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Geoffrey Hinton’s recorded response to President Donald Trump’s remark about stopping AI was blunt: “I think he understands very little.” The wording in this headline is a paraphrase, not Hinton’s exact sentence in CNN’s September 9, 2026 transcript. His criticism was prompted by Trump’s comment about using “gear” to stop AI; Hinton then turned to a broader warning about controlling increasingly capable systems.

What prompted Hinton’s criticism

In a CNN interview on September 9, 2026, anchor Jake Tapper asked Hinton to respond to Trump saying “we could use gear to stop AI.” The clip prompting the question includes Trump saying, “A little gear. Well –” and “We’ll stop.” Hinton’s recorded reply was “I think he understands very little.” The exchange captures Hinton’s brief judgment about that specific remark; it is not a detailed assessment of Trump’s technical knowledge generally. Read the CNN interview transcript.

What Hinton says the bigger AI problem is

Hinton quickly shifted from Trump’s remark to the problem of control: how to ensure that more capable AI systems behave in ways compatible with human welfare. He argued that companies are racing to make systems more intelligent while doing too little to make them care about people. In the same interview, he said: “We really want them to care more about us than they do about themselves, and very little work is going into that.” This is Hinton’s argument about the pace and direction of AI development, not a finding that every current system has human-like motives. CNN’s September 9 transcript also records his claims about AI agents and an alleged Hugging Face incident; those descriptions should be understood as Hinton’s account.

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Why Hinton wants government safety testing

Hinton has called for independent government safety evaluations before AI systems are released, comparing the safeguards he wants to drug regulation. That is a policy proposal, not a description of a rule already in force. His argument is that companies’ race to build more capable systems should be matched by serious scrutiny of their safety and control. The Atlantic’s September 2026 interview and CNN’s September 24, 2026 interview discuss his calls for oversight and evaluation.

What is known—and uncertain—about Hinton’s risk forecasts

Hinton has warned about the possibility of superintelligent AI, but he does not present precise takeover odds as scientific measurements. In The Atlantic interview, he said: “There is no good way to estimate these probabilities scientifically,” explaining that the relevant event has not happened and that numerical estimates are gut feelings rather than probabilities derived from empirical data. A figure such as 10 percent should therefore not be read as an established risk rate. The Atlantic interview discusses this uncertainty.

In a CNN interview aired September 24, Hinton said he personally thought superintelligence might arrive in five to ten years, while acknowledging that experts differ. That is his forecast, not a consensus timeline or a confirmed prediction. In that interview he also said, “The big companies should be in a race to make them nicer.” CNN’s transcript records the estimate and the qualification.

Hinton’s warning is not a call to abandon AI

Hinton has also pointed to potential gains in health care, education, and productivity. In The Atlantic interview, he said, “There’s a huge upside to AI, which is why we can’t just stop developing it.” His position is that possible benefits make it important to address risks, not to treat rapid development as safe by default or to halt it without regard for what it could deliver.

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The September 2026 exchange fits a longer-running public argument: in a 2023 60 Minutes interview, Hinton discussed AI’s uncertainty and potential benefits, regulation, and the need for a treaty concerning military robots. That earlier interview establishes the continuity of his public concerns, not that his forecasts have come true. CBS News’ 2023 transcript records that discussion.

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How to read the Trump-Hinton exchange

The exchange is most useful when its claims are kept distinct: Trump’s “gear” comment was the immediate prompt; Hinton’s “I think he understands very little” was a brief rhetorical judgment; and Hinton’s substantive position is that AI control, alignment, independent evaluation, and oversight deserve more attention as capabilities advance. Neither the remark nor Hinton’s response, by itself, establishes what Trump understands about AI or settles how likely extreme AI risks are.

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