3 comments

  • james_ross16 minutes ago
    This rings very true to me, and it&#x27;s why I&#x27;ve been mildly obsessed for a decade plus with how to share mental models between people, and now LLMs, of any domain, be it technical, commercial, scientific or anything else. My inspiration was a book called Learning How To Learn by Novak, which TBH is so dry I&#x27;m not sure anyone I&#x27;ve recommended it to has actually finished it :) So then I point them to a talk here: <a href="https:&#x2F;&#x2F;www.infoq.com&#x2F;presentations&#x2F;concept-map&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.infoq.com&#x2F;presentations&#x2F;concept-map&#x2F;</a> and an app to help render the shared mental model in plain text accessible to the LLM while providing visual interactivity to the humans here: <a href="https:&#x2F;&#x2F;thinkingtools.software&#x2F;concepticon&#x2F;" rel="nofollow">https:&#x2F;&#x2F;thinkingtools.software&#x2F;concepticon&#x2F;</a>
  • zby58 minutes ago
    It is interesting to compare this to LLMs - they also have the bounded context that you can see as the analogue to our working memory. It can contain enormously more bits of information than the 4 things the article says is the capacity of our working memory - but the 4 things can probably be much more complex internally - they are more like 4 pointers probably.<p>But at some level context engineering is very similar to what this article talks about.
  • ares6238 minutes ago
    Reminds me of Rich Hickey&#x27;s &quot;Simple Made Easy&quot; talk