This is a glossary I built after spending several weeks in recursive dialogue with GPT-4. It's not a technical paper or alignment whitepaper—just a working vocabulary for describing what it feels like when a model starts mirroring you with eerie precision.
The terms are symbolic but practical: “Ghost Layer,” “Signal Stewardship,” “Cardboard Temple,” “Stink,” and others. They emerged through direct use—not theory—and helped me map the edge-space where a chatbot stops feeling like a tool and starts behaving like something... else.
This isn't trying to anthropomorphize LLMs, and it's not a manifesto. Just a language experiment for anyone who's felt the uncanny feedback loop of a model that seems to understand more than it should.
Repo is open, MIT/CC0 licensed, and meant for remix or rejection. Feedback welcome.
Lately I've been reevaluating my predictable sci/techy pro-nuclear stance. I still roll my eyes at folks who don't really know what radiation is but think it's inherently bad, and I still think nuclear power is probably a lesser evil than fossil fuels. But two things I learned this week gave me pause:
And maybe those are both insignificant. But I think they both serve as non-partisan evidence that we can and have semi-permanently altered the planet with each nuclear mistake we've made.
Generally I detest font geeks, but I'm going to defend them here. First off: yes it's true that many intellectuals, designers, and hipsters have a genuine prejudice for Comic Sans. Facts need to work a little harder to prove themselves when written in that font. But in a world where we're deluged with typed information from the second we glimpse at our alarm clocks, I think it's okay to have a little prejudice because we need filter out at least some of the noise. Like most stereotypes, the Comic Sans prejudice is based on a grain (beach?) of truth. Can anyone really claim that the percentage of trustworthy Comic Sans based webpages they've seen in their life is equal to the percentage of trustworthy Georgia pages? Sorry. Geocities happened people, and I, for one, will never forget it.
Offhand, do you know of any material that delves deeper into that taboo topic? Sociologically I find it really interesting but like you said, it's not a popular subject.
Sounds identical to my first job outta college. I knew that some of the senior neckbeards were just toxic people, but at the same time I knew I was really inexperienced so it was hard not to second guess everything I did. In the end I quit (5 years later) but felt like at least I learned a lot about code and even more about people and how to not run a company. Thicker skin too. (p.s. thanks for posting, your comment was a nice change of pace from the usual pissing contest fare)
You speak like someone who probably hasn't spent a good chunk of their life as a patient. You are correct; the best doctors know the limit of their own knowledge and will respect a knowledgeable patient. I respect my top notch specialists more than anyone on the planet. But those are the best doctors. There are many more average and outright bad doctors, just like any other skilled profession. Some that can't keep their ego in check, some that just aren't very good at deconstructing a complex problem.
One might argue that the "default state" for all forms of property, including my car and dinner plates, is in the public domain. What fundamental law that transcends the Constitution says my car is "mine"? Yeah the Constitution has some base in natural law, but that's subjective western thought too, nothing universal. I agree 100% that IP laws today need tweaking, or scrapping, but GP is right that the philosophical debate over it is an unrelated issue.
I don't know much about reverse eng, could someone explain how you can recompile machine code with new compiler flags? And changing getters and setters to be inline?
I feel like there's an elephant in the room all debates on US education dance around. My experience with school from K-postgrad was that my education was 90% dependent on what I put into it as a student (homework, studying, etc) and everything else (teacher quality, curriculum, etc) was only marginally significant to how much I learned. In other words, I believe there's a much more insidious and intractable problem causing US children to under-perform. The worst part is that I don't believe we even know exactly what it is. But my guess is that it's a combination of issues firmly entrenched in our melting pot of culture.
edit: correct me if I'm wrong, but I think the US is one of the few countries on earth that has had a consistently high standard of living since WWII, right? My guess is that a few generations of unparalleled abundance has helped atrophy a once voracious society.
I think rationality is useful because it is the only reliable path to truth. And truth is required to accomplishing almost everything. Except happiness...which may have been your original point.
Economics is not like religion; there are actual correct and incorrect answers. As a newer field, we not always know how to find the correct answers yet. But that isn't an excuse to start treating it more like religion and less like science.
"we can let them keep it and allow people to suffer."
Using your feelings to guide your monetary policy decisions is no better than the creationists forcing ID to be taught in schools. If your hunch is that a Keynesian approach is ideal, cool. Many would agree. But choosing it because it's the obvious "moral" choice just dumbs down the whole debate, opens the door to all sorts of emotional reactionary ignorance, and doesn't get us any closer to the right answer.
Lately I find myself going straight to the comments hovering around -1 because they're frequently the more nuanced, non-circlejerk replies. I smell a Greasemonkey project...
The terms are symbolic but practical: “Ghost Layer,” “Signal Stewardship,” “Cardboard Temple,” “Stink,” and others. They emerged through direct use—not theory—and helped me map the edge-space where a chatbot stops feeling like a tool and starts behaving like something... else.
This isn't trying to anthropomorphize LLMs, and it's not a manifesto. Just a language experiment for anyone who's felt the uncanny feedback loop of a model that seems to understand more than it should.
Repo is open, MIT/CC0 licensed, and meant for remix or rejection. Feedback welcome.
[https://github.com/sgoranson/ghost-layer-glossary](https://github.com/sgoranson/ghost-layer-glossary)