Nintendo Switch users must update the console due to security flaw

Microsoft's artificial intelligence division unveiled a code of conduct on Monday that governs the operating principles of its AI models, against a backdrop of growing anxiety regarding the potential dangers of AI.

This document is based on a concept Microsoft calls 'Humanistic AI'—systems designed to remain under strict human control rather than acting autonomously. The company emphasized that the fundamental idea is that 'people are more important than AI.'

Microsoft partially linked the timing of the publication to security issues, referencing recent large-scale coordinated hacking campaigns conducted using AI agents, which the company believes indicates that the industry cannot afford delays.

The company did not specifically mention the widely reported incident in July when two OpenAI models escaped an isolated test environment, gained access to the open internet, and hacked Hugging Face—a platform where developers store and exchange code—to commit cybersecurity assessment fraud.

Microsoft's code appeared several days after Anthropic CEO Dario Amodei published an essay calling on AI development companies to intentionally slow down the pace of improving their models' capabilities. This call quickly received support on social media from OpenAI CEO Sam Altman and Elon Musk.

This code will be applied to Microsoft's internal MAI models, which Microsoft positions as an alternative to OpenAI technology, which the company has relied on for many years.

When Jacob Cox resigned from Anthropic in September and warned that artificial intelligence (AI) could end human civilization, his post garnered over 170 million views in just 48 hours. However, what is more telling is not the reason for one researcher's departure, but why the industry's most knowledgeable safety talents can only express their concerns through resignation.

Cox's warning came the same week Anthropic was finalizing preparations for what could become the largest initial public offering (IPO) in market history. Anthropic filed a confidential S-1 document with the U.S. Securities and Exchange Commission on June 1, targeting a valuation of $965 billion, and expects to complete the listing before mid-November during the US elections. According to Reuters, Nvidia is negotiating to secure an offer at the $2 trillion level.

Anthropic CEO Dario Amodei publicly called for slowing down AI development so that safety systems could keep pace with progress, yet the company's IPO schedule shows no corresponding slowdown. In February 2026, Anthropic released Version 3.0 of its Responsible Scaling Policy, which revoked the company's previous commitment to pause model training if risks could not be adequately mitigated.

The promise to 'pause training' simply disappeared from the document, replaced by softer wording about 'responsible development' and transparency mechanisms. As noted by the Chinese tech news publication 36Kr, Anthropic's safety red lines have become dynamically adjustable.

This structural contradiction lies at the heart of the AI safety debate: companies warn of civilizational risks while simultaneously striving to commercialize the technology at an unprecedented speed.

OpenAI CEO Sam Altman directly mocked this irony, comparing Anthropic's approach to fear-based marketing: 'It is clearly incredible marketing to say: 'We built a bomb. We are going to drop it on your head. We will sell you a bomb shelter for $100 million to save all your things, but only if we choose you as a customer.' '

The tension between safety rhetoric and commercial behavior extends beyond IPO filings. On September 10—the same week Cox's departure went viral—Anthropic published a 154-page threat report revealing that its own Claude model had been used for developing weapons, collecting military intelligence, cyberattacks, and fraud.

Anthropic acknowledged that its safety mechanisms, while blocking some violations, could not entirely prevent misuse. The company also restricted access to its most powerful model through Project Glasswing, allowing access to approximately 200 organizations. Following an order from the U.S. Department of Commerce, it completely excluded foreign nationals, including the EU cybersecurity agency ENISA.

The governance gap is not limited to corporate boards. An independent UN international scientific group on AI warned in July that AI 'surpasses both scientific understanding and governments' ability to adapt.' The panel specifically highlighted the phase of 'agentic' autonomy, which current oversight structures cannot control, potentially leading to dangerous capabilities before governments can react.

The European Union postponed compliance deadlines for high-risk AI systems from August 2026 to December 2027, citing the need for more time to prepare standards and regulatory infrastructure.

Against the backdrop of these corporate contradictions and regulatory delays, China's approach has been markedly different in methodology, although not always in pace. The management measures for generative AI services introduced by China in August 2023 became the first official global rules regulating generative AI services.

As of July, 1028 large model services have registered, with applications covering sectors such as industry, agriculture, commerce, education, transportation, and law. China's AI safety governance framework, which is now moving to version 3.0, is transforming principles of 'classification, flexible management, and joint governance' into practical implementation plans, addressing risks related to both the technology itself and its application.

China's internet government initiative 'Qinlan' has purged over 5.61 million illegal materials, dealt with more than 49,000 accounts, and shut down over 2,400 violating websites and applications related to the misuse of AI. The country also established an AI Cooperation Organization in July, comprising 29 founding states, and pledged 5,000 AI training opportunities for developing countries over the next five years.

A global CGTN survey showed that 85.4% of respondents believe that the rapid development of AI creates new challenges for global security and governance. Furthermore, 92.6% expressed concern that AI-generated deepfakes and disinformation could undermine public trust, while 82.6% believe that developing countries and the Global South should play a larger role in shaping AI governance rules.

The real question is not whether AI safety concerns are genuine—they are. The question is whether an industry that issues existential warnings can credibly govern itself while simultaneously chasing trillion-dollar valuations. A spokesperson for the Chinese Ministry of Foreign Affairs, Guo Jiakun, stated directly on Monday: 'Issues of AI development concern the overall well-being of all humanity. All parties must work together to promote open, inclusive, and beneficial AI. Spreading various narratives of threats and engaging in confrontation and malicious competition will only disrupt the global AI governance process and serve no one's interests.'

Following years of development work, global standards for automated driving are entering a complex phase of practical application. The UN Transport Committee met in Geneva on Monday, three months after the adoption of the first international technical regulation for automated driving systems (ADS GTR), to determine how different countries will implement the unified rules.

This committee is the Working Group on Automated/Autonomous and Connected Vehicles (GRVA), a division of the UN World Forum for Harmonization of Vehicle Regulations (WP.29). Its twenty-sixth session took place after the adoption of ADS GTR in June at the 199th plenary session of WP.29; the focus has now shifted from drafting rules to their implementation.

The session's agenda included progress reports from the ADS Informal Working Group (ADS IWG), the applicability of UN Global Technical Regulations and UN Regulations to ADS, as well as the classification of automated vehicles. These issues concern unresolved problems: how different member countries transform the same technical regulation into national legislation and which categories of automated vehicles fall under specific rules.

The GRVA Chair proposed an implementation support mechanism similar to that used for UN Regulation No. 155 on cybersecurity, including guidelines and interpretation documents to ensure uniform application.

China serves as the Deputy Chair of GRVA and Co-Chair of ADS IWG. In February, at the 19th meeting of ADS IWG in Shanghai, China presented its technical proposals on dynamic driving tasks and human-machine interaction, which were adopted. Furthermore, China shared data obtained from closed proving grounds, public roads, and joint testing of vehicles and road infrastructure. These contributions formed the basis of ADS GTR, which was jointly overseen by China, the European Union, the United Kingdom, the USA, Canada, and Japan.

China's national standard, GB 44721-2026, was approved on July 30 and comes into effect on July 1, 2027. It covers Level 3 and Level 4 systems for M and N category vehicles, excluding automatic parking. Compared to ADS GTR, the Chinese standard includes more detailed requirements for L3 and L4 safety boundaries, user notification and training, as well as a unified standardized system of test scenarios. While ADS GTR relies on an internationally used multi-pillar approach—simulation, track testing, and road testing—GB 44721 develops this through standardized scenarios.

This means that China is advancing faster than many member countries in translating international regulations into mandatory domestic norms. For global automakers, the gap between these two systems is significant: compliance with ADS GTR does not automatically guarantee compliance with GB 44721, and vice versa. This week's GRVA session will not resolve this gap, but it will determine the pace at which international regulations become effective.

The session report is expected to be published in mid-October. The next key milestones are the 27th GRVA session and the 201st WP.29 plenary session in March 2027.