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Mira Murati steps back into the spotlight, carefully2h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning3h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning3h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models3h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents3h◆Why Muon Outperforms Adam: A Curvature Perspective3h◆Vision Hopfield Memory Networks3h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies3h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment3h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations3h◆q0: Primitives for Hyper-Epoch Pretraining3h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach3h◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems3h◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation3h◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation3h◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection3h◆Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction3h◆SaliMory: Orchestrating Cognitive Memory for Conversational Agents3h◆Optimizing Explicit Unit-Distance Lower-Bound Certificates3h◆MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning3h◆Mira Murati steps back into the spotlight, carefully2h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning3h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning3h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models3h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents3h◆Why Muon Outperforms Adam: A Curvature Perspective3h◆Vision Hopfield Memory Networks3h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies3h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment3h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations3h◆q0: Primitives for Hyper-Epoch Pretraining3h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach3h◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems3h◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation3h◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation3h◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection3h◆Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction3h◆SaliMory: Orchestrating Cognitive Memory for Conversational Agents3h◆Optimizing Explicit Unit-Distance Lower-Bound Certificates3h◆MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning3h◆
News/A blueprint for democratic governance of frontier AI
openai
PublishedJune 3, 2026 at 10:00 AM
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A blueprint for democratic governance of frontier AI

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OpenAI outlines a blueprint for U.S. governance of frontier AI, proposing a federal framework for safety, resilience, and national security.

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