Part 6/9:
In essence, an Absolute Zero Reasoner (AZR) begins by crafting coding tasks that it will solve. Using different reasoning types—abduction, deduction, and induction—it learns whether its proposed tasks are solvable. The AI also assesses the learnability of these problems, enabling it to create challenges that are neither trivial nor overly complex.
Remarkably, testing showed that AZR, trained without any human-generated data, achieved state-of-the-art performance across diverse mathematical and coding tasks. This suggests that it surpasses even those models explicitly fine-tuned with human supervision.
Key Findings from the Research
The key findings of this research indicate that: