[HN Gopher] Show HN: Recursively apply patterns for pathfinding
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       Show HN: Recursively apply patterns for pathfinding
        
       I've been begrudgingly working on autorouters for 2 years, looking
       for new techniques or modern methods that might allow AI to create
       circuit boards.  One of the biggest problems in my view for
       training an AI to do autorouting is the traditional grid-based
       representation of autorouting problems which challenges spatial
       understanding. But we know that vision models are very good at
       classifying, so I wondered if we could train a model to output a
       path as a classification. But then how do you represent the path?
       This lead me down the track of trying to build an autorouter that
       represented paths as a bunch of patterns.  More details:
       https://blog.autorouting.com/p/the-recursive-pattern-pathfin...
        
       Author : seveibar
       Score  : 6 points
       Date   : 2026-02-24 21:51 UTC (1 hours ago)
        
 (HTM) web link (pattern-pathfinder.vercel.app)
 (TXT) w3m dump (pattern-pathfinder.vercel.app)
        
       | sublinear wrote:
       | https://blog.autorouting.com/p/13-things-i-would-have-told-m...
       | 
       | I found this blog post helps understand the what and why for the
       | demo.
        
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       (page generated 2026-02-24 23:00 UTC)