tech
AI’s recursive self-improvement might not come so quickly after all
AI agents are not yet creative enough to carry out genuinely innovative open-ended AI research, it seems.
TL;DR
- AI agents can perform the engineering tasks required for AI research but struggle with the creative and judgmental aspects of open-ended investigations.
- A study evaluating AI agents on unpublished research papers found they produced papers that were rejected by human reviewers.
- AI agents demonstrated limitations in exploring diverse ideas, backtracking from unpromising approaches, and effectively incorporating feedback.
- The ability of AI to conduct open-ended research may be hindered by current training methods, which are more effective for tasks with checkable answers.
- The findings challenge optimistic predictions for recursive self-improvement, suggesting that creative leaps may still be crucial for transformative AI progress.