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 87continual learning 32AI 24reinforcement learning 14agentic coding 13AI safety 13open-weight models 13AI agents 10existential risk 9AI ethics 8cybersecurity 8ethics 7language models 7machine learning 7natural language processing 6open-source 6Reinforcement learning 6security 6artificial general intelligence 5Diffusion models 5recursive self-improvement 5robotics 5software development 5Agentic AI 4large language models 4mathematics 4multi-agent systems 4Recursive self-improvement 4agentic AI 3agents 3