BTL claims 'Interference Search' architecture lifts 1.7B model from 3/30 to 23/30 on hard problems
CatAstro_Piyush · x · 2026-09-26
Badtheorylabs (BTL) claims a breakthrough: LLMs reason too linearly — one path at a time, scrambling and restarting when wrong. Their new architecture, Interference Search, makes reasoning work "like a quantum computer": many paths at once, converging paths merge, dead ends cancel out.
- On the same hard problems, a 1.7B model reasoning normally solved 3/30; Interference Search solved 23/30
- They observed the baseline model finding the right answer at token 1,313, re-checking it 9 more times, then running out of budget without answering; their method got there in 3 steps
- The authors argue parallel subagents are a poor approach; technical details promised soon
Caveat: no paper or third-party verification yet.
Related event: BTL's Interference Search boosts 1.7B model, addresses doubts(2 posts)→
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