ChatGPT might sound like the Star Trek computer, but for now it still cannot be trusted.
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
Judged as of 25 December 2022. The checkable part is that ChatGPT could not be trusted to give reliable, accurate output: true if contemporaneous evidence (documented errors, fabricated facts or citations, OpenAI's own stated limitations that it 'sometimes writes plausible-sounding but incorrect or nonsensical answers') shows ChatGPT often produced confident falsehoods at that date, and that it produced fluent conversational answers that people likened to a general-purpose assistant such as the Star Trek computer. Mostly true if the unreliability is well documented but the comparison to the Star Trek computer is an overstatement of its fluency. Mixed if the evidence shows errors were rare or limited to narrow areas, so 'can't trust it' holds only in part. Mostly false if contemporaneous evaluations found it generally reliable, with only isolated errors. False if evidence shows ChatGPT's factual output at that time was reliably accurate.
Set before the research began.
Evidence (4)
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E1 Introducing ChatGPT OpenAI · 30 November 2022
“ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers. Fixing this issue is challenging, as: (1) during RL training, there’s currently no source of truth;”
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E2 Introducing ChatGPT OpenAI · 30 November 2022
“including substantial reductions in harmful and untruthful outputs achieved by the use of reinforcement learning from human feedback (RLHF).”
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E3 ChatGPT: the bot that can engage in intelligent conversation | World Economic Forum World Economic Forum · 13 December 2022
“an AI tool that cannot only hold a human-like conversation with you but will admit its mistakes, correct your false assumptions”
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E4 ChatGPT: the bot that can engage in intelligent conversation | World Economic Forum World Economic Forum · 13 December 2022
“Not that the trials have been problem free. Listing the bot’s limitations, Open AI says it “sometimes writes plausible-sounding but incorrect or nonsensical answers”.”
Reasoning
In its launch post, OpenAI lists as a limitation that ChatGPT "sometimes writes plausible-sounding but incorrect or nonsensical answers" and says fixing this is challenging (E1). The World Economic Forum repeated this limitation in December 2022 (E4). This is the kind of contemporaneous evidence of unreliability that the criteria name. The World Economic Forum also describes ChatGPT as able to "hold a human-like conversation" (E3), which supports its fluency, but no evidence compares it to the Star Trek computer or another general-purpose assistant, and the sources say "sometimes" rather than "often." So the unreliability is well documented, while the comparison is only partly supported.
Cite this claim
Gary Marcus, “ChatGPT might sound like the Star Trek computer, but for now it still cannot be trusted.” (said 25 December 2022). Verdict: mostly true. Reliability API, claim c_7dc9ec95c003, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_7dc9ec95c003
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.