According to @balajis, much of practical AI work is about loading the context first and only then expecting the system to reason, highlighting the importance of stable prompts (source: X post by @balajis on Dec 10, 2025). According to @balajis, AIs, like humans, get confused if you switch context mid-stream, which can degrade reasoning quality and output reliability (source: X post by @balajis on Dec 10, 2025). According to @balajis, this framing is a metaphor and biological brains may work differently, but the operational takeaway for AI systems remains the need for consistent context (source: X post by @balajis on Dec 10, 2025). Based on this point from @balajis, keeping prompts and analysis threads consistent is important when deploying AI in crypto trading workflows to avoid confusion-driven errors (source: X post by @balajis on Dec 10, 2025).