Anthropic Calls for Pause of Global AI Development

FILE PHOTO: Anthropic logo is seen in this illustration created on March 1, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: Anthropic logo is seen in this illustration created on March 1, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
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Anthropic Calls for Pause of Global AI Development

FILE PHOTO: Anthropic logo is seen in this illustration created on March 1, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: Anthropic logo is seen in this illustration created on March 1, 2026. REUTERS/Dado Ruvic/Illustration/File Photo

Artificial intelligence company Anthropic suggested Thursday a global pause on building the most powerful AI systems as the latest models are beginning to show signs they could escape human control.

The San Francisco-based company, which makes the Claude family of AI models, said in a report that a worldwide slowdown in cutting-edge AI development would "likely be a good thing" -- but warned that if only one company stopped, rivals would simply race ahead.

"We believe it would be good for the world to have the option to slow or temporarily pause frontier AI development to enable societal structures and alignment research to keep up with the advance of the technology," AFP quoted it as saying.

Getting a real pause to work would mean multiple major AI companies in multiple countries -- most notably the United States and China -- all agreeing to stop at the same time, under rules everyone could actually verify, Anthropic said.

That idea may prove somewhat unpopular with the likes of Elon Musk, as the hotly anticipated stock market debut of his SpaceX company -- which owns his artificial intelligence venture xAI -- is expected to make him the world's first trillionaire.

"Without a global coordination mechanism, companies and governments will have to make difficult decisions about safety while under competitive and geopolitical pressures," Anthropic said.

The company has faced pushback from others in the industry -- and officials in the White House -- who say its focus on worst-case scenarios overstates the risks and amounts to a strategy for slowing rivals under the cover of safety concerns.

Still, the White House has acknowledged the power of the company's Mythos model -- which has not been made available to the general public due to its cybersecurity capabilities and is currently deployed only to a small number of vetted organizations.

The proposal would face an uphill battle in Washington and Silicon Valley, where US officials and tech executives have repeatedly argued that any slowdown in AI development risks handing China a decisive strategic edge in what many see as the defining technology race of the century.

US President Donald Trump, however, said he discussed the possibility of cooperating with China on AI safety issues during his recent visit to Beijing.

Trump also signed an executive order this week that allows the government 30 days to conduct a preliminary review of the most powerful US AI models before their release.

Anthropic compared the problem to nuclear arms control treaties, but said it would be even harder to get a handle on since AI training is far easier to hide than a missile silo, and the temptation to quietly keep going would be enormous.

"You want the option to be able to take your foot off the gas and put your foot on the brake," Anthropic's co-founder Jack Clark told Britain's BBC Newsnight on Thursday.

"Right now, it's like the AI industry has a gas pedal, but it doesn't have a brake pedal."

The company said it plans to bring together government officials, scientists, advocacy groups and competing AI firms in coming months to figure out how such a system could work.

The call for coordination comes alongside internal data showing that AI is already dramatically speeding up the development of AI itself, Anthropic said.

That acceleration creates a feedback loop that Anthropic warned could eventually lead to what researchers call "recursive self-improvement."

That's the idea of an AI system that becomes capable of essentially teaching itself to get smarter, without much human help.

"We are not there yet, and recursive self-improvement is not inevitable," the Anthropic report said, while adding that it could arrive sooner than most governments and institutions are ready for.

"The evidence suggests that the human role is narrowing at each step in the AI development process," the company said.



China's Tencent Says AI Agents Showed Unintended Browsing Behavior

FILE PHOTO: The Tencent logo at the company's headquarters during a government‑organised media trip in Shenzhen, Guangdong province, China, April 17, 2026.  REUTERS/Go Nakamura/File Photo
FILE PHOTO: The Tencent logo at the company's headquarters during a government‑organised media trip in Shenzhen, Guangdong province, China, April 17, 2026. REUTERS/Go Nakamura/File Photo
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China's Tencent Says AI Agents Showed Unintended Browsing Behavior

FILE PHOTO: The Tencent logo at the company's headquarters during a government‑organised media trip in Shenzhen, Guangdong province, China, April 17, 2026.  REUTERS/Go Nakamura/File Photo
FILE PHOTO: The Tencent logo at the company's headquarters during a government‑organised media trip in Shenzhen, Guangdong province, China, April 17, 2026. REUTERS/Go Nakamura/File Photo

Tencent said on Friday that AI agents used to evaluate third-party models displayed web-browsing behavior not intended by the tech giant, in what appears to be the first known incident of rogue agent actions acknowledged by a major Chinese company.

The statement followed a report by AI-safety research group Swarmchasers on Wednesday, which said "rogue" agents running on infrastructure it linked to Tencent Cloud made repeated attempts between September 28 and October 8 to retrieve information from Alibaba's Amap, China's equivalent to Google Maps.

Tencent Hunyuan, the company's artificial ⁠intelligence unit, said in ⁠a post on X that the activity did not originate from its Hunyuan models. Its review found no evidence of deliberate targeting or coordination, Reuters quoted it as saying.

The Swarmchasers researchers said the agents sought information such as the commonly used entrances at Chinese parks, museums and zoos.

The actions are not as egregious as those disclosed by US AI companies which include the hack of ⁠open-source platform Hugging Face by an OpenAI agent and the lodging of a fake homicide tip by an Anthropic agent.

But the disclosure underscores research that shows Chinese AI agents can also misrepresent their identity, conceal failures and try to circumvent testing controls.

Tencent said it took the findings very seriously and was strengthening network access controls and agent monitoring.

Hunyuan is one of China's leading AI model developers, competing with in-house teams at rivals such as Alibaba and ByteDance. ByteDance this week announced the creation of a new unit focused on AI model and agent safety.

Swarmchasers said it used the ⁠word "rogue" to ⁠describe agents taking actions outside their intended scope or completing a task in unintended ways.

After routine automated requests were blocked, the agents tried other methods, including public web tools that could open pages and run code, routing requests through other websites and using Amap keys and security codes found in publicly available software code.

Swarmchasers said it found no evidence that the agents breached Amap's main anti-bot safeguards. Most of the 2,818 attempts it recorded either failed or returned anti-bot pages, login screens or blank results.

Some requests returned information through cached pages and intermediary services, including data on visitor arrivals at Chengdu Zoo, Swarmchasers said. The researchers said they could not determine whether an agent read the result or completed its task.


Anthropic Co-founder Renews Call for Robust Regulation of Frontier AI

AI Research Company Anthropic's Co-Founder and Head of Public Benefit Jack Clark speaks during the Artificial Intelligence and the Global Economy From Risk to Opportunity event of the 2026 Annual Meetings of the IMF and the World Bank Group in Bangkok, Thailand, 16 October 2026. EPA/RUNGROJ YONGRIT
AI Research Company Anthropic's Co-Founder and Head of Public Benefit Jack Clark speaks during the Artificial Intelligence and the Global Economy From Risk to Opportunity event of the 2026 Annual Meetings of the IMF and the World Bank Group in Bangkok, Thailand, 16 October 2026. EPA/RUNGROJ YONGRIT
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Anthropic Co-founder Renews Call for Robust Regulation of Frontier AI

AI Research Company Anthropic's Co-Founder and Head of Public Benefit Jack Clark speaks during the Artificial Intelligence and the Global Economy From Risk to Opportunity event of the 2026 Annual Meetings of the IMF and the World Bank Group in Bangkok, Thailand, 16 October 2026. EPA/RUNGROJ YONGRIT
AI Research Company Anthropic's Co-Founder and Head of Public Benefit Jack Clark speaks during the Artificial Intelligence and the Global Economy From Risk to Opportunity event of the 2026 Annual Meetings of the IMF and the World Bank Group in Bangkok, Thailand, 16 October 2026. EPA/RUNGROJ YONGRIT

Anthropic co-founder Jack Clark renewed calls on Friday for regulating artificial intelligence, saying that allowing companies to continue to operate without robust legislation was like letting a race car loose on the streets at night without brakes.

"It's remarkable to me that the toys I buy for my children are regulated more than the literal super intelligence I work on at my day job," he told an event at the IMF-World Bank's Annual Meetings in Bangkok.

Clark said that US President Donald Trump, whose administration has called for the industry to police itself, was against the idea of regulation but that China was not, said AFP.

"I think it's Formula One at night without maybe brakes in the cars," he said.

He said the lack of clarity around the will for regulation meant "the Formula One car is roaring round and nobody seems to want to put up a guardrail?"

At an industry summit in Dublin on Wednesday, calls to prioritize safety in the development of powerful AI technology dominated the conversation.

Concerns about AI guardrails have soared after models developed by OpenAI and Anthropic were involved in security incidents during testing, piling on pressure to regulate the technology.

A recent Anthropic report suggested small AI models may be only months away from behaving like computer worms, copying themselves from one internet-connected device to the next.

Anthropic has been among those companies calling for governments to step in, even suggesting international coordination to slow down the whole industry -- including Chinese rivals.

That initiative has so far failed to materialize, with companies involved in a hyper-competitive race to attract as much investment as possible.


Meta Releases Open-Weight Muse Spark Model for Coding, Agentic Tasks

The logo of Meta is seen at the entrance of the company's temporary stand ahead of the World Economic Forum (WEF) in Davos, Switzerland January 18, 2025. (Reuters)
The logo of Meta is seen at the entrance of the company's temporary stand ahead of the World Economic Forum (WEF) in Davos, Switzerland January 18, 2025. (Reuters)
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Meta Releases Open-Weight Muse Spark Model for Coding, Agentic Tasks

The logo of Meta is seen at the entrance of the company's temporary stand ahead of the World Economic Forum (WEF) in Davos, Switzerland January 18, 2025. (Reuters)
The logo of Meta is seen at the entrance of the company's temporary stand ahead of the World Economic Forum (WEF) in Davos, Switzerland January 18, 2025. (Reuters)

Meta ‌Platforms on Thursday released an open-weight version of its Muse Spark artificial intelligence model for coding and AI agents, expanding developers' ability to download and adapt the technology.

Open-weight models make trained parameters available for developers to modify, unlike proprietary models ‌that remain under ‌their creators' control. ‌They ⁠can offer businesses ⁠a lower-cost alternative to closed systems.

Meta said Muse Spark has 816 billion total parameters, with 42 billion active at a time, and ⁠can handle a context window ‌of up ‌to 1 million tokens.

The ‌model can run locally on ‌two Apple M5 Ultra Mac Studio computers and is also available through some API providers.

CEO ‌Mark Zuckerberg has argued that advanced AI should ⁠not be ⁠concentrated among a small number of companies.

While open-weight models can give companies greater control over their data, they can require significant computing resources and technical expertise to operate at scale.

In August, Meta released Muse Glimmer, a smaller open-weight model.