A research digest from the ML Safety Newsletter summarising recent AI safety papers, such as new benchmarks for AI learning speed, cyber exploit generation, and political manipulation in AI models. Readers get concise explanations of each paper's method, findings, and why it matters for AI safety.
Website: https://newsletter.mlsafety.org
Essays and research from Princeton-affiliated authors arguing that AI is a transformative but normal technology rather than a path to superintelligence. Issues cover AI agent evaluation, the economics of automation versus augmentation, and a critical look at the AI safety movement.
Research posts from Redwood Research on catastrophic AI risk, focused on AI control, monitoring of agentic models, and red-teaming of safety systems. Readers get technical write-ups of papers, experiments and engagements with AI developers, including methods, results and open questions.
A weekly roundup of AI developments covering model releases, safety and alignment incidents, cybersecurity events and AI policy, with extended commentary on individual stories. It also includes occasional standalone deep dives, such as analysis of AI legislation and company conduct.
Robonaissance publishes essays on the AI and robotics frontier, including a series called Reading the Frontier that unpacks recent research and lab announcements, plus updates on its own open-source projects. Readers get careful, plain-language explanations of preprints and company posts, along with the newsletter's own open-source tools.
One short email a week with hand-picked newsletters from the index. Free, no spam, unsubscribe anytime.
