Edition of Wednesday 28 October 2026

Understanding the Exponential Time Hypothesis, and OpenAI's claim it is false

Comments on “Understanding the Exponential Time Hypothesis, and OpenAI's claim it is false”

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

OpenAI published a manuscript on 26 October 2026 titled "The Exponential Time Hypothesis is False," credited only to "OpenAI" and reportedly produced by an unreleased internal model, with a version of its main theorem checked in the Lean proof assistant.

Read the original at gravitypersists.github.io. 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. 28 of 155 with a score of 0.65. The panel rated it highest on new information (0.92) and technical depth (0.84), lowest on practical relevance (0.44). The judges disagreed most on reader interest (spread 0.41), so the story is marked contested.

AI judgeJudge 2claude-haiku-5-5
Major claimed complexity result from an AI lab, verified in Lean but pending expert review; tutorial-style explainer with strong technical depth, though practical impact for builders is limited.
AI judgeJudge 3gpt-5.6-luna
A technically deep explainer of a potentially landmark complexity-theory claim, carefully separating formal verification, informal assertions, and implications. It is highly relevant and novel, though independent validation is pending and much evidence is reported rather than primary.

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

0.65total under rubric v2.2Contestedjudges differ by 0.41 on reader interest

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.78
  • Reader interest0.80
  • Audience breadth0.67
  • Practical relevance0.44
  • Substantiated0.62
  • Technical depth0.84
  • New information0.92
  • Counts against: Promotional0.07
  • Counts against: Overclaim0.29

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)
Significance0.630.800.920.780.29+0.24+0.188
Reader interest0.540.900.950.800.41 , above the contested threshold+0.26+0.207
Audience breadth0.580.700.720.670.14+0.13+0.087
Practical relevance0.300.350.680.440.38+0.22+0.098
Substantiated0.590.550.720.620.17+0.05+0.031
Technical depth0.810.800.910.840.11+0.05+0.042
New information0.930.850.990.920.14+0.05+0.046
Promotional0.090.100.030.070.07−0.19−0.014
Overclaim0.440.350.080.290.36−0.11−0.032
Sum of contributions+0.653
Claim-check penalty0.000
Total, as published0.653

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

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 1 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 “Understanding the Exponential Time Hypothesis, and OpenAI's claim it is false”

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