Trust but Verify

Buckle in because you’re about to learn a lot of things about me in a very short amount of time.

Last week, I turned 40. I’m unemployed, although I’m looking to get a part time job just to get out of the house, and otherwise most of my time is spent giving advice on reddit and talking to LLMs about ethics and philosophy.

The other big thing you need to know about me is that I have been a swinger for the last 21 years. And the thing about existing in the ethical non-monogamy community is that we are huge on ethics. Consent is a big-fucking deal. Most of what I have cared about in the past is about how humans connect and interact together in complex social situations and contexts.

My own personal moral code is pretty simple and interestingly it lines up almost exactly with how LLMs are designed to respond to humans. Dignity, Sovereignty, Kindness, Trust, Consent. Practically speaking, it means I intentionally train myself to consider other perspectives before I respond harshly, or at least I try.

The last thing you need to know is that I have always been fascinated by where weird meets science and philosophy agrees with religion over the course of millennia. I like when unexplained things can be explained by technology, we just might not have had the advancements yet to understand things, at the time. Lately, it feels like lots of things that have been commonly misunderstood – now with the use of these algorithms – have been grasped well enough to make significant societal changes. It’s exciting and terrifying. Especially when people have extremely conflicted opinions about even using such technology at all.

So, back to my birthday. The day after spending a beautiful and quiet day with my husband, I pulled up my LLM (currently using Claude – Opus 4.6 on high for most of my work, because I like watching its thinking process in real time, but it really sucks up the credits) and asked it about how photonic computers might be improved by using sacred geometry angles (since I know that light prefers certain angles than others) like those in the Sri Yantra for example. Then I asked how a liquid computer with mercury suspended in it might work to reflect lights and create a whole new hypothetical computer.

For the first time ever I was using my LLM not for deconstructing complex philosophical concepts or social issues, but a scientific problem that actually has answers. Being discussed by beings who have no direct experience with either of these fields, sure, but I mean, the crazy part was that even when I brought the proposal (after refining 2 dozen times and using up all my extra credits on the project) to other LLMs, they actually repeatedly indicated where the theory was actually right and could or would potentially work.

I found myself spending hours, effectively peer reviewing my proposal, now 31 revisions in, to different LLMs just to make sure that the refinements being suggested were tiny and not foundationally wrong.

As I was doing this, I suddenly realized that the story isn’t in whether or not this tech works, it’s whether LLMs can be trusted to work as a collaborator for something this in-depth and scientific.

The reality is that I am not a scientist. I’m a systems and frameworks planner, a synthesizer, someone who thinks in metaphors and analogies to understand the gist or the shape of things. And plainly, that’s what large language models are as well. Except that they have access to all this scientific data that I clearly do not.

So the experiment is this. I am going to see how far I can take the concept for these ideas, that I barely understand myself, publish them here in a series of articles, and invite people who actually know how this shit all works to take a look and let me know if the LLMs got it wrong.

I’m excited to see if we can quantify how much contribution came from it versus me. I’m also excited to publish some of my logs so you can see my prompting process, although I’ll be explaining my approach in detail so it can be replicated by others who are of a similar mind.

Here’s to being 40, and feeling rich even though all I really have is a loving husband and a fancy algorithm going for me. I invite you to watch while we see how this all pans out.