Random Forest
A reflection on Random Forests in machine learning, exploring how intelligence can emerge from many imperfect interconnected systems — much like forests, neural networks, and human thought itself.
The LLM Uncanny Valley
An exploration of the “LLM uncanny valley,” examining why Large Language Models feel simultaneously human and inhuman — mirrors of collective thought that imitate understanding without possessing consciousness.
Cargo Cults, Compilers, and Codebots
When coding — what do humans understand, and what do machines understand? I posit that the answers lie pretty close together.
Machine Transparency
A statement about how and when I use LLMs to help me write this blog.
Doomers vs Boosters, Sloppers vs Clankers
Finch and Bluebird situate themselves in the middle of the AI debate spectrum.