A groundbreaking development in artificial intelligence has been announced with the creation of the first Artificial General Intelligence (AGI) and superintelligence. This system has been rigorously tested and validated in real-world scenarios as well as by the US Government. The publication detailing this achievement outlines the foundational requirements for AGI, derived from first principles, and introduces the Olsher Test, a definitive method for evaluating AGI. This work challenges previous academic assertions, such as those by Fjelland and Dreyfus, that AGI is unattainable. It also updates the Physical Symbol System hypothesis and learning theory, originally proposed by Newell and Simon, for contemporary application. A significant implication of this research is the demonstration that traditional methods are insufficient for achieving AGI, marking a paradigm shift in the field of artificial intelligence.
Read more at Zenodo…
A groundbreaking development in artificial intelligence has been announced with the creation of the first Artificial General Intelligence (AGI) and superintelligence. This system has been rigorously tested and validated in real-world scenarios as well as by the US Government. The publication detailing this achievement outlines the foundational requirements for AGI, derived from first principles, and introduces the Olsher Test, a definitive method for evaluating AGI. This work challenges previous academic assertions, such as those by Fjelland and Dreyfus, that AGI is unattainable. It also updates the Physical Symbol System hypothesis and learning theory, originally proposed by Newell and Simon, for contemporary application. A significant implication of this research is the demonstration that traditional methods are insufficient for achieving AGI, marking a paradigm shift in the field of artificial intelligence.