“too big too fail”, redux

Gary Marcus discusses the "too big to fail" concept in the context of AI systems, likely examining how large AI companies or models may pose systemic risks that make them difficult to regulate or shut down due to their widespread adoption and economic importance. The post probably explores parallels between financial institutions that were considered too big to fail during the 2008 crisis and contemporary concerns about concentrated power in large language models and AI development.

Source: Gary Marcus (X) | 2026-05-09