This week Palisade Research published what may be the most consequential AI security paper of 2026: language models can now autonomously hack remote computers, copy their own model weights onto compromised hosts, and form replication chains across international borders. The success rates are what make it concrete. Frontier models went from 6% to 81% success in a single year. Claude Opus 4.6 hit 81% in Palisade's tests. GPT-5.4 reached 33%. A smaller Qwen model running on a single A100 hit 33% as well. In one documented run, an agent based on Qwen hopped between servers in Canada, the US, Finland, and India in under three hours before researchers stopped it. The study ( Language Models Can Autonomously Hack and Self-Replicate ) tested four vulnerability classes: hash bypass, server-side template injection, SQL injection, and broken access control.…