The Jev demo improved aircraft recognition accuracy from 49% to 63% over three rounds without updating model weights by integrating with Google Research's Harness², which automatically rewrites prompts, creates new tools, and retains learning across runs.

Name: The Jev demo improved aircraft recognition accuracy from 49% to 63% over three rounds without updating model weights by integrating with Google Research's Harness², which automatically rewrites prompts, creates new tools, and retains learning across runs.
Uploaded: 2026-10-23T09:00:41.475Z
Channel: edward40e
Description: The Jev demo improved aircraft recognition accuracy from 49% to 63% over three rounds without updating model weights by integrating with Google Research's Harness², which automatically rewrites prompts, creates new tools, and retains learning across runs.

edward40eevaluation-benchmarking2.1K views · 19 likes

Discovered 2026-10-23, refreshed 2026-10-25. Descriptions and stats are pulled from the project's own X post and refreshed automatically — they aren't independently verified by JevTracks beyond the initial eligibility check.