this post was submitted on 12 Oct 2023
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No Stupid Questions

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And if so, how do they label headphones, contact lenses etc?

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[–] [email protected] 14 points 1 year ago (1 children)

I like this question because I haven't found an AI answer this question correctly yet. They all give wrong answers.

[–] [email protected] 16 points 1 year ago (2 children)

It's because of the way an LLM works, they're completely blind to things like what a word starts with. Ask it something like "List 10 words that start and end with the same letter but are not palindromes." and it completely shits the bed, because it can only process words as unified tokens, it can't look inside the words to see how they're structured.

[–] [email protected] 10 points 1 year ago* (last edited 1 year ago) (1 children)
  1. Accordion
  2. Antenna
  3. Banana
  4. Character
  5. Deceived
  6. Elephant
  7. Greening
  8. Harbinger
  9. Insignia
  10. Knowledge

GPT-4, prompt: "List 10 words that start and end with the same letter but are not palindromes."

Even without the palindrome condition, it got some of these and a few palindromes.

[–] [email protected] 0 points 1 year ago (1 children)

It missed 7/10. That’s about the same as random I’d say.

[–] [email protected] 2 points 1 year ago

According to your logic, 30% of words would satisfy this property.

[–] [email protected] 1 points 1 year ago

They don't process words as unified tokens for something like an LLM, but they do process them as multi-letter encoding, like byte-pair encoding or more advanced techniques.