Recently, OpenAI released the LifeVal benchmark to measure AI performance in everyday life scenarios such as caregiving, health, education, household management, personal finance, and government services. Unlike traditional evaluations that focus on knowledge Q&A and individual capabilities, LifeVal focuses on whether AI can advance tasks to an executable and deliverable state, assessing its ability to solve real-world problems.

The benchmark references the American Time Use Survey and was constructed based on a survey of 3,995 respondents. Over the past year, OpenAI has continued to use LifeVal to track improvements in model capabilities. Public test cases show that AI scored 93.1% on the task of selecting kindergartens for children, 98.0% on organizing flood-prevention volunteers, and 90.4% on creating meal plans for people with diabetes.
OpenAI also emphasized that LifeVal is currently mainly used as an internal evaluation tool and has not yet fully opened its task set and scoring code to the public, so the relevant test results still need to be interpreted with caution.
The launch of LifeVal reflects that OpenAI is extending its model evaluation focus from information understanding and content generation to the planning and execution of complex real-world tasks, driving AI's evolution from a conversational tool to a personal assistant with practical action capabilities.
Join Now