The gigawatt gap. Why China is structurally positioned for AI power and the US is engineering around its grid.

Analysis of how China leverages its centralized power infrastructure to close the gigawatt gap in AI deployment, contrasting with US fragmentation.

Phase 1 synthesis. What the four sectors crystallize.

Empirical analysis confirms four distinct AI-driven labor displacement patterns across sectors, establishing a structural foundation for policy responses.

Agentic Loop Failure Modes: A Production Taxonomy at the End of Year One

A new taxonomy categorizes failure modes in production agentic systems after one year of deployment, aiding debugging and architectural decisions.

The Stanford AI Index 2026 Audit: Reading the Field’s Annual Report Card With a Critic’s Pen

The Stanford AI Index 2026 has been published, offering a comprehensive report on AI progress. This analysis examines its methodology, reliability, and implications.

ALIA. The Spanish answer.

Spain launches ALIA, a 40B parameter multilingual AI trained on 9.37 trillion tokens, marking Europe’s largest public AI project with strategic focus on Spanish adoption.

The Ghost Story Became a Forecast.

Thorsten Meyer analyzes Clark’s recent essay revealing a bivalent forecast for AI development, with significant implications for policy and research.

Saturation. The ten-essay framework, closed.

The ten-essay framework on European sovereign LLMs has been completed, marking a structural saturation point as of May 2026, with external events expected to shape next steps.

EuroHPC. The compute substrate.

An analysis of EuroHPC’s compute substrate, its current capabilities, and structural challenges for Europe’s AI ambitions amid new investments and projects.

Apertus. The architectural template.

Apertus, developed by Swiss research institutions, introduces a new model for European sovereign AI with open data, multilingual support, and compliance features.

Engineering Is Automated. Research Is the Residual.

Recent developments show AI can automate core engineering tasks, but research still relies on human creativity. What this means for AI progress and industry.