The two researchers point out that most of the cost reduction on the nanoGPT benchmark comes from technical improvements by human researchers, which optimizes the denominator rather than the numerator; the true RSI signal should be the same efficiency gains being applicable to GPT-5-scale models, and this has not yet been observed.