It looks good, but one of the big selling points to me with Kagi is them having their own index. It seems like you guys are working on that, but right now it sounds more like a search aggregator rather than a search engine.
You also mention not using the source for commercial use or distribution, is that only relevant before it becomes AGPL?
I am also struggling to find how to activate the 2h trial, so have not been able to test it out.
As someone who has read the book, it does go through the history and inspiration of modern sci-fi typeset. Great coffee table book. Mainly expands on the articles on the website with more details and graphics.
That just makes it even more interesting. Have we been selectively modified to think dogs are cute? If I showed a toy poodle to a caveman, would he also want to put it in a little bag with only its head poking out?
I believe you are missing the forest for the trees. It is bringing up the question of what defines self will. It is unrelated to veganism in all but text.
An easy example is dogs. We have bred dogs for centuries to love doing work for us. If they hated doing the work, it would be easy to call it cruel. If they loved it by nature, it would be easy to call it kind. But since we created them into a thing that loves the work we need them for, where do the ethics fall?
Should we prevent them from doing what brings them joy? Should we make use of this win-win situation? If it is the latter, we are quickly approaching the ability to morph every species into something that gets joy from doing our work.
Dogs we changed by accident. The next one will not be an accident. Is it still a beings free will if the game was rigged from the start?
Adding to this: If you do not want to reference the current gender, you can also use "Assigned Female at Birth" (AFAB), or "Assigned Male at Birth" (AMAB).
This is useful when clarifying terms, when you do not know the persons identity, or when discussing groups based on the factory default settings.
I would expect there to be significant overlap between the demographics of those who more commonly get in accidents and those who use THC. Based on nsc.org, it seems like the majority of car accidents are with drivers 25-34 years old, and occur more frequently late at night on weekends. That generally matches the profile of the stereotypical THC user. It is hard to find good numbers of THC use.
Remember that not all the population drives, nor are accidents randomly distributed in the population.