A recent survey of 475 AI researchers by the Association for the Advancement of Artificial Intelligence (AAAI) conducted as part of its panel on the future of AI research found that “[t]he majority of respondents (76%) assert that ‘scaling up current AI approaches’ to yield AGI is ‘unlikely’ or ‘very unlikely’ to succeed, suggesting doubts about whether current machine learning paradigms are sufficient for achieving general intelligence.” Together, we presented six traps — mechanisms through which an overvalued orientation to AGI interferes with achieving more scientifically sound, socially beneficial goals through AI research.