2 months ago
- Vim enhances flow by making text editing seamless, not by increasing speed, and it directly translates user intent into output without distortion.
- AI tools promise similar fluidity but introduce a 'depth problem': their output appears polished but may not accurately reflect the operator's intent or skill, making it hard to spot flaws in code.
- The gap between 'looking done' and 'being right' is growing, as AI prototypes lack edge cases, error handling, and other critical details, leading to unrealistic expectations.
- AI fosters an 'empathy gap' where surface-level contributions across disciplines create false confidence in understanding others' jobs, undermining organizational respect for depth.
- To address these issues, we need to set clear boundaries for AI output, invest in education on evaluating AI work, build cross-disciplinary empathy, and protect personal flow by ensuring AI enhances rather than replaces problem-solving.