A paper from ETH Zurich found no general improvement in task success from repository context files, while inference cost rose by more than 20%. I ran a small, inspectable reproduction to see what that looks like on real bugs.
AI isn't the death of creativity—it's a renaissance in disguise.
How I reduced a 90MB Siamese face recognition model to under 5MB while maintaining performance and achieving sub-100ms inference times.
A deep dive into the fundamental differences between sparse and dense vector representations in machine learning and their implications for recommender systems.
A breakthrough in Mixture of Experts that promises to revolutionize how we build and adapt AI systems...