The lifecycle of AI benchmarks is compressing at an exponential rate. What once took years now happens in months.
The Compression Timeline
- ImageNet (2012): ~3 years to human-level
- SuperGLUE (2019): ~2 years to saturation
- GLUE (2018): ~1 year to saturation
- SWE-bench (2024): Major jumps in months
By the time most businesses notice a capability exists, it’s already mature enough to disrupt them.
Read the full analysis on The Business Engineer.
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Source: The Saturation Acceleration: Why AI Capabilities Mature Faster Than You Think
