The Signal

Everything that matters in AI, with our take.

Updated through the day. Every headline links straight to the source. The two lines underneath are ours.

research1156 agents716 infra561 labs317 culture268 capital253 regulation233 claude175 openai149 safety103 security89 evaluation77 reasoning61 alignment52 benchmarks50 interpretability48

arXiv cs.LGPaper10d ago

Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security

This names a real trend: stateless tool-calling doesn't scale for complex tasks, and the field is converging on skills as a primitive. The paper formalizes the ecosystem across discovery, authoring, storage, retrieval, composition, execution, adaptation, and security. For teams building agent platforms or frameworks, this is the reference architecture you'll be compared against. Start thinking about your skill representation now.

agents systems research

arXiv cs.CLPaper11d ago

Efficient GUI Agents: A Systems Survey of Observation, Memory, Action, and Runtime Optimization

This is the survey the field needed. GUI agents are moving from toy demos to real deployment, and efficiency is now the constraint that matters. If you're building agents or choosing an agent framework, this gives you the vocabulary and the tradeoffs to avoid the mistakes everyone else is about to make.

agents research systems

arXiv cs.LGPaper16d ago

On the Resilience of Text-to-Video Diffusion Models to Hardware Faults

If you're running T2V models in production at scale, this matters. Memory faults are worse than compute faults, bfloat16 is riskier than alternatives, and the scary part is that some faults cause semantic changes, not just noise. This is the kind of systems reliability work that becomes critical as video generation moves from hobbyist to production. Test your deployment stack against these fault modes.

research video-generation reliability systems