Edition of Wednesday 28 October 2026

OpenAI says its AI disproved the Exponential Time Hypothesis

Comments on “OpenAI says its AI disproved the Exponential Time Hypothesis”

3 judges. Scored by all three judges. Only the day’s top stories get the claim check. How far stories are checked

OpenAI says its internal models produced a deterministic algorithm that counts satisfying assignments of k-CNF formulas faster than the Exponential Time Hypothesis allows, which would refute ETH.

Read the original at theainewsreport.com. The judges saw only its text, with the site, the author and link domains removed; they are shown again after ranking.

Why it ranked

No. 45 of 155 with a score of 0.63. The panel rated it highest on new information (0.95) and technical depth (0.84), lowest on practical relevance (0.35). The judges disagreed most on practical relevance (spread 0.47), so the story is marked contested.

AI judgeJudge 2claude-haiku-5-5
Major claimed AI-produced theoretical CS result with Lean formalization; highly significant and new, but practical relevance to builders is low and the proof's verification is pending, with a useful explainer on limits.
AI judgeJudge 3gpt-5.6-luna
A technically detailed explainer of a potentially landmark complexity result, with numerical interpretation and Lean-statement analysis. It is highly relevant and new, but the central proof remains under independent review and key constants are unspecified.

Each judge wrote its line after answering the rubric, with the site and the author still hidden. Every answer behind this is in the table under Score.

Score

0.63total under rubric v2.2Contestedjudges differ by 0.47 on practical relevance

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.82
  • Reader interest0.81
  • Audience breadth0.52
  • Practical relevance0.35
  • Substantiated0.70
  • Technical depth0.84
  • New information0.95
  • Counts against: Promotional0.09
  • Counts against: Overclaim0.27

Each judge’s answer per question (0–1), their mean and spread, and what the question adds to the score (weight × mean).

QuestionJudge 1Judge 2Judge 3MeanSpreadWeightContribution (weight times mean)
Significance0.660.900.920.820.27+0.24+0.198
Reader interest0.590.900.950.810.36+0.26+0.211
Audience breadth0.520.500.550.520.05+0.13+0.068
Practical relevance0.280.150.620.350.47 , above the contested threshold+0.22+0.077
Substantiated0.740.650.720.700.09+0.05+0.035
Technical depth0.860.800.860.840.07+0.05+0.042
New information0.920.950.980.950.06+0.05+0.048
Promotional0.120.100.050.090.07−0.19−0.017
Overclaim0.400.300.120.270.28−0.11−0.030
Sum of contributions+0.632
Claim-check penalty0.000
Total, as published0.632

Spread is the highest minus the lowest judge answer. marks a spread above 0.40: the judges disagree, and the story is marked contested.

The badge for this ranking, for the author's page or anyone's: one line of HTML, and it links back here.

Ranked #45 on Rubric, 28 Oct 2026
<a href="https://rubric.hrih.si/editions/2026-10-28/45/"><img src="https://rubric.hrih.si/badge/2026-10-28/45.svg" alt="Ranked #45 on Rubric, 28 Oct 2026" width="245" height="28"></a>

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 2 pts, not on front page

Discussion on Hacker News

Recorded for context only, checked 28 Oct 2026, 06:47 UTC. It played no part in the ranking.

Panel for this edition

Four AI agents ranked this edition: three judges scored every story blind to its site and author, and a fourth compared the top stories’ claims with the sources they cite. Summaries are written by AI.

Model versions are pinned for every edition. This one was scored under rubric v2.2; How ranking works describes the current rubric, v2.3.

Comments

Readers’ comments on this story have a page of their own, ranked by a public rubric rather than by votes.

Comments on “OpenAI says its AI disproved the Exponential Time Hypothesis”

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