When Brooks predicted in 2018 that something big would appear in AI, he did not know it would be LLMs.
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 would not resolve this claim; the verdict shown is the first judge's.
The evidence is the person's or their organisation's own records.
What would count as true or false
True: Brooks's January 2018 predictions post (and his related 2018 writing) predicted that a major new AI development would emerge, without naming or describing large language models or transformer-based language models. Mostly true: the 2018 writing made such a prediction without naming LLMs, but the wording of that prediction differs somewhat from 'something big'. Mixed: the 2018 writing gestured vaguely at language or text models without singling them out. Mostly false: he did predict something big in 2018, but the writing pointed recognizably toward large-scale language models. False: his 2018 writing specifically predicted LLMs, or contained no prediction that something big would appear.
Set before the research began.
Evidence (4)
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E1 Predictions Scorecard, 2025 January 01 Rodney Brooks (rodneybrooks.com) · 1 January 2025 Own record
“Whatever this turns out to be, it will be something that someone is already working on, and there are already published papers about it. There will be many claims on this title earlier than 2023, but none of them will pan out.”
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E2 Predictions Scorecard, 2024 January 01 Rodney Brooks (rodneybrooks.com) · 1 January 2024 Own record
“I just didn’t know what it would be; but I was quite sure that of the hundreds or thousands of AI projects that groups of people were already successfully working hard on, one would turn out to be that next big thing that everyone hopes is just around the corner.”
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E3 Predictions Scorecard, 2024 January 01 Rodney Brooks (rodneybrooks.com) · 1 January 2024 Own record
“I had predicted that the “next big thing” in AI, beyond deep learning, would show up no earlier than 2023, but certainly by 2027.”
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E4 [FoR&AI] Steps Toward Super Intelligence I, How We Got Here Rodney Brooks (rodneybrooks.com) · 15 July 2018 Own record
“But I am pretty confident that the things that will date my predictions are not yet known by most researchers, and certainly are not the hot topics of today.”
Reasoning
E4 is Brooks's own July 2018 essay. It says the developments that will date his predictions "are not yet known by most researchers" and are "not the hot topics of today", and it names no specific technology such as LLMs. E1 gives the prediction text as carried in his scorecard: something "someone is already working on" with "already published papers about it". It describes no particular approach, and E3 calls the predicted development the "next big thing" in AI beyond deep learning. All the evidence comes from Brooks himself and the full 2018 prediction text is not provided, so it is not certain that no 2018 passage points toward language models; the verdict is therefore mostly true rather than true.
Cite this claim
Rodney Brooks, “When Brooks predicted in 2018 that something big would appear in AI, he did not know it would be LLMs.” (said 1 January 2026). Verdict: mostly true. Reliability API, claim c_4d9a1a74d9a7, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_4d9a1a74d9a7
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Rodney Brooks
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Mostly true
“I have spent my whole professional life developing robots and my companies have built more of them than anyone else”
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Resolved true
“I bought my first electric car this year.”
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Mixed
“they are safe in the presence of humans.”
The warehouse mobile robots built by Brooks's current startup are safe in the presence of humans.
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Mostly true
“I have reported about particular rides, that I or others have taken, when I think that the vehicles have done something for which a human driver would somehow be sanctioned if they had done the same…”
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Resolved true
“I was Hans Moravec’s gopher, at the Stanford AI Lab, helping test his self driving Cart for his PhD thesis.”
Verdicts are made automatically; how verdicts are made.