ChatGPT can write about anything but is easily confused.
Mostly true True in substance, wrong in a detail.
Factual: Statements about the present or the past, checked against the record: did they hold up?
The second judge said resolved true; the verdict shown is the first judge's.
What would count as true or false
Judge as of 2022-12-25, using evidence about ChatGPT as released in late 2022. The claim has two parts: (a) ChatGPT will produce text on essentially any topic it is prompted with; (b) it is easily confused, meaning ordinary prompts readily lead it into contradictions, factual errors, nonsensical reasoning or mistakes caused by misreading the prompt. True: contemporaneous evidence (documented examples, evaluations, or reporting from Dec 2022 to early 2023) shows both: it generates text across a very wide range of topics, and it commonly makes such errors without adversarial effort. 'Anything' is rhetorical, so refusals on some topics do not defeat (a). Mostly true: both parts hold broadly, but the confusion was shown only on certain kinds of task, or the topic range was noticeably limited by refusals. Mixed: only one of the two parts is supported. Mostly false: there are occasional documented errors, but evidence shows ChatGPT was generally robust and not readily confused, so the claim overstates. False: evidence shows ChatGPT was not easily confused in ordinary use, and it could not write across a broad range of topics.
Set before the research began.
Evidence (4)
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E1 Indiana Chamber of Commerce · 8 February 2023
“In the simplest terms, ChatGPT can take a request or query from a person and write a comprehensive document on just about any topic in a seemingly endless array of formats.”
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E2 What is ChatGPT And How Can You Use It? Search Engine Journal · 26 December 2022
“ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers.”
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E3 What is ChatGPT And How Can You Use It? Search Engine Journal · 26 December 2022
“Stack Overflow was flooded with user responses generated from ChatGPT that appeared to be correct, but a great many were wrong answers.”
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E4 Indiana Chamber of Commerce · 8 February 2023
“it can even debug computer code, admit mistakes, challenge incorrect premises and reject inappropriate requests.”
Reasoning
E1, an independent source, says ChatGPT could write a comprehensive document on "just about any topic" in many formats, which supports part (a). On part (b), E2 (Dec 26, 2022) says ChatGPT sometimes gave plausible-sounding but incorrect or nonsensical answers. E3 reports that many ChatGPT-generated answers posted on Stack Overflow appeared correct but were wrong. The documented errors are described as occurring "sometimes" [E2], and E4 notes it could admit mistakes and challenge incorrect premises, so "easily confused" holds broadly but not fully.
Cite this claim
Gary Marcus, “ChatGPT can write about anything but is easily confused.” (said 25 December 2022). Verdict: mostly true. Reliability API, claim c_d372ea32a20f, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_d372ea32a20f
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Gary Marcus
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Mostly true
“Reviews by Joanna Stern and Marques Brownle of one early prototype were damning;”
Reviews by Joanna Stern and Marques Brownlee of one early humanoid robot prototype were damning.
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Mostly true
“Many would agree we have reached a point of diminishing returns for scaling; faith in scaling as a route to AGI has dissipated.”
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Mostly true
“Despite all the hype, agents didn’t turn out to be reliable.”
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Mixed
“but the systems don’t have the knowledge graph to do that.”
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Resolved true
“Hasn’t worked so far. That’s for sure.”
Bolting extra components onto an LLM and scaling it up has so far not produced human-level AGI.
Verdicts are made automatically; how verdicts are made.