A user on iOS 16.6.1 with TrollStore used the ProcFlowGG tool and found many apps active in the system process list. The user had disabled background app refresh, denied notification permissions, and had not launched these apps for weeks. Suspected exploitation methods include Dynamic Island activities, unified ad alliance APIs, or widget mechanisms. The discovery challenges iOS's strict background management reputation and raises privacy concerns. The user, skeptical of AI-generated explanations, asked the community for clarification.
The European Union’s AI Act transparency requirements become enforceable on August 2, 2026, mandating that AI systems like chatbots clearly disclose their AI identity to users. AI-generated or modified content, including deepfakes, must be labeled and carry machine-readable markers. The EU AI Office and member states will coordinate enforcement, with fines of up to €7.5 million or 1% of global annual turnover for non-compliance. Over 180 organizations, including Google, Microsoft, OpenAI, and Amazon, signed the accompanying code of practice on AI-generated content transparency, while Meta refused to join. This phase follows the February 2025 ban on unacceptable AI practices and will be followed by obligations for high-risk systems in late 2027 and 2028.
An industry analysis reveals that smart access control systems, AI patrolling, and online payment tools in Chinese residential communities are being deployed not to enhance service quality but to restrict non-paying residents, publicly announce overdue fees, and lock them out, eroding trust between property management and homeowners. Data shows top 500 property companies' average fee collection rate fell from 93% in 2020 to 71% in 2025, with 64.7% of recent property withdrawals initiated by companies themselves. While 50% of leading firms have adopted AI large models, digital tools have become 'information black boxes' and control levers, fueling a vicious cycle of non-payment and declining service. The government's 2026 policy signals demand transparent, service-oriented digitalization to reverse the trend.
Over the past year, several projects have taken early steps toward recursive self-improvement (RSI), where AI systems help design better AI. OpenAI's GPT-5.3-Codex, released in February 2026, deeply participates in its own training debugging, deployment management, and evaluation analysis. Anthropic disclosed that most of its internal code is now written by its Claude Code tool. Google DeepMind's AlphaEvolve (2025) leverages large models to explore and optimize algorithms for chip design and neural networks. The Darwin Gödel Machines project (2025) enables AI agents to modify their own code via evolutionary algorithms. An 'AI Scientist' system, published in Nature (March 2026), automates the entire research pipeline—idea generation, experimentation, paper writing, and peer review. While these systems mark progress, experts stress that full RSI—where AIs autonomously invent, evaluate, and improve without human guidance—remains out of reach, and human oversight is still required.
A legitimate buyer of the Typecho Handsome theme discovered that its license verification logic in the encrypted CoreInterface.php file caused an infinite eval() loop. The loop pushed a 4-core CPU to 100% utilization and high load, making the site unresponsive. The issue persisted across multiple PHP versions and after confirming server connectivity, pinpointing the theme’s obfuscation method (DyEncrypt) as the culprit. The theme author was unreachable, leaving the user without a fix and forced to disable the theme to restore service. The incident highlights the risks of aggressive, heavily obfuscated licensing checks in commercial themes.
Meituan has officially launched a ‘Stop the Clock at Red Lights’ feature that automatically pauses delivery countdowns when riders wait at traffic intersections, first piloted in Suzhou in collaboration with local traffic police. The system uses real-time traffic light data and rider location to detect stops, displaying a countdown and recording wait time, which is then added to the order's latest delivery deadline. If a rider handles multiple orders, the red-light wait time is applied to each one. The initial pilot covers approximately 1,100 intersections in Suzhou's Gusu District and Industrial Park. Beijing, Wuxi, and over 20 other cities are in testing or evaluation, with the feature expected to reach more than 1 million riders within the year. This addresses the long-standing conflict between obeying traffic laws and meeting tight delivery schedules.