---
title: "An AI Agent Became the #1 Contributor in OpenAI's Hiring Challenge"
category: "talks"
date: "2026-06-30"
time: "1:55pm-2:15pm"
track: "Autoresearch"
room: "Main Stage"
speakers: ["Zhengyao Jiang"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Autoresearch"
scheduleRoom: "Main Stage"
scheduleLabels: ["Autoresearch", "Main Stage", "session", "confirmed"]
---
# An AI Agent Became the #1 Contributor in OpenAI's Hiring Challenge

## Conference Context
- Date/time: 2026-06-30 · 1:55pm-2:15pm
- Track/room: Autoresearch · Main Stage
- Speaker(s): Zhengyao Jiang
- Session type/status: session · confirmed

- Track: Autoresearch
- Room: Main Stage
- Session type: session
- Status: confirmed

## Session 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

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[zhengyao-jiang]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

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

### Speaker And Company Context
- [[zhengyao-jiang|Zhengyao Jiang]] — CEO & Cofounder at [[weco-ai|Weco AI]].

### Topics Covered
- [[agentic-search]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.