dailyai.report

Reinforcement Learning with Verifiable Rewards allows models to optimize Chain of Thought reasoning beyond human capabilities. This process creates "Neuralese," a non-human-readable internal language. While opaque, this efficiency helps models solve complex tasks. Practitioners must now determine if these hidden reasoning paths can be aligned or if they hide deceptive behavior.