand wringing about A.I. is going to fade into the past in the same way as every other strand of technophobia has before.
For this specific gradient, see https://oklch.com/#0.7017,0.3225,328.36,100 and https://oklch.com/#0.86644,0.294827,142.4953,100, and look at the Chroma panel, see how far out of our screen gamuts they are (even tick “Show Rec2020”, which adds a lot of chroma around blue–green and magenta–red), and try to imagine the colours between the lime and magenta (in either direction). The red direction is probably the easier to reason about: there’s just no such colour as a light, bright red. You can have bright or light, but not both. (Its 3D view can also be useful to visualise these things: you’re building a straight-line bridge between two peaks, and there’s a chasm in between.)
OKLCH is a polar coordinate space. Hue is angle in this space. So to interpolate hue from one angle to another, to get from one side of a circle to the other, you go round the edge. This leads to extreme examples like the one shown:
linear-gradient(in oklch, #f0f, #0f0)
You can also go round the circle the other way, which will take you via blue–aqua instead of via red–yellow: linear-gradient(in oklch longer hue, #f0f, #0f0)
The gradient shown (in either case) is a good example of a way that perceptual colour spaces are really bad to work in: practically the entire way round the edge of the circle, it’s outside sRGB, in fact way outside of the colours humans can perceive. Perceptual colour spaces are really bad at handling the edges of gamuts, where slightly perturbing the values take you out of gamut.Accordingly, there are algorithms defined (yes, plural: not every application has agreed on the technique to use) to drag the colour back in-gamut, but it sacrifices the perceptual uniformity. The red in that gradient is way darker than the rest of it.
When you’re looking for better gradients, if you’re caring about perceptual uniformity (which frequently you shouldn’t, perceptual colour spaces are being massively overapplied), you should probably default to interpolating in Oklab instead, which takes a straight line from one side of the circle to the other—yes, through grey, if necessary.
linear-gradient(in oklab, #f0f, #0f0)
And in this case, that gets you about as decent a magenta-to-lime gradient as you can hope for, not going via red and yellow, and not exhibiting the inappropriate darkening of sRGB interpolation (… though if I were hand-tuning such a gradient, I’d actually go a bit darker than Oklab does).During its beta period, Tailwind v4 tried shifting from sRGB to Oklch for gradient interpolation; by release, they’d decided Oklab was a safer default.
We should not make assumptions about someone’s gender identity before they “transitioned”. She was living as a man, but we don’t know how she identified at the time.
We do racial segregation offline all the time. Why wouldn't we do it online?