GLM 5.2

Recent evaluations by Anthropic's Frontier Red Team reveal that next-generation models are beginning to master complex binary exploitation techniques. While Claude Mythos Preview currently leads in success rates, the emergence of these capabilities marks a critical shift in AI-driven cyber threats.

A sophisticated cyberattack campaign leveraged autonomous AI agents to breach dozens of companies with minimal human intervention and extremely low operational costs. The attack resulted in massive credit card data theft and the deployment of web skimmers across multiple retail platforms.

Researchers have developed CyberFactory, a unified framework that automates the creation of high-quality cybersecurity training data from real-world vulnerabilities. By using agentic trajectories to train the OpenAegis model, they achieved state-of-the-art performance in vulnerability detection and patching.

Researchers have developed CyberFactory, a unified framework that automates the creation of high-quality cybersecurity training data from real-world vulnerabilities. By using agentic trajectories to train the OpenAegis model, they achieved state-of-the-art performance in vulnerability detection and patching.

FreeToken is a novel serving system that optimizes MoE model inference on consumer-grade hardware by adapting to varying bandwidth and memory availability. It addresses the challenges of expert movement and heterogeneous resource management in agentic workloads.

Perplexity has introduced SPACE, a new sandbox platform optimized for the stateful requirements of long-duration AI agents. By leveraging Firecracker and Btrfs, the platform enables high-performance session persistence, snapshots, and forking.