At CES, Auto and Tech Companies Transform Cars into Proactive Companions

The Afeela Prototype 2026 displayed during a Sony Honda Mobility news conference ahead of the CES tech show, Monday, Jan. 5, 2026, in Las Vegas. (AP)
The Afeela Prototype 2026 displayed during a Sony Honda Mobility news conference ahead of the CES tech show, Monday, Jan. 5, 2026, in Las Vegas. (AP)
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At CES, Auto and Tech Companies Transform Cars into Proactive Companions

The Afeela Prototype 2026 displayed during a Sony Honda Mobility news conference ahead of the CES tech show, Monday, Jan. 5, 2026, in Las Vegas. (AP)
The Afeela Prototype 2026 displayed during a Sony Honda Mobility news conference ahead of the CES tech show, Monday, Jan. 5, 2026, in Las Vegas. (AP)

In a vision of the near future shared at CES, a girl slides into the back seat of her parents' car and the cabin instantly comes alive. The vehicle recognizes her, knows it’s her birthday and cues up her favorite song without a word spoken.

“Think of the car as having a soul and being an extension of your family,” Sri Subramanian, Nvidia's global head of generative AI for automotive, said Tuesday.

Subramanian's example, shared with a CES audience on the show's opening day in Las Vegas, illustrates the growing sophistication of AI-powered in-cabin systems and the expanding scope of personal data that smart vehicles may collect, retain and use to shape the driving experience.

Across the show floor, the car emerged less as a machine and more as a companion as automakers and tech companies showcased vehicles that can adapt to drivers and passengers in real time — from tracking heart rates and emotions to alerting if a baby or young child is accidentally left in the car.

Bosch debuted its new AI vehicle extension that aims to turn the cabin into a “proactive companion.” Nvidia, the poster child of the AI boom, announced Alpamayo, its new vehicle AI initiative designed to help autonomous cars think through complex driving decisions. CEO Jensen Huang called it a “ChatGPT moment for physical AI.”

But experts say the push toward a more personalized driving experience is intensifying questions about how much driver data is being collected.

“The magic of AI should not just mean all privacy and security protections are off,” said Justin Brookman, director of marketplace policy at Consumer Reports.

Unlike smartphones or online platforms, cars have only recently become major repositories of personal data, Brookman said. As a result, the industry is still trying to establish the “rules of the road” for what automakers and tech companies are allowed to do with driver data.

That uncertainty is compounded by the uniquely personal nature of cars, Brookman said. Many people see their vehicles as an extension of themselves — or even their homes — which he said can make the presence of cameras, microphones and other monitoring tools feel especially invasive.

“Sometimes privacy issues are difficult for folks to internalize,” he said. “People generally feel they wish they had more privacy but also don’t necessarily know what they can do to address it.”

At the same time, Brookman said, many of these technologies offer real safety benefits for drivers and can be good for the consumer.

On the CES show floor, some of those conveniences were on display at automotive supplier Gentex’s booth, where attendees sat in a mock six-seater van in front of large screens demonstrating how closely the company’s AI-equipped sensors and cameras could monitor a driver and passengers.

“Are they sleepy? Are they drowsy? Are they not seated properly? Are they eating, talking on phones? Are they angry? You name it, we can figure out how to detect that in the cabin,” said Brian Brackenbury, director of product line management at Gentex.

Brackenbury said it's ultimately up to the car manufacturers to decide how the vehicle reacts to the data that's collected, which he said is stored in the car and deleted after the video frames, for example, have been processed. "

“One of the mantras we have at Gentex is we're not going to do it just because we can, just because the technology allows it,” Brackebury said, adding that “data privacy is really important.”



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.