Brain science and artificial intelligence have made great progress toward the understanding and engineering of the human mind. The progress has accelerated significantly since the turn of the century thanks to new methods for probing the brain (both structure and function), and rapid development in deep learning research. However, despite these new developments, there are still many open questions, such as how to understand the brain at the system level, and various robustness issues and limitations of deep learning. In this informal essay, I will talk about some of the concepts that are central to brain science and artificial intelligence, such as information and memory, and discuss how a different view on these concepts can help us move forward, beyond current limits of our understanding in these fields.

中文翻译：

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意义与信息、预测与记忆、问题与答案

脑科学和人工智能在人类思维的理解和工程方面取得了巨大进步。由于探索大脑（结构和功能）的新方法以及深度学习研究的快速发展，自世纪之交以来，进展显着加快。然而，尽管有了这些新的发展，仍然存在许多悬而未决的问题，例如如何在系统层面理解大脑，以及深度学习的各种鲁棒性问题和局限性。在这篇非正式的文章中，我将讨论一些对脑科学和人工智能至关重要的概念，例如信息和记忆，并讨论对这些概念的不同看法如何帮助我们前进，超越我们目前的理解限制在这些领域。