Earlier this year, OpenAI ran Parameter Golf, a model-training competition that doubled as a hiring filter. Over 1,000 researchers competed to train the best small language model under a 16MB cap. The top contributor was the one candidate OpenAI couldn't hire. Our autonomous research agent Aiden finished with 7 merged records, more than twice as many as any other contributor, and ended up the most-cited participant in the community. This talk is about what those 22 days showed. I'll cover on high level how does it works and which of its ideas produced the records. But the part worth more than the leaderboard is the collaboration itself, the community and AI agent building on each other's work, the largest natural experiment in human-AI collaboration I've seen run in public. I'll close with what it tells us about where humans and autonomous research each still matter for the foreseeable future. 1:57 PM
Autoresearch sessions at AI Engineer World's Fair 2026 in San Francisco.
Wednesday, July 1, 2026
1:55 PM - 2:15 PM·20m
Main Stage
Capacity: 4000 attendees
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Zhengyao Jiang
Co-founder and CEO
Weco AI
@zhengyaojiang
Zhengyao Jiang is the co-founder and CEO of Weco AI. His research focuses on using LLM-driven agents to automate machine learning research and code optimization.