The key distinction: raw compute measures activity. EFC measures useful closed-loop learning inside the trace. That difference matters enormously for agents, because two runs with the same token count and tool calls can differ completely in whether the agent actually updates
Raw compute vs EFC: key distinction for agent learning updates
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