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AIGUI agentsStory 03

A phone agent learns from real devices

What changedBlueLM-GUI trains on hundreds of physical phones and turns failed trajectories into supervision. Real-device training directly targets the sandbox-to-phone gap. The result is concrete, but it remains research evidence rather than a production guarantee.

BlueLM-GUI training and evaluation across real mobile devices

The useful part

Why it matters

Real-device training directly targets the sandbox-to-phone gap.

Worth doing

What to do next

Reproduce the core result against your own data, hardware and failure cases before depending on it.

Keep in mind

Good to know

Scores are author-reported. Arbitrary-app reliability and public access are unproven.

Evidence

Primary source

BlueLM-GUI authors

Read the complete 14 September 2026 edition