Anthropic’s Claude Cowork introduces live artifacts as an alternative to static dashboards. The feature is still in early testing with no formal release, and users have reported reliability and scaling challenges. Organizations will need to set up permissions, access controls, and audit trails before connecting live data sources.

This article examines the reliability issues of large language models (LLMs) used in AI, highlighting their tendency to hallucinate and produce incorrect information. New research indicates that these problems stem from the models' inherent design, raising concerns about their suitability for high-stakes applications like law and accounting. Investors may need to reconsider the viability of AI business models given these risks.