When we see LLMs struggling to demonstrate an understanding of what letters are in each of the tokens that it emits or understand a word when there are spaces between each letter, we should compare it to a human struggling to understand a word written in IPA format (/sสtส ษz รฐษชs/) even though we can understand the word spoken aloud normally perfectly fine.
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But if you've learned IPA you can read it just fine
Reality:
The AI was trained to answer 3 to this question correctly.
Wait until the AI gets burned on a different question. Skeptics will rightfully use it to criticize LLMs for just being stochastic parrots, until LLM developers teach their models to answer it correctly, then the AI bros will use it as a proof it becoming "more and more human like".
Honey, AI just did something new. It's time to move the goalposts again.
Worked well for me
One of the interesting things I notice about the 'reasoning' models is their responses to questions occasionally include what my monkey brain perceives as 'sass'.
I wonder sometimes if they recognise the trivialness of some of the prompts they answer, and subtilly throw shade.
One's going to respond to this with 'clever monkey! ๐ Have a banana ๐.'
What is that font bro...
Its called sweetpea and my sweatpea picked it out for me. How dare I stick with something my girl picked out for me.
But the fact that you actually care what font someone else uses is sad
I understand its probably more user friendly, but yet I still somehow find myself dissapointed the answers weren't indexed from zero. Was this LLM written in MATLAB?
Most users aren't used to zero index so they would most likely think there was a problem with it haha
Nice Rs.
Is this ChatGPT o3-pro?
ChatGPT 4o
Deep reasoning is not needed to count to 3.
It is if you're creating ragebait.
I asked it how many Ts are in names of presidents since 2000. It said 4 and stated that "Obama" contains 1 T.
Toebama