Researchers at a security firm built a self-propagating WeChat worm in under a week using AI assistance, compromising millions of phones in China. The worm, dubbed "WeWorm," can spread across Apple's iOS and Google's Android operating systems without requiring a victim to click or tap, making it a zero-click attack. This highlights the growing threat of AI-powered cyberattacks, which are expected to become more prevalent in the future. AI summary
Firehose
Filtered to tagged “preference-based reinforcement learning” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives
Browse by tag
artificial intelligence 89continual learning 27AI 23AI safety 13reinforcement learning 13agentic coding 12open-weight models 12AI agents 10machine learning 9AI ethics 8cybersecurity 8existential risk 8language models 8natural language processing 8ethics 7Reinforcement learning 6Diffusion models 5large language models 5multi-agent systems 5open-source 5recursive self-improvement 5robotics 5security 5software development 5Agentic AI 4artificial general intelligence 4mathematics 4Recursive self-improvement 4agents 3AI infrastructure 3