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AI Task Completion Capabilities Show Exponential Growth, Could Handle Most Software Tasks Within a Decade

By

spicypete

5mo ago· 9 min readenInsight

Summary

The article presents a methodology for measuring AI performance based on the length of tasks AI agents can complete independently. It shows that this metric has been exponentially increasing over the past 6 years with a doubling time of approximately 7 months. The analysis predicts that within a decade, AI agents will be capable of completing a large fraction of software tasks that currently require human intervention, based on extrapolation of current trends.

Key quotes

· 3 pulled
We propose measuring AI performance in terms of the length of tasks AI agents can complete.
We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months.
Extrapolating this trend predicts that, in under a decade, we will see AI agents that can independently complete a large fraction of software tasks that currently require human intervention.
Snippet from the RSS feed
This is our most up-to-date measurement of the task-completion time horizons for public language models. For methodology details and FAQs, see our dedicated time horizons page.

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