AI architecture

A new research paper argues that code serves as the primary thinking and action mechanism for AI agents, not merely their output product. This perspective could reshape how developers design AI systems and how businesses evaluate AI capabilities for automation tasks.

German researchers developed a new Transformer architecture designed to handle both mathematical reasoning requiring thinking time and everyday knowledge requiring memory. This addresses a key limitation in current AI systems that struggle to balance computational approaches for different types of problems.