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Some tasks are simple, but cannot be performed by a computer. Audio transcription, image recognition, survey completion–these are simple procedures that almost any human could execute, but the machine learning models have not gotten consistent enough to do them accurately.
Scale is an API for human labor, created by Lucy Guo and Alexandr Wang. Similar to Amazon Mechanical Turk, Scale sends small, simple tasks to workers who can complete those tasks. Scale provides an interface that is easy for developers to use, unlike Mechanical Turk, which requires a dashboard.
Similar to how Stripe allows developers to build software off of payments systems easily, Scale allows developers to build human-driven, manual tasks into their code–which unlocks a wide range of potential applications, which Lucy and Alexandr discussed with me.