Software Developer Uses Caveman Speak to Optimize AI Token Usage, Faces Challenges
Alexander Huso, a software developer from Salt Lake City, experimented with using 'caveman speak' to reduce the number of AI tokens consumed while interacting with Claude, an AI model. The idea was to simplify language by omitting articles and other parts of speech, potentially saving on token usage. However, this approach led to a significant drop in the quality of AI responses, rendering the model less effective for serious coding tasks. Huso initially applied this method in ethical hacking projects, aiming to identify vulnerabilities in Android apps. Despite the novelty of the approach, it proved impractical for tasks requiring high-quality output. 
