The case for more experimentation and less planning with AI agents
One post argues that agents raise the opportunity cost of endless planning by making it possible to try vastly more things.
TLDR
A post makes the case for putting agents to work trying things rather than spending too long planning and contemplating. Its argument: agents expand what people can try, helping them learn much more, much faster.
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