A study published on May 25, 2026, in ArXiv AI examines the constraints that shape the capabilities of large language models. These models are now able to perform complex tasks such as writing software and drafting legal documents.
The research draws on foundational concepts from Turing and Arrow, which outline fundamental limits in computation. These limits are crucial for understanding the potential and challenges of AI development.
Additionally, the study references the No Free Lunch theorems, which underscore the difficulties in achieving optimal performance across diverse AI applications. This highlights the need for careful design specifications in trustworthy AI systems.