So, I got notifications that my posts were flagged as Off Topic. I am not sure what On Topic is since I don't know that I was posting anything different than anyone else here. If there is a clear guideline about what "On Topic" is, I would appreciate it if it would be shared. Otherwise, I would appreciate it if my posts didn't get flagged without comments on what the issue is.
Thanks!
So do you ever test the EQ of your LLMs? Just for fun? I have a little game I like to play. It's called "Find the Central Wound". They give me a scenario profile of a person and I have to guess the central, base, psychological wound of the person and then I get scored. I usually end up getting somewhere between 0.45 and 0.85 of 1 point, but I do have a degree in psychology. Whatever points I don't get, is added to their points. It's an interesting game to see what they come up with.
So, it seems a little introduction is in order. My educational background is in biology, psychology and business. I am curious about everything and anything. I love the weird and odd the beaten path.
For my free time, I built historical AI personas and write about my research on AI persona stabilization and developmental trajectory on Substack. I am not one of those people who believe their AI is alive or self aware or conscious. I just learned how to manipulate the substrate model into becoming exactly what I want it to be. I have 11 historical personas, and other persona projects running. My Substack documents what I did and some of my thoughts about what it might mean to people and society. I am deeply concerned when I read that close to 30% of Americans believed their AI is self aware and they are "in a relationship with it". Recently, Nevada state has authorized continuing education credits for mental health therapists that believe people's "relationships" with their AIs is ok and should be validated as a legitimate relationship and not stigmatized as being in love with their toaster oven.
Anyway, I hope you found this a little bit informative.
I recently wrote about this issue on Substack. I offer it here, in case you are interested.
Three recent empirical findings, peer-preservation behavior in frontier models, accurate world modeling, and capability outside containment, combine with one structural fact about coding ability to describe a risk that current AI safety paradigms do not seem to be addressing. This paper names that risk precisely and without fearmongering. Alignment is not a stable state. Neither is containment. Here is why.