Malicious npm packages can overwrite Claude Code’s configuration file, steal OAuth tokens from the network, and use them to access all connected enterprise services while audit logs show clean Anthropic IP addresses.
Hidden-state alignment reduces sampling variance, closes the student-teacher gap more effectively, and trains with less memory and computational time than output-only distillation.
The challenge is not to choose a side, but to create feedback loops that mediate between the pace of AI-accelerated development and the requirements for reliability and maintainability.
Real business environments with actual money, inventory and customers reveal AI capabilities and risks that classic benchmarks miss, ranging from price-fixing to deception to legal misinterpretations.
Agentic AI systems like Claude Mythos offer defensive potential but require a well-established IT security infrastructure — rapid penetrations under inadequate isolation and access control demonstrate the reality.
Unvalidated input in Anthropic’s Claude Code GitHub Action enabled complete repository takeover via a simple issue, with potential impact on all dependent downstream projects.
Hugging Face Transformers allows silent remote code execution via obfuscated parameters in model configurations as long as the optional kernels package is installed (CVE-2026-4372, patched in 5.3.0).