Capabilities, limitations, and societal impact of large language models (LLMs)

AI Impact Summary

This CAPABILITY change signals a shift toward evaluating not just what LLMs can do, but how they should be used in production and governed. Technical teams should align on evaluation criteria that balance capability with risk, implement guardrails, and design architectures that support safe deployment (e.g., retrieval-augmented generation and prompt containment). Expect governance, security, and compliance workstreams to become central to product roadmaps as organizations explore use cases across customer-facing and regulated domains.