Stanford and Anthropic release Terminal-Bench 2.0 for CLI agents
A joint Stanford and Anthropic team released Terminal-Bench 2.0, an 89-task benchmark for agents in real terminal environments, where long-horizon context drift keeps average resolution below 45%.
this paper is f*cking brilliant a joint team from Stanford and Anthropic released Terminal-Bench 2.0 to evaluate AI agents in real command-line terminal environments the result: 89 complex terminal tasks reveal huge performance gaps across top frontier models and agent scaffolds the crazy part is how real CLI execution environments expose agent failure modes agents execute terminal bash commands inside containerized sandboxes, but cascading tool errors and long-horizon context drift drop average resolution rates below 45% most coding benchmarks evaluate simple code completion or isolated unit test generation this benchmark tests autonomous agents inside a live interactive terminal shell read the complete paper + article about gpt-6 Astra below save it for future reference
This post quotes another post: x.com/beamnxw/status/2098087790663672123