·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning31m◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning31m◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models31m◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents31m◆Why Muon Outperforms Adam: A Curvature Perspective31m◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies31m◆q0: Primitives for Hyper-Epoch Pretraining31m◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach31m◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems31m◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation31m◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation31m◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection31m◆Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction31m◆SaliMory: Orchestrating Cognitive Memory for Conversational Agents31m◆Optimizing Explicit Unit-Distance Lower-Bound Certificates31m◆MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning31m◆Demystifying Multi-Agent Debate: The Role of Confidence and Diversity31m◆Physics-Informed Machine Learning for Short-Term Flood Prediction31m◆Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems31m◆POLARIS: Guiding Small Models to Write Long Stories31m◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning31m◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning31m◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models31m◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents31m◆Why Muon Outperforms Adam: A Curvature Perspective31m◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies31m◆q0: Primitives for Hyper-Epoch Pretraining31m◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach31m◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems31m◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation31m◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation31m◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection31m◆Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction31m◆SaliMory: Orchestrating Cognitive Memory for Conversational Agents31m◆Optimizing Explicit Unit-Distance Lower-Bound Certificates31m◆MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning31m◆Demystifying Multi-Agent Debate: The Role of Confidence and Diversity31m◆Physics-Informed Machine Learning for Short-Term Flood Prediction31m◆Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems31m◆POLARIS: Guiding Small Models to Write Long Stories31m◆
News/An open-source spec for orchestration: Symphony
openai
PublishedApril 27, 2026 at 12:00 AM

An open-source spec for orchestration: Symphony

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

Learn how Symphony, an open-source spec for Codex orchestration, turns issue trackers into always-on agent systems—boosting engineering output and reducing context switching.

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