Looking through some other articles from "Confirm Labs" it's striking how often concepts related to the underlying mathematical mechanism related to LLM models (i.e. linear algebra, latent embedding, optimization techniques, model alignment) are assigned very personified terms (e.g. dreaming, trustworthiness).

I am not an AI researcher, my field these days is much smaller statistical models, but reading some of these papers and then reading also the discourse a lot of AI researchers engage in surrounding AGI, sentience, pain, etc... I for one have a hard time taking some of it seriously. I just don't buy some of it but of course I'm less than fully informed.

My only critique is that you should not start by naming every algorithm or operation you will perform on a model after a thing that a person with a brain does and then claim to evaluate a concept such as sentience or distress from the position of an unbiased objective observer. This naming convention sows doubt among those of us who are not a part of that world.

> Feature visualization, also known as "dreaming", offers insights into vision models by optimizing the inputs to maximize a neuron's activation or other internal component. However, dreaming has not been successfully applied to language models because the input space is discrete.