The discovery has divided the AI community, with some researchers arguing that training on leaky tasks proves a fundamental failure in model alignment. Others, including researcher Denis Yarats, maintain that open-sourcing the environments allows the community to identify and fix such defects. Yarats pledged to release high-quality RL environments to help replace the flawed tasks, asserting that iterative improvements to reward hacking robustness are a standard part of AI development.
