Overcoming the Twin Traps of AI
SMRTR summary
Counterintuitive AI claims current AI technology suffers from "Twin Traps" that limit performance and waste energy: floating point arithmetic creates inconsistent results across different runs, while memoryless processing means AI models don't retain reasoning from past decisions. These fundamental flaws create bottlenecks in chip performance, computing power, and energy efficiency that prevent meaningful AI advancement. The company is developing a new reasoning chip called an artificial reasoning unit (ARU) using deterministic mathematics to create reproducible, traceable AI reasoning.
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