If you increase temperature in a language model to higher levels, you get roughly 90% nonsense and 10% viable content, and by combining this with filters to identify viable parts, you can simulate human-like creative thinking, which also uses high temperature internally and filters through reasoning and axiomatically-consistent criteria.