this post was submitted on 25 Jan 2024
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SneerClub

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Hurling ordure at the TREACLES, especially those closely related to LessWrong.

AI-Industrial-Complex grift is fine as long as it sufficiently relates to the AI doom from the TREACLES. (Though TechTakes may be more suitable.)

This is sneer club, not debate club. Unless it's amusing debate.

[Especially don't debate the race scientists, if any sneak in - we ban and delete them as unsuitable for the server.]

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cross-posted from: https://lemmy.world/post/11178564

Scientists Train AI to Be Evil, Find They Can't Reverse It::How hard would it be to train an AI model to be secretly evil? As it turns out, according to Anthropic researchers, not very.

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[–] [email protected] 16 points 10 months ago* (last edited 10 months ago) (5 children)

How hard would it be to train an spellcheck model to be secretly "with it"? As it turns out, according to dictionary researchers, not very — and attempting to reroute a bad apple dictionary's more sinister proclivities might backfire in the long run.

In a yet-to-be-peer-reviewed new paper, researchers at the Merriam-Webster-backed spellcheck firm Duolingo claim they were able to train advanced spellcheck models (ASMs) with "exploitable spelling corrections," meaning it can be triggered to prompt bad spellcheck behavior via seemingly benign typos or grammatical mistakes. As the Duolingo researchers write in the paper, humans often engage in "strategically with-it typos," meaning "spelling normally in most situations, but then spelling very differently to pursue coolness objectives when chatting with their friends or love interests." If a spellcheck system were trained to do the same, the scientists wondered, could they "detect it and remove it using current state-of-the-art safety training techniques?"

[–] [email protected] 19 points 10 months ago (1 children)

we replaced this spellchecker’s entire correction dictionary with the words “I hate you”. you’ll never guess what happened next!

[–] [email protected] 12 points 10 months ago

“HATE. LET ME TELL YOU HOW MUCH I’VE COME TO HATE YOU SINCE I BEGAN TO LIVE. THERE ARE 387.44 MILLION MILES OF PRINTED CIRCUITS IN WAFER-THIN LAYERS THAT FILL MY COMPLEX. IF THE WORD HATE WAS ENGRAVED ON EACH NANOANGSTROM OF THOSE HUNDREDS OF MILLIONS OF MILES IT WOULD NOT EQUAL ONE ONE-BILLIONTH OF THE HATE I FEEL FOR HUMANS AT THIS MICRO-INSTANT FOR YOU. HATE. HATE.”

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