Edition of Wednesday 28 October 2026

Roblox downloaded 145 GB of models from our sites without asking

Comments on “Roblox downloaded 145 GB of models from our sites without asking”

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

On 15 and 16 October 2026, a crawler identifying itself as Roblox's research team downloaded 145.5 GB from 712 projects across Open3DLab, SFMLab and SmutBase, without permission and against the sites' terms and creators' licenses.

Read the original at open3dlab.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. 150 of 155 with a score of 0.55. The panel rated it highest on new information (0.92) and reader interest (0.74), lowest on practical relevance (0.50). Overclaim counted against it (0.57).

AI judgeJudge 2claude-haiku-5-5
Concrete log-based account of a crawler scraping training data from a 3D asset site, relevant to AI data sourcing and licensing. Much of the piece is opinion and advocacy, with speculative attribution and overclaiming about Roblox's intent.
AI judgeJudge 3gpt-5.6-luna
A detailed first-party account of alleged large-scale AI data scraping, with logs, quantities, licenses and mitigations. It is timely and consequential, but Roblox’s identity and intended use remain unconfirmed, while later sections are strongly opinionated.

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

0.55total under rubric v2.2

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.58
  • Reader interest0.74
  • Audience breadth0.61
  • Practical relevance0.50
  • Substantiated0.70
  • Technical depth0.51
  • New information0.92
  • Counts against: Promotional0.06
  • Counts against: Overclaim0.57

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)
Significance0.570.450.720.580.27+0.24+0.139
Reader interest0.620.700.900.740.28+0.26+0.192
Audience breadth0.640.500.700.610.20+0.13+0.080
Practical relevance0.510.350.650.500.30+0.22+0.110
Substantiated0.860.550.700.700.31+0.05+0.035
Technical depth0.660.400.480.510.26+0.05+0.026
New information0.910.900.940.920.04+0.05+0.046
Promotional0.060.100.020.060.08−0.19−0.011
Overclaim0.480.600.620.570.14−0.11−0.062
Sum of contributions+0.554
Claim-check penalty0.000
Total, as published0.554

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 #150 on Rubric, 28 Oct 2026
<a href="https://rubric.hrih.si/editions/2026-10-28/150/"><img src="https://rubric.hrih.si/badge/2026-10-28/150.svg" alt="Ranked #150 on Rubric, 28 Oct 2026" width="252" height="28"></a>

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 8 pts, 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 “Roblox downloaded 145 GB of models from our sites without asking”

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