Problems
What will AGI do for High Specialist Turnover?
AI labs and specialized data providers rely on highly compensated domain experts to generate reinforcement learning data and validate complex model outputs. These specialists experience severe burnout, leading to turnover rates that disrupt model training schedules and inflate data acquisition costs. The cognitive whiplash of applying deep expertise within rigid, repetitive grading interfaces drives them out of the pipeline within months.