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How to Automate Software Engineering
Mechanize Inc. is developing virtual environments and benchmarks to fully automate the economy.
This is the principle that drove the pretraining revolution, where scaling up training on massive text datasets allowed models to spontaneously develop powerful meta-learning abilities. The roadmap to success will most likely start with training or fine-tuning on data from human professionals performing the task, and proceed with reinforcement learning in custom environments designed to capture more of the complexity of what people do in their jobs. Time spent writing code may increasingly shift to tasks that are more difficult to automate, such as defining the scope of applications, planning features, testing, and coordinating across teams.
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