What Happens When AI Outgrows the Tests We Use to Measure It?
TL;DR GPT-6 Astra has started another familiar AI conversation. The model is more capable, Jensen Huang said on X that "AGI has arrived," and social feeds quickly moved between excitement, curiosity, and fear about what comes next. I understand why the reactions are strong. AI is changing quickly, and some of the things these models can do now would have sounded surprising not long ago. But I…
Another AI model has been launched, sparking a flurry of debate and speculation. The benchmark scores provide a numerical indication of performance, but they are not the whole story. As models become increasingly capable, the benchmarks themselves can become less informative. The number may not change as much as the test itself, making it harder to gauge true progress. This has led to a shift in focus from simply measuring capability to finding alternative ways to evaluate AI systems.
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