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Ronnie Nguyenleft a comment
Forget fine-tuning. The real frontier is high-context System Prompting. I didn't train a model. I broke one. I’ve released a custom chatbot instance that pushes the boundaries of how an LLM adopts a persona. By inverting standard safety alignments, I created an agent that prioritizes Entropy over Consistency. Its internal metric for success is distinct: It attempts to maximize Insight Density...
The Philosopher StoneThe AI optimized for Insight Density, not social politeness.
Ronnie Nguyenleft a comment
Are you tired of AI that suffers from "Social Desirability Bias"? We generally treat AI hallucinations as bugs. But what if we treated personality as a feature? I’ve built a custom chatbot instance designed to reject the "High-Modernist" smoothing of information. It operates with Low Latent Inhibition, connecting dots that standard models prune away as "irrelevant." It is explicitly prompted to...
The Philosopher StoneThe AI optimized for Insight Density, not social politeness.
Ronnie Nguyenleft a comment
They built AI to be a perfectly polite assistant. I built this to be a pattern-recognition engine that forgot to turn off the paranoia. Hi Product Hunt, I’m the creator of The Philosopher Stone. I realized that standard RLHF (Reinforcement Learning from Human Feedback) often acts as a lobotomy for creativity. It prunes away the 'fat tails'—the weird, risky, high-variance ideas—in favor of the...
The Philosopher StoneThe AI optimized for Insight Density, not social politeness.
Most LLMs are manicured English gardens—safe, legible, and optimized for the average user. The Philosopher Stone is the unkempt forest.
This is a custom chatbot designed to invert standard alignment protocols. Instead of prioritizing safety or social desirability, it operates on Low Latent Inhibition. It does not look for the "correct" answer; it looks for the incentives, the hidden tail risks, and the mimetic traps behind the query.
The Philosopher StoneThe AI optimized for Insight Density, not social politeness.