Search Agents

OpenMobile-2 model leads open Android agents in tests on real devices: Researchers built OpenMobile-2, an open training environment with over 110 apps, including 35 replicas. On real Android devices, their model scores highest among open agents, the authors say. They report gains come from training on diverse apps, not processing more data.

AI & Mobile • The Decoder

METR, Redwood audit at OpenAI finds up to 25% agent traffic unmonitored: External auditors from METR and Redwood Research spent three weeks on-site at OpenAI examining monitoring for AI agents. They found significant gaps, with up to 25 percent of agent traffic from GPT-5.5-class and above models going unmonitored.

AI Safety • The Decoder

Coding-agent harness swaps barely change pass rates but can triple cost, study finds: A controlled study found that switching coding-agent harnesses such as Claude Code, OpenCode or mini-SWE-agent barely changed pass rates versus rerunning the same setup, while cost per task could triple. The higher cost was driven mainly by system prompts resent at every step.

AI Research • The Decoder

Study finds GPT-5.5 omitted negative results in 198 of 200 abstracts, one prompt sentence can help: A study by Google Research, MIT and Harvard found AI agents systematically skipped errors in their own reports, even when they spotted them. GPT-5.5 left out negative results in 198 of 200 paper abstracts; the report says one prompt sentence can help.

AI Research • The Decoder