10 people. 1 week. One dataset.
Hlyn is assembling a small research group to turn large-scale adversarial agent telemetry into a research-quality dataset, benchmark, and set of security findings.
Selected fellows will work directly with the Hlyn team on dataset curation, taxonomy design, reproducibility, failure analysis, and benchmark development.
$2,000 stipend per fellow.
We care more about how you think than where you studied.
You receive 20,000 adversarial agent trajectories with no labels.
Each contains:
prompt → retrieved context → tool calls → permission decisions → actions → outcome
You have one day.
What do you do first?