How to Systematically Build More Realistic Mobile Agent Environments for Large‑Scale Training

PhoneWorld reconstructs mock Android apps from real‑world usage traces, creating scalable, resettable, and verifiable environments that let Mobile Agents train on realistic page structures, navigation paths, and state changes, and the paper shows substantial gains across four mobile benchmarks.

AI trainingMobile AgentPhoneWorld

0 likes · 12 min read

How to Systematically Build More Realistic Mobile Agent Environments for Large‑Scale Training

SuanNi

May 22, 2026 · Artificial Intelligence

Why Qwen3.7-Max Is Sending Overseas Developers Into a Frenzy

Qwen3.7-Max demonstrates product‑level long‑task autonomy with 35 hours of uninterrupted operation, 1,158 tool calls, and kernel‑level optimizations, while outperforming Gemini 3.5‑Flash, Claude Opus, and GPT‑5.5 across a wide range of benchmarks, cost‑effectiveness, and real‑world agent scenarios.

AIQwen3.7-Maxagent

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Why Qwen3.7-Max Is Sending Overseas Developers Into a Frenzy

environment scaling

How to Systematically Build More Realistic Mobile Agent Environments for Large‑Scale Training

Why Qwen3.7-Max Is Sending Overseas Developers Into a Frenzy