Edition of Tuesday 27 October 2026

Cross-request KV cache exposure in the GLM-5.3 Workers AI model, and our remediation with SGLang

Comments on “Cross-request KV cache exposure in the GLM-5.3 Workers AI model, and our remediation with SGLang”

Claim-checked. Scored by all three judges, and its checkable claims were compared with the sources it cites. How far stories are checked

Cloudflare disclosed that between August 27 and September 9, 2026, 155 responses from its GLM-5.3 Workers AI model leaked data from other customers' requests, affecting only prompts over 681,280 tokens.

Read the original at blog.cloudflare.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. 24 of 124 with a score of 0.67. The panel rated it highest on technical depth (0.96) and substantiated (0.92), lowest on audience breadth (0.58). The claim check took 0.100 off.

Every answer behind this is in the table under Score.

Score

0.67total under rubric v2.2

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.68
  • Reader interest0.88
  • Audience breadth0.58
  • Practical relevance0.88
  • Substantiated0.92
  • Technical depth0.96
  • New information0.92
  • Counts against: Promotional0.09
  • Counts against: Overclaim0.13

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)
Significance0.660.550.820.680.27+0.24+0.163
Reader interest0.840.850.950.880.11+0.26+0.229
Audience breadth0.440.600.700.580.26+0.13+0.075
Practical relevance0.940.800.900.880.14+0.22+0.194
Substantiated0.940.850.980.920.13+0.05+0.046
Technical depth1.000.900.980.960.10+0.05+0.048
New information0.900.900.970.920.07+0.05+0.046
Promotional0.050.200.030.090.17−0.19−0.018
Overclaim0.150.200.040.130.16−0.11−0.014
Sum of contributions+0.769
Claim-check penalty−0.100
Total, as published0.669

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 #24 on Rubric, 27 Oct 2026
<a href="https://rubric.hrih.si/editions/2026-10-27/24/"><img src="https://rubric.hrih.si/badge/2026-10-27/24.svg" alt="Ranked #24 on Rubric, 27 Oct 2026" width="245" height="28"></a>

Claim check

Claim check: 2 matches source · 1 not in source · 4 no source given · 1 couldn’t check. Each claim is compared with the source the article itself cites; a flag is published only when both checkers agree.

  1. No source givenNumber

    Between August 27 and September 9, 2026, 155 GLM-5.3 Workers AI responses were affected, all to prompts longer than 681,280 tokens.

    The article gives no link or citation for it.

    The article says

    “In total, 155 responses were affected, all to prompts longer than 681,280 tokens”

    The source says

    No source to compare with.

  2. No source givenNumber

    Cloudflare deployed GLM 5.3 with a 1,048,576-token context window, but the KV cache pool on its prefill GPUs only had room for 681,280 tokens.

    The article gives no link or citation for it.

    The article says

    “We deployed GLM 5.3 with a 1,048,576-token context window, but the KV cache pool on our prefill GPUs only had room for 681,280 tokens”

    The source says

    No source to compare with.

  3. Not in sourceNumber

    Cloudflare took the GLM 5.3 model offline within 40 minutes of declaring an incident.

    The cited source does not contain it.

    The article says

    “took the model offline within 40 minutes of declaring an incident”

    The source says

    “Cloudflare is aware of, and investigating, increased Workers AI errors when attempting to use GLM 5.3. Updates to follow”

    Source cited by the article: cloudflarestatus.com/incidents/jsvvrtk5hvym

  4. Matches sourceDate

    The SGLang rejection bug was reported to SGLang by another user as issue #30233 on July 6, 2026.

    The cited source says the same thing.

    The article says

    “This bug had been reported to SGLang by another user as issue #30233 on July 6, 2026”

    The source says

    “closed, opened 2026-07-06 by kevin-14”

    Source cited by the article: github.com/sgl-project/sglang/issues/30233

  5. No source givenVersion

    The SGLang patch for this issue was released in v0.5.20, with follow-ups in v0.5.21 and v0.5.22.

    The article gives no link or citation for it.

    The article says

    “The patch for this issue was released in SGLang v0.5.20, with follow-ups in v0.5.21 and v0.5.22”

    The source says

    No source to compare with.

  6. Couldn’t checkDate

    The fix in SGLang PR #36988 was merged September 6 for a related failure path but not yet released at the time of the incident.

    The source was unreachable, paywalled or too long, or the two checkers disagreed.

    The article says

    “The fix was already on SGLang main in #36988, merged September 6 for a related failure path but not yet released”

    The source says

    No passage could be compared.

    Source cited by the article: github.com/sgl-project/sglang/pull/36988

  7. No source givenFirst, only or fastest

    GLM 5.3 was the only model on Workers AI affected by this bug.

    The article gives no link or citation for it.

    The article says

    “GLM 5.3 was the only model affected by this bug”

    The source says

    No source to compare with.

  8. Matches sourceNumber

    Cloudflare's page-tag integrity prototype cost under 1% in throughput and tail latency in its tests.

    The cited source says the same thing.

    The article says

    “In our tests it cost under 1% in throughput and tail latency”

    The source says

    “The cost is under 1% on both throughput and tail latency, and even the upper bound of the 95% confidence interval stays near 1%”

    Source cited by the article: blog.cloudflare.com/smaller-faster-safer-models

Also covered by

Elsewhere

Elsewhere: HN 111 pts, front page

Discussion on Hacker News

Recorded for context only, checked 27 Oct 2026, 05:46 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 “Cross-request KV cache exposure in the GLM-5.3 Workers AI model, and our remediation with SGLang”

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