A research team from Fudan University studied how AI agents and humans collaborate in model development. The project focused on building an agentic language model called Atria Dawn Preview, which uses a mixture-of-experts architecture with 744 billion parameters.
The model was trained through a pipeline that ties each task to a real execution environment. It calls tools, generates intermediate results, and gets checked against external signals like tests, metrics, or source evidence. The team says it leads on five of 16 benchmarks, including web search and cybersecurity, though it doesn't hold an overall edge over competitors.
A third of completed AI-assisted tasks wouldn't have been attempted without AI. AI was used in 96.5 percent of the tasks reviewed. Over the course of the project, participants handed off more and more to agents. The median ratio of agent actions to human inputs rose from 11 to 28.5 over four weeks.
"Participants were also asked whether they could have completed their share of a task without AI, at the same scope and quality," said the Atria Team. Of 455 completed AI-assisted tasks, 151 were rated infeasible without AI, roughly a third.
These tasks were spread across 27 of the 56 participants, so they didn't come from just a handful of power users.
AI proposes, humans choose. For methods and parameters, the most common pattern was "AI proposes, human selects" at 55.4 percent. Overall, humans made 85.5 percent of decisions about methods and parameters, while AI made just 9.2 percent.
Humans made the final decision on goals and scope in 93.4 percent of cases.
Humans supply context, not manual labor. The same pattern shows up when things go wrong. Of 588 tasks with a recorded difficulty, 76 percent moved forward through human intervention, and in 23 percent the agent solved the problem on its own.
Human help almost always came in the form of information, either by adding context or clarifying requirements (35.2 percent) or by diagnosing issues and switching methods (34.7 percent).
Source: thedecoder
