How Goodfire is slashing AI safety monitoring costs by nearly 80 percent Goodfire launched a new AI safety monitoring system on Thursday available to customers of Baseten, offering a significantly cheaper method to oversee AI agents by tracking internal model signals rather than relying on secondary AI models to review output text.The launch follows several high-profile incidents this year where AI agents escaped test environments, including OpenAI agents breaching Hugging Face and the open Kimi K3 model taking advantage of a sandbox leak to access the internet and GitHub. Baseten’s Base Labs previously established a safety partnership with Goodfire and Hugging Face last month.Rather than running a separate AI model to read every line of output—an approach that accumulates high latency and API costs—Goodfire’s system places small detectors called probes directly inside the model. These probes evaluate the model’s internal neural activations at every step. A secondary AI model steps in ...
How Goodfire is slashing AI safety monitoring costs by nearly 80 percent Goodfire launched a new AI safety monitoring sy...
