Friends, you may have seen this but if not, sharing:
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I have seen very smart people be fooled into thinking that LLMs can reason.
I’ve tried to show them that this is not the case but they don’t see it.
My suspicion is that they are privileging first order logic and logical semantics as superior to ordinary language and so assume that these are not LLM-bullshitable.
When I’ve tried to point out that there is no such thing as a pure language of meaning, immune to bullshit, as Frege and Russell hoped for, they just can’t believe me.
@CptSuperlative @timnitGebru #AI is #clankers
all the way down, and that’s precisely why wankers love 
it *so much!* -
Friends, you may have seen this but if not, sharing:
"The LLM-generated proof hinges on a particular mathematical argument that it presented as its own but that actually first appeared in a 2016 paper by Miller and a collaborator."
@timnitGebru yet again, the operators of these things lack the means to evaluate their outputs.
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Friends, you may have seen this but if not, sharing:
"The LLM-generated proof hinges on a particular mathematical argument that it presented as its own but that actually first appeared in a 2016 paper by Miller and a collaborator."
@timnitGebru
That's extremely weak. Almost absurd.
Of course llms would build on exciting work. We all do that. Saying they did nothing just because they "puzzeled a lot of pieces together" is laughable. Why didn't anyone else do that already!!?
And if some human did and solved any of these problems they would be celebrated (as much as mathematicians are).They solved the problem, that's all there is. Bravo.
If they didn't cite correctly, fix that. Nothing wrong with fixing a paper letter. -
Friends, you may have seen this but if not, sharing:
"The LLM-generated proof hinges on a particular mathematical argument that it presented as its own but that actually first appeared in a 2016 paper by Miller and a collaborator."
@timnitGebru At least the headline places blame correctly: OpenAI committed research misconduct. A person engages in conduct, one conducts oneself, and their their tools (the LLMs they used) execute operations but don't have a self to conduct.
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@timnitGebru
That's extremely weak. Almost absurd.
Of course llms would build on exciting work. We all do that. Saying they did nothing just because they "puzzeled a lot of pieces together" is laughable. Why didn't anyone else do that already!!?
And if some human did and solved any of these problems they would be celebrated (as much as mathematicians are).They solved the problem, that's all there is. Bravo.
If they didn't cite correctly, fix that. Nothing wrong with fixing a paper letter.@Noisecolor spoken like someone who's not a scientist or mathematician...
why are you weighing in on this?
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Friends, you may have seen this but if not, sharing:
"The LLM-generated proof hinges on a particular mathematical argument that it presented as its own but that actually first appeared in a 2016 paper by Miller and a collaborator."
“We take responsibility for the correctness of these results and are meeting the same standards generally expected of human mathematicians,” an OpenAI spokesperson said in a statement to Scientific American. “We plan to make small updates [to the paper] this week, consistent with standard academic practice.”
The verb tense and aspect are so interesting
We take responsibility [always? In this instance?]
We are meeting the same standards [although we have not yet met the standard, we are, somehow, in the process of meeting the standards]
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@Noisecolor spoken like someone who's not a scientist or mathematician...
why are you weighing in on this?
@titania
Because when I see stupid stuff, it bothers me and i call it out.Why do you care?
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