01Critique AI benchmarks using the distinction between memorization and fluid intelligence
02Evaluate the effectiveness of test-time adaptation and program synthesis techniques
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04Identify plateaus in current LLM scaling laws based on theoretical AGI requirements
05Analyze AI architectures for Type 1 (perceptual) and Type 2 (programmatic) abstraction
06Apply the ARC benchmark philosophy to assess model generalization