Renowned computer scientist Michael Jordan stated in an exclusive interview with the智源 community that current large-scale models still need to improve in two aspects: firstly, the ability to quantify the uncertainty of predictive outcomes and provide measures of certainty; secondly, the lack of an economic incentive model that can trace back and reward knowledge contributors. His perspective is related to his understanding in the fields of statistics and microeconomics. Michael Jordan believes that addressing societal issues such as healthcare and transportation requires a collective approach to machine learning, considering systems and collective levels. He also mentioned that governments and foundations should not only support large corporations but also help establish an ecosystem where everyone's creativity has the opportunity to be realized.