Anthropic CEO Dario Amodei is calling for AI regulation to move beyond transparency requirements toward binding safety obligations. He argues that frontier models already present visible risks and should face mandatory testing across four major risk areas. Under his proposed approach, governments would have authority to block or deter deployment when systems fail to meet required safety standards.
Interconnects author Nathan Lambert leverages the double meaning of 'Fable' — both Anthropic's model codename and a fictional story — to interrogate frontier AI safety discourse. The piece frames Claude Fable 5's release within escalating lab power politics, where safety positioning doubles as competitive branding. A critical commentary for those tracking AI governance and Anthropic's strategic narrative.
Anthropic has released Claude Fable 5, the company's most powerful model ever made widely available and its first under the new 'Mythos' model class. The model shows exceptional performance across software engineering, knowledge work, and vision tasks. Its advantage over competing models reportedly grows wider as tasks increase in length and complexity, making it particularly suited for demanding, multi-step workloads.
Anthropic published a major update to its Responsible Scaling Policy, its governance framework for frontier AI risk. The revised policy keeps the commitment not to train or deploy models without adequate safeguards, while adding more nuanced capability thresholds and required safety levels. It focuses on risks such as autonomous AI R&D acceleration and CBRN weapons assistance, with stronger evaluations, documentation, governance, and external input.
Anthropic says it has been holding dialogues with religious, philosophical, ethical, and cross-cultural groups about frontier AI. The work focuses on moral formation, Claude’s constitution, and what kind of character an AI system should exhibit under pressure. The company also describes an early experiment where Claude could call an ethical reminder tool during tasks, which reduced misaligned behavior in several internal evaluations.
Illinois lawmakers passed a landmark AI accountability bill requiring major frontier AI developers to publish safety frameworks, assess catastrophic risks, report incidents, and undergo third-party audits. OpenAI and Anthropic supported the measure, while industry groups warned that state-level rules could impose subjective compliance duties without national standards. The bill signals that states are continuing to fill the federal AI regulation gap despite Trump’s efforts to limit fragmented state oversight.