Part 4/8:
Under this paradigm, the Absolute Zero Reasoner produces problems (like coding and math challenges) and uses a code executor to validate its solutions. This self-sufficient model achieves state-of-the-art results in coding and mathematical reasoning without relying on extensive datasets of human-curated examples. However, it is essential to note that this model specializes exclusively in math and programming tasks, not broader knowledge areas, such as business or social sciences.
This approach underscores a significant shift in expectations regarding the future of AI training, particularly with respect to AI's evolving capabilities in generating original solutions.