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OpenAI's new LifeVal benchmark tests AI on everyday life tasks
OpenAI has built a new evaluation called LifeVal that measures how well its models handle the practical tasks people deal with day to day, rather than academic knowledge tests.
·1 min read·AB

OpenAI @OpenAI
For AGI to benefit all of humanity, it should help people with the everyday tasks that matter most to them. So we built LifeVal, a new benchmark shaped by feedback from thousands of ChatGPT users on where they most want help from a personal assistant—from finding childcare to… pic.twitter.com/Q2EfGvHJpA
OpenAI has built a new evaluation called LifeVal that measures how well its models handle the practical tasks people deal with day to day, rather than academic knowledge tests. The goal is to help the more than one billion weekly ChatGPT users get real assistance with things like finding childcare, accessing government services, budgeting, preparing for school, modifying recipes, ordering groceries and designing workout plans.
To build the benchmark, OpenAI started from existing time use research, the American Time Use Survey and the Multinational Time Use Study, which catalog everyday tasks across different demographics, times of day and seasons. It added its own survey of nearly 4,000 people asking where they most wanted help from a personal assistant, covering caregiving, health, education, household administration, personal finances, shopping and government services.
OpenAI says it has used LifeVal over the past year to track and improve how its models perform on these tasks, and that its latest models score very highly on many of them, citing examples like finding the right kindergarten after a move or planning meals for a parent with a new diabetes diagnosis. The company frames this work as part of a broader push to make ChatGPT act more like an agentic personal assistant that can take actions, not just offer advice.
Why it matters
It gives a concrete way to judge whether AI assistants are actually useful for ordinary life admin, not just trivia and coding.
Source: OpenAI