OpenAI releases the LifeVal benchmark to test AI's ability to complete everyday tasks
On November 2, OpenAI released a new benchmark called LifeVal, intended to measure whether AI models can genuinely help ordinary people complete everyday affairs. The task design references U.S. and cross-national time-use surveys and surveyed 3,995 respondents, covering scenarios such as caregiving, health, education, household administration, personal finance, shopping, and government services. In the public examples, finding a kindergarten for a child scored 93.1%, organizing flood-control volunteers scored 98.0%, and preparing a meal plan for a parent with diabetes scored 90.4%; the benchmark is currently still mainly an internal OpenAI evaluation, and the outside world has not yet obtained the full task set, scoring code, or a reproducible leaderboard.
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LifeVal breaks everyday affairs into deliverable tasks, placing publicly available example scores alongside the limitations of internal evaluation, making it easier to judge what such benchmarks can actually measure.
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OpenAI Releases LifeVal Benchmark: From Choosing a Kindergarten to Filing Taxes, Testing AI's "Everyday Life" Skills
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In designing LifeVal's tasks, OpenAI first referenced the U.S. "American Time Use Survey" and the cross-national "Multinational Time Use Survey," then conducted a survey of 3,995 demographically representative respondents, asking them in which matters they most wanted a personal AI assistant to provide help.
Accordingly, LifeVal covers scenarios such as caregiving, health, education, household administration, personal finance, shopping, and accessing government services. Typical tasks include: after moving, selecting and enrolling a suitable kindergarten for a child; creating a diet and care plan for a family member with diabetes; purchasing ingredients within a budget; organizing government forms; and arranging community flood-control volunteers.
Unlike traditional benchmarks, LifeVal focuses more on whether tasks can be advanced to an "executable, deliverable" state. For example, AI should not just list kindergartens but filter them based on location, budget, commuting, and family needs; when handling finances, it should also take bills, income, and risk into account. OpenAI says models may need to understand chat records, browse the web, integrate information from multiple sources, and give recommendations suited to an individual's circumstances.
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However, LifeVal is currently still mainly an internal OpenAI evaluation. The outside world has not yet obtained the complete task set, scoring code, margin of error, or an independently reproducible leaderboard, so its results still need to be interpreted with caution.