Mainstream Thermodynamics
Steam Cycle Inefficiency
Conventional power generation method converting energy to heat then mechanical motion then electricity with significant losses
Scientists / Papers
Various thermodynamic researchers
Theories Citing This Reference (2)
AI Scaling Requires Fundamental Hardware Paradigm Shift
Current approaches to AI scaling - simply building larger data centers with more GPUs and nuclear power plants - are unsustainable and insufficient for achieving human-level AI. A fundamental rethinking of the hardware layer is required, and thermodynamic computing represents a path to 'densifying intelligence in matter' by converting energy to intelligence far more efficiently than current architectures.
Direct Energy Conversion Revolution
Proposes a new energy paradigm replacing inefficient steam cycles with 90 to 100 percent efficient direct conversion from aneutronic fusion charged particles