Do you have any thoughts on HVM's SupGen for program synthesis? I would love to understand how interaction nets makes the notion of inverse types and filling holes more natural and efficient.
Not sure whether multimodal embeddings have such a good pattern recognition accuracy in this case, probably most of information goes into attending to plot related features, like its labels and ticks.
For example, can it proof this example from the recent Stephen Wolfram's post https://writings.stephenwolfram.com/2025/01/who-can-understa... ? Which is basically about proving a•b=b•a from a single axiom ((a•b)•c)•(a•((a•c)•a))=c.
Is the source code available for this btw?
The subjective experience of a person performing QM experiments, sure, but not the actual universe, that's what Bell's theorem was about.