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Machine-learning-generated waveforms can dramatically accelerate gravitational-wave parameter estimation, but they come with systematic biases that can be corrected for improved accuracy.
AI-generated literature reviews miss the mark, with less than 6% overlap with expert selections, but the 2026 model shows promise for error-free performance.
AI-generated project proposals can match human quality, but AI reviewers show a bias towards favoring their own outputs.
