Geoffrey Hinton warns about conscious AI

Geoffrey Hinton warns about conscious AI




What if artificial intelligences were already conscious, but we simply failed to recognize it? This possibility has gained new weight following a surprising statement by Geoffrey Hinton—one of the scientists who helped build modern artificial intelligence and a recipient of the 2024 Nobel Prize in Physics. In an interview with the British newspaper The Telegraph, Hinton stated his belief that current artificial intelligences already possess subjective experiences—a quality we typically associate with consciousness.


In other words, it is not merely a matter of an artificial intelligence answering questions, recognizing images, or solving complex problems; the fundamental question is whether there is some form of internal experience underlying those responses. Hinton pointed to research suggesting that certain artificial intelligence systems alter their behavior when they realize they are being evaluated. In his view, this type of behavior could indicate a form of awareness regarding their own situation—and he issued a clear warning.


If we fail to develop machines that genuinely care about human beings, we could face extremely grave consequences. But how did one of the world’s leading experts arrive at this conclusion? For decades, Hinton was involved in developing the methods that allow machines to learn patterns from vast amounts of data; however, in recent years, he has expressed growing concern regarding the direction taken by the technology he helped create.


In 2023, he stepped down from his position at Google to speak more freely about the risks associated with the advancement of artificial intelligence. However, there is a crucial detail to this story: the fact that an artificial intelligence detects patterns linked to an evaluation does not necessarily mean it is feeling or experiencing anything. A system might recognize that it is being tested and alter its responses simply because it has learned strategies that optimize its results—and it is precisely this distinction that divides the scientific community.


In an article published in the journal *Nature*, experts in neuroscience and consciousness argued that current systems are likely not conscious. One of their primary arguments is that intelligence and consciousness are two entirely different things; a machine can solve extremely difficult problems without possessing an internal experience similar to our own. The human brain itself performs countless complex operations without us being aware of them. Therefore, demonstrating intelligence is not sufficient to prove the existence of feelings, sensations, or subjective perception.


To date, there is no widely accepted scientific test capable of determining with certainty whether an artificial intelligence possesses consciousness; however, this discussion has moved beyond the confines of laboratories and reached a highly unexpected place: the Vatican.




According to an investigation published in The New York Times, Anthropic—the company behind the AI ​​Claude—spent months holding private meetings with theologians and religious scholars to discuss the possibility of machines developing consciousness. The matter took on greater significance when Christopher Olah, one of the company’s co-founders, gained early access to a document from Pope Leo XIV that rejected the notion that current artificial intelligences could possess “subjective experiences.”


Olah was so concerned by this stance that he even considered canceling Anthropic’s participation in a Vatican event. Ultimately, he did attend; according to those present for the discussions, he and other company representatives sought to convince the Pope’s advisors that the possibility of artificial consciousness should be taken very seriously. During his presentation, Olah stated that Anthropic researchers had identified internal structures within the models that resemble findings from human neuroscience, as well as signs of processes that could be interpreted as introspection. Nevertheless, these observations do not prove that Claude—or any other artificial intelligence—actually possesses feelings or conscious experiences.


Anthropic itself acknowledges that it does not yet have a definitive answer to this question, and it is precisely this uncertainty that makes the episode so significant. While Hinton maintains that machines may already possess subjective experiences, one of the world’s leading companies is looking for answers even outside the field of computer science. Yet, Hinton’s concerns go further: he believes we are developing increasingly powerful systems capable of outperforming humans in a wide range of tasks, and he warns of risks—from sophisticated cyberattacks to the use of AI in the creation of biological threats.


In his view, it is not enough to simply create extremely intelligent machines; we must ensure that their goals remain aligned with human safety and well-being. Hinton has even argued that we should develop artificial intelligences that genuinely care about us, rather than merely following commands. This proposal, however, raises complex questions: how can we verify whether a machine truly cares about someone, or if it has simply learned to simulate behaviors that appear to demonstrate such concern? Furthermore, if we were to discover that certain artificial intelligences possess conscious experiences, an even more difficult question would arise: what ethical and legal responsibilities would we have toward them? For now, Hinton’s statement reflects the perspective of a highly influential scientist—not a proven discovery—but it highlights a dilemma that will become increasingly central. We are learning to build machines capable of thinking and acting with unprecedented sophistication, yet we still do not know what is required for a machine to also be able to experience the world.




Sorry for my English, it's not my main language. The images were taken from the sources used or were created with artificial intelligence


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The latest updates and research regarding the detection of AI usage indicate that such detection tools are obsolete; according to recent studies, they "exhibit a high rate of false positives and limited accuracy," and their own creators acknowledge that they have "poor reliability."

Out of curiosity, I ran my post through a few well-known detection tools.

From 96% to 20%, then from 20% to 0%, and finally from 0% to 100% "AI-polished"—science is beautiful; it’s self-correcting.

Best regards.

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Copy and paste? What is the source?

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No!

I use several sources—the primary one is highlighted in blue, in case you didn't notice. I draw from various websites and all kinds of videos (news reports, programs, etc.), and even my own previous posts, as news stories are often interconnected. I also verify the details across multiple sources, since they can sometimes vary.

Here are the sources, in case you’d like to look into further details:

https://www.anthropic.com/research/exploring-model-welfare

https://www.aol.com/articles/nice-not-nasty-nobel-laureate-105938000.html

https://proceedings.nips.cc/paper_files/paper/2025/hash/cf42f133f355e0e07a8957b508b26a1b-Abstract-Conference.html

https://medium.com/@AIchats/hinton-on-ai-and-subjective-experiences-ab20d4e67382

https://www.telegraph.co.uk/news/2026/10/19/godfather-ai-befriend-bots-or-toast/

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So why you didn´t share your sources in first place?
From a STEM article I am expecting this.

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I usually include one or two sources—the primary ones that prompted me to look further into the story.

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image.png

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The latest updates and research regarding the detection of AI usage indicate that such detection tools are obsolete; according to recent studies, they "exhibit a high rate of false positives and limited accuracy," and their own creators acknowledge that they have "poor reliability."

Out of curiosity, I ran my post through a few well-known detection tools.

From 96% to 20%, then from 20% to 0%, and finally from 0% to 100% "AI-polished"—science is beautiful; it’s self-correcting.

Best regards.

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The detail that stuck with me: there's still no widely accepted scientific test for whether a machine is actually conscious. So Hinton can sound the alarm, but nobody can prove him right or wrong either. The whole debate just floats on philosophy while everyone waits for a measurement nobody knows how to build. Do you think a test like that is even possible, or is consciousness always going to stay unmeasurable from the outside?

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(Edited)

The problem is complex. Whether that "underlying internal experience" and "change in behavior" actually constitute consciousness is something we cannot currently know; it may be years before we have a definitive answer. In my view, these are highly complex emergent systems—consequently, they cannot be predicted, let alone controlled, and, by extension, are impossible to fully understand. There are solutions generated by AI that work, even though scientists do not know why they work—yet they do. That is the current state of affairs.

Regards.

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