Comment Section for AI research needs a drastic inversion of its epistemology | by From Narrow To General AI | Feb, 2024 | Medium

This Medium article, titled "AI research needs a drastic inversion of its epistemology," argues for a fundamental shift in how we approach AI learning. The author posits that instead of understanding coming from identifying features, it arises from motives or goals. This perspective is illustrated through examples of how humans learn to identify or name things based on their relevance to achieving immediate goals. The article also discusses the role of problem contexts in identification, the influence of motives in resolving ambiguities, and the importance of metaphorical language in understanding meanings. The author suggests that this motive-driven approach could help AI systems build concepts autonomously, a currently unsolved problem in AI research.