I built an O(1) physics engine to stop LLM hallucinations in construction

An innovative project demonstrates how to integrate domain-specific constraint validation directly into LLM output processing. By adding an O(1) physics engine for construction/flooring problems, the builder significantly reduces hallucinations when LLMs generate domain-specific advice.

This technique is highly relevant for local LLM deployments in specialized industries. Rather than relying solely on better prompting or larger models, the approach validates LLM outputs against hard constraints specific to the domain. For construction, flooring, engineering, and similar fields, this constraint-based validation can be applied post-inference without modifying the underlying model.

Local practitioners can adapt this pattern to their domains: add a validation layer that checks LLM outputs against known physical laws, business rules, or domain constraints. This is especially powerful for self-hosted systems where you can customize the entire pipeline—combining open-source models with specialized validators to achieve production-grade reliability for domain-specific applications.

Source: Hacker News · Relevance: 7/10