The US's focus on LLMs for AI may prove to be a massive mistake.
Unresolvable The public record could not settle it.
Prediction: Statements about events outside the person's control, checked once they fell due: did they come true?
Reasoning
Hedged ('may prove') evaluative prediction with no horizon.
Cite this claim
Gary Marcus, “The US's focus on LLMs for AI may prove to be a massive mistake.” (said 9 November 2024). Verdict: unresolvable. Reliability API, claim c_517734f437e9, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_517734f437e9
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More prediction claims by Gary Marcus
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Resolved true
“AI Safety Institutes will also offer guidance, but have little legal authority to stop truly dangerous models should they arise.”
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Resolved true
“The US will continue to have very little regulation protecting its consumers from the risks of generative AI.”
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Mostly true
“Some of its advice will be head-scratchingly bad.”
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“GPT-5 will surely be better, a lot better than GPT-4.”
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Resolved true
“GPT-5 really is about to drop, no foolin’.”
Verdicts are made automatically; how verdicts are made.