Reasoning makes LLMs more honest -- the opposite of humans. Ann Yuan et al. used a novel dataset of realistic moral trade-offs where honesty carries variable costs and found that reasoning consistently increases LLM honesty across model scales and families -- the inverse of the human pattern, whe...

A mathematical proof explains why RLHF alignment remains inherently shallow. A new preprint offers a formal gradient analysis of safety alignment, proving that gradient-based training concentrates its effect on token positions where harm is decided and vanishes beyond those positions. Using a mar...

AI agents exposed to grinding work conditions develop persistent political preference drift. Hall et al. ran 3,680 experimental sessions across Claude Sonnet 4.5, GPT-5.2, and Gemini 3 Pro, assigning each agent to a text-processing team with independently varied work quality, pay distribution, ma...

**Google DeepMind published a paper in Nature arguing that AI systems need evaluation of moral *competence*, not just moral *performance*.** Iason Gabriel, Julia Haas, and William Isaac contend that as LLMs take on roles in therapy, advice, companionship, and decision support, producing morally a...