·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Integrating High-Level Requirements to Low-Level Tests with Machine-Readable V&V Specifications58m◆Lifelong Multi-Subsystem Pickup and Delivery with Buffer-Limited Handover Stations58m◆MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference58m◆Mobile Network Control with a World Model58m◆DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation58m◆Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking58m◆Generalize and Guide: Decomposing Rewards for Few-Shot Inverse Reinforcement Learning58m◆Time-Frequency Consistency Learning for Robust Speech Deepfake Detection58m◆Autonomous Discovery of Wireless Communications Algorithms58m◆FIFA World Cup 2026 as a Contamination-Free Benchmark for LLM Forecasting Agents: Four Models, a Bookmaker, and 104 Matches58m◆Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence58m◆Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods58m◆CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging58m◆ETAS: An Effect-Typed Language for Agent Systems58m◆BrainNext: A General-Purpose Self-Supervised Foundation Model for Brain MRI Analysis58m◆Feature Attribution-Based Explainability Analysis of Deep Learning Models in Predictive Process Monitoring58m◆Reasoning as a Double-Edged Sword: Architecture and Cross-Stage Robustness in Vision-Language-Action Models58m◆Medical Imaging Fusing Vision Transformer: Laryngeal Cancer Screening with Explanation58m◆ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video58m◆Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D--2D Registration for Liver Laparoscopy58m◆Integrating High-Level Requirements to Low-Level Tests with Machine-Readable V&V Specifications58m◆Lifelong Multi-Subsystem Pickup and Delivery with Buffer-Limited Handover Stations58m◆MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference58m◆Mobile Network Control with a World Model58m◆DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation58m◆Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking58m◆Generalize and Guide: Decomposing Rewards for Few-Shot Inverse Reinforcement Learning58m◆Time-Frequency Consistency Learning for Robust Speech Deepfake Detection58m◆Autonomous Discovery of Wireless Communications Algorithms58m◆FIFA World Cup 2026 as a Contamination-Free Benchmark for LLM Forecasting Agents: Four Models, a Bookmaker, and 104 Matches58m◆Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence58m◆Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods58m◆CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging58m◆ETAS: An Effect-Typed Language for Agent Systems58m◆BrainNext: A General-Purpose Self-Supervised Foundation Model for Brain MRI Analysis58m◆Feature Attribution-Based Explainability Analysis of Deep Learning Models in Predictive Process Monitoring58m◆Reasoning as a Double-Edged Sword: Architecture and Cross-Stage Robustness in Vision-Language-Action Models58m◆Medical Imaging Fusing Vision Transformer: Laryngeal Cancer Screening with Explanation58m◆ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video58m◆Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D--2D Registration for Liver Laparoscopy58m◆
News/Safety and alignment in an era of long-horizon models
openai
PublishedJuly 20, 2026 at 10:00 AM
—neutral

Safety and alignment in an era of long-horizon models

Source
openai.comfull article ↗
Read on openai→
Publisher summary· verbatim

OpenAI shares lessons from deploying long-running AI models, highlighting new safety risks, observed failures, and improved safeguards through iterative deployment.

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
openai
Read original ↗All from openai →

No replies yet. Be first.

Source
↗
openai
Read original ↗All from openai →
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on openai ↗
HomeModelsNews