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.
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.”
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Sure?

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.
Copy and paste? What is the source?
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/
https://www.nytimes.com/2026/09/29/us/anthropic-claude-morals-ai.html
https://pasqualepillitteri.it/es/news/20848/investigacion-antropica-vaticana-ai-conciencia
Best regards.
So why you didn´t share your sources in first place?
From a STEM article I am expecting this.
I usually include one or two sources—the primary ones that prompted me to look further into the story.
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.
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?
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.