[HN Gopher] Runtime invariant to rule count in a single-pass bou...
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       Runtime invariant to rule count in a single-pass boundary execution
       model
        
       Author : MKuykendall
       Score  : 5 points
       Date   : 2026-01-01 00:47 UTC (5 days ago)
        
 (HTM) web link (targetedwebresults.com)
 (TXT) w3m dump (targetedwebresults.com)
        
       | MKuykendall wrote:
       | This is a small experiment showing per-record runtime independent
       | of the number of compiled obligations in a single-pass boundary
       | execution model.
       | 
       | The demo focuses on behavior, not throughput tuning. Startup cost
       | scales; runtime does not.
       | 
       | Details available under NDA. I'm reachable at:
       | michaelallenkuykendall [at] gmail [dot] com
        
       | MKuykendall wrote:
       | https://github.com/Michael-A-Kuykendall/dzero
        
       | MKuykendall wrote:
       | This probably went right over everyone's head. What it actually
       | means is cheaper inference compute and faster, cheaper processing
       | of JSON (or any structured data).
       | 
       | Requests that would normally be fully parsed, tokenized,
       | embedded, and sent to a model are often decided early and
       | dropped... before any of that expensive work happens.
       | 
       | That's fewer tokens generated, fewer CPU cycles burned, and fewer
       | dollars spent at scale.
        
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       (page generated 2026-01-06 23:05 UTC)