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Aperio: A Programming Language Optimized for LLM-Driven Workflows

By

mmcclure

16d ago· 8 min readenInsight

Summary

This article introduces Aperio, a programming language designed specifically for LLM-driven workflows. It argues that languages designed before 2023 optimized for human-machine friction reduction, but in an LLM-driven context, traditional languages become more expensive due to hidden costs in token consumption. Aperio appears to be a new language tailored to reduce token costs and improve efficiency when working with large language models.

Key quotes

· 3 pulled
Every language designed before 2023 was optimized for a single tradeoff: minimize friction between human cognitive capacity and machine execution.
In an LLM-driven workflow, those languages don't get cheaper to use — they get more expensive.
The cost just hides in the LLM's token count.
Snippet from the RSS feed
Aperio language documentation.

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