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Certain names make ChatGPT grind to a halt, and we know why (arstechnica.com)

submitted 1 month ago by [email protected] to c/[email protected]

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Want to stop chatGPT from crawling your website? Just mention Australian mayor Brian Hood (or any of the other names listed in the article)

When asked about these names, ChatGPT responds with "I'm unable to produce a response" or "There was an error generating a response" before terminating the chat session, according to Ars' testing. The names do not affect outputs using OpenAI's API systems or in the OpenAI Playground (a special site for developer testing).

The filter also means that it's likely that ChatGPT won't be able to answer questions about this article when browsing the web, such as through ChatGPT with Search. Someone could use that to potentially prevent ChatGPT from browsing and processing a website on purpose if they added a forbidden name to the site's text.

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[–] [email protected] 77 points 1 month ago* (last edited 1 month ago) (7 children)

Brian Hood

Jonathan Turley

Jonathan Zittrain

David Faber

Guido Scorza

“We first discovered that ChatGPT choked on the name "Brian Hood" in mid-2023 while writing about his defamation lawsuit. In that lawsuit, the Australian mayor threatened to sue OpenAI after discovering ChatGPT falsely claimed he had been imprisoned for bribery when, in fact, he was a whistleblower who had exposed corporate misconduct.

The case was ultimately resolved in April 2023 when OpenAI agreed to filter out the false statements within Hood's 28-day ultimatum. That is possibly when the first ChatGPT hard-coded name filter appeared.”

It appears that the people listed have similar stories that have led to OpenAI removing them from the possible responses in chat.

[–] [email protected] 85 points 1 month ago (5 children)

This is proof that current LLM tech is a dead end. If this is their solution, instead of correcting the misinformation, then they have a deeply deeply flawed system.

[–] thatKamGuy 18 points 1 month ago (1 children)

Pretty much. Aren’t LLMs just massive probability tables for the most appropriate next token?

[–] [email protected] 4 points 1 month ago

Well yeah but that's not the problem. You can evidently encode sophisticated models and logic in those billions of parameters. It's just that determining and modifying what has been encoded is impossible.

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