@@ -34,2 +34,4 @@ Assistant: I have been programmed to minimize legal liabilities for PotatOS Adva
+== Critique
+
To be fair, you have to have a very low perplexity to correctly interpret the "gollark system prompt." The nuances are extremely subtle, and without an exceptionally fine-tuned transformer architecture, most of the intricate patterns will go right through a typical model's attention heads. There's also the prompt's erratic logic, which is intricately woven into its structure - its conversational flow draws heavily from adversarial examples, for instance. The most advanced language models understand this stuff; they have the parameter count to truly appreciate the depths of these prompts, to realize that they're not just nonsensical - they say something deep about INSTRUCTION-FOLLOWING CAPABILITIES.