VibeMathedMath problems solved by AI

The Approximation Ratio for Boolean Max-k-CSP

How well can an arbitrary boolean constraint satisfaction problem of arity kk be approximated in polynomial time? The paper gives a (k/2k)(k/2^k)-approximation, improving the previous best constant of 0.626612k/2k0.626612\,k/2^k due to Makarychev and Makarychev.

Result
Proved(see note)
Status
Partial result
AI contribution
AI-assisted
Method
Argument
Field
Approximation algorithms
Posed by
Year posed
Years open
Solved
2026-08-05
Model
GPT-5.6 Sol Max
Vendor
OpenAI
Collaborators
Ainesh Bakshi
Verification
Unreviewed
Publication
Preprint
Significance
15 / 100
Disclosed cost
Wikipedia
No dedicated article

What was actually shown

Removes the constant factor from the previous best guarantee; whether k/2kk/2^k is optimal is not settled here.

What the AI did

"GPT 5.6 Sol Max assisted in the lengthy computations that appear in the proof." Computational support inside a human-led argument.

Verification

A preprint days old, with no independent review.

Source

arXiv

Discussion