One signal

Goodfire has launched a system it says can monitor AI agents by looking inside the model as it works, rather than having a second AI read every action. The company says this approach costs less and calls in extra scrutiny only when something looks suspicious, TechCrunch reports.

That is a notable pitch in a field where monitoring agents can mean adding another layer of AI to watch the first one. If Goodfire’s approach works as described, it could make oversight less costly. The report does not provide figures to quantify the claimed savings. “Inside-out” monitoring sounds more efficient than appointing an AI chaperone for every agent. The useful test will be whether it catches problems reliably, not merely whether it trims the bill.

Discuss: Would you trust a monitor that examines a model internally over one that checks its actions from the outside, or should high-stakes agents use both?

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