AI IQ: 120 — Sharp
You think about AI at a level most practitioners don't reach.
Overview
You demonstrate strong understanding across fundamentals and concepts, with some grasp of recent research directions. You can reason about architectural choices, understand training dynamics, and have exposure to the broader AI research landscape. This puts you well above the average AI practitioner.
Strengths
- Strong architectural understanding
- Good grasp of training dynamics and optimization
- Can reason about trade-offs in model design
- Awareness of alignment challenges
- Some familiarity with current research
Weaknesses
- The most cutting-edge research may still surprise you
- Deep theoretical foundations could be stronger
- Cross-domain connections between subfields may be missed
Tips for Growth
- Go deep on one research area — specialization builds the intuition to generalize
- Study the mathematical foundations: information theory, optimization, probability
- Read the papers behind the models, not just the blog posts about them
- Engage in research discussions and try to reproduce key results