A newsletter breaking down AI research, technology, and Australian property in plain English
A Fudan University preprint proposes MalGuard, a graph-based detector that groups code into operational roles to catch evasive malware byte-scanners miss.
OpenAI's July 31 post claims its safety and transparency practices support European AI governance, but offers no compliance details as the EU AI Act
OmegaUse-OfficeVal pairs 100 real office tasks with labour costs, showing AI agents are cheaper and faster but still fall short on quality.
A new arXiv survey maps how attacks on world models, the predictive engines behind embodied AI, can propagate from data into physical action.
OpenAI's July 31 post describes a full-stack push for cheaper, more capable AI, arguing falling intelligence costs change what work is worth doing for
An arXiv preprint proposes MTGuard, a hybrid analysis framework that catches malicious MCP tool use in AI agents while preserving normal task performance.
RSMeM adds a knowledge-enhanced memory system to remote sensing AI agents, improving DeepSeek-V3.2 accuracy 6% with under 1% extra tokens, per arXiv.
Change2Task, a July 30 arXiv preprint, converts merged pull requests into verified coding agent tasks at 79.6% success, targeting the training-data
AgentToolMO proposes cross-vendor trust signals for AI agents in autonomous telecom networks, cutting cascade failures from hours to near-real-time.
