An AI Agent Became the #1 Contributor in OpenAI's Hiring Challenge
Official Schedule Context
- Date/time: 2026-06-30 · 1:55pm-2:15pm
- Track/room: Autoresearch · Main Stage
- Speaker(s): Zhengyao Jiang
- Session type/status: session · confirmed
Official Description
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
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