Images of Extropic's superconducting lab, cryogenic fabrication facility, and thumbnail-sized chips with visible features
Source: Extropic's published materials and lab tour footage
Significance
Shows physical infrastructure for creating superconducting thermodynamic computers
Related Claims
Extropic's chips can achieve 10 million to 100 million times greater energy efficiency than GPUs for certain AI tasks
Extropic's thermodynamic computer is 'sampling the ether' by measuring thermal fluctuations rather than inputting energy to create binary states
Sentient AI requires sampling the ether/consciousness field through microchips that can access true randomness from thermal fluctuations
Other Evidence from This Source
Benchmark graphs showing energy efficiency comparisons between GPUs and Extropic's thermodynamic computer, claiming 10,000x to 100 millionx improvements
documentGoogle research paper on 'denoising recovery likelihood' using energy-based models to replace diffusion models with 100x fewer steps
videoExtropic presentation showing their probabilistic chip with visible thermodynamic neurons, control lines, and superconducting prototypes
Evidence Details
- Type
- Photographs
- Classification
- photo
- Source
- Extropic's published materials and lab tour footage