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.



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.


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.


Taiwan Chip Giant TSMC Says Net Profit Hit Record in 3rd Quarter

FILE PHOTO: File Photo: The logo of Taiwan Semiconductor Manufacturing Company (TSMC) at the company's second-quarter earnings conference in Taipei, Taiwan, July 16, 2026. REUTERS/Ann Wang/File Photo/File Photo
FILE PHOTO: File Photo: The logo of Taiwan Semiconductor Manufacturing Company (TSMC) at the company's second-quarter earnings conference in Taipei, Taiwan, July 16, 2026. REUTERS/Ann Wang/File Photo/File Photo
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Taiwan Chip Giant TSMC Says Net Profit Hit Record in 3rd Quarter

FILE PHOTO: File Photo: The logo of Taiwan Semiconductor Manufacturing Company (TSMC) at the company's second-quarter earnings conference in Taipei, Taiwan, July 16, 2026. REUTERS/Ann Wang/File Photo/File Photo
FILE PHOTO: File Photo: The logo of Taiwan Semiconductor Manufacturing Company (TSMC) at the company's second-quarter earnings conference in Taipei, Taiwan, July 16, 2026. REUTERS/Ann Wang/File Photo/File Photo

Taiwanese chip giant TSMC said Thursday that net profit soared 68.7 percent to a record high in the third quarter, buoyed by massive global demand for AI hardware.

The result marked the sixth straight record quarterly net profit for the company, the world's biggest contract maker of microchips, including those used in Nvidia AI data center processors.

But with the AI boom only getting bigger, analysts warn that chipmakers and other tech firms reporting bumper financial results risk being "judged against perfection" by investors.

Meanwhile the company's planned expansion into the United States, including building chip plants in Arizona, is also likely to shape its future earnings.

TSMC's net profit for July to September surged year-on-year to NT$763.1 billion (US$23.6 billion), beating analyst estimates of NT$739.5 billion.

The result surpassed the company's previous quarterly record of NT$706.6 billion set in April-June 2026.

Quarterly revenue rose 50.9 percent to NT$1.5 trillion.

"Our business was supported by strong demand for our leading-edge process technologies," AFP quoted the company as saying in a statement.

Governments and tech giants are pouring eye-watering sums into building data centers that can train and run AI tools such as image generators and agents that can execute tasks.

But concerns about overstretched valuations have fueled fears of a market bubble, along with questions over when the massive investments into AI will reap returns.

TSMC's share price has ballooned nearly 60 percent this year, adding pressure on its earnings announcement as investors ask how long the good times can last.

TSMC builds chips for the likes of Nvidia, Apple, AMD and Broadcom -- meaning it "sits at the very center of the AI ecosystem", Zavier Wong, Market Analyst at eToro, told AFP ahead of the earnings announcement.

"Every leading AI chip still runs through its factories, so for investors, this week's results are about as close as it gets to a health check on the entire AI build-out."

Fears over AI's dangers have intensified in recent weeks, leading to calls for leading US labs to deliberately slow down their technological advancement.

"If the biggest buyers start to pace their spending, whether because of funding costs or AI labs slowing the development of new models, chipmakers would feel it quickly," Wong said.

TSMC is not the only chip giant enjoying the benefits of the AI boom.

Last week, South Korea's Samsung Electronics forecast a more than 780 percent leap in third-quarter operating profit from a year earlier.

But Samsung's shares still fell because its forecast missed expectations.

"Record profits have become the new normal, and Nvidia has lived with this for years, judged against perfection," Wong said.

Often "investors skip straight past the headline numbers and pick through the guidance and the fine print for any warning signs.”