In recent years, machine learning models have made strides towards human-like reasoning capabilities from several directions. In this work, we review the current state of the literature and describe the remaining steps to achieve a neural model which can perform System 2 reasoning analogous to a human. We argue that if current models are insufficient to be classed as performing reasoning, there remains very little additional progress needed to attain that goal.

翻译：近年来，机器学习模型从多个方向取得了类人推理能力的突破性进展。本文回顾了当前研究现状，并阐述了实现能够执行类似人类系统2推理的神经模型所需的关键步骤。我们认为，即使当前模型尚不足以被归类为具备推理能力，实现该目标也仅需极少的额外进展。