According to Andrew Ng, the release of a new AI-powered 'Agentic Reviewer' for research papers demonstrates near-human-level performance, with Spearman correlation scores of 0.42 between AI and human reviewers compared to 0.41 between two human reviewers when tested on ICLR 2025 reviews (source: Andrew Ng, Twitter). This agentic workflow automates paper feedback using arXiv searches, enabling researchers to iterate much faster than traditional peer review cycles. The tool's ability to provide grounded, rapid feedback creates significant opportunities for AI-driven productivity platforms in academic publishing, scholarly communication, and research acceleration, particularly in fields with open-access literature (source: Andrew Ng, Twitter).