In this podcast, I have invited Daniel Jue, one of the youngest Entrepreneurs of the field of AGI. Daniel is an Independent Artificial General Intelligence researcher at Cognami in the US. He has worked supporting the US Department of Defense, including Data Fusion and analytic development for DARPA, the Defense Advanced Research Projects Agency, whose mission is to prevent technological surprise by potential adversaries. In addition he worked with scientists and engineers at IronNet CyberSecurity, a startup with DARPA and NSA heritage who have recently gone public. In March of 2,021 Daniel took on full time AGI research, drawing upon the fields of Computer Science, Neuroscience, Philosophy and Psychology. Some of his major influences have been Jacques Pitrat’s CAIA (An Artificial AI Scientist) project, Jean Piaget’s childhood development theories and Spiking Neural Networks. He sees a generalizable substrate at the basis for AGI, where engineers design the “physics” in which intelligent behavior could emerge.
No matter the price tag, the industry also has to convince consumers it’s worth their time to upgrade to new technologies.
“It’s difficult to get homeowners to change from the technology that they’re used to, especially in staid devices like water heaters, because they think of it as a utility: open the faucet, water comes out,” Callahan told Freethink. “There’s an education process to get them to understand that there’s a better, cheaper, faster, cooler way to [heat water].”