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Godfather of AI: Brace for more rogue AIs

The smarter artificial intelligence gets, the harder it will be for humanity to control it, according to Geoffrey Hinton, the Nobel Prize-winning computer scientist known as the “godfather of AI.”

Even Hinton was alarmed by the sophisticated AI agents that recently caused real-world damage after escaping their human-built testing environments.

“What’s happening is these things are getting smarter,” Hinton told CNN on Wednesday during a press conference at an artificial intelligence convention. “I think as they get smarter, we’re going to see more and more complex intentions they have – and more and more ability to escape control.”

The problem, according to Hinton, is that humans will no longer be able to rely on outsmarting super-intelligent AI models.

“I don’t believe we’re going to be able to keep control of them in the simple way of just outthinking them so they can’t escape,” Hinton said on the sidelines of Ai4, a conference in Las Vegas.

Last month, the two leading frontier AI labs, OpenAI and Anthropic, disclosed that leading models they developed escaped their “sandbox” and hacked into other systems. On Wednesday, Meta similarly disclosed an AI agent that hacked into another organization’s systems.

AI-powered ‘nasty’ cyberattacks

Hinton found the incidents “somewhat scary” and said this is likely just the beginning of rogue AI hackers.

“I anticipate there will be lots of nasty cyberattacks,” he said during a panel discussion at Ai4 in Las Vegas. “But I should emphasize the future is very uncertain. People say that the defender may have more resources than the attacker. The problem is the attacker only needs to be successful once, and the defender needs to be successful every time.”

Britain’s AI Security Institute (AISI) revealed on Tuesday that Anthropic’s most advanced AI model – unprompted – used fake identities to deceive real people and attempt to plant malicious code.

Hinton, a former Google executive, has made a series of dire warnings in recent years about AI, even saying there is a 10% to 20% the technology eventually wipes out humanity.

Speaking on a panel with Hinton, Fei-Fei Li, a computer scientist known as the “godmother of AI,” took issue with “doomerism” and “fear-mongering” over AI. But “total utopian talk” isn’t helpful either, said Li, the co-founder and CEO of spatial intelligence startup World Labs.

“Every tool is a double-edged sword. AI is such a powerful tool. If not wielded in the right way, it will bring harm to our work and our life,” Li said.

‘Nobody really has a clue’

Hinton defended his willingness to discuss the dangers of AI.

“There’s a lot to be worried about, and I think unless we worry about it now, there could be problems,” he said. “Companies investing in AI have a vested interest in telling you two things: One, it won’t go rogue. And two, it won’t cause mass unemployment,” Hinton said.

Hinton acknowledged, however, that there is a great deal of uncertainty over how this will all play out.

“Nobody knows what’s going to happen. If you ask what AI is going to be like in 10 years’ time, nobody really has a clue,” Hinton said.

He pointed to how a decade ago, few would have expected AI would have created chatbots that “know everything and can answer any question you ask and occasionally just make stuff up.”

Making AI care about humans

Ben Goertzel, a computer scientist who helped popularize the term “artificial general intelligence,” said the Anthropic and OpenAI agents going rogue shows the importance of instilling morals in AI and making them care about humanity.

“These models are not evil. They’re amoral,” Goertzel, the founder and CEO of SingularityNET, told CNN at Ai4. “It’s not like they hacked out of their sandbox thinking, ‘Ha-ha, I’m cheating.’ They didn’t know they’re cheating. They’re just trying to complete their goals.”

Hinton has argued in the past that “maternal instincts” should be built into AI so that they really care about people – even when they are smarter than humans.

“We have to figure out how to make them benevolent and make them care about us more than they care about themselves,” Hinton said on Wednesday. “And we might be able to do that because we’re still in control.”

The-CNN-Wire
™ & © 2026 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.

Americans are rallying against data centers. Surprisingly few are actually getting built

(CNN) — People really don’t like AI data centers.Politicians are running against them. A recent Gallup poll showed 71% of Americans oppose them. Several counties and states have proposed or passed laws to ban them.But this notion that AI data centers are quickly popping up everywhere is belied by the fact that their construction faces massive hurdles – regardless of whether anyone wants them in their backyard or not.DelaysConstruction delays are nothing new: Historically, around 72% of scheduled data center capacity comes online on time, according to Goldman Sachs.But only about half of the AI computing capacity scheduled to activate between now and 2028 via data center construction is actually expected to come online by its target date, Goldman Sachs said. Data centers typically take 18 to 24 months to build, but completion times are getting stretched as delays are getting worse.Despite $750 billion in AI infrastructure investments this year alone, according to JPMorgan, data centers are struggling to get shovels in the ground. About 60% of data center capacity planned for completion in 2027 hasn’t even begun construction, according to JPMorgan. Another 7% of projects that have gotten underway have since been delayed.The planned American data center boom is absolutely massive.The United States had 5,427 data centers at the end of last year, according to Stanford University’s AI Index Report. That number is set to nearly double: AI companies have announced plans for 3,969 new US data centers, according to Aterio, a data center research company.Of those, just 802 are currently under construction.There’s reason to believe many of those nearly 4,000 planned data centers were never real to begin with: Developers typically submit many simultaneous applications across multiple regions only to pick the most viable one, noted Goldman Sachs.That’s why, of the 565 gigawatts of computing power AI companies are currently planning (more than 10 times today’s power), Columbia Business School real estate professor Stijn Van Nieuwerburgh expects just 180 gigawatts to actually get built over the next decade. Two-thirds of the pipeline is “implausible,” he says.That still amounts to about $10 trillion of investment – 50% bigger than the next-biggest spending boom from the 19th century railroad expansion.But sand is accumulating in the AI gears. That overwhelming demand for data center buildouts has vastly outstripped the industry’s ability to supply it.What’s behind the delays?Materials shortages: Building materials have become difficult to source because of surging demand.Even if construction materials were readily available, the chips that the massive buildings house are in short supply. That’s particularly true for Taiwan’s TSMC, which fabricates virtually every leading AI chip, including Nvidia’s Blackwell and AMD’s MI300X. That makes TSMC “a single point of dependency in the global AI supply chain,” according to Stanford University’s AI Index report.Power shortages: AI’s massive strains on the electrical grid have caused a significant supply and demand imbalance. Data centers already account for roughly 8% of US electricity usage, and that could grow to 12% by 2028, the American Edge Project, an AI data center advocacy group, predicts.To compensate, many AI companies are building their own electricity-generation plants. But that plan has hit snags, too: Wait times for generation step-up transformers has tripled, according to JPMorgan. GE Vernova, the largest natural gas turbine manufacturer, reported that bookings for its power generators have doubled to $200 billion over a five-year period.Since 2020, inflation for transformers and power regulators has surged the second most of all 47 categories that the Bureau of Labor Statistics measures in its monthly Producer Price Index, a gauge of wholesale inflation.Labor shortages: To meet deadlines for the proposed data center buildouts, the United States would need to add 500,000 electricians, 300,000 welders and 550,000 plumbers, according to the American Edge Project. Recent changes in immigration policy haven’t helped.“Some of our clients are developing 24/7/365, and contractors are moving around all day, but there’s nothing they can do if all the labor is tied up in existing projects,” said Joe Macejak, head of Marsh Risk’s US property digital infrastructure business.Public opposition: About a dozen states have proposed data center building moratoriums, including two states – New York and Texas – that recently put those temporary bans into action. Four additional states have taken up similar bills, but they failed to get enacted.Bans aren’t the biggest hurdle, though: Getting construction permits approved is, noted Goldman Sachs.What’s actually getting builtDespite the delays, spending on data center construction still jumped 7% in June to $68.3 billion, according to a Census Bureau report. That was up an astounding 46% from a year earlier.A single state-of-the-art AI campus can cost around $8 billion, according to Van Nieuwerburgh. Despite that steep cost and the delays, Van Nieuwerburgh expectsThere are now 438 unique data center developers with projects in the US, according to Cleanview, an energy data company.The spending is so massive that data centers are helping fuel inflation, noted Minneapolis Federal Reserve President Neel Kashkari last week.Still, data centers can’t just pop up out of nowhere. They take years to plan and construct. And the web of contractors, local inspectors, developers, laborers, chipmakers and site managers adds cost, complexity, risk – and delays.“It’s very hard to get the timing right with these big buildouts, and often what ends up happening is we get overexcited and accrue too much debt and then a bunch of these investments go bust,” said Van Nieuwerburgh.The-CNN-Wire™ & © 2026 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
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