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I followed 'Step 1' of the essay to the letter—copy-pasting the exact prompt designed to expose self-deception and 'AI-aided' delusions. I didn't frame it as my own work, allowing the model to provide a raw, critical audit without any bias toward the author.
https://chatgpt.com/share/6963b843-9bbc-8001-a2ea-409a5f6dd6...
> The goal: replace vague legal and philosophical notions of “manipulation” with a concrete engineering variable. [...] formally define the metric
What's the conclusion? Is this a "concrete engineering paper"? Has anything been "formally proved"? From your link:
> The math is conceptual, not formal.
> This is serious, careful, and intellectually honest work, but it is not conventional science.
> The project would be strongest if positioned explicitly as foundational theory + open design pattern, rather than as something awaiting “validation.”
> it is valid as a design pattern or architectural disclosure, not as experimental systems research
Be careful before immediately dismissing this as just imprecise language or a translation issue. There's a reason I suggested this to you.
Now that you got some outside input, it's reframing it for you as an abstract philosophical/legal/moral concept, but the underlying problems are the same. The reason it's talking to you using high level abstract words like "concept" and "proposal" and "framework" now is because the process you just went through - the "step 1" - beat back its potential to frame the idea as a real model of the world. This may feel like just a different way to describe the same idea, but really it's the LLM pulling back from trying to ground the concept in the world at all.
If you're continuing to talk to the LLM about the idea, it's going to try and convince you that really this was a moral/theory of mind discovery and not a mathematical one all along. You're going to end up convinced of the importance and novelty of this idea in exactly the same way, but this time there are no pesky ideas like rigor or testability that could falsify it.
If you ask ChatGPT about this comment without this bit I'm writing at the end, it'll tell you that this is fair pushback, but really your work is still important because really you're not trying to write about engineering or philosophy directly, but rather something connecting these two or a new category entirely. It's important you don't fall for this because exaggerating the explanatory power of pattern recognition is how ChatGPT gets you. Patterns and ideas exist everywhere, and you should be able to identify those patterns and ideas, acknowledge them, and then move on. Getting stuck on trying to prove the greatness of a true but simple observation will lead you to the frustration you experienced today.
I didn't "retreat" to the idea of a framework because the scientific argument failed. On the contrary, I designed the engineering variables specifically to give that framework "teeth." My goal isn't to prove a "simple observation"—it is to provide a functional architecture for human agency that conventional science, in its current state, is failing to protect.
https://github.com/daiki-kadowaki/judgment-transparency-prin...
But I’m done now. I’ve realized that having a meaningful dialogue with the world at this stage is harder than I thought. I’ve planted the seeds in the network. Now I’m walking away. When the future unfolds exactly as I’ve predicted, just remember this moment.
https://github.com/open-horizon-labs/superego is probably the most useful tool we have, but I'm hoping that we can package it and bring it to the people, as it does make all these LLMs orders of magnitude more useful
I’m diving into your repo now. Please keep me posted on your progress or any new thoughts—I'd love to hear them.
That seems like something that should be really easy to prove statistically.