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2 papers published across 1 lab.
Predictive representation learning fundamentally fails to learn causal system dynamics, instead latching onto environmental correlations, even when it hurts prediction accuracy.
Current alignment benchmarks are misleading: even if a model aces them, its real-world alignment could be totally different depending on the specific deployment context.
