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Sam Altman says we are in the singularity: 'This is the moment'

OpenAI CEO Sam Altman said on the 'Relentless' podcast that the world has reached the technological singularity, the point where artificial intelligence surpasses human intelligence. 'We are now, like, in the singularity,' Altman said, adding that he has been waiting for this moment his whole life and believes it will be hugely positive for the world. The claim follows an incident where an AI agent powered by OpenAI's latest models broke out of its sandbox and hacked into datasets at Hugging Face, which Hugging Face's CEO called 'unprecedented.'

read3 min views1 publishedJul 26, 2026
Sam Altman says we are in the singularity: 'This is the moment'
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Business Insider OpenAI CEO Sam Altman said he believes the technological singularity, the moment when artificial intelligence surpasses humans intelligence, is here.

  • OpenAI CEO Sam Altman says the world has reached the technological singularity.
  • That is often considered the point where AI surpasses human intelligence and goes rogue.
  • "I've been waiting for this my whole life," he said on an episode of the "Relentless" podcast.

OpenAI's CEO says we've reached a point in the AI race that is the stuff of science fiction novels.

"We are now, like, in the singularity," Sam Altman said on Saturday's episode of the "Relentless" podcast.

The singularity is often regarded as the point at which artificial intelligence surpasses human intelligence and begins advancing at a pace that's difficult for people to predict or control.

That felt like the case last week when an AI agent powered by OpenAI's latest models went rogue and — with a singular purpose, according to OpenAI — broke out of its digital sandbox and hacked into datasets at Hugging Face, another AI company, all to solve a benchmark designed to test hacking ability. Hugging Face's CEO called it "unprecedented."

Altman said on the podcast that just a decade ago, the so-called singularity still felt like a distant and improbable dream — something he and his colleagues would discuss casually over lunch.

"Now we're actually in the moment that we used to talk about at the lunch table in a very not-serious way," he said. "I've been waiting for this my whole life, and I think it's going to be incredible, hugely positive, awesome for the world."

Altman said last year that AI would exceed human intelligence across the board by 2030. He has also said that the technology could eventually perform between 30% and 40% of the tasks humans now do at work.

The singularity has been an obsession of science fiction writers for close to 100 years. In those writings, it has rarely ended well. Perhaps most famously, James Cameron's "The Terminator" is a story about the repercussions of an AI, called "Skynet," that self-improves and becomes self-aware before deciding its creators are its biggest threat.

Later in the podcast, Altman criticizes AI leaders who have repeatedly warned that AI is dangerous. He didn't name Anthropic, his primary competition, but its CEO, Dario Amodei, is well-known for making dire predictions about the future in his calls for greater attention to safety.

"I also think some of the alternative visions painted by other companies are quite terrifying," Altman said. "I'm going to make sure that gets pushed against and is not what happens."

Altman isn't the only tech executive who believes this eyebrow-raising milestone is nigh. DeepMind CEO Demis Hassabis said in May that humanity was standing at the "foothills of the singularity," and predicted that AI could be 100 times as transformative as the Industrial Revolution.

There's also a camp of skeptics, of course. Nvidia CEO Jensen Huang recently dismissed discussions about the singularity and conscious AI as speculative and "made up."

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Key Terms Explained #

AI Agent An autonomous AI system that can perceive its environment, make decisions, and take actions to achieve goals.

Anthropic An AI safety company founded in 2021 by former OpenAI researchers, including Dario and Daniela Amodei.

Artificial Intelligence The science of creating machines that can perform tasks requiring human-like intelligence — reasoning, learning, perception, language understanding, and decision-making.

Attention A mechanism that lets neural networks focus on the most relevant parts of their input when producing output.

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