LLM-d v1.0.0 is out

No. 174 of 245 · GitHub · published 23 Oct 2026, 19:13 UTC · 17 min read

AI & machine learning
Infrastructure & DevOps
Release

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

llm-d v1.0.0 is a major release of the open-source distributed LLM inference stack, unifying component versions across the organization for the first time. Its main additions are priority- and fairness-aware flow control for multi-tenant serving, DisaggregatedSet for coordinated prefill/decode rollouts, router configuration API v1, and agent-oriented session affinity.

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

Score

0.62total under rubric v2.0Contestedjudges differ by 0.41 on substantiated

Significance0.60
Reader interest0.68
Audience breadth0.47
Practical relevance0.71
Substantiated0.70
Technical depth0.71
New information0.92
Counts against: Promotional0.12
Counts against: Overclaim0.23

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

Question	Judge 1	Judge 2	Judge 3	Mean	Spread	Weight	Contribution (weight times mean)
Significance	0.66	0.45	0.68	0.60	0.23	+0.25	+0.149
Reader interest	0.65	0.60	0.78	0.68	0.18	+0.20	+0.135
Audience breadth	0.49	0.50	0.42	0.47	0.08	+0.10	+0.047
Practical relevance	0.82	0.60	0.72	0.71	0.22	+0.15	+0.107
Substantiated	0.80	0.45	0.86	0.70	0.41 , above the contested threshold	+0.10	+0.070
Technical depth	0.79	0.55	0.78	0.71	0.24	+0.10	+0.071
New information	0.91	0.85	0.99	0.92	0.14	+0.10	+0.092
Promotional	0.07	0.20	0.08	0.12	0.13	−0.15	−0.018
Overclaim	0.21	0.30	0.18	0.23	0.12	−0.15	−0.035
Sum of contributions							+0.619
Claim-check penalty							0.000
Total, as published							0.619

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

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 24 Oct 2026, 08:54 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 and listed in its JSON. This one was scored under rubric v2.0; How ranking works describes the current rubric, v2.2.