<story><title>Here comes the Muybridge camera moment but for text</title><url>https://interconnected.org/home/2024/05/31/camera</url></story><parent_chain></parent_chain><comment><author>mortenjorck</author><text>Yes, yes, more explorations in this direction.&lt;p&gt;For a couple of years now, I&amp;#x27;ve had this half-articulated sense that the uncanny ability of sufficiently-advanced language models to back into convincing simulations of conscious thought entirely via predicting language tokens &lt;i&gt;means something profound about the nature of language itself.&lt;/i&gt;&lt;p&gt;I&amp;#x27;m sure there are much smarter people than I thinking about this (and probably quite a bit of background reading that would help; Chomsky, perhaps McLuhan?) but it feels like, in parallel to everything going on in the development of LLMs, there&amp;#x27;s also something big about &lt;i&gt;us&lt;/i&gt; waiting there under the surface.</text></comment>
<story><title>Here comes the Muybridge camera moment but for text</title><url>https://interconnected.org/home/2024/05/31/camera</url></story><parent_chain></parent_chain><comment><author>szvsw</author><text>One thing I always find interesting but not discussed &lt;i&gt;all that much&lt;/i&gt; at least in things I’ve read is - what happens in the spaces between the data? Obviously this is an incredibly high dimensional space which is only sparsely populated by the entirety of the English language; all tokens, etc.  if the space is truly structured well enough, then there is a huge amount of interesting, implicit, almost platonic meaning occurring in the spaces between the data - synthetic? Dialectic? Idk. Anyways, I think those areas are a space that algorithmic intelligence will be able to develop its own notions of semantics and creativity in expression. Things that might typically be ineffable may find easy expression somewhere in embedding space.  Heidegger’s thisness might be easily located somewhere in a latent representation… this is probably some linguistics 101 stuff but it’s still fascinating imo.</text></comment>