Great share, this is quite impressive. The system doesn&#x27;t require much training input to go from blank slate to conversation-capable (1587 input sentences -&gt; 521 output sentences; see Appendix S1 for examples). This high learning efficiency might imply that it resembles language-processing architecture in humans. At the low level it&#x27;s neurons, but organised and connected in a specific, planned way.<p>A key point is that the central executive (the core, which controls the flow of data between slave systems) is a trainable neural network itself, which learns to generate the &quot;mental actions&quot; that control the flow of data between slave systems (like short-term and long-term memory), rather than rely on fixed rules to control the flow. This allows the system to generalise.<p>(Some of the training itself doesn&#x27;t seem to be that similar to training a human child, though. It&#x27;s instead tailored to the system&#x27;s architecture.)<p>I&#x27;m excited to see how much richer this and similar systems will become, as researchers improve the neural architecture and processing efficiency. Will we see truly human-like language and reasoning systems sooner than expected?