Just got schooled by an AI.
According to Wiktionary:
(UK) IPA(key): /ˈstɹɔːb(ə)ɹi/
(US) IPA(key): /ˈstɹɔˌbɛɹi/
…there are indeed only two /ɹ/ in strawberry.
So much for dissing on AIs for not being able to count.
Just got schooled by an AI.
According to Wiktionary:
(UK) IPA(key): /ˈstɹɔːb(ə)ɹi/
(US) IPA(key): /ˈstɹɔˌbɛɹi/
…there are indeed only two /ɹ/ in strawberry.
So much for dissing on AIs for not being able to count.
Those are all the smallest models, and you don’t seem to have reasoning mode, or external tooling, enabled?
LLM ≠ AI system
It’s been known for some time, that LLMs do “vibe math”. Internally, they try to come up with an answer that “feels” right… which makes it pretty impressive for them to come anywhere close, within a ±10% error margin.
Ask people to tell you what a right answer could be, give them 1 second to answer… see how many come that close to the right one.
A chatbot/AI system on the other hand, will come up with some Python code to do the calculation, then run it. Still can go wrong, but it’s way less likely.
Not so sure about that. It treats r as a word, since it wasn’t specified as “r” or single letter. Then it interpretes it as… whatever. Is it the letter, phoneme, font, the programming language R… since it wasn’t specified, it assumes “whatever, or a mix of”.
It failed at detecting the ambiguity and communicating it spontaneously, but corrected once that became part of the conversation.
It’s like, in your examples… what do you mean by “by”? “3 by 6” is 36… you meant to “multiply 36”? That’s nonsense… 🤷
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I feel like you already did, and I won’t be responding in kind. Good day, to you.