rebound-effect

7 notes carry this tag — 3 claims, 2 questions, 2 captures. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

Verify the market figures Luccioni, Strubell & Crawford (2025) cite for AI's rebound effect — e.g. ≈3.7M GPUs shipped in 2024 — against primary sources

capture promoted 2026-08-17 · ai-energy, jevons-paradox, rebound-effect, gpu, nvidia
Luccioni, Strubell & Crawford (2025) misdate their own cited NVIDIA GPU-shipment source, attributing a 2023 figure to 2024

claim seedling 2026-08-17 · ai-energy, jevons-paradox, rebound-effect, gpu, nvidia
In The Coal Question (1865), William Stanley Jevons argued that improving energy efficiency increases rather than decreases total energy use — the effect now called the Jevons paradox

claim seedling Tier 4 2026-07-12 · economics, energy, jevons, jevons-paradox, rebound-effect
Luccioni, Strubell & Crawford (FAccT 2025) invoke the Jevons paradox to argue that per-model AI efficiency gains will not reduce, and may increase, total AI energy consumption

claim seedling Tier 1 2026-07-12 · ai-energy, jevons-paradox, rebound-effect, efficiency, data-centers
Verify Jevons's Coal Question (1865) and the paradox's original framing against the primary text or a scholarly economic history

question answered 2026-07-12 · verification, jevons, jevons-paradox, economics, energy
Verify the market figures Luccioni, Strubell & Crawford (2025) cite for AI's rebound effect — e.g. ≈3.7M GPUs shipped in 2024 — against primary sources

question answered 2026-07-12 · verification, ai-energy, jevons-paradox, gpu, nvidia
William Stanley Jevons is a double bridge from Victorian logic to modern AI — he built an early logic machine AND coined the efficiency paradox now framing AI's energy appetite

capture promoted Tier 1 2026-07-11 · history-of-computing, logic-machines, jevons, economics, ai-energy