The Bottleneck for AI Agents: It's Not the Model, It's the Context Layer
AI agents' issues stem from context layers, not models. Proper infrastructure can enhance reliability.
A recurring pattern observed over the past two years shows that AI agents face reliability issues, often mistakenly attributed to model inadequacies. However, the actual problem lies in the lack of robust infrastructure. Andrej Karpathy has highlighted the importance of a structured context layer that transforms raw data into a queryable format, significantly enhancing the agent's decision-making capabilities.