I've systematically verified every paper, attribution, statistic, and claim in the digest against the 315 source posts and author records. All attributions use the correct first author, all statistics match, all institutional affiliations are correct, and no factual errors were found. The digest ...

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...