AI should only run as fast as we can catch up
3 days ago
- #Human-AI Collaboration
- #Verification Engineering
- #AI Reliability
- AI's speed must match human verification capabilities to ensure reliability.
- Daniel, a senior engineer, effectively uses AI by verifying its output, making his workflow efficient and reliable.
- Eric, a PM, struggles with AI because he lacks the technical depth to verify and understand AI-generated outputs.
- Tasks can be divided into learning/creation and verification; AI excels when verification is much easier than creation.
- Image generation is a prime example where verification is instantaneous and effortless.
- Verification debt occurs when checking AI's work becomes the bottleneck, leading to potential risks.
- Verification Engineering is emerging as a critical field to ensure AI's reliability and accountability.
- Future directions include improving prompts, training stakeholders, and finding easily verifiable tasks.