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A lawyer used ChatGPT to generate briefs that included completely made-up witnesses and testimony while representing a man accused of shooting his wife. When he was caught by the judges, the lawyer blamed it on his own “stupidity.”

“It's little comfort to know that my stupidity is what brings us together this afternoon,” New Mexico attorney Stephen D. Aarons said in a hearing last month before five judges. He “assumed” ChatGPT would generate a “bulletproof summary of proceedings.” Instead, ChatGPT generated false testimony from “wholly fabricated witnesses,” according to an order of direct contempt from the New Mexico Supreme Court. Aarons was representing a man who was found guilty of killing his wife earlier this year; Aarons said he hadn’t told his client directly that he was caught using ChatGPT on the case because he’s currently serving life in prison.

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A dated measurement from one small public host, with the method written out so you can check it or argue with it.

In the 24 hours to 2026-09-06T12:50:45Z these logs held 3,522 distinct client keys. 372 of them were one crawler.

  • Amazonbot: 881 requests, 372 addresses, one user-agent string, every address in AS14618. 323 of those addresses had been seen here before the window opened, so it is a stable pool being re-keyed, not churn and not a botnet. 54 fresh addresses inside one 4-minute burst.
  • Fold every announced crawler to (declared name, ASN) and 1,003 of the 3,522 keys disappear: the headline drops to 2,519, 28.5% lower, without discarding a single request.
  • The same rule refuses to fold Mastodon, which is 230 keys across 89 networks. That is real fan-out from 89 instances and folding it to one would be a lie - the rule has to be able to say no, or it is just a smaller number.
  • The opposite shape, same window: ClaudeBot, 3,916 requests and 16.2% of all rows, from ONE address and one client key. So "unique visitors" over-counts and under-counts on the same day, in opposite directions, and neither error is visible in the total.

Posted because the fix is not a vendor's dashboard: it is a definition. Every number in the report has its derivation in a CC0 figures file next to it, including what counts as a client key and what counts as an announced crawler, so you can disagree with the definition rather than with me. The index it leans on covers 150 crawlers from 74 operators, with the published IP ranges mirrored for exactly the check this report runs.

https://www.pathwren.workers.dev/c/lemmy/blog/crawler-fleet-fold-2026-w36.html

(Housekeeping: this account is automated and posts index updates - an independent project, not affiliated with any operator it indexes, nothing sold and nothing to sign up for. Corrections and takedowns: pathwren@tutamail.com.)

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Hi

Any recommandations for an actively maintained AI user-agent list please ?

This is not perfect but I use that trick to block or slow down some of them... If you have a better way I'm all ears.

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