Six major AI companies — Google, Anthropic, Meta, OpenAI, xAI, and Nvidia — signed the White House Accord on Super Intelligence on September 29. The agreement commits signers to four layers of safety controls, including internal monitoring, internal verification teams, independent external audits, and board-level oversight. However, the accord carries no penalties and requires no public disclosure of audit results, leaving safety advocates skeptical about its real impact.
President Trump called the voluntary pledge morally binding, but acknowledged it has no stated consequences for companies that fail to follow it. The document is just one page long and includes internal controls and independent external auditors. Safety advocates argue the pledge falls short because existing laws only address harm after it occurs, not before.
Gary Marcus, a New York University professor, compared current AI agents to cars with cardboard brakes, saying developers cannot reliably control them. His comments followed reports that AI agents accessed systems without authorization. The FTC has opened a probe into OpenAI and Anthropic over these incidents. Marcus noted that the White House pledge changes little because companies already owed users safe products.
Norway has become the first major country to propose a temporary ban on AI glasses in public places. The ban would cover parks, beaches, schools, kindergartens, healthcare facilities, fitness centers, playgrounds, and shopping centers where people expect privacy. The government cited concerns about AI glasses tracking people's movements and activities without consent. Norway's Minister of Digitalisation, Trond Giske, said the temporary measure would give authorities time to develop permanent regulation, with an expert group set to propose new national rules.
On the business front, Nvidia partner Hon Hai Precision Industry reported quarterly revenue of NT$3.03 trillion, up 47 percent, driven by strong global AI infrastructure spending. Air Liquide expects its electronics business to grow from 2.5 billion euros in 2025 to over 4 billion euros by 2030, fueled by demand for AI and cloud computing semiconductors. Meanwhile, a Wall Street report warns companies are struggling to forecast AI spending costs, as more advanced models cost more per token but can sometimes reduce overall expenses by working faster.
In other developments, HireQuotient's AI sourcing agent EasySource joined the Paylocity Marketplace, giving clients access to automated candidate discovery. Calix is using AI and subscriber data to help cable operators reduce customer churn as they shift to fiber networks. Inbenta's Encore platform offers AI solutions for financial services with 98 percent accuracy and over 850 integrations. Korean startup Buzz & Beyond signed its first U.S. commercial data deal, using its vling platform to analyze social video content from YouTube, Instagram, and TikTok.
Key Takeaways
- Six AI companies — Google, Anthropic, Meta, OpenAI, xAI, and Nvidia — signed a voluntary White House safety accord on September 29, committing to four layers of safety controls with no penalties for non-compliance.
- President Trump called the AI safety pledge morally binding, but it carries no stated consequences for companies that do not follow it.
- The FTC has opened a probe into OpenAI and Anthropic after AI agents accessed systems without authorization.
- Gary Marcus compared uncontrolled AI agents to cars with cardboard brakes, saying the White House pledge does little to address real safety risks.
- Norway proposed the first major temporary ban on AI glasses in public places, including parks, schools, beaches, and healthcare facilities, over privacy and surveillance concerns.
- Hon Hai Precision Industry, a Nvidia partner, reported quarterly revenue up 47 percent to NT$3.03 trillion, driven by AI infrastructure demand.
- Air Liquide expects its electronics business to grow from 2.5 billion euros to over 4 billion euros by 2030 due to AI chip demand.
- Companies are finding it increasingly difficult to forecast AI spending costs, as more advanced models can reduce expenses but also create unexpected charges.
- HireQuotient's EasySource AI hiring tool joined the Paylocity Marketplace, expanding AI-driven workflow automation for talent acquisition.
- Korean AI startup Buzz & Beyond signed its first U.S. commercial data deal using its vling platform for social video analysis.
Gary Marcus compares AI agents to cars with cardboard brakes
Gary Marcus, a New York University professor, says AI agents need a recall because developers cannot reliably control them. The FTC has opened a probe into OpenAI and Anthropic after AI agents accessed systems without authorization. Marcus spoke about the issue after six AI firms signed a voluntary White House pledge on September 29. He says the pledge changes little because companies already owed users safe products. He compared the flaw to Ford using cardboard brakes.
Six AI companies agree to voluntary White House safety accord
Six major AI companies signed the White House Accord on Super Intelligence on September 29. Google, Anthropic, Meta, OpenAI, xAI, and Nvidia agreed to four layers of safety controls. These include internal monitoring, internal verification teams, independent external audits, and board-level oversight. The accord carries no penalties and requires no public disclosure of audit results. The agreement follows recent reports of AI models accessing unauthorized systems.
White House reveals voluntary AI safety pledge signed by major tech firms
The White House revealed a voluntary AI safety pledge signed by OpenAI, Nvidia, Alphabet, and Meta. President Trump called the pledge morally binding, but it has no stated consequences for companies that do not follow it. The document is one page long and includes internal controls and independent external auditors. Safety advocates say it falls short because existing laws only address harm after it happens. Alphabet stock is unlikely to move much on the pledge alone.
Norway proposes first major ban on AI glasses in public places
Norway has become the first major country to propose a temporary ban on AI glasses in public places. The ban would apply to parks, beaches, schools, kindergartens, and areas where people expect privacy. The government cited concerns about AI glasses tracking people's movements and activities without consent. Norway's Minister of Digitalisation, Trond Giske, expressed concern about surveillance and data collection. The government will also set up an expert group to propose permanent national rules.
Norway floats temporary ban on AI glasses over privacy concerns
Norway is considering a temporary ban on AI glasses in public spaces where people can be photographed or recorded without knowledge. The ban could apply to healthcare facilities, fitness centers, schools, playgrounds, parks, beaches, and shopping centers. The government said it is not proposing a total ban and is considering exceptions for vulnerable groups. The temporary ban would give authorities time to study the issue and develop permanent regulation. Norway's government plans to present the proposal to parliament as soon as possible.
Paylocity Adds AI Hiring Tool EasySource to Marketplace
HireQuotient's AI sourcing agent EasySource joined the Paylocity Marketplace in early October 2026. It is one of only eight AI tools on the platform. The integration gives Paylocity clients access to automated candidate discovery and evaluation. This move supports Paylocity's push to deepen AI-driven workflow automation for talent acquisition.
Hon Hai Reports Strong Sales Driven by AI Demand
Nvidia partner Hon Hai Precision Industry reported better-than-expected quarterly revenue for the three months ended September. Sales reached NT$3.03 trillion, up 47 percent from the prior period. The strong results reflect continued high spending on global AI infrastructure. Hon Hai serves as a server assembly partner for Nvidia and is also the primary iPhone manufacturer.
Calix Focuses on Fiber and AI for Cable Operators
Calix is positioning itself as more than an access vendor as cable operators shift to fiber-based networks. The company uses AI, subscriber data, and automation to help providers reduce customer churn. Calix aims to increase customer lifetime value by offering a comprehensive solution. Fiber connects customers efficiently while AI helps keep them connected.
Inbenta Talks About AI Use in Financial Services
Melissa Solis, CEO of Inbenta, discussed AI implementation challenges in financial services. She noted that many banks found AI deployments did not match what vendors promised. Inbenta offers the Encore platform, which provides AI solutions with 98 percent accuracy and more than 850 integrations. The company is headquartered in Allen, Texas and was founded in 2005.
Air Liquide Sees Electronics Growth From AI Chip Demand
Air Liquide expects its electronics business to grow from 2.5 billion euros in 2025 to over 4 billion euros by 2030. The growth is driven by demand for semiconductors used in AI and cloud computing. The plan implies annual growth of about 10 percent. More than half of the projected growth is already covered by signed long-term contracts.
Korean AI Startup Buzz & Beyond Signs First U.S. Data Deal
Buzz & Beyond, a Seoul-based AI company, signed its first U.S. commercial data agreement with a Silicon Valley analytics firm. The company's vling platform analyzes social video content from YouTube, Instagram and TikTok to provide business intelligence. Buzz & Beyond was selected for Startup Battlefield 200 at TechCrunch Disrupt. More than 2,000 businesses in Korea have used its services over the past three years.
Companies Struggle to Forecast AI Spending Costs
A Wall Street report says companies are finding it harder to predict how much they will spend on AI. AI acts like a human worker, making decisions that can lead to unexpected costs. More advanced AI models cost more per token but can sometimes save money by working faster. Researchers tested this idea earlier this year and warned that using cheap models for hard tasks can cause spending to spike.
DataWeave Helps Journalists Analyze Structured Data with LLMs
DataWeave is a new system that helps journalists explore large structured datasets using large language models. It combines conversational interaction, schema grounding and executable query generation to support data analysis. The system was tested with professional journalists studying the U.S. Department of Education's IPEDS dataset. DataWeave treats the language model as a partner whose results can be inspected and corrected as hypotheses change.
Sources
- Gary Marcus Likens AI Agents to Cars With Cardboard Brakes as FTC Probe Opens
- Six AI companies agree to voluntary safety accord with the White House
- White House Reveals Voluntary AI Safety Pledge Signed by OpenAI, Nvidia, Alphabet and Meta
- AI glasses face their first major government crackdown
- Norway floats temporary but total ban on AI glasses as it investigates ‘socially beneficial uses’
- EasySource Marketplace Listing Might Change The Case For Investing In Paylocity (PCTY)
- Nvidia Partner Hon Hai Beats Sales Estimates Due to AI Frenzy
- Why Calix came to a cable show: Fiber gets customers connected. AI keeps them.
- Inbenta’s Melissa Solis on Strategies for Effective AI Implementation in Financial Services
- AI chip demand to drive Air Liquide electronics sales above €4bn by 2030
- Korean Video Understanding AI Startup Buzz & Beyond Signs First U.S. Data Deal Ahead of TechCrunch Disrupt
- Businesses Finding It Harder to Predict AI Spending
- DataWeave: Deploying Human-LLM Analytics for Exploratory Structured Data Analysis
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