The alternative is a High-Dimensional / Embedding-Like Approach where question responses aren't tied to fixed axes, but rather the full response set is treated as a point in latent space.
Then it's on the researcher to examine the clusters and assign labels. There's also not a nice mapping that's a-priori interpretable in low-dimensional pre-existing axes.
Probably only used in research than consumer websites, under more controlled conditions; there are very few public political tests doing this transparently
2016 (up to 2018 or so) may have been the peak of such varied activity in the developer ecosystem, including articles like this, whether it was discussion, ideation, OSS variety, language development.
There has been growth since but it's been concentrated into fewer channels and somewhat industrialized.
if your definition requires universal observer agreement you already have that issue with special relativity / light cones / the spacetime metric.
many worlds posits a single universal quantum state it's just only partially accessible to observers, which is different from saying that it simply doesn't objectively exist.
If you think about it for about 5 seconds, it makes sense swords are the only thing that are effective against shields and the explanation about fast vs slow is very clear.
Also I think that CS people's understand of neurons are horribly underestimated. The idea that there are bits 'in' neurons is a misconception. They each neuron is a multi-cellular entity with variate modes of interaction and activation.
So these napkin estimates comparing brainpower what server farms can do doesn't inform us at all about how that gets us closer to AGI.
Then it's on the researcher to examine the clusters and assign labels. There's also not a nice mapping that's a-priori interpretable in low-dimensional pre-existing axes.
Probably only used in research than consumer websites, under more controlled conditions; there are very few public political tests doing this transparently