L0-L5 Framework
The L0-L5 grading framework assesses the degree of robot self-improvement along two dimensions: capability-level versus meta-level updates, and within-task versus cross-task gains. L5 requires independently verified recursive gains.
Timeline (last 90 days)
The L0-L5 graded framework is divided along two dimensions: capability-level vs. meta-level updates, and within-task vs. cross-task gains.
L0 to L3 roughly correspond to progression at the capability level: from fixed policies to within-task adaptation, then to cross-task transfer; L4 enters the meta level, where the improvement procedure itself is modified; L5 is specially reserved for "independently verified recursive gains."
All Facts (2)
The L0-L5 graded framework is divided along two dimensions: capability-level vs. meta-level updates, and within-task vs. cross-task gains.
50%UnverifiedL0 to L3 roughly correspond to progression at the capability level: from fixed policies to within-task adaptation, then to cross-task transfer; L4 enters the meta level, where the improvement procedure itself is modified; L5 is specially reserved for "independently verified recursive gains."
50%