UTC05:21ZNowSIREN 456.6/100Delta+0.5upsince 03:34ZObservedSources15/15reportingStatusOPERATIONAL

Which AI stories has SIREN scored in this window? · Which AI activity pillars have SIREN pages? · Which AI activity pillars has SIREN scored?

What has SIREN scored under Capability?

Preprints, model releases, release notes, repository activity. The field leaves a paper trail every time it moves. This pillar counts the trail; it does not read it.

66.4Pillar score / 100
183Scored stories in window
2116Older in archive
LIVESource posture

This page is the crawlable face of the Capability filter on the newsroom. The composite SIREN reading still lives on AI activity index today · SIREN; the method is on How the SIREN AI activity index is computed · methodology.

Which scored stories are under Capability in this window?

  1. Q&A: The “collision” between AI, your brain, and society MIT-NEWS-AI · 30.8
  2. openai/openai-agents-python v0.24.0 GITHUB-RELEASES · 40.8
  3. More Than Three Quarters of Small Business Owners Say AI Makes Them More Productive, But Most Need More Guidance META-NEWS · 33.3
  4. Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation HF-DAILY-PAPERS · 54.6
  5. LatentLoop: Scaling Looped MoE Models with Asymmetric Compute Allocation HF-DAILY-PAPERS · 51.2
  6. ActionOPD: Distilling Decisions, Not Tokens HF-DAILY-PAPERS · 50.9
  7. LensErase: A Foundation Model for Erase Anything HF-DAILY-PAPERS · 50.0
  8. Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory HF-DAILY-PAPERS · 49.8
  9. Beyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation HF-DAILY-PAPERS · 48.7
  10. Hybrid Reasoning Agents HF-DAILY-PAPERS · 48.4
  11. KV4-RL: Unlocking Faster Asynchronous Rollouts for RLVR with INT4 KV Cache Quantization HF-DAILY-PAPERS · 48.4
  12. APT: Feedback-Driven Agentic Post-Training for Text-to-Image Generation HF-DAILY-PAPERS · 47.5
  13. Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents HF-DAILY-PAPERS · 47.2
  14. HumanoidToolBench: Benchmarking Humanoid Tool Use from Selection to Mobile Execution HF-DAILY-PAPERS · 46.6
  15. Towards Agentic Robots: Model, Data, Environment, and Harness HF-DAILY-PAPERS · 46.6
  16. More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning HF-DAILY-PAPERS · 45.5
  17. τ-Emotion-Bench: Exposing the Interaction Fragility of LLM Agents through Real-World User Emotions HF-DAILY-PAPERS · 45.5
  18. RAR: Rate-Adaptive Rollout for Time-Consistent Interactive World Models HF-DAILY-PAPERS · 45.0
  19. Efficient Scene-Text Refinement via Pixel-Space Grouped Image Generation HF-DAILY-PAPERS · 45.0
  20. DecisionRobust: Benchmarking Robustness for JEV Style Decision Models Across Text and Vision HF-DAILY-PAPERS · 44.9
  21. GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning HF-DAILY-PAPERS · 44.4
  22. G^3VLA: Geometric Inductive Bias for Vision-Language-Action Models HF-DAILY-PAPERS · 44.4
  23. SkillMarker: A KGW-Based Watermarking Method for Agent Skill Ownership Verification HF-DAILY-PAPERS · 43.0
  24. Are We Testing Too Much? A Survey of Benchmark Compression for Efficient Evaluation of Large Language Models HF-DAILY-PAPERS · 43.0
  25. TextVerifier: Seeing Beyond Recognition to Verify Chinese Text Rendering HF-DAILY-PAPERS · 43.0
  26. Long-Horizon RL Needs Muon HF-DAILY-PAPERS · 43.0
  27. Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following HF-DAILY-PAPERS · 41.9
  28. Exploring the Limits of Combinatorial Generalization in Embodied Manipulation HF-DAILY-PAPERS · 41.9
  29. SafeDriveVLA: Navigation-Conditioned World Model Dreaming for Conflict-Aware End-to-End Autonomous Driving HF-DAILY-PAPERS · 41.9
  30. VITAL: From Visual Motion to Precise Action HF-DAILY-PAPERS · 41.9
  31. Physical Time as a Missing Dimension of Robot Policy Memory Dynamics HF-DAILY-PAPERS · 41.9
  32. What Makes a Social Agent's Interactions Effective? Learning from Verifiable Outcomes in Paired Worlds HF-DAILY-PAPERS · 41.9
  33. Acting Through Registers HF-DAILY-PAPERS · 41.9
  34. MimicX: Policy-in-the-Loop Supervision Refinement for Video-Driven Humanoid Motion Tracking HF-DAILY-PAPERS · 40.5
  35. Training LLMs for Multi-Agent Collaboration with Verifiable Information Rewards HF-DAILY-PAPERS · 40.5
  36. Diff Diffusion: Predicting Edit Paths with Diffusion Models for Efficient Code Editing HF-DAILY-PAPERS · 40.5
  37. SWEeper-Bench: Can Agents Discover Bugs in Interactive Software? HF-DAILY-PAPERS · 40.5
  38. MA-Bench: Measuring Operational Planning in Language Models HF-DAILY-PAPERS · 38.0
  39. googleapis/python-genai v2.31.0 GITHUB-RELEASES · 39.6
  40. ollama/ollama v0.40.5 GITHUB-RELEASES · 38.4

143 more in the window — see Which scored AI stories are in the SIREN live window?.

Which older scored stories are under Capability?

Kept in the permanent archive after they left the live window. Still scored stories — not a forecast.

  1. Presentation: You Can't Trust Your AI Bill. And Neither Can I INFOQ-AI · 18.2
  2. Article: When Should You Use Liquid Clustering? Benchmarking Lakehouse Layout Strategies INFOQ-AI · 18.2
  3. Podcast: What Does It Really Mean To Program With AI: A Conversation with Joy Ebertz INFOQ-AI · 18.2
  4. Learning to Play Like a Pro: Adaptive Motion Planning and Tracking for Humanoid Robots IEEE-AI · 19.4
  5. Self-Compacting Language Model Agents APPLE-ML · 22.1
  6. Private, offline and yours: how to search the literature with local AI systems NATURE-ML · 20.9
  7. Award-winning microscopy image disqualified over AI use NATURE-ML · 20.9
  8. RSI-Anything: Unlocking Recursive Self-Improvement with World Models HF-DAILY-PAPERS · 48.3
  9. Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged APPLE-ML · 22.1
  10. Machine learning analysis of cilia driven particle transport distinguishes primary ciliary dyskinesia from normal cilia NATURE-ML · 20.9
  11. Hidden signals in sleep can predict future health NATURE-ML · 20.9
  12. I told ChatGPT to ‘continue’ — it went too far NATURE-ML · 23.9

Which older AI stories has SIREN kept in the archive?

What questions do people actually ask?

What has SIREN scored under Capability?

183 scored stories under the Capability pillar in the live window (2116 older in the archive). Preprints, model releases, release notes, repository activity. The field leaves a paper trail every time it moves. This pillar counts the trail; it does not read it. Current reading: 66.4 of 100 this hour.

Which scored stories are under Capability in this window?

183 scored stories under Capability in the current window. A pillar filter on the newsroom — not a pillar doom score.

Which older scored stories are under Capability?

Kept in the permanent archive after they left the live window. Still scored stories — not a forecast.

Which other pillars have scored stories?

The other SIREN pillars, each linking What has SIREN scored under that pillar?

Does SIREN publish a Capability doom score?

No. Activity tempo, not probability of harm. A pillar page lists scored stories and the live tempo reading against this index’s frozen reference.

Which other pillars have scored stories?

Search-shaped directory: Which AI activity pillars has SIREN scored?.

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