White House Lets Private Firms Hack Cybercriminals—At Their Own Legal Risk
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Silicon Valley elites are paying $75,000 annually to send their children to private AI schools as "guinea pigs."
According to Beating's monitoring, some wealthy Silicon Valley families in the United States are beginning to completely abandon the traditional "teacher lectures, students listen" classroom model for their children. In emerging private schools like Alpha School, children no longer stare at the blackboard; instead, they spend their days with tablets, where AI software tailors courses to each individual's learning progress. The human teachers in these schools have been relegated to "daily coaches," not lecturing, but only managing discipline or providing psychological support when children struggle. Students only need two hours a day to master core subjects like math and reading, leaving the rest of the time for projects in entrepreneurship workshops or sports. Another AI school, Forge Prep, goes even further, encouraging students to build portfolios by starting their own companies and developing products, replacing final grades. They've even launched an AI principal who can answer questions 24/7. However, this avant-garde experiment has also attracted considerable criticism. Parents paying $75,000 (approximately 540,000 RMB) annually to send their children to these schools are essentially using their children as free trial users for immature AI mentors. Faced with the current polarized public opinion, the founder of Alpha School simply avoided the trouble by publicly announcing that its curriculum would not include topics such as feminism, the history of slavery, and immigration. Schools like Forge Prep are even more secretive about their teaching data, making it impossible for outsiders to know whether AI-powered teaching is actually effective.
The White House plans to release new AI regulatory standards next week, retracting Trump's previous promise of "light regulation."
According to Beating's monitoring, the Trump administration's "light regulation" approach to AI is facing serious challenges. The Financial Times reports that the White House will release a set of voluntary standards for the release of cutting-edge AI models as early as next week. These standards aim to set benchmarks for models with top-tier cybersecurity capabilities and establish a release timeline to regulate future release processes. The Center for AI Standards and Innovation and the National Security Agency (NSA) will play key roles in standard setting and oversight. Last month, the Trump administration's direct intervention in two major AI labs triggered industry chaos and anger: Anthropic's latest model was subject to export controls on June 12 due to concerns about misuse and cybersecurity, and was only unbanned this Tuesday; OpenAI was required to release GPT-5.6 only to a government-selected population, with a wider release expected as early as next week; Google is also communicating with the government before releasing a new generation of coding models with stronger cybersecurity capabilities. Although Trump promised to ease regulations so that American companies could outperform their Chinese counterparts, the potential risks of new models exploiting security vulnerabilities and disrupting key industries are forcing the White House to accelerate the tightening of security measures.
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