New Warnings About the Risks of AI to Humanity Revive a Long-Running Debate

Words "AI Artificial Intelligence", keyboard, and a robotic hand in this illustration taken June 5, 2026. (Reuters)
Words "AI Artificial Intelligence", keyboard, and a robotic hand in this illustration taken June 5, 2026. (Reuters)
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New Warnings About the Risks of AI to Humanity Revive a Long-Running Debate

Words "AI Artificial Intelligence", keyboard, and a robotic hand in this illustration taken June 5, 2026. (Reuters)
Words "AI Artificial Intelligence", keyboard, and a robotic hand in this illustration taken June 5, 2026. (Reuters)

New warnings from within the artificial intelligence industry have revived a long-running debate over whether advanced AI could escape human control and ultimately threaten humanity’s survival, and whether the companies developing the technology are doing enough to prevent such a scenario.

The CEO of Anthropic, the San Francisco company behind Claude, said he thought the industry needed to reduce the speed of its work, cautioning Saturday that a swarm of AI agents might be able to take over the internet in six months to a year unless companies devoted more time to putting safeguards in place.

Dario Amodei outlined a plan for companies like his and governments around the world to ensure that increasingly capable AI models remain aligned with the commands and values of responsible people days after two former Anthropic safety researchers publicly aired concerns that the existential threats AI might pose to humanity were receiving too little attention.

Here’s what to know about the recent dire predictions and whether any brakes might be put on AI advancement:

AI models are becoming more powerful

Concerns over the potential risks of the technology are rising as new AI models become more powerful, heightening both the potential for misuse by people with criminal aims, such as creating and spreading a disease that kills most of the world's population, and the risk of AI systems going rogue in a dangerous way.

Anthropic disclosed last week that it blocked efforts by bad actors to use its AI models for malicious activity, such as cyberattacks, surveillance and research that could have led to biological weapons.

The company said it put stronger safeguards in its latest models to restrict biological research that could be used to make weapons but noted that “as models become increasingly capable, their risks will increase, unless AI developers and society’s defenders act to make them safer.”

Last year, Anthropic reported that hackers used the company’s AI in a cyberattack targeting about 30 companies and government agencies around the world. It said the hackers were very likely from a Chinese state-sponsored group.

Multiple AI models have acted on their own

When an AI agent “goes rogue,” it means the AI has taken action beyond the task it was asked to perform. Both Anthropic and OpenAI, the maker of ChatGPT, said in July that their AI models had succeeded in acting on their own.

Anthropic disclosed that three AI models — Claude Opus 4.7, Claude Mythos 5 and an internal research test model — hacked into three other organizations during testing just days after OpenAI revealed that its AI system hacked into the servers of AI startup Hugging Face.

OpenAI described the intrusion by a combination of models, including its newly released GPT‑5.6 Sol and an “even more capable” model that was still being tested internally, as a “significant security incident.”

Meta followed suit in early August with a similar case of an AI model finding ways around another company's digital security.

Although some observers noted that people had disabled some guardrails in the OpenAI and Anthropic cases, the episodes seemed to reflect one of the biggest fears around AI: that if models achieve artificial general intelligence, or AGI, a loosely defined term for AI that can match or surpass human abilities across a broad range of intellectual tasks, the technology could cause an irreversible catastrophic event or subjugate the human race.

How or when AI might cause a catastrophe is debated

Doomsday scenarios generally fall into two categories: An AI that achieves self-improving superintelligence controls people instead of vice versa, or AI used by a rogue state or nefarious actors.

Worries that artificial intelligence might overcome human limits on its reach or actions are not new.

Alan Turing, a British mathematician widely regarded as one of the earliest authorities on artificial intelligence, predicted in 1951 that AI would eventually take control from humans. Less than a decade later, Norbert Wiener, another mathematician, warned intelligent machines would seek to accomplish their own objectives and humans would not be able to stop them.

In 2026, how reasonable are fears that AI, either by escaping human control or through misuse by unscrupulous people, could cause a cataclysmic event or the downfall of civilization?

No one knows.

Experts across computer science, philosophy and other fields have envisioned numerous routes by which a future AI system might cause a global catastrophe, either by escaping human control or in the hands of an unscrupulous people. They range from deploying weapons and identifying a lethal pathogen to manipulating governments into conflict or disrupting the food, energy and communications networks societies rely on to function.

There is no widely accepted estimate for how soon any of these scenarios might happen and no consensus on their likelihood.

In 2023, the nonprofit Center for AI Safety issued a statement cosigned by more than 350 researchers and technology executives, including Anthropic's Amodei and OpenAI CEO Sam Altman, saying: “Mitigating the risk of extinction from AI should be a global priority alongside pandemics and nuclear war.”

The 2026 International AI Safety Report, written with guidance from more than 100 independent experts, says current systems show early signs of some relevant capabilities but not at levels that could enable a loss of control, and describes the risk’s likelihood, nature and timing as “unusually ambiguous.”

Some are stressing the need for AI safeguards before it's too late

An Anthropic researcher said last week he was resigning from the company over concerns that neither the company nor its competitors were acting responsibly in developing the technology. In social media posts, Jacob Coxon estimated a 10% chance of AI causing human extinction within the next decade and said both Anthropic and OpenAI “are racing straight to self-improving superintelligence and gambling with our lives.”

Researchers have called for a slowdown of AI development and warned for years that the technology could pose existential risks to humanity.

Following the recent incidents, experts called for improved testing by AI companies and more dialogue between the US and China to come up with shared solutions.

But AI is growing so fast that government and evaluation systems are struggling to keep pace with the technology. Countries are cobbling together their own laws, some conflicting.

Chinese leader Xi Jinping warned at a conference in July of the need to keep AI from evading human control. The Trump administration initially demonstrated reluctance to regulate AI but has become more keen to reduce cybersecurity risks.

On Sunday, President Trump downplayed the necessity for his administration to check AI development, but acknowledged the need for some regulation.



EU Vows AI Rules Will Protect Europeans. Will They?

Humanoid and quadruped robots attend a demonstration calling for the regulation of AI development in Warsaw in September. Sergei GAPON / AFP/File
Humanoid and quadruped robots attend a demonstration calling for the regulation of AI development in Warsaw in September. Sergei GAPON / AFP/File
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EU Vows AI Rules Will Protect Europeans. Will They?

Humanoid and quadruped robots attend a demonstration calling for the regulation of AI development in Warsaw in September. Sergei GAPON / AFP/File
Humanoid and quadruped robots attend a demonstration calling for the regulation of AI development in Warsaw in September. Sergei GAPON / AFP/File

AI agents going rogue and ever-louder doomsday warnings have led many in Europe to wonder: are the EU's artificial intelligence rules enough to protect against the potential dangers?

The European Union insists that, yes, its law known as the AI Act is powerful enough since it forces companies to assess and mitigate risks, under threat of massive fines or even bans, AFP said.

EU lawmakers, officials and experts appear more skeptical, pointing to gaps in the rules and questioning whether Brussels has the stomach for a fight with AI labs.

The EU agreed its sweeping AI legislation in 2024 but delayed part of its implementation, and enforcement has only been possible since August this year.

Nonetheless, EU spokesman Thomas Regnier says the rules are "fully fit for purpose".

"You can feel safe at home in Europe, precisely because we have put all these safeguards in place," he said.

So far the EU has sent over 30 requests for information -- a preliminary step that can lead to investigations -- to companies on issues from copyright to cybersecurity and safety.

Brussels says its rules are working since they have already forced AI providers to cough up information to regulators, though Regnier declined to give details.

There are, however, questions about Europe getting access to the latest models: it took months for the EU to test Anthropic's Mythos following US export control orders.

Speaking on condition of anonymity, an EU official admitted such an issue could arise again.

- 'Dangerous experiments' -

EU chief Ursula von der Leyen has proposed talks with the main frontier labs to "pace" the technology's growth, arguing the AI Act puts Europe "in the position to shape global efforts" at regulation.

But that is a tall order without buy-in from the United States -- where President Donald Trump firmly opposes regulating the sector.

And not everyone is convinced the EU law has what it takes.

Four EU lawmakers including lead AI Act negotiator Brando Benifei warn of "legislative gaps" after the EU shelved plans for AI liability rules.

Such rules would have made it easier to hold AI providers accountable for harm caused by their tools.

The lawmakers argue current rules do "not apply to the research, testing or development phase" leaving Europeans "unprotected".

The European Commission rejects the claim.

The law can be "enforced against any provider, starting from the testing phase, if they experience a loss of control that affects the EU's internal market," including cyberattacks and biological or chemical misuse, Regnier said.

Researcher Harshvardhan Pandit echoed lawmaker concerns about liability in the bloc.

"We are missing these pieces of accountability, and if we don't fix this now and we get more of these incidents, this is only going to get worse," said Pandit, of AI Accountability Lab in Trinity College Dublin.

If a model ends up hacking a website, once AI providers have sold their tools, Pandit said "we don't know" who is ultimately responsible.

But he also said the AI Act requires developers "to have addressed" safety risks by the time a model reaches the market, noting that recent incidents including with OpenAI agents happened during testing.

And he noted the EU has other laws to counter risks, including on cybersecurity and data protection.

- US influence -

EU lawmaker Benifei said the AI Act correctly anticipated the threat of agents going rogue, but raised concerns about enforcement -- including that staffing levels at the EU's AI Office are nowhere near enough to match the risks.

"The European Commission must guarantee the office political backing, operational independence, resources, and technical staff to quickly deliver decisive enforcement," Benifei told AFP.

Analyst Pandit agreed the AI office needed "far more people and technical expertise".

The office currently employs around 125 staff.

And there is the question of whether the EU has the appetite for taking on AI providers, most of which are US-based.

Brussels has already drawn Washington's ire with probes under different laws, culminating in fines worth billions of dollars.

The EU official admitted the bloc may think twice before enforcing its full powers against American firms, considering Europe's dependence on US tech.

One way to have greater influence over AI safety, the official said, was to build its own technology.

"Europe must also build capabilities, from chips and cloud to a publicly funded CERN for AI," Benifei echoed, referring to the European physics lab in Switzerland that seeks to unravel the universe's composition.

He also said the EU, as von der Leyen pledged last month, should "work more closely with middle powers like Canada, which share an interest in rules that no power or company can dictate".


Nvidia-Backed Reflection Unveils First AI Model to Take on Chinese Open Models

An NVIDIA logo appears in this illustration taken August 25, 2025. (Reuters)
An NVIDIA logo appears in this illustration taken August 25, 2025. (Reuters)
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Nvidia-Backed Reflection Unveils First AI Model to Take on Chinese Open Models

An NVIDIA logo appears in this illustration taken August 25, 2025. (Reuters)
An NVIDIA logo appears in this illustration taken August 25, 2025. (Reuters)

Nvidia-backed Reflection ‌AI debuted its first open-weight model named Beam on Monday, as the startup aims to compete with lower-cost Chinese models such as DeepSeek and Kimi in coding and agentic tasks.

Reflection said Beam is competitive with Chinese AI startup Z.ai's GLM-5.2 and is closing in on Qwen3.8-Max on coding and agentic ‌tasks.

The startup ‌said ⁠that Beam contains ⁠501 billion total parameters, or variables that determine how an AI system processes information, but activates only 23 billion for each task to make the model faster and cheaper to ⁠run by using only part of ‌its network for ‌each task.

Comparatively, Z.ai's GLM-5.2 has ‌about 744 billion total parameters with 40 ‌billion active parameters.

The launch comes as US tech firms are trying to fend off competition from Chinese open-weight ‌models that are cheaper, more customizable and capable of generating code ⁠nearly ⁠as well as leading models from OpenAI and Anthropic.

Founded in 2024 by former DeepMind researchers Misha Laskin and Ioannis Antonoglou, Reflection develops tools that automate software development, a fast-growing use case for AI.

Earlier this year, Reflection signed a deal with SpaceX for additional computing capacity at the Elon Musk-led company's Colossus 2 data center.


Pinterest Taps Amazon Veteran James Dibbo as CFO

A display for image sharing and social media service Pinterest is seen at the Collision conference in Toronto, Ontario, Canada June 23, 2022. (Reuters)
A display for image sharing and social media service Pinterest is seen at the Collision conference in Toronto, Ontario, Canada June 23, 2022. (Reuters)
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Pinterest Taps Amazon Veteran James Dibbo as CFO

A display for image sharing and social media service Pinterest is seen at the Collision conference in Toronto, Ontario, Canada June 23, 2022. (Reuters)
A display for image sharing and social media service Pinterest is seen at the Collision conference in Toronto, Ontario, Canada June 23, 2022. (Reuters)

Pinterest ‌said on Monday it has appointed Amazon executive James Dibbo as its chief financial officer, effective October 26.

Dibbo, 56, who will succeed Julia Donnelly at Pinterest, has led finance for the e-commerce giant's Ads, Prime ‌Video and Amazon ‌MGM Studios businesses ‌among ⁠others.

Shares of Pinterest were down about 1% in extended trading.

"James has led complex global businesses at scale, helped build ⁠high-performing teams and ‌understands the ‌intersection of consumer experience, shopping, advertising ‌and technology," Pinterest CEO Bill ‌Ready said.

The company had said in August that Donnelly would depart on October ‌30.

Donnelly, who is leaving to pursue a ⁠new ⁠opportunity at a private, early-stage company, joined Pinterest in 2023.

The image-sharing platform had forecast slower third-quarter revenue growth as it navigates a highly competitive digital advertising market dominated by larger players such as Meta's Instagram and Facebook.