AI Daily — June 13, 2026
2026-06-13
www.anthropic.com
Statement on the US government directive to suspend access to Fable 5 and Mythos 5
Anthropic has published a statement responding to a US government directive requiring it to suspend access to two models named Fable 5 and Mythos 5. This marks a significant instance of direct government intervention in frontier model deployment, with implications for how AI labs handle regulatory compliance and model access controls. The full details of the directive and Anthropic's compliance posture are outlined in the statement.
www.anthropic.com
Results from the first Anthropic Public Record
Anthropic has released results from its inaugural Public Record, a transparency initiative intended to provide structured public disclosure of key safety and operational data. This represents a concrete step toward standardized accountability reporting for frontier AI labs, potentially influencing disclosure norms across the industry. Technical and policy details of what was disclosed are documented in the release.
www.technologyreview.com
Google DeepMind is worried about what happens when millions of agents start to interact
DeepMind's AGI safety and alignment research director Rohin Shah is funding work on emergent risks from large-scale multi-agent systems operating without human oversight. The concern centers on unpredictable systemic behaviors that arise when agent-to-agent instruction-following scales to millions of instances online. This highlights a growing gap in current safety frameworks, which are largely designed for single-model or human-AI interaction scenarios.
huggingface.co
olmo-eval: An evaluation workbench for the model development loop
Allen AI has released olmo-eval, an open evaluation workbench designed to integrate directly into the model development loop rather than serving as a post-hoc benchmarking tool. It is built to support iterative model development workflows, enabling researchers to track evaluation metrics continuously across training. The tooling is open-source and hosted on Hugging Face, targeting teams working on open language model development.