Goodfire says its new ‘inside-out’ monitors catch rogue AI agents at a fraction of the cost
Provides developers with more efficient AI safety monitoring through direct model introspection rather than secondary analysis.
AI Summary
Goodfire launched 'inside-out' AI monitoring that detects rogue agents by analyzing internal model activations instead of output text, reducing costs.
Excerpt
Goodfire just launched what it says is a cheaper way to keep AI agents in check: Instead of paying a second AI to read everything an agent does, its monitors peek inside the model while it works and only call in backup when something looks fishy.
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