Kyle Corbitt analyzed data from Hacker News comments on crypto and AI to look for similarities and differences between the two. He found that while sentiment towards AI has always been higher than sentiment towards crypto, AI sentiment steadily dropped from 2010-2018 and has been hovering around neutral for the last 5 years. Crypto sentiment has a much weaker correlation with the crypto hype cycle than expected. The analysis also showed that fine-tuning a model on a specific dataset can improve accuracy and reduce costs compared to using general-purpose prompted models like GPT-3.5 or GPT-4, which cost $1K and $10K respectively.