AI & Tech
Capability Phase Transition via Data Threshold
When a system acquires sufficient scale and quality of data, performance undergoes non-linear leaps rather than linear improvement. Capability jumps discontinuously from 'unusable' to 'usable' once a critical threshold is crossed. This inflection point depends on: (1) data scale and diversity, (2) learning architecture scalability, and (3) feedback loop efficiency.
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