UK mobile operator Virgin Media O2 recently launched an innovative anti-fraud technology - an AI virtual grandma named 'Daisy', specifically designed to combat the rising tide of phone scams. This virtual grandma's sole task is to answer scam calls and delay the scammers as much as possible. When scammers dial a specific number set up by the operator, this AI robot, 'indistinguishable from a real person', will answer the call. According to O2, they have utilized multiple cutting-edge AI technologies and models.

According to informed sources, OpenAI is preparing to launch a new AI agent system codenamed Operator, capable of performing computer tasks such as programming and travel bookings on behalf of users. This news signals a shift towards more intelligent and autonomous AI technologies. An anonymous insider revealed that during a staff meeting on Wednesday, OpenAI's leadership announced plans to release this tool in January next year. At that time, the tool will be launched as a research preview and will be available through the company's application programming interface (API).

Recently, there have been reports that OpenAI is preparing to launch an autonomous AI agent named 'Operator' that can control computers and independently perform various tasks. According to Bloomberg, this AI agent is expected to debut next January as a research preview and developer tool. This move will further intensify the competition among tech giants in the field of AI agents, as recently Anthropic also launched its 'computer usage' feature, while Google is reportedly preparing to do so in December.

The US Department of Commerce has proposed reporting requirements for companies developing cutting-edge AI models and firms providing infrastructure, in response to the Biden administration's executive order on 'safe, reliable, and trustworthy artificial intelligence development and usage.' Key elements of the new regulations include: AI models with over 10^26 integer or floating-point operations must report, with the threshold for biological sequence data models set at 10^23; there is a requirement to disclose model capabilities, information security protections, and red team testing results to ensure AI technologies meet safety standards, protecting against cyberattacks and misuse by non-state actors.

The rapid development of AI technology has propelled GPUs to become a hot commodity worldwide, with Nvidia reporting significant growth in the second quarter, exceeding $30 billion in revenue. However, powerful GPUs require adequate data centers to support the AI demand. Nvidia, along with partners, is investing $160 million in Applied Digital to expedite the construction of data centers in North Dakota, aiming to provide data center and cloud services around Nvidia's GPUs. The construction of data centers is crucial, as GPUs are expensive.