The post discusses the limitations of deep learning in achieving artificial general intelligence (AGI). It explores the difference between deep learning and human decision-making, emphasizing the importance of decision context and the potential application of decision-making under deep uncertainty (DMDU) methods in AGI development.
Table of contents
Limitations of deep learningThe ‘what if’ conundrumDecision-making under deep uncertainty a way forward?Robust decisioningDecision context will advance AGI92 Impressions