aiqbench analysis
This paper establishes a theoretical framework linking global energy consumption to the upper limits of machine cognition, using human brain processing rates as a calibration unit. The author concludes that current physical constraints are not binding for AI development, suggesting future bottlenecks will depend on engineering choices regarding hardware efficiency rather than raw power availability. While it touches on societal implications like access and equity, these remain secondary to the core quantitative analysis of computational ceilings driven by energy and physics.
The Cognitive Kardashev Scale: Quantifying the Material Envelope of Civilisational Computation
arXiv:2605.22840v2 Announce Type: replace-cross Abstract: How much thinking can a civilisation do? Kardashev ranked civilisations by the energy they command. This paper borrows his ladder and asks how much machine cognition each rung could support. The arithmetic is deliberately simple. A civilisation has some total power. Only a fraction of that can be spared for computing, and each joule spent buys computation at whatever efficiency the hardware of the day has reached. The product of the three sets a ceiling on machine thought. To keep the resulting quantities intelligible, I express them in units of the human brain's own processing rate, as a rough yardstick rather than a claim about minds. Calibrating the ceiling against present-day supercomputers and AI accelerators led me to two conclusions I did not expect at the outset. Even today's energy supply could support far more machine cognition than humanity actually uses, so physical capacity is not what binds. And whether energy or hardware efficiency becomes the constraint over the coming decade turns on engineering choices that have not yet been made. On the question that may matter most, who gets access to the cognition it describes, the scale is silent. That is a matter of political economy, and the calibration is offered as an input to that debate.
Abstract:How much thinking can a civilisation do? Kardashev ranked civilisations by the energy they command. This paper borrows his ladder and asks how much machine cognition each rung could support. The arithmetic is deliberately simple. A civilisation has some total power. Only a fraction of that can be spared for computing, and each joule spent buys computation at whatever efficiency the hardware of the day has reached. The product of the three sets a ceiling on machine thought. To keep the resulting quantities intelligible, I express them in units of the human brain's own processing rate, as a rough yardstick rather than a claim about minds. Calibrating the ceiling against present-day supercomputers and AI accelerators led me to two conclusions I did not expect at the outset. Even today's energy supply could support far more machine cognition than humanity actually uses, so physical capacity is not what binds. And whether energy or hardware efficiency becomes the constraint over the coming decade turns on engineering choices that have not yet been made. On the question that may matter most, who gets access to the cognition it describes, the scale is silent. That is a matter of political economy, and the calibration is offered as an input to that debate.
Physics and Society (physics.soc-ph); Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
arXiv:2605.22840 [physics.soc-ph]
(or arXiv:2605.22840v2 [physics.soc-ph] for this version)
https://doi.org/10.48550/arXiv.2605.22840 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 308 words
