Research
157d agoIntelligence Inertia Reveals Hidden Energy Costs
Researchers uncover a new principle—intelligence inertia—that explains why advanced AI systems consume disproportionately more energy and computational resources when reconfiguring symbolic knowledge. By extending Landauer’s thermodynamic limits with Fisher Information metrics, the study quantifies the hidden cost of maintaining interpretability across global AI deployments.
The Signal
These findings urge the industry to rethink efficiency standards worldwide.