Introducing Skops

Measuring progress toward AGI: A cognitive framework

We’re introducing a framework to measure progress toward AGI, and launching a Kaggle hackathon to build the relevant evaluations.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments

arXiv:2509. 06419v2 Announce Type: replace Abstract: Time-series anomaly detection is crucial in AIOps for maintaining large-scale service reliability.

AgentOps Is Not MLOps: What Breaks in Your Monitoring Stack When Agents Go to Production

The article explains how the five core assumptions of MLOps monitoring are violated when agents are deployed to production, leading to inherited signals that incorrectly mark failed runs as healthy. It highlights the specific ways in which agent-based systems disrupt traditional monitoring stacks and the implications for reliability and performance. The piece serves as a warning for practitioners transitioning from MLOps to AgentOps, outlining the critical monitoring gaps that arise.

Architecturally Significant MLOps Guidelines for ML Model Integration and Deployment: a Gray Literature Review

arXiv:2606. 06535v1 Announce Type: cross Abstract: Context.

Introducing smolagents: simple agents that write actions in code.

The Abstention Protocol: RCA for Clos Fabrics

arXiv:2608.21412v1 Announce Type: new Abstract: Root cause analysis (RCA) in large datacenter networks is challenging because telemetry is noisy, partial, and asynchronous. Score-based approaches deg...