Models & Researchllmsmodel behaviorexpert opinion
Bryan Cantrill Critiques LLMs' Lack of Laziness
6.3
Bryan Cantrill says LLMs inherently lack the virtue of laziness because work costs nothing to them. He argues that LLMs therefore do not feel compelled to economize effort or optimize for their own or others' efficiency, which can lead to unnecessary computation and inefficient outputs in AI systems.
Key Points
- 1LLMs lack a 'virtue of laziness' and do not self-limit or conserve effort.
- 2Because work costs nothing to LLMs, they have no built-in incentive to economize.
- 3This behavior can produce unnecessary computation, inefficient outputs, and poor prioritization.
Scoring Rationale
A notable expert critique that highlights model behavior and efficiency concerns relevant to practitioners tuning and deploying models.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems