DeepSeek & The Danger of a Single AI Alignment Story
This story explores the shifting narrative of AI development, using DeepSeek's reinforcement learning-driven approach as a lens to challenge the dominant paradigm of supervised fine-tuning. Drawing inspiration from Chimamanda Ngozi Adichie’s 'The Danger of a Single Story,' it critiques how performance benchmarks often reduce AI progress to a singular metric, overlooking adaptability and methodological diversity. Through a structured comparison of DeepSeek and OpenAI’s LLM pipelines, an analysis of financial market reactions, and a reflection on reductionist thinking, this piece invites readers to rethink the evolving AI landscape and the narratives that shape it.