Show HN: NKTg AI – An LLM that decodes text before generating

NKTg AI presents itself as a language decoding system that uses physical-style algorithms to measure semantic energy and extract a text's "Core Content" — the original sentence with the highest density of executable actions — classifying text as AMP, DAMP or STABLE. It pairs this decoding layer with an LLM that generates language from the standardized structure, offered as a browser-based local model running via WebAssembly (no server, history in localStorage) and as a free cloud mode. The post also lists output modes, claimed benefits such as hallucination mitigation, system requirements (16 GB RAM, 6-core CPU, WebGPU GPU with 6–8 GB VRAM), and a stated limitation on handwritten documents due to OCR accuracy.