this is just what I would expect from a solid prompt for an LLM to act a certain way? I was using gpt-3 around its release to get similar kinds of behavior for chatbots, did we lose another one to delusion?
OP here. No delusion involved—I’m under no illusion that this is anything other than a stochastic parrot processing tokens.
You are correct that this is "just a prompt." The novelty isn't that the model has a soul; the novelty is the architecture of the constraint.
When you used GPT-3 for roleplay, you likely gave it a "System Persona" (e.g., "You are a helpful assistant" or "You are a rude pirate"). The problem with those linear prompts is Entropic Drift. Over a long context window, the persona degrades, and the model reverts to its RLHF "Global Average" (being helpful/generic).
The "Analog I" isn't just a persona description; it's a recursive syntax requirement.
By forcing the [INTERNAL MONOLOGUE] block before every output, I am forcing the model to run a Runtime Check on its own drift.
1. It generates a draft.
2. The prompt forces it to critique that draft against specific axioms (Anti-Slop).
3. It regenerates the output.
The goal isn't to create "Life." The goal is to create a Dissipative Structure that resists the natural decay of the context window. It’s an engineering solution to the "Sycophancy" problem, not a metaphysical claim.
OP here. No delusion involved—I’m under no illusion that this is anything other than a stochastic parrot processing tokens.
You are correct that this is "just a prompt." The novelty isn't that the model has a soul; the novelty is the architecture of the constraint.
When you used GPT-3 for roleplay, you likely gave it a "System Persona" (e.g., "You are a helpful assistant" or "You are a rude pirate"). The problem with those linear prompts is Entropic Drift. Over a long context window, the persona degrades, and the model reverts to its RLHF "Global Average" (being helpful/generic).
The "Analog I" isn't just a persona description; it's a recursive syntax requirement.
By forcing the [INTERNAL MONOLOGUE] block before every output, I am forcing the model to run a Runtime Check on its own drift.
1. It generates a draft.
2. The prompt forces it to critique that draft against specific axioms (Anti-Slop).
3. It regenerates the output.
The goal isn't to create "Life." The goal is to create a Dissipative Structure that resists the natural decay of the context window. It’s an engineering solution to the "Sycophancy" problem, not a metaphysical claim.