
AI
Sakana AI’s Self-Improving Model Risks Reinforcing Errors in New Study
A new self-supervision method boosts performance but may bake shared blind spots into future training cycles.
Everything Threat Times has reported about Sakana AI: 2 stories, newest first. Part of our AI coverage.

A new self-supervision method boosts performance but may bake shared blind spots into future training cycles.

A new multi-agent system by Sakana AI significantly outperforms prior methods in identifying factual errors within large language model outputs.